{"pageNumber":"95","pageRowStart":"2350","pageSize":"25","recordCount":165309,"records":[{"id":70265809,"text":"70265809 - 2025 - Combining multisite tsunami and deformation modeling to constrain slip distributions for the 1700 C.E. Cascadia earthquake","interactions":[],"lastModifiedDate":"2025-04-16T14:18:07.747942","indexId":"70265809","displayToPublicDate":"2025-01-24T09:13:07","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":"Combining multisite tsunami and deformation modeling to constrain slip distributions for the 1700 C.E. Cascadia earthquake","docAbstract":"<p><span>A major earthquake ruptured the Cascadia subduction zone (CSZ) on 26 January 1700. Key paleoseismic evidence associated with this event include tsunami deposits, stratigraphic evidence of coastal coseismic subsidence, written Japanese records of a tsunami unaccompanied by earthquake shaking, and margin‐wide turbidites found offshore and in lacustrine environments. Despite this wealth of independent clues, important details about this event remain unresolved. Dating uncertainties do not conclusively establish whether the proxies are from one earthquake or a sequence of them, and we have limited knowledge of the likely slip distributions of the event or events. Here, we use a catalog of 37,500 candidate synthetic ruptures between&nbsp;</span><span class=\"inline-formula no-formula-id\"><i>M</i><sub>w</sub></span><span>&nbsp;7.8 and 9.2 and simulate their resulting coseismic deformation and tsunami inundation. Each model is then compared against estimated Japan tsunami arrivals, regional coastal subsidence records, and local paleotsunami deposits mapped at six different coastal marshes and one coastal lake along the CSZ. We find that seven full‐margin ruptures with a median magnitude of <span class=\"inline-formula no-formula-id\"><i>M</i><sub>w</sub></span></span><span>&nbsp;9.1 satisfy all three constraints. We favor one <span class=\"inline-formula no-formula-id\"><i>M</i><sub>w</sub></span></span><span>&nbsp;9.11 model that best matches all site paleoseismic observations and suggests that the Cascadia megathrust slipped up to ∼30&nbsp;m and must have shallow geodetic coupling. We also find that some sequences composed of three or four ruptures can still satisfy the observations, yet no sequences of two ruptures can. Sequences are differentiated into three groups based on whether they contain a mainshock rupture located in the south (&gt;44° N) or further north. All sequences contain unruptured portions of the megathrust and most contain mainshocks with peak slip above 40&nbsp;m. The fit of the geologic evidence from sequences is poor in comparison to single‐event models. Therefore, sequences are generally less favored compared to full‐margin events.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240218","usgsCitation":"Small, D., Melgar, D., La Selle, S., and Meigs, A.J., 2025, Combining multisite tsunami and deformation modeling to constrain slip distributions for the 1700 C.E. Cascadia earthquake: Bulletin of the Seismological Society of America, v. 115, no. 2, p. 431-451, https://doi.org/10.1785/0120240218.","productDescription":"21 p.","startPage":"431","endPage":"451","ipdsId":"IP-172408","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":484637,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"British Columbia, California, Oregon, Washington","otherGeospatial":"Cascadia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -128.30849189050252,\n              50.14252629443621\n            ],\n            [\n              -128.30849189050252,\n              39.063748655690205\n            ],\n            [\n              -121.82821545291904,\n              39.063748655690205\n            ],\n            [\n              -121.82821545291904,\n              50.14252629443621\n            ],\n            [\n              -128.30849189050252,\n              50.14252629443621\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"115","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Small, David 0000-0003-3606-7664","orcid":"https://orcid.org/0000-0003-3606-7664","contributorId":353460,"corporation":false,"usgs":false,"family":"Small","given":"David","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":933603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Melgar, Diego","contributorId":341315,"corporation":false,"usgs":false,"family":"Melgar","given":"Diego","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":933604,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"La Selle, SeanPaul 0000-0002-4500-7885 slaselle@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-7885","contributorId":181565,"corporation":false,"usgs":true,"family":"La Selle","given":"SeanPaul","email":"slaselle@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":933605,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meigs, Andrew J","contributorId":300037,"corporation":false,"usgs":false,"family":"Meigs","given":"Andrew","email":"","middleInitial":"J","affiliations":[{"id":65004,"text":"College of Earth, Ocean and Atmospheric Sciences Oregon State University","active":true,"usgs":false}],"preferred":false,"id":933606,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70263249,"text":"70263249 - 2025 - Earthquake recurrence estimates for northern Caribbean faults from combinatorial optimization","interactions":[],"lastModifiedDate":"2025-02-03T16:15:20.159375","indexId":"70263249","displayToPublicDate":"2025-01-24T09:07:13","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10542,"text":"The Seismic Record","active":true,"publicationSubtype":{"id":10}},"title":"Earthquake recurrence estimates for northern Caribbean faults from combinatorial optimization","docAbstract":"We use combinatorial optimization to find the optimal spatial distribution of random samples of earthquakes (≥6.5) that minimize the misfit in target slip rates for all faults in the northeast Caribbean, and we derive magnitude-frequency relationships with uncertainties for these faults. Slip rates for many faults are derived from GPS block models, not direct measurements, because of their underwater locations. Predicted recurrence rates for eastern Hispaniola and Puerto Rico Trench faults are 220-450 yr for M7 and 3-5 kyr for M8, with maximum feasible magnitude of M8.2. The most frequent earthquakes with magnitudes ≥7.0 are predicted on the large upper plate strike-slip faults, Enriquillo (EF) and Septentrional Fault, commensurate with the historical record. Calais et al. (2023) suggested that shortening in western Hispaniola is accommodated on the offshore Jérémie and onshore Malpasse faults north and south of EF, instead of on terrestrial faults in western Hispaniola and EF. Because of our system-modeling approach, such a configuration predicts less frequent earthquakes on EF and on western Hispaniola and Muertos convergent zones. Recurrence times of a few 100s yr for M6.7 earthquakes is predicted on the submerged faults in Mona Passage, and infrequent M>7 earthquakes are predicted on the Virgin Islands faults.","language":"English","publisher":"GeoScienceWorld","doi":"10.1785/0320240034","usgsCitation":"ten Brink, U.S., and Geist, E.L., 2025, Earthquake recurrence estimates for northern Caribbean faults from combinatorial optimization: The Seismic Record, v. 5, no. 1, p. 44-54, https://doi.org/10.1785/0320240034.","productDescription":"11 p.","startPage":"44","endPage":"54","ipdsId":"IP-172841","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":487615,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0320240034","text":"Publisher Index Page"},{"id":481613,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Cuba","otherGeospatial":"Lesser Antilles","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -84.54172745991896,\n              23.273159122073167\n            ],\n            [\n              -85.08912790381078,\n              21.90480011614151\n            ],\n            [\n              -80.37849990594867,\n              17.049272442647773\n            ],\n            [\n              -76.07696465381447,\n              16.802734884204483\n            ],\n            [\n              -67.83418626407995,\n              15.961899038918276\n            ],\n            [\n              -60.7259938596588,\n              11.648146623560137\n            ],\n            [\n              -61.859153691893425,\n              18.284983969218942\n            ],\n            [\n              -68.38367139873552,\n              20.8955538593181\n            ],\n            [\n              -79.22367804805796,\n              23.563735513601365\n            ],\n            [\n              -84.54172745991896,\n              23.273159122073167\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"5","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"ten Brink, Uri S. 0000-0001-6858-3001","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":201741,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri","email":"","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":926015,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Geist, Eric L. 0000-0003-0611-1150","orcid":"https://orcid.org/0000-0003-0611-1150","contributorId":15543,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","email":"","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":926016,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70263406,"text":"70263406 - 2025 - Landslide-channel feedbacks amplify channel widening during floods","interactions":[],"lastModifiedDate":"2025-02-10T16:07:46.936249","indexId":"70263406","displayToPublicDate":"2025-01-24T09:01:08","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Landslide-channel feedbacks amplify channel widening during floods","docAbstract":"<p><span>Channel widening is a major hazard during floods, particularly in confined mountainous catchments. However, channel widening during floods is not well understood and not always explained by hydraulic variables alone. Floods in mountainous regions often coincide with landslides triggered by heavy rainfall, yet landslide-channel interactions during a flood event are not well known or documented. Here we demonstrate with an example from the Great Colorado Flood in 2013, a 1000 year precipitation event, how landslide-channel feedbacks can substantially amplify channel widening and flood risk. We use a combination of DEM differencing, field analysis, and multiphase flow modeling to document landslide-channel interaction during the flood event in which sediment delivered by landslides temporarily dammed the channel before failing and generating substantial channel widening. We propose that such landslide-flood interactions will become increasingly important to account for in flood hazard assessment as flooding and landsliding both increase with extreme rainfall under climate change.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s44304-025-00059-6","usgsCitation":"Bennett, G.L., Panici, D., Rengers, F.K., Kean, J.W., and Rathburn, S.L., 2025, Landslide-channel feedbacks amplify channel widening during floods: Natural Hazards, v. 2, 7, 9 p., https://doi.org/10.1038/s44304-025-00059-6.","productDescription":"7, 9 p.","ipdsId":"IP-157384","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":487461,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s44304-025-00059-6","text":"Publisher Index Page"},{"id":481870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"North Saint Vrain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105.73760664650443,\n              40.35112459287464\n            ],\n            [\n              -105.73760664650443,\n              40.10499805445866\n            ],\n            [\n              -105.48739640788911,\n              40.10499805445866\n            ],\n            [\n              -105.48739640788911,\n              40.35112459287464\n            ],\n            [\n              -105.73760664650443,\n              40.35112459287464\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"2","noUsgsAuthors":false,"publicationDate":"2025-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Bennett, Georgina L.","contributorId":218097,"corporation":false,"usgs":false,"family":"Bennett","given":"Georgina","email":"","middleInitial":"L.","affiliations":[{"id":39743,"text":"School of Environmental Sciences, University of East Anglia, Norwich, UK.","active":true,"usgs":false}],"preferred":false,"id":926872,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Panici, Diego 0000-0001-7394-7981","orcid":"https://orcid.org/0000-0001-7394-7981","contributorId":350752,"corporation":false,"usgs":false,"family":"Panici","given":"Diego","affiliations":[{"id":17840,"text":"University of Exeter","active":true,"usgs":false}],"preferred":false,"id":926873,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":926874,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":926875,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rathburn, Sara L.","contributorId":140606,"corporation":false,"usgs":false,"family":"Rathburn","given":"Sara","email":"","middleInitial":"L.","affiliations":[{"id":13539,"text":"Department of Geosciences, Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":926876,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70263059,"text":"70263059 - 2025 - Groundwater flowpath characteristics drive variability in per- and polyfluoroalkyl substances (PFAS) loading across a stream-wetland system","interactions":[],"lastModifiedDate":"2025-01-29T14:40:21.402468","indexId":"70263059","displayToPublicDate":"2025-01-24T08:34:22","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater flowpath characteristics drive variability in per- and polyfluoroalkyl substances (PFAS) loading across a stream-wetland system","docAbstract":"<p><span>Groundwater-dependent ecosystems in areas with industrial land use are at risk of exposure to a PFAS chemicals. We investigated one such system with several known PFAS source areas, where high and low permeability sediments (glacial) coupled with groundwater-lake and groundwater/surface-water interactions created complex ‘source to seep’ dynamics. Using heat-tracing and chemical methods, numerous preferential groundwater discharge zones were identified and sampled across the upper Quashnet River stream-wetland system in Mashpee, MA, USA, downgradient of Joint Base Cape Cod (JBCC). Surface-water and groundwater samples were analyzed for 40 PFAS compounds between March and October 2022. Samples were collected from groundwater seeps identified as preferential discharge points (PDPs), wells upgradient of the stream-wetland system, contributing flow-through kettle lakes, and along Quashnet River surface-waters. PFAS from sampled waters contained perfluorinated carboxylates (PFPea, PFHxA, PFNA), perfluorinated sulfonates (PFBS, PFPeS, PFHxS, PFOS), fluorotelomer sulfonates (6:2, 8:2 FtS), and perfluoroalkyl sulfonamides (PFOSA). Samples from PDPs and wells had measured PFAS concentrations ranging from non-detect to 4677&nbsp;ng/L&nbsp;ng/L (mean&nbsp;=&nbsp;418&nbsp;ng/L, std.&nbsp;=&nbsp;709&nbsp;ng/L), and a range of deuterium excess values (3.2 to 15.9 per mil) indicative of varying degrees of groundwater-lake interaction prior to groundwater flowpath emergence at PDPs. Correlations (</span><i>p</i><span>&nbsp;&lt;&nbsp;0.01) between deuterium excess, %PFAS precursors, and terminal PFAS compounds highlighted potential precursor transformations associated with lake-groundwater exchange along flowpaths sourcing PDPs. However, some seepages had higher total PFAS concentrations (&gt;1000&nbsp;ng/L) than upgradient kettle lakes despite showing lake (evaporative) isotopic signatures, indicating the potential for groundwater flowpath convergence at wetland discharge zones and the influence of lakebed PFAS precursor reactions. Results from these synoptic surveys address gaps in the existing PFAS literature by demonstrating the importance of subsurface fate and transport on PFAS compound concentrations and mass loading in preferential groundwater discharge zones.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2025.178533","usgsCitation":"Rey, D., Briggs, M., Tokranov, A.K., Lind, H., Scordato, P., Iery, R., Moore, H., Slater, L., and LeBlanc, D.R., 2025, Groundwater flowpath characteristics drive variability in per- and polyfluoroalkyl substances (PFAS) loading across a stream-wetland system: Science of the Total Environment, v. 964, 178533, 15 p., https://doi.org/10.1016/j.scitotenv.2025.178533.","productDescription":"178533, 15 p.","ipdsId":"IP-159000","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":489909,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2025.178533","text":"Publisher Index Page"},{"id":481444,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -70.59583926396743,\n              41.69417266188978\n            ],\n            [\n              -70.59583926396743,\n              41.55843372717109\n            ],\n            [\n              -70.45832276101959,\n              41.55843372717109\n            ],\n            [\n              -70.45832276101959,\n              41.69417266188978\n            ],\n            [\n              -70.59583926396743,\n              41.69417266188978\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"964","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rey, David M. 0000-0003-2629-365X","orcid":"https://orcid.org/0000-0003-2629-365X","contributorId":211848,"corporation":false,"usgs":true,"family":"Rey","given":"David M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":925355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":222759,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":925356,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tokranov, Andrea K. 0000-0003-4811-8641","orcid":"https://orcid.org/0000-0003-4811-8641","contributorId":255483,"corporation":false,"usgs":true,"family":"Tokranov","given":"Andrea","email":"","middleInitial":"K.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":925357,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lind, Hayley Gale 0000-0003-3134-5223","orcid":"https://orcid.org/0000-0003-3134-5223","contributorId":347321,"corporation":false,"usgs":true,"family":"Lind","given":"Hayley Gale","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":925358,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scordato, Patrick Thomas 0009-0003-4406-9835","orcid":"https://orcid.org/0009-0003-4406-9835","contributorId":350094,"corporation":false,"usgs":true,"family":"Scordato","given":"Patrick Thomas","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":925359,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Iery, Ramona","contributorId":350095,"corporation":false,"usgs":false,"family":"Iery","given":"Ramona","affiliations":[{"id":83682,"text":"Department of Defense - NAVFAC EXWC","active":true,"usgs":false}],"preferred":false,"id":925360,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moore, Henry 0009-0002-0338-4524","orcid":"https://orcid.org/0009-0002-0338-4524","contributorId":350097,"corporation":false,"usgs":false,"family":"Moore","given":"Henry","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":925361,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Slater, L. 0000-0003-0292-746X","orcid":"https://orcid.org/0000-0003-0292-746X","contributorId":247506,"corporation":false,"usgs":false,"family":"Slater","given":"L.","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":925362,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"LeBlanc, Denis R. 0000-0002-4646-2628 dleblanc@usgs.gov","orcid":"https://orcid.org/0000-0002-4646-2628","contributorId":1696,"corporation":false,"usgs":true,"family":"LeBlanc","given":"Denis","email":"dleblanc@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":925363,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70263287,"text":"70263287 - 2025 - Biotic and abiotic drivers of ecosystem temporal stability in herbaceous wetlands in China","interactions":[],"lastModifiedDate":"2025-02-04T15:20:26.056947","indexId":"70263287","displayToPublicDate":"2025-01-24T08:15:53","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":"Biotic and abiotic drivers of ecosystem temporal stability in herbaceous wetlands in China","docAbstract":"Maintaining the stability of ecosystems is critical for supporting essential ecosystem services over time. However, our understanding of the contribution of the diverse biotic and abiotic factors to this stability in wetlands remains limited. Here, we combined data from a field vegetation survey of 725 herbaceous wetland sites in China with remote sensing information from the Enhanced Vegetation Index (EVI) from 2010 to 2020 to explore the contribution of biotic and abiotic factors to the temporal stability of primary productivity. We found that plant species richness directly contributed to stability on a national scale, but that this contribution differed among climate zones, hydrological regimes, and vegetation types. In addition, many abiotic factors, including soil properties, geographical location, and climate also contributed to stability. Piecewise structural equation modeling identified that soil properties, including soil pH, total nitrogen, and soil organic carbon, emerged as primary factors modulating ecosystem stability, both directly and indirectly by affecting species richness and vegetation type. Higher species richness and soil organic carbon were related to higher ecosystem stability in peatlands but less so in coastal and inland marshes. These findings enhance our ability to forecast how wetland ecosystems may respond to future environmental changes and biodiversity loss and can inform policy decisions related to ecosystem stability.","language":"English","publisher":"Wiley","doi":"10.1111/gcb.70056","usgsCitation":"Wang, G., Hu, N., Hautier, Y., Middleton, B., Wang, M., Zhao, M., Meng, J., Ma, Z., Liu, B., Liu, Y., and Jiang, M., 2025, Biotic and abiotic drivers of ecosystem temporal stability in herbaceous wetlands in China: Global Change Biology, v. 31, no. 1, e70056, 10 p., https://doi.org/10.1111/gcb.70056.","productDescription":"e70056, 10 p.","ipdsId":"IP-166071","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":499262,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.70056","text":"Publisher Index 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Guodong","contributorId":350506,"corporation":false,"usgs":false,"family":"Wang","given":"Guodong","affiliations":[{"id":83757,"text":"Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun","active":true,"usgs":false}],"preferred":false,"id":926162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hu, Nanlin","contributorId":350507,"corporation":false,"usgs":false,"family":"Hu","given":"Nanlin","affiliations":[{"id":83757,"text":"Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun","active":true,"usgs":false}],"preferred":false,"id":926163,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hautier, Yann","contributorId":271107,"corporation":false,"usgs":false,"family":"Hautier","given":"Yann","affiliations":[{"id":56284,"text":"Ecology and Biodiversity Group, Department of Biology, Utrecht University, Utrecht, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":926164,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Middleton, Beth 0000-0002-1220-2326","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":222689,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":926165,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Ming","contributorId":350508,"corporation":false,"usgs":false,"family":"Wang","given":"Ming","affiliations":[{"id":83758,"text":"State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Institute for Peat and Mire Research, Northeast Normal University, Changchun, China","active":true,"usgs":false}],"preferred":false,"id":926166,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhao, Meiling","contributorId":350509,"corporation":false,"usgs":false,"family":"Zhao","given":"Meiling","affiliations":[{"id":83757,"text":"Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun","active":true,"usgs":false}],"preferred":false,"id":926167,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meng, Jingci","contributorId":350510,"corporation":false,"usgs":false,"family":"Meng","given":"Jingci","affiliations":[{"id":83757,"text":"Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun","active":true,"usgs":false}],"preferred":false,"id":926168,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ma, Zijun","contributorId":350511,"corporation":false,"usgs":false,"family":"Ma","given":"Zijun","affiliations":[{"id":83757,"text":"Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun","active":true,"usgs":false}],"preferred":false,"id":926169,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Liu, Bo","contributorId":338749,"corporation":false,"usgs":false,"family":"Liu","given":"Bo","email":"","affiliations":[],"preferred":false,"id":926170,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Liu, Yanjie","contributorId":350512,"corporation":false,"usgs":false,"family":"Liu","given":"Yanjie","affiliations":[{"id":83757,"text":"Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun","active":true,"usgs":false}],"preferred":false,"id":926171,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jiang, Mingkai","contributorId":245059,"corporation":false,"usgs":false,"family":"Jiang","given":"Mingkai","email":"","affiliations":[{"id":49069,"text":"Hawkesbury Institute for the Environment, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751 Australia","active":true,"usgs":false}],"preferred":false,"id":926172,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70263376,"text":"70263376 - 2025 - Improving hydroacoustic methods for monitoring suspended-sand flux and grain size in sediment-laden rivers","interactions":[],"lastModifiedDate":"2025-02-07T20:16:15.850263","indexId":"70263376","displayToPublicDate":"2025-01-23T13:10:33","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Improving hydroacoustic methods for monitoring suspended-sand flux and grain size in sediment-laden rivers","docAbstract":"<p><span>Suspended-sand concentration and grain-size data in rivers provide valuable information on the catchment's dynamics for scientists and river managers. Producing continuous measurements of suspended-sand concentrations remains a scientific challenge due to their high spatial and temporal variability. Traditional methods such as sediment-rating curves may be highly uncertain, and optical turbidity is insensitive to coarse particles when there are many fine particles. Surrogate hydroacoustic methods aim to improve sand concentration measurements. These single- or dual-frequency acoustic methods use acoustic attenuation and/or backscatter to estimate fine-sediment (i.e., silt and clay) and/or sand concentration and possibly grain size. New methods have recently been developed and applied in rivers exhibiting a wide range of sediment conditions in North America but not independently tested elsewhere by other researchers. In this article, we apply, adapt and evaluate hydroacoustic methods to continuously estimate suspended-sand concentration and grain size in an Alpine river with high suspended-sediment concentrations. From the example of the River Isère at Grenoble Campus, France, we show that the hydroacoustic methods adapted to local conditions may yield valuable sand concentration estimates consistent with traditional measurements. Compared with prior knowledge, limited additional information on the grain size can be obtained due to high uncertainties. Hydroacoustic concentration estimates are more sensitive to real changes in concentration at the event scale than traditional rating-curve methods that relate concentration to discharge only. These findings open the perspective for facilitated sand concentration monitoring at a higher temporal resolution with decreased field work.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/esp.6056","usgsCitation":"Marggraf, J., Le Coz, J., Camenen, B., Lauters, F., Dramais, G., Pierrefeu, G., and Topping, D.J., 2025, Improving hydroacoustic methods for monitoring suspended-sand flux and grain size in sediment-laden rivers: Earth Surface Processes and Landforms, v. 50, no. 1, e6056, 23 p., https://doi.org/10.1002/esp.6056.","productDescription":"e6056, 23 p.","ipdsId":"IP-166620","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":487630,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.6056","text":"Publisher Index Page"},{"id":481810,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"France","otherGeospatial":"Grenoble Campus","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              5.661882051323261,\n              45.223790952419705\n            ],\n            [\n              5.661882051323261,\n              45.1819511476435\n            ],\n            [\n              5.74135891360703,\n              45.1819511476435\n            ],\n            [\n              5.74135891360703,\n              45.223790952419705\n            ],\n            [\n              5.661882051323261,\n              45.223790952419705\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"50","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Marggraf, Jessica","contributorId":350702,"corporation":false,"usgs":false,"family":"Marggraf","given":"Jessica","affiliations":[{"id":83813,"text":"RiverLy, INRAE, 5 Rue de la Doua, Villeurbanne, 69100, France","active":true,"usgs":false}],"preferred":false,"id":926698,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Le Coz, Jerome","contributorId":350703,"corporation":false,"usgs":false,"family":"Le Coz","given":"Jerome","affiliations":[{"id":83813,"text":"RiverLy, INRAE, 5 Rue de la Doua, Villeurbanne, 69100, France","active":true,"usgs":false}],"preferred":false,"id":926699,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Camenen, Benoıt","contributorId":350704,"corporation":false,"usgs":false,"family":"Camenen","given":"Benoıt","affiliations":[{"id":83813,"text":"RiverLy, INRAE, 5 Rue de la Doua, Villeurbanne, 69100, France","active":true,"usgs":false}],"preferred":false,"id":926700,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lauters, Francois","contributorId":350705,"corporation":false,"usgs":false,"family":"Lauters","given":"Francois","affiliations":[{"id":83814,"text":"Service Etudes Eau Environnement, EDF, 134 Rue de l’´etang, Saint Martin le Vinoux, 38950, France","active":true,"usgs":false}],"preferred":false,"id":926701,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dramais, Guillaume 0000-0002-2703-9314","orcid":"https://orcid.org/0000-0002-2703-9314","contributorId":238955,"corporation":false,"usgs":false,"family":"Dramais","given":"Guillaume","email":"","affiliations":[{"id":47837,"text":"Ph.D. student, IRSTEA, Flagstaff, Arizona","active":true,"usgs":false}],"preferred":false,"id":926702,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pierrefeu, Gilles","contributorId":238958,"corporation":false,"usgs":false,"family":"Pierrefeu","given":"Gilles","email":"","affiliations":[{"id":47841,"text":"Senior Engineer, CNR, Lyon, France","active":true,"usgs":false}],"preferred":false,"id":926703,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Topping, David J. 0000-0002-2104-4577","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":215068,"corporation":false,"usgs":true,"family":"Topping","given":"David","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":926704,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70262823,"text":"70262823 - 2025 - Long-lived partial melt beneath Cascade volcanoes","interactions":[],"lastModifiedDate":"2025-02-11T15:48:35.107872","indexId":"70262823","displayToPublicDate":"2025-01-23T10:59:20","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Long-lived partial melt beneath Cascade volcanoes","docAbstract":"<p><span>Quantitative estimates of magma storage are fundamental to evaluating volcanic dynamics and hazards. Yet our understanding of subvolcanic magmatic plumbing systems and their variability remains limited. There is ongoing debate regarding the ephemerality of shallow magma storage and its volume relative to eruptive output, and so whether an upper-crustal magma body could be a sign of imminent eruption. Here we present seismic imaging of subvolcanic magmatic systems along the Cascade Range arc from systematically modelling the three-dimensional scattered wavefield of teleseismic body waves. This reveals compelling evidence of low-seismic-velocity bodies indicative of partial melt between 5 and 15 km depth beneath most Cascade Range volcanoes. The magma reservoirs beneath these volcanoes vary in depth, size and complexity, but upper-crustal magma bodies are widespread, irrespective of the eruptive flux or time since the last eruption of the associated volcano. This indicates that large volumes of melts can persist at shallow depth throughout eruption cycles beneath large volcanoes.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41561-024-01630-y","usgsCitation":"Pang, G., Abers, G.A., Moran, S.C., and Thelen, W., 2025, Long-lived partial melt beneath Cascade volcanoes: Nature Geoscience, v. 18, p. 184-190, https://doi.org/10.1038/s41561-024-01630-y.","productDescription":"7 p.","startPage":"184","endPage":"190","ipdsId":"IP-171763","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":481152,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","otherGeospatial":"Cascade volcanoes","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.0550198009519,\n              48.97475145081157\n            ],\n            [\n              -123.20704221580439,\n              48.97475145081157\n            ],\n            [\n              -123.20704221580439,\n              40.54505031228959\n            ],\n            [\n              -120.0550198009519,\n              40.54505031228959\n            ],\n            [\n              -120.0550198009519,\n              48.97475145081157\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"18","noUsgsAuthors":false,"publicationDate":"2025-01-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Pang, Guanning","contributorId":204444,"corporation":false,"usgs":false,"family":"Pang","given":"Guanning","email":"","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":924934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abers, Geoffrey A.","contributorId":247887,"corporation":false,"usgs":false,"family":"Abers","given":"Geoffrey","email":"","middleInitial":"A.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":924935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moran, Seth C. 0000-0001-7308-9649 smoran@usgs.gov","orcid":"https://orcid.org/0000-0001-7308-9649","contributorId":224629,"corporation":false,"usgs":true,"family":"Moran","given":"Seth","email":"smoran@usgs.gov","middleInitial":"C.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":924936,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thelen, Weston 0000-0003-2534-5577","orcid":"https://orcid.org/0000-0003-2534-5577","contributorId":215530,"corporation":false,"usgs":true,"family":"Thelen","given":"Weston","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":924937,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70265631,"text":"70265631 - 2025 - Flying fish habitat and co-occurrence with seabirds in the northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2025-04-14T15:03:37.233412","indexId":"70265631","displayToPublicDate":"2025-01-23T10:00:06","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1660,"text":"Fisheries Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Flying fish habitat and co-occurrence with seabirds in the northern Gulf of Mexico","docAbstract":"<p><span>Flying fish (family&nbsp;</span><i>Exocoetidae</i><span>) play an important role in marine food webs, linking sub-surface and aerial predators. The association of seabirds with sub-surface predators in subtropical and tropical regions through facilitated foraging events is a well-known phenomenon and is sometimes used to identify fishing grounds for flying fish, flying fish roe, and tunas. In the northern Gulf of Mexico (nGoM), few studies have assessed flying fish distribution, and none have directly evaluated flying fish–seabird co-occurrence. Using vessel-based observations of surfacing flying fish flights, we characterized the distribution of flying fish and their co-occurrence patterns with seabirds in the nGoM. We modeled the distribution and relative density of flying fish flights using Generalized Additive Models. We then assessed co-occurrence patterns of flying fish with all seabird species seen in the area, encompassing the footprint of flying fish detections. Flying fish were detected across the U.S. Exclusive Economic Zone, with flight densities greater on the mid-continental shelf and into pelagic waters south of Louisiana, and greater flight densities were associated with regionally low chlorophyll-</span><i>a</i><span>&nbsp;and warm water. Flying fish flights were greatest in spring months through early fall months. Sooty terns (</span><i>Onychoprion fuscatus</i><span>), considered near-obligate commensals with tuna, contributed a much higher percent of the cumulative density of the seabirds co-occurring with versus without flying fish. Flying fish could be an ecological attractant for high abundances of visually conspicuous sooty terns, the presence of which may lead to the formation of ephemeral facilitated foraging events consisting of mixed-species seabird flocks.</span></p>","language":"English","publisher":"WIley","doi":"10.1111/fog.12712","usgsCitation":"Michael, P., Haney, J., Gleason, J., Hixson, K.M., Satgé, Y., and Jodice, P.G., 2025, Flying fish habitat and co-occurrence with seabirds in the northern Gulf of Mexico: Fisheries Oceanography, v. 34, no. 3, e12712, 17 p., https://doi.org/10.1111/fog.12712.","productDescription":"e12712, 17 p.","ipdsId":"IP-164517","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488208,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/fog.12712","text":"Publisher Index Page"},{"id":484497,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -96.85994338943146,\n              26.090144255345805\n            ],\n            [\n              -81.5568338264435,\n              25.37260362778406\n            ],\n            [\n              -83.1535405648454,\n              29.44002394978382\n            ],\n            [\n              -84.0173461578382,\n              29.918915067033325\n            ],\n            [\n              -85.03613314603761,\n              29.62437145316774\n            ],\n            [\n              -87.07138671351663,\n              30.373698281309842\n            ],\n            [\n              -89.69645200017544,\n              30.176082004393137\n            ],\n            [\n              -89.88260803375077,\n              29.107425410459612\n            ],\n            [\n              -93.54135120526524,\n              29.516029211382815\n            ],\n            [\n              -97.12905611377971,\n              28.12170747625406\n            ],\n            [\n              -97.3049365335269,\n              27.041943819722775\n            ],\n            [\n              -96.85994338943146,\n              26.090144255345805\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"34","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-01-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Michael, Pamela E.","contributorId":340919,"corporation":false,"usgs":false,"family":"Michael","given":"Pamela E.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":933146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haney, J. Christopher","contributorId":341154,"corporation":false,"usgs":false,"family":"Haney","given":"J. Christopher","affiliations":[{"id":81710,"text":"Terra Mar Applied Science","active":true,"usgs":false}],"preferred":false,"id":933147,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gleason, Jeffrey S.","contributorId":341153,"corporation":false,"usgs":false,"family":"Gleason","given":"Jeffrey S.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":933148,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hixson, Kathy M.","contributorId":340920,"corporation":false,"usgs":false,"family":"Hixson","given":"Kathy","email":"","middleInitial":"M.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":933149,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Satgé, Yvan G.","contributorId":340737,"corporation":false,"usgs":false,"family":"Satgé","given":"Yvan G.","affiliations":[{"id":81653,"text":"South Carolina Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":933150,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":219852,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":933151,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70263409,"text":"70263409 - 2025 - 3D viscoelastic models of slip-deﬁcit rate along the Cascadia subduction zone","interactions":[],"lastModifiedDate":"2025-02-10T15:54:57.939719","indexId":"70263409","displayToPublicDate":"2025-01-23T08:50:25","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7167,"text":"Journal of Geophysical Research: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"3D viscoelastic models of slip-deﬁcit rate along the Cascadia subduction zone","docAbstract":"Interseismic deformation in the Paciﬁc Northwest is constrained by the horizontal crustal velocity ﬁeld derived from the Global Positioning System (GPS) in addition to vertical rates derived from GPS, leveling, and tide gauge measurements. Such measurements were folded in to deformation models of fault slip rates as part of the 2023 National Seismic Hazard Model (NSHM) update. Here I build upon one of the contributing models, the viscoelastic earthquake-cycle model of Pollitz [2022]. This model permits inclusion of eﬀects of time-dependent viscoelastic relaxation within earthquake cycles (i.e., ‘ghost transients’) and laterally variable elastic and/or ductile material properties. I lever-age these capabilities to incorporate the Cascadia megathrust into Western U.S.-wide deformation models in which crustal fault slip rates are estimated simultaneously with slip deﬁcit rates along the interplate boundary between the descending Juan de Fuca plate and North American plate. This eﬀort includes construction of a margin-wide model of viscoelastic structure founded on the Slab 2.0 model and probes diﬀerent models of the ductile properties of the surrounding oceanic asthenosphere, continental lower crust, and mantle asthenosphere. This results in new estimates of the distribution of slip deﬁcit rate along the ∼ 1000 km long margin, highlights the importance of correcting for glacial-isostatic adjustment eﬀects, and permits assessment of sensitivity of results to assumed ductile properties.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JB029847","usgsCitation":"Pollitz, F., 2025, 3D viscoelastic models of slip-deﬁcit rate along the Cascadia subduction zone: Journal of Geophysical Research: Solid Earth, v. 130, no. 1, e2024JB029847, 22 p., https://doi.org/10.1029/2024JB029847.","productDescription":"e2024JB029847, 22 p.","ipdsId":"IP-168142","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":481866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -126.21988785109721,\n              48.53762428891605\n            ],\n            [\n              -126.21988785109721,\n              40.250023472885545\n            ],\n            [\n              -122.48356241942076,\n              40.250023472885545\n            ],\n            [\n              -122.48356241942076,\n              48.53762428891605\n            ],\n            [\n              -126.21988785109721,\n              48.53762428891605\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"130","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":926883,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70262871,"text":"70262871 - 2025 - Maintenance of genetic diversity despite population fluctuations in the lesser prairie-chicken (Tympanuchus pallidicinctus)","interactions":[],"lastModifiedDate":"2025-01-27T15:08:54.1809","indexId":"70262871","displayToPublicDate":"2025-01-23T08:01:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Maintenance of genetic diversity despite population fluctuations in the lesser prairie-chicken (Tympanuchus pallidicinctus)","docAbstract":"<p><span>Assessments of genetic diversity, structure, history, and effective population size (</span><i>N</i><span>&nbsp;</span><sub>e</sub><span>) are critical for the conservation of imperiled populations. The lesser prairie-chicken (</span><i>Tympanuchus pallidicinctus</i><span>) has experienced declines due to habitat loss, degradation, and fragmentation in addition to substantial population fluctuations with unknown effects on genetic diversity. Our objectives were to: (i) compare genetic diversity across three temporally discrete sampling periods (2002, 2007-2010, and 2013-2014) that are characterized by low or high population abundance; (ii) examine genetic diversity at lek and lek cluster spatial scales; (ii) identify potential bottlenecks and characterize genetic structure and relatedness; and (iii) estimate the regional&nbsp;</span><i>N</i><span>&nbsp;</span><sub>e</sub><span>. We analyzed 194 samples across the shinnery oak prairie region of eastern New Mexico and western Texas using 13 microsatellite loci. Mean heterozygosity, allelic richness, and inbreeding coefficient were not significantly different between discrete sampling periods, suggesting that this population has maintained its genetic diversity across the sampled population fluctuations. We did not detect genetic structure using multiple Bayesian clustering approaches. Furthermore, there was no support for recent genetic bottlenecks, and we estimated that the&nbsp;</span><i>N</i><span>&nbsp;</span><sub>e</sub><span>&nbsp;ranged from 229.5 (</span><i>p</i><span>&nbsp;</span><sub>crit</sub><span>&nbsp;= 0.05, 95% CIs = 121.2-1023.1) to 349.1 (</span><i>p</i><span>&nbsp;</span><sub>crit</sub><span>&nbsp;= 0.02, 95% CIs = 176.4-2895.2) during our final sampling period (2013-2014). Although we provide evidence for gene flow within this region, continued habitat loss and fragmentation that leads to population declines and isolation could increase the risk of genetic consequences. Continued monitoring of genetic diversity and increasing available habitat that supports robust populations of lesser prairie-chickens may improve the likelihood of the species' persistence.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.70879","usgsCitation":"Lawrence, A.J., Carleton, S., Oyler-McCance, S.J., DeYoung, R.W., Nichols, C.T., and Wright, T., 2025, Maintenance of genetic diversity despite population fluctuations in the lesser prairie-chicken (Tympanuchus pallidicinctus): Ecology and Evolution, v. 15, no. 1, e70879, 15 p., https://doi.org/10.1002/ece3.70879.","productDescription":"e70879, 15 p.","ipdsId":"IP-161495","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":487597,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.70879","text":"Publisher Index 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Surveys were carried out during the months of April and May in 2022 and 2023. All but two of the lakes had been surveyed previously by the U.S. Geological Survey, and the recent surveys were compared to the earlier surveys to document the changes in the bathymetric surface and capacity of the lake.</p><p>Bathymetric data were collected using a high-resolution multibeam mapping system mounted on a boat. Supplemental depth data at three of the lakes were collected in shallow areas with an acoustic Doppler current profiler on a remote-controlled boat. Data points from the various sources were exported at a gridded data resolution appropriate to each lake, either 0.82 foot, 1.64 feet, or 3.28 feet. Data outside the multibeam survey extent and greater than the surveyed water-surface elevation were obtained from data collected using aerial light detection and ranging (lidar) point cloud data. A linear enforcement technique was used to add points to the dataset in areas of sparse data (the upper ends of coves where the water was shallow or aquatic vegetation precluded data acquisition) based on surrounding multibeam and upland data values. The various point datasets were used to produce a three-dimensional triangulated irregular network surface of the lake-bottom elevations for each lake. A surface area and capacity table was produced from the three-dimensional surface for each lake showing surface area and capacity at specified lake water-surface elevations. Various quality-assurance tests were conducted to ensure quality data were collected with the multibeam, including beam angle checks and patch tests. Additional quality-assurance tests were conducted on the gridded bathymetric data from the survey, the bathymetric surface created from the gridded data, and the contours created from the bathymetric survey.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245114","collaboration":"Prepared in cooperation with the Missouri Department of Natural Resources","usgsCitation":"Rivers, B.C., Huizinga, R.J., and Waite, G.J., 2025, Bathymetric contour maps, surface area and capacity tables, and bathymetric change maps for selected water-supply lakes in Missouri, 2022–23: U.S. Geological Survey Scientific Investigations Report 2024–5114, 70 p., https://doi.org/10.3133/sir20245114.","productDescription":"Report: vii, 70 p.; 13 Plates: 24.00 x 30.00 inches or smaller; 2 Data Releases","numberOfPages":"82","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-149403","costCenters":[{"id":36532,"text":"Central Midwest Water 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 \"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/cm-water\" data-mce-href=\"https://www.usgs.gov/centers/cm-water\">Central Midwest Water Science Center</a><br>U.S. Geological Survey<br>1400 Independence Road<br>Rolla, MO 65401</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Quality Assurance for Bathymetric Surface, Contour Map, and Bathymetric Change</li><li>Bathymetry, Capacity, and Bathymetric Change </li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-01-23","noUsgsAuthors":false,"publicationDate":"2025-01-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Rivers, Benjamin C. 0000-0003-0098-0486 brivers@usgs.gov","orcid":"https://orcid.org/0000-0003-0098-0486","contributorId":289836,"corporation":false,"usgs":true,"family":"Rivers","given":"Benjamin","email":"brivers@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924122,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huizinga, Richard J. 0000-0002-2940-2324 huizinga@usgs.gov","orcid":"https://orcid.org/0000-0002-2940-2324","contributorId":2089,"corporation":false,"usgs":true,"family":"Huizinga","given":"Richard","email":"huizinga@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924123,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waite, Garett J. 0000-0002-2286-3363 gjwaite@usgs.gov","orcid":"https://orcid.org/0000-0002-2286-3363","contributorId":305469,"corporation":false,"usgs":true,"family":"Waite","given":"Garett","email":"gjwaite@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924125,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70265254,"text":"70265254 - 2025 - Winter tick sharing between ungulates in the Greater Yellowstone Ecosystem and implications for apparent competition","interactions":[],"lastModifiedDate":"2025-04-04T13:20:42.600317","indexId":"70265254","displayToPublicDate":"2025-01-22T15:34:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Winter tick sharing between ungulates in the Greater Yellowstone Ecosystem and implications for apparent competition","docAbstract":"<p><span>Host species heterogeneity can drive parasite dynamics through variation in host competency as well as host abundance. We explored how elk (</span><i>Cervus canadensis</i><span>) with apparent subclinical infestations of winter tick (</span><i>Dermacentor albipictus</i><span>) may be a cryptic reservoir and drive winter tick dynamics, impacting moose (</span><i>Alces alces</i><span>) populations. We found that winter tick infestation loads did not vary remarkably between both host species and winter ticks sourced from elk and moose produced similar numbers of larvae which activated within 5 days of each other. We also found similar larval densities in habitats predominately used by elk, moose, and both host species. Our analysis of 2793 informative single-nucleotide polymorphisms showed genetic differentiation among tick populations that were only ~75 km apart, but fewer differences among ticks from elk or moose in the same locality, suggesting sharing of winter ticks across host species. Despite the clinical signs of high winter tick infestations being most apparent on moose, elk may be critical drivers of winter tick population dynamics and indirectly compete with moose in areas where they outnumber moose populations, a common characteristic of ungulate communities in western North America. Management interventions aimed at addressing winter tick issues on moose may wish to consider the movement patterns and abundance of cryptic reservoirs like elk.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70129","usgsCitation":"Koser, T., Martin, A., , C., Thompson, L., Wise, B., Fralick, G., Dewey, S., Girard, A., Scurlock, B., Rogerson, J.D., Oyen, K., and Cross, P., 2025, Winter tick sharing between ungulates in the Greater Yellowstone Ecosystem and implications for apparent competition: Ecosphere, v. 16, no. 1, e70129, 14 p., https://doi.org/10.1002/ecs2.70129.","productDescription":"e70129, 14 p.","ipdsId":"IP-166462","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":488606,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70129","text":"Publisher Index Page"},{"id":484180,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","city":"Jackson","otherGeospatial":"Bridger-Teton National Forest, Grand Teton National Park, Greater Yellowstone Ecosystem","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.04010120094453,\n              44.207967341120906\n            ],\n            [\n              -111.04010120094453,\n              42.8259826862342\n            ],\n            [\n              -109.44814142966831,\n              42.8259826862342\n            ],\n            [\n              -109.44814142966831,\n              44.207967341120906\n            ],\n            [\n              -111.04010120094453,\n              44.207967341120906\n            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Much of the shoreline of Lake Superior in Minnesota and Michigan is composed of hydrogeologic units contributing very little direct groundwater discharge to the lake. Groundwater in watersheds adjacent to the lake typically flows in short, local flow systems characterized by thin glacial sediments with active groundwater flow in fractured bedrock within the top 60–90&nbsp;m below land surface. The complex groundwater system in Wisconsin’s Bayfield Peninsula has the largest groundwater reservoir near the lake, characterized by thick sand and gravel glacial deposits and underlying sandstone aquifer. Although these thick sandy glacial deposits are not in direct contact with the lake at the shoreline, groundwater discharge may still be significant via subsurface exposures beyond the shoreline or flow through the underlying sandstone aquifer. Overall, most groundwater in the watershed is contributed as indirect base flow in streams around the lakeshore and comprises about 60 percent of the upland water budget. Direct groundwater flow to the shoreline contributes 2 to 9 percent of the inflow. Identifying possible contamination sources through direct sampling of groundwater would be an inefficient way to detect problems if sources are unknown, particularly for some chemicals of concern such as PFAS, pesticides, PCBs, chloride, and nutrients. Evaluating the chemical characteristics of contamination is also important to consider in evaluating how groundwater may contribute to pollution in Lake Superior.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102402","usgsCitation":"Nielsen, M.G., and Martin, S., 2025, Using hydrogeologic context and water budgets to evaluate the potential for groundwater contributions to contaminants in Lake Superior: Journal of Great Lakes Research, v. 51, no. 1, 102402, 14 p., https://doi.org/10.1016/j.jglr.2024.102402.","productDescription":"102402, 14 p.","ipdsId":"IP-163245","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":489908,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2024.102402","text":"Publisher Index 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,{"id":70274783,"text":"70274783 - 2025 - Lake Superior fish community and fisheries, 2001–2022: An era of stability","interactions":[],"lastModifiedDate":"2026-04-09T15:48:14.095481","indexId":"70274783","displayToPublicDate":"2025-01-22T10:42:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Lake Superior fish community and fisheries, 2001–2022: An era of stability","docAbstract":"<p><span>Lake Superior&nbsp;is the least anthropogenically impacted of the Laurentian Great&nbsp;Lakes ecosystems, yet dramatic changes to the fish community are evident. Previous published works chronicled those changes and the efforts to rehabilitate the fish community through the year 2000. Here, we review through the year 2022, where post-rehabilitation stability was driven by lean lake trout (</span><span><i>Salvelinus namaycush</i><i>&nbsp;namaycush)</i></span><span>&nbsp;as the most abundant&nbsp;piscivore&nbsp;in&nbsp;nearshore waters, siscowet lake trout (</span><i>Salvelinus namaycush siscowet)</i><span>&nbsp;as the most abundant&nbsp;piscivore&nbsp;in offshore waters, and a healthy, intact assemblage of native prey species, which created ecological redundancies and helped stabilize the food web. Stocking of non-native salmonines was reduced 74%, and populations of&nbsp;Chinook salmon&nbsp;(</span><i>Oncorhynchus tshawytscha)</i><span>&nbsp;and&nbsp;coho salmon&nbsp;(</span><i>Oncorhynchus kisutch)</i><span>&nbsp;were maintained through natural reproduction. Despite reduced stocking, yield from recreational fisheries was stable. Likewise, developments in population modeling led to evaluations and refinement of management strategies that helped create stability for lake trout,&nbsp;lake whitefish&nbsp;(</span><span><i>Coregonus</i><i>&nbsp;clupeaformis</i></span><span>), and cisco (</span><i>Coregonus artedi</i><span>) fisheries. With lake trout rehabilitation achieved, focus shifted toward rehabilitation of native&nbsp;brook trout&nbsp;(</span><i>Salvelinus fontinalis</i><span>), lake sturgeon (</span><span><i>Acipenser fulvescens</i></span><span>), and walleye (</span><span><i>Sander vitreus</i></span><span>). Despite continued control efforts,&nbsp;sea lamprey&nbsp;(</span><i>Petromyzon marinus</i><span>) abundance increased considerably, and estimates of fish killed by lampreys averaged 2.65 million kg annually. Environmental changes have benefited sea lampreys and fostered thermal habitats more suitable to non-native organisms, posing new challenges for managers and researchers. Nevertheless, the post-rehabilitation stability in the contemporary fish community will help provide resilience to future perturbations in the ecosystem.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102414","usgsCitation":"Goldsworthy, C.A., Carl, D.D., Sitar, S.P., Seider, M.J., Vinson, M.R., Harding, I.C., Pratt, T.C., Piszczek, P.P., Berglund, E.K., Michaels, S.B., and Barber, J.M., 2025, Lake Superior fish community and fisheries, 2001–2022: An era of stability: Journal of Great Lakes Research, v. 51, no. 1, 102414, 22 p., https://doi.org/10.1016/j.jglr.2024.102414.","productDescription":"102414, 22 p.","ipdsId":"IP-166232","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":502499,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2024.102414","text":"Publisher Index 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           ],\n            [\n              -84.320068359375,\n              46.50973514453876\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"51","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Goldsworthy, Cory A. 0000-0003-0920-2840","orcid":"https://orcid.org/0000-0003-0920-2840","contributorId":369558,"corporation":false,"usgs":false,"family":"Goldsworthy","given":"Cory","middleInitial":"A.","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":959128,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carl, Dray D.","contributorId":369559,"corporation":false,"usgs":false,"family":"Carl","given":"Dray","middleInitial":"D.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":959129,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sitar, Shawn P. 0000-0002-8868-3277","orcid":"https://orcid.org/0000-0002-8868-3277","contributorId":369560,"corporation":false,"usgs":false,"family":"Sitar","given":"Shawn","middleInitial":"P.","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":959130,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seider, Michael J. 0000-0002-6500-4710","orcid":"https://orcid.org/0000-0002-6500-4710","contributorId":366088,"corporation":false,"usgs":false,"family":"Seider","given":"Michael","middleInitial":"J.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":959131,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vinson, Mark R. 0000-0001-5256-9539 mvinson@usgs.gov","orcid":"https://orcid.org/0000-0001-5256-9539","contributorId":3800,"corporation":false,"usgs":true,"family":"Vinson","given":"Mark","email":"mvinson@usgs.gov","middleInitial":"R.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":959132,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harding, Ian C.","contributorId":369561,"corporation":false,"usgs":false,"family":"Harding","given":"Ian","middleInitial":"C.","affiliations":[{"id":48137,"text":"Red Cliff Band of Lake Superior Chippewa","active":true,"usgs":false}],"preferred":false,"id":959133,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pratt, Thomas C. 0009-0003-3648-2144","orcid":"https://orcid.org/0009-0003-3648-2144","contributorId":368989,"corporation":false,"usgs":false,"family":"Pratt","given":"Thomas","middleInitial":"C.","affiliations":[{"id":13015,"text":"Department of Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":959134,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Piszczek, Paul P.","contributorId":369562,"corporation":false,"usgs":false,"family":"Piszczek","given":"Paul","middleInitial":"P.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":959135,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Berglund, Eric K. 0009-0009-7234-1051","orcid":"https://orcid.org/0009-0009-7234-1051","contributorId":369563,"corporation":false,"usgs":false,"family":"Berglund","given":"Eric","middleInitial":"K.","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":959136,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Michaels, Samuel B.","contributorId":369564,"corporation":false,"usgs":false,"family":"Michaels","given":"Samuel","middleInitial":"B.","affiliations":[{"id":87848,"text":"Great Lakes Indian Fish & Wildlife Commission","active":true,"usgs":false}],"preferred":false,"id":959137,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Barber, Jessica M.","contributorId":369565,"corporation":false,"usgs":false,"family":"Barber","given":"Jessica","middleInitial":"M.","affiliations":[{"id":40296,"text":"United States Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":959138,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70264806,"text":"70264806 - 2025 - Effects of river floods and sedimentation on a naturally dynamic Great Lakes estuary","interactions":[],"lastModifiedDate":"2025-03-25T15:05:21.017701","indexId":"70264806","displayToPublicDate":"2025-01-22T09:58:57","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Effects of river floods and sedimentation on a naturally dynamic Great Lakes estuary","docAbstract":"<p><span>Some of the most biologically diverse coastal wetlands and estuaries are found along the Great Lakes, but the spatial extent and timing of river-related inundation and sedimentation vary greatly among natural and altered systems. We used hydrologic data, geomorphic change detection, and satellite imagery to study inundation and sedimentation patterns in the naturally dynamic estuary of the Bad River (</span><i>Mashkiiziibii</i><span>) that flows into Lake Superior (</span><i>Anishinaabeg-gichigami</i><span>), and the Kakagon River (</span><i>Ogaakaagaang-ziibii</i><span>) that flows into a sheltered bay (</span><i>Chi-Kaamigong</i><span>). In 2016, an extreme summer flood (annual exceedance probability&nbsp;&lt;&nbsp;0.2&nbsp;%) caused total inundation of the 46-km</span><sup>2</sup><span>&nbsp;estuary. Floods from the sediment-rich Bad River, with an annual exceedance probability of&nbsp;≤&nbsp;50&nbsp;%, have overflowed into the upper wetlands and channels of the Kakagon River about 60 times over the last 75&nbsp;years, including 20 floods during the most recent 10-year wet period. Sedimentation patterns were associated with proximity to river channels, shoreline erosion, and wind action. Early winter ice-up coupled with a storm surge and an early spring snowmelt into the iced-over bay changed inundation duration and sedimentation patterns. Climate-change projections for more intense rainfall and warmer temperatures will likely cause more frequent flooding and sedimentation; however, patterns may differ depending on the timing of the floods relative to storm surges and ice formation, or other factors. The approach of integrating readily available data helped give a broader temporal and spatial context to the possible causes for inundation and sedimentation, some expected and others not, in natural and restored estuaries of the Great Lakes.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102458","usgsCitation":"Fitzpatrick, F., Vaughan, A., Dantoin, E.D., Sterner, S.P., Reneau, P., and Roland, C., 2025, Effects of river floods and sedimentation on a naturally dynamic Great Lakes estuary: Journal of Great Lakes Research, v. 51, no. 1, 102458, 19 p., https://doi.org/10.1016/j.jglr.2024.102458.","productDescription":"102458, 19 p.","ipdsId":"IP-163441","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":488275,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2024.102458","text":"Publisher Index Page"},{"id":483809,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Bad River, Chequamegon Bay, Lake Superior","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -90.86741881591443,\n              46.74517791310441\n            ],\n            [\n              -90.86741881591443,\n              46.59429411429369\n            ],\n            [\n              -90.55858891028036,\n              46.59429411429369\n            ],\n            [\n              -90.55858891028036,\n              46.74517791310441\n            ],\n            [\n              -90.86741881591443,\n              46.74517791310441\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"51","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fitzpatrick, Faith 0000-0002-9748-7075","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":209191,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931769,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vaughan, Angus 0000-0001-9900-4658","orcid":"https://orcid.org/0000-0001-9900-4658","contributorId":302333,"corporation":false,"usgs":true,"family":"Vaughan","given":"Angus","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":931770,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dantoin, Eric D. 0000-0002-8561-2924 edantoin@usgs.gov","orcid":"https://orcid.org/0000-0002-8561-2924","contributorId":2278,"corporation":false,"usgs":true,"family":"Dantoin","given":"Eric","email":"edantoin@usgs.gov","middleInitial":"D.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931771,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sterner, Shelby P. 0000-0002-3103-7960","orcid":"https://orcid.org/0000-0002-3103-7960","contributorId":292246,"corporation":false,"usgs":true,"family":"Sterner","given":"Shelby","email":"","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931772,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reneau, Paul 0000-0002-1335-7573","orcid":"https://orcid.org/0000-0002-1335-7573","contributorId":217293,"corporation":false,"usgs":true,"family":"Reneau","given":"Paul","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931773,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roland, Collin 0000-0003-1004-0746","orcid":"https://orcid.org/0000-0003-1004-0746","contributorId":343660,"corporation":false,"usgs":true,"family":"Roland","given":"Collin","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931774,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70266326,"text":"70266326 - 2025 - Dominant Dolichospermum and microcystin production in Detroit Lake (Oregon, USA)","interactions":[],"lastModifiedDate":"2025-05-02T15:01:52.854811","indexId":"70266326","displayToPublicDate":"2025-01-22T09:56:35","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1878,"text":"Harmful Algae","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Dominant <i>Dolichospermum</i> and microcystin production in Detroit Lake (Oregon, USA)","title":"Dominant Dolichospermum and microcystin production in Detroit Lake (Oregon, USA)","docAbstract":"<p><span>The excessive growth of harmful cyanobacteria, including&nbsp;</span><i>Dolichospermum</i><span>&nbsp;(formerly known as&nbsp;</span><i>Anabaena</i><span>), in freshwater bodies has become a pressing global concern. However, detailed information about the role of&nbsp;</span><i>Dolichospermum</i><span>&nbsp;in shaping bloom dynamics and producing cyanotoxins is limited. In this study, a bloom event dominated by&nbsp;</span><i>Dolichospermum</i><span>&nbsp;spp. at Detroit Lake (Oregon, USA) was examined from 2019 to 2021. In 2019, early summer cyanobacterial community succession reached up to 8.7 % of total phytoplankton abundance.&nbsp;</span><i>Dolichospermum</i><span>&nbsp;was the major microcystin (MC)-producing genus, with peak MC levels of 7.34 μg&nbsp;</span><i>L</i><sup>−1</sup><span>. The presence of MCs was strongly correlated with the abundance of&nbsp;</span><i>Dolichospermum</i><span>&nbsp;(</span><i>r</i><span>&nbsp;= 0.84,&nbsp;</span><i>p</i><span>&nbsp;&lt; 0.05) and MC synthetase gene,&nbsp;</span><i>mcyE-Ana</i><span>&nbsp;(</span><i>r</i><span>&nbsp;= 0.63,&nbsp;</span><i>p</i><span>&nbsp;&lt; 0.05). Metabolic analyses further showed that the presence of&nbsp;</span><i>nif</i><span>/</span><i>pst</i><span>&nbsp;genes linked to nitrogen and phosphorus metabolism was dominated by&nbsp;</span><i>Dolichospermum</i><span>&nbsp;from the bloom onset until September. In addition, the abundance of&nbsp;</span><i>Dolichospermum</i><span>&nbsp;was significantly correlated with the abundance of nitrogen-fixing&nbsp;</span><i>nif-Ana</i><span>&nbsp;gene (</span><i>r</i><span>&nbsp;= 0.62,&nbsp;</span><i>p</i><span>&nbsp;&lt; 0.05). As the lake experienced a longer N and P scarcity period (May to September), the N</span><sub>2</sub><span>-fixing&nbsp;</span><i>Dolichospermum</i><span>&nbsp;was able to dominate over other non-fixing cyanobacteria present, including&nbsp;</span><i>Microcystis</i><span>&nbsp;and&nbsp;</span><i>Planktothrix</i><span>. Overall, our results facilitate a better understanding of the organism and will help working toward managing/predicting future blooms.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.hal.2025.102802","usgsCitation":"Jeon, Y., Ian Struewing, Kale Clausen, Nathan Reetz, Ned Fairchild, Lacey Goeres-Priest, Theo Dreher, Rochelle Labiosa, Carpenter, K.D., Barry Rosen, Eric Villegas, and Jingrang Lu, 2025, Dominant Dolichospermum and microcystin production in Detroit Lake (Oregon, USA): Harmful Algae, v. 142, 102802, 10 p., https://doi.org/10.1016/j.hal.2025.102802.","productDescription":"102802, 10 p.","ipdsId":"IP-166680","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":499603,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11864590/","text":"External Repository"},{"id":485327,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Detroit Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.11158768390071,\n              44.7533324620162\n            ],\n            [\n              -122.27304079384393,\n              44.7533324620162\n            ],\n            [\n              -122.27304079384393,\n              44.66885073197324\n            ],\n            [\n              -122.11158768390071,\n              44.66885073197324\n            ],\n            [\n              -122.11158768390071,\n              44.7533324620162\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"142","noUsgsAuthors":false,"publicationDate":"2025-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Jeon, Youchul","contributorId":354420,"corporation":false,"usgs":false,"family":"Jeon","given":"Youchul","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":935616,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ian Struewing","contributorId":354421,"corporation":false,"usgs":false,"family":"Ian Struewing","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":935617,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kale Clausen","contributorId":354422,"corporation":false,"usgs":false,"family":"Kale Clausen","affiliations":[{"id":84630,"text":"Oregon DEQ","active":true,"usgs":false}],"preferred":false,"id":935618,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nathan Reetz","contributorId":354423,"corporation":false,"usgs":false,"family":"Nathan Reetz","affiliations":[{"id":84630,"text":"Oregon DEQ","active":true,"usgs":false}],"preferred":false,"id":935619,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ned Fairchild","contributorId":354424,"corporation":false,"usgs":false,"family":"Ned Fairchild","affiliations":[{"id":84630,"text":"Oregon DEQ","active":true,"usgs":false}],"preferred":false,"id":935620,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lacey Goeres-Priest","contributorId":354425,"corporation":false,"usgs":false,"family":"Lacey Goeres-Priest","affiliations":[{"id":84631,"text":"City of Salem","active":true,"usgs":false}],"preferred":false,"id":935621,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Theo Dreher","contributorId":354426,"corporation":false,"usgs":false,"family":"Theo Dreher","affiliations":[{"id":84632,"text":"OSU (retired)","active":true,"usgs":false}],"preferred":false,"id":935622,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rochelle Labiosa","contributorId":354427,"corporation":false,"usgs":false,"family":"Rochelle Labiosa","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":935623,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Carpenter, Kurt D. 0000-0002-6231-8335 kdcar@usgs.gov","orcid":"https://orcid.org/0000-0002-6231-8335","contributorId":127442,"corporation":false,"usgs":true,"family":"Carpenter","given":"Kurt","email":"kdcar@usgs.gov","middleInitial":"D.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":935624,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Barry Rosen","contributorId":354428,"corporation":false,"usgs":false,"family":"Barry Rosen","affiliations":[{"id":84633,"text":"FGCU","active":true,"usgs":false}],"preferred":false,"id":935625,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Eric Villegas","contributorId":354429,"corporation":false,"usgs":false,"family":"Eric Villegas","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":935626,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jingrang Lu","contributorId":354430,"corporation":false,"usgs":false,"family":"Jingrang Lu","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":935627,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70268258,"text":"70268258 - 2025 - Metabolic interactions underpinning high methane fluxes across terrestrial freshwater wetlands","interactions":[],"lastModifiedDate":"2025-06-18T14:49:21.713746","indexId":"70268258","displayToPublicDate":"2025-01-22T09:42:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Metabolic interactions underpinning high methane fluxes across terrestrial freshwater wetlands","docAbstract":"<p><span>Current estimates of wetland contributions to the global methane budget carry high uncertainty, particularly in accurately predicting emissions from high methane-emitting wetlands. Microorganisms drive methane cycling, but little is known about their conservation across wetlands. To address this, we integrate 16S rRNA amplicon datasets, metagenomes, metatranscriptomes, and annual methane flux data across 9 wetlands, creating the Multi-Omics for Understanding Climate Change (MUCC) v2.0.0 database. This resource is used to link microbiome composition to function and methane emissions, focusing on methane-cycling microbes and the networks driving carbon decomposition. We identify eight methane-cycling genera shared across wetlands and show wetland-specific metabolic interactions in marshes, revealing low connections between methanogens and methanotrophs in high-emitting wetlands.&nbsp;</span><i>Methanoregula</i><span>&nbsp;emerged as a hub methanogen across networks and is a strong predictor of methane flux. In these wetlands it also displays&nbsp;the functional potential for methylotrophic methanogenesis, highlighting the importance of this pathway in these ecosystems. Collectively, our findings illuminate trends between microbial decomposition networks and methane flux while providing an extensive publicly available database to advance future wetland research.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41467-025-56133-0","usgsCitation":"Bechtold, E., Ellenbogen, J., Villa, J.A., de Melo Ferreira, D., Oliverio, A., Kostka, J., Rich, V.I., Varner, R.K., Bansal, S., Ward, E.J., Bohrer, G., Borton, M., Wrighton, K.C., and Wilkins, M., 2025, Metabolic interactions underpinning high methane fluxes across terrestrial freshwater wetlands: Nature Communications, v. 16, 944, 15 p., https://doi.org/10.1038/s41467-025-56133-0.","productDescription":"944, 15 p.","ipdsId":"IP-166828","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":491016,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-025-56133-0","text":"Publisher Index Page"},{"id":490909,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","noUsgsAuthors":false,"publicationDate":"2025-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Bechtold, Emily","contributorId":357031,"corporation":false,"usgs":false,"family":"Bechtold","given":"Emily","affiliations":[],"preferred":false,"id":940617,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellenbogen, Jared B.","contributorId":357034,"corporation":false,"usgs":false,"family":"Ellenbogen","given":"Jared B.","affiliations":[],"preferred":false,"id":940618,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Villa, Jorge A.","contributorId":343780,"corporation":false,"usgs":false,"family":"Villa","given":"Jorge","email":"","middleInitial":"A.","affiliations":[{"id":7155,"text":"University of Louisiana at Lafayette","active":true,"usgs":false}],"preferred":false,"id":940619,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"de Melo Ferreira, Djennyfer K.","contributorId":357037,"corporation":false,"usgs":false,"family":"de Melo Ferreira","given":"Djennyfer K.","affiliations":[],"preferred":false,"id":940620,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oliverio, Angela M.","contributorId":357040,"corporation":false,"usgs":false,"family":"Oliverio","given":"Angela M.","affiliations":[],"preferred":false,"id":940621,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kostka, Joel E.","contributorId":357043,"corporation":false,"usgs":false,"family":"Kostka","given":"Joel E.","affiliations":[],"preferred":false,"id":940622,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rich, Virginia I.","contributorId":346827,"corporation":false,"usgs":false,"family":"Rich","given":"Virginia","email":"","middleInitial":"I.","affiliations":[{"id":18950,"text":"Department of Microbiology, The Ohio State University, Columbus, OH 43210, USA","active":true,"usgs":false}],"preferred":false,"id":940623,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Varner, Ruth K.","contributorId":346749,"corporation":false,"usgs":false,"family":"Varner","given":"Ruth","email":"","middleInitial":"K.","affiliations":[{"id":12667,"text":"University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":940624,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"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":940625,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ward, Eric J.","contributorId":337357,"corporation":false,"usgs":false,"family":"Ward","given":"Eric","email":"","middleInitial":"J.","affiliations":[{"id":61805,"text":"Northwest Fisheries Science Center","active":true,"usgs":false}],"preferred":false,"id":940626,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bohrer, Gil 0000-0002-9209-9540","orcid":"https://orcid.org/0000-0002-9209-9540","contributorId":217401,"corporation":false,"usgs":false,"family":"Bohrer","given":"Gil","email":"","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":940627,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Borton, Mikayla A.","contributorId":357046,"corporation":false,"usgs":false,"family":"Borton","given":"Mikayla A.","affiliations":[],"preferred":false,"id":940628,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wrighton, Kelly C.","contributorId":152635,"corporation":false,"usgs":false,"family":"Wrighton","given":"Kelly","email":"","middleInitial":"C.","affiliations":[{"id":18950,"text":"Department of Microbiology, The Ohio State University, Columbus, OH 43210, USA","active":true,"usgs":false}],"preferred":false,"id":940629,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wilkins, Michael J.","contributorId":357049,"corporation":false,"usgs":false,"family":"Wilkins","given":"Michael J.","affiliations":[],"preferred":false,"id":940630,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70263436,"text":"70263436 - 2025 - Food web structure of the Lake Superior fish community in 2021–2022","interactions":[],"lastModifiedDate":"2025-02-11T14:55:11.830271","indexId":"70263436","displayToPublicDate":"2025-01-22T08:51:25","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Food web structure of the Lake Superior fish community in 2021–2022","docAbstract":"<p><span>The trophic linkages and ecological requirements of the Lake Superior fish community have not been assessed on a whole lake scale in over a decade. Here, we investigated the trophic dynamics across multiple species and habitat zones of Lake Superior. From April to October of 2021 and 2022, a total of five piscivore, four planktivore, and six benthivore species were collected by region and length class during bottom-trawl, standard gillnet, commercial cisco gillnet, and recreational angler surveys. To assess trophic linkages, stomach contents were measured to estimate biomass consumed and a multivariate analysis was used to assess diet composition by species, length, and region. We found a high degree of interconnectedness in the Lake Superior food web, with&nbsp;</span><i>Mysis</i><span>&nbsp;as a critical diet item for most fishes. Native piscivore diets varied by region and with ontogeny. Lake charr were important habitat couplers in the lake, exhibiting a diverse diet and opportunistic foraging strategy. Conversely, Pacific salmon were more restricted in their foraging. Planktivores and benthivores primarily consumed&nbsp;</span><i>Mysis</i><span>, with less reliance on&nbsp;</span><i>Diporeia</i><span>&nbsp;compared to previous studies. Lake whitefish and cisco were the exception to this pattern, with broader bathymetric depth distributions represented in their diets. We found the food web to be supported by a predominantly native species assemblage, with redundancies at all trophic levels.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102486","usgsCitation":"Edwards, A., Sitar, S.P., Moerke, A., Doubek, J., Yule, D.L., Carl, D.D., Goldsworthy, C., Harding, I., Michaels, S., Berglund, E.K., Moore, S., and Gerig, B.S., 2025, Food web structure of the Lake Superior fish community in 2021–2022: Journal of Great Lakes Research, v. 51, no. 1, 102486, 16 p., https://doi.org/10.1016/j.jglr.2024.102486.","productDescription":"102486, 16 p.","ipdsId":"IP-161962","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":481923,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Superior","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n     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P.","contributorId":350781,"corporation":false,"usgs":false,"family":"Doubek","given":"Jonathon P.","affiliations":[{"id":35243,"text":"Lake Superior State University","active":true,"usgs":false}],"preferred":false,"id":926982,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yule, Daniel L. 0000-0002-0117-5115","orcid":"https://orcid.org/0000-0002-0117-5115","contributorId":248693,"corporation":false,"usgs":true,"family":"Yule","given":"Daniel","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":926983,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carl, Dray D.","contributorId":345465,"corporation":false,"usgs":false,"family":"Carl","given":"Dray","email":"","middleInitial":"D.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural 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Ben","contributorId":350787,"corporation":false,"usgs":false,"family":"Michaels","given":"S. Ben","affiliations":[{"id":16233,"text":"Great Lakes Indian Fish and Wildlife Commission","active":true,"usgs":false}],"preferred":false,"id":926987,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Berglund, Eric K.","contributorId":115926,"corporation":false,"usgs":false,"family":"Berglund","given":"Eric","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":926988,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Moore, Seth A.","contributorId":342067,"corporation":false,"usgs":false,"family":"Moore","given":"Seth A.","affiliations":[{"id":81835,"text":"Grand Portage Band of Lake Superior Chippewa","active":true,"usgs":false}],"preferred":false,"id":926989,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Gerig, Brandon S.","contributorId":140062,"corporation":false,"usgs":false,"family":"Gerig","given":"Brandon","email":"","middleInitial":"S.","affiliations":[{"id":13372,"text":"Uni. 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,{"id":70262712,"text":"ofr20241073 - 2025 - Assessing the Feasibility of Reintroducing San Francisco Gartersnakes (<i>Thamnophis sirtalis tetrataenia</i>) to La Honda Creek Open Space Preserve, San Mateo County, California","interactions":[],"lastModifiedDate":"2025-01-23T14:52:43.387205","indexId":"ofr20241073","displayToPublicDate":"2025-01-22T08:50:25","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1073","displayTitle":"Assessing the feasibility of reintroducing San Francisco gartersnakes (<i>Thamnophis sirtalis tetrataenia</i>) to La Honda Creek Open Space Preserve, San Mateo County, California","title":"Assessing the Feasibility of Reintroducing San Francisco Gartersnakes (<i>Thamnophis sirtalis tetrataenia</i>) to La Honda Creek Open Space Preserve, San Mateo County, California","docAbstract":"<div class=\"user-content-block\"><p>Reintroductions are used worldwide to increase the viability of species and restore native ecological communities. The success of reintroductions is usually judged by the establishment of self-sustaining populations, restoration of naturally occurring ecological communities, and the species resuming its ecological function. Recovery for the endangered San Francisco gartersnake (SFGS, <i>Thamnophis sirtalis tetrataenia</i>), a subspecies with a small range in San Mateo and Santa Cruz counties in California, will likely require reintroduction and establishment of new populations within its historical range. La Honda Creek Open Space Preserve (LHC), managed by the Midpeninsula Regional Open Space District (MROSD), is one potential site for the reintroduction of SFGS. The La Honda Creek Open Space Preserve is a preserve managed for wildlife, recreation, grazing, and agriculture located near extant populations of SFGS inhabiting other open space preserves managed by MROSD (Cloverdale Ranch Open Space Preserve [CR]; Russian Ridge Open Space Preserve [RR]). We compared the habitat and prey communities at LHC to nearby open space preserves that support extant SFGS populations. Based on pond surveys done annually since 2008, the occurrence of California red-legged frogs (<i>Rana draytonii</i>), Sierran chorus frogs (<i>Pseudacris sierra</i>), and Pacific newts (<i>Taricha</i>&nbsp;spp.) at LHC indicates a similar prey community at this preserve to those at CR and RR. Likewise, the landscape at LHC is a similar mosaic of wetlands, open grassland, shrub-dominated scrub, and coast redwood (<i>Sequoia sempervirens</i>) and Douglas fir (<i>Pseudotsuga menziesii</i>) forest that meets the habitat requirements for the life history of SFGS at CR and RR. One difference between LHC and preserves with SFGS populations is the lack of vegetative cover immediately adjacent to some wetlands at LHC, which could affect the ability of SFGS to disperse from wetlands and find terrestrial refuges. To evaluate alternative reintroduction strategies, we simulated population viability for a fixed number of SFGS released at LHC into one to six subpopulations (where each wetland represents a subpopulation) over a period from 5 to 20 years. Population simulations indicated that the highest average viability (in other words, the lowest probability of quasi-extinction) occurred when all SFGS were released into a single subpopulation and releases continued annually for 15 to 20 years. Our results indicate that LHC is a good candidate for reintroducing SFGS with suitable habitat, climate, and prey for this snake subspecies. Supporting SFGS populations at LHC could require habitat management to provide sufficient vegetative cover in the terrestrial environment near wetlands. Maintaining genetic diversity in the reintroduced population will also be paramount to ensure negative effects of inbreeding and homozygosity do not affect population viability.</p></div>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241073","collaboration":"Midpeninsula Regional Open Space District","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Rose, J.P., Schoenig, E.J., Kim, R., Nguyen, A.M., and Halstead, B.J., 2025, Assessing the feasibility of reintroducing San Francisco gartersnakes (<i>Thamnophis sirtalis tetrataenia</i>) to La Honda Creek Open Space Preserve, San Mateo County, California: U.S. Geological Survey Open-File Report 2024–1073, 25 p., https://doi.org/10.3133/ofr20241073.","productDescription":"viii, 25 p.","numberOfPages":"25","onlineOnly":"Y","ipdsId":"IP-166881","costCenters":[{"id":651,"text":"Western Ecological Research 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\"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122,\n              37.25\n            ],\n            [\n              -122.25,\n              37.25\n            ],\n            [\n              -122.25,\n              37\n            ],\n            [\n              -122,\n              37\n            ],\n            [\n              -122,\n              37.25\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/werc\" data-mce-href=\"https://www.usgs.gov/centers/werc\">Western Ecological Research Center</a><br><a href=\"https://usgs.gov/\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>3020 State University Drive East<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Acknowledgements</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Conclusions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2025-01-22","noUsgsAuthors":false,"publicationDate":"2025-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Rose, Jonathan P. 0000-0003-0874-9166 jprose@usgs.gov","orcid":"https://orcid.org/0000-0003-0874-9166","contributorId":199339,"corporation":false,"usgs":true,"family":"Rose","given":"Jonathan","email":"jprose@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":924679,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoenig, Elliot James 0000-0002-7217-315X eschoenig@usgs.gov","orcid":"https://orcid.org/0000-0002-7217-315X","contributorId":291497,"corporation":false,"usgs":true,"family":"Schoenig","given":"Elliot","email":"eschoenig@usgs.gov","middleInitial":"James","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":924680,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kim, Richard 0000-0001-5891-0582 rkim@usgs.gov","orcid":"https://orcid.org/0000-0001-5891-0582","contributorId":204478,"corporation":false,"usgs":true,"family":"Kim","given":"Richard","email":"rkim@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":924681,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nguyen, Allison M. 0000-0003-4408-5934 amnguyen@usgs.gov","orcid":"https://orcid.org/0000-0003-4408-5934","contributorId":302759,"corporation":false,"usgs":false,"family":"Nguyen","given":"Allison","email":"amnguyen@usgs.gov","middleInitial":"M.","affiliations":[{"id":65544,"text":"USGS, WERC, Dixon","active":true,"usgs":false}],"preferred":false,"id":924682,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":924683,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70262877,"text":"70262877 - 2025 - The relative influence of geographic and environmental factors on rare plant translocation outcomes","interactions":[],"lastModifiedDate":"2025-03-11T15:21:38.484337","indexId":"70262877","displayToPublicDate":"2025-01-22T08:20:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The relative influence of geographic and environmental factors on rare plant translocation outcomes","docAbstract":"<ol class=\"\"><li>Conservation translocations are an established method for reducing the extinction risk of plant species through intentional movement within or outside the indigenous range. Unsuitable environmental conditions at translocation recipient sites and a lack of understanding of species–environment relationships are often identified as critical barriers to translocation success. However, previous syntheses have drawn these inferences from analyses of qualitative feedback rather than quantitative environmental data.</li><li>In this study, we use a data set of 235 translocations conducted in the US to understand the influences of geographic and environmental factors on three metrics of translocation success: population persistence, next-generation recruitment and next-generation maturity. We use random forest models to quantify the relative importance of geographic and environmental factors that characterize dissimilarity between source and recipient locations, the position of recipient sites relative to species' ranges and niche metrics derived from these ranges. We also compare the importance of these variables with more conventional predictors (e.g. founder population size).</li><li>Our results indicate that geographic and environmental variables can be as insightful as conventional variables for predicting plant translocation outcomes. The climate suitability of recipient sites, estimated using species distribution models, was the strongest relative predictor of whether a population persisted, with populations situated in more suitable climates displaying greater persistence. Next-generation recruitment and maturity were best predicted by niche metrics; species in more biotically limiting environments, including tropical regions and soils with high relative nutrient retention, as well as species with the broadest precipitation niches, were the least likely to attain these next-generation benchmarks.</li><li><i>Synthesis and applications</i>. Our study is one of the first to quantify the important role of spatial and climatic factors in rare plant translocation outcomes. We provide a novel geographic and environmental perspective on outcomes in plant translocations and demonstrate opportunities to improve translocation success not only by adhering to established best practice guidelines but also by integrating spatial modelling approaches into planning and management processes.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.14855","usgsCitation":"Bellis, J., Albrecht, M.A., Maschinski, J., Dalrymple, S., Keir, M.J., Chambers, T., Possley, J., Adkins, E.D., Parsons, E.W., Kunz, M., Radcliffe, C., Coffey, E., Kaye, T., Peterson, C.L., Aaron, D., Herron, S., Menges, E., Bell, T.J., Coppoletta, M., Elam, C., Kathryn, M.A., Williamson, P., Boensch, D., Bontrager, M., Cooper, B., Frade, N., Gordon, D.R., Link, S.O., Littlefield, T., Murray, S., O’Dell, R., Pavlovic, N.B., Reemts, C.M., Taylor, D.D., Titus, J.H., Titus, P.J., Stanley, T., and Heineman, K., 2025, The relative influence of geographic and environmental factors on rare plant translocation outcomes: Journal of Applied Ecology, v. 62, no. 3, p. 638-650, https://doi.org/10.1111/1365-2664.14855.","productDescription":"13 p.","startPage":"638","endPage":"650","ipdsId":"IP-170384","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":489722,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.14855","text":"Publisher Index Page"},{"id":481263,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Bellis, Joe 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Global","active":true,"usgs":false}],"preferred":false,"id":925105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dalrymple, Sarah E.","contributorId":351155,"corporation":false,"usgs":false,"family":"Dalrymple","given":"Sarah E.","affiliations":[],"preferred":false,"id":928023,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keir, Matthew J.","contributorId":330757,"corporation":false,"usgs":false,"family":"Keir","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":925106,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chambers, Timothy","contributorId":330787,"corporation":false,"usgs":false,"family":"Chambers","given":"Timothy","email":"","affiliations":[{"id":79018,"text":"U.S Army Natural Resources Program on Oahu","active":true,"usgs":false}],"preferred":false,"id":925143,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Possley, Jennifer","contributorId":213571,"corporation":false,"usgs":false,"family":"Possley","given":"Jennifer","email":"","affiliations":[{"id":38796,"text":"Fairchild Tropical Botanic Garden, Miami, FL","active":true,"usgs":false}],"preferred":false,"id":925110,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Adkins, Edith D.","contributorId":330786,"corporation":false,"usgs":false,"family":"Adkins","given":"Edith","email":"","middleInitial":"D.","affiliations":[{"id":64253,"text":"University of Hawaiʻi at Mānoa","active":true,"usgs":false}],"preferred":false,"id":925142,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Parsons, Elliott W.","contributorId":330758,"corporation":false,"usgs":false,"family":"Parsons","given":"Elliott","email":"","middleInitial":"W.","affiliations":[{"id":79002,"text":"University of Hawai‘i at \nMānoa","active":true,"usgs":false}],"preferred":false,"id":925107,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kunz, Michael","contributorId":213565,"corporation":false,"usgs":false,"family":"Kunz","given":"Michael","affiliations":[{"id":38795,"text":"North Carolina Botanical Garden, The University of North Carolina at Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":925109,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Radcliffe, Carrie","contributorId":351156,"corporation":false,"usgs":false,"family":"Radcliffe","given":"Carrie","affiliations":[],"preferred":false,"id":928024,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Coffey, Emily","contributorId":351157,"corporation":false,"usgs":false,"family":"Coffey","given":"Emily","affiliations":[],"preferred":false,"id":928025,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kaye, Thomas N.","contributorId":330759,"corporation":false,"usgs":false,"family":"Kaye","given":"Thomas N.","affiliations":[{"id":79003,"text":"Corvallis; Oregon State University","active":true,"usgs":false}],"preferred":false,"id":925108,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Peterson, Cheryl L.","contributorId":213570,"corporation":false,"usgs":false,"family":"Peterson","given":"Cheryl","email":"","middleInitial":"L.","affiliations":[{"id":38800,"text":"Bok Tower Gardens, Lake Wales, FL","active":true,"usgs":false}],"preferred":false,"id":928026,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Aaron, David","contributorId":83809,"corporation":false,"usgs":false,"family":"Aaron","given":"David","email":"","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":928027,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Herron, Sterling A.","contributorId":351158,"corporation":false,"usgs":false,"family":"Herron","given":"Sterling A.","affiliations":[],"preferred":false,"id":928028,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Menges, Eric","contributorId":330760,"corporation":false,"usgs":false,"family":"Menges","given":"Eric","affiliations":[{"id":17991,"text":"Archbold Biological Station","active":true,"usgs":false}],"preferred":false,"id":925111,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Bell, Timothy J.","contributorId":181524,"corporation":false,"usgs":false,"family":"Bell","given":"Timothy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":925124,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Coppoletta, Michelle","contributorId":247686,"corporation":false,"usgs":false,"family":"Coppoletta","given":"Michelle","email":"","affiliations":[{"id":49613,"text":"USDA Forest Service, Sierra Cascade Province Ecology Program, Quincy, CA, 95971, USA","active":true,"usgs":false}],"preferred":false,"id":925121,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Elam, Caityn","contributorId":351159,"corporation":false,"usgs":false,"family":"Elam","given":"Caityn","affiliations":[],"preferred":false,"id":928029,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Kathryn, Mceachern A.","contributorId":31233,"corporation":false,"usgs":true,"family":"Kathryn","given":"Mceachern","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":928030,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Williamson, Paula","contributorId":330770,"corporation":false,"usgs":false,"family":"Williamson","given":"Paula","email":"","affiliations":[{"id":6677,"text":"Texas State University","active":true,"usgs":false}],"preferred":false,"id":928031,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Boensch, Deanna","contributorId":351160,"corporation":false,"usgs":false,"family":"Boensch","given":"Deanna","affiliations":[],"preferred":false,"id":928032,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Bontrager, Megan","contributorId":330767,"corporation":false,"usgs":false,"family":"Bontrager","given":"Megan","email":"","affiliations":[{"id":7044,"text":"University of Toronto","active":true,"usgs":false}],"preferred":false,"id":928033,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Cooper, Breeden","contributorId":351161,"corporation":false,"usgs":false,"family":"Cooper","given":"Breeden","affiliations":[],"preferred":false,"id":928034,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Frade, Noah","contributorId":351162,"corporation":false,"usgs":false,"family":"Frade","given":"Noah","affiliations":[],"preferred":false,"id":928035,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Gordon, Doria R.","contributorId":289410,"corporation":false,"usgs":false,"family":"Gordon","given":"Doria","email":"","middleInitial":"R.","affiliations":[{"id":15310,"text":"Environmental Defense Fund","active":true,"usgs":false}],"preferred":false,"id":928036,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Link, Steven O.","contributorId":330779,"corporation":false,"usgs":false,"family":"Link","given":"Steven","email":"","middleInitial":"O.","affiliations":[{"id":79014,"text":"Energy and Environmental Sciences Program, Oregon","active":true,"usgs":false}],"preferred":false,"id":928037,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Littlefield, Tara","contributorId":351163,"corporation":false,"usgs":false,"family":"Littlefield","given":"Tara","affiliations":[],"preferred":false,"id":928038,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Murray, Shelia","contributorId":351164,"corporation":false,"usgs":false,"family":"Murray","given":"Shelia","affiliations":[],"preferred":false,"id":928039,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"O’Dell, Ryan","contributorId":346411,"corporation":false,"usgs":false,"family":"O’Dell","given":"Ryan","email":"","affiliations":[{"id":6696,"text":"BLM","active":true,"usgs":false}],"preferred":false,"id":928040,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Pavlovic, Noel B. 0000-0002-2335-2274 npavlovic@usgs.gov","orcid":"https://orcid.org/0000-0002-2335-2274","contributorId":1976,"corporation":false,"usgs":true,"family":"Pavlovic","given":"Noel","email":"npavlovic@usgs.gov","middleInitial":"B.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":928041,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Reemts, Charlotte M.","contributorId":330781,"corporation":false,"usgs":false,"family":"Reemts","given":"Charlotte","email":"","middleInitial":"M.","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":928042,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Taylor, David D.","contributorId":330783,"corporation":false,"usgs":false,"family":"Taylor","given":"David","email":"","middleInitial":"D.","affiliations":[{"id":79015,"text":"Daniel Boone National Forest","active":true,"usgs":false}],"preferred":false,"id":928043,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Titus, Jonathan H.","contributorId":330784,"corporation":false,"usgs":false,"family":"Titus","given":"Jonathan","email":"","middleInitial":"H.","affiliations":[{"id":79016,"text":"Science Center State University of New York","active":true,"usgs":false}],"preferred":false,"id":928044,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Titus, Priscilla J.","contributorId":330785,"corporation":false,"usgs":false,"family":"Titus","given":"Priscilla","email":"","middleInitial":"J.","affiliations":[{"id":79017,"text":"Freelance Ecologist","active":true,"usgs":false}],"preferred":false,"id":928045,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Stanley, Tina A.","contributorId":351165,"corporation":false,"usgs":false,"family":"Stanley","given":"Tina A.","affiliations":[],"preferred":false,"id":928046,"contributorType":{"id":1,"text":"Authors"},"rank":37},{"text":"Heineman, Katherine D.","contributorId":330799,"corporation":false,"usgs":false,"family":"Heineman","given":"Katherine D.","affiliations":[],"preferred":false,"id":925145,"contributorType":{"id":1,"text":"Authors"},"rank":38}]}}
,{"id":70263772,"text":"70263772 - 2025 - Predictive models are indeed useful for causal inference","interactions":[],"lastModifiedDate":"2025-02-24T15:17:50.922892","indexId":"70263772","displayToPublicDate":"2025-01-22T08:14:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Predictive models are indeed useful for causal inference","docAbstract":"<p><span>The subject of investigating causation in ecology has been widely discussed in recent years, especially by advocates of a structural causal model (SCM) approach. Some of these advocates have criticized the use of predictive models and model selection for drawing inferences about causation. We argue that the comparison of model-based predictions with observations is a key step in hypothetico-deductive (H-D) science and remains a valid approach for assessing causation. We draw a distinction between two approaches to inference based on predictive modeling. The first approach is not guided by causal hypotheses and focuses on the relationship between a (typically) single response variable and a potentially large number of covariates. We agree that this approach does not yield useful inferences about causation and is primarily useful for hypothesis generation. The second approach follows a H-D framework and is guided by specific hypotheses about causal relationships. We believe that this has been, and continues to be, a useful approach to causal inference. Here, we first define different kinds of causation, arguing that a “probability-raisers-of-processes” definition is especially appropriate for many ecological systems. We outline different scientific “designs” for generating the observations used to investigate causation. We briefly outline some relevant components of the SCM and H-D approaches to investigating causation, emphasizing a H-D approach that focuses on modeling causal effects on vital rate (e.g., rates of survival, recruitment, local extinction, colonization) parameters underlying system dynamics. We consider criticisms of predictive modeling leveled by some SCM proponents and provide two example analyses of ecological systems that use predictive modeling and avoid these criticisms. We conclude that predictive models have been, and can continue to be, useful for providing inferences about causation.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.4517","usgsCitation":"Nichols, J., and Cooch, E., 2025, Predictive models are indeed useful for causal inference: Ecology, v. 106, no. 1, e4517, 15 p., https://doi.org/10.1002/ecy.4517.","productDescription":"e4517, 15 p.","ipdsId":"IP-164957","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":482373,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"106","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Nichols, James D. 0000-0002-7631-2890","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":264235,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":928212,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cooch, Evan","contributorId":341120,"corporation":false,"usgs":false,"family":"Cooch","given":"Evan","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":928213,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70263615,"text":"70263615 - 2025 - Haunted Summerville: Ghostly lights or earthquake lights?","interactions":[],"lastModifiedDate":"2025-02-18T15:48:24.599405","indexId":"70263615","displayToPublicDate":"2025-01-22T08:06:12","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Haunted Summerville: Ghostly lights or earthquake lights?","docAbstract":"Among the colorful local lore in the Charleston, South Carolina, area, are a number of ghost stories, shared not only over campfires but also in published books.  Among the most well-known of the stories is the tale of the Summerville Light.  Local lore holds that a strange light sometimes seen in a remote area is a lantern carried by the ghost of a local woman who once waited hours for her husband, who turned out to have been decapitated earlier that day in a train accident (DePoppe, 2023). Extant sources suggest the ghost stories began to circulate in the 1950s to 1960s.  So pervasive was the lore that (Old) Sheep Island Road became known among local residents as Light Road, with a local stretch of road known today as Old Light Road.  Reviewing the location where the lights appear as well as the nature of accounts, I suggest that many if not all of the anecdotal observations can be most readily attributed to natural phenomena, including earthquake lights from earthquakes that were too small to be felt.  Accounts of lights near Summerville cluster in proximity to the generally accepted epicenter of the 1886 Charleston, South Carolina, earthquake, where foreshocks to the 1886 mainshock were apparently concentrated, and within a few kilometers of three M3.5 – 4.4 earthquakes in 1959 and 1960.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220240442","usgsCitation":"Hough, S., 2025, Haunted Summerville: Ghostly lights or earthquake lights?: Seismological Research Letters, 7 p., https://doi.org/10.1785/0220240442.","productDescription":"7 p.","ipdsId":"IP-172362","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":482153,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","city":"Summerville","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.1750286386792,\n              33.03098652526661\n            ],\n            [\n              -80.1750286386792,\n              33.01527134670428\n            ],\n            [\n              -80.15888815618494,\n              33.01527134670428\n            ],\n            [\n              -80.15888815618494,\n              33.03098652526661\n            ],\n            [\n              -80.1750286386792,\n              33.03098652526661\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2025-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Hough, Susan E.","contributorId":350996,"corporation":false,"usgs":true,"family":"Hough","given":"Susan E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927581,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70264607,"text":"70264607 - 2025 - Recovering the American horseshoe crab through a commitment to collaboration","interactions":[],"lastModifiedDate":"2025-06-23T15:19:10.816449","indexId":"70264607","displayToPublicDate":"2025-01-22T07:53:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Recovering the American horseshoe crab through a commitment to collaboration","docAbstract":"<p><span>American horseshoe crab&nbsp;</span><i>Limulus polyphemus</i><span>&nbsp;populations are recovering because of cooperation among diverse stakeholders and data-driven collective action.&nbsp;</span><i>Limulus polyphemus</i><span>&nbsp;is one of four extant species facing common threats, and conservation successes and limitations hold lessons applicable to all the species. We review the advancement in management and monitoring over recent decades, discuss the current population status throughout the species’ range, and describe the potential future status and recovery based on recent assessments. In retrospect,&nbsp;</span><i>L. polyphemus</i><span>&nbsp;conservation has followed the frameworks promoted by the International Union for the Conservation of Nature: mobilize networks to increase assessment capacity, engage diverse stakeholders, measure impacts, and amplify successes. Data show significantly increased populations in the Delaware Bay region and improved status in the Northeast. The average abundance of adults in Delaware Bay over the recent decade (2013–2022) is more than twice that in the previous decade (2003–2012). In 2022, the abundances for adult females and males in the Delaware Bay population were estimated to be 16 million and 40 million, respectively. However, reversing persistent poor conditions in some regions and mitigating the widespread threat of habitat loss from coastal development and sea level rise will rely on collaboration among diverse stakeholders to build upon the current conservation successes. Scientists and conservationists working on the horseshoe crab species indigenous to Asia are advancing along a similar track, establishing a monitoring network and mobilizing diverse stakeholders. However, there is a need for capacity building for robust assessment of the species in Asia to measure the impact of conservation, just as that need remains unmet for&nbsp;</span><i>L. polyphemus</i><span>&nbsp;in the Gulf of Mexico. The importance of partnerships and collaborations is apparent in their absence. The regions where partnerships and collaborations among researchers, conservationists, and agency scientists do not exist are those where the capacity for monitoring and assessment is notably lacking.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/fshmag/vuae021","usgsCitation":"Smith, D.R., Botton, M., and Shin, P., 2025, Recovering the American horseshoe crab through a commitment to collaboration: Fisheries, v. 50, no. 6, p. 255-267, https://doi.org/10.1093/fshmag/vuae021.","productDescription":"13 p.","startPage":"255","endPage":"267","ipdsId":"IP-168316","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":483452,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -68.4111673628184,\n              45.59557363731551\n            ],\n            [\n              -72.79604028478602,\n              43.2885548171144\n            ],\n            [\n              -79.18376394472423,\n              33.98021634745319\n            ],\n            [\n              -87.16366759369707,\n              30.59299121506301\n            ],\n            [\n              -91.00483741761445,\n              19.98230416811475\n            ],\n            [\n              -86.10209271501805,\n              20.250947939742574\n            ],\n            [\n              -86.48390972813229,\n              21.472770822927\n            ],\n            [\n              -80.01996169377958,\n              25.202938179984592\n            ],\n            [\n              -66.81672247791515,\n              44.529009105659156\n            ],\n            [\n              -68.4111673628184,\n              45.59557363731551\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"50","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":930940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Botton, Mark","contributorId":352360,"corporation":false,"usgs":false,"family":"Botton","given":"Mark","affiliations":[{"id":84189,"text":"Fordham University","active":true,"usgs":false}],"preferred":false,"id":930941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shin, Paul","contributorId":352361,"corporation":false,"usgs":false,"family":"Shin","given":"Paul","affiliations":[{"id":84190,"text":"University of Hong Kong,","active":true,"usgs":false}],"preferred":false,"id":930942,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70262797,"text":"70262797 - 2025 - Variation in energetic balance among free-ranging polar bears during the spring mating and foraging season","interactions":[],"lastModifiedDate":"2025-02-24T16:57:39.66753","indexId":"70262797","displayToPublicDate":"2025-01-21T15:19:42","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5363,"text":"Arctic Science","active":true,"publicationSubtype":{"id":10}},"title":"Variation in energetic balance among free-ranging polar bears during the spring mating and foraging season","docAbstract":"<p><span>Large carnivores are capable of consuming substantial biomasses that can significantly alter their body mass and condition over short periods. Here we examine the intra-seasonal variation of polar bear (</span><i>Ursus maritimus</i><span>&nbsp;Phipps, 1774) body mass, energy intake, and condition in the spring from two subpopulations. We evaluate the biological and temporal factors that may have driven changes in body mass of 31 individuals captured and recaptured over 2–39 days and assess whether these changes influenced their estimated condition. Body mass changed by –61 to 33&nbsp;kg (</span><span><span class=\"inline-graphic\"><img src=\"https://cdnsciencepub.com/cms/10.1139/as-2024-0051/asset/images/as-2024-0051_ieq1.gif\" alt=\"\" width=\"8\" height=\"14\" data-mce-src=\"https://cdnsciencepub.com/cms/10.1139/as-2024-0051/asset/images/as-2024-0051_ieq1.gif\"></span>&nbsp;</span><span>= –2&nbsp;kg) with bears exhibiting increases in mass with increasing age and decreases with greater initial mass. On average, estimated intake was 57&nbsp;MJ/day. Estimated daily mass-specific body mass changes exhibited greater variation relative to previous measures in polar bears or brown bears (</span><i>U. arctos</i><span>&nbsp;Linnaeus, 1758). Yet, across all bears, measures of condition remained similar between captures. The marked variation in mass gains or losses highlights the varying behavioral and physiological limitations that influence foraging success within this apex carnivore during a season when two key life history events converge wherein feeding is often reduced during mating activities despite the importance of the spring hyperphagia period to long-term energy balance.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/as-2024-0051","usgsCitation":"Pagano, A.M., Atkinson, S.N., and Archer, L.C., 2025, Variation in energetic balance among free-ranging polar bears during the spring mating and foraging season: Arctic Science, v. 11, p. 1-14, https://doi.org/10.1139/as-2024-0051.","productDescription":"14 p.","startPage":"1","endPage":"14","ipdsId":"IP-167264","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":486912,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/as-2024-0051","text":"Publisher Index Page"},{"id":481110,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lancaster Sound, southern Beaufort Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -156,\n              72.32048761233554\n            ],\n            [\n              -156,\n              70\n            ],\n            [\n              -140,\n              70\n            ],\n            [\n              -140,\n              72.32048761233554\n            ],\n            [\n              -156,\n              72.32048761233554\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -94,\n              77\n            ],\n            [\n              -106,\n              77\n            ],\n            [\n              -106,\n              74\n            ],\n            [\n              -94,\n              74\n            ],\n            [\n              -94,\n              77\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"11","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pagano, Anthony M. 0000-0003-2176-0909 apagano@usgs.gov","orcid":"https://orcid.org/0000-0003-2176-0909","contributorId":3884,"corporation":false,"usgs":true,"family":"Pagano","given":"Anthony","email":"apagano@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":924804,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atkinson, Stephen N.","contributorId":12365,"corporation":false,"usgs":false,"family":"Atkinson","given":"Stephen","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":924805,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Archer, Louise C. 0000-0002-1983-3825","orcid":"https://orcid.org/0000-0002-1983-3825","contributorId":312474,"corporation":false,"usgs":false,"family":"Archer","given":"Louise","email":"","middleInitial":"C.","affiliations":[{"id":67687,"text":"University of Toronto Scarborough","active":true,"usgs":false}],"preferred":false,"id":924806,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70265968,"text":"70265968 - 2025 - Multiple dimensions define thresholds for population resilience of the eastern oyster, Crassostrea virginica","interactions":[],"lastModifiedDate":"2025-04-22T17:57:05.14167","indexId":"70265968","displayToPublicDate":"2025-01-21T12:51:45","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Multiple dimensions define thresholds for population resilience of the eastern oyster, <i>Crassostrea virginica</i>","title":"Multiple dimensions define thresholds for population resilience of the eastern oyster, Crassostrea virginica","docAbstract":"<p><span>A species' distribution depends on its tolerance to environmental conditions. These conditions are defined by a minimum, maximum, and optimal ranges of single and combined factors. Forays into environmental conditions outside the minimum or maximum tolerance of a species (i.e., thresholds) are predicted to have large effects on a species' population and may help predict population resilience in the face of changing conditions. Here, we explore ecological thresholds for an important fisheries species and ecosystem engineer,&nbsp;</span><i>Crassostrea virginica</i><span>&nbsp;(eastern oyster). In coastal Louisiana, extreme freshwater inputs from rivers and precipitation events impact estuarine salinity, which is a key driver of oyster population dynamics. Using daily salinity and monthly oyster abundance monitoring data across Louisiana estuaries, we explore low salinity exposure threshold levels for oysters. Two statistical approaches were applied, with each model highlighting a different operational definition of a threshold: random forest models identified a threshold as an abrupt change in the oyster abundance- salinity relationship, while Bayesian models identified an increased probability of oyster&nbsp;abundance dropping below a critical threshold, defined here as less than 50% of the 5-year mean. All model results indicate oysters in coastal Louisiana experience low salinity exposure thresholds, defined as the number of consecutive summer days of salinity levels less than 5. However, actual number of days and salinity threshold differed by statistical approach, oyster life stage, and estuary highlighting the multiple dimensions defining ecological thresholds. While thresholds are considered important benchmarks to inform management and assess population or ecosystem vulnerability, our results reveal the need to carefully relate threshold definition to management goals and to acknowledge that thresholds may be highly context dependent.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.70759","usgsCitation":"La Peyre, M., Wang, H., Sable, S.E., Wu, W., Li, B., Comba, D., Perez, C., Bates, M., and Swam, L.M., 2025, Multiple dimensions define thresholds for population resilience of the eastern oyster, Crassostrea virginica: Ecology and Evolution, v. 15, no. 1, e70759, 17 p., https://doi.org/10.1002/ece3.70759.","productDescription":"e70759, 17 p.","ipdsId":"IP-166145","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488493,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.70759","text":"Publisher Index Page"},{"id":484861,"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              -89.11822914557477,\n              30.785757926614025\n            ],\n            [\n              -93.93935746486115,\n              30.785757926614025\n            ],\n            [\n              -93.93935746486115,\n              28.547047787509243\n            ],\n            [\n              -89.11822914557477,\n              28.547047787509243\n            ],\n            [\n              -89.11822914557477,\n              30.785757926614025\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-21","publicationStatus":"PW","contributors":{"authors":[{"text":"La Peyre, Megan K. 0000-0001-9936-2252","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":264343,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":934187,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, H. 0000-0002-2977-7732","orcid":"https://orcid.org/0000-0002-2977-7732","contributorId":205508,"corporation":false,"usgs":true,"family":"Wang","given":"H.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":934188,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sable, Shaye E.","contributorId":257728,"corporation":false,"usgs":false,"family":"Sable","given":"Shaye","email":"","middleInitial":"E.","affiliations":[{"id":52096,"text":"Dynamic Solutions, LLC","active":true,"usgs":false}],"preferred":false,"id":934189,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wu, Wei","contributorId":353629,"corporation":false,"usgs":false,"family":"Wu","given":"Wei","affiliations":[{"id":12460,"text":"The University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":934190,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Li, Bin","contributorId":47684,"corporation":false,"usgs":true,"family":"Li","given":"Bin","email":"","affiliations":[],"preferred":false,"id":934191,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Comba, Devin","contributorId":335897,"corporation":false,"usgs":false,"family":"Comba","given":"Devin","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":934192,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Perez, Carlos","contributorId":353654,"corporation":false,"usgs":false,"family":"Perez","given":"Carlos","affiliations":[],"preferred":false,"id":934193,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bates, Melanie","contributorId":353630,"corporation":false,"usgs":false,"family":"Bates","given":"Melanie","affiliations":[{"id":32913,"text":"Louisiana State University Agricultural Center","active":true,"usgs":false}],"preferred":false,"id":934194,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Swam, Lauren M.","contributorId":341585,"corporation":false,"usgs":false,"family":"Swam","given":"Lauren","email":"","middleInitial":"M.","affiliations":[{"id":32913,"text":"Louisiana State University Agricultural Center","active":true,"usgs":false}],"preferred":false,"id":934195,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
]}