{"pageNumber":"163","pageRowStart":"4050","pageSize":"25","recordCount":185299,"records":[{"id":70259678,"text":"70259678 - 2024 - Predicting the persistence of salamanders: consequences of phenological shifts for species of management concern on DoD lands","interactions":[],"lastModifiedDate":"2024-10-22T10:49:36.14312","indexId":"70259678","displayToPublicDate":"2024-09-03T05:47:07","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Predicting the persistence of salamanders: consequences of phenological shifts for species of management concern on DoD lands","docAbstract":"<p>As climate change effects intensify, key life history events may become decoupled from necessary biotic and abiotic resources. For species of management concern on Department of Defense (DoD) lands, these shifts in phenology may prove difficult to address without a mechanistic understanding of the drivers of such changes. We sought to determine the causes and effects of phenological shifts on species of management concern by using observational and experimental data to develop and test population viability models. Our objectives were to (i) identify the patterns and drivers of adult breeding and juvenile emigration phenology for four pond-breeding salamanders (three of management concern), (ii) determine how shifts in phenology and abiotic resources affect the strength of species interactions, community structure, and population viability, and (iii) provide management options to mitigate shifts in phenology that may impact ongoing conservation and recovery efforts.</p>","language":"English","publisher":"U.S. Department of Defense","collaboration":"Department of Defense; Virginia Tech; Southern Illinois University-Edwardsville; Appalachian State Univerisity","usgsCitation":"Walls, S., Anderson, T.L., Chandler, H.C., Haas, C.A., and Davenport, J., 2024, Predicting the persistence of salamanders: consequences of phenological shifts for species of management concern on DoD lands, xiii, 91 p.","productDescription":"xiii, 91 p.","ipdsId":"IP-154081","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":463014,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://serdp-estcp.mil/projects/details/de8539d8-7234-4de2-878b-04a3e7299b1a/rc-2703-project-overview"},{"id":463067,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Walls, Susan 0000-0001-7391-9155","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":215987,"corporation":false,"usgs":true,"family":"Walls","given":"Susan","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":916226,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Thomas L.","contributorId":345296,"corporation":false,"usgs":false,"family":"Anderson","given":"Thomas","email":"","middleInitial":"L.","affiliations":[{"id":82537,"text":"Southern Illinois University-Edwardsville","active":true,"usgs":false}],"preferred":false,"id":916227,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chandler, Houston C.","contributorId":342515,"corporation":false,"usgs":false,"family":"Chandler","given":"Houston","email":"","middleInitial":"C.","affiliations":[{"id":13223,"text":"The Orianne Society","active":true,"usgs":false}],"preferred":false,"id":916228,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haas, Carola A.","contributorId":208321,"corporation":false,"usgs":false,"family":"Haas","given":"Carola","email":"","middleInitial":"A.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":916229,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davenport, Jon M.","contributorId":126727,"corporation":false,"usgs":false,"family":"Davenport","given":"Jon M.","affiliations":[{"id":6583,"text":"University of Montana, Division of Biological Sciences, Missoula, MT, USA 59812","active":true,"usgs":false}],"preferred":false,"id":916230,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70258360,"text":"70258360 - 2024 - Field evidence and indicators of rockfall fragmentation and implications for mobility","interactions":[],"lastModifiedDate":"2024-09-12T16:04:51.215235","indexId":"70258360","displayToPublicDate":"2024-09-02T10:57:41","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1517,"text":"Engineering Geology","active":true,"publicationSubtype":{"id":10}},"title":"Field evidence and indicators of rockfall fragmentation and implications for mobility","docAbstract":"<p><span>Rockfall fragmentation can play an important role in hazard studies and the design of protective measures. However, the current lack of modeling tools that incorporate rock fragmentation mechanics is a limitation to enhancing studies and design. This research investigates the fragmentation patterns of rockfalls and analyzes the resulting distribution of fragment sizes within corresponding rockfall deposits. We focus on small rock fragments, which provide insights into the dynamics of the rockfall event and can be used as input for numerical modeling. We analyzed multiple rockfall events from locations worldwide, each exhibiting different degrees of fragmentation. Using image analysis techniques, we mapped all visible blocks, determined their volumes, and measured the distances they travelled from the initial point of impact. A key finding is the identification of three indicators of fragmentation. First, in cases where fragmentation was largely absent, we observed a trend of increasing block size with distance from the impact point or source area, which aligns with previously published findings. However, for energetic rockfall events characterized by intense fragmentation, we observed that small fragments exhibited longer travel distances compared to larger fragments. This distinction allowed us to differentiate blocks primarily resulting from the disaggregation process from those primarily resulting from dynamic fragmentation, with implications for rockfall mobility. Second, although the size distribution of rockfall deposits exhibits a power-law scaling for volumes larger than a minimum size threshold corresponding to a rollover of the distribution, in some case studies a deviation from power-law scaling is observed, indicating a process of larger block comminution due to fragmentation. Third, we found that rockfalls with fragmentation experience reduced mobility, indicated by higher reach angles, and higher lateral dispersion showing a wider distribution of trajectories. We interpret these findings as being directly related to the energy-consuming nature of fragmentation, which prevents farther deposition of fragmented rock blocks.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.enggeo.2024.107704","usgsCitation":"Lanfranconi, C., Frattini, P., Agliardi, F., Stock, G., Collins, B.D., and Crosta, G., 2024, Field evidence and indicators of rockfall fragmentation and implications for mobility: Engineering Geology, v. 341, 107704, 12 p., https://doi.org/10.1016/j.enggeo.2024.107704.","productDescription":"107704, 12 p.","ipdsId":"IP-160330","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":439183,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.enggeo.2024.107704","text":"Publisher Index 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,{"id":70262457,"text":"70262457 - 2024 - Incorporating climate change into restoration decisions: Perspectives from dam removal practitioners","interactions":[],"lastModifiedDate":"2025-01-17T17:43:07.089131","indexId":"70262457","displayToPublicDate":"2024-09-02T10:33:57","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7455,"text":"Ecology & Society","active":true,"publicationSubtype":{"id":10}},"title":"Incorporating climate change into restoration decisions: Perspectives from dam removal practitioners","docAbstract":"<p><span>Incorporating climate change into conservation and restoration decisions is increasingly important for natural resource managers and restoration practitioners to effectively address the underlying drivers of ecosystem change. Small dam removal is an example of a restoration tool that may offer multiple socioeconomic and ecological benefits in streams, including promoting climate resilience. With the pace of dam removals increasing, practitioners and researchers are well-poised to incorporate climate change into future dam removal decisions. Therefore, we surveyed dam removal practitioners across 14 states in the eastern United States to understand current practices of small dam removals, factors driving restoration decisions, and how climate change knowledge is incorporated into these decisions. We also aimed to identify barriers to and opportunities for knowledge exchange between practitioners and researchers. Of the 100 respondents, most (79%) consider climate change in their dam removal decisions to some extent. Despite this, many reported a lack of clear, relevant, and accessible data linking small dam removal to climate resilience benefits. Dam removal practitioners also indicated that they most often rely on climate change information garnered from conversations with colleagues, rather than from scientific research products. These results suggest that the co-production of relevant, salient research questions and readily accessible and interpretable research products (e.g., technical summaries, open access articles) may encourage practitioners to incorporate climate change science more consistently and efficiently into dam removal decisions. These findings may also translate to other stream restoration efforts to inform knowledge exchange and improve restoration outcomes in a changing climate.</span></p>","language":"English","publisher":"Resilience Alliance","doi":"10.5751/es-15182-290321","usgsCitation":"Abbott, K., Roy, A.H., Magilligan, F., Nislow, K., and Quiñones, R., 2024, Incorporating climate change into restoration decisions: Perspectives from dam removal practitioners: Ecology & Society, v. 29, no. 3, 21, 20 p., https://doi.org/10.5751/es-15182-290321.","productDescription":"21, 20 p.","ipdsId":"IP-151780","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481063,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-15182-290321","text":"Publisher Index Page"},{"id":480757,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, 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University","active":true,"usgs":false}],"preferred":false,"id":924254,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nislow, Keith H.","contributorId":349350,"corporation":false,"usgs":false,"family":"Nislow","given":"Keith H.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":924255,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Quiñones, Rebecca","contributorId":349351,"corporation":false,"usgs":false,"family":"Quiñones","given":"Rebecca","affiliations":[{"id":16900,"text":"Massachusetts Division of Fisheries and Wildlife","active":true,"usgs":false}],"preferred":false,"id":924256,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70266905,"text":"70266905 - 2024 - Recognition of artificial gases formed during drill-bit metamorphism using advanced mud gas","interactions":[],"lastModifiedDate":"2025-05-15T15:04:15.890062","indexId":"70266905","displayToPublicDate":"2024-09-02T07:58:30","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10757,"text":"Energies","active":true,"publicationSubtype":{"id":10}},"title":"Recognition of artificial gases formed during drill-bit metamorphism using advanced mud gas","docAbstract":"Drill-bit metamorphism (DBM) is the process of thermal degradation of drilling fluid at the interface of the bit and rock due to the overheating of the bit. The heat generated by the drill when drilling into a rock formation promotes the generation of artificial hydrocarbon and non-hydrocarbon gas, changing the composition of the gas. The objective of this work is to recognize and evaluate artificial gases originating from DBM in wells targeting oil accumulations in pre-salt carbonates in the Santos Basin, Brazil. For the evaluation, chromatographic data from advanced mud gas equipment, drilling parameters, drill type, and lithology were used. The molar concentrations of gases and gas ratios (especially ethene/ethene+ethane and dryness) were analyzed, which identified the occurrence of DBM. DBM is most severe when wells penetrate igneous and carbonate rocks with diamond-impregnated drill bits. The rate of penetration, weight on bit, and rotation per minute were evaluated together with gas data but did not present good correlations to assist in identifying DBM. The depth intervals over which artificial gases formed during DBM are recognized should not be used to infer pay zones or predict the composition and properties of reservoir fluids because the gas composition is completely changed.","language":"English","publisher":"MDPI","doi":"10.3390/en17174383","usgsCitation":"Leon, J., Penteado, H., Ellis, G.S., Milkov, A., and Filho, J., 2024, Recognition of artificial gases formed during drill-bit metamorphism using advanced mud gas: Energies, v. 17, no. 17, 4383, 15 p., https://doi.org/10.3390/en17174383.","productDescription":"4383, 15 p.","ipdsId":"IP-156439","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":490123,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/en17174383","text":"Publisher Index Page"},{"id":485995,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil","otherGeospatial":"Santos Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -47.95829074516948,\n              -24.158423608072184\n            ],\n            [\n              -48.78636605095795,\n              -27.5769025278343\n            ],\n            [\n              -46.99648407706377,\n              -28.685560867609183\n            ],\n            [\n              -43.4776286149596,\n              -28.710262272210713\n            ],\n            [\n              -41.53986377011067,\n              -24.167147426819017\n            ],\n            [\n              -43.19143671242696,\n              -22.156723909933447\n            ],\n            [\n              -47.95829074516948,\n              -24.158423608072184\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"17","issue":"17","noUsgsAuthors":false,"publicationDate":"2024-09-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Leon, Janaina A. de Lima","contributorId":355194,"corporation":false,"usgs":false,"family":"Leon","given":"Janaina A. de Lima","affiliations":[{"id":84724,"text":"Petrobras, Rio de Janeiro, Brazil","active":true,"usgs":false}],"preferred":false,"id":937093,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Penteado, Henrique Luiz de Barros","contributorId":355195,"corporation":false,"usgs":false,"family":"Penteado","given":"Henrique Luiz de Barros","affiliations":[{"id":84724,"text":"Petrobras, Rio de Janeiro, Brazil","active":true,"usgs":false}],"preferred":false,"id":937094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellis, Geoffrey S. 0000-0003-4519-3320 gsellis@usgs.gov","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":1058,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey","email":"gsellis@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":937095,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Milkov, Alexei V.","contributorId":355196,"corporation":false,"usgs":false,"family":"Milkov","given":"Alexei V.","affiliations":[{"id":13027,"text":"Department of Geology and Geological Engineering, Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":937096,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Filho, João Graciano Mendonça","contributorId":355197,"corporation":false,"usgs":false,"family":"Filho","given":"João Graciano Mendonça","affiliations":[{"id":84726,"text":"Federal University of Rio de Janeiro, Brazil","active":true,"usgs":false}],"preferred":false,"id":937097,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70261010,"text":"70261010 - 2024 - Insights on gas hydrate formation and growth within an interbedded sand reservoir from well logging at the Qiongdongnan Basin, South China Sea","interactions":[],"lastModifiedDate":"2024-11-20T15:04:25.941164","indexId":"70261010","displayToPublicDate":"2024-09-02T07:56:14","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Insights on gas hydrate formation and growth within an interbedded sand reservoir from well logging at the Qiongdongnan Basin, South China Sea","docAbstract":"Although variable well log resolution and its control on saturation estimation has been studied, it has not been directly applied to a specific location to explore the nature of gas hydrate within a sand reservoir. We applied in-situ measurements of resistivities, neutron porosity, and gamma ray at two sites in the Qiongdongnan Basin, South China Sea (QDN-W05–2021 and QDN-W08–2021) to investigate the reservoir parameters of a hydrate-bearing sand reservoir. Our results show that gas hydrate is distributed in 5 zones with a total thickness of 10.7 m and an average saturation of 69% at the QDN-W05–2021 site, while they are distributed in 2 zones with a total thickness of 4.3 m and an average saturation of 49% at the QDN-W08–2021 site. We found that variances in saturations estimated from lateral-extra deep button (RX), phase shift (P40H-P40L), and attenuation (A40H-A40L) resistivities within the laterally mapped continuous sand body were affected by the nature of gas hydrate occurrences. Results indicate gas hydrate forms and accumulates at the center of the sand layer and tends to be less or not present toward the top and base. Integrated with seismic data, the in-situ measurements provide insights in the evolution of a mushroom-shaped, hydrate-gas reservoir system. In the system, free gas is likely horizontally transported from the top-center of the gas chimney to the surrounding areas in the early stage dominated by a warm-gas environment, whereas hydrate forms in the opposite pathway starting from the surrounding areas in the following stage with temperature reducing. Our study suggests that high-resolution in-situ measurements not only are a tool to identify the physical properties, but also can be used to help explain the physical process of hydrate growth and accumulation.","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2024.107343","usgsCitation":"Kang, D., Zhang, Z., Lu, J., Phillips, S.C., Liang, J., Deng, W., Zhong, C., and Meng, D., 2024, Insights on gas hydrate formation and growth within an interbedded sand reservoir from well logging at the Qiongdongnan Basin, South China Sea: Marine Geology, v. 475, 107343, 14 p., https://doi.org/10.1016/j.margeo.2024.107343.","productDescription":"107343, 14 p.","ipdsId":"IP-167278","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":498062,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.margeo.2024.107343","text":"Publisher Index Page"},{"id":464339,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Qiongdongnan Basin, South China Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              109.8098221507899,\n              17.666985235695577\n            ],\n            [\n              109.8098221507899,\n              15.348061719259704\n            ],\n            [\n              117.49933295499756,\n              15.348061719259704\n            ],\n            [\n              117.49933295499756,\n              17.666985235695577\n            ],\n            [\n              109.8098221507899,\n              17.666985235695577\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"475","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kang, Dongju","contributorId":208555,"corporation":false,"usgs":false,"family":"Kang","given":"Dongju","email":"","affiliations":[],"preferred":false,"id":918899,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Zijian","contributorId":346398,"corporation":false,"usgs":false,"family":"Zhang","given":"Zijian","email":"","affiliations":[{"id":82862,"text":"Research Institute of Tsinghua University in Shenzhen; Prime Ocean Technology Inc","active":true,"usgs":false}],"preferred":false,"id":918900,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lu, Jing’an","contributorId":346399,"corporation":false,"usgs":false,"family":"Lu","given":"Jing’an","email":"","affiliations":[{"id":68688,"text":"Guangzhou Marine Geological Survey","active":true,"usgs":false}],"preferred":false,"id":918901,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phillips, Stephen C. 0000-0003-0858-4701","orcid":"https://orcid.org/0000-0003-0858-4701","contributorId":268177,"corporation":false,"usgs":true,"family":"Phillips","given":"Stephen","email":"","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":918902,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Liang, Jinqiang","contributorId":346400,"corporation":false,"usgs":false,"family":"Liang","given":"Jinqiang","email":"","affiliations":[{"id":68688,"text":"Guangzhou Marine Geological Survey","active":true,"usgs":false}],"preferred":false,"id":918903,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Deng, Wei","contributorId":316745,"corporation":false,"usgs":false,"family":"Deng","given":"Wei","email":"","affiliations":[{"id":68688,"text":"Guangzhou Marine Geological Survey","active":true,"usgs":false}],"preferred":false,"id":918904,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhong, Chao","contributorId":346401,"corporation":false,"usgs":false,"family":"Zhong","given":"Chao","email":"","affiliations":[{"id":68688,"text":"Guangzhou Marine Geological Survey","active":true,"usgs":false}],"preferred":false,"id":918905,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Meng, Dajiang","contributorId":346402,"corporation":false,"usgs":false,"family":"Meng","given":"Dajiang","email":"","affiliations":[{"id":68688,"text":"Guangzhou Marine Geological Survey","active":true,"usgs":false}],"preferred":false,"id":918906,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70261236,"text":"70261236 - 2024 - Evidence of longitudinal differences in spring migration strategies of an Arctic-nesting goose","interactions":[],"lastModifiedDate":"2024-12-03T14:59:22.039155","indexId":"70261236","displayToPublicDate":"2024-09-02T07:54:42","publicationYear":"2024","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":"Evidence of longitudinal differences in spring migration strategies of an Arctic-nesting goose","docAbstract":"<p>During spring, migratory birds are required to optimally balance energetic costs of migration across heterogeneous landscapes and weather conditions to survive and reproduce successfully. Therefore, an individual's migratory performance may influence reproductive outcomes. Given large-scale changes in land use, climate, and potential carry-over effects, understanding how individuals migrate in relation to breeding outcomes is critical to predicting how future scenarios may affect populations. We used GPS tracking devices on 56 Greater White-fronted Geese (<i>Anser albifrons</i>) during four spring migrations to examine whether migration characteristics influenced breeding propensity and breeding outcome. We found a strong longitudinal difference in arrival to the breeding areas (18 days earlier), pre-nesting duration (90.9% longer), and incubation initiation dates (9 days earlier) between western- and eastern-Arctic breeding regions, with contrasting effects on breeding outcomes, but no migration characteristic strongly influenced breeding outcome. We found that breeding region influenced whether an individual likely pursued a capital or income breeding strategy. Where individuals fell along the capital-income breeding continuum was influenced by longitude, revealing geographic effects of life-history strategy among conspecifics. Factors that govern breeding outcomes likely occur primarily upon arrival to breeding areas or are related to individual quality and previous breeding outcome, and may not be directly tied to migratory decision-making across broad scales.</p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.11665","usgsCitation":"VonBank, J.A., Kraai, K.J., Collins, D.P., Link, P.T., Weegman, M., Cao, L., and Ballard, B., 2024, Evidence of longitudinal differences in spring migration strategies of an Arctic-nesting goose: Ecology and Evolution, v. 14, no. 9, e11665, 17 p., https://doi.org/10.1002/ece3.11665.","productDescription":"e11665, 17 p.","ipdsId":"IP-157374","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":466940,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.11665","text":"Publisher Index 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P.","contributorId":341613,"corporation":false,"usgs":false,"family":"Collins","given":"Daniel","email":"","middleInitial":"P.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":920031,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Link, Paul T.","contributorId":53611,"corporation":false,"usgs":false,"family":"Link","given":"Paul","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":920032,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weegman, Mitch D.","contributorId":207459,"corporation":false,"usgs":false,"family":"Weegman","given":"Mitch D.","affiliations":[],"preferred":false,"id":920033,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cao, Lei","contributorId":181789,"corporation":false,"usgs":false,"family":"Cao","given":"Lei","email":"","affiliations":[],"preferred":false,"id":920034,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ballard, Bart M.","contributorId":346856,"corporation":false,"usgs":false,"family":"Ballard","given":"Bart M.","affiliations":[{"id":82998,"text":"Caesar Kleberg Wildlife Research Institute, Texas A&M University – Kingsville","active":true,"usgs":false}],"preferred":false,"id":920035,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70259632,"text":"70259632 - 2024 - Arctic Alaska deepwater organic carbon burial and environmental changes during the late Albian–early Campanian (103–82 Ma)","interactions":[],"lastModifiedDate":"2024-10-21T11:12:59.205907","indexId":"70259632","displayToPublicDate":"2024-09-02T06:10:33","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Arctic Alaska deepwater organic carbon burial and environmental changes during the late Albian–early Campanian (103–82 Ma)","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0002\" class=\"abstract author\"><div id=\"abss0002\"><div id=\"spara008\" class=\"u-margin-s-bottom\">The middle Cretaceous greenhouse period experienced profound environmental change including episodes of enhanced global burial of organic carbon marked by carbon isotopic excursions (CIEs). However, the role and response of polar regions like the newly formed, partially enclosed Arctic Ocean Basin during middle Cretaceous carbon burial remains enigmatic. We present the first Arctic deepwater CIE record that characterizes conditions offshore of the Alaska margin north of 75°N paleolatitude. Organic carbon isotopes (δ<sup>13</sup>C<sub>org</sub>) and 103–82 Ma ash zircon U-Pb dates from the distal Hue Shale record multiple Albian–Campanian CIEs during slow ∼3–15 m/Myr sediment accumulation rates. Average total organic carbon (TOC) increased substantially during large 2–3 ‰ CIEs of the ∼101 Ma Albian-Cenomanian boundary event (from 7 to 18 % TOC) and ∼94 Ma Cenomanian-Turonian boundary event (5 to 10 % TOC). Turonian TOC remained elevated (8–13 %) during high global sea levels and temperatures of the Cretaceous Thermal Maximum, followed by an increase from 7 to 11 % TOC during the ∼90 Ma late Turonian event 1.5 ‰ CIE. Average TOC subsequently decreased in the Coniacian–Campanian, but relative maxima occurred during subtle 0.5–1 ‰ CIEs interpreted as the ∼87 Ma late Coniacian event (increase from 4 to 7 % TOC), ∼85 Ma Horseshoe Bay event (3.5 to 4.5 % TOC), and ∼84 Ma Santonian-Campanian boundary event (3.5 to 5 % TOC). Increases in hydrogen index and productivity proxies (P, Ba, Nd) that accompanied each CIE episode with enhanced TOC suggest a strong link between marine productivity and organic carbon burial at short-term CIE timescales. However, long-term (&gt;5–8 Myr) changes in trace metal redox (Mo, Fe, V) and salinity (B/Ga) proxies suggest shifts in prevailing environmental conditions at timescales longer than the CIEs. Late Albian–middle Turonian marine salinity occurred during euxinic (103–98 Ma) and suboxic (98–90 Ma) conditions with deposition interpreted to have occurred within and beneath an oxygen minimum zone, respectively. In contrast, late Turonian–early Campanian (90–82 Ma) freshening and restricted euxinic basin conditions may signal the start of widespread restriction known to characterize the Paleogene Arctic. Overall, these results highlight that middle Cretaceous Arctic deepwater remained a productive marine carbon sink coupled to the global carbon cycle despite evolving Arctic greenhouse conditions.</div></div></div></div><div id=\"reading-assistant-main-body-section\"><br></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2024.118948","usgsCitation":"Lease, R.O., Whidden, K.J., Dumoulin, J.A., Houseknecht, D.W., Botterell, P.J., Dreier, M.F., Griffis, N.P., Mundil, R., Kylander-Clark, A.R., Sanders, M.M., Counts, J.W., Self-Trail, J., Gooley, J.T., Rouse, W.A., Smith, R.A., and DeVera, C.A., 2024, Arctic Alaska deepwater organic carbon burial and environmental changes during the late Albian–early Campanian (103–82 Ma): Earth and Planetary Science Letters, v. 646, 118948, 9 p., https://doi.org/10.1016/j.epsl.2024.118948.","productDescription":"118948, 9 p.","ipdsId":"IP-142153","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":466941,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2024.118948","text":"Publisher Index Page"},{"id":463053,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -140.27461064742835,\n              68.5585255308072\n            ],\n            [\n              -140.27461064742835,\n      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Minerals","active":true,"usgs":true}],"preferred":true,"id":916057,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whidden, Katherine J. 0000-0002-7841-2553 kwhidden@usgs.gov","orcid":"https://orcid.org/0000-0002-7841-2553","contributorId":3960,"corporation":false,"usgs":true,"family":"Whidden","given":"Katherine","email":"kwhidden@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":916058,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dumoulin, Julie A. 0000-0003-1754-1287 dumoulin@usgs.gov","orcid":"https://orcid.org/0000-0003-1754-1287","contributorId":203209,"corporation":false,"usgs":true,"family":"Dumoulin","given":"Julie","email":"dumoulin@usgs.gov","middleInitial":"A.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":916059,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Houseknecht, David W. 0000-0002-9633-6910 dhouse@usgs.gov","orcid":"https://orcid.org/0000-0002-9633-6910","contributorId":645,"corporation":false,"usgs":true,"family":"Houseknecht","given":"David","email":"dhouse@usgs.gov","middleInitial":"W.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":916060,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Botterell, Palma J. 0000-0001-7140-0915 pjarboe@usgs.gov","orcid":"https://orcid.org/0000-0001-7140-0915","contributorId":5805,"corporation":false,"usgs":true,"family":"Botterell","given":"Palma","email":"pjarboe@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":916061,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dreier, Mark F. 0000-0003-1221-2193","orcid":"https://orcid.org/0000-0003-1221-2193","contributorId":294960,"corporation":false,"usgs":true,"family":"Dreier","given":"Mark","email":"","middleInitial":"F.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":916062,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Griffis, Neil Patrick 0000-0002-2506-7549","orcid":"https://orcid.org/0000-0002-2506-7549","contributorId":330218,"corporation":false,"usgs":true,"family":"Griffis","given":"Neil","email":"","middleInitial":"Patrick","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":916063,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mundil, 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Center","active":true,"usgs":true}],"preferred":true,"id":916066,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Counts, John W. 0000-0001-7374-6928","orcid":"https://orcid.org/0000-0001-7374-6928","contributorId":248711,"corporation":false,"usgs":true,"family":"Counts","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":916067,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Self-Trail, Jean 0000-0002-3018-4985 jstrail@usgs.gov","orcid":"https://orcid.org/0000-0002-3018-4985","contributorId":147370,"corporation":false,"usgs":true,"family":"Self-Trail","given":"Jean","email":"jstrail@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":916068,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Gooley, Jared T. 0000-0001-5620-3702","orcid":"https://orcid.org/0000-0001-5620-3702","contributorId":248710,"corporation":false,"usgs":true,"family":"Gooley","given":"Jared","email":"","middleInitial":"T.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":916069,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Rouse, William A. 0000-0002-0790-370X wrouse@usgs.gov","orcid":"https://orcid.org/0000-0002-0790-370X","contributorId":4172,"corporation":false,"usgs":true,"family":"Rouse","given":"William","email":"wrouse@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":916070,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Smith, Rebecca A. 0000-0002-9823-706X rsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-9823-706X","contributorId":201349,"corporation":false,"usgs":true,"family":"Smith","given":"Rebecca","email":"rsmith@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":916071,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"DeVera, Christina A. 0000-0002-4691-6108 cdevera@usgs.gov","orcid":"https://orcid.org/0000-0002-4691-6108","contributorId":3845,"corporation":false,"usgs":true,"family":"DeVera","given":"Christina","email":"cdevera@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":916072,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70260984,"text":"70260984 - 2024 - 2023-2024 Coastal sage scrub and chaparral community monitoring for western San Diego County","interactions":[],"lastModifiedDate":"2024-11-19T19:53:51.891323","indexId":"70260984","displayToPublicDate":"2024-09-01T13:42:45","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"2023-2024 Coastal sage scrub and chaparral community monitoring for western San Diego County","docAbstract":"Western San Diego County is dominated by shrublands supporting biologically diverse native plant and animal communities. Widespread urbanization has led to regional habitat loss and fragmentation, and many species in these shrubland communities are rare, threatened, or endangered. Large-scale, multiple-species conservation planning has resulted in a regional preserve system that focuses on these shrubland communities. Several large-scale threats are leading to type conversion from shrub-dominated to non-native invasive annual grass-dominated vegetation. To understand the changes that are occurring to native shrublands, we have developed a vegetation monitoring program with several components at multiple spatial scales, focused on quantifying coastal sage scrub (CSS) and chaparral vegetation community characteristics. Several drivers of change associated with type conversion of native shrubland to non-native annual grassland have been identified by previous research including increasing fire frequency, nitrogen deposition from air pollution, and prolonged and intense drought associated with changing climate.\nLoss of ecological integrity indices have been proposed as useful measures of the threat of degradation and type conversion of shrublands in San Diego County. For this study, ecological integrity is defined as a system’s ability to maintain species’ relationships and functions comparable to natural habitat in the region. Previous studies have identified the percent cover of invasive non-native annual grasses as a proxy for overall ecological degradation (loss of integrity) that is consistent across native taxonomic groups. Increased cover of non-native grass is associated with lower integrity of the shrubland vegetation community as shrub-associated plant and animal species are replaced by species preferring grassy and disturbed habitats. \nThe objectives of this CSS and chaparral vegetation community monitoring plan are to:\n1) Determine the distribution, composition, structure, and integrity of CSS and chaparral vegetation communities on conserved lands in western San Diego County,\n2) Identify whether these attributes of the vegetation communities are changing over time, and\n3) Evaluate relationships of known drivers of change (threats) and environmental factors in association with changes in vegetation community attributes.\nThe CSS and chaparral vegetation community monitoring program is divided into four components: 1) vegetation mapping, 2) GIS/remote sensing office analysis of landscape-scale data, 3) permanent field plots using Unmanned Aerial Systems (UAS) and field data collections, and 4) animal and target species surveys and rapid assessment protocols. \nThe first component, which is not detailed in this vegetation monitoring plan, aims to map vegetation communities every 10-15 years based on a classification developed for western San Diego County. High resolution aerial imagery will be used to update the 2012 vegetation map and expand it across the entire study area. \nThe second component uses remote sensing models to annually track ecological integrity of shrublands across the study area and will include a map of areas of change and areas of stability over several decades. These landscape-scale integrity classifications will be used to analyze ecological processes, threats, and abiotic factors relative to changes to shrubland ecological integrity over time and space. \nThe third component includes field surveys of 100 permanent plots across areas historically mapped as shrublands. Surveys in the 1930s mapped vegetation types using plot data. By using this historical classification map, we included areas that have already type-converted from shrubland to non-native annual grassland. The plots were split between CSS (55 plots) and chaparral (45 plots) and stratified into four geographical eco-subregions to guarantee coverage over small patches of habitat along the heavily developed coast. Surveys will include the collection of UAS imagery at a very high resolution. Species-level identifications will be made from the imagery based on a plant list compiled of all species detected in the plot during a thorough field survey by botanists, combined with geo-referenced samples of plant species locations. In addition, herbaceous cover will be estimated in the field using nine 1-m diameter circles (one per subplot) to obtain ocular estimates of cover for each plant species within the circle frame. Soil samples will be collected and analyzed for important element compositions. These data will be analyzed to evaluate plot-level ecological integrity based on species composition and cover. Repeated monitoring will allow evaluation of changes in vegetation attributes over time with known drivers or threats and other environmental factors. In addition, analyses will focus on indicator species and various measures of biological diversity for the vegetation communities.\nFinally, animal species and rare plants will be assessed using either taxa-based rapid assessment protocols or specialized species-specific protocols for rarer species. The purpose of these assessments is to document the status, habitat, and threat covariates of specific species and confirm the species composition and diversity of animal taxonomic groups (e.g., pollinators). Diversity and abundance of animal species at vegetation plots will be used to refine measures and thresholds of ecological integrity. Rapid assessment protocols for animal taxonomic groups can include multiple detection methods such as, camera traps, cover boards, and bird point counts. Pollinators will be monitored at plots using a protocol currently being developed in conjunction with but separately from this plan. Target rare plant species will be monitored using the regional Inspect and Manage (IMG) protocol that measures the status of rare plant occurrences and habitat and threat covariates over time. Species-specific animal survey methods will be refined as these species are prioritized for future monitoring.\nThe goal of this monitoring program is to classify CSS and chaparral vegetation community integrity, identify areas of degradation across western San Diego County, and characterize drivers, and environmental factors associated with loss of ecological integrity. A combination of vegetation mapping, landscape-scale remote sensing, and field plots will be used to address all the aspects of our research questions. Data compiled and collected will be available to conservation partners to help inform future management decisions.","language":"English","publisher":"San Diego Association of Government Regional Habitat Conservation Taskforce","usgsCitation":"Perkins, E., Gould, P.R., Kingston, J., Brown, C., Preston, K.L., and Fisher, R., 2024, 2023-2024 Coastal sage scrub and chaparral community monitoring for western San Diego County, 140 p.","productDescription":"140 p.","ipdsId":"IP-166858","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":464285,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.sdmmp.com/upload/SDMMP_Repository/0/d1hm9b5prngj2v306zfqs84y7tcxwk.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":464301,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"San Diego County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.13399491171916,\n              32.5777941285686\n            ],\n            [\n              -117.13399491171916,\n              32.54958248003706\n            ],\n            [\n              -117.08507141928763,\n              32.54958248003706\n            ],\n            [\n              -117.08507141928763,\n              32.5777941285686\n            ],\n            [\n              -117.13399491171916,\n              32.5777941285686\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Perkins, Emily E. 0000-0002-6286-3480","orcid":"https://orcid.org/0000-0002-6286-3480","contributorId":225022,"corporation":false,"usgs":true,"family":"Perkins","given":"Emily E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":918798,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gould, Philip Robert 0000-0002-8871-0968","orcid":"https://orcid.org/0000-0002-8871-0968","contributorId":294694,"corporation":false,"usgs":true,"family":"Gould","given":"Philip","email":"","middleInitial":"Robert","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":918799,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kingston, Jennifer 0000-0002-9994-1972","orcid":"https://orcid.org/0000-0002-9994-1972","contributorId":258244,"corporation":false,"usgs":true,"family":"Kingston","given":"Jennifer","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":918800,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Christopher W. 0000-0002-2545-9171","orcid":"https://orcid.org/0000-0002-2545-9171","contributorId":240860,"corporation":false,"usgs":true,"family":"Brown","given":"Christopher W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":918801,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Preston, Kristine L. 0000-0002-6958-1128 kpreston@usgs.gov","orcid":"https://orcid.org/0000-0002-6958-1128","contributorId":207765,"corporation":false,"usgs":true,"family":"Preston","given":"Kristine","email":"kpreston@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":918802,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fisher, Robert N. 0000-0002-2956-3240","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":51675,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":918803,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70258327,"text":"70258327 - 2024 - An analytical approach for simulating effects of avalanches on mountain goat population dynamics: Implications for management and conservation","interactions":[],"lastModifiedDate":"2026-04-21T16:13:08.101157","indexId":"70258327","displayToPublicDate":"2024-09-01T10:49:44","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"An analytical approach for simulating effects of avalanches on mountain goat population dynamics: Implications for management and conservation","docAbstract":"<p><span>Mountain environments with snow avalanche hazard cover about 6% of Earth’s land area and occur on all continents. Whereas human risks associated with avalanche hazard have been widely studied, little is known about how avalanche activity affects population dynamics in mountain wildlife. Globally, 32 species of mountain ungulates across 70 countries occupy avalanche-prone terrain. Avalanches comprise the leading cause of mortality in coastal Alaskan mountain goats (mean = 36%, range = 23 - 65%, depending on area), and disproportionately remove prime-aged individuals from populations. The implications of such rates and patterns of mortality on population growth rate are likely to be significant given the species’ low reproductive productivity, but further clarity is needed. To fill this knowledge gap, we developed a sex- and age-specific population modeling approach that integrates both reproduction and mortality to simulate the effects of avalanche-caused mortality on population growth rate across a range of empirically-observed states of avalanche-caused mortality (minimum, mean, maximum). Simulations were conducted to illustrate model functionality, and also provide insight about potential avalanche impacts on population demographic processes. For example, when severe avalanche years occur populations can experience significant additive mortality and declines (up to 15%). Due to low reproductive rates and slow life-history strategy of the species, such impacts can lead to long demographic recovery times (up to 11 years). From a species conservation perspective, such impacts are striking, and highlight the utility of employing a quantitative modeling approach to predict possible effects of avalanches on mountain ungulate population dynamics and viability. Our work explicitly builds upon recent findings about the importance of avalanches on mountain-adapted animal populations, and associated implications for the cultural and ecological communities that depend on them.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings, International Snow Science Workshop, Tromsø, Norway, 2024","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Montana State University","usgsCitation":"White, K., Levi, T., Hood, E.W., Wolken, G.J., Peitzsch, E.H., Buhler, Y., Wikstrom Jones, K., and Darimont, C., 2024, An analytical approach for simulating effects of avalanches on mountain goat population dynamics: Implications for management and conservation, <i>in</i> Proceedings, International Snow Science Workshop, Tromsø, Norway, 2024, p. 578-586.","productDescription":"9 p.","startPage":"578","endPage":"586","ipdsId":"IP-169353","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":503273,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":503272,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://arc.lib.montana.edu/snow-science/item.php?id=3193"}],"country":"United States","state":"Alaska","otherGeospatial":"coastal Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -138,\n              59.65495767270383\n            ],\n            [\n              -130,\n              59.65495767270383\n            ],\n            [\n              -130,\n              55\n            ],\n            [\n              -138,\n              55\n            ],\n            [\n              -138,\n              59.65495767270383\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"White, Kevin 0000-0002-5231-6045","orcid":"https://orcid.org/0000-0002-5231-6045","contributorId":336590,"corporation":false,"usgs":false,"family":"White","given":"Kevin","email":"","affiliations":[{"id":80796,"text":"1Program on the Environment, University of Alaska Southeast; 2Department of Geography, University of Victoria; 3Division of Wildlife Conservation, Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":912907,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Levi, Taal","contributorId":191295,"corporation":false,"usgs":false,"family":"Levi","given":"Taal","email":"","affiliations":[],"preferred":false,"id":912908,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hood, Eran W.","contributorId":198165,"corporation":false,"usgs":false,"family":"Hood","given":"Eran","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":912909,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wolken, Gabriel J.","contributorId":221149,"corporation":false,"usgs":false,"family":"Wolken","given":"Gabriel","email":"","middleInitial":"J.","affiliations":[{"id":40336,"text":"Alaska Department of Natural Resources: Division of Geological and Geophysical Surveys","active":true,"usgs":false}],"preferred":false,"id":912910,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peitzsch, Erich H. 0000-0001-7624-0455 epeitzsch@usgs.gov","orcid":"https://orcid.org/0000-0001-7624-0455","contributorId":3786,"corporation":false,"usgs":true,"family":"Peitzsch","given":"Erich","email":"epeitzsch@usgs.gov","middleInitial":"H.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":912911,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Buhler, Yves 0000-0002-0815-2717","orcid":"https://orcid.org/0000-0002-0815-2717","contributorId":336591,"corporation":false,"usgs":false,"family":"Buhler","given":"Yves","email":"","affiliations":[{"id":80797,"text":"WSL Institute for Snow and Avalanche Research SLF","active":true,"usgs":false}],"preferred":false,"id":912912,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wikstrom Jones, Katreen","contributorId":331515,"corporation":false,"usgs":false,"family":"Wikstrom Jones","given":"Katreen","email":"","affiliations":[{"id":16126,"text":"Alaska Division of Geological and Geophysical Surveys","active":true,"usgs":false}],"preferred":false,"id":912913,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Darimont, Chris","contributorId":336592,"corporation":false,"usgs":false,"family":"Darimont","given":"Chris","email":"","affiliations":[{"id":80799,"text":"Department of Geography, University of Victoria","active":true,"usgs":false}],"preferred":false,"id":912914,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70263730,"text":"70263730 - 2024 - Application of non-stationary shear-wave velocity randomization approach to predict 1D seismic site response and its variability at two downhole array recordings","interactions":[],"lastModifiedDate":"2025-02-20T16:44:12.502285","indexId":"70263730","displayToPublicDate":"2024-09-01T10:34:48","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3418,"text":"Soil Dynamics and Earthquake Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Application of non-stationary shear-wave velocity randomization approach to predict 1D seismic site response and its variability at two downhole array recordings","docAbstract":"<p><span>Accounting for uncertainties in seismic site response is crucial to improving the performance of one-dimensional (1D) ground response analyses (GRAs) at downhole array recording sites. In addition to site effects, uncertainties in 1D-GRAs can also be contributed from the seismic source and/or path. Though often representing not more than one percent of the distance (path) from the source, site conditions are known to have an enormous influence on ground shaking. In this study, we focus on the site shear-wave velocity (</span><i>V</i><sub><i>S</i></sub><span>) structure, which is the main ingredient for estimating the variability of site response. As such,&nbsp;</span><i>V</i><sub><i>S</i></sub><span>&nbsp;can manifest aleatory uncertainties related to the effects of small-scale spatial heterogeneities within the near surface, thus&nbsp;</span><i>V</i><sub><i>S</i></sub><span>&nbsp;can substantially modify ground shaking during earthquakes. We apply a novel&nbsp;</span><i>V</i><sub><i>S</i></sub><span>&nbsp;randomization approach to propagate the small-scale heterogeneities of&nbsp;</span><i>V</i><sub><i>S</i></sub><span>&nbsp;to estimate seismic site response within a non-stationary probabilistic framework. The randomization approach generates samples of&nbsp;</span><i>V</i><sub><i>S</i></sub><span>&nbsp;profiles that are used to perform several 1D-GRAs and obtain an averaged site response and related variability. The proposed method is implemented on data recorded at two downhole array sites with different subsurface soil conditions: a soft soil site on Treasure Island (California, United States of America) and a rock outcrop site in Cadarache (South-East France). We show that synthetic surface-to-borehole transfer functions from 1D-GRAs provide an acceptable fit to the empirical transfer functions from low-motion earthquake records and succeed in reproducing most of the site-specific seismic response variability. The remaining mismatch between transfer functions is likely due to insufficient precision on the seismic bedrock and the impedance contrast. The variability in site response is discussed with emphasis on the role of&nbsp;</span><i>V</i><sub><i>S</i></sub><span>&nbsp;small-scale heterogeneities, attenuation, and input motion incidence angle in ground motion variability for the site and soil conditions at both locations.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.soildyn.2024.108945","usgsCitation":"Youssef, E., Cornou, C., Youssef Abdel Massih, D., Al-Bittar, T., Yong, A., and Hollender, F., 2024, Application of non-stationary shear-wave velocity randomization approach to predict 1D seismic site response and its variability at two downhole array recordings: Soil Dynamics and Earthquake Engineering, v. 106, 100945, 15 p., https://doi.org/10.1016/j.soildyn.2024.108945.","productDescription":"100945, 15 p.","ipdsId":"IP-160514","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":489887,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.soildyn.2024.108945","text":"Publisher Index Page"},{"id":482283,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"France, United States","state":"California","city":"Saint-Paul-lez-Durance","otherGeospatial":"Cadarache downhole array, Treasure Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.38,\n              37.83\n            ],\n            [\n              -122.38,\n              37.805\n            ],\n            [\n              -122.36,\n              37.805\n            ],\n            [\n              -122.36,\n              37.83\n            ],\n            [\n              -122.38,\n              37.83\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              0,\n              45\n            ],\n            [\n              0,\n              42\n            ],\n            [\n              6,\n              42\n            ],\n            [\n              6,\n              45\n            ],\n            [\n              0,\n              45\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"106","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Youssef, Eliane","contributorId":351145,"corporation":false,"usgs":false,"family":"Youssef","given":"Eliane","affiliations":[{"id":55486,"text":"University of Grenoble, France","active":true,"usgs":false}],"preferred":false,"id":927979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cornou, Cecile","contributorId":351146,"corporation":false,"usgs":false,"family":"Cornou","given":"Cecile","affiliations":[{"id":55486,"text":"University of Grenoble, France","active":true,"usgs":false}],"preferred":false,"id":927980,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Youssef Abdel Massih, Dalia","contributorId":351147,"corporation":false,"usgs":false,"family":"Youssef Abdel Massih","given":"Dalia","affiliations":[{"id":83927,"text":"Lebanese University, Lebanon","active":true,"usgs":false}],"preferred":false,"id":927981,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Al-Bittar, Tamara","contributorId":351148,"corporation":false,"usgs":false,"family":"Al-Bittar","given":"Tamara","affiliations":[{"id":83927,"text":"Lebanese University, Lebanon","active":true,"usgs":false}],"preferred":false,"id":927982,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yong, Alan 0000-0003-1807-5847","orcid":"https://orcid.org/0000-0003-1807-5847","contributorId":204730,"corporation":false,"usgs":true,"family":"Yong","given":"Alan","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927983,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hollender, Fabrice","contributorId":351149,"corporation":false,"usgs":false,"family":"Hollender","given":"Fabrice","affiliations":[{"id":83928,"text":"French Alternative Energies and Atomic Energy Commission","active":true,"usgs":false}],"preferred":false,"id":927984,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70258124,"text":"70258124 - 2024 - Modelling effects of flow withdrawal scenarios on riverine and riparian features of the Yampa River in Dinosaur National Monument","interactions":[],"lastModifiedDate":"2024-09-05T14:46:08.713522","indexId":"70258124","displayToPublicDate":"2024-09-01T09:39:32","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":18517,"text":"Science Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SR-2024-178","title":"Modelling effects of flow withdrawal scenarios on riverine and riparian features of the Yampa River in Dinosaur National Monument","docAbstract":"<p>The National Park Service (NPS) is charged with maintaining natural riverine resources and processes in its parks along the Yampa River and downstream along the Green River. This mission requires information on how proposed water withdrawals would affect resources. We present a methodology that quantifies the impact on natural riverine and riparian features of Dinosaur National Monument based on alternative withdrawals that vary in volume and timing. This methodology uses a reverse quantification and develops tools to enable the NPS to ensure that if withdrawals must occur, the adverse impacts would be minimized by prescribing or constraining the timing, magnitude, and duration of withdrawal. The reverse quantification, well-suited for unregulated rivers such as the Yampa, strives to protect all flows minus extractions from daily flows based on three parameters: 1) a minimum flow, below which water diversion does not occur; 2) the percentage of the flow above the minimum that is diverted; 3) the maximum daily flow that is diverted. We apply 350 flow extraction scenarios, each defined by a unique set of parameters, to the 99 historic annual hydrographs of daily flows (water year (WY) 1922–2020), and to the more recent 20 years (WY 2001–2020). We also consider how hydrologic year type (wet to dry) influences the flow volume extracted and impact to the resource. Recognizing the seasonal differences in flow and ecological and geomorphic response, we divide each year into four distinct seasonal periods and use relations from the literature between flow, channel change, riparian vegetation and fish behavior, physiology, and habitat to define hydrograph and resource metrics used to evaluate impacts to the resource. While our analysis demonstrates that all withdrawals will damage the resource, extractions during the Early Runoff Period (March 15 – April 30) are least detrimental and extractions during the Summer Baseflow Period (July 16 – October 31) are most detrimental. We find that most aspects of the resource are more sensitive to increasing extractions during drier years than during wetter years. Recent decades have seen a shift towards more frequent drier years, resulting in less water in most periods. As a result, our analysis suggests that extractions in recent decades would have had a greater impact on the resource when compared to similar extractions during the full historical record. Finally, we demonstrate how the NPS may use these results to develop limits on extractions for resource protection. </p>","language":"English","publisher":"National Park Service","doi":"10.36967/2305338","usgsCitation":"Diehl, R., and Friedman, J.M., 2024, Modelling effects of flow withdrawal scenarios on riverine and riparian features of the Yampa River in Dinosaur National Monument: Science Report NPS/SR-2024-178, ix, 61 p., https://doi.org/10.36967/2305338.","productDescription":"ix, 61 p.","ipdsId":"IP-147809","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":433500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Utah","otherGeospatial":"Dinosaur National Monument, Yampa River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -109.34123049693821,\n              40.54854333761875\n            ],\n            [\n              -109.34123049693821,\n              40.4021164901732\n            ],\n            [\n              -108.48839549264547,\n              40.4021164901732\n            ],\n            [\n              -108.48839549264547,\n              40.54854333761875\n            ],\n            [\n              -109.34123049693821,\n              40.54854333761875\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Diehl, Rebecca","contributorId":343881,"corporation":false,"usgs":false,"family":"Diehl","given":"Rebecca","email":"","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":912266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":44495,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":912267,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70266733,"text":"70266733 - 2024 - Scale‐dependent population drivers inform avian management in a declining saline lake ecosystem","interactions":[],"lastModifiedDate":"2025-05-12T14:28:10.171398","indexId":"70266733","displayToPublicDate":"2024-09-01T09:18:03","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Scale‐dependent population drivers inform avian management in a declining saline lake ecosystem","docAbstract":"<p><span>Shrinking saline lakes provide irreplaceable habitat for waterbird species globally. Disentangling the effects of wetland habitat loss from other drivers of waterbird population dynamics is critical for protecting these species in the face of unprecedented changes to saline lake ecosystems, ideally through decision-making frameworks that identify effective management options and their potential outcomes. Here, we develop a framework to assess the effects of hypothesized population drivers and identify potential future outcomes of plausible management scenarios on a saline lake-reliant waterbird species. We use 36 years of monitoring data to quantify the effects of environmental conditions on the population size of a regionally important breeding colony of American white pelicans (</span><i>Pelecanus erythrorhynchos</i><span>) at Great Salt Lake, Utah, US, then forecast colony abundance under various management scenarios. We found that low lake levels, which allow terrestrial predators access to the colony, are probable drivers of recent colony declines. Without local management efforts, we predicted colony abundance could likely decline approximately 37.3% by 2040, although recent colony observations suggest population declines may be more extreme than predicted. Results from our population projection scenarios suggested that proactive approaches to preventing predator colony access and reversing saline lake declines are crucial for the persistence of the Great Salt Lake pelican colony. Increasing wetland habitat and preventing predator access to the colony together provided the most effective protection, increasing abundance 145.4% above projections where no management actions are taken, according to our population projection scenarios. Given the importance of water levels to the persistence of island-nesting colonial species, proactive approaches to reversing saline lake declines could likely benefit pelicans as well as other avian species reliant on these unique ecosystems.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.3021","usgsCitation":"Van Tatenhove, A., Neill, J., Norvell, R., Stuber, E.F., and Rushing, C., 2024, Scale‐dependent population drivers inform avian management in a declining saline lake ecosystem: Ecological Applications, v. 34, no. 7, e3021, 14 p., https://doi.org/10.1002/eap.3021.","productDescription":"e3021, 14 p.","ipdsId":"IP-154179","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":505456,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.usu.edu/wild_facpub/3272","text":"External Repository"},{"id":485709,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Great Salt Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -113.19271300986851,\n              41.73273309975224\n            ],\n            [\n              -113.19271300986851,\n              40.558106500816905\n            ],\n            [\n              -111.76650863756069,\n              40.558106500816905\n            ],\n            [\n              -111.76650863756069,\n              41.73273309975224\n            ],\n            [\n              -113.19271300986851,\n              41.73273309975224\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"34","issue":"7","noUsgsAuthors":false,"publicationDate":"2024-09-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Tatenhove, Aimee M.","contributorId":354882,"corporation":false,"usgs":false,"family":"Van Tatenhove","given":"Aimee M.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":936621,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neill, John","contributorId":354883,"corporation":false,"usgs":false,"family":"Neill","given":"John","affiliations":[{"id":49122,"text":"Utah Division of Wildlife Resources","active":true,"usgs":false}],"preferred":false,"id":936622,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Norvell, Russell E.","contributorId":354884,"corporation":false,"usgs":false,"family":"Norvell","given":"Russell E.","affiliations":[{"id":49122,"text":"Utah Division of Wildlife Resources","active":true,"usgs":false}],"preferred":false,"id":936623,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stuber, Erica Francis 0000-0002-2687-6874","orcid":"https://orcid.org/0000-0002-2687-6874","contributorId":298084,"corporation":false,"usgs":true,"family":"Stuber","given":"Erica","email":"","middleInitial":"Francis","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":936624,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rushing, Clark S.","contributorId":354886,"corporation":false,"usgs":false,"family":"Rushing","given":"Clark S.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":936625,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70253083,"text":"70253083 - 2024 - Airborne gamma-ray spectrometry inversion signatures of Hicks Dome area","interactions":[],"lastModifiedDate":"2024-09-16T13:53:27.215736","indexId":"70253083","displayToPublicDate":"2024-09-01T08:38:54","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Airborne gamma-ray spectrometry inversion signatures of Hicks Dome area","docAbstract":"<p>No abstract available.</p>","conferenceTitle":"SEG/IMAGE '24 the International Meeting for Applied Geoscience & Energy","conferenceDate":"August 26-29, 2024","conferenceLocation":"Houston, TX","language":"English","publisher":"AAPG","usgsCitation":"Weihermann, J., Li, Y., and McCafferty, A.E., 2024, Airborne gamma-ray spectrometry inversion signatures of Hicks Dome area, SEG/IMAGE '24 the International Meeting for Applied Geoscience & Energy, Houston, TX, August 26-29, 2024, 4 p.","productDescription":"4 p.","ipdsId":"IP-164021","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":434775,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","otherGeospatial":"Hicks Dome","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.5,\n              37.75\n            ],\n            [\n              -88.5,\n              37.45\n            ],\n            [\n              -88.15,\n              37.45\n            ],\n            [\n              -88.15,\n              37.75\n            ],\n            [\n              -88.5,\n              37.75\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Weihermann, Jessica","contributorId":335668,"corporation":false,"usgs":false,"family":"Weihermann","given":"Jessica","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":899106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, Yaoguo","contributorId":335669,"corporation":false,"usgs":false,"family":"Li","given":"Yaoguo","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":899107,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCafferty, Anne E. 0000-0001-5574-9201 anne@usgs.gov","orcid":"https://orcid.org/0000-0001-5574-9201","contributorId":1120,"corporation":false,"usgs":true,"family":"McCafferty","given":"Anne","email":"anne@usgs.gov","middleInitial":"E.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":899108,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70273467,"text":"70273467 - 2024 - 6PPD & 6PPD-quinone","interactions":[],"lastModifiedDate":"2026-01-15T16:38:21.618003","indexId":"70273467","displayToPublicDate":"2024-09-01T08:35:48","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"6PPD & 6PPD-quinone","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Interstate Technology & Regulatory Council","usgsCitation":"Interstate Technology & Regulatory Council, Grant, K., Williams, T., Brauner, S., Zambrana, J., Nancarrow, C., Garland, M., McCue, D., Smith, R., Lane, R.F., Bristol, M.R., and Reinis, S., 2024, 6PPD & 6PPD-quinone.","ipdsId":"IP-185072","costCenters":[{"id":84311,"text":"Central Plains Water Science Center","active":true,"usgs":true}],"links":[{"id":498654,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":498629,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://6ppd.itrcweb.org/about-itrc/"}],"noUsgsAuthors":false,"publicationDate":"2024-09-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Interstate Technology & Regulatory Council","contributorId":365170,"corporation":true,"usgs":false,"organization":"Interstate Technology & Regulatory Council","id":953861,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grant, Kelly","contributorId":365171,"corporation":false,"usgs":false,"family":"Grant","given":"Kelly","affiliations":[],"preferred":false,"id":953862,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Tanya","contributorId":365172,"corporation":false,"usgs":false,"family":"Williams","given":"Tanya","affiliations":[],"preferred":false,"id":953863,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brauner, Steven","contributorId":365173,"corporation":false,"usgs":false,"family":"Brauner","given":"Steven","affiliations":[],"preferred":false,"id":953864,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zambrana, Jose","contributorId":365174,"corporation":false,"usgs":false,"family":"Zambrana","given":"Jose","affiliations":[],"preferred":false,"id":953865,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nancarrow, Christine","contributorId":365175,"corporation":false,"usgs":false,"family":"Nancarrow","given":"Christine","affiliations":[],"preferred":false,"id":953866,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Garland, Michael","contributorId":365176,"corporation":false,"usgs":false,"family":"Garland","given":"Michael","affiliations":[],"preferred":false,"id":953867,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McCue, Dana","contributorId":365177,"corporation":false,"usgs":false,"family":"McCue","given":"Dana","affiliations":[],"preferred":false,"id":953868,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smith, Rhea","contributorId":365178,"corporation":false,"usgs":false,"family":"Smith","given":"Rhea","affiliations":[],"preferred":false,"id":953869,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lane, Rachael F. 0000-0001-9202-0612","orcid":"https://orcid.org/0000-0001-9202-0612","contributorId":222471,"corporation":false,"usgs":true,"family":"Lane","given":"Rachael","email":"","middleInitial":"F.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":953843,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bristol, Madison Rose","contributorId":365179,"corporation":false,"usgs":false,"family":"Bristol","given":"Madison","middleInitial":"Rose","affiliations":[],"preferred":false,"id":953870,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Reinis, Sigrida","contributorId":365180,"corporation":false,"usgs":false,"family":"Reinis","given":"Sigrida","affiliations":[],"preferred":false,"id":953871,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70266781,"text":"70266781 - 2024 - An invasive predator substantially alters energy flux without changing food web functional state or stability","interactions":[],"lastModifiedDate":"2025-05-14T13:19:21.365534","indexId":"70266781","displayToPublicDate":"2024-09-01T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":862,"text":"Aquatic Conservation: Marine and Freshwater Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"An invasive predator substantially alters energy flux without changing food web functional state or stability","docAbstract":"<p>Understanding how invasive species affect the stability and function of ecosystems is critical for conserving ecosystems. Here, we quantified the effect of an actively suppressed invasive species on the Yellowstone Lake, U.S.A. ecosystem using a food-web energetics approach. 2. We compared energy flux, functional state, and stability of four food web states: a pre-invasion network, and three post-invasion networks undergoing active invasive species suppression: initial invasion; expansion; decline. 3. Invasion caused &gt; 25% change (±) in energy flux for most consumers, and total flux increased twofold post-invasion. Flux to the species of conservation concern, Yellowstone cutthroat trout (<i>Oncorhynchus virginalis bouvieri</i>), was 2.8-times less post-invasion vs pre-invasion while invasive lake trout (<i>Salvelinus</i> <i>namaycush</i>) flux was up to 17.3-times higher compared to the initial invasion network. The dominant functional state and food web stability did not change post-invasion, likely due to introduction of a generalist predator and the stabilizing effect of suppression. 4. Lake trout invasion in Yellowstone Lake caused large changes to energy flux, shifting dominant fluxes away from the species of conservation concern, despite not changing functional state or stability. We demonstrate that changes in energy flux may signal invasions in ecosystems, but functional state or stability may not necessarily reflect the magnitude of invasion influences. 5. Implications for conservation: For invaded fish communities, a better understanding of how the invasive species controls the food web beyond just the direct influence on prey results can be achieved by investigating energy flux, functional state, and food-web stability. Furthermore, evaluating the effect of suppression beyond the invasive species can demonstrate the far-reaching value of suppression management actions for conservation.  </p>","language":"English","publisher":"Wiley","doi":"10.1002/aqc.4240","usgsCitation":"Glassic, H.C., Junker, J., Guy, C.S., Tronstad, L., Briggs, M., Albertson, L., Lujan, D., Brenden, T., Walsworth, T., and Koel, T., 2024, An invasive predator substantially alters energy flux without changing food web functional state or stability: Aquatic Conservation: Marine and Freshwater Ecosystems, v. 34, no. 9, e4240, 13 p., https://doi.org/10.1002/aqc.4240.","productDescription":"e4240, 13 p.","ipdsId":"IP-142967","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490119,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/aqc.4240","text":"Publisher Index Page"},{"id":485825,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.60879514397,\n              44.60338974481584\n            ],\n            [\n              -110.60879514397,\n              44.274195813940025\n            ],\n            [\n              -110.14554498797068,\n              44.274195813940025\n            ],\n            [\n              -110.14554498797068,\n              44.60338974481584\n            ],\n            [\n              -110.60879514397,\n              44.60338974481584\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"34","issue":"9","noUsgsAuthors":false,"publicationDate":"2024-09-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Glassic, Hayley Corrine 0000-0001-6839-1026","orcid":"https://orcid.org/0000-0001-6839-1026","contributorId":305858,"corporation":false,"usgs":true,"family":"Glassic","given":"Hayley","email":"","middleInitial":"Corrine","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":936761,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Junker, James R.","contributorId":355003,"corporation":false,"usgs":false,"family":"Junker","given":"James R.","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":936762,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":936763,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tronstad, Lusha M.","contributorId":355005,"corporation":false,"usgs":false,"family":"Tronstad","given":"Lusha M.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":936765,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Briggs, Michelle A.","contributorId":355006,"corporation":false,"usgs":false,"family":"Briggs","given":"Michelle A.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":936766,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Albertson, Lindsey K.","contributorId":355007,"corporation":false,"usgs":false,"family":"Albertson","given":"Lindsey K.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":936767,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lujan, Dominique R.","contributorId":355004,"corporation":false,"usgs":false,"family":"Lujan","given":"Dominique R.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":936764,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brenden, Travis O.","contributorId":355008,"corporation":false,"usgs":false,"family":"Brenden","given":"Travis O.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":936768,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Walsworth, Timothy","contributorId":355011,"corporation":false,"usgs":false,"family":"Walsworth","given":"Timothy","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":936769,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Koel, Todd M.","contributorId":355014,"corporation":false,"usgs":false,"family":"Koel","given":"Todd M.","affiliations":[{"id":81042,"text":"Native Fish Conservation Program","active":true,"usgs":false}],"preferred":false,"id":936770,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70266810,"text":"70266810 - 2024 - Seasonal movements between mainstem and tributaries may facilitate the persistence of Roundtail Chub and Flannelmouth Sucker within an altered stream system","interactions":[],"lastModifiedDate":"2025-05-13T16:03:51.297459","indexId":"70266810","displayToPublicDate":"2024-09-01T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12982,"text":"Transaction of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal movements between mainstem and tributaries may facilitate the persistence of Roundtail Chub and Flannelmouth Sucker within an altered stream system","docAbstract":"<p>Objective </p><p>Movement enables animals to complete their life history by responding to changing environmental conditions. Linking movement behaviors to life history characteristics can allow more targeted management applications for declining native fish populations. We identified seasonal movement patterns of Roundtail Chub <i>Gila robusta</i> and Flannelmouth Sucker <i>Catostomus latipinnis</i>, two understudied species that currently occupy only a portion of their historical range within the Colorado River Basin. </p><p>Methods </p><p>We coupled Passive Integrated Transponder tag antenna systems with multi-state capture-recapture models to quantify juvenile and adult movement between mainstem and tributary habitat within the Blacks Fork subbasin of southwest Wyoming, U.S.A. during 2019–2021. We also evaluated how flow and temperature may cue the timing of seasonal movements. </p><p>Result </p><p>Adults from both species made spring spawning movements to reach upstream tributary habitat, though adult Flannelmouth Sucker movements were more common and longer. Roundtail Chub primarily moved into the Hams Fork while Flannelmouth Sucker primarily moved into Muddy Creek, an intermittent tributary that was also identified as important for juvenile rearing. Juvenile movements occurred primarily during the fall months, with distance traveled comparable between species. Temperature and flow influenced the timing of spring spawning movements in adult Flannelmouth Sucker, with low flow potentially limiting access to preferred spawning habitat. </p><p>Conclusion </p><p>Identified movements likely contribute to Roundtail Chub and Flannelmouth Sucker persistence within this highly altered stream system and ultimately provide insights for management and recovery strategies to prevent further population declines.</p>","language":"English","publisher":"Wiley","doi":"10.1002/tafs.10489","usgsCitation":"Magruder, A., Barrile, G., Siddons, S.F., Walrath, J.D., and Walters, A.W., 2024, Seasonal movements between mainstem and tributaries may facilitate the persistence of Roundtail Chub and Flannelmouth Sucker within an altered stream system: Transaction of the American Fisheries Society, v. 153, no. 5, p. 644-659, https://doi.org/10.1002/tafs.10489.","productDescription":"16 p.","startPage":"644","endPage":"659","ipdsId":"IP-152541","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":497999,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/tafs.10489","text":"Publisher Index Page"},{"id":485828,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Blacks Fork subbasin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -109.78521909444135,\n              41.60984642142259\n            ],\n            [\n              -109.78521909444135,\n              41.45062453005164\n            ],\n            [\n              -109.43506299346544,\n              41.45062453005164\n            ],\n            [\n              -109.43506299346544,\n              41.60984642142259\n            ],\n            [\n              -109.78521909444135,\n              41.60984642142259\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"153","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-08-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Magruder, Alissa C.","contributorId":355068,"corporation":false,"usgs":false,"family":"Magruder","given":"Alissa C.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":936822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barrile, Gabriel M.","contributorId":288734,"corporation":false,"usgs":false,"family":"Barrile","given":"Gabriel M.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":936823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Siddons, Stephen F.","contributorId":172276,"corporation":false,"usgs":false,"family":"Siddons","given":"Stephen","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":936824,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walrath, John D.","contributorId":204718,"corporation":false,"usgs":false,"family":"Walrath","given":"John","email":"","middleInitial":"D.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":936968,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":936825,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70266857,"text":"70266857 - 2024 - Revised timing of rapid exhumation in the West Qinling: Implications for geodynamics of Oligocene-Miocene Tibetan plateau outward expansion","interactions":[],"lastModifiedDate":"2025-05-13T15:58:30.230601","indexId":"70266857","displayToPublicDate":"2024-08-31T10:50:41","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Revised timing of rapid exhumation in the West Qinling: Implications for geodynamics of Oligocene-Miocene Tibetan plateau outward expansion","docAbstract":"<p><span>Two contrasting age models for initial mountain building in the northeastern (NE) Tibetan Plateau (Paleocene-early Eocene versus late Oligocene-early Miocene) have led to the debate on how the deformed continental lithosphere absorbs plate convergence in general. The initial compressional deformation in the West Qinling (WQL) of the NE Tibetan Plateau figures prominently in this ongoing debate. Here, apatite (U-Th)/He (AHe) thermochronology combined with geomorphological analysis are used to refine the onset of compressional deformation in the WQL. New AHe ages from two vertical transects and an updated reconstruction of an obliquely-tilted erosion surface document the accelerated exhumation in the northern WQL at 23-22 Ma, interpreted as the onset of north-vergent thrusting. The AHe results, together with sedimentary records in the intermontane and foreland basins, suggest that the entire WQL began experiencing compressional deformation in the late Oligocene-early Miocene. When integrated with previous studies, our findings show that the northern plateau boundary has not remained stationary since the collision, but has instead experienced ∼750 km of outward expansion during the late Oligocene to middle Miocene. This phase of rapid plateau growth is coeval with the ∼30–50 % reduction of the India-Eurasia convergence rate, which suggests that the increased gravitational potential energy of orogenic belts played a key role in plate motion changes.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2024.118966","usgsCitation":"Li, C., Zheng, D., Yu, J., Lease, R.O., Wang, Y., Pang, J., Wang, Y., Hao, Y., and Xu, Y., 2024, Revised timing of rapid exhumation in the West Qinling: Implications for geodynamics of Oligocene-Miocene Tibetan plateau outward expansion: Earth and Planetary Science Letters, v. 646, 118966, 9 p., https://doi.org/10.1016/j.epsl.2024.118966.","productDescription":"118966, 9 p.","ipdsId":"IP-165148","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":485826,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"Tibetan plateau","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              101.5,\n              36\n            ],\n            [\n              101.5,\n              35\n            ],\n            [\n              104,\n              35\n            ],\n            [\n              104,\n              36\n            ],\n            [\n              101.5,\n              36\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"646","noUsgsAuthors":false,"publicationDate":"2024-08-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Li, Chaopeng","contributorId":355149,"corporation":false,"usgs":false,"family":"Li","given":"Chaopeng","affiliations":[{"id":84718,"text":"Institute of Geology, China Earthquake Administration","active":true,"usgs":false}],"preferred":false,"id":936937,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zheng, Dewen","contributorId":355150,"corporation":false,"usgs":false,"family":"Zheng","given":"Dewen","affiliations":[{"id":84718,"text":"Institute of Geology, China Earthquake Administration","active":true,"usgs":false}],"preferred":false,"id":936938,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yu, Jingxing","contributorId":355151,"corporation":false,"usgs":false,"family":"Yu","given":"Jingxing","affiliations":[{"id":84718,"text":"Institute of Geology, China Earthquake Administration","active":true,"usgs":false}],"preferred":false,"id":936939,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lease, Richard O. 0000-0003-2582-8966 rlease@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-8966","contributorId":5098,"corporation":false,"usgs":true,"family":"Lease","given":"Richard","email":"rlease@usgs.gov","middleInitial":"O.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":936940,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Yizhou","contributorId":355152,"corporation":false,"usgs":false,"family":"Wang","given":"Yizhou","affiliations":[{"id":84718,"text":"Institute of Geology, China Earthquake Administration","active":true,"usgs":false}],"preferred":false,"id":936941,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pang, Jianzhang","contributorId":355153,"corporation":false,"usgs":false,"family":"Pang","given":"Jianzhang","affiliations":[{"id":84718,"text":"Institute of Geology, China Earthquake Administration","active":true,"usgs":false}],"preferred":false,"id":936942,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wang, Ying","contributorId":355154,"corporation":false,"usgs":false,"family":"Wang","given":"Ying","affiliations":[{"id":84718,"text":"Institute of Geology, China Earthquake Administration","active":true,"usgs":false}],"preferred":false,"id":936943,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hao, Yuqi","contributorId":355155,"corporation":false,"usgs":false,"family":"Hao","given":"Yuqi","affiliations":[{"id":84718,"text":"Institute of Geology, China Earthquake Administration","active":true,"usgs":false}],"preferred":false,"id":936944,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Xu, Yigang","contributorId":355156,"corporation":false,"usgs":false,"family":"Xu","given":"Yigang","affiliations":[{"id":84719,"text":"Guangzhou Institute of Geochemistry, Chinese Academy of Science","active":true,"usgs":false}],"preferred":false,"id":936945,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70258074,"text":"70258074 - 2024 - RegionGrow3D: A deterministic analysis for characterizing discrete three-dimensional landslide source areas on a regional scale","interactions":[],"lastModifiedDate":"2024-09-03T11:45:12.570817","indexId":"70258074","displayToPublicDate":"2024-08-31T06:43:19","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5739,"text":"Journal of Geophysical Research: Earth Surface","onlineIssn":"2169-9011","active":true,"publicationSubtype":{"id":10}},"title":"RegionGrow3D: A deterministic analysis for characterizing discrete three-dimensional landslide source areas on a regional scale","docAbstract":"<div class=\"article-section__content en main\"><p>Regional-scale characterization of shallow landslide hazards is important for reducing their destructive impact on society. These hazards are commonly characterized by (a) their location and likelihood using susceptibility maps, (b) landslide size and frequency using geomorphic scaling laws, and (c) the magnitude of disturbance required to cause landslides using initiation thresholds. Typically, this is accomplished through the use of inventories documenting the locations and triggering conditions of previous landslides. In the absence of comprehensive landslide inventories, physics-based slope stability models can be used to estimate landslide initiation potential and provide plausible distributions of landslide characteristics for a range of environmental and forcing conditions. However, these models are sometimes limited in their ability to capture key mechanisms tied to discrete three-dimensional (3D) landslide mechanics while possessing the computational efficiency required for broad-scale application. In this study, the RegionGrow3D (RG3D) model is developed to broadly simulate the area, volume, and location of landslides on a regional scale (≥1,000&nbsp;km<sup>2</sup>) using 3D, limit-equilibrium (LE)-based slope stability modeling. Furthermore, RG3D is incorporated into a susceptibility framework that quantifies landsliding uncertainty using a distribution of soil shear strengths and their associated probabilities, back-calculated from inventoried landslides using 3D LE-based landslide forensics. This framework is used to evaluate the influence of uncertainty tied to shear strength, rainfall scenarios, and antecedent soil moisture on potential landsliding and rainfall thresholds over a large region of the Oregon Coast Range, USA.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JF007815","usgsCitation":"Mathews, N.W., Leshchinksy, B., Mirus, B., Olsen, M.J., and Booth, A.M., 2024, RegionGrow3D: A deterministic analysis for characterizing discrete three-dimensional landslide source areas on a regional scale: Journal of Geophysical Research: Earth Surface, v. 129, no. 9, e2024JF007815, 29 p., https://doi.org/10.1029/2024JF007815.","productDescription":"e2024JF007815, 29 p.","ipdsId":"IP-156020","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":439184,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024jf007815","text":"Publisher Index Page"},{"id":434911,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1BSMGGD","text":"USGS data release","linkHelpText":"RegionGrow3D"},{"id":433400,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"129","issue":"9","noUsgsAuthors":false,"publicationDate":"2024-08-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Mathews, Nicolas Wahde 0000-0002-4647-4039","orcid":"https://orcid.org/0000-0002-4647-4039","contributorId":343797,"corporation":false,"usgs":true,"family":"Mathews","given":"Nicolas","email":"","middleInitial":"Wahde","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":912017,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leshchinksy, Ben 0000-0003-3890-1368","orcid":"https://orcid.org/0000-0003-3890-1368","contributorId":297919,"corporation":false,"usgs":false,"family":"Leshchinksy","given":"Ben","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":912018,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mirus, Benjamin B. 0000-0001-5550-014X","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":267912,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":912019,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olsen, Michael J. 0000-0002-2989-5309","orcid":"https://orcid.org/0000-0002-2989-5309","contributorId":343799,"corporation":false,"usgs":false,"family":"Olsen","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":912020,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Booth, Adam M. 0000-0002-7339-0594","orcid":"https://orcid.org/0000-0002-7339-0594","contributorId":241907,"corporation":false,"usgs":false,"family":"Booth","given":"Adam","email":"","middleInitial":"M.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":912021,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70258079,"text":"70258079 - 2024 - Shifting sands: The influence of coral reefs on shoreline erosion from short-term storm protection to long-term disequilibrium","interactions":[],"lastModifiedDate":"2024-09-04T11:41:24.32621","indexId":"70258079","displayToPublicDate":"2024-08-31T06:38:23","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18511,"text":"Nature-Based Solutions","active":true,"publicationSubtype":{"id":10}},"title":"Shifting sands: The influence of coral reefs on shoreline erosion from short-term storm protection to long-term disequilibrium","docAbstract":"<p>Climate change is exacerbating shoreline erosion and flooding, posing significant risks to coastal communities. Although traditional coastal defenses such as seawalls, dykes, and breakwaters offer protection from these hazards, their high environmental and economic costs are driving interest in cost-competitive nature-based solutions. Coral reef restoration is a nature-based solution that may be particularly apt to mitigate tropical coastal flooding and shoreline erosion while providing benefits to local tourism, fisheries, and nature. However, the novelty of this field requires studies demonstrating the benefits of reefs for coastal protection. While the flood protection benefits of reefs have been well-documented, their effects on shoreline erosion are comparatively less understood. Here, we investigate the effects of coral reefs on shoreline erosion by comparing tropical beach responses at short and long timescales, as well as identifying important reef structural features influencing coastal erosion rates. Our analyses leveraged two key datasets created in this study: the first derived from a literature review on short-term shoreline erosion due to storm events, and another compiling &gt;80 years of long-term erosion rates, bathymetry, habitat, and wave energy for the Hawaiian Islands of Kauaʻi, Oʻahu, and Maui. Our analyses reveal three key findings regarding the effects of reefs on shoreline erosion. Firstly, we find evidence for the role of reefs in mitigating shoreline erosion during storm events, with coral reef-protected beaches experiencing 97 % less beach volume loss than unprotected beaches. Secondly, a linear regression analysis demonstrates that coral reef structure and wave energy are important predictors of long-term shoreline erosion rates, explaining 34 % of the variation across the Hawaiian Islands. Consistent with prior research, we find beaches protected by coral reefs with shallow reef crests, wide reef flats, calmer offshore conditions, and positioned farther from the shore exhibit lower erosion rates than others. Finally, when comparing historical erosion rates of protected and unprotected beaches in Hawai'i, we find a seemingly incongruous pattern where coral reef-protected beaches eroded up to 2x faster than beaches without reefs. While the cause of the enhanced erosion is yet to be fully understood, a combination of coral reef structural degradation and sea-level rise is likely shifting the equilibrium profiles of reef-protected beaches inshore. These results emphasize the role of coral reefs in reducing coastal erosion during storm events while revealing contrasting erosion patterns over long timescales. Future studies would ideally broaden the scope to include various regions, utilize advanced sediment transport models, and undertake field experiments to deepen our understanding of coral reef-coupled shoreline dynamics.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.nbsj.2024.100174","usgsCitation":"Bitterwolf, S., Reguero, B., Storlazzi, C.D., and Beck, M.W., 2024, Shifting sands: The influence of coral reefs on shoreline erosion from short-term storm protection to long-term disequilibrium: Nature-Based Solutions, v. 6, no. 6, 100174, 8 p., https://doi.org/10.1016/j.nbsj.2024.100174.","productDescription":"100174, 8 p.","ipdsId":"IP-167854","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":466942,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.nbsj.2024.100174","text":"Publisher Index Page"},{"id":433437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bitterwolf, Stephan","contributorId":245650,"corporation":false,"usgs":false,"family":"Bitterwolf","given":"Stephan","email":"","affiliations":[{"id":17620,"text":"UCSC","active":true,"usgs":false}],"preferred":false,"id":912035,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reguero, Borja","contributorId":264485,"corporation":false,"usgs":false,"family":"Reguero","given":"Borja","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":912036,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":912037,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beck, Michael W.","contributorId":259298,"corporation":false,"usgs":false,"family":"Beck","given":"Michael","email":"","middleInitial":"W.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":true,"id":912038,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70257629,"text":"ofr20231053 - 2024 - Learning from a high-severity fire event—Conditions following the 2018 Carr Fire at Whiskeytown National Recreation Area","interactions":[],"lastModifiedDate":"2026-01-28T17:31:19.551324","indexId":"ofr20231053","displayToPublicDate":"2024-08-30T12:45:57","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-1053","displayTitle":"Learning from a High-Severity Fire Event: Conditions Following the 2018 Carr Fire at Whiskeytown National Recreation Area","title":"Learning from a high-severity fire event—Conditions following the 2018 Carr Fire at Whiskeytown National Recreation Area","docAbstract":"<p>The 2018 Carr Fire burned more than 90 percent of Whiskeytown National Recreation Area, with much of the park burning at high severity. California yellow pine and mixed conifer forests are not well adapted to large, high-severity fires, and forest recovery after these events may be problematic. Large, high-severity fire patches pose difficulties for recruitment with interiors that are long distances from potential seed trees and may develop fuel structures that can promote further high-severity fire. This report details patterns of forest structure derived from field plots measured 2–3 years after the Carr Fire, providing a characterization of immediate fire effects. We coupled these observations with remotely sensed information, including data collected from unoccupied aircraft system surveys. The remotely sensed data were used to depict erosion after the Carr Fire as well as to create a high-resolution land cover classification map, a debris flow risk map and hazard assessment, and a post-fire canopy vegetation loss map. Results indicated high levels of tree mortality after the Carr Fire, including high-value old growth forest stands, supporting remotely sensed assessments of fire severity. The high-resolution tree mortality model also aligned well with other remotely sensed estimates of immediate burn severity. Results of the land cover classification illustrated the high percentage of dead vegetation remaining in the understory and canopy 8 months post-fire. Changes in vegetation height identified areas with canopy vegetation loss from 1- to 8-months post-fire. Pairing the post-fire debris accumulation with debris flow probabilities may identify high-risk debris flow areas. The results of this study will help inform future decisions concerning wildland fire and vegetation management strategies at Whiskeytown National Recreation Area and are broadly relevant for management in the aftermath of large, high-severity fires in mixed, dry coniferous forests in the western United States.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231053","collaboration":"Prepared in cooperation with the National Park Service","programNote":"Ecosystems Mission Area—Land Change Science Program","usgsCitation":"van Mantgem, P.J., Wright, M.C., Thorne, K.M., Beckmann, J., Buffington, K., Rankin, L.L., Colley, A., and Engber, E.A., 2024, Learning from a high-severity fire event—Conditions following the 2018 Carr Fire at Whiskeytown National Recreation Area: U.S. Geological Survey Open-File Report 2023–1053, 52 p., https://doi.org/10.3133/ofr20231053.","productDescription":"Report: viii, 52 p.; 2 Data Releases","numberOfPages":"52","onlineOnly":"Y","ipdsId":"IP-145882","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":499189,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117307.htm","linkFileType":{"id":5,"text":"html"}},{"id":432970,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231053/full"},{"id":432965,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97Y21L1","text":"USGS Data Release","description":"Wright, M.C., Engber, E., and van Mantgem, P.J., 2024, Forest conditions following the 2018 Carr Fire at Whiskeytown National Recreation Area: U.S. Geological Survey data release, available at https://doi.org/10.5066/P97Y21L1.","linkHelpText":"Forest conditions following the 2018 Carr Fire at Whiskeytown National Recreation Area"},{"id":432964,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GS9V1J","text":"USGS Data Release","description":"Thorne, K.M., Freeman, C.M., and Rankin, L.L., 2024, UAS imagery at Whiskeytown National Recreation Area in 2018 and 2019 following the Carr Fire: U.S. Geological Survey data release, available at https://doi.org/10.5066/P9GS9V1J.","linkHelpText":"UAS imagery at Whiskeytown National Recreation Area in 2018 and 2019 following the Carr Fire"},{"id":432969,"rank":6,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1053/images"},{"id":432968,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1053/ofr20231053.xml"},{"id":432967,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1053/ofr20231053.pdf","text":"Report","size":"16 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":432966,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1053/covrthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Whiskeytown National Recreation Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.82661214645721,\n              40.425804364692084\n            ],\n            [\n              -122.42999478567339,\n              40.425804364692084\n            ],\n            [\n              -122.42999478567339,\n              40.713227651132485\n            ],\n            [\n              -122.82661214645721,\n              40.713227651132485\n            ],\n            [\n              -122.82661214645721,\n              40.425804364692084\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/werc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/werc\">Western Ecological Research Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>3020 State University Drive East<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Summary</li><li>References Cited</li><li>Glossary</li><li>Appendix 1. Unoccupied Aircraft System Imagery</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2024-08-30","noUsgsAuthors":false,"publicationDate":"2024-08-30","publicationStatus":"PW","contributors":{"authors":[{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":204320,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":911102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Micah C. 0000-0002-5324-1110","orcid":"https://orcid.org/0000-0002-5324-1110","contributorId":229071,"corporation":false,"usgs":true,"family":"Wright","given":"Micah","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":911103,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thorne, Karen M. 0000-0002-1381-0657 kthorne@usgs.gov","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":4191,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen","email":"kthorne@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":911104,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beckmann, Jill 0000-0001-9819-7777","orcid":"https://orcid.org/0000-0001-9819-7777","contributorId":303252,"corporation":false,"usgs":false,"family":"Beckmann","given":"Jill","email":"","affiliations":[{"id":65729,"text":"Northern Arizona University; USGS","active":true,"usgs":false}],"preferred":true,"id":911105,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buffington, Kevin J. 0000-0001-9741-1241 kbuffington@usgs.gov","orcid":"https://orcid.org/0000-0001-9741-1241","contributorId":4775,"corporation":false,"usgs":true,"family":"Buffington","given":"Kevin","email":"kbuffington@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":911106,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rankin, Lyndsay L. 0000-0003-4968-1946","orcid":"https://orcid.org/0000-0003-4968-1946","contributorId":332147,"corporation":false,"usgs":true,"family":"Rankin","given":"Lyndsay","email":"","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":911107,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Colley, Audrey","contributorId":343451,"corporation":false,"usgs":false,"family":"Colley","given":"Audrey","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":911108,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Engber, Eamon A.","contributorId":256704,"corporation":false,"usgs":false,"family":"Engber","given":"Eamon","email":"","middleInitial":"A.","affiliations":[{"id":51834,"text":"National Park Service, Redwood National Park, 121200 HWY 101 Orick CA 95555","active":true,"usgs":false}],"preferred":true,"id":911109,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70257895,"text":"fs20243035 - 2024 - June 2022 floods in the Upper Yellowstone River Basin","interactions":[],"lastModifiedDate":"2025-07-21T18:18:31.61113","indexId":"fs20243035","displayToPublicDate":"2024-08-30T11:32:44","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-3035","displayTitle":"June 2022 Floods in the Upper Yellowstone River Basin","title":"June 2022 floods in the Upper Yellowstone River Basin","docAbstract":"<p>Extraordinary floods surged down the Yellowstone River and its tributaries in northwestern Wyoming and south-central Montana on June 13–15, 2022. 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Warehouse</a></p>","tableOfContents":"<ul><li>Introduction</li><li>June 2022 Drought, Snowpack, and Precipitation</li><li>Flood Frequencies and Peak Timing</li><li>HWM Data on the USGS Flood Event Viewer</li><li>Historical Floods</li><li>Changes in Historical Peak Streamflows</li><li>Selected References</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-08-30","noUsgsAuthors":false,"publicationDate":"2024-08-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Chase, Katherine J. 0000-0002-5796-4148 kchase@usgs.gov","orcid":"https://orcid.org/0000-0002-5796-4148","contributorId":454,"corporation":false,"usgs":true,"family":"Chase","given":"Katherine","email":"kchase@usgs.gov","middleInitial":"J.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":911966,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dutton, DeAnn 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,{"id":70257894,"text":"fs20243024 - 2024 - Projected sea-level rise and high tide flooding at Biscayne National Park, Florida","interactions":[],"lastModifiedDate":"2026-01-27T18:03:04.758021","indexId":"fs20243024","displayToPublicDate":"2024-08-30T11:04:07","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-3024","displayTitle":"Projected Sea-Level Rise and High Tide Flooding at Biscayne National Park, Florida","title":"Projected sea-level rise and high tide flooding at Biscayne National Park, Florida","docAbstract":"<h1>Introduction</h1><p>National parks and preserves in the South Atlantic-Gulf Region contain valuable coastal habitats such as tidal wetlands and mangrove forests, as well as irreplaceable historic buildings and archeological sites located in low-lying areas. 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The maps produced for this effort can be used to assess potential habitat change and explore how infrastructure and cultural resources within the park may be exposed to future flooding-related hazards.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20243024","collaboration":"Prepared in collaboration with the National Park Service","usgsCitation":"Thurman, H.R., Enwright, N.M., Osland, M.J., Passeri, D.L., Day, R.H., Simons, B.M., Danielson, J.J., and Cushing, W.M., 2024, Projected sea-level rise and high tide flooding at Biscayne National Park, Florida: U.S. Geological Survey Fact Sheet 2024–3024, 6 p., https://doi.org/10.3133/fs20243024.","productDescription":"Report: 6 p.; Data Release","numberOfPages":"6","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-156837","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg 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2024-3023","linkHelpText":"- Projected Sea-Level Rise and High Tide Flooding at Dry Tortugas National Park, Florida"},{"id":433348,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2024/3024/coverthb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Biscayne National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.02512700796882,\n              25.761290873328747\n            ],\n            [\n              -80.20652874795097,\n              25.746219053334585\n            ],\n            [\n              -80.3416151500655,\n              25.65233220546078\n            ],\n            [\n              -80.44196504877935,\n              25.166577096317894\n            ],\n            [\n              -80.38664395077035,\n              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dayr@usgs.gov","orcid":"https://orcid.org/0000-0002-5959-7054","contributorId":2427,"corporation":false,"usgs":true,"family":"Day","given":"Richard","email":"dayr@usgs.gov","middleInitial":"H.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":911957,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Simons, Bethanie M. 0009-0002-1214-3239","orcid":"https://orcid.org/0009-0002-1214-3239","contributorId":331386,"corporation":false,"usgs":false,"family":"Simons","given":"Bethanie M.","affiliations":[{"id":63558,"text":"Cherokee Nation System Solutions, contracted to the U.S. Geological Survey, Wetland and Aquatic Research Center","active":true,"usgs":false}],"preferred":false,"id":911958,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Danielson, Jeffrey J. 0000-0003-0907-034X daniels@usgs.gov","orcid":"https://orcid.org/0000-0003-0907-034X","contributorId":3996,"corporation":false,"usgs":true,"family":"Danielson","given":"Jeffrey","email":"daniels@usgs.gov","middleInitial":"J.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":911959,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cushing, William M. 0000-0001-5209-6006","orcid":"https://orcid.org/0000-0001-5209-6006","contributorId":341859,"corporation":false,"usgs":true,"family":"Cushing","given":"William","email":"","middleInitial":"M.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":914892,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70257798,"text":"ofr20241050 - 2024 - Numerical modeling of circulation and wave dynamics along the shoreline of Shinnecock Indian Nation in Long Island, New York","interactions":[],"lastModifiedDate":"2026-01-29T19:52:53.83618","indexId":"ofr20241050","displayToPublicDate":"2024-08-30T09:49:35","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1050","displayTitle":"Numerical Modeling of Circulation and Wave Dynamics Along the Shoreline of Shinnecock Indian Nation in Long Island, New York","title":"Numerical modeling of circulation and wave dynamics along the shoreline of Shinnecock Indian Nation in Long Island, New York","docAbstract":"<p>The Shinnecock Indian Nation on Long Island, New York, faces challenges of shoreline retreat, saltwater intrusion, and flooding of the Tribal lands under changing climate and rising sea level. However, understanding of the dynamics of tidal circulation and waves and their impacts on the Shinnecock Indian Nation’s shoreline remains limited. This numerical study employs the integrated modeling capabilities of the hydrodynamic model Delft3D-FLOW and the spectral-wave model Simulating WAves Nearshore (SWAN) to investigate the circulation and wave dynamics along the shoreline of Shinnecock Indian Nation. The results of the 1-year long simulation indicate the majority of wind waves approach the Shinnecock Nation shorelines at normal wave angles, with yearly averaged offshore wave height of around 0.2 meter, maximum wave height reaching 0.65 meter, and yearly averaged offshore wave power of approximately 50 watts per meter. Boulders, acting as natural barriers, have been placed along the shoreline to reduce erosive wave forcing. Simulation results indicate the boulders to the north end effectively attenuate wave energy and reduce annual wave power, while the boulders near the two tidal ponds adjacent to the Tribal cemetery only have a slight influence on wave energy. There are large spatial variabilities in wave attenuation and current velocity reduction by the boulders. The model framework developed in this study can be utilized for the optimal design of nature-based solutions, guiding decisions on the placement of living shoreline structures and determining their optimal size. This study further identifies data and knowledge gaps as well as future research opportunities that can enhance the performance of numerical models and contribute to the scientific understanding of coastal processes and facilitate the optimal design of hybrid living shorelines in the future to achieve the maximum protective efficacy. This research can help to inform strategies for safeguarding vulnerable coastal communities and promoting resilience and sustainability of shoreline along the Shinnecock Indian Nation.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241050","issn":"2331-1258","collaboration":"Prepared in collaboration with Northeastern University","usgsCitation":"Zhu, L., Wang, H., Chen, Q., Capurso, W., and Noll, M., 2024, Numerical modeling of circulation and wave dynamics along the shoreline of Shinnecock Indian Nation in Long Island, New York: U.S. Geological Survey Open-File Report 2024–1050, 32 p., https://doi.org/10.3133/ofr20241050.","productDescription":"Report: viii, 32 p.; Data Release","numberOfPages":"44","onlineOnly":"Y","ipdsId":"IP-163925","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":434899,"rank":5,"type":{"id":39,"text":"HTML 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Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2024-08-30","noUsgsAuthors":false,"publicationDate":"2024-08-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhu, Ling 0000-0003-0261-6848","orcid":"https://orcid.org/0000-0003-0261-6848","contributorId":343688,"corporation":false,"usgs":false,"family":"Zhu","given":"Ling","email":"","affiliations":[{"id":40749,"text":"Northeastern University, Boston","active":true,"usgs":false}],"preferred":true,"id":911701,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Hongqing 0000-0002-2977-7732","orcid":"https://orcid.org/0000-0002-2977-7732","contributorId":222803,"corporation":false,"usgs":true,"family":"Wang","given":"Hongqing","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":911702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chen, Qin 0000-0002-6540-8758","orcid":"https://orcid.org/0000-0002-6540-8758","contributorId":343689,"corporation":false,"usgs":false,"family":"Chen","given":"Qin","email":"","affiliations":[{"id":40749,"text":"Northeastern University, Boston","active":true,"usgs":false}],"preferred":true,"id":911703,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Capurso, William 0000-0003-1182-2846","orcid":"https://orcid.org/0000-0003-1182-2846","contributorId":222170,"corporation":false,"usgs":true,"family":"Capurso","given":"William","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":911704,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Noll, Michael 0000-0003-2050-3134","orcid":"https://orcid.org/0000-0003-2050-3134","contributorId":343722,"corporation":false,"usgs":true,"family":"Noll","given":"Michael","affiliations":[{"id":474,"text":"New York Water Science 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,{"id":70258409,"text":"70258409 - 2024 - Distinguishing natural sources from anthropogenic noise in seismic data","interactions":[{"subject":{"id":70258409,"text":"70258409 - 2024 - Distinguishing natural sources from anthropogenic noise in seismic data","indexId":"70258409","publicationYear":"2024","noYear":false,"title":"Distinguishing natural sources from anthropogenic noise in seismic data"},"predicate":"SUPERSEDED_BY","object":{"id":70261631,"text":"70261631 - 2025 - Distinguishing natural sources from anthropogenic events in seismic data","indexId":"70261631","publicationYear":"2025","noYear":false,"title":"Distinguishing natural sources from anthropogenic events in seismic data"},"id":1}],"supersededBy":{"id":70261631,"text":"70261631 - 2025 - Distinguishing natural sources from anthropogenic events in seismic data","indexId":"70261631","publicationYear":"2025","noYear":false,"title":"Distinguishing natural sources from anthropogenic events in seismic data"},"lastModifiedDate":"2025-01-27T16:59:36.299953","indexId":"70258409","displayToPublicDate":"2024-08-30T09:05:54","publicationYear":"2024","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":18346,"text":"EarthArXiv","active":true,"publicationSubtype":{"id":32}},"title":"Distinguishing natural sources from anthropogenic noise in seismic data","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Earth ArXiv","doi":"10.31223/X59Q6Q","usgsCitation":"Maher, S., Glasgow, M.E., Cochran, E.S., and Peng, Z., 2024, Distinguishing natural sources from anthropogenic noise in seismic data: EarthArXiv, https://doi.org/10.31223/X59Q6Q.","productDescription":"18 p.","ipdsId":"IP-167863","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":439185,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.31223/x59q6q","text":"External Repository"},{"id":434829,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Maher, Sean","contributorId":265979,"corporation":false,"usgs":false,"family":"Maher","given":"Sean","affiliations":[{"id":54850,"text":"Department of Earth Science and Earth Research Institute, University of California, Santa Barbara, Santa Barbara, CA, USA","active":true,"usgs":false}],"preferred":false,"id":913230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glasgow, Margaret Elizabeth 0000-0001-5637-5918","orcid":"https://orcid.org/0000-0001-5637-5918","contributorId":340268,"corporation":false,"usgs":true,"family":"Glasgow","given":"Margaret","email":"","middleInitial":"Elizabeth","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":913231,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":913232,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peng, Zhigang","contributorId":199689,"corporation":false,"usgs":false,"family":"Peng","given":"Zhigang","email":"","affiliations":[],"preferred":false,"id":913233,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70257769,"text":"sir20235104 - 2024 - Estimated reductions in phosphorus loads from removal of leaf litter in the Lake Champlain drainage area, Vermont","interactions":[],"lastModifiedDate":"2026-01-30T18:20:39.416851","indexId":"sir20235104","displayToPublicDate":"2024-08-30T09:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5104","displayTitle":"Estimated Reductions in Phosphorus Loads From Removal of Leaf Litter in the Lake Champlain Drainage Area, Vermont","title":"Estimated reductions in phosphorus loads from removal of leaf litter in the Lake Champlain drainage area, Vermont","docAbstract":"<p>Excess nutrient loading and other factors are driving eutrophication and other negative effects on water-quality conditions in Lake Champlain and other receiving waters in Vermont. Two common best management practices were evaluated to determine how these practices can be optimized by targeting maintenance and operation to align better with seasonally driven needs, specifically to help municipalities remove a greater proportion of seasonal leaves and organic debris, reduce nutrient loading, and achieve water-quality goals.</p><p>To characterize solid materials typically removed by the municipal BMPs of catch-basin (CB) cleaning and street cleaning (SC), subsamples of CB and SC materials were collected each month from nine participating municipalities in central and northwestern Vermont between September 2017 and November 2018. Monthly and seasonal composites of CB and SC samples were created from the subsamples of available materials from all municipalities. Samples were analyzed for concentrations of total organic carbon, total Kjeldahl nitrogen, and total phosphorus (P), and separated into three particle-size fractions. Distribution of particle-size fractions was similar between CB and SC as both practices generally collect the coarser fraction of solid materials (greater than 125 micrometers in diameter). In the fall, however, the range of the coarser fraction of materials increased. This is attributed to the ability of SC to collect leaves and other light organic materials that commonly pass through a CB system designed to trap heavier materials.</p><p>Total organic carbon, total Kjeldahl nitrogen, and total P concentrations were highest in the catch-basin samples in the fall of 2017, and concentrations in the SC samples were highest in the fall of 2018. The collection of fewer samples in 2017 may account for some of the variability between fall 2017 and fall 2018 results. A subset of SC samples collected from piles representing specific street-cleaning routes in September and November 2018 were also analyzed. Materials collected in November were dominated by leaves, and the concentrations of the analyzed species of carbon, nitrogen, and phosphorus in some samples were more than double those in samples collected on the same street-cleaning routes in September.</p><p>The Vermont Department of Environmental Conservation and the University of Vermont developed estimates of load-reduction credits for CB and SC practices based on a policy developed by the Wisconsin Department of Natural Resources that determined the potential for credits associated with leaf-removal activities. This process also considered BMPs that were initiated during the U.S. Environmental Protection Agency’s Lake Champlain Basin Total Maximum Daily Load monitoring period (2000 to 2009) and adapted the Wisconsin Department of Natural Resources policies to apply to existing SC routes in the cooperating Vermont municipalities that possessed at least 17 percent tree cover. This exercise demonstrated that applying the Wisconsin Department of Natural Resources policy to existing street-cleaning routes possessing 17 percent or more tree cover would result in reductions in total P loads up to 65 percent of mandated target reductions, and about a 25 percent reduction on average.</p><p>Continuous simulations of stormwater runoff volume, and of loads of suspended sediments and total P, also were created for Englesby Brook Basin, an urbanized basin in Burlington and South Burlington that drains to Lake Champlain. Although the basin is more developed than the average of the nine cooperating municipalities, streamflow and P loading data collected by the U.S. Geological Survey were available to evaluate model performance. Simulations based on a year of average climatic conditions projected potential small reductions in total P of 0.08 to 0.10 percent as a result of CB cleaning and SC practices. Simulated weekly SC practices, however, reduced street-solid loads by as much as 7 percent. When the proportion of total P seen in fall SC materials collected in Vermont was applied to these simulated street-solid loads, estimated reductions of total P were about 29 percent. The combination of analytical results, estimated load-reduction credits, and simulated reductions indicate that targeted increases of SC activities to reduce leaf loading in the fall have the potential to reduce loading to receiving waters and could help regulated communities meet their water-quality goals.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235104","collaboration":"Prepared in cooperation with the Chittenden County Regional Planning Committee, the City of South Burlington, and the Vermont Department of Environmental Conservation","usgsCitation":"Sorenson, J.R., Pease, J.M., Foote, J.K., Chalmers, A.T., Ainley, D.H., and Williams, C.J., 2024, Estimated reductions in phosphorus loads from removal of leaf litter in the Lake Champlain drainage area, Vermont: U.S. Geological Survey Scientific Investigations Report 2023–5104, 46 p., https://doi.org/10.3133/sir20235104.","productDescription":"Report: viii, 46 p.; Data Release","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-121578","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":433177,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9A44LIX","text":"USGS data release","linkHelpText":"Data supporting phosphorus load-reduction estimates from leaf-litter removal in central and northwestern Vermont"},{"id":499382,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117265.htm","linkFileType":{"id":5,"text":"html"}},{"id":433176,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5104/sir20235104.XML","description":"SIR 2023-5104 XML"},{"id":433174,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235104/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2023-5104 HTML"},{"id":433173,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5104/sir20235104.pdf","text":"Report","size":"9.40 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5104 PDF"},{"id":433164,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5104/coverthb.jpg"},{"id":433175,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5104/images/"}],"country":"United States","state":"Vermont","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.3,\n              44.875\n            ],\n            [\n              -73.3,\n              44.15\n            ],\n            [\n              -72.5,\n              44.15\n            ],\n            [\n              -72.5,\n              44.875\n            ],\n            [\n              -73.3,\n              44.875\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_nweng@usgs.gov\" data-mce-href=\"mailto:dc_nweng@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/new-england-water\" data-mce-href=\"https://www.usgs.gov/centers/new-england-water\">New England Water Science Center</a><br>U.S. Geological Survey<br>10 Bearfoot Road<br>Northborough, MA 01532</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Effects of Leaf Litter Management on Phosphorus Loads</li><li>Study Area</li><li>Collection and Analysis of Samples</li><li>Potential Reductions in Phosphorus From Leaf Litter Management</li><li>Summary and Conclusions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke 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Conservation","active":true,"usgs":false}],"preferred":false,"id":911643,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Williams, Clayton J.","contributorId":138625,"corporation":false,"usgs":false,"family":"Williams","given":"Clayton J.","affiliations":[{"id":12468,"text":"Department of Ecology, Evolution and Organismal Biology, Iowa State University, Ames, IA","active":true,"usgs":false}],"preferred":false,"id":911644,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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