{"pageNumber":"119","pageRowStart":"2950","pageSize":"25","recordCount":165720,"records":[{"id":70258803,"text":"70258803 - 2025 - eZ flow metrics: Using z-scores to estimate deviations from natural flow in the Colorado River below Glen Canyon Dam","interactions":[],"lastModifiedDate":"2025-02-24T16:41:23.919215","indexId":"70258803","displayToPublicDate":"2024-08-08T08:55:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"eZ flow metrics: Using z-scores to estimate deviations from natural flow in the Colorado River below Glen Canyon Dam","docAbstract":"<p><span>River flow patterns are primary drivers of lotic ecosystems, and hundreds of metrics have been developed to quantify flow attributes. Although existing metrics have been a powerful tool in designing environmental flows, they are often developed with specific resources in mind and are rarely directly comparable with each other (i.e., units are often different). Here, we focus on natural flows as the resource of interest and develop z-score metrics that measure the naturalness of regulated flows, incorporating natural means and interannual variation. These “eZ metrics” summarize whole year, subdaily, and functional flow patterns as standard deviations from natural such that their values are directly comparable. We illustrate their utility with a case study from the Colorado River downstream of Glen Canyon Dam in Arizona, USA. We calculated metrics for 1964–2022, spanning greater than 5 decades of changing water policy, hydropower generation, and flow experimentation. We evaluate four options for estimating natural baseline flows. Across metrics, we found that subdaily stage variation deviated the most from baseline. Flows to satisfy regional water policy and power demands altered metrics more than designer flows (which target specific resource outcomes), and years with low water releases were closest to natural. Most of the designer flows have not made flow patterns more natural, due to incorrect seasonal timing, small magnitude, or short duration. By explicitly considering interannual variability and quantifying how regulated flows differ from natural using standard deviations, these metrics can inform management when the goal is to restore a natural flow regime.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.4360","usgsCitation":"Palmquist, E.C., Deemer, B., Metcalfe, A., Kennedy, T., Bair, L., Fairley, H.C., Grams, P.E., Sankey, J., and Yackulic, C., 2025, eZ flow metrics: Using z-scores to estimate deviations from natural flow in the Colorado River below Glen Canyon Dam: River Research and Applications, v. 41, no. 2, p. 252-267, https://doi.org/10.1002/rra.4360.","productDescription":"16 p.","startPage":"252","endPage":"267","ipdsId":"IP-162395","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":462279,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":466969,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.4360","text":"Publisher Index Page"}],"country":"United States","otherGeospatial":"Colorado River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -107.25997021967751,\n              44.61646777996336\n            ],\n            [\n              -117.9935707165599,\n              44.61646777996336\n            ],\n            [\n              -117.9935707165599,\n              31.561618648031384\n            ],\n            [\n              -107.25997021967751,\n              31.561618648031384\n            ],\n          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bdeemer@usgs.gov","orcid":"https://orcid.org/0000-0002-5845-1002","contributorId":198160,"corporation":false,"usgs":true,"family":"Deemer","given":"Bridget","email":"bdeemer@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":914085,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Metcalfe, Anya 0000-0002-6286-4889","orcid":"https://orcid.org/0000-0002-6286-4889","contributorId":221738,"corporation":false,"usgs":true,"family":"Metcalfe","given":"Anya","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":914086,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kennedy, Theodore 0000-0003-3477-3629","orcid":"https://orcid.org/0000-0003-3477-3629","contributorId":221741,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore","affiliations":[{"id":568,"text":"Southwest Biological 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,{"id":70262566,"text":"70262566 - 2025 - Balancing ecology and practicality to rank waterbodies for preventative invasive species management","interactions":[],"lastModifiedDate":"2025-01-21T16:38:29.384752","indexId":"70262566","displayToPublicDate":"2024-08-06T10:26:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9977,"text":"Ecological Solutions and Evidence","active":true,"publicationSubtype":{"id":10}},"title":"Balancing ecology and practicality to rank waterbodies for preventative invasive species management","docAbstract":"<ol class=\"\"><li>‘Early detection and rapid response’ (EDRR) is the most successful framework for preventative invasive species management, but prioritizing localized EDRR actions with limited resources is challenging. An approach that ranks individual locations, such as waterbodies, for EDRR by combining an invasive species' establishment risk with the practicality of managing it could help set reasonable priorities.</li><li>Here, we worked with regional practitioners in Arkansas, USA, and the broader Southeastern USA to co-produce a workflow for preventative aquatic invasive species management that (1) estimates establishment risk under current and future climates with a species distribution model, (2) scores waterbodies according to difficulty of eradicating an aquatic invasive species if it were introduced and (3) combines establishment risk and eradication difficulty scores to rank waterbodies according to preventative management priority. As our focal species, we used giant salvinia (<i>Salvinia molesta</i>), a floating aquatic fern ranked among the worst weeds in the world due to its negative socio-ecological impacts and difficulty to eradicate once established.</li><li>Current establishment risk is low for much of our study area, but under future climate scenarios (RCP 8.5), areas with &gt;60% giant salvinia establishment risk increased from 546 km<sup>2</sup><span>&nbsp;</span>to 30,219 km<sup>2</sup><span>&nbsp;</span>between 2023 and 2040 in Arkansas.</li><li>We found giant salvinia establishment risk and eradication difficulty are independent of each other (<i>r</i> = 0.28), and it follows that, alone, early detection tools such as species distribution models are insufficient for managers to prioritize sites for EDRR.</li><li><i>Practical implication</i>: We envision our approach fitting into a potential EDRR workflow that cascades from broad- to local-scale. To illustrate, (1) horizon scanning and/or climate matching generates lists of high-risk invasive species; (2) species lists are narrowed according to eradication feasibility scores; (3) for all remaining species, all waterbodies across a geography of interest receive prioritization rankings based on establishment risk and eradication difficulty scores. Given that climate change makes predicting invasive species' distributions a moving target, combining co-produced eradication difficulty scoring with species distribution modelling will balance rigour with practicality when prioritizing locations for EDRR.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1002/2688-8319.12362","usgsCitation":"Roberts, C.P., Grant, W., Horton, M., LaBrie, L.A., Peterson, M., Rogosch, J.S., and Wang, H., 2025, Balancing ecology and practicality to rank waterbodies for preventative invasive species management: Ecological Solutions and Evidence, v. 5, no. 3, e12362, 15 p., https://doi.org/10.1002/2688-8319.12362.","productDescription":"e12362, 15 p.","ipdsId":"IP-162789","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":481037,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2688-8319.12362","text":"Publisher Index Page"},{"id":480833,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Louisiana, Mississippi, Missouri, Oklahoma, Tennessee, Texas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.73568703255195,\n              28.607717311343364\n            ],\n            [\n              -88.37813816656555,\n              30.102428374066577\n            ],\n            [\n              -89.62246350130985,\n              30.416822742847643\n            ],\n            [\n              -89.83391270505314,\n              30.9795777752782\n            ],\n            [\n              -90.46723103123068,\n              31.793376454744887\n            ],\n            [\n              -88.34979350352083,\n              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University","active":true,"usgs":false}],"preferred":false,"id":924563,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horton, Matthew L.","contributorId":349675,"corporation":false,"usgs":false,"family":"Horton","given":"Matthew L.","affiliations":[{"id":81696,"text":"Arkansas Game & Fish Commission","active":true,"usgs":false}],"preferred":false,"id":924564,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LaBrie, Lindsey A.P.","contributorId":349677,"corporation":false,"usgs":false,"family":"LaBrie","given":"Lindsey","middleInitial":"A.P.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":924565,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peterson, Miranda R.","contributorId":349679,"corporation":false,"usgs":false,"family":"Peterson","given":"Miranda R.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":924566,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rogosch, Jane S. 0000-0002-1748-4991","orcid":"https://orcid.org/0000-0002-1748-4991","contributorId":317717,"corporation":false,"usgs":true,"family":"Rogosch","given":"Jane","middleInitial":"S.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":924567,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wang, Hsiao-Hsuan","contributorId":349683,"corporation":false,"usgs":false,"family":"Wang","given":"Hsiao-Hsuan","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":924568,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70267207,"text":"70267207 - 2025 - Climate-Smart Siting for renewable energy expansion","interactions":[],"lastModifiedDate":"2025-05-16T15:37:54.863378","indexId":"70267207","displayToPublicDate":"2024-08-03T08:32:17","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16668,"text":"iScience","active":true,"publicationSubtype":{"id":10}},"title":"Climate-Smart Siting for renewable energy expansion","docAbstract":"A massive expansion of renewable energy (RE) is underway to meet the world’s climate goals. Although RE serves to reduce threats from climate change, it can also pose threats to species whose current and future ranges intersect with RE installations. Here, we propose a “Climate-Smart Siting” framework for addressing potential conflicts between RE expansion and biodiversity conservation. The framework engenders authentic consultation with affected and disadvantaged communities throughout and uses overlay and optimization routines to identify focal areas now and in the future where RE development poses promise and peril as species’ ranges shift in response to climate change. We use this framework to demonstrate methods, identify decision outcomes, and discuss market-based levers for aligning RE expansion with the United Nations Global Biodiversity Framework now and as climate change progresses. In the face of the climate crisis, a Climate-Smart Siting strategy could help create solutions without causing further harm to biodiversity and human communities.","language":"English","publisher":"Elsevier","doi":"10.1016/j.isci.2024.110666","usgsCitation":"Ashraf, U., Morelli, T.L., Smith, A., and Hernandez, R., 2025, Climate-Smart Siting for renewable energy expansion: iScience, v. 27, no. 10, 110666, 16 p., https://doi.org/10.1016/j.isci.2024.110666.","productDescription":"110666, 16 p.","ipdsId":"IP-158335","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":490129,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.isci.2024.110666","text":"Publisher Index Page"},{"id":486074,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  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  -84.1,\n                30.09\n              ],\n              [\n                -85.10882,\n                29.63615\n              ],\n              [\n                -85.28784,\n                29.68612\n              ],\n              [\n                -85.7731,\n                30.15261\n              ],\n              [\n                -86.4,\n                30.4\n              ],\n              [\n                -87.53036,\n                30.27433\n              ],\n              [\n                -88.41782,\n                30.3849\n              ],\n              [\n                -89.18049,\n                30.31598\n              ],\n              [\n                -89.59383,\n                30.15999\n              ],\n              [\n                -89.41373,\n                29.89419\n              ],\n              [\n                -89.43,\n                29.48864\n              ],\n              [\n                -89.21767,\n                29.29108\n              ],\n              [\n                -89.40823,\n                29.15961\n              ],\n              [\n                -89.77928,\n                29.30714\n              ],\n              [\n                -90.15463,\n                29.11743\n              ],\n              [\n                -90.88022,\n                29.14854\n              ],\n              [\n                -91.62678,\n                29.677\n              ],\n              [\n                -92.49906,\n                29.5523\n              ],\n              [\n                -93.22637,\n                29.78375\n              ],\n              [\n                -93.84842,\n                29.71363\n              ],\n              [\n                -94.69,\n                29.48\n              ],\n              [\n                -95.60026,\n                28.73863\n              ],\n              [\n                -96.59404,\n                28.30748\n              ],\n              [\n                -97.14,\n                27.83\n              ],\n              [\n                -97.37,\n                27.38\n              ],\n              [\n                -97.38,\n                26.69\n              ],\n              [\n                -97.33,\n                26.21\n              ],\n              [\n                -97.14,\n                25.87\n              ],\n              [\n                -97.53,\n                25.84\n              ],\n              [\n                -98.24,\n                26.06\n              ],\n              [\n                -99.02,\n                26.37\n              ],\n              [\n                -99.3,\n                26.84\n              ],\n              [\n                -99.52,\n                27.54\n              ],\n              [\n                -100.11,\n                28.11\n              ],\n              [\n                -100.45584,\n                28.69612\n              ],\n              [\n                -100.9576,\n                29.38071\n              ],\n              [\n                -101.6624,\n                29.7793\n              ],\n              [\n                -102.48,\n                29.76\n              ],\n              [\n                -103.11,\n                28.97\n              ],\n              [\n                -103.94,\n                29.27\n              ],\n              [\n                -104.45697,\n                29.57196\n              ],\n              [\n                -104.70575,\n                30.12173\n              ],\n              [\n                -105.03737,\n                30.64402\n              ],\n              [\n                -105.63159,\n                31.08383\n              ],\n              [\n                -106.1429,\n                31.39995\n              ],\n              [\n                -106.50759,\n                31.75452\n              ],\n              [\n                -108.24,\n                31.75485\n              ],\n              [\n                -108.24194,\n                31.34222\n              ],\n              [\n                -109.035,\n                31.34194\n              ],\n              [\n                -111.02361,\n                31.33472\n              ],\n              [\n                -113.30498,\n                32.03914\n              ],\n              [\n                -114.815,\n                32.52528\n              ],\n              [\n                -114.72139,\n                32.72083\n              ],\n              [\n                -115.99135,\n                32.61239\n              ],\n              [\n                -117.12776,\n                32.53534\n              ],\n              [\n                -117.29594,\n                33.04622\n              ],\n              [\n                -117.944,\n                33.62124\n              ],\n              [\n                -118.4106,\n                33.74091\n              ],\n              [\n                -118.51989,\n                34.02778\n              ],\n              [\n                -119.081,\n                34.078\n              ],\n              [\n                -119.43884,\n                34.34848\n              ],\n              [\n                -120.36778,\n                34.44711\n              ],\n              [\n                -120.62286,\n                34.60855\n              ],\n              [\n                -120.74433,\n                35.15686\n              ],\n              [\n                -121.71457,\n                36.16153\n              ],\n              [\n                -122.54747,\n                37.55176\n              ],\n              [\n                -122.51201,\n                37.78339\n              ],\n              [\n                -122.95319,\n                38.11371\n              ],\n              [\n                -123.7272,\n                38.95166\n              ],\n              [\n                -123.86517,\n                39.76699\n              ],\n              [\n                -124.39807,\n                40.3132\n              ],\n              [\n                -124.17886,\n                41.14202\n              ],\n              [\n                -124.2137,\n                41.99964\n              ],\n              [\n                -124.53284,\n                42.76599\n              ],\n              [\n                -124.14214,\n                43.70838\n              ],\n              [\n                -124.02053,\n                44.6159\n              ],\n              [\n                -123.89893,\n                45.52341\n              ],\n              [\n                -124.07963,\n                46.86475\n              ],\n              [\n                -124.39567,\n                47.72017\n              ],\n              [\n                -124.68721,\n                48.18443\n              ],\n              [\n                -124.5661,\n                48.37971\n              ],\n              [\n                -123.12,\n                48.04\n              ],\n              [\n                -122.58736,\n                47.096\n              ],\n              [\n                -122.34,\n                47.36\n              ],\n              [\n                -122.5,\n                48.18\n              ],\n              [\n                -122.84,\n                49\n              ],\n              [\n                -120,\n                49\n              ],\n              [\n                -117.03121,\n                49\n              ],\n              [\n                -116.04818,\n                49\n              ],\n              [\n                -113,\n                49\n              ],\n              [\n                -110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","volume":"27","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ashraf, Uzma","contributorId":355418,"corporation":false,"usgs":false,"family":"Ashraf","given":"Uzma","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":937279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morelli, Toni Lyn 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":197458,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"Lyn","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":937280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Adam B.","contributorId":355419,"corporation":false,"usgs":false,"family":"Smith","given":"Adam B.","affiliations":[{"id":38790,"text":"Missouri Botanical Garden","active":true,"usgs":false}],"preferred":false,"id":937281,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hernandez, Rebecca","contributorId":355421,"corporation":false,"usgs":false,"family":"Hernandez","given":"Rebecca","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":937282,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70261766,"text":"70261766 - 2025 - How does the onset of offset influence geologic slip rates?","interactions":[],"lastModifiedDate":"2025-01-13T16:25:54.09362","indexId":"70261766","displayToPublicDate":"2024-07-31T09:48:50","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"How does the onset of offset influence geologic slip rates?","docAbstract":"<p><span>Geologic slip rates are typically based on the displacement accrued by a geomorphic or stratigraphic feature and the age of the offset feature. Because slip rates are commonly calculated by dividing the displacement of a faulted marker by its age, they contain two open time intervals: the elapsed time between the age of an offset feature and the age of the earthquake that displaced the feature, and the time between the present‐day and the most recent earthquake. Here, we explore the influence of including unconstrained open intervals in geologic slip rate calculations. We test the degree to which these open intervals affect geologic slip rates and their uncertainties, and we find that their influence depends primarily on mean earthquake recurrence intervals (RIs). Slip rates on faults with longer RIs, such as the Wasatch fault, can be greatly influenced by an increase of up to 20% when accounting for open intervals. In contrast, slip rates on faults with shorter RIs, such as the San Andreas fault, are only slightly influenced by the assumption that slip rates calculated over open intervals approximate those calculated over closed intervals. Our analyses indicate that faults with moderate slip rates (∼0.2–5&nbsp;mm/yr) are sensitive to both open interval effects themselves, as well as methods to quantify and account for these effects. We re‐evaluate how slip rates are calculated and defined in displacement–time space using published deformation records. We explore the utility of assigning a probability distribution to the initiation of offset of the oldest faulted feature and the timing of the most recent earthquake (MRE). We find that calculating geologic slip rates without using probability distributions that capture the timing of the MRE and the onset of offset of the oldest faulted feature, especially on slow‐to‐moderate slip rate faults, can lead to systematic underestimation of average geologic slip rates.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220240096","usgsCitation":"Hatem, A.E., Briggs, R.W., and Gold, R.D., 2025, How does the onset of offset influence geologic slip rates?: Seismological Research Letters, v. 96, no. 1, p. 363-376, https://doi.org/10.1785/0220240096.","productDescription":"14 p.","startPage":"363","endPage":"376","ipdsId":"IP-166437","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":465401,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Hatem, Alexandra Elise 0000-0001-7584-2235","orcid":"https://orcid.org/0000-0001-7584-2235","contributorId":225597,"corporation":false,"usgs":true,"family":"Hatem","given":"Alexandra","email":"","middleInitial":"Elise","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":921680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":921681,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gold, Ryan D. 0000-0002-4464-6394 rgold@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6394","contributorId":3883,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","email":"rgold@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":921682,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70257016,"text":"70257016 - 2025 - (Re)discovering the seismicity of Antarctica: A new seismic catalog for the southernmost continent","interactions":[],"lastModifiedDate":"2025-01-13T16:05:38.725944","indexId":"70257016","displayToPublicDate":"2024-07-31T06:41:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"(Re)discovering the seismicity of Antarctica: A new seismic catalog for the southernmost continent","docAbstract":"We apply a machine learning (ML) earthquake detection technique on over 21 yr of seismic data from on‐continent temporary and long‐term networks to obtain the most complete catalog of seismicity in Antarctica to date. The new catalog contains 60,006 seismic events within the Antarctic continent for 1 January 2000–1 January 2021, with estimated moment magnitudes (⁠Mw\n⁠) between −1.0 and 4.5. Most detected seismicity occurs near Ross Island, large ice shelves, ice streams, ice‐covered volcanoes, or in distinct and isolated areas within the continental interior. The event locations and waveform characteristics indicate volcanic, tectonic, and cryospheric sources. The catalog shows that Antarctica is more seismically active than prior catalogs would indicate, examples include new tectonic events in East Antarctica, seismic events near and around the vicinity of David Glacier, and many thousands of events in the Mount Erebus region. This catalog provides a resource for more specific studies using other detection and analysis methods such as template matching or transfer learning to further discriminate source types and investigate diverse seismogenic processes across the continent.","language":"English","publisher":"Geological Society of America","doi":"10.1785/0220240076","usgsCitation":"Pena Castro, A.F., Schmandt, B., Nakai, J.S., Aster, R.C., and Chaput, J., 2025, (Re)discovering the seismicity of Antarctica: A new seismic catalog for the southernmost continent: Seismological Research Letters, v. 96, no. 1, p. 576-594, https://doi.org/10.1785/0220240076.","productDescription":"19 p.","startPage":"576","endPage":"594","ipdsId":"IP-163366","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":432328,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Pena Castro, Andres F. 0000-0001-8055-1977","orcid":"https://orcid.org/0000-0001-8055-1977","contributorId":341919,"corporation":false,"usgs":false,"family":"Pena Castro","given":"Andres","email":"","middleInitial":"F.","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":909162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmandt, Brandon","contributorId":202750,"corporation":false,"usgs":false,"family":"Schmandt","given":"Brandon","email":"","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":909163,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nakai, Jenny Sha 0000-0002-4559-9796","orcid":"https://orcid.org/0000-0002-4559-9796","contributorId":341920,"corporation":false,"usgs":true,"family":"Nakai","given":"Jenny","email":"","middleInitial":"Sha","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":909164,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aster, Richard C. 0000-0002-0821-4906","orcid":"https://orcid.org/0000-0002-0821-4906","contributorId":194410,"corporation":false,"usgs":false,"family":"Aster","given":"Richard","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":909165,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chaput, Julien 0000-0003-1501-3763","orcid":"https://orcid.org/0000-0003-1501-3763","contributorId":341921,"corporation":false,"usgs":false,"family":"Chaput","given":"Julien","email":"","affiliations":[{"id":68346,"text":"University of Texas El Paso","active":true,"usgs":false}],"preferred":false,"id":909166,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70263329,"text":"70263329 - 2025 - Inconsistent transcriptomic responses to hexabromocyclododecane in Japanese quail: A comparative analysis of results from four different study designs","interactions":[],"lastModifiedDate":"2025-09-09T14:34:31.082546","indexId":"70263329","displayToPublicDate":"2024-07-29T10:20:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Inconsistent transcriptomic responses to hexabromocyclododecane in Japanese quail: A comparative analysis of results from four different study designs","docAbstract":"<p><span>Efforts to use transcriptomics for toxicity testing have classically relied on the assumption that chemicals consistently produce characteristic transcriptomic signatures that are reflective of their mechanism of action. However, the degree to which transcriptomic responses are conserved across different test methodologies has seldom been explored. With increasing regulatory demand for New Approach Methods (NAMs) that use alternatives to animal models and high‐content approaches such as transcriptomics, this type of comparative analysis is needed. We examined whether common genes are dysregulated in Japanese quail (</span><i>Coturnix japonica</i><span>) liver following sublethal exposure to the flame retardant hexabromocyclododecane (HBCD), when life stage and test methodologies differ. The four exposure scenarios included one NAM: Study 1—early‐life stage (ELS) exposure via a single egg injection, and three more traditional approaches; Study 2—adult exposure using a single oral gavage; Study 3—ELS exposure via maternal deposition after adults were exposed through their diet for 7 weeks; and Study 4—ELS exposure via maternal deposition and re‐exposure of nestlings through their diet for 17 weeks. The total number of differentially expressed genes (DEGs) detected in each study was variable (Study 1, 550; Study 2, 192; Study 3, 1; Study 4, 3) with only 19 DEGs shared between Studies 1 and 2. Factors contributing to this lack of concordance are discussed and include differences in dose, but also quail strain, exposure route, sampling time, and HBCD stereoisomer composition. The results provide a detailed overview of the transcriptomic responses to HBCD at different life stages and routes of exposure in a model avian species and highlight certain challenges and limits of comparing transcriptomics across different test methodologies.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1002/etc.5955","usgsCitation":"Béziers, P., Legrand, E., Boulanger, E., Basu, N., Ewald, J., Henry, P.F., Hecker, M., Xia, J., Karouna-Renier, N., Crump, D., and Head, J.A., 2025, Inconsistent transcriptomic responses to hexabromocyclododecane in Japanese quail: A comparative analysis of results from four different study designs: Environmental Toxicology and Chemistry, v. 44, no. 9, p. 2524-2534, https://doi.org/10.1002/etc.5955.","productDescription":"11 p.","startPage":"2524","endPage":"2534","ipdsId":"IP-141285","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":481753,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":487625,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.5955","text":"Publisher Index Page"}],"volume":"44","issue":"9","noUsgsAuthors":false,"publicationDate":"2024-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Béziers, Paul 0000-0003-4602-0026","orcid":"https://orcid.org/0000-0003-4602-0026","contributorId":350604,"corporation":false,"usgs":false,"family":"Béziers","given":"Paul","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":926407,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Legrand, Elena 0000-0002-0473-2220","orcid":"https://orcid.org/0000-0002-0473-2220","contributorId":350605,"corporation":false,"usgs":false,"family":"Legrand","given":"Elena","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":926408,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boulanger, Emily 0000-0003-0017-0117","orcid":"https://orcid.org/0000-0003-0017-0117","contributorId":350606,"corporation":false,"usgs":false,"family":"Boulanger","given":"Emily","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":926409,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Basu, Niladri","contributorId":60085,"corporation":false,"usgs":false,"family":"Basu","given":"Niladri","email":"","affiliations":[],"preferred":false,"id":926410,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ewald, Jessica","contributorId":350607,"corporation":false,"usgs":false,"family":"Ewald","given":"Jessica","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":926411,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Henry, Paula F. P. 0000-0002-7601-5546 phenry@usgs.gov","orcid":"https://orcid.org/0000-0002-7601-5546","contributorId":4485,"corporation":false,"usgs":true,"family":"Henry","given":"Paula","email":"phenry@usgs.gov","middleInitial":"F. P.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":926412,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hecker, Marcus 0000-0002-7237-6192","orcid":"https://orcid.org/0000-0002-7237-6192","contributorId":350608,"corporation":false,"usgs":false,"family":"Hecker","given":"Marcus","affiliations":[{"id":13248,"text":"University of Saskatchewan","active":true,"usgs":false}],"preferred":false,"id":926413,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Xia, Jianguo","contributorId":350669,"corporation":false,"usgs":false,"family":"Xia","given":"Jianguo","affiliations":[],"preferred":false,"id":926414,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Karouna-Renier, Natalie 0000-0001-7127-033X nkarouna@usgs.gov","orcid":"https://orcid.org/0000-0001-7127-033X","contributorId":200983,"corporation":false,"usgs":true,"family":"Karouna-Renier","given":"Natalie","email":"nkarouna@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":926415,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Crump, Doug 0000-0003-2915-4989","orcid":"https://orcid.org/0000-0003-2915-4989","contributorId":350610,"corporation":false,"usgs":false,"family":"Crump","given":"Doug","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":926416,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Head, Jessica A.","contributorId":206108,"corporation":false,"usgs":false,"family":"Head","given":"Jessica","email":"","middleInitial":"A.","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":926417,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70269010,"text":"70269010 - 2025 - Evaluating mountain lion diet before and after a removal of feral horses in a semiarid environment","interactions":[],"lastModifiedDate":"2025-07-14T15:04:20.934874","indexId":"70269010","displayToPublicDate":"2024-07-24T07:55:58","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating mountain lion diet before and after a removal of feral horses in a semiarid environment","docAbstract":"<p><span>Non-native species can affect ecosystems by influencing native predator-prey dynamics. Therefore, management interventions designed to remove non-natives may inadvertently lead to increased predation on native species. Feral horses are widely distributed throughout the arid parts of western North America. A growing body of research indicates that horses can be an important prey species to mountain lions in ecosystems where they overlap. In December 2020, the Bureau of Land Management removed 455 horses from the Delamar Mountains, Nevada, USA. We leveraged this management intervention to implement a before–after–control–impact&nbsp;study to test hypotheses about predation on horses and native ungulates. We predicted (1) that horses would comprise an important part of the diet in this mixed-prey community, (2) following removal, the proportion of horses in the diet would decrease and native ungulates would increase, and (3) mountain lion home ranges overlapping the treatment areas would increase in response to decreased prey availability. From 2018 to 2022, we investigated 1360 clusters from 29 GPS-collared lions and identified 1056 prey items. To model the probability of a predation event (a kill), we fit a mixed-effects logistic regression model for ungulate prey as a function of lion sex, treatment area (in/out), and treatment period (pre-/post-removal). We used a log-linear regression model to evaluate changes in home range size. The most common prey were mule deer (55%), feral horses (32%), and coyotes (4%). Twenty-two of 29 lions consumed horses, although the rate of horse consumption was highly variable across individuals. Horses of both sexes and all age classes were predated. In contrast to predictions, our models detected no effect of removals on diet composition (β</span><sub>interaction</sub><span> = 0.30 ± 1.1), nor did the removal influence home range size (β</span><sub>interaction</sub><span> = 0.02 ± 0.02). Despite a 46% reduction in horse abundance, we found no evidence for prey-switching following the horse removal treatment. Removal magnitude, rapid horse immigration, and/or behavioral specialization of individual mountain lions may help explain these results. Our findings have important implications for mountain lion and feral horse management in arid environments characterized by high prey diversity, but low prey abundance.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4919","usgsCitation":"Iacono, P., Schoenecker, K., Manlove, K., Jackson, P., and Stoner, D., 2025, Evaluating mountain lion diet before and after a removal of feral horses in a semiarid environment: Ecosphere, v. 15, no. 7, e4919, 17 p., https://doi.org/10.1002/ecs2.4919.","productDescription":"e4919, 17 p.","ipdsId":"IP-152802","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":492800,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13IGZUV","text":"USGS data release","linkHelpText":"Data describing species consumed by mountain lions during predation events in eastern Nevada, USA, 2018 to 2022"},{"id":492490,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4919","text":"Publisher Index Page"},{"id":492207,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Delamar Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.96404930464747,\n              37.701217299863885\n            ],\n            [\n              -114.96404930464747,\n              36.938309102465794\n            ],\n            [\n              -113.99716161775578,\n              36.938309102465794\n            ],\n            [\n              -113.99716161775578,\n              37.701217299863885\n            ],\n            [\n              -114.96404930464747,\n              37.701217299863885\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"7","noUsgsAuthors":false,"publicationDate":"2024-07-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Iacono, Peter C.","contributorId":357949,"corporation":false,"usgs":false,"family":"Iacono","given":"Peter C.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":942901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoenecker, Kathryn A. 0000-0001-9906-911X","orcid":"https://orcid.org/0000-0001-9906-911X","contributorId":202531,"corporation":false,"usgs":true,"family":"Schoenecker","given":"Kathryn A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":942902,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Manlove, Kezia R.","contributorId":357951,"corporation":false,"usgs":false,"family":"Manlove","given":"Kezia R.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":942903,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, Pat J.","contributorId":357953,"corporation":false,"usgs":false,"family":"Jackson","given":"Pat J.","affiliations":[{"id":27489,"text":"Nevada Department of Wildlife","active":true,"usgs":false}],"preferred":false,"id":942904,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stoner, David C.","contributorId":357955,"corporation":false,"usgs":false,"family":"Stoner","given":"David C.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false},{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":942905,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70256196,"text":"70256196 - 2025 - The dynamic feasibility of resisting (R), accepting (A), or directing (D) ecological change","interactions":[],"lastModifiedDate":"2025-04-17T15:27:55.008263","indexId":"70256196","displayToPublicDate":"2024-07-17T06:43:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"The dynamic feasibility of resisting (R), accepting (A), or directing (D) ecological change","docAbstract":"<div class=\"abstract-group \"><div class=\"article-section__content en main\"><p>Ecological transformations are occurring as a result of climate change, challenging traditional approaches to land management decision-making. The resist–accept–direct (RAD) framework helps managers consider how to respond to this challenge. We examined how the feasibility of the choices to resist, accept, and direct shifts in complex and dynamic ways through time. We considered 4 distinct types of social feasibility: regulatory, financial, public, and organizational. Our commentary is grounded in literature review and the examples that exist but necessarily has speculative elements because empirical evidence on this newly emerging management strategy is scarce. We expect that resist strategies will become less feasible over time as managers encounter situations where resisting is ecologically, by regulation, financially, or publicly not feasible. Similarly, we expect that as regulatory frameworks increasingly permit their use, if costs decrease, and if the public accepts them, managers will increasingly view accept and direct strategies as more viable options than they do at present. Exploring multiple types of feasibility over time allows consideration of both social and ecological trajectories of change in tandem. Our theorizing suggested that deepening the time horizon of decision-making allows one to think carefully about when one should adopt different approaches and how to combine them over time.</p></div></div>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.14331","usgsCitation":"Cravens, A.E., Clifford, K.R., Knapp, C.N., and Travis, W., 2025, The dynamic feasibility of resisting (R), accepting (A), or directing (D) ecological change: Conservation Biology, v. 39, no. 2, e14331, 12 p., https://doi.org/10.1111/cobi.14331.","productDescription":"e14331, 12 p.","ipdsId":"IP-156904","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":439278,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/cobi.14331","text":"Publisher Index Page"},{"id":431463,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-07-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Cravens, Amanda E. 0000-0002-0271-7967 aecravens@usgs.gov","orcid":"https://orcid.org/0000-0002-0271-7967","contributorId":196752,"corporation":false,"usgs":true,"family":"Cravens","given":"Amanda","email":"aecravens@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":907095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clifford, Katherine R. 0000-0002-1385-8765","orcid":"https://orcid.org/0000-0002-1385-8765","contributorId":303904,"corporation":false,"usgs":false,"family":"Clifford","given":"Katherine","email":"","middleInitial":"R.","affiliations":[{"id":38977,"text":"University of Colorado at Boulder","active":true,"usgs":false}],"preferred":false,"id":907096,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knapp, Corrine N.","contributorId":270993,"corporation":false,"usgs":false,"family":"Knapp","given":"Corrine","email":"","middleInitial":"N.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":907097,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Travis, William","contributorId":202844,"corporation":false,"usgs":false,"family":"Travis","given":"William","affiliations":[],"preferred":false,"id":907098,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70255982,"text":"70255982 - 2025 - Effect of water delivery and irrigation for riparian restoration in the Colorado River Delta, Mexico","interactions":[],"lastModifiedDate":"2025-01-13T16:02:35.654229","indexId":"70255982","displayToPublicDate":"2024-07-04T10:15:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Effect of water delivery and irrigation for riparian restoration in the Colorado River Delta, Mexico","docAbstract":"<p><span>Along Mexico's arid Colorado River Delta, the riparian corridor lacks water due to a reduction in frequent flows, climate change, human infrastructure, and altered riparian landcover from disturbances to invasive species, fire, and high soil and water salinities, which have led to declines in riparian plant health in recent decades. Restoration efforts focusing on small plots have successfully revitalized habitat, which is the motivation for this research. Accurate estimations of water use by riparian vegetation are crucial in arid environments, where measuring actual evapotranspiration (ETa) poses a significant challenge in these narrow corridors. This study utilizes field-validated remote sensing techniques to quantify ETa at restoration sites. Our methods are twofold; we use the Landsat-8 two-band Enhanced Vegetation Index (EVI2) to monitor changes in vegetation greenness—a proxy of plant health—and we integrate EVI2 with potential evapotranspiration (ET) to calculate ETa. Our findings reveal a notable increase in vegetation greenness within the restoration sites over 9 years, with an average increase of 41.3%. Conversely, greenness in adjacent, unrestored control areas declined by 27.3%. The study also indicates a 22.1% increase in ETa in the restored areas, compared to a 30.8% reduction in the unrestored regions. Restored sites in reach 4 experienced ETa increases ranging from 9.2 to 12.2%, whereas their unrestored counterparts show a decline of 21.4%. Valuable estimates are provided of riparian greenness and water use that may assist natural resource managers who are tasked with allocating water and managing habitats within similar riparian corridors.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/rec.14226","usgsCitation":"Nagler, P.L., Sall, I., Gomez-Sapiens, M., Flessa, K.W., Barreto-Muñoz, A., and Didan, K., 2025, Effect of water delivery and irrigation for riparian restoration in the Colorado River Delta, Mexico: Restoration Ecology, v. 33, no. 1, e14226, 15 p., https://doi.org/10.1111/rec.14226.","productDescription":"e14226, 15 p.","ipdsId":"IP-162779","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":498065,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.14226","text":"Publisher Index Page"},{"id":430968,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"Colorado River Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.57136398622646,\n              32.62670123242762\n            ],\n            [\n              -115.25074823744065,\n              32.62670123242762\n            ],\n            [\n              -115.25074823744065,\n              31.840259349696495\n            ],\n            [\n              -114.57136398622646,\n              31.840259349696495\n            ],\n            [\n              -114.57136398622646,\n              32.62670123242762\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"33","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-07-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":906247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sall, Ibrahima 0000-0002-7526-636X","orcid":"https://orcid.org/0000-0002-7526-636X","contributorId":251750,"corporation":false,"usgs":false,"family":"Sall","given":"Ibrahima","email":"","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":906248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gomez-Sapiens, Martha","contributorId":195954,"corporation":false,"usgs":false,"family":"Gomez-Sapiens","given":"Martha","email":"","affiliations":[],"preferred":false,"id":906249,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flessa, Karl W.","contributorId":175308,"corporation":false,"usgs":false,"family":"Flessa","given":"Karl","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":906250,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barreto-Muñoz, Armando","contributorId":239891,"corporation":false,"usgs":false,"family":"Barreto-Muñoz","given":"Armando","affiliations":[{"id":48028,"text":"University of Arizona, Biosystems Engineering, Tucson, AZ, 85721 USA","active":true,"usgs":false}],"preferred":false,"id":906251,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Didan, Kamel","contributorId":292780,"corporation":false,"usgs":false,"family":"Didan","given":"Kamel","affiliations":[{"id":62999,"text":"Biosystems Engineering, University of Arizona, Tucson, AZ, 85721 USA","active":true,"usgs":false}],"preferred":false,"id":906252,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70255721,"text":"70255721 - 2025 - Connecting tributary mercury loads to nearshore and offshore sediments in Lake Superior","interactions":[],"lastModifiedDate":"2025-01-27T16:24:44.738971","indexId":"70255721","displayToPublicDate":"2024-07-03T10:41:45","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Connecting tributary mercury loads to nearshore and offshore sediments in Lake Superior","docAbstract":"<p><span>Lake Superior has a vast and largely undeveloped watershed in comparison to the other Great Lakes, which makes it challenging to study mercury (Hg) sources and cycling. To examine Hg inputs to Lake Superior, we conducted an expansive binational assessment in 40 watersheds from a diverse range of landcover types. We further paired tributary Hg data to sediment source portfolios in the nearshore and offshore zones of Lake Superior through partnership with the Great Lakes Sediment Surveillance Program. We observed that total Hg loads were highest in the spring driven by the combination of elevated Hg concentrations and increased water discharge from snowmelt. In addition, total Hg concentrations in tributaries from remote, heavily forested regions, such as Pukaskwa National Park and the Minnesota Northshore, were higher than the Southshore and Thunder Bay regions. Methylmercury concentrations and loads were more spatially dependent, often corresponding to regions with more wetlands (e.g., Michigan Upper Peninsula). We estimated that the total Hg tributary load to Lake Superior in 2021 was 126&nbsp;kg per year. To further examine the fate of watershed Hg sources, we examined sediments from 28 sites in Lake Superior using Hg stable isotopes. At open water sites, precipitation was the primary Hg source to sediments, but within nearshore sites Hg originated predominantly from watershed runoff. This work further defines the sources and fate of Hg within Lake Superior and highlights how Hg delivery is intrinsically tied to varying hydrologic regimes.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102381","usgsCitation":"Janssen, S., Tate, M., Dantoin, E.D., Filstrup, C.T., Reavie, E., Stewart, R.M., Robinson, C., Allan, C.J., Robertson, D., and Krabbenhoft, D.P., 2025, Connecting tributary mercury loads to nearshore and offshore sediments in Lake Superior: Journal of Great Lakes Research, v. 51, no. 1, 102381, 11 p., https://doi.org/10.1016/j.jglr.2024.102381.","productDescription":"102381, 11 p.","ipdsId":"IP-163575","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":439302,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2024.102381","text":"Publisher Index Page"},{"id":431223,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, Minnesota, Ontario, Wisconsin","otherGeospatial":"Lake Superior","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -92.94842126777587,\n              51\n            ],\n            [\n              -92.94842126777587,\n              45.903630478283674\n            ],\n            [\n              -83.39917261942563,\n              45.903630478283674\n            ],\n            [\n              -83.39917261942563,\n              51\n            ],\n            [\n              -92.94842126777587,\n              51\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"51","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Janssen, Sarah E. 0000-0003-4432-3154","orcid":"https://orcid.org/0000-0003-4432-3154","contributorId":210991,"corporation":false,"usgs":true,"family":"Janssen","given":"Sarah E.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":905430,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tate, Michael T. 0000-0003-1525-1219 mttate@usgs.gov","orcid":"https://orcid.org/0000-0003-1525-1219","contributorId":3144,"corporation":false,"usgs":true,"family":"Tate","given":"Michael T.","email":"mttate@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":905431,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dantoin, Eric D. 0000-0002-8561-2924 edantoin@usgs.gov","orcid":"https://orcid.org/0000-0002-8561-2924","contributorId":2278,"corporation":false,"usgs":true,"family":"Dantoin","given":"Eric","email":"edantoin@usgs.gov","middleInitial":"D.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":905432,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Filstrup, Christopher T.","contributorId":169032,"corporation":false,"usgs":false,"family":"Filstrup","given":"Christopher","email":"","middleInitial":"T.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":905433,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reavie, Euan D","contributorId":332488,"corporation":false,"usgs":false,"family":"Reavie","given":"Euan D","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":905434,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stewart, Robert M","contributorId":339866,"corporation":false,"usgs":false,"family":"Stewart","given":"Robert","email":"","middleInitial":"M","affiliations":[{"id":35506,"text":"Lakehead University","active":true,"usgs":false}],"preferred":false,"id":905435,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Robinson, Chris","contributorId":339867,"corporation":false,"usgs":false,"family":"Robinson","given":"Chris","email":"","affiliations":[{"id":6658,"text":"Parks Canada","active":true,"usgs":false}],"preferred":false,"id":905436,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Allan, Craig J","contributorId":339868,"corporation":false,"usgs":false,"family":"Allan","given":"Craig","email":"","middleInitial":"J","affiliations":[{"id":7043,"text":"University of North Carolina","active":true,"usgs":false}],"preferred":false,"id":905437,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Robertson, Dale M. 0000-0001-6799-0596","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":217258,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":905438,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":905439,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70258181,"text":"70258181 - 2025 - Geological context and significance of the clay-sulfate transition region in Mount Sharp, Gale crater, Mars: An integrated assessment based on orbiter and rover data","interactions":[],"lastModifiedDate":"2025-01-13T16:08:19.604071","indexId":"70258181","displayToPublicDate":"2024-06-28T10:02:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Geological context and significance of the clay-sulfate transition region in Mount Sharp, Gale crater, Mars: An integrated assessment based on orbiter and rover data","docAbstract":"<p><span>On Mars, phyllosilicate (“clay”) minerals are often associated with older terrains, and sulfate minerals are associated with younger terrains, and this dichotomy is taken as evidence that Mars’ surface dried up over time. Therefore, in situ investigation of the Mount Sharp strata in Gale crater, which record a shift from dominantly clay-bearing to sulfate-bearing minerals, as seen in visible−near-infrared orbital reflectance spectra, is a key science objective for the Mars Science Laboratory (MSL)&nbsp;</span><i>Curiosity</i><span>&nbsp;rover mission. Here, we present regional (orbiter-based) and in situ (rover-based) evidence for a low-angle erosional unconformity that separates the lacustrine and marginal lacustrine deposits of the Carolyn Shoemaker formation from the dominantly eolian deposits of the lower Mirador formation within the orbitally defined clay-sulfate transition region. The up-section record of wetter (Carolyn Shoemaker formation) to drier (lower Mirador formation) depositional conditions is accompanied by distinct changes in diagenesis. Clay minerals occur preferentially within the Carolyn Shoemaker formation and are absent within the lower members of the Mirador formation. At and above the proposed unconformity, strata are characterized by an increase in diagenetic nodules enriched in X-ray amorphous Mg-sulfate. Early clay formation in the Carolyn Shoemaker formation may have created a hydraulic barrier such that later migrating magnesium- and sulfur-rich fluids accumulated preferentially within the lower members of the Mirador formation. The proposed unconformity may have also acted as a fluid conduit to further promote Mg-sulfate nodule formation at the Carolyn Shoemaker−Mirador formation boundary. These results confirm an association of the clay-sulfate transition with the drying of depositional environments, but they also suggest that at least some orbital sulfate signatures within the region are not time-congruent with the environmental signals extracted from primary sedimentology. Our findings highlight that complex interactions among primary depositional environment, erosion, and diagenesis contribute to the transition in clay-sulfate orbital signatures observed in the stratigraphy of Mount Sharp.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/B37355.1","usgsCitation":"Meyer, M.J., Milliken, R.E., Stack, K.M., Edgar, L.A., Rampe, E.B., Turner, M.L., Lewis, K.W., Kite, E.S., Caravaca, G., Vasavada, A.R., Dietrich, W.E., Bryk, A.B., Gasnault, O., Le Mouelic, S., Seeger, C.H., and Sheppard, R.Y., 2025, Geological context and significance of the clay-sulfate transition region in Mount Sharp, Gale crater, Mars: An integrated assessment based on orbiter and rover data: GSA Bulletin, v. 137, no. 1-2, p. 82-115, https://doi.org/10.1130/B37355.1.","productDescription":"34 p.","startPage":"82","endPage":"115","ipdsId":"IP-157274","costCenters":[{"id":131,"text":"Astrogeology Science 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0000-0002-1426-1186","orcid":"https://orcid.org/0000-0002-1426-1186","contributorId":218512,"corporation":false,"usgs":false,"family":"Kite","given":"Edwin","email":"","middleInitial":"S.","affiliations":[{"id":36705,"text":"University of Chicago","active":true,"usgs":false}],"preferred":false,"id":912501,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Caravaca, Gwenael","contributorId":293561,"corporation":false,"usgs":false,"family":"Caravaca","given":"Gwenael","email":"","affiliations":[{"id":63327,"text":"University Copenhagen","active":true,"usgs":false}],"preferred":false,"id":912502,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Vasavada, Ashwin R.","contributorId":200409,"corporation":false,"usgs":false,"family":"Vasavada","given":"Ashwin","email":"","middleInitial":"R.","affiliations":[],"preferred":true,"id":912503,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Dietrich, William 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,{"id":70268780,"text":"70268780 - 2025 - Spaceborne imaging spectroscopy enables carbon trait estimation in cover crop and cash crop residues","interactions":[],"lastModifiedDate":"2025-07-08T17:25:42.067225","indexId":"70268780","displayToPublicDate":"2024-06-27T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":21985,"text":"Precision Agriculture","active":true,"publicationSubtype":{"id":10}},"title":"Spaceborne imaging spectroscopy enables carbon trait estimation in cover crop and cash crop residues","docAbstract":"<p>Purpose</p><p>Cover crops and reduced tillage are two key climate smart agricultural practices that can provide agroecosystem services including improved soil health, increased soil carbon sequestration, and reduced fertilizer needs. Crop residue carbon traits (i.e., lignin, holocellulose, non-structural carbohydrates) and nitrogen concentrations largely mediate decomposition rates and amount of plant-available nitrogen accessible to cash crops and determine soil carbon residence time. Non-destructive approaches to quantify these important traits are possible using spectroscopy.</p><p>Methods</p><p>The objective of this study was to quantify cash and cover crop residue nitrogen and carbon traits using partial least squares regression models and a combination of 1) the band equivalent reflectance (BER) of the PRecursore IperSpettrale della Missione Applicativa (PRISMA) imaging spectroscopy sensor derived from laboratory collected ASD spectra (n = 296) of 11 cover crop species and three cash crop species, and 2) spaceborne PRISMA imagery that coincided with destructive crop residue collections in the spring of 2022 (n = 65). Spectral range was constrained to 1200 to 2400nm to reduce the likelihood of confounding relationships in wavelengths sensitive to plant pigments or those related to canopy structure for both analytical approaches.</p><p>Results</p><p>Models using laboratory BER of PRISMA all demonstrated high accuracies and low errors for estimation of nitrogen and carbon traits (adj. R2 = 0.86 – 0.98; RMSE = 0.24 – 4.25%) and results suggest that a single model may be used for a given trait across all species. Models using spaceborne imaging spectroscopy demonstrated that crop residue carbon traits can be successfully estimated using PRISMA imagery (adj. R2 = 0.65 – 0.75; RMSE = 2.71 – 4.16%). We found moderate relationships between nitrogen concentration and PRISMA imagery (adj. R2 = 0.52; RMSE = 0.25%), which is partly related to the range of nitrogen in these senesced crop residues (0.38 – 1.85%). PRISMA imagery models were also impacted by atmospheric absorption, variability in surface moisture content, and some presence of green vegetation. </p><p>Conclusion</p><p>As spaceborne imaging spectroscopy data become more widely available from upcoming missions, crop residue trait estimates could be regularly generated and integrated into decision support tools to calculate decomposition rates and associated nitrogen credits to inform precision field management, as well as to enable measurement, monitoring, reporting, and verification of net carbon benefits from climate smart agricultural practice adoption in an emerging carbon marketplace.</p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s11119-024-10159-4","usgsCitation":"Jennewein, J., Hively, W.D., Lamb, B.T., Daughtry, C.S., Thapa, R., Thieme, A., Reberg-Horton, C., and Mirsky, S., 2025, Spaceborne imaging spectroscopy enables carbon trait estimation in cover crop and cash crop residues: Precision 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,{"id":70262587,"text":"70262587 - 2025 - Turbidite correlation for paleoseismology","interactions":[],"lastModifiedDate":"2025-01-21T16:10:19.776654","indexId":"70262587","displayToPublicDate":"2024-06-18T10:01:45","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Turbidite correlation for paleoseismology","docAbstract":"<p><span>Marine turbidite paleoseismology relies on the assumption of synchronous triggering of turbidity currents by earthquake shaking to infer rupture extent and recurrence. Such inference commonly depends on age dating and correlation of the physical stratigraphy of deposits carried by turbidity currents (i.e., turbidites) across great distances. Along the Cascadia subduction zone, which lies offshore the Pacific Northwest, USA, turbidite facies in core photographs, X-ray computed tomography images, and magnetic susceptibility (MS) data exhibit differences in character over relatively short distances, which implies that not all deposits can be correlated with confidence. Thus, subjective correlation based on expected similarity over great distances and weak age constraints does not independently support paleoseismic models. We present a new method for correlating turbidites along the Cascadia margin that can yield a more objective and repeatable stratigraphic framework to underpin earthquake recurrence. We use dynamic time warping to correlate MS logs and measure correlation coefficients of core pairs to evaluate correlation strength. We then compare these measures to a distribution of correlation coefficients of randomly generated turbidite sequences and find that only a small number of core pairs can be correlated more confidently than randomly stacked turbidites. This methodology promises a more robust correlation strategy for future stratigraphic studies.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/B37343.1","usgsCitation":"Nieminski, N.M., Sylvester, Z., Covault, J., Gomberg, J.S., Staisch, L.M., and McBrearty, I., 2025, Turbidite correlation for paleoseismology: Geological Society of America Bulletin, v. 137, no. 1-2, p. 29-40, https://doi.org/10.1130/B37343.1.","productDescription":"12 p.","startPage":"29","endPage":"40","ipdsId":"IP-155495","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":481038,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/b37343.1","text":"Publisher Index Page"},{"id":480831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.26453789074651,\n              48.071035359833985\n            ],\n            [\n              -127.39602874177069,\n              48.071035359833985\n            ],\n            [\n              -127.39602874177069,\n              41.99234863119753\n            ],\n            [\n              -123.26453789074651,\n              41.99234863119753\n            ],\n            [\n              -123.26453789074651,\n              48.071035359833985\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"137","issue":"1-2","noUsgsAuthors":false,"publicationDate":"2024-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Nieminski, Nora M.","contributorId":216510,"corporation":false,"usgs":false,"family":"Nieminski","given":"Nora","email":"","middleInitial":"M.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":924622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sylvester, Zoltan","contributorId":349708,"corporation":false,"usgs":false,"family":"Sylvester","given":"Zoltan","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":924623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Covault, Jake","contributorId":349709,"corporation":false,"usgs":false,"family":"Covault","given":"Jake","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":924624,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gomberg, Joan S. 0000-0002-0134-2606 gomberg@usgs.gov","orcid":"https://orcid.org/0000-0002-0134-2606","contributorId":1269,"corporation":false,"usgs":true,"family":"Gomberg","given":"Joan","email":"gomberg@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":924625,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Staisch, Lydia M. 0000-0002-1414-5994 lstaisch@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-5994","contributorId":167068,"corporation":false,"usgs":true,"family":"Staisch","given":"Lydia","email":"lstaisch@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":924626,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McBrearty, Ian","contributorId":242933,"corporation":false,"usgs":false,"family":"McBrearty","given":"Ian","email":"","affiliations":[{"id":48588,"text":"Los Alamos National Lab","active":true,"usgs":false}],"preferred":false,"id":924627,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70264004,"text":"70264004 - 2025 - Valuing wildlife sightings at the species-wide and individual animal levels: An approach and application to bear viewing in Yellowstone National Park","interactions":[],"lastModifiedDate":"2025-03-04T15:26:44.041017","indexId":"70264004","displayToPublicDate":"2024-06-03T09:24:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1909,"text":"Human Dimensions of Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Valuing wildlife sightings at the species-wide and individual animal levels: An approach and application to bear viewing in Yellowstone National Park","docAbstract":"<p><span>Wildlife viewing is a popular recreation activity in parks and protected areas around the world, yet information on the nonmarket value that visitors derive from viewing specific species, and how that value is affected by small-scale population changes, is lacking. We devised an approach to fill the gap. First, we applied the travel cost method to obtain the value of a wildlife viewing trip. Next, we estimated a value per animal sighting, which we aggregated by the number of visitors who experienced and valued a sighting. Finally, we incorporated the probability of viewing an animal to determine an individual animal’s contribution to sighting value, which varies by species type, visibility, and seasonality. We examined bear viewing in Yellowstone National Park. For grizzly and black bears, respectively, per-sighting values are $16 and $14, aggregate annual sighting values are $6.9 and $9.7 million, and annual per-bear viewing values are $46,000 and $15,000.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10871209.2024.2353250","usgsCitation":"Richardson, L., and Enriquez, A.J., 2025, Valuing wildlife sightings at the species-wide and individual animal levels: An approach and application to bear viewing in Yellowstone National Park: Human Dimensions of Wildlife, v. 30, no. 2, p. 201-209, https://doi.org/10.1080/10871209.2024.2353250.","productDescription":"9 p.","startPage":"201","endPage":"209","ipdsId":"IP-159873","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":487738,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/10871209.2024.2353250","text":"Publisher Index 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,{"id":70263241,"text":"70263241 - 2025 - Hydrodynamic and salinity tesponse to tidal restoration in the Herring River Estuary, MA, considering present and future sea levels","interactions":[],"lastModifiedDate":"2025-02-03T14:58:38.887466","indexId":"70263241","displayToPublicDate":"2024-05-16T08:53:04","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Hydrodynamic and salinity tesponse to tidal restoration in the Herring River Estuary, MA, considering present and future sea levels","docAbstract":"<p><span>Coastal salt marshes are crucial ecosystems that provide habitat for a variety of species, improve water quality, and play a major role in the global carbon cycle. However, many salt marshes have been severely damaged by human activities such as diking and draining for urban development. Recently, there has been a noticeable shift toward the prioritization of coastal marsh restoration to re-establish their ecosystem services. The removal of anthropogenic barriers such as dikes, sluices, and culverts is a critical component of many projects because it allows for the restoration of tidal flow to support natural hydrologic regimes and salinity conditions, which play a dominant role in determining the ecological and biogeochemical functioning of marshes. This study examines how proposed removal of hydraulic structures will influence the hydrologic potential for marsh restoration in the Herring River Estuary in Cape Cod, Massachusetts, USA. Construction of dikes, roadways, and low-capacity culverts over the last century has substantially restricted tidal flow in the Herring River Estuary, leading to degradation of salt marsh habitat. The estuary is now undergoing the first phase of a restoration project to re-introduce natural hydrologic conditions, increase salinity, and restore salt marsh habitat. To assess how the Herring River Estuary will respond to human- and climate-driven modifications, we develop and apply a validated hydrodynamic model to simulate the complex tidal and salinity dynamics of the estuary under a range of restoration and sea level rise scenarios. We then quantify how salinity and critical hydrologic variables, including tidal range and depth of mean high water, will evolve for various restoration scenarios considering present and future sea levels. The results of this research can inform coastal management and restoration plans that re-create the natural functioning of the system while protecting critical infrastructure and reducing the risk of restoration failure.</span></p>","conferenceTitle":"World Environmental and Water Resources Congress 2024","conferenceDate":"May 19-22, 2024","conferenceLocation":"Milwaukee, WI","language":"English","publisher":"ASCE","doi":"10.1061/9780784485477.065","usgsCitation":"Naseri, K., Hummel, M.A., Befus, K.M., Smith, T.P., Eagle, M.J., and Kroeger, K.D., 2025, Hydrodynamic and salinity tesponse to tidal restoration in the Herring River Estuary, MA, considering present and future sea levels, World Environmental and Water Resources Congress 2024, Milwaukee, WI, May 19-22, 2024, p. 739-751, https://doi.org/10.1061/9780784485477.065.","productDescription":"15 p.","startPage":"739","endPage":"751","ipdsId":"IP-166785","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":481600,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Herring River Estuary","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -70.03563796878046,\n              41.96028204250854\n            ],\n            [\n              -70.057717500137,\n              41.95553185904734\n            ],\n            [\n              -70.06507734392336,\n              41.929296137234985\n            ],\n            [\n              -70.04758035680993,\n              41.930225912910544\n            ],\n            [\n              -70.05167687363391,\n              41.950367075905746\n            ],\n            [\n              -70.03601984746726,\n              41.95656377966937\n            ],\n            [\n              -70.03563796878046,\n              41.96028204250854\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2024-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Naseri, Kasra","contributorId":350423,"corporation":false,"usgs":false,"family":"Naseri","given":"Kasra","affiliations":[{"id":12734,"text":"University of Texas at Arlington","active":true,"usgs":false}],"preferred":false,"id":925992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hummel, Michelle A. 0000-0002-5524-2547","orcid":"https://orcid.org/0000-0002-5524-2547","contributorId":330478,"corporation":false,"usgs":false,"family":"Hummel","given":"Michelle","email":"","middleInitial":"A.","affiliations":[{"id":78907,"text":"University of Texas at Arlington, Arlington, TX USA","active":true,"usgs":false}],"preferred":false,"id":925993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Befus, Kevin M.","contributorId":242636,"corporation":false,"usgs":false,"family":"Befus","given":"Kevin","email":"","middleInitial":"M.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":925994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Timothy P.","contributorId":220144,"corporation":false,"usgs":false,"family":"Smith","given":"Timothy","email":"","middleInitial":"P.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":925995,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eagle, Meagan J. 0000-0001-5072-2755 meagle@usgs.gov","orcid":"https://orcid.org/0000-0001-5072-2755","contributorId":242890,"corporation":false,"usgs":true,"family":"Eagle","given":"Meagan","email":"meagle@usgs.gov","middleInitial":"J.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":925996,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kroeger, Kevin D. 0000-0002-4272-2349 kkroeger@usgs.gov","orcid":"https://orcid.org/0000-0002-4272-2349","contributorId":1603,"corporation":false,"usgs":true,"family":"Kroeger","given":"Kevin","email":"kkroeger@usgs.gov","middleInitial":"D.","affiliations":[{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"preferred":true,"id":925997,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70263408,"text":"70263408 - 2025 - GRAPES: Earthquake early warning by passing seismic vectors through the grapevine","interactions":[],"lastModifiedDate":"2025-02-10T16:32:01.595832","indexId":"70263408","displayToPublicDate":"2024-05-08T10:26:12","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"GRAPES: Earthquake early warning by passing seismic vectors through the grapevine","docAbstract":"<p><span>Estimating an earthquake's magnitude and location may not be necessary to predict shaking in real time; instead, wavefield-based approaches predict shaking with few assumptions about the seismic source. Here, we introduce GRAph Prediction of Earthquake Shaking (GRAPES), a deep learning model trained to characterize and propagate earthquake shaking across a seismic network. We show that GRAPES’ internal activations, which we call “seismic vectors”, correspond to the arrival of distinct seismic phases. GRAPES builds upon recent deep learning models applied to earthquake early warning by allowing for continuous ground motion prediction with seismic networks of all sizes. While trained on earthquakes recorded in Japan, we show that GRAPES, without modification, outperforms the ShakeAlert earthquake early warning system on the 2019 M7.1 Ridgecrest, CA earthquake.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1029/2023GL107389","usgsCitation":"Clements, T., Cochran, E.S., Baltay Sundstrom, A.S., Minson, S.E., and Yoon, C., 2025, GRAPES: Earthquake early warning by passing seismic vectors through the grapevine: Geophysical Research Letters, v. 51, no. 9, e2023GL107389, 10 p., https://doi.org/10.1029/2023GL107389.","productDescription":"e2023GL107389, 10 p.","ipdsId":"IP-154593","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":487530,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023gl107389","text":"Publisher Index Page"},{"id":481874,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Japan","otherGeospatial":"Shimane/HiroshimaPrefectures","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              136,\n              36\n            ],\n            [\n              130,\n              36\n            ],\n            [\n              130,\n              32\n            ],\n            [\n              136,\n              32\n            ],\n            [\n              136,\n              36\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"51","issue":"9","noUsgsAuthors":false,"publicationDate":"2024-05-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Clements, Timothy Hugh 0000-0001-6632-1796","orcid":"https://orcid.org/0000-0001-6632-1796","contributorId":350753,"corporation":false,"usgs":true,"family":"Clements","given":"Timothy Hugh","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":926878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":926879,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baltay, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":926880,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Minson, Sarah E. 0000-0001-5869-3477 sminson@usgs.gov","orcid":"https://orcid.org/0000-0001-5869-3477","contributorId":5357,"corporation":false,"usgs":true,"family":"Minson","given":"Sarah","email":"sminson@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":926881,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yoon, Clara 0000-0003-4521-3889","orcid":"https://orcid.org/0000-0003-4521-3889","contributorId":222019,"corporation":false,"usgs":true,"family":"Yoon","given":"Clara","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":926882,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70262592,"text":"70262592 - 2025 - Submarine avalanche deposits hold clues to past earthquakes","interactions":[],"lastModifiedDate":"2025-01-21T17:20:27.261097","indexId":"70262592","displayToPublicDate":"2024-03-18T11:15:02","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":19896,"text":"EOS Transactions","active":true,"publicationSubtype":{"id":10}},"title":"Submarine avalanche deposits hold clues to past earthquakes","docAbstract":"<p><span>Earthquakes and other natural events sometimes shake the seafloor near coastlines severely enough to cause underwater avalanches that rush down steep slopes, scouring the seabed and carrying sediment to greater depths. These fast-moving sediment-laden flows, called&nbsp;</span>turbidity currents<span>, have at times damaged underwater infrastructure like pipelines and communications cables, as they did, for example, in&nbsp;</span>snapping transatlantic cables<span>&nbsp;off the coast of Newfoundland after the 1929 Grand Banks earthquake.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024EO240122","usgsCitation":"Sahakian, V., Kilb, D., Gomberg, J.S., Nieminski, N.M., and Covault, J., 2025, Submarine avalanche deposits hold clues to past earthquakes: EOS Transactions, HTML Document, https://doi.org/10.1029/2024EO240122.","productDescription":"HTML Document","ipdsId":"IP-155490","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":481039,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1029/2024eo240122","text":"Publisher Index Page"},{"id":480843,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sahakian, Valerie J.","contributorId":208097,"corporation":false,"usgs":false,"family":"Sahakian","given":"Valerie J.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":924635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kilb, Debi","contributorId":206552,"corporation":false,"usgs":false,"family":"Kilb","given":"Debi","affiliations":[{"id":37339,"text":"Scripps/UCSD","active":true,"usgs":false}],"preferred":false,"id":924636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gomberg, Joan S. 0000-0002-0134-2606 gomberg@usgs.gov","orcid":"https://orcid.org/0000-0002-0134-2606","contributorId":1269,"corporation":false,"usgs":true,"family":"Gomberg","given":"Joan","email":"gomberg@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":924637,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nieminski, Nora M.","contributorId":216510,"corporation":false,"usgs":false,"family":"Nieminski","given":"Nora","email":"","middleInitial":"M.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":924638,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Covault, Jake","contributorId":349709,"corporation":false,"usgs":false,"family":"Covault","given":"Jake","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":924639,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70251943,"text":"70251943 - 2025 - Accurately characterizing climate change scenario planning in the U.S. National Park Service: Comment on Murphy et al. 2023","interactions":[],"lastModifiedDate":"2025-01-27T16:23:18.10033","indexId":"70251943","displayToPublicDate":"2024-03-01T06:39:20","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3405,"text":"Society and Natural Resources","active":true,"publicationSubtype":{"id":10}},"title":"Accurately characterizing climate change scenario planning in the U.S. National Park Service: Comment on Murphy et al. 2023","docAbstract":"<div class=\"hlFld-Abstract\"><p class=\"last\">We more accurately locate the boundary between current practice and research priorities regarding climate change scenario planning in U.S. federal land management agencies by supplementing the characterization in a recent article (“Understanding perceptions of climate change scenario planning in United States public land management agencies”) of its use in the U.S. National Park Service. Accurately reflecting the full depth and breadth of efforts to streamline and mainstream the method for climate change adaptation planning in the U.S. National Park Service provides readers helpful guidance and resources called for by Murphy et al.</p></div>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/08941920.2024.2310226","usgsCitation":"Reynolds, J.H., Miller, B.W., Schuurman, G.W., Carr, W.A., Symstad, A., Gross, J.E., and Runyon, A., 2025, Accurately characterizing climate change scenario planning in the U.S. National Park Service: Comment on Murphy et al. 2023: Society and Natural Resources, v. 38, no. 1, p. 293-298, https://doi.org/10.1080/08941920.2024.2310226.","productDescription":"6 p.","startPage":"293","endPage":"298","ipdsId":"IP-154182","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":440264,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/08941920.2024.2310226","text":"Publisher Index Page"},{"id":426423,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Reynolds, Joel H.","contributorId":140498,"corporation":false,"usgs":false,"family":"Reynolds","given":"Joel","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":896141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Brian W. 0000-0003-1716-1161","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":196603,"corporation":false,"usgs":true,"family":"Miller","given":"Brian","email":"","middleInitial":"W.","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":896142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schuurman, Gregor W. 0000-0002-9304-7742","orcid":"https://orcid.org/0000-0002-9304-7742","contributorId":147698,"corporation":false,"usgs":false,"family":"Schuurman","given":"Gregor","email":"","middleInitial":"W.","affiliations":[{"id":16909,"text":"U.S. National Park Service, Natural Resource Stewardship and Science, Fort Collins, CO, 80525, USA","active":true,"usgs":false}],"preferred":false,"id":896143,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carr, Wylie A.","contributorId":334637,"corporation":false,"usgs":false,"family":"Carr","given":"Wylie","email":"","middleInitial":"A.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":896144,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Symstad, Amy 0000-0003-4231-2873 asymstad@usgs.gov","orcid":"https://orcid.org/0000-0003-4231-2873","contributorId":201095,"corporation":false,"usgs":true,"family":"Symstad","given":"Amy","email":"asymstad@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":896145,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gross, John E.","contributorId":106777,"corporation":false,"usgs":false,"family":"Gross","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":896146,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Runyon, Amber N. 0000-0002-7282-1217","orcid":"https://orcid.org/0000-0002-7282-1217","contributorId":261745,"corporation":false,"usgs":false,"family":"Runyon","given":"Amber N.","affiliations":[{"id":52985,"text":"National Park Service Climate Change Response Program","active":true,"usgs":false}],"preferred":false,"id":896147,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70262896,"text":"70262896 - 2025 - Quaternary-active faults and the role of inherited structures in the Sacramento-San Joaquin Delta, western Central Valley, northern California","interactions":[],"lastModifiedDate":"2025-01-28T14:57:43.316816","indexId":"70262896","displayToPublicDate":"2024-02-29T08:49:50","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":14442,"text":"Tektonika","active":true,"publicationSubtype":{"id":10}},"title":"Quaternary-active faults and the role of inherited structures in the Sacramento-San Joaquin Delta, western Central Valley, northern California","docAbstract":"<p><span>Seismic sources and their associated hazards within the Sacramento-San Joaquin Delta region of north-central California are relatively poorly characterized as compared to other, more heavily studied regions of northern California, such as the San Francisco Bay Area. Here we present a synthesis of subsurface, bedrock geology, and geodetic datasets from the Delta and from the Coast Ranges and Diablo Range to the northwest and southwest, respectively. We integrate these data and our own surface geologic and geomorphic observations to present a comprehensive review of faults in the Delta that exhibit Quaternary activity. Structural geologic data from the surrounding region highlight the significant influence that Late Cretaceous-to-Paleogene forearc structures exert on the geometry and kinematics of major Quaternary-active structures within the Delta. These inherited structures — including the Pittsburg-Kirby Hills Fault, Midland Fault, and Great Valley Fault System — exhibit a range of geometries and kinematics. Analysis of geomorphology along these structures suggests that these structures combine to accommodate Quaternary strain across the Delta region. A clearer understanding of subsurface geometries and structural relationships, built upon the regional tectonic history, provides insight into modern deformation accommodated on older structures and helps inform interpretations of seismic hazard within the Delta.</span></p>","language":"English","publisher":"University of Aberdeen","doi":"10.55575/tektonika2024.2.1.46","usgsCitation":"Trexler, C.C., Willard, J., and Philibosian, B.E., 2025, Quaternary-active faults and the role of inherited structures in the Sacramento-San Joaquin Delta, western Central Valley, northern California: Tektonika, v. 2, no. 1, https://doi.org/10.55575/tektonika2024.2.1.46.","productDescription":"28 p.","startPage":"67","ipdsId":"IP-145348","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":489890,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.55575/tektonika2024.2.1.46","text":"Publisher Index Page"},{"id":481405,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta, western Central Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122,\n              38.6667\n            ],\n            [\n              -122,\n              37.5\n            ],\n            [\n              -121,\n              37.5\n            ],\n            [\n              -121,\n              38.6667\n            ],\n            [\n              -122,\n              38.6667\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"2","issue":"1","edition":"40","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Trexler, Charles Cashman 0000-0001-5046-9729","orcid":"https://orcid.org/0000-0001-5046-9729","contributorId":257823,"corporation":false,"usgs":true,"family":"Trexler","given":"Charles","email":"","middleInitial":"Cashman","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":925221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Willard, Jack 0000-0002-4653-7423","orcid":"https://orcid.org/0000-0002-4653-7423","contributorId":299663,"corporation":false,"usgs":false,"family":"Willard","given":"Jack","email":"","affiliations":[{"id":64922,"text":"Earthquake Science Center","active":true,"usgs":false}],"preferred":false,"id":925222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Philibosian, Belle E. 0000-0003-3138-4716","orcid":"https://orcid.org/0000-0003-3138-4716","contributorId":206110,"corporation":false,"usgs":true,"family":"Philibosian","given":"Belle","email":"","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":925223,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70251770,"text":"70251770 - 2025 - Joint spatial modeling bridges the gap between disparate disease surveillance and population monitoring efforts informing conservation of at-risk bat species","interactions":[],"lastModifiedDate":"2025-03-11T14:43:11.049197","indexId":"70251770","displayToPublicDate":"2024-02-24T09:05:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9352,"text":"Journal of Agricultural, Biological and Environmental Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Joint spatial modeling bridges the gap between disparate disease surveillance and population monitoring efforts informing conservation of at-risk bat species","docAbstract":"<p><span>White-Nose Syndrome (WNS) is a wildlife disease that has decimated hibernating bats since its introduction in North America in 2006. As the disease spreads westward, assessing the potentially differential impact of the disease on western bat species is an urgent conservation need. The statistical challenge is that the disease surveillance and species response monitoring data are not co-located, available at different spatial resolutions, non-Gaussian, and subject to observation error requiring a novel extension to spatially misaligned regression models for analysis. Previous work motivated by epidemiology applications has proposed two-step approaches that overcome the spatial misalignment while intentionally preventing the human health outcome from informing estimation of exposure. In our application, the impacted animals contribute to spreading the fungus that causes WNS, motivating development of a joint framework that exploits the known biological relationship. We introduce a Bayesian, joint spatial modeling framework that provides inferences about the impact of WNS on measures of relative bat activity and accounts for the uncertainty in estimation of WNS presence at non-surveyed locations. Our simulations demonstrate that the joint model produced more precise estimates of disease occurrence and unbiased estimates of the association between disease presence and the count response relative to competing two-step approaches. Our statistical framework provides a solution that leverages disparate monitoring activities and informs species conservation across large landscapes. Stan code and documentation are provided to facilitate access and adaptation for other wildlife disease applications.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s13253-023-00593-8","usgsCitation":"Stratton, C., Irvine, K., Banner, K., Almberg, E.S., Bachen, D., and Smucker, K., 2025, Joint spatial modeling bridges the gap between disparate disease surveillance and population monitoring efforts informing conservation of at-risk bat species: Journal of Agricultural, Biological and Environmental Statistics, v. 30, p. 120-145, https://doi.org/10.1007/s13253-023-00593-8.","productDescription":"26 p.","startPage":"120","endPage":"145","ipdsId":"IP-154743","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":440317,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s13253-023-00593-8","text":"Publisher Index Page"},{"id":426055,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","noUsgsAuthors":false,"publicationDate":"2024-02-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Stratton, Christian","contributorId":265905,"corporation":false,"usgs":false,"family":"Stratton","given":"Christian","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":895499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irvine, Kathryn 0000-0002-6426-940X","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":221555,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":895500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Banner, Katharine M.","contributorId":244876,"corporation":false,"usgs":false,"family":"Banner","given":"Katharine M.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":895501,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Almberg, Emily S.","contributorId":198304,"corporation":false,"usgs":false,"family":"Almberg","given":"Emily","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":895502,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bachen, Daniel","contributorId":207015,"corporation":false,"usgs":false,"family":"Bachen","given":"Daniel","email":"","affiliations":[{"id":36895,"text":"Montana Natural Heritage Program","active":true,"usgs":false}],"preferred":false,"id":895503,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smucker, Kristina","contributorId":334394,"corporation":false,"usgs":false,"family":"Smucker","given":"Kristina","email":"","affiliations":[{"id":39047,"text":"Montana Fish, Wildlife, and Parks","active":true,"usgs":false}],"preferred":false,"id":895504,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70262066,"text":"70262066 - 2025 - Comparing the efficacy of two immobilization drug combinations for the chemical restraint of bobcats (Lynx rufus)","interactions":[],"lastModifiedDate":"2025-01-10T17:24:23.544362","indexId":"70262066","displayToPublicDate":"2024-01-12T11:20:02","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Comparing the efficacy of two immobilization drug combinations for the chemical restraint of bobcats (<i>Lynx rufus</i>)","title":"Comparing the efficacy of two immobilization drug combinations for the chemical restraint of bobcats (Lynx rufus)","docAbstract":"<p><span>Chemical immobilization agents that provide rapid induction time, short duration of action, wide margin of safety, and postreversal recovery are important attributes to the handling process of immobilized animals. We evaluated differences in induction, recovery, and physiologic parameters in 23 (13 female, nine adults and four yearlings; 10 male, nine adults and one yearling) free-ranging bobcats (</span><i>Lynx rufus</i><span>) chemically immobilized with an intramuscular combination of ketamine (10 mg/kg) and xylazine (KX; 1.5 mg/kg;&nbsp;</span><i>n</i><span>=11) or a combination of butorphanol (0.8 mg/ kg), azaperone (0.27 mg/kg), and medetomidine (BAM; 0.32 mg/kg;&nbsp;</span><i>n</i><span>=12). Induction parameters, time to first effect, hemoglobin oxygen saturation, and anesthesia between bobcats administered KX and BAM were similar. Pulse rate was significantly higher for KX than for BAM. Time to standing and full recovery after reversal were faster for bobcats administered BAM than KX. Six of 11 (55%) bobcats given KX were effectively immobilized with a single injection, and five required additional drugs to allow adequate time for processing. Of 12 bobcats given BAM, six (50%) were effectively immobilized with a single injection, three (25%) individuals were not completely immobilized and required additional doses to allow adequate time for processing, and three (25%) required additional doses after complete arousal during processing. We found that BAM provided reduced sedation and processing times (&lt;30 min), whereas KX provided extended sedation and processing times beyond 30 min. We suggest that researchers increase initial BAM drug volumes for yearling and adult bobcats at time of processing and consider taking appropriate safety precautions when handling free-ranging bobcats.</span></p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/jwd-d-22-00012","usgsCitation":"Jacques, C., Klaver, R.W., DePerno, C.S., and Rockhill, A.P., 2025, Comparing the efficacy of two immobilization drug combinations for the chemical restraint of bobcats (Lynx rufus): Journal of Wildlife Diseases, v. 60, no. 1, p. 86-94, https://doi.org/10.7589/jwd-d-22-00012.","productDescription":"9 p.","startPage":"86","endPage":"94","ipdsId":"IP-120144","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":466009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jacques, Christopher N.","contributorId":348104,"corporation":false,"usgs":false,"family":"Jacques","given":"Christopher N.","affiliations":[{"id":49637,"text":"Western Illinois University","active":true,"usgs":false}],"preferred":false,"id":922942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":922941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DePerno, Christopher S.","contributorId":10327,"corporation":false,"usgs":true,"family":"DePerno","given":"Christopher","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":922943,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rockhill, Aimee P.","contributorId":221731,"corporation":false,"usgs":false,"family":"Rockhill","given":"Aimee","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":922944,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70271395,"text":"70271395 - 2025 - 3D Dynamic rupture modeling of the 6 February 2023, Kahramanmaraş, Turkey Mw 7.8 and 7.7 earthquake doublet using early observations","interactions":[],"lastModifiedDate":"2025-09-11T14:30:00.058998","indexId":"70271395","displayToPublicDate":"2023-12-01T09:22:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10542,"text":"The Seismic Record","active":true,"publicationSubtype":{"id":10}},"displayTitle":"3D Dynamic rupture modeling of the 6 February 2023, Kahramanmaraş, Turkey M<sub>w</sub> 7.8 and 7.7 earthquake doublet using early observations","title":"3D Dynamic rupture modeling of the 6 February 2023, Kahramanmaraş, Turkey Mw 7.8 and 7.7 earthquake doublet using early observations","docAbstract":"<p><span>The 2023 Turkey earthquake sequence involved unexpected ruptures across numerous fault segments. We present 3D dynamic rupture simulations to illuminate the complex dynamics of the earthquake doublet. Our models are constrained by observations available within days of the sequence and deliver timely, mechanically consistent explanations of the unforeseen rupture paths, diverse rupture speeds, multiple slip episodes, heterogeneous fault offsets, locally strong shaking, and fault system interactions. Our simulations link both earthquakes, matching geodetic and seismic observations and reconciling regional seismotectonics, rupture dynamics, and ground motions of a fault system represented by 10 curved dipping segments and embedded in a heterogeneous stress field. The <i><strong>M</strong></i><sub>w</sub></span><span>&nbsp;7.8 earthquake features delayed backward branching from a steeply branching splay fault, not requiring supershear speeds. The asymmetrical dynamics of the distinct, bilateral <i><strong>M</strong></i><sub>w</sub></span><span>&nbsp;7.7 earthquake are explained by heterogeneous fault strength, prestress orientation, fracture energy, and static stress changes from the previous earthquake. Our models explain the northward deviation of its eastern rupture and the minimal slip observed on the Sürgü fault. 3D dynamic rupture scenarios can elucidate unexpected observations shortly after major earthquakes, providing timely insights for data‐driven analysis and hazard assessment toward a comprehensive, physically consistent understanding of the mechanics of multifault systems.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0320230028","collaboration":"Scripps Institution of Oceanography at UCSD; LMU Munich","usgsCitation":"Gabriel, A., Ulrich, T., Marchandon, M., Biemiller, J.B., and Rekoske, J., 2025, 3D Dynamic rupture modeling of the 6 February 2023, Kahramanmaraş, Turkey Mw 7.8 and 7.7 earthquake doublet using early observations: The Seismic Record, v. 3, no. 4, p. 342-356, https://doi.org/10.1785/0320230028.","productDescription":"15 p.","startPage":"342","endPage":"356","ipdsId":"IP-156921","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":495364,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0320230028","text":"Publisher Index Page"},{"id":495309,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Turkey","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              25.222044480407874,\n              41.70234913656259\n            ],\n            [\n              25.222044480407874,\n              35.876326576331095\n            ],\n            [\n              38.29831189096615,\n              35.876326576331095\n            ],\n            [\n              38.29831189096615,\n              41.70234913656259\n            ],\n            [\n              25.222044480407874,\n              41.70234913656259\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"3","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Gabriel, Alice-Agnes","contributorId":204611,"corporation":false,"usgs":false,"family":"Gabriel","given":"Alice-Agnes","email":"","affiliations":[{"id":36958,"text":"LMU Munich, Germany","active":true,"usgs":false}],"preferred":false,"id":948365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ulrich, Thomas","contributorId":204613,"corporation":false,"usgs":false,"family":"Ulrich","given":"Thomas","email":"","affiliations":[{"id":36958,"text":"LMU Munich, Germany","active":true,"usgs":false}],"preferred":false,"id":948366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marchandon, Mathilde","contributorId":361195,"corporation":false,"usgs":false,"family":"Marchandon","given":"Mathilde","affiliations":[{"id":78422,"text":"LMU Munich","active":true,"usgs":false}],"preferred":false,"id":948367,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Biemiller, James Burkhardt 0000-0001-6663-7811","orcid":"https://orcid.org/0000-0001-6663-7811","contributorId":343684,"corporation":false,"usgs":true,"family":"Biemiller","given":"James","email":"","middleInitial":"Burkhardt","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":948368,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rekoske, John","contributorId":361197,"corporation":false,"usgs":false,"family":"Rekoske","given":"John","affiliations":[{"id":39679,"text":"Scripps Institution of Oceanography, UCSD","active":true,"usgs":false}],"preferred":false,"id":948369,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70266503,"text":"70266503 - 2025 - Seasonal spatial ecology of Lake Trout in Lake Erie","interactions":[],"lastModifiedDate":"2025-05-09T15:25:35.326609","indexId":"70266503","displayToPublicDate":"2023-09-25T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal spatial ecology of Lake Trout in Lake Erie","docAbstract":"<p>Objective</p><p><span>Lake Trout&nbsp;</span><i>Salvelinus namaycush</i><span>&nbsp;are native coldwater apex predators that play an important role in maintaining ecosystem functionality and diversity in the Laurentian Great Lakes. Following population collapses, rehabilitation efforts were widely initiated in the Great Lakes to reestablish self‐sustaining Lake Trout populations. Lake Erie may pose a challenge to these rehabilitation efforts due to limited availability of appropriate oxythermal habitat. Our goal was to investigate seasonal habitat use of adult Lake Trout in Lake Erie to inform management and rehabilitation efforts.</span></p><p><span>Methods</span></p><p><span>We used acoustic telemetry in Lake Erie, which was equipepd with a lake‐wide acoustic receiver grid, to quantify Lake Trout seasonal region occupancy, dispersal distances, bottom depth occupancy, space use extent, and space use overlap.</span></p><p><span>Result</span></p><p><span>We found that 32% of fish tagged in the eastern basin and all fish from the western basin dispersed more than 100 km from their tagging location, which represents a greater proportion of the population moving long distances than what has been previously documented in the Great Lakes. During stratification, Lake Trout were detected almost exclusively in the offshore eastern basin in areas where water depth exceeded 25 m. During nonstratified seasons, fish used other regions of the lake, occupying areas of highly variable depths. During fall, most fish tagged in the eastern basin occupied habitat along the southern shore of the eastern basin. Fish tagged in the western basin returned to this region in the fall of subsequent years despite occupying the offshore eastern basin during stratification and having depth occupancy, home range size, and overlap similar to that of eastern basin‐tagged fish. Fish size was positively correlated with receiver depth during winter and spring, and with home range overlap during spring and summer.</span></p><p><span>Conclusion</span></p><p><span>The results of this study can begin to inform management decisions regarding stocking locations, harvest regulations, and habitat restoration to facilitate the continued rehabilitation of this important native species.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1002/tafs.10430","usgsCitation":"Funnell, T., Brenden, T., Kraus, R., MacDougall, T., Markham, J., Murray, C.R., Robinson, J., and Vandergoot, C., 2025, Seasonal spatial ecology of Lake Trout in Lake Erie: Transactions of the American Fisheries Society, v. 152, no. 5, p. 672-693, https://doi.org/10.1002/tafs.10430.","productDescription":"22 p.","startPage":"672","endPage":"693","ipdsId":"IP-147724","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":489775,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/tafs.10430","text":"Publisher Index Page"},{"id":485651,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Erie","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83.64944329899429,\n              41.51580044260001\n            ],\n            [\n              -82.51869251123252,\n              41.29110603376694\n            ],\n            [\n              -81.28782100546219,\n              41.660571299524435\n            ],\n            [\n              -78.97904490351347,\n              42.371465449623486\n            ],\n            [\n              -78.53770879510445,\n              42.8933192827144\n            ],\n            [\n              -79.71226204625849,\n              43.01731540218874\n            ],\n            [\n              -80.99357134777507,\n              42.83042392061225\n            ],\n            [\n              -83.40636998730963,\n              42.19691200067402\n            ],\n            [\n              -83.64944329899429,\n              41.51580044260001\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"152","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-09-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Funnell, Tyler","contributorId":354777,"corporation":false,"usgs":false,"family":"Funnell","given":"Tyler","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":936379,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brenden, Travis","contributorId":354778,"corporation":false,"usgs":false,"family":"Brenden","given":"Travis","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":936380,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kraus, Richard 0000-0003-4494-1841","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":216548,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":936382,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"MacDougall, Tom","contributorId":354780,"corporation":false,"usgs":false,"family":"MacDougall","given":"Tom","affiliations":[{"id":12864,"text":"OMNRF","active":true,"usgs":false}],"preferred":false,"id":936383,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Markham, James","contributorId":354781,"corporation":false,"usgs":false,"family":"Markham","given":"James","affiliations":[{"id":39079,"text":"NYSDEC","active":true,"usgs":false}],"preferred":false,"id":936384,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Murray, Charles Richard","contributorId":34115,"corporation":false,"usgs":true,"family":"Murray","given":"Charles","email":"","middleInitial":"Richard","affiliations":[{"id":36966,"text":"Pennsylvania Fish and Boat Commission","active":true,"usgs":false}],"preferred":false,"id":936608,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Robinson, Jason","contributorId":354782,"corporation":false,"usgs":false,"family":"Robinson","given":"Jason","affiliations":[{"id":39079,"text":"NYSDEC","active":true,"usgs":false}],"preferred":false,"id":936385,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vandergoot, Christopher  S.","contributorId":354783,"corporation":false,"usgs":false,"family":"Vandergoot","given":"Christopher  S.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":936386,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70263789,"text":"70263789 - 2025 - Reconnaissance basement geology and tectonics of North Zealandia","interactions":[],"lastModifiedDate":"2025-02-24T15:32:53.47628","indexId":"70263789","displayToPublicDate":"2023-09-12T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"Reconnaissance basement geology and tectonics of North Zealandia","docAbstract":"<p><span>New rock dredge samples supply key information to establish the tectonic and geological framework of the northern two-thirds of the 95% submerged Zealandia continent. The R/V&nbsp;</span><i>Investigator</i><span>&nbsp;voyage IN2016T01 to the Fairway Ridge, Coral Sea, obtained poorly sorted poly-lithologic pebbly to cobbly sandstones, well sorted fine grained sandstones, mudstones, bioclastic limestones, and basaltic lavas. Post-cruise analytical work comprised petrography, whole rock geochemical and Sr and Nd isotopic analyses, and U-Pb zircon, Rb-Sr, and Ar-Ar geochronology. A Fairway Ridge cobbly sandstone has a ∼95&nbsp;Ma (early Late Cretaceous) depositional age; two biotite granite cobbles are 111&nbsp;±&nbsp;1 and 128&nbsp;±&nbsp;1&nbsp;Ma in age, and some volcanic pebbles are also likely Early Cretaceous. Fairway Ridge basalts have intraplate alkaline chemistry and are of Late Eocene age (∼40–36&nbsp;Ma). By analogy with South Zealandia, we interpret strong positive continental magnetic anomalies of North Zealandia to mainly result from Late Cretaceous to Cenozoic intraplate basalts, many of them rift-related lavas. A new basement geological map of North Zealandia shows the position of the Mesozoic Gondwana magmatic arc axis (Median Batholith) and other major geological units. This study completes onland and offshore reconnaissance geological mapping of the entire 5&nbsp;Mkm</span><sup>2</sup><span>&nbsp;Zealandia continent.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023TC007961","usgsCitation":"Mortimer, N., Williams, S., Seton, M., Calvert, A.T., Waight, T., Turnbull, R., Nelson, D., Palin, M., Ramezani, J., Sagar, M., Tulloch, A., Stratford, W., Collot, J., and Etienne, S., 2025, Reconnaissance basement geology and tectonics of North Zealandia: Tectonics, v. 42, no. 10, e2023TC007961, 28 p., https://doi.org/10.1029/2023TC007961.","productDescription":"e2023TC007961, 28 p.","ipdsId":"IP-155445","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":498010,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023tc007961","text":"Publisher Index Page"},{"id":482377,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"North Zealandia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              172.01042249909824,\n              -33.97682665352448\n            ],\n            [\n              172.01042249909824,\n              -41.76736180668727\n            ],\n            [\n              179.05493691804872,\n              -41.76736180668727\n            ],\n            [\n              179.05493691804872,\n              -33.97682665352448\n            ],\n            [\n              172.01042249909824,\n              -33.97682665352448\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  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,{"id":70247925,"text":"70247925 - 2025 - A new genomic resource to enable standardized surveys of SNPs across the native range of brook trout (Salvelinus fontinalis)","interactions":[],"lastModifiedDate":"2025-06-12T15:16:30.011322","indexId":"70247925","displayToPublicDate":"2023-08-16T07:14:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2776,"text":"Molecular Ecology Resources","active":true,"publicationSubtype":{"id":10}},"title":"A new genomic resource to enable standardized surveys of SNPs across the native range of brook trout (Salvelinus fontinalis)","docAbstract":"<p>Understanding how genetic diversity is distributed across spatiotemporal scales in species of conservation or management concern is critical for identifying large-scale mechanisms affecting local conservation status and implementing large-scale biodiversity monitoring programmes. However, cross-scale surveys of genetic diversity are often impractical within single studies, and combining datasets to increase spatiotemporal coverage is frequently impeded by using different sets of molecular markers. Recently developed molecular tools make surveys based on standardized single-nucleotide polymorphism (SNP) panels more feasible than ever, but require existing genomic information. Here, we conduct the first survey of genome-wide SNPs across the native range of brook trout (Salvelinus fontinalis), a cold-adapted species that has been the focus of considerable conservation and management effort across eastern North America. Our dataset can be leveraged to easily design SNP panels that allow datasets to be combined for large-scale analyses. We performed restriction site-associated DNA sequencing for wild brook trout from 82 locations spanning much of the native range and domestic brook trout from 24 hatchery strains used in stocking efforts. We identified over 24,000 SNPs distributed throughout the brook trout genome. We explored the ability of these SNPs to resolve relationships across spatial scales, including population structure and hatchery admixture. Our dataset captures a wide spectrum of genetic diversity in native brook trout, offering a valuable resource for developing SNP panels. We highlight potential applications of this resource with the goal of increasing the integration of genomic information into decision-making for brook trout and other species of conservation or management concern.</p>","language":"English","publisher":"Wiley","doi":"10.1111/1755-0998.13853","usgsCitation":"Mamoozadeh, N., Whiteley, A., Letcher, B., Kazyak, D.C., Tarsa, C., and Meek, M.H., 2025, A new genomic resource to enable standardized surveys of SNPs across the native range of brook trout (Salvelinus fontinalis): Molecular Ecology Resources, v. 25, no. 5, e13853, 20 p., https://doi.org/10.1111/1755-0998.13853.","productDescription":"e13853, 20 p.","ipdsId":"IP-131140","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science 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