{"pageNumber":"41","pageRowStart":"1000","pageSize":"25","recordCount":68802,"records":[{"id":70261959,"text":"70261959 - 2025 - Public, bottled, and private drinking water: Shared contaminant-mixture exposures and effects challenge","interactions":[],"lastModifiedDate":"2025-01-07T15:28:51.665345","indexId":"70261959","displayToPublicDate":"2025-01-01T08:14:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1523,"text":"Environment International","active":true,"publicationSubtype":{"id":10}},"title":"Public, bottled, and private drinking water: Shared contaminant-mixture exposures and effects challenge","docAbstract":"<p>BACKGROUND: Humans are primary drivers of environmental contaminant exposures worldwide, including in drinking-water (DW). In the United States (US), point-of-use DW (POU DW) is supplied via private tapwater (TW, predominantly private wells), public-supply TW, and bottled water (BW). Differences in management, monitoring, and messaging and lack of directly intercomparable exposure data influence the actual and perceived quality and safety of different DW supplies and directly impact consumer decision making. </p><p>OBJECTIVES: The purpose of this paper is to provide a meta-analysis (quantitative synthesis) of POU DW contaminant mixture exposures and corresponding potential human health effects of private-TW, public-TW, and BW by aggregating exposure results and harmonizing apical health benchmark weighted and bioactivity weighted effects predictions across previous studies by this research group. </p><p>DISCUSSION: Simultaneous exposures to multiple inorganic and organic contaminants of known or suspected human-health concern are common across all three DW supplies, with substantial variability observed in each and no systematic difference in predicted cumulative risk between supply chains. Differences in contaminant or contaminant class exposures (e.g., trace metals, disinfection byproducts), with important implications for DW quality improvements, were observed and attributed to corresponding differences in regulation and compliance monitoring. </p><p>CONCLUSION: The results indicate that human-health risks from contaminant exposures are common to and comparable in all three DW supplies, including BW. Importantly, this study’s target analytical coverage, which exceeds that currently feasible for water purveyors or homeowners, nevertheless is a substantial underestimation of the full breadth of contaminant mixtures in the environment and potentially present in DW. Thus, the results emphasize the need for improved understanding of the adverse human-health implications of long-term exposures to low level inorganic /organic contaminant mixtures across all three distribution pipelines and do not support commercial messaging of BW as a systematically safer alternative to public-TW. Regardless of the supply, increased engagement in source-water protection and drinking-water treatment, including consumer point of use treatment, is necessary to reduce risks associated with long-term DW contaminant exposures, especially in vulnerable populations, and to reduce environmental waste and plastics contamination.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envint.2024.109220","usgsCitation":"Bradley, P., Romanok, K., Smalling, K., Gordon, S.E., Huffman, B.J., Friedman, K., Villeneuve, D.L., Blackwell, B., Fitzpatrick, S.C., Focazio, M., Medlock-Kakaley, E., Meppelink, S., Navas-Acien, A., Nigra, A.E., and Schreiner, M., 2025, Public, bottled, and private drinking water: Shared contaminant-mixture exposures and effects challenge: Environment International, v. 195, 109220, 18 p., https://doi.org/10.1016/j.envint.2024.109220.","productDescription":"109220, 18 p.","ipdsId":"IP-124216","costCenters":[{"id":13634,"text":"South Atlantic Water Science 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University Mailman School of Public Health","active":true,"usgs":false}],"preferred":false,"id":922433,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Nigra, Anne E.","contributorId":303387,"corporation":false,"usgs":false,"family":"Nigra","given":"Anne","email":"","middleInitial":"E.","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":922434,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Schreiner, Molly L. 0000-0001-9306-5564","orcid":"https://orcid.org/0000-0001-9306-5564","contributorId":296363,"corporation":false,"usgs":true,"family":"Schreiner","given":"Molly L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922435,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70269033,"text":"70269033 - 2025 - Predictability and behavior of water transfers across basin boundaries","interactions":[],"lastModifiedDate":"2025-07-15T15:23:21.548418","indexId":"70269033","displayToPublicDate":"2024-12-31T10:12:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Predictability and behavior of water transfers across basin boundaries","docAbstract":"<p><span>Inter-basin water transfers (IBTs) are important components of water balances of basins, and they can have substantial impact on regional water availability. Flow information is often not available at locations with known IBTs, which is a drawback in several published IBT databases. Few, if any, studies examine whether IBT flow behavior can be generalized, and if these behaviors can be predicted at undocumented locations or known IBT locations with no flow information. In this study, we employ a clustering method based on image matching to identify similar classes of flow behavior of IBTs. Machine learning models are used to assess how well IBT flow characteristics (e.g., average flow) associated with these behaviors can be predicted. These evaluations of IBTs are done for two regions in the United States. Three primary classes of IBTs (seasonal, nonseasonal/not mixed, and seasonal/mixed) are identified across the two regions analyzed. The IBT flow characteristics are accurately predicted in the northeast region. In the Colorado region, however, only the flow characteristics related to timing were accurately predicted. These results indicate that the proposed modeling framework can be used to identify generalizable IBT flow characteristics. This framework is shown to predict flow characteristics with a reasonable amount of accuracy to undocumented locations and improves previously published IBT databases by backfilling flow information to locations with a known IBT presence.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.13250","usgsCitation":"Eng, K., Medalie, L., Skinner, K.D., Ivahnenko, T., Heilman, J.A., and Smith, J.D., 2025, Predictability and behavior of water transfers across basin boundaries: Journal of the American Water Resources Association, v. 61, e13250, 15 p., https://doi.org/10.1111/1752-1688.13250.","productDescription":"e13250, 15 p.","ipdsId":"IP-147952","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":497991,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.13250","text":"Publisher Index Page"},{"id":492245,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, Delaware, Kansas, Maryland, Massachusetts, Nebraska, New Jersey, New Mexico, New York, Ohio, Oklahoma, Pennsylvania, Utah, Vermont, Virginia, West Virginia, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -72.75734409961451,\n              45.09868924907843\n            ],\n            [\n              -80.97443752275147,\n              45.09868924907843\n            ],\n            [\n              -80.97443752275147,\n              38.117403832345445\n            ],\n            [\n              -72.75734409961451,\n              38.117403832345445\n            ],\n            [\n              -72.75734409961451,\n              45.09868924907843\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.52129035595209,\n              41.629774044376546\n            ],\n            [\n              -110.52129035595209,\n              35.490831922925224\n            ],\n            [\n              -100.9978185470249,\n              35.490831922925224\n            ],\n            [\n              -100.9978185470249,\n              41.629774044376546\n            ],\n            [\n              -110.52129035595209,\n              41.629774044376546\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"61","noUsgsAuthors":false,"publicationDate":"2024-12-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Eng, Ken 0000-0001-6838-5849 keng@usgs.gov","orcid":"https://orcid.org/0000-0001-6838-5849","contributorId":3580,"corporation":false,"usgs":true,"family":"Eng","given":"Ken","email":"keng@usgs.gov","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":942990,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Medalie, Laura 0000-0002-2440-2149","orcid":"https://orcid.org/0000-0002-2440-2149","contributorId":258234,"corporation":false,"usgs":true,"family":"Medalie","given":"Laura","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":942991,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skinner, Kenneth D. 0000-0003-1774-6565","orcid":"https://orcid.org/0000-0003-1774-6565","contributorId":204388,"corporation":false,"usgs":true,"family":"Skinner","given":"Kenneth","middleInitial":"D.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":942992,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ivahnenko, Tamara 0000-0002-1124-7688","orcid":"https://orcid.org/0000-0002-1124-7688","contributorId":344276,"corporation":false,"usgs":false,"family":"Ivahnenko","given":"Tamara","affiliations":[{"id":34498,"text":"USGS retiree","active":true,"usgs":false}],"preferred":false,"id":942993,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heilman, Julian A. 0000-0002-2987-4057 jahr@usgs.gov","orcid":"https://orcid.org/0000-0002-2987-4057","contributorId":202192,"corporation":false,"usgs":true,"family":"Heilman","given":"Julian","email":"jahr@usgs.gov","middleInitial":"A.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":942994,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Jared David 0000-0003-3124-8255","orcid":"https://orcid.org/0000-0003-3124-8255","contributorId":329716,"corporation":false,"usgs":true,"family":"Smith","given":"Jared","email":"","middleInitial":"David","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":942995,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70262583,"text":"70262583 - 2025 - Ensemble methods for parameter estimation of WRF-Hydro","interactions":[],"lastModifiedDate":"2025-01-21T17:12:52.004655","indexId":"70262583","displayToPublicDate":"2024-12-30T11:07:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Ensemble methods for parameter estimation of WRF-Hydro","docAbstract":"<p><span>The WRF-Hydro hydrological model has been used in many applications in the past with some level of history matching in the majority of these studies. In this study, we use the iterative Ensemble Smoother (iES), a powerful parameter estimation methodology implemented in the open-source PEST++ software. The iES provides an ensemble solution with an uncertainty bound instead of a single best estimate which has been the common approach in the previous WRF-Hydro studies. We discuss the importance of accounting for observation noise which results in a wider spread in the model solution. We investigate the impact of constructing objective functions by differentially weighting the observations to tune the model response toward model outputs appropriate for a specific application. Results confirm the necessity of differentially weighting the observations before calculation of the objective function as the optimization algorithm struggles with calculating parameter updates with uniform weighting. We also show that we achieve better model performance in terms of verification metrics with higher emphasis on the high flow events, when the objective function is tuned toward an application where the extreme events are of importance. We then investigate the impact of estimating more parameters, in particular we estimate a larger number of snow parameters. Results show a large improvement in the model performance. In summary, our study demonstrates the efficacy of employing iES alongside differential weighting of observations, highlighting its potential to enhance hydrological model parameter estimation.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024WR038048","usgsCitation":"RafieeiNasab, A., Fienen, M., Omani, N., Srivastava, I., and Dugger, A., 2025, Ensemble methods for parameter estimation of WRF-Hydro: Water Resources Research, v. 61, no. 1, e2024WR038048, 32 p., https://doi.org/10.1029/2024WR038048.","productDescription":"e2024WR038048, 32 p.","ipdsId":"IP-172257","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":481033,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024wr038048","text":"Publisher Index Page"},{"id":480841,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-12-30","publicationStatus":"PW","contributors":{"authors":[{"text":"RafieeiNasab, Arezoo","contributorId":349704,"corporation":false,"usgs":false,"family":"RafieeiNasab","given":"Arezoo","affiliations":[{"id":24610,"text":"NCAR","active":true,"usgs":false}],"preferred":false,"id":924612,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fienen, Michael N. 0000-0002-7756-4651","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":245632,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924613,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Omani, Nina","contributorId":349705,"corporation":false,"usgs":false,"family":"Omani","given":"Nina","affiliations":[{"id":24610,"text":"NCAR","active":true,"usgs":false}],"preferred":false,"id":924614,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Srivastava, Ishita","contributorId":349706,"corporation":false,"usgs":false,"family":"Srivastava","given":"Ishita","affiliations":[{"id":24610,"text":"NCAR","active":true,"usgs":false}],"preferred":false,"id":924615,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dugger, Aubrey","contributorId":349707,"corporation":false,"usgs":false,"family":"Dugger","given":"Aubrey","affiliations":[{"id":24610,"text":"NCAR","active":true,"usgs":false}],"preferred":false,"id":924616,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70262315,"text":"70262315 - 2025 - A universal method for the simultaneous determination of environmental pollutants in marine biological samples: Per- and polyfluoroalkyl substances and antibiotics as a case study","interactions":[],"lastModifiedDate":"2025-01-16T17:57:48.099671","indexId":"70262315","displayToPublicDate":"2024-12-26T11:55:22","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10742,"text":"ACS ES&T Water","active":true,"publicationSubtype":{"id":10}},"title":"A universal method for the simultaneous determination of environmental pollutants in marine biological samples: Per- and polyfluoroalkyl substances and antibiotics as a case study","docAbstract":"<p><span>Conventional detection technologies for environmental contaminants have primarily focused on providing accurate qualitative and quantitative evaluations for single pollutant types, leading to increased costs and an inability to satisfy the growing demand for detecting a broader spectrum of pollutants. Here, we introduced a novel analytical method to simultaneously measure the concentration levels of diverse environmental pollutants, characterized by their distinct properties, across complex biological samples. Per- and polyfluoroalkyl substances (PFAS) and antibiotics were used as a case study due to their frequency of detection in the environment and known impacts Our method harnesses the salting-out effect of sodium chloride on proteins within the muscle tissues of 178 marine species, which significantly reduces the addition of extraneous substances, mitigates matrix interference, and avoids reliance on solid-phase extraction or dispersive extraction agents. The method provides a simultaneous pretreatment for the detection of several compounds, with detection limits from 0.002 to 0.41 ng/g dry weight, which are substantially lower than conventional methods. Overall, this method streamlines efficiency, decreases costs, lessens matrix effects, and sets a solid groundwork for future applications in the concurrent detection of a broader spectrum of environmentally pertinent pollutants with varied characteristics.</span></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acsestwater.4c00843","usgsCitation":"Fang, D., Yang, G., Xu, B., Li, J., Lin, J., Zheng, C., Magnuson, J.T., and Qiu, W., 2025, A universal method for the simultaneous determination of environmental pollutants in marine biological samples: Per- and polyfluoroalkyl substances and antibiotics as a case study: ACS ES&T Water, v. 5, no. 1, p. 274-283, https://doi.org/10.1021/acsestwater.4c00843.","productDescription":"10 p.","startPage":"274","endPage":"283","ipdsId":"IP-169418","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":466651,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-12-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Fang, Di","contributorId":348832,"corporation":false,"usgs":false,"family":"Fang","given":"Di","affiliations":[{"id":80251,"text":"Southern University of Science and Technology, China","active":true,"usgs":false}],"preferred":false,"id":923818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yang, Ge","contributorId":340033,"corporation":false,"usgs":false,"family":"Yang","given":"Ge","email":"","affiliations":[{"id":81428,"text":"Southern University of Science and Technology - China","active":true,"usgs":false}],"preferred":false,"id":923819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xu, Bentuo","contributorId":329839,"corporation":false,"usgs":false,"family":"Xu","given":"Bentuo","email":"","affiliations":[{"id":78729,"text":"Wenzhou University","active":true,"usgs":false}],"preferred":false,"id":923820,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Li, Jialin","contributorId":348835,"corporation":false,"usgs":false,"family":"Li","given":"Jialin","affiliations":[{"id":80248,"text":"Ningbo University, China","active":true,"usgs":false}],"preferred":false,"id":923821,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lin, Jiayi","contributorId":348836,"corporation":false,"usgs":false,"family":"Lin","given":"Jiayi","affiliations":[{"id":80251,"text":"Southern University of Science and Technology, China","active":true,"usgs":false}],"preferred":false,"id":923822,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zheng, Chunmiao","contributorId":214041,"corporation":false,"usgs":false,"family":"Zheng","given":"Chunmiao","email":"","affiliations":[{"id":16675,"text":"U Alabama","active":true,"usgs":false}],"preferred":false,"id":923823,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Magnuson, Jason Tyler 0000-0001-6841-8014","orcid":"https://orcid.org/0000-0001-6841-8014","contributorId":329838,"corporation":false,"usgs":true,"family":"Magnuson","given":"Jason","email":"","middleInitial":"Tyler","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":923824,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Qiu, Wenhui","contributorId":334797,"corporation":false,"usgs":false,"family":"Qiu","given":"Wenhui","email":"","affiliations":[{"id":80251,"text":"Southern University of Science and Technology, China","active":true,"usgs":false}],"preferred":false,"id":923825,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70261857,"text":"70261857 - 2025 - Biophysical simulation of wetland surface water flow to predict changing water availability in the Everglades","interactions":[],"lastModifiedDate":"2025-01-02T14:21:26.307264","indexId":"70261857","displayToPublicDate":"2024-12-25T09:40:11","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Biophysical simulation of wetland surface water flow to predict changing water availability in the Everglades","docAbstract":"A central challenge for water managers is to adaptively manage water availability to meet societal needs while simultaneously protecting ecosystems. Progress restoring the Everglades requires predictions of how overland flow of surface water can be increased to rehydrate and revive downstream areas without causing unintended harms. We developed a biophysical flow rate expression (BioFRE) that relates shallow overland flow to roughness dominated by spatially variable vegetation and microtopography. Hydraulic theory was combined with vegetation and topographic field data to quantify hydraulic roughness without calibrating the expression to fit hydrologic data. To assess changes in overland flow capacity, we benchmarked BioFRE against best available simulations of the historic Everglades and against present-day hydrologic data representing various levels of degradation. The simulations revealed that overland flow capacity of the Everglades in now half of what it was historically in the Everglades primarily because of the loss of deepwater sloughs. The relative sensitivity of simulated flows to the individual biophysical factors was quantified and related to habitat value and drought and flood resilience. Our approach can potentially be used in other flowing wetland and floodplain systems to understand and adaptively manage water and ecological resources.","language":"English","doi":"10.1016/j.ecoleng.2024.107491","usgsCitation":"Harvey, J., Choi, J., Wilcox, W., Brown, M., and Lal, W., 2025, Biophysical simulation of wetland surface water flow to predict changing water availability in the Everglades: Ecological Engineering, v. 212, 107491, 14 p., https://doi.org/10.1016/j.ecoleng.2024.107491.","productDescription":"107491, 14 p.","ipdsId":"IP-167812","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":466672,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoleng.2024.107491","text":"Publisher Index Page"},{"id":465565,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.1076224101966,\n              26.691819233104567\n            ],\n            [\n              -82.1076224101966,\n              24.751056659514802\n            ],\n            [\n              -79.55347920896048,\n              24.751056659514802\n            ],\n            [\n              -79.55347920896048,\n              26.691819233104567\n            ],\n            [\n              -82.1076224101966,\n              26.691819233104567\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"212","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Harvey, Judson 0000-0002-2654-9873","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":219104,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":922038,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Choi, Jay 0000-0003-1276-481X jchoi@usgs.gov","orcid":"https://orcid.org/0000-0003-1276-481X","contributorId":219096,"corporation":false,"usgs":true,"family":"Choi","given":"Jay","email":"jchoi@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":922039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilcox, Walter","contributorId":347595,"corporation":false,"usgs":false,"family":"Wilcox","given":"Walter","affiliations":[{"id":7036,"text":"South Florida Water Management District","active":true,"usgs":false}],"preferred":false,"id":922042,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Michael C.","contributorId":347681,"corporation":false,"usgs":false,"family":"Brown","given":"Michael C.","affiliations":[],"preferred":false,"id":922170,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lal, Wasantha","contributorId":347594,"corporation":false,"usgs":false,"family":"Lal","given":"Wasantha","affiliations":[{"id":7036,"text":"South Florida Water Management District","active":true,"usgs":false}],"preferred":false,"id":922041,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70265978,"text":"70265978 - 2025 - Identifying lakes critical to the westward spread and establishment of zebra mussels","interactions":[],"lastModifiedDate":"2025-04-23T14:57:30.214434","indexId":"70265978","displayToPublicDate":"2024-12-20T09:39:39","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Identifying lakes critical to the westward spread and establishment of zebra mussels","docAbstract":"<p><span>Damaging aquatic invasive species, such as the zebra mussel (</span><i>Dreissena polymorpha),</i><span>&nbsp;pose an ongoing concern for potential introduction and establishment in the western United States. Our study applied habitat suitability indices and network analysis to identify lakes critical to the continued westward spread and establishment of zebra mussels from a key invasion front in Texas. We created multiple networks consisting of lake nodes and connecting roadway edges. Each network represented the potential connectivity of lakes for recreational users depending on the distance boaters were likely to travel. We evaluated three networks with different maximum edge lengths based on boater movement surveys: 363-km, 125-km, and 51-km. Via graph analysis, we identified lakes critical to mussel spread by acting as hubs, stepping stones, or cutpoints in each network. Water quality-based habitat suitability indices classified most lakes in the study area as moderate to high suitability. In all networks, hubs were concentrated in northeastern Texas. At the lowest maximum edge lengths, stepping stones were also concentrated in the northeast, but could be found in the western portions of the study area as maximum travel distance increased. No cutpoints were found in the 363-km maximum edge length network, indicating a highly connected network with the potential for further western spread facilitated by stepping stones in western Texas and New Mexico. Identifying critical lakes using network analysis and habitat suitability indices provides a predictive tool for resource managers to guide the allocation of limited time and resources for management actions.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2024.110931","usgsCitation":"Creamer, D., Rogosch, J.S., Patino, R., and McGarrity, M., 2025, Identifying lakes critical to the westward spread and establishment of zebra mussels: Biological Conservation, v. 302, 110931, 12 p., https://doi.org/10.1016/j.biocon.2024.110931.","productDescription":"110931, 12 p.","ipdsId":"IP-164052","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488504,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2024.110931","text":"Publisher Index 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0000-0002-4831-8400","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":353646,"corporation":false,"usgs":false,"family":"Patino","given":"Renaldo","affiliations":[{"id":12701,"text":"US Geological Survey","active":true,"usgs":false}],"preferred":false,"id":934228,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGarrity, Monica E.","contributorId":353647,"corporation":false,"usgs":false,"family":"McGarrity","given":"Monica E.","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":934229,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70261771,"text":"70261771 - 2025 - Practical application of time-lapse camera imagery to develop water-level data for three hydrologic monitoring sites in Wisconsin during water year 2020","interactions":[],"lastModifiedDate":"2024-12-30T21:17:43.800451","indexId":"70261771","displayToPublicDate":"2024-12-19T11:03:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5836,"text":"Journal of Hydrology X","onlineIssn":"2589-9155","active":true,"publicationSubtype":{"id":10}},"title":"Practical application of time-lapse camera imagery to develop water-level data for three hydrologic monitoring sites in Wisconsin during water year 2020","docAbstract":"Using camera imagery to measure water level (camera-stage) is a well-researched area of study. Previous camera-stage studies have shown promising results when implementing this technology with tight constraints on test conditions. However, there is a need for a more comprehensive evaluation of the extensibility of camera-stage to practical applications. Therefore, the aim of this study was to test a camera-stage method under a wide variety of test conditions to better understand the successes and challenges of using this technology in real-world scenarios. In this study, this approach was tested during Water Year 2020 at three existing U.S. Geological Study (USGS) stream gaging stations in south central Wisconsin that had existing USGS water-level instrumentation. The specific reference objects tested were white pipes and a concrete wall. Since successful application of camera-stage relies on use of suitable images, all captured images in this study were visually inspected to determine suitability for application of camera-stage. Camera-stage measurements were then computed only on images deemed suitable and the results were compared with ground-truth stage values to determine the accuracy. For the purposes of this study, camera-stage values within ±0.10 ft of the actual stage were considered acceptable. One major challenge highlighted was the potential difficulty in obtaining suitable imagery, with the proportion of suitable images varying greatly between the four trials from 38 % to 92 %. The results from applying camera-stage to suitable images were encouraging though, with 79 % to 99 % of evaluated camera-stage values qualifying as acceptable among the four test trials.","language":"English","publisher":"Elsevier","doi":"10.1016/j.hydroa.2024.100199","usgsCitation":"Johnson, K.E., Reneau, P., and Komiskey, M.J., 2025, Practical application of time-lapse camera imagery to develop water-level data for three hydrologic monitoring sites in Wisconsin during water year 2020: Journal of Hydrology X, v. 26, 100199, 12 p., https://doi.org/10.1016/j.hydroa.2024.100199.","productDescription":"100199, 12 p.","ipdsId":"IP-152041","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":466673,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.hydroa.2024.100199","text":"Publisher Index Page"},{"id":465442,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","county":"Sauk County","otherGeospatial":"Lake Redstone","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -90.10509451311265,\n              43.649948800545786\n            ],\n            [\n              -90.10509451311265,\n              43.58310310760555\n            ],\n            [\n              -90.07129958906278,\n              43.58310310760555\n            ],\n            [\n              -90.07129958906278,\n              43.649948800545786\n            ],\n            [\n              -90.10509451311265,\n              43.649948800545786\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"26","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Keegan Eland 0000-0003-1940-4542","orcid":"https://orcid.org/0000-0003-1940-4542","contributorId":332782,"corporation":false,"usgs":true,"family":"Johnson","given":"Keegan","email":"","middleInitial":"Eland","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":921733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reneau, Paul 0000-0002-1335-7573","orcid":"https://orcid.org/0000-0002-1335-7573","contributorId":217293,"corporation":false,"usgs":true,"family":"Reneau","given":"Paul","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":921734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Komiskey, Matthew J. 0000-0003-2962-6974 mjkomisk@usgs.gov","orcid":"https://orcid.org/0000-0003-2962-6974","contributorId":1776,"corporation":false,"usgs":true,"family":"Komiskey","given":"Matthew","email":"mjkomisk@usgs.gov","middleInitial":"J.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":921735,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70262529,"text":"70262529 - 2025 - Intersection of wildfire and legacy mining poses risk to water quality","interactions":[],"lastModifiedDate":"2025-01-21T17:01:38.906652","indexId":"70262529","displayToPublicDate":"2024-12-19T10:56:33","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Intersection of wildfire and legacy mining poses risk to water quality","docAbstract":"<p><span>Mining and wildfires are both landscape disturbances that pose elevated and substantial hazards to water supplies and ecosystems due to increased erosion and transport of sediment, metals, and debris to downstream waters. The risk to water supplies may be amplified when these disturbances occur in the same watershed. This work describes mechanisms by which the intersection of mining and wildfire may lead to elevated metal concentrations in downstream waters: (1) conveyance of metal-rich ash and soil to surface waters, (2) increased dissolution and transport of dissolved metals due to direct contact of precipitation with mine waste, (3) increased erosion and transport of metal-rich sediment from mining waste, (4) remobilization of previously deposited metal-contaminated floodplain sediment by higher postfire flood flows, and (5) increased metal transport from underground mine workings. Predicted increases in wildfire size, frequency, and burn severity, together with the ongoing need for metal resources, indicate that improved mapping, monitoring, modeling, and mitigation techniques are needed to manage the geochemical hazard of the intersection of wildfire and mining and implications for water availability.</span></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.4c09489","usgsCitation":"Murphy, S.F., Blake, J., Ebel, B., and Martin, D., 2025, Intersection of wildfire and legacy mining poses risk to water quality: Environmental Science and Technology, v. 59, no. 1, p. 35-44, https://doi.org/10.1021/acs.est.4c09489.","productDescription":"10 p.","startPage":"35","endPage":"44","ipdsId":"IP-170471","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":481034,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.4c09489","text":"Publisher Index Page"},{"id":480837,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -89,\n              49\n            ],\n            [\n              -125.42179362139984,\n              49\n            ],\n            [\n              -125.42179362139984,\n              26.434634899152996\n            ],\n            [\n              -89,\n              26.434634899152996\n            ],\n            [\n              -89,\n              49\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"59","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":924468,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blake, Johanna 0000-0003-4667-0096","orcid":"https://orcid.org/0000-0003-4667-0096","contributorId":217272,"corporation":false,"usgs":true,"family":"Blake","given":"Johanna","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924469,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ebel, Brian A. 0000-0002-5413-3963","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":211845,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":924470,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Deborah A. 0000-0001-8237-0838","orcid":"https://orcid.org/0000-0001-8237-0838","contributorId":244709,"corporation":false,"usgs":true,"family":"Martin","given":"Deborah A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":924471,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70263701,"text":"70263701 - 2025 - Evaluating approaches for integrating species distributions in spatial conservation planning","interactions":[],"lastModifiedDate":"2025-02-24T14:14:51.37261","indexId":"70263701","displayToPublicDate":"2024-12-19T09:17:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating approaches for integrating species distributions in spatial conservation planning","docAbstract":"Map-based decision support tools (DSTs) that use species distributions are an important means of identifying priority areas for conservation. The 2020 Wisconsin Waterfowl Habitat Conservation Strategy (WWHCS) uses a DST to identify priority ecological landscapes and watersheds to guide waterfowl habitat projects. The WWHCS DST relies on waterfowl habitat suitability layers derived through expert opinion in lieu of species distributions, a common approach in DSTs. Given the inherent subjectivity of expert opinion, data-driven species distributions such as those available from citizen science projects, could provide more accurate information and better identify areas important for waterfowl conservation. Here, we explore the application of relative abundance products available through the eBird Status and Trends project as an alternative to expert-derived habitat suitability layers in the WWHCS DST. Our objectives were to compare seasonal species distributions derived from habitat suitability models (expert-derived) and species distribution models (eBird-derived) and determine whether differences influenced DST prioritizations. Correlations between expert- and eBird-derived distributions were generally low to moderate for the breeding and fall layers (ρ: -0.03–0.76), and least for the spring (ρ: -0.49–0.72). There was minimal agreement among top-ranked ecological landscapes (40%) and watersheds (28%) between the expert- and eBird-derived versions of the DST. Overall, our results suggest the DST may benefit from incorporating data-driven species distributions. However, additional work validating eBird relative abundance against professional surveys (e.g., aerial counts) and empirical studies evaluating waterfowl habitat selection and vital rates are important future considerations for the WWHCS DST and waterfowl habitat conservation in Wisconsin.","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.13281","usgsCitation":"Winiarski, J., Shipley, A., Fowler, D., Palumbo, M., and Straub, J., 2025, Evaluating approaches for integrating species distributions in spatial conservation planning: Conservation Science and Practice, v. 7, no. 1, e13281, 15 p., https://doi.org/10.1111/csp2.13281.","productDescription":"e13281, 15 p.","ipdsId":"IP-154437","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":487659,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.13281","text":"Publisher Index Page"},{"id":482268,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","volume":"7","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Winiarski, Jason M.","contributorId":351090,"corporation":false,"usgs":false,"family":"Winiarski","given":"Jason M.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":927891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shipley, Amy A.","contributorId":351091,"corporation":false,"usgs":false,"family":"Shipley","given":"Amy A.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":927892,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fowler, Drew Nathan 0000-0001-9347-4579","orcid":"https://orcid.org/0000-0001-9347-4579","contributorId":341123,"corporation":false,"usgs":true,"family":"Fowler","given":"Drew Nathan","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":927893,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Palumbo, Matthew D.","contributorId":351092,"corporation":false,"usgs":false,"family":"Palumbo","given":"Matthew D.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":927894,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Straub, Jacob N.","contributorId":351093,"corporation":false,"usgs":false,"family":"Straub","given":"Jacob N.","affiliations":[{"id":83917,"text":"Jacob N. 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,{"id":70261880,"text":"70261880 - 2025 - Examining inter-regional and intra-seasonal differences in wintering waterfowl landscape associations among Pacific and Atlantic flyways","interactions":[{"subject":{"id":70261121,"text":"70261121 - 2024 - Examining inter-regional and intra-seasonal differences in wintering waterfowl landscape associations among Pacific and Atlantic flyways","indexId":"70261121","publicationYear":"2024","noYear":false,"title":"Examining inter-regional and intra-seasonal differences in wintering waterfowl landscape associations among Pacific and Atlantic flyways"},"predicate":"SUPERSEDED_BY","object":{"id":70261880,"text":"70261880 - 2025 - Examining inter-regional and intra-seasonal differences in wintering waterfowl landscape associations among Pacific and Atlantic flyways","indexId":"70261880","publicationYear":"2025","noYear":false,"title":"Examining inter-regional and intra-seasonal differences in wintering waterfowl landscape associations among Pacific and Atlantic flyways"},"id":1}],"lastModifiedDate":"2025-05-27T15:27:07.879775","indexId":"70261880","displayToPublicDate":"2024-12-18T10:28:37","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2190,"text":"Journal of Avian Biology","active":true,"publicationSubtype":{"id":10}},"title":"Examining inter-regional and intra-seasonal differences in wintering waterfowl landscape associations among Pacific and Atlantic flyways","docAbstract":"<p><span>The Central Valley of California (CVC) and Mid-Atlantic (MA) in the U.S. are both critical sites for nationwide food security, and many waterfowl species annually, especially during the winter, providing feeding and roosting locations for a variety of species. Mapping waterfowl distributions, using NEXRAD, may aid in the adaptive management of important waterfowl habitat and allow various government agencies to better understand the interface between wild and domestic birds and commercial agricultural practices. We used 9 years (2014–2023) of data from the US NEXRAD network to model winter waterfowl relative abundance in the CVC and MA as a function of weather, temporal period, environmental conditions, and landcover characteristics using boosted regression tree modelling. We were able to quantify the variability in effect size of 28 different covariates across space and time within two geographic regions which are critical to nationwide waterfowl management and host a high density of nationally important commercial agriculture. In general, weather, geographic (distance to features), and landcover condition (wetness index) predictors had the strongest relative effect on predicting wintering waterfowl relative abundance in both regions, while effects of land cover composition were more regionally and temporally specific. Increased daily mean temperature was a major predictor of increasing relative waterfowl abundance in both regions throughout the winter. Increasing precipitation had differing effects within regions, increasing relative waterfowl abundance in the MA, while decreasing in general within the CVC. Increasing relative waterfowl abundance in the CVC are strongly tied to the flooding of the landscape and rice availability, whereas waterfowl in the MA, where water is less limiting, are generally governed by waste grain availability and emergent wetland on the landscape. Waterfowl relative abundance in the MA was generally higher nearer to the Atlantic coast and lakes, while in the CVC they were higher nearer to lakes. Our findings promote a better understanding of spatial associations of waterfowl to landscape features and may aid in conservation and biosecurity management protocols.</span></p>","language":"English","publisher":"Nordic Society Oikos","doi":"10.1111/jav.03296","usgsCitation":"Hardy, M., Williams, C.K., Ladman, B.S., Pitesky, M.E., Overton, C.T., Casazza, M.L., Matchett, E., Prosser, D., and Buler, J.J., 2025, Examining inter-regional and intra-seasonal differences in wintering waterfowl landscape associations among Pacific and Atlantic flyways: Journal of Avian Biology, v. 2025, no. 3, e03296, 16 p., https://doi.org/10.1111/jav.03296.","productDescription":"e03296, 16 p.","ipdsId":"IP-164600","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science 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K.","contributorId":202263,"corporation":false,"usgs":false,"family":"Williams","given":"Christopher","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":922122,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ladman, Brian S.","contributorId":337102,"corporation":false,"usgs":false,"family":"Ladman","given":"Brian","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":922123,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pitesky, Maurice E.","contributorId":176920,"corporation":false,"usgs":false,"family":"Pitesky","given":"Maurice","email":"","middleInitial":"E.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":922124,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Overton, Cory T. 0000-0002-5060-7447 coverton@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-7447","contributorId":3262,"corporation":false,"usgs":true,"family":"Overton","given":"Cory","email":"coverton@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":922125,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":922126,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Matchett, Elliott 0000-0001-5095-2884 ematchett@usgs.gov","orcid":"https://orcid.org/0000-0001-5095-2884","contributorId":5541,"corporation":false,"usgs":true,"family":"Matchett","given":"Elliott","email":"ematchett@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":922127,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Prosser, Diann 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":217931,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":922128,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Buler, Jeffrey J.","contributorId":194648,"corporation":false,"usgs":false,"family":"Buler","given":"Jeffrey","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":922129,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70261946,"text":"70261946 - 2025 - Intra-urban variations in land surface phenology in a semi-arid environment","interactions":[],"lastModifiedDate":"2025-01-06T15:37:37.483741","indexId":"70261946","displayToPublicDate":"2024-12-17T09:28:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Intra-urban variations in land surface phenology in a semi-arid environment","docAbstract":"<p><span>Urban vegetation is growing in importance as cities use 'green infrastructure' to mitigate the impacts of climate change, reduce extreme heat, and improve human health and comfort. However, due to the heterogeneity of city landscapes, urban vegetation experiences a diverse range of environmental conditions, potentially leading to differences in growing season timing and length within cities. Here, we investigate physical drivers of urban land surface phenology and timing within a semi-arid city (Denver, CO, USA) using four years (2018–2021) of remotely sensed vegetation indices, modelled air temperature, and land cover datasets. Within the metropolitan region study area, satellite-based vegetation index measurements indicate that growing season length is variable on sub-neighborhood spatial scales. This variability is largely due to differences in the timing of fall senescence, as opposed to early season growth. Areas with substantial fractions of irrigated land cover tend to remain greener for longer, while unirrigated and cooler areas are correlated with an earlier end to the growing season (up to ∼two months shorter). These findings complement those from non-arid cities where surface and air temperature are the dominant environmental control on phenological timing. Results here indicate the importance of soil moisture for phenology in semi-arid regions and suggest unique semi-arid urban growing season dynamics and temperature-vegetation feedbacks. These interactions have implications for water, heat, and vegetation management strategies to maximize ecosystem services in water-limited environments.</span></p>","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/ad9759","usgsCitation":"Crawford, B., Kelsey, K., Ibsen, P.C., Rees, A., and Charobee, A., 2025, Intra-urban variations in land surface phenology in a semi-arid environment: Environmental Research Letters, v. 20, no. 1, 014036, 12 p., https://doi.org/10.1088/1748-9326/ad9759.","productDescription":"014036, 12 p.","ipdsId":"IP-162227","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":466676,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ad9759","text":"Publisher Index Page"},{"id":465673,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Denver","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105.26461885813289,\n              39.98298361550752\n            ],\n            [\n              -105.26461885813289,\n              39.07785819197471\n            ],\n            [\n              -104.18241816311294,\n              39.07785819197471\n            ],\n            [\n              -104.18241816311294,\n              39.98298361550752\n            ],\n            [\n              -105.26461885813289,\n              39.98298361550752\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"20","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-12-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Crawford, Ben","contributorId":347747,"corporation":false,"usgs":false,"family":"Crawford","given":"Ben","affiliations":[{"id":16824,"text":"University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":922372,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelsey, Kathy","contributorId":347748,"corporation":false,"usgs":false,"family":"Kelsey","given":"Kathy","affiliations":[{"id":16824,"text":"University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":922373,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ibsen, Peter Christian 0000-0002-3436-9100","orcid":"https://orcid.org/0000-0002-3436-9100","contributorId":260735,"corporation":false,"usgs":true,"family":"Ibsen","given":"Peter","email":"","middleInitial":"Christian","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":922374,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rees, Amanda","contributorId":347749,"corporation":false,"usgs":false,"family":"Rees","given":"Amanda","affiliations":[{"id":16824,"text":"University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":922375,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Charobee, Amanda","contributorId":347770,"corporation":false,"usgs":false,"family":"Charobee","given":"Amanda","affiliations":[],"preferred":false,"id":922411,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70261867,"text":"70261867 - 2025 - Prioritizing US Geological Survey science on salinization and salinity in candidate and selected priority river basins","interactions":[],"lastModifiedDate":"2024-12-31T16:22:41.026156","indexId":"70261867","displayToPublicDate":"2024-12-16T11:22:31","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16706,"text":"Enviornmental Monitoring and Assessment","active":true,"publicationSubtype":{"id":10}},"title":"Prioritizing US Geological Survey science on salinization and salinity in candidate and selected priority river basins","docAbstract":"<p>The US Geological Survey (USGS) is selecting and prioritizing basins, known as Integrated Water Science basins, for monitoring and intensive study. Previous efforts to aid in this selection process include a scientifically defensible and quantitative assessment of basins facing human-caused water resource challenges (Van Metre et al. in <i>Environmental Monitoring and Assessment</i>, 192(7), 458 2020). In the present work, we explore this ranking process based on water quality considerations, specifically salinity and salinization. We selected top candidate basins to study salinity and salinization issues in 18 hydrologic regions that include 163 candidate basins. Our prioritization is based on quantitative assessment of sources of salinity, drivers of change, and receptors that must respond to those sources and drivers. Source terms represented in the prioritization include geology, depth to brackish groundwater, stream conductivity, chloride in precipitation, urban and agricultural land use, application of road salt as a deicer, and irrigation. Drivers represented in prioritization include changes in chemical weathering as a result of changes in rainwater chemistry. Receptors include measures of water stress, measurements of stream ecological health, and socioeconomic factors. In addition, we present research activities for the USGS on salinity and salinization that can be pursued in these basins including assessment of sources, pathways, and loadings; predicting and understanding changes in sources, peaks, and trends; understanding the components of salinity and mobilization of contaminants; understanding the relationship between salinization and changing ecosystems; and developing knowledge on the causes and distribution of groundwater salinity, brackish water resources, and challenges related to desalination.</p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10661-024-13264-z","usgsCitation":"Conaway, C., Baker, N.T., Brown, C., Green, C.T., and Kent, D.B., 2025, Prioritizing US Geological Survey science on salinization and salinity in candidate and selected priority river basins: Enviornmental Monitoring and Assessment, v. 197, 59, 31 p., https://doi.org/10.1007/s10661-024-13264-z.","productDescription":"59, 31 p.","ipdsId":"IP-156369","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":466677,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10661-024-13264-z","text":"Publisher Index Page"},{"id":465572,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"197","noUsgsAuthors":false,"publicationDate":"2024-12-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Conaway, Christopher H. 0000-0002-0991-033X","orcid":"https://orcid.org/0000-0002-0991-033X","contributorId":201932,"corporation":false,"usgs":true,"family":"Conaway","given":"Christopher H.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":922089,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, Nancy T. 0000-0002-7979-5744","orcid":"https://orcid.org/0000-0002-7979-5744","contributorId":222870,"corporation":false,"usgs":true,"family":"Baker","given":"Nancy","email":"","middleInitial":"T.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922090,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Craig J. 0000-0002-3858-3964","orcid":"https://orcid.org/0000-0002-3858-3964","contributorId":210450,"corporation":false,"usgs":true,"family":"Brown","given":"Craig J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922091,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Green, Christopher T. 0000-0002-6480-8194 ctgreen@usgs.gov","orcid":"https://orcid.org/0000-0002-6480-8194","contributorId":1343,"corporation":false,"usgs":true,"family":"Green","given":"Christopher","email":"ctgreen@usgs.gov","middleInitial":"T.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":922092,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kent, Douglas B. 0000-0003-3758-8322 dbkent@usgs.gov","orcid":"https://orcid.org/0000-0003-3758-8322","contributorId":1871,"corporation":false,"usgs":true,"family":"Kent","given":"Douglas","email":"dbkent@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":922093,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70261691,"text":"70261691 - 2025 - Hypothetical CO2 leakage into, and hydrological plume management within, an underground source of drinking water at a proposed CO2 storage facility, Kemper County, Mississippi, USA","interactions":[],"lastModifiedDate":"2024-12-18T16:53:53.989977","indexId":"70261691","displayToPublicDate":"2024-12-16T10:48:02","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1541,"text":"Environmental Geosciences","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Hypothetical CO<sub>2</sub> leakage into, and hydrological plume management within, an underground source of drinking water at a proposed CO<sub>2</sub> storage facility, Kemper County, Mississippi, USA","title":"Hypothetical CO2 leakage into, and hydrological plume management within, an underground source of drinking water at a proposed CO2 storage facility, Kemper County, Mississippi, USA","docAbstract":"<p><span>A large Geologic Carbon Sequestration (GCS) hub has been proposed in Kemper County, Mississippi. The target injection interval consists of numerous Cretaceous-aged deep saline aquifers overlain by a competent and extensive regional sealing layer. Above the seal, the deepest Underground Source of Drinking Water (USDW) at the site is the Eutaw aquifer of the Eutaw Group and McShan Formation, undifferentiated. To assess potential risks of leakage from the deep sequestration reservoir, a model of a portion of the Cretaceous Eutaw Group was constructed in this study. Simulations tested various permeabilities, hypothetical leakage rates, and plume mitigation strategies utilizing existing wells. Results suggest that, under the influence of regional groundwater flow fields, leaking CO</span><sub>2</sub><span>&nbsp;would effectively bypass the existing wells, and to influence this migration would require very large water extraction rates. Therefore, to ensure plume detection, monitoring for leakage at the injection wells themselves is very important.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12665-024-11973-9","usgsCitation":"Plampin, M.R., and Merrill, M., 2025, Hypothetical CO2 leakage into, and hydrological plume management within, an underground source of drinking water at a proposed CO2 storage facility, Kemper County, Mississippi, USA: Environmental Geosciences, v. 84, 18, 11 p., https://doi.org/10.1007/s12665-024-11973-9.","productDescription":"18, 11 p.","ipdsId":"IP-155011","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":466678,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12665-024-11973-9","text":"Publisher Index Page"},{"id":465284,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","county":"Kemper County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-88.3461,32.9278],[-88.3559,32.8499],[-88.3727,32.7042],[-88.3883,32.5778],[-88.5413,32.5771],[-88.5538,32.5772],[-88.7878,32.5763],[-88.8014,32.576],[-88.8134,32.5761],[-88.8167,32.5762],[-88.9135,32.5753],[-88.9161,32.8272],[-88.9158,32.8463],[-88.9169,32.9228],[-88.8131,32.9241],[-88.5676,32.9263],[-88.3461,32.9278]]]},\"properties\":{\"name\":\"Kemper\",\"state\":\"MS\"}}]}","volume":"84","noUsgsAuthors":false,"publicationDate":"2024-12-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Plampin, Michelle R. 0000-0003-4068-5801 mplampin@usgs.gov","orcid":"https://orcid.org/0000-0003-4068-5801","contributorId":204983,"corporation":false,"usgs":true,"family":"Plampin","given":"Michelle","email":"mplampin@usgs.gov","middleInitial":"R.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":921444,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Merrill, Matthew D. 0000-0003-3766-847X","orcid":"https://orcid.org/0000-0003-3766-847X","contributorId":205698,"corporation":false,"usgs":true,"family":"Merrill","given":"Matthew D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":921445,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70262818,"text":"70262818 - 2025 - Participatory engagement to reduce communication gaps","interactions":[],"lastModifiedDate":"2025-04-28T14:58:06.529283","indexId":"70262818","displayToPublicDate":"2024-12-14T08:57:57","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Participatory engagement to reduce communication gaps","docAbstract":"<p><span>Underserved communities, especially those in coastal areas in Puerto Rico, face significant threats from natural hazards such as hurricanes and rising sea levels. Limited funding hinders the investment in costly mitigation measures, increasing exposure to natural disasters. Providing coastal resources and data products through effective communication mechanisms is fundamental to improving the well-being of these underserved coastal communities. The overall objectives of the pilot effort to engage and connect with underserved coastal communities in Puerto Rico were the following: (1) compile a comprehensive database of the projects and resources relevant to natural hazards in Puerto Rico; (2) foster connections with Puerto Rican interested parties to better understand their priorities regarding coastal hazards and provide them with pertinent U.S. Geological Survey (USGS) resources; and (3) identify knowledge gaps to guide future USGS projects in Puerto Rico. Here we outline our participatory engagement framework and process, along with two specific resources developed with the information collected from this effort. These resources are available in English and Spanish and consist of user-friendly, non-technical information products. Among them are: (1) a website where users can learn about USGS research on landslides, hurricanes, earthquakes, water resources, coastal hazards, tsunamis, and ecosystem hazards and environmental contaminants, and (2) a geonarrative highlighting shoreline changes in Puerto Rico with sections on historical shoreline trends, hurricane impacts, and potential solutions that could help protect communities and mitigate coastal hazards. Continuing participatory engagement in future projects could enhance the accessibility and usability of natural hazards resources within the community.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11069-024-06860-2","usgsCitation":"Torres-Garcia, L.M., Valdés Pizzini, M., Valdés-Calderón, K., Frank-Gilchrist, D.P., Kotowicz, D., Maldonado, E., and Vargas-Babilonia, P., 2025, Participatory engagement to reduce communication gaps: Natural Hazards, v. 121, p. 6367-6390, https://doi.org/10.1007/s11069-024-06860-2.","productDescription":"24 p.","startPage":"6367","endPage":"6390","ipdsId":"IP-158218","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":480984,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":481045,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11069-024-06860-2","text":"Publisher Index Page"}],"country":"United States","city":"San Juan","otherGeospatial":"Puerto Rico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -66.0659062782679,\n              18.46319106779258\n            ],\n            [\n              -66.0659062782679,\n              18.449924094571088\n            ],\n            [\n              -66.03964964413582,\n              18.449924094571088\n            ],\n            [\n              -66.03964964413582,\n              18.46319106779258\n            ],\n            [\n              -66.0659062782679,\n              18.46319106779258\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"121","noUsgsAuthors":false,"publicationDate":"2024-12-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Torres-Garcia, Legna M. 0000-0002-6786-5944 ltorresgarcia@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-5944","contributorId":196150,"corporation":false,"usgs":true,"family":"Torres-Garcia","given":"Legna","email":"ltorresgarcia@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":924895,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Valdés Pizzini, Manuel 0000-0001-5288-9903","orcid":"https://orcid.org/0000-0001-5288-9903","contributorId":349831,"corporation":false,"usgs":false,"family":"Valdés Pizzini","given":"Manuel","affiliations":[{"id":83520,"text":"Interdisciplinary Center for Coastal Studies (CIEL) at the University of Puerto Rico in Mayagüez","active":true,"usgs":false}],"preferred":false,"id":924896,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Valdés-Calderón, Krystalliá 0009-0000-1209-9245","orcid":"https://orcid.org/0009-0000-1209-9245","contributorId":349832,"corporation":false,"usgs":false,"family":"Valdés-Calderón","given":"Krystalliá","affiliations":[{"id":83520,"text":"Interdisciplinary Center for Coastal Studies (CIEL) at the University of Puerto Rico in Mayagüez","active":true,"usgs":false}],"preferred":false,"id":924897,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frank-Gilchrist, Donya P. 0000-0002-7146-0069","orcid":"https://orcid.org/0000-0002-7146-0069","contributorId":292926,"corporation":false,"usgs":true,"family":"Frank-Gilchrist","given":"Donya","email":"","middleInitial":"P.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":924898,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kotowicz, Dawn Marie 0000-0003-4614-9049","orcid":"https://orcid.org/0000-0003-4614-9049","contributorId":315551,"corporation":false,"usgs":true,"family":"Kotowicz","given":"Dawn Marie","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":924899,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Maldonado, Emmanuel 0009-0001-6519-0146","orcid":"https://orcid.org/0009-0001-6519-0146","contributorId":349833,"corporation":false,"usgs":false,"family":"Maldonado","given":"Emmanuel","affiliations":[{"id":83520,"text":"Interdisciplinary Center for Coastal Studies (CIEL) at the University of Puerto Rico in Mayagüez","active":true,"usgs":false}],"preferred":false,"id":924900,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vargas-Babilonia, Priscila 0000-0003-3913-9010","orcid":"https://orcid.org/0000-0003-3913-9010","contributorId":292925,"corporation":false,"usgs":true,"family":"Vargas-Babilonia","given":"Priscila","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":924901,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70261653,"text":"70261653 - 2025 - Imperiled Great Basin terminal lakes: Synthesizing ecological and hydrological science gaps and research needs for waterbird conservation","interactions":[],"lastModifiedDate":"2025-03-11T14:50:45.705327","indexId":"70261653","displayToPublicDate":"2024-12-13T10:04:11","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Imperiled Great Basin terminal lakes: Synthesizing ecological and hydrological science gaps and research needs for waterbird conservation","docAbstract":"<p><span>Terminal lakes are declining globally because of human water demands, drought, and climate change. Through literature synthesis and feedback from the resource and conservation community, we review the state of research for terminal lakes in the Great Basin of the United States, which support millions of waterbirds annually, to prioritize ecological and hydrologic information needs. From an ecological perspective, research priorities include measuring the underlying differences in waterbird resource selection and distribution, migratory connectivity, abiotic factors that interact with prey densities to affect prey availability, and waterbird fitness or demography. Integrated links between water availability, water quality, and food webs are lacking in the literature. Scarce water availability data hinder the current knowledge of water extraction and evapotranspiration rates. Research that can address these priorities would help advance our understanding of how the Great Basin terminal lakes function as an interrelated system and support conservation efforts to reverse the decline of these critical lakes.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/biosci/biae126","usgsCitation":"Herring, G., Whipple, A.L., Aldridge, C.L., Pulver, B.A., Eagles-Smith, C., Inman, R.D., Matchett, E., Monroe, A., Orning, E.K., Robb, B.S., Shyvers, J.E., Tarbox, B.C., Van Schmidt, N.D., Smith, C., Holloran, M., Overton, C.T., O’Leary, D., Casazza, M.L., and Frus, R., 2025, Imperiled Great Basin terminal lakes: Synthesizing ecological and hydrological science gaps and research needs for waterbird conservation: BioScience, v. 75, no. 2, p. 112-126, https://doi.org/10.1093/biosci/biae126.","productDescription":"15 p.","startPage":"112","endPage":"126","ipdsId":"IP-154086","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science 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0000-0002-4307-0004","orcid":"https://orcid.org/0000-0002-4307-0004","contributorId":288929,"corporation":false,"usgs":true,"family":"Shyvers","given":"Jessica","email":"","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":921308,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tarbox, Bryan C. 0000-0001-5040-3949","orcid":"https://orcid.org/0000-0001-5040-3949","contributorId":288930,"corporation":false,"usgs":true,"family":"Tarbox","given":"Bryan","email":"","middleInitial":"C.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":921309,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Van Schmidt, Nathan D.","contributorId":347307,"corporation":false,"usgs":false,"family":"Van Schmidt","given":"Nathan","email":"","middleInitial":"D.","affiliations":[{"id":17738,"text":"San Francisco Bay Bird 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coverton@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-7447","contributorId":3262,"corporation":false,"usgs":true,"family":"Overton","given":"Cory","email":"coverton@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":921313,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"O’Leary, David 0000-0001-9888-1739 doleary@usgs.gov","orcid":"https://orcid.org/0000-0001-9888-1739","contributorId":139900,"corporation":false,"usgs":true,"family":"O’Leary","given":"David","email":"doleary@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":921314,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":921315,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Frus, Rebecca J. 0000-0002-2435-7202","orcid":"https://orcid.org/0000-0002-2435-7202","contributorId":340187,"corporation":false,"usgs":false,"family":"Frus","given":"Rebecca J.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":921316,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"id":70261941,"text":"70261941 - 2025 - Late Amazonian ice near Athabasca Valles, Mars: Recent megaflood or climate change?","interactions":[],"lastModifiedDate":"2025-01-06T15:05:14.621649","indexId":"70261941","displayToPublicDate":"2024-12-12T09:02:08","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Late Amazonian ice near Athabasca Valles, Mars: Recent megaflood or climate change?","docAbstract":"<p><span>The Athabasca Valles outflow channel system is among the youngest such channels on Mars, with the Athabasca Valles flood lava (AVFL) covering the channel floor and reaching far beyond. Volcanic rootless cones on the AVFL indicate the presence of H</span><sub>2</sub><span>O in the shallow subsurface at the time of lava emplacement. However, Athabasca Valles are near the equator, where ice would rapidly sublime in the current climate. Therefore, the source of water for the rootless cones is uncertain: the leading hypotheses are that it was deposited (i) from the atmosphere in a different climate, or (ii) by a large aqueous flood shortly before the lava was erupted. Here we test the aqueous flood hypothesis, using numerical models of floods traversing Athabasca Valles to determine whether they can provide water to the locations of observed rootless cones. A secondary test is to determine whether flood waters are available to carve Lethe Vallis, a distal channel likely carved by the same event that formed Athabasca Valles. We find that floods with volumes and fluxes based on previously published estimates are unable to reach the distal rootless cones or Lethe Vallis. This suggests either that the climate allowed equatorial ice to be present in the subsurface at the time of the AVFL, or that geologically recent aqueous floods in Athabasca Valles were much larger than indicated by published models.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2024.116406","usgsCitation":"Dundas, C., Keszthelyi, L., and Williams, K.E., 2025, Late Amazonian ice near Athabasca Valles, Mars: Recent megaflood or climate change?: Icarus, v. 429, no. 3, 116406, 17 p., https://doi.org/10.1016/j.icarus.2024.116406.","productDescription":"116406, 17 p.","ipdsId":"IP-167274","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":498063,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.icarus.2024.116406","text":"Publisher Index Page"},{"id":465667,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Athabasca Valles, Mars","volume":"429","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dundas, Colin M. 0000-0003-2343-7224","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":237028,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":922358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keszthelyi, Laszlo P. 0000-0003-1879-4331 laz@usgs.gov","orcid":"https://orcid.org/0000-0003-1879-4331","contributorId":52802,"corporation":false,"usgs":true,"family":"Keszthelyi","given":"Laszlo P.","email":"laz@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":922359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Kaj E. 0000-0003-1755-1872 kewilliams@usgs.gov","orcid":"https://orcid.org/0000-0003-1755-1872","contributorId":196988,"corporation":false,"usgs":true,"family":"Williams","given":"Kaj","email":"kewilliams@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":922360,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70265938,"text":"70265938 - 2025 - Great Lakes mallard population dynamics","interactions":[],"lastModifiedDate":"2025-04-22T17:12:00.317697","indexId":"70265938","displayToPublicDate":"2024-12-11T12:04:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Great Lakes mallard population dynamics","docAbstract":"<p><span>Breeding mallard (</span><i>Anas platyrhynchos</i><span>) populations in the Great Lakes region (Michigan, Minnesota, Wisconsin, USA) declined by &gt;40% between 2000–2022 based on abundance data collected during spring aerial surveys. Mallards are an important waterfowl species in this region, where an estimated 60–80% of the mallard harvest is composed of locally banded birds. Extensive population monitoring datasets are available for mallards, presenting an opportunity to address complex questions such as estimating productivity at large spatial and temporal scales, identifying the effects of harvest on mallard demography, quantifying mechanisms for harvest compensation, and integrating multiple datasets to quantify the demographic drivers of population change. Our objective was to simultaneously examine factors affecting demographic parameters and their relative contribution to Great Lakes mallard population dynamics. We used 32 years of banding, band recovery, and aerial survey data collected for mallards from Michigan and Wisconsin to develop an integrated population model (IPM). We used age ratios at banding to estimate productivity, band recoveries from hunter-harvested birds to estimate annual survival and cause-specific mortality (i.e., harvest or non-hunting), and modeled abundance using aerial survey and demographic parameter estimates from 1991–2022. The IPM results indicated the decline in Great Lakes mallard abundance was caused by increased non-hunting mortality and a decline in productivity. Productivity varied spatially but temporally declined with the loss of Conservation Reserve Program area. Moreover, our productivity assessment provided evidence of density dependence in reproduction. Non-hunting mortality was 3.5–6.7 times and 1.3–4.2 times greater than harvest mortality for adult and juvenile female mallards, respectively, indicating environmental factors during spring and summer, not harvest, most greatly influenced annual mortality for female mallards. Our IPM reduced uncertainty in the factors affecting Great Lakes mallard population dynamics and indicated management actions that address non-hunting mortality and productivity would be most effective in increasing Great Lakes mallard abundance.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22702","usgsCitation":"Luukkonen, B., Winterstein, S., Hayes, D., Fowler, D., Soulliere, G., Coluccy, J., Shipley, A., Simpson, J., Shirkey, B., Winiarski, J., O’Neal, B., Avers, B., Urquhart, G., and Lavretsky, P., 2025, Great Lakes mallard population dynamics: Journal of Wildlife Management, v. 89, no. 2, e22702, 21 p., https://doi.org/10.1002/jwmg.22702.","productDescription":"e22702, 21 p.","ipdsId":"IP-169638","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488489,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22702","text":"Publisher Index 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,{"id":70264860,"text":"70264860 - 2025 - Sampling for disease surveillance: Assessing effects on blue-winged teal survival and recovery","interactions":[],"lastModifiedDate":"2025-03-26T14:52:46.805137","indexId":"70264860","displayToPublicDate":"2024-12-11T09:47:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Sampling for disease surveillance: Assessing effects on blue-winged teal survival and recovery","docAbstract":"<p><span>Outbreaks of highly pathogenic avian influenza virus in wild animals highlight the need for disease surveillance in wild birds to improve our understanding of their role as reservoirs and dispersers, and potential threats to domestic poultry and wild bird populations. Surveillance for avian influenza varies in its approach, objectives, and coordination with other monitoring efforts. For waterfowl, a common host to avian influenza viruses, banding represents a concerted effort of capturing and marking thousands of individuals annually to estimate survival and harvest rates, but users of these data have generally taken a conservative approach to remove any banded birds from analyses that had a sample taken for disease surveillance during capture. We tested for differences in survival and encounter probabilities of blue-winged teal (</span><i>Spatula discors</i><span>) marked (</span><i>n</i><span> = 21,702 teal) and sampled for disease surveillance (</span><i>n</i><span> = 4,216) during the nonbreeding season in Louisiana, USA, from 2016 to 2023. Although we found no consistent effect of collecting biological samples on survival probability, including an additional test showing no detectable effects of sampling for disease surveillance with oropharyngeal and cloacal swabs versus sampling with swabs and a syringe-drawn blood sample, wide 95% credible intervals on the posterior survival estimates (mean 0.36 difference between upper and lower values across all year-sex-sampling groups; 0.44 for sampling type groups) indicated low statistical power to detect an effect. Seber recovery probability during the first interval following sampling was lower among birds sampled using swabs only, but we assume this stems from low sample sizes rather than an effect of collecting biological samples. Because recovery probabilities can vary as a function of individual covariates, we also examined direct recovery probabilities and observed no meaningful effect of disease surveillance sampling type but strong effects of capture date, suggesting the effect on Seber recovery probability may have been due to heterogeneity in exposure to natural and harvest mortality risks. Although we suggest that aligning disease surveillance sample collection efforts with landscape-scale waterfowl banding efforts may have little effect on observed demographic rates, additional studies with larger sample sizes are likely needed to provide the statistical power necessary to formally conclude no effect of biological sampling on survival probabilities.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22708","usgsCitation":"Swift, R.J., Arnold, T., Carter, D.L., Link, P.K., Poulson, R., Stallknecht, D., and Pearse, A.T., 2025, Sampling for disease surveillance: Assessing effects on blue-winged teal survival and recovery: Journal of Wildlife Management, v. 89, no. 3, e22708, 14 p., https://doi.org/10.1002/jwmg.22708.","productDescription":"e22708, 14 p.","ipdsId":"IP-166455","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":498247,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22708","text":"Publisher Index Page"},{"id":483873,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Grand Chenier, Krotz Springs","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -91.98756060983055,\n              30.65597997684506\n            ],\n            [\n              -91.98756060983055,\n              30.58594442939689\n            ],\n            [\n              -91.90986695702321,\n              30.58594442939689\n            ],\n            [\n              -91.90986695702321,\n              30.65597997684506\n            ],\n            [\n              -91.98756060983055,\n              30.65597997684506\n      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0000-0001-7044-6196","orcid":"https://orcid.org/0000-0001-7044-6196","contributorId":212082,"corporation":false,"usgs":true,"family":"Swift","given":"Rose","email":"","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":932074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arnold, Todd W.","contributorId":340512,"corporation":false,"usgs":false,"family":"Arnold","given":"Todd W.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":932075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carter, Deborah L.","contributorId":335924,"corporation":false,"usgs":false,"family":"Carter","given":"Deborah","email":"","middleInitial":"L.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":932076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Link, Paul K.","contributorId":271204,"corporation":false,"usgs":false,"family":"Link","given":"Paul","email":"","middleInitial":"K.","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":932077,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Poulson, Rebecca L.","contributorId":198807,"corporation":false,"usgs":false,"family":"Poulson","given":"Rebecca L.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":932078,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stallknecht, David E.","contributorId":225107,"corporation":false,"usgs":false,"family":"Stallknecht","given":"David E.","affiliations":[{"id":36701,"text":"Southeastern Cooperative Wildlife Disease Study, Department of Population Health, College of Veterinary Medicine, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":932079,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pearse, Aaron T. 0000-0002-6137-1556 apearse@usgs.gov","orcid":"https://orcid.org/0000-0002-6137-1556","contributorId":1772,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron","email":"apearse@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":932080,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70263135,"text":"70263135 - 2025 - Changes in streamflow seasonality associated with hydroclimatic variability in the north-central United States among three discrete temporal periods, 1946–2020","interactions":[],"lastModifiedDate":"2025-01-30T15:18:05.449684","indexId":"70263135","displayToPublicDate":"2024-12-10T09:09:03","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":20062,"text":"Journal of Hydrology—Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Changes in streamflow seasonality associated with hydroclimatic variability in the north-central United States among three discrete temporal periods, 1946–2020","docAbstract":"<h3>Study region</h3><div id=\"abs0010\"><div id=\"sp0090\" class=\"u-margin-s-bottom\">North-central United States</div></div><div id=\"abs0015\"><h3 id=\"sect0015\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\">Study focus</h3><div id=\"sp0095\" class=\"u-margin-s-bottom\">This study uses circular statistics to characterize the seasonal properties of annual maximum (AMS) and peaks-over-threshold (POT) streamflow time series for 841 and 623 selected U.S. Geological Survey (USGS) streamgages, respectively, without regulation or substantial diversion among common 75-, 50-, and 30-year trend periods through water year 2020 (the period from October 1, 2019, through September 30, 2020). A subset of AMS time series with detected change points (abrupt changes) in the median and (or) scale are analyzed on either side of the change point to evaluate changes in their circular statistics.</div></div><div id=\"abs0020\"><h3 id=\"sect0020\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\">New hydrologic insights for the region</h3><div id=\"sp0100\" class=\"u-margin-s-bottom\">In the 50-year trend period, five regions share common mean flood timing in the AMS and POT partial duration series. Changes from asymmetric distributions to reflective symmetric distributions are detected particularly among the 50- and 30-year trend periods in the northernmost States of Minnesota, North Dakota, and Wisconsin. For the subset of streamgages with abrupt change points in the AMS, regional patterns of changes in seasonality are detected between the period of records before and after the change point. These findings can inform decisions related to the AMS used for flood frequency and potential mixed population analyses and flood control operations that may be affected by changes in when seasonal events occur, how long seasonal events last, and the long-term variability in the intensity and frequency of seasonal events.</div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2024.102084","usgsCitation":"Barth, N.A., Wavra, H.N., Koebele, A., and Sando, S.K., 2025, Changes in streamflow seasonality associated with hydroclimatic variability in the north-central United States among three discrete temporal periods, 1946–2020: Journal of Hydrology—Regional Studies, v. 57, 102084, 28 p., https://doi.org/10.1016/j.ejrh.2024.102084.","productDescription":"102084, 28 p.","ipdsId":"IP-158771","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":489918,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2024.102084","text":"Publisher Index Page"},{"id":481499,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, Wisconsin","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-87.800477,42.49192],[-87.812461,42.232278],[-87.524844,41.691635],[-87.531646,39.347888],[-87.640435,39.166727],[-87.496537,38.778571],[-87.975511,38.232742],[-88.158207,37.664542],[-88.078046,37.532029],[-88.450127,37.411717],[-88.490068,37.067874],[-89.058036,37.188767],[-89.171881,37.068184],[-89.202607,36.601576],[-89.343753,36.630991],[-89.429311,36.481875],[-89.55264,36.577178],[-89.527029,36.341679],[-89.703511,36.243412],[-89.615128,36.113816],[-89.733095,36.000608],[-90.368718,35.995812],[-90.075934,36.281485],[-90.157136,36.484317],[-94.617919,36.499414],[-94.605734,39.122204],[-95.082714,39.516712],[-94.876344,39.806894],[-95.382957,40.027112],[-95.870481,40.71248],[-95.844088,41.180598],[-96.096186,41.547192],[-96.077543,41.777824],[-96.342395,42.160491],[-96.380107,42.451494],[-96.625958,42.513576],[-96.687669,42.653126],[-97.308853,42.867307],[-98.035034,42.764205],[-98.568936,42.998537],[-104.053127,43.000585],[-104.057698,44.997431],[-111.044275,45.001345],[-111.048974,44.474072],[-111.323669,44.724474],[-111.50494,44.635746],[-111.469185,44.552044],[-112.258665,44.569516],[-112.387389,44.448058],[-112.749011,44.491233],[-112.844859,44.358221],[-113.134824,44.752763],[-113.455071,44.865424],[-113.802955,45.592631],[-114.015633,45.696127],[-114.345019,45.459916],[-114.559038,45.565706],[-114.422963,45.855381],[-114.527096,46.146218],[-114.322912,46.642938],[-114.76689,46.696901],[-115.294785,47.220914],[-115.731348,47.433381],[-115.72377,47.696671],[-116.049153,47.999923],[-116.049193,49.000912],[-95.153711,48.998903],[-95.153314,49.384358],[-94.878454,49.333193],[-94.640803,48.741171],[-93.818375,48.534442],[-92.984963,48.623731],[-92.634931,48.542873],[-92.698824,48.494892],[-92.341207,48.23248],[-92.066269,48.359602],[-91.542512,48.053268],[-90.88548,48.245784],[-90.703702,48.096009],[-89.489226,48.014528],[-90.86827,47.5569],[-92.058888,46.809938],[-91.942988,46.679939],[-90.880358,46.957661],[-90.78804,46.844886],[-90.920813,46.637432],[-90.398478,46.575832],[-88.982483,46.99883],[-88.400224,47.379551],[-87.816958,47.471998],[-87.730804,47.449112],[-88.349952,47.076377],[-88.462349,46.786711],[-88.167373,46.9588],[-87.915943,46.909508],[-87.619747,46.79821],[-87.366767,46.507303],[-86.850111,46.434114],[-86.188024,46.654008],[-84.964652,46.772845],[-84.969464,46.47629],[-84.177428,46.52692],[-84.097766,46.256512],[-84.247687,46.17989],[-83.931175,46.017871],[-83.63498,46.103953],[-83.49484,45.999541],[-84.345451,45.946569],[-84.656567,46.052654],[-84.820557,45.868293],[-85.047028,46.020603],[-85.528403,46.087121],[-85.663966,45.967013],[-86.278007,45.942057],[-86.687208,45.634253],[-86.532989,45.882665],[-86.92106,45.697868],[-87.018902,45.838886],[-88.027103,44.578992],[-87.943801,44.529693],[-87.428144,44.890738],[-87.021088,45.296541],[-87.73063,43.893862],[-87.910172,43.236634],[-87.800477,42.49192]]],[[[-88.684434,48.115785],[-88.447236,48.182916],[-89.022736,47.858532],[-89.255202,47.876102],[-88.684434,48.115785]]],[[[-83.880387,41.720089],[-86.824828,41.76024],[-86.24971,42.480212],[-86.226305,42.988284],[-86.540916,43.633158],[-86.25395,44.64808],[-86.066745,44.905685],[-85.780439,44.977932],[-85.540497,45.210169],[-85.641652,44.810816],[-85.520205,44.960347],[-85.477423,44.813781],[-85.355478,45.282774],[-84.91585,45.393115],[-85.110884,45.526285],[-84.94565,45.708621],[-85.011433,45.757962],[-84.204218,45.627116],[-84.095905,45.497298],[-83.488826,45.355872],[-83.316118,45.141958],[-83.435822,45.000012],[-83.277213,44.7167],[-83.335248,44.357995],[-83.890145,43.934672],[-83.909479,43.672622],[-83.618602,43.628891],[-83.227093,43.981003],[-82.915976,44.070503],[-82.617955,43.768596],[-82.423086,42.988728],[-82.509935,42.637294],[-82.648776,42.550401],[-82.630922,42.64211],[-82.780817,42.652232],[-83.431103,41.757457],[-83.880387,41.720089]]],[[[-86.880572,45.331467],[-86.956192,45.351179],[-86.82177,45.427602],[-86.880572,45.331467]]]]},\"properties\":{\"name\":\"Iowa\",\"nation\":\"USA  \"}}]}","volume":"57","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Barth, Nancy A. 0000-0002-7060-8244 nabarth@usgs.gov","orcid":"https://orcid.org/0000-0002-7060-8244","contributorId":298020,"corporation":false,"usgs":true,"family":"Barth","given":"Nancy","email":"nabarth@usgs.gov","middleInitial":"A.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":925656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wavra, Harper N. 0000-0001-5688-902X","orcid":"https://orcid.org/0000-0001-5688-902X","contributorId":292171,"corporation":false,"usgs":true,"family":"Wavra","given":"Harper","email":"","middleInitial":"N.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":925657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koebele, Anthony R 0009-0005-4406-1782","orcid":"https://orcid.org/0009-0005-4406-1782","contributorId":350316,"corporation":false,"usgs":true,"family":"Koebele","given":"Anthony R","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":925658,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sando, Steven K. 0000-0003-1206-1030","orcid":"https://orcid.org/0000-0003-1206-1030","contributorId":203451,"corporation":false,"usgs":true,"family":"Sando","given":"Steven","email":"","middleInitial":"K.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":925659,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70263855,"text":"70263855 - 2025 - Drought before fire increases tree mortality after fire","interactions":[],"lastModifiedDate":"2025-02-26T20:49:58.489965","indexId":"70263855","displayToPublicDate":"2024-12-09T13:44:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Drought before fire increases tree mortality after fire","docAbstract":"<p><span>Fire and drought are expected to increase in frequency and severity in temperate forests due to climate change. To evaluate whether drought increases the likelihood of post-fire tree mortality, we used a large database of tree survival and mortality from 32 years of wildland fires covering four dominant western North American conifers. We used Bayesian hierarchical modeling to predict the probability of individual tree mortality after fire based on species—</span><i>Pinus contorta</i><span>&nbsp;(lodgepole pine),&nbsp;</span><i>Abies concolor</i><span>&nbsp;(white fir),&nbsp;</span><i>Pseudotsuga menziesii</i><span>&nbsp;(Douglas-fir), and&nbsp;</span><i>Pinus ponderosa</i><span>&nbsp;(ponderosa pine)—bark thickness, bark char, percentage live tree crown scorched or consumed crown volume scorch (CVS), and mean annual climatic water deficit (CWD) anomalies the year pre-fire and fire year relative to the 1985–2015 reference period. Although&nbsp;</span><i>crown injury</i><span>&nbsp;was the primary determinant of tree mortality after fire,&nbsp;</span><i>drought</i><span>&nbsp;increased likelihood of death, with a 2-SD increase in CWD (+115.7) resulting in a 78% increase in the probability of mortality. We assessed the crown scorch level expected to result in &gt;50% probability of mortality under different CWD scenarios: observed CWD, CWD of +2, and +4°C warming scenarios. Increased climatic moisture stress amplified tree death, reducing the threshold that causes tree mortality across all conifers under +4°C warming, with more subtle and species-specific reductions for the +2°C scenario. Models predicting post-fire tree mortality are components of global and regional carbon estimates, habitat suitability assessments, and forest management planning and decision support systems. The amplifying effects of drought on post-fire tree mortality and predicted future climates are likely to lead to higher tree mortality following fires in forested landscapes of western North America and may have cascading effects on ecosystem services and future forest resilience.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70083","usgsCitation":"Cansler, C.A., Wright, M., van Mantgem, P., Shearman, T.M., Varner, J., and Hood, S.M., 2025, Drought before fire increases tree mortality after fire: Ecosphere, v. 15, no. 12, e70083, 18 p., https://doi.org/10.1002/ecs2.70083.","productDescription":"e70083, 18 p.","ipdsId":"IP-141643","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":486900,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70083","text":"Publisher Index Page"},{"id":482503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"western United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -125.54358044928802,\n              48.48322783092678\n            ],\n            [\n              -125.54358044928802,\n              31.839699908457078\n            ],\n            [\n              -100.5819546029139,\n              31.839699908457078\n            ],\n            [\n              -100.5819546029139,\n              48.48322783092678\n            ],\n            [\n              -125.54358044928802,\n              48.48322783092678\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-12-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Cansler, C. Alina 0000-0002-2155-4438","orcid":"https://orcid.org/0000-0002-2155-4438","contributorId":225029,"corporation":false,"usgs":false,"family":"Cansler","given":"C.","email":"","middleInitial":"Alina","affiliations":[{"id":41022,"text":"Missoula Fire Science Lab","active":true,"usgs":false}],"preferred":false,"id":928704,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Micah C. 0000-0002-5324-1110","orcid":"https://orcid.org/0000-0002-5324-1110","contributorId":229071,"corporation":false,"usgs":true,"family":"Wright","given":"Micah","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":928705,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":204320,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":928706,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shearman, Timothy M.","contributorId":229060,"corporation":false,"usgs":false,"family":"Shearman","given":"Timothy","email":"","middleInitial":"M.","affiliations":[{"id":41540,"text":"Tall Timbers Research Station, 13093 Henry Beadel Drive, Tallahassee, FL, 32312, USA","active":true,"usgs":false}],"preferred":false,"id":928707,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Varner, J. Morgan","contributorId":265933,"corporation":false,"usgs":false,"family":"Varner","given":"J. Morgan","affiliations":[{"id":36874,"text":"Tall Timbers Research Station","active":true,"usgs":false}],"preferred":false,"id":928708,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hood, Sharon M.","contributorId":221183,"corporation":false,"usgs":false,"family":"Hood","given":"Sharon","email":"","middleInitial":"M.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":928709,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70261640,"text":"70261640 - 2025 - Smectite-rich horizons in Inceptisols trigger shallow landslides in tropical granitic terranes","interactions":[],"lastModifiedDate":"2024-12-17T15:27:14.331312","indexId":"70261640","displayToPublicDate":"2024-12-07T09:22:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5397,"text":"Geoderma Regional","active":true,"publicationSubtype":{"id":10}},"title":"Smectite-rich horizons in Inceptisols trigger shallow landslides in tropical granitic terranes","docAbstract":"<p><span>Puerto Rico was affected by &gt;70,000 landslides in the wake of 2017 Hurricane Maria, and landslide prevalence was especially high in the Utuado region in the Cordillera Central. Landslide density was highest where soil parent material is granodiorite; landslide slip surfaces tended to be shallow (&lt;60&nbsp;cm), and often were mobilized rapidly and with long runout distances. This study combines field observations with soil mineralogy (bulk and clay fractions), soil geochemistry (bulk fraction), and soil strength as determined by field cone penetrometer testing (CPT) to test the hypothesis that clay-rich subsoil horizons function as slip planes when water-logged. Soil pits were excavated to depths of ∼200&nbsp;cm in Ultisols on an undulating plateau and to ∼100&nbsp;cm in Inceptisols on steep slopes (36-43</span><sup>o</sup><span>) that flank the plateau and cone penetrometer tests (CPT) were done within 2&nbsp;m of the soil pit. Six pits were located adjacent to scarps from previous landslides, enabling analysis of soil profiles downward through extrapolated slip surfaces. Results from X-ray diffraction (XRD), X-ray fluorescence (XRF) and thermogravimetric analysis (TGA) indicate that soils are heterogeneous, often with subsoil horizons enriched in clay minerals and immobile elements (Al, Fe, Ti). Inceptisols on steep slopes often contain smectite-rich horizons at 30–60&nbsp;cm depth that appear to function as slip surfaces; in other Inceptisols, such horizons are not present and landslide susceptibility is potentially lower. In Ultisols, soil mineralogy is dominated by kaolinite with minor halloysite, and increased kaolinite content at soil depths ≥80&nbsp;cm at some sites suggests potential slip surfaces enhancing probability of landslides. The origin of clay-rich horizons appears to be (1) fractures in granodiorite that facilitate water flow and leaching, accelerating mineral dissolution during early weathering stages, and (2) smectite-rich buried soils under permeable colluvium likely deposited by a prior mass wasting event. Where clay-rich layers occur beneath more-permeable horizons, rapid infiltration then absorption of water in clay-rich subsoil horizons causes decreased shear strength and increased landslide susceptibility.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geodrs.2024.e00897","usgsCitation":"Ryan, P., Mahmud, D., Derenoncourt, K.L., Nerbonne, L.F., Perez-Martin, I.L., Reyes Collovati, J., Junaid, M., and Cerovski-Darriau, C., 2025, Smectite-rich horizons in Inceptisols trigger shallow landslides in tropical granitic terranes: Geoderma Regional, v. 40, e00897, 17 p., https://doi.org/10.1016/j.geodrs.2024.e00897.","productDescription":"e00897, 17 p.","ipdsId":"IP-164570","costCenters":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"links":[{"id":465193,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -67.34134361905225,\n              18.567934517022124\n            ],\n            [\n              -67.34134361905225,\n              17.870406991368498\n            ],\n            [\n              -65.57303497201737,\n              17.870406991368498\n            ],\n            [\n              -65.57303497201737,\n              18.567934517022124\n            ],\n            [\n              -67.34134361905225,\n              18.567934517022124\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"40","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ryan, Peter C. 0000-0002-2251-5684","orcid":"https://orcid.org/0000-0002-2251-5684","contributorId":339466,"corporation":false,"usgs":false,"family":"Ryan","given":"Peter C.","affiliations":[{"id":27844,"text":"Middlebury College","active":true,"usgs":false}],"preferred":false,"id":921245,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mahmud, D.","contributorId":347276,"corporation":false,"usgs":false,"family":"Mahmud","given":"D.","email":"","affiliations":[{"id":27844,"text":"Middlebury College","active":true,"usgs":false}],"preferred":false,"id":921246,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Derenoncourt, K. L.","contributorId":347277,"corporation":false,"usgs":false,"family":"Derenoncourt","given":"K.","email":"","middleInitial":"L.","affiliations":[{"id":27844,"text":"Middlebury College","active":true,"usgs":false}],"preferred":false,"id":921247,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nerbonne, L. F.","contributorId":347278,"corporation":false,"usgs":false,"family":"Nerbonne","given":"L.","email":"","middleInitial":"F.","affiliations":[{"id":27844,"text":"Middlebury College","active":true,"usgs":false}],"preferred":false,"id":921248,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perez-Martin, I. L.","contributorId":339465,"corporation":false,"usgs":false,"family":"Perez-Martin","given":"I.","email":"","middleInitial":"L.","affiliations":[{"id":27844,"text":"Middlebury College","active":true,"usgs":false}],"preferred":false,"id":921249,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reyes Collovati, J.","contributorId":339464,"corporation":false,"usgs":false,"family":"Reyes Collovati","given":"J.","email":"","affiliations":[{"id":27844,"text":"Middlebury College","active":true,"usgs":false}],"preferred":false,"id":921250,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Junaid, M.","contributorId":347282,"corporation":false,"usgs":false,"family":"Junaid","given":"M.","email":"","affiliations":[{"id":27844,"text":"Middlebury College","active":true,"usgs":false}],"preferred":false,"id":921251,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cerovski-Darriau, Corina 0000-0002-0543-0902","orcid":"https://orcid.org/0000-0002-0543-0902","contributorId":221159,"corporation":false,"usgs":true,"family":"Cerovski-Darriau","given":"Corina","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":921252,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70263683,"text":"70263683 - 2025 - Hurricane wave energy dissipation and wave-driven currents over a fringing reef","interactions":[],"lastModifiedDate":"2025-02-20T15:50:37.166016","indexId":"70263683","displayToPublicDate":"2024-12-04T09:46:22","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1338,"text":"Coral Reefs","active":true,"publicationSubtype":{"id":10}},"title":"Hurricane wave energy dissipation and wave-driven currents over a fringing reef","docAbstract":"<p><span>In 2018, two successive tropical cyclones, Hurricane Hector and Hurricane Lane, generated waves that impacted the Hawaiian Islands. This study investigates wave breaking over a broad fringing reef and aims to quantify the magnitudes and length scales of the corresponding wave-driven circulation using detailed field observations and numerical models corresponding to these wave events. Detailed wave and current measurements were collected across a 1200-m wide cross-reef transect off the coral reef-lined south coast of Moloka’i, Hawai’i. High-resolution numerical model grids were developed to resolve reef features and the coupled Delft3D-SWAN modeling system was applied to simulate spectral wave transformation and wave-driven currents for these two energetic ocean wave events generated by distant passing hurricanes. The results indicate that the wave-driven circulation is generally weak, with current speeds typically less than 0.15&nbsp;m/s for the wave conditions generated by Hurricane Lane, with significant wave heights up to 1.9&nbsp;m. Higher energy dissipation rates from larger waves up to 2.5&nbsp;m breaking during Hurricane Hector resulted in stronger observed currents up to approximately 0.3&nbsp;m/s. However, the model results show that these currents are confined to the wave-breaking region over the upper fore reef in a narrow (100–300&nbsp;m) region near the reef crest, and weaker flows of less than 0.1&nbsp;m/s are generated over the shallow and wide reef flat. Wave heights across the reef flat are less than 0.5&nbsp;m and are controlled by the tidal water levels. The coral reef structures therefore provide significant protection for the coastline even during large wave and variable sea level conditions. Climate change is likely to increase sea level and storm intensity, the combination of which will influence wave transmission over fringing reefs that may degrade habitat, fueling the need for further research on changing conditions on coral reef-lined coasts.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00338-024-02604-7","usgsCitation":"Zimmerman, Z., Mulligan, R., and Storlazzi, C.D., 2025, Hurricane wave energy dissipation and wave-driven currents over a fringing reef: Coral Reefs, v. 44, p. 291-308, https://doi.org/10.1007/s00338-024-02604-7.","productDescription":"18 p.","startPage":"291","endPage":"308","ipdsId":"IP-154227","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":482275,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Moloka'i","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -157.25144019635636,\n              21.108414838715447\n            ],\n            [\n              -157.25144019635636,\n              21.065649812518444\n            ],\n            [\n              -157.1105420908326,\n              21.065649812518444\n            ],\n            [\n              -157.1105420908326,\n              21.108414838715447\n            ],\n            [\n              -157.25144019635636,\n              21.108414838715447\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"44","noUsgsAuthors":false,"publicationDate":"2024-12-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Zimmerman, Zoe","contributorId":351060,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Zoe","affiliations":[{"id":83909,"text":"U.Queens","active":true,"usgs":false}],"preferred":false,"id":927812,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mulligan, Ryan","contributorId":330362,"corporation":false,"usgs":false,"family":"Mulligan","given":"Ryan","affiliations":[{"id":36943,"text":"Queens University","active":true,"usgs":false}],"preferred":false,"id":927813,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":927814,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70261578,"text":"70261578 - 2025 - Evaluation of solid bitumen created from marine oil shale bituminite under hydrous and anhydrous pyrolysis conditions","interactions":[],"lastModifiedDate":"2024-12-16T15:48:58.338624","indexId":"70261578","displayToPublicDate":"2024-12-04T09:44:54","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2156,"text":"Journal of Analytical and Applied Pyrolysis","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of solid bitumen created from marine oil shale bituminite under hydrous and anhydrous pyrolysis conditions","docAbstract":"<p><span>To test the influence of environmental conditions on aromaticity of solid bitumen generated during petroleum generation, four organic-rich (26–36 wt% total organic carbon) oil shale samples collected from the Neoproterozoic–Lower Cambrian restricted marine Salt Range Formation in the upper Indus Basin, Pakistan, were pyrolyzed under hydrous and anhydrous conditions. Experiments used closed system batch reactors at subcritical water temperatures between 300 and 370°C for 72 h. Thermal conversion of bituminite in the Salt Range oil shales created a newly formed solid bitumen, similar to previous observations from experiments on the Eocene lacustrine Green River Formation Mahogany zone oil shale. Newly formed solid bitumen in the Salt Range Formation oil shales generally has higher reflectance (R</span><sub>o</sub><span>) in hydrous residues compared to anhydrous experiments subjected to the same time-temperature conditions, also similar to prior observations. This finding supports the hypothesis that radical disproportionation is favored in the presence of hydrogen contributed by water, promoting aromatization in the solid bitumen residue with concomitant increased expulsion of saturated hydrocarbons. Indigenous solid bitumen (and vitrinite in a comparison sample) also shows higher reflectance values in hydrous versus anhydrous residues, indicating that additional aromatization in the presence of exogenous hydrogen occurs both in newly formed organic matter and in organic matter that is present throughout the experiment. Despite similarities in their bulk rock geochemical screening parameters, R</span><sub>o</sub><span>&nbsp;evolution shows different trajectories amongst the four Salt Range oil shales, suggesting as-yet undetermined differences in kinetic properties which are probably related to differences in&nbsp;</span><i>a priori</i><span>&nbsp;chemical composition. These results have implications for the use of solid bitumen reflectance (BR</span><sub>o</sub><span>) as a thermal proxy, suggesting BR</span><sub>o</sub><span>&nbsp;values and appearance could vary as a function of the concentration of water. Variation in water concentration may be present at the reservoir or formation scale, but may also be present at a much finer scale in tight oil shales where permeability is several orders of magnitude lower than conventional reservoirs. Therefore, local variations in the presence of water potentially could explain substantial variation in BR</span><sub>o</sub><span>&nbsp;values and appearance in closely spaced source rock samples and even within an individual microscope field.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jaap.2024.106881","usgsCitation":"Hackley, P.C., Valentine, B.J., McAleer, R.J., Hatcherian, J.J., Nedzweckas, J., McDevitt, B., and Khan, I., 2025, Evaluation of solid bitumen created from marine oil shale bituminite under hydrous and anhydrous pyrolysis conditions: Journal of Analytical and Applied Pyrolysis, v. 186, 106881, 16 p., https://doi.org/10.1016/j.jaap.2024.106881.","productDescription":"106881, 16 p.","ipdsId":"IP-166528","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":466681,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jaap.2024.106881","text":"Publisher Index Page"},{"id":465149,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"186","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":921092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Valentine, Brett J. 0000-0002-8678-2431 bvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-8678-2431","contributorId":3846,"corporation":false,"usgs":true,"family":"Valentine","given":"Brett","email":"bvalentine@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":921093,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":921094,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatcherian, Javin J. 0000-0001-9151-6798 jhatcherian@usgs.gov","orcid":"https://orcid.org/0000-0001-9151-6798","contributorId":195770,"corporation":false,"usgs":true,"family":"Hatcherian","given":"Javin","email":"jhatcherian@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":921095,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nedzweckas, Jennifer 0000-0001-5838-3110","orcid":"https://orcid.org/0000-0001-5838-3110","contributorId":330863,"corporation":false,"usgs":true,"family":"Nedzweckas","given":"Jennifer","email":"","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":921096,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McDevitt, Bonnie 0000-0001-8390-0028","orcid":"https://orcid.org/0000-0001-8390-0028","contributorId":291246,"corporation":false,"usgs":true,"family":"McDevitt","given":"Bonnie","email":"","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":921097,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Khan, Imran","contributorId":342746,"corporation":false,"usgs":false,"family":"Khan","given":"Imran","email":"","affiliations":[{"id":81919,"text":"COMSATS Institute of Information and Technology","active":true,"usgs":false}],"preferred":false,"id":921098,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70261824,"text":"70261824 - 2025 - Arsenic accumulation in Sonora Mud Turtles (Kinosternon sonoriense) in an unusual freshwater food web","interactions":[],"lastModifiedDate":"2025-01-13T16:27:13.081258","indexId":"70261824","displayToPublicDate":"2024-12-04T08:30:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1210,"text":"Chelonian Conservation and Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Arsenic accumulation in Sonora Mud Turtles (<i>Kinosternon sonoriense</i>) in an unusual freshwater food web","title":"Arsenic accumulation in Sonora Mud Turtles (Kinosternon sonoriense) in an unusual freshwater food web","docAbstract":"<p><span>Montezuma Well is an unusual fishless, spring-fed, desert wetland in central Arizona. Water in the wetland is naturally enriched with &gt; 100 µg/l dissolved geogenic arsenic (As) and supports a simple aquatic food web dominated by a small number of endemic invertebrate species that achieve high abundances. Previous studies of As among various environmental compartments and organisms in Montezuma Well did not include omnivorous Sonora Mud turtles (</span><i>Kinosternon sonoriense</i><span>) despite their potential importance in the As cycle by virtue of their substantial biomass and role as top predators. We measured As concentrations in water, sediment, and organisms (macrophytes, amphipods, insects, leeches, and turtles) representing a range of trophic levels in order to document the importance of turtles at the apex of the Montezuma Well food web and in the As cycle. Concentrations of As in turtles varied according to tissue type. The greatest values (up to 26.77 mg/kg dry weight) were in the scutes of 1 of our oldest turtles (31.5 yrs). These elevated concentrations may be due to the affinity of As to react with sulfur in the keratin of scutes, and therefore might reflect duration of exposure in long-lived turtles. Although As concentrations generally tend to decrease when moving up to higher trophic levels in a food web, our results were different. Relatively elevated concentrations reported in sediments by us and a previous study declined in plant samples as expected. Amphipod concentrations increased but then decreased again in 3 of their invertebrate predators. Arsenic concentrations in endemic leeches were extremely elevated with a mean value of 72.2 mg/kg. The mean concentration of As in turtles was 7.08 mg/kg across tissue types and was greater than the plants or invertebrates they eat, with the notable exception of leeches, which have been proposed to be part of their diet.</span></p>","language":"English","publisher":"Chelonian Research Foundation","doi":"10.2744/CCB-1637.1","usgsCitation":"Lovich, J.E., Kulp, T., Drost, C.A., Macipríos, R., Knowles, S., and Ennen, J., 2025, Arsenic accumulation in Sonora Mud Turtles (Kinosternon sonoriense) in an unusual freshwater food web: Chelonian Conservation and Biology, v. 23, no. 2, p. 236-245, https://doi.org/10.2744/CCB-1637.1.","productDescription":"10 p.","startPage":"236","endPage":"245","ipdsId":"IP-168567","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":495025,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2744/ccb-1637.1","text":"Publisher Index Page"},{"id":465481,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Montezuma Well","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.74945623478341,\n              34.65420453797695\n            ],\n            [\n              -111.76864231095536,\n              34.65420453797695\n            ],\n            [\n              -111.76864231095536,\n              34.64304549914927\n            ],\n            [\n              -111.74945623478341,\n              34.64304549914927\n            ],\n            [\n              -111.74945623478341,\n              34.65420453797695\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"23","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":921960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kulp, Thomas R.","contributorId":341956,"corporation":false,"usgs":false,"family":"Kulp","given":"Thomas R.","affiliations":[],"preferred":false,"id":921961,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drost, Charles A. 0000-0002-4792-7095 charles_drost@usgs.gov","orcid":"https://orcid.org/0000-0002-4792-7095","contributorId":3151,"corporation":false,"usgs":true,"family":"Drost","given":"Charles","email":"charles_drost@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":921962,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Macipríos, Rodrigo","contributorId":347546,"corporation":false,"usgs":false,"family":"Macipríos","given":"Rodrigo","affiliations":[{"id":83188,"text":"Escuela Nacional de Estudios Superiores, Unidad Morelia. Universidad Nacional Atónoma de México, Antigua Carretera a Páztcuaro, No. 8701, Col. Ex Hacienda San José la Huerta, Morelia, Michoacán, 58190, México","active":true,"usgs":false}],"preferred":false,"id":921963,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Knowles, Susan 0000-0002-0254-6491 sknowles@usgs.gov","orcid":"https://orcid.org/0000-0002-0254-6491","contributorId":5254,"corporation":false,"usgs":true,"family":"Knowles","given":"Susan","email":"sknowles@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":921964,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ennen, Joshua R.","contributorId":60368,"corporation":false,"usgs":false,"family":"Ennen","given":"Joshua R.","affiliations":[{"id":13216,"text":"Tennessee Aquarium Conservation Institute","active":true,"usgs":false}],"preferred":false,"id":921965,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70261366,"text":"70261366 - 2025 - The joint effect of changes in urbanization and climate on trends in floods: A comparison of panel and single-station quantile regression approaches","interactions":[],"lastModifiedDate":"2024-12-12T16:08:12.325121","indexId":"70261366","displayToPublicDate":"2024-12-03T09:01:42","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"The joint effect of changes in urbanization and climate on trends in floods: A comparison of panel and single-station quantile regression approaches","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\"><div id=\"as010\"><div id=\"sp0010\" class=\"u-margin-s-bottom\"><span>Estimates of annual maximum (peak) flow quantiles are needed for basins undergoing changes in both urbanization and climate. Most previous work on the effect of urbanization on peak flows has considered urbanization alone and only the spatial variation in flood quantiles or its mean temporal effect, and most work on the effect of nonstationarity in climate has focused on single-station analyses, which give uncertain results for extreme quantiles. To address these gaps, three approaches to the statistical estimation of the joint effects of changes in impervious cover and climate on the estimation of peak-flow quantiles were compared: single-station quantile regression; a fixed effect panel-quantile regression (pQR) method using a location (mean) shift to homogenize the panel; and a location-scale panel regression model (pQRmom), which accounts for both scale (variance) and location effects. The different approaches were applied to a dataset consisting of instantaneous annual peak flows from 127 minimally nested basins in the midwestern United States with at least 4&nbsp;% change in imperviousness. The annual maximum daily discharge from a water-balance model was selected as the primary climate predictor; in addition, to provide a comparison of climate predictors, precipitation was also considered. The coefficients from single-station regressions were usually sufficiently certain to determine the effects of climate variation but usually too uncertain to estimate the effects of urbanization. The panel-quantile regression approaches give much more certain results, but their estimates of quantile dependence differ: although both indicate urbanization effects decreasing with decreasing annual exceedance probability (AEP), the pQRmom urbanization coefficients are insignificantly different from zero for AEPs less than 0.10, whereas the pQR coefficients remain positive and are significant except for AEP = 0.01, the smallest AEP value considered. Although the location-scale structure of the pQRmom approach has less flexible quantile dependence than the pQR approach, the pQRmom approach has somewhat lower overall error, and it is found that by subsetting the dataset to homogenize the scale effects, the pQR and pQRmom results become similar, indicating the insignificant urbanization coefficients for small AEPs of the pQRmom results are likely correct for the study dataset.</span></div></div></div></div><div id=\"reading-assistant-main-body-section\"><br></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2024.132281","usgsCitation":"Over, T.M., Marti, M.K., Ortiz, J., and Podzorski, H.L., 2025, The joint effect of changes in urbanization and climate on trends in floods: A comparison of panel and single-station quantile regression approaches: Journal of Hydrology, v. 648, 132281, 21 p., https://doi.org/10.1016/j.jhydrol.2024.132281.","productDescription":"132281, 21 p.","ipdsId":"IP-164495","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":466683,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2024.132281","text":"Publisher Index Page"},{"id":466451,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1ZNSQSG","text":"USGS data release","linkHelpText":"Data for Investigating the Joint Effect of Changes in Impervious Cover and Climate on Trends in Floods"},{"id":464884,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Illinois, Indiana, Iowa, Michigan, Minnesota, Missouri, Wisconsin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83.21401187752082,\n              41.78478885015073\n            ],\n            [\n              -82.44260111092109,\n              42.952139162504125\n            ],\n            [\n              -88.01051518909618,\n              44.68660103178678\n            ],\n            [\n              -93.48272842206053,\n              44.8681458501853\n            ],\n            [\n              -94.84496451109821,\n              39.9280811992401\n            ],\n            [\n              -94.63808877858959,\n              38.82734242417379\n            ],\n            [\n              -94.39334578416593,\n              35.82967467856777\n            ],\n            [\n              -89.47117528725998,\n              38.20831794765212\n            ],\n            [\n              -83.21401187752082,\n              41.78478885015073\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"648","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Over, Thomas M. 0000-0001-8280-4368","orcid":"https://orcid.org/0000-0001-8280-4368","contributorId":204650,"corporation":false,"usgs":true,"family":"Over","given":"Thomas","email":"","middleInitial":"M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":920429,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marti, Mackenzie K. 0000-0001-8817-4969 mmarti@usgs.gov","orcid":"https://orcid.org/0000-0001-8817-4969","contributorId":289738,"corporation":false,"usgs":true,"family":"Marti","given":"Mackenzie","email":"mmarti@usgs.gov","middleInitial":"K.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":920430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ortiz, Jaqueline 0000-0001-7992-385X","orcid":"https://orcid.org/0000-0001-7992-385X","contributorId":304557,"corporation":false,"usgs":true,"family":"Ortiz","given":"Jaqueline","email":"","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":920431,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Podzorski, Hannah Lee 0000-0001-5204-2606 hpodzorski@usgs.gov","orcid":"https://orcid.org/0000-0001-5204-2606","contributorId":333626,"corporation":false,"usgs":true,"family":"Podzorski","given":"Hannah","email":"hpodzorski@usgs.gov","middleInitial":"Lee","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":920432,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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