{"pageNumber":"32","pageRowStart":"775","pageSize":"25","recordCount":16495,"records":[{"id":70241897,"text":"70241897 - 2023 - Stochastic watershed model ensembles for long-range planning: Verification and validation","interactions":[],"lastModifiedDate":"2023-03-30T11:38:33.672469","indexId":"70241897","displayToPublicDate":"2023-01-24T06:35:30","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":11438,"text":"Water Resource Research","active":true,"publicationSubtype":{"id":10}},"title":"Stochastic watershed model ensembles for long-range planning: Verification and validation","docAbstract":"<div class=\"article-section__content en main\"><p>Deterministic watershed models (DWMs) are used in nearly all hydrologic planning, design, and management activities, yet they cannot generate streamflow ensembles needed for hydrologic risk management (HRM). The stochastic component of DWMs is often ignored in practice, leading to a systematic bias in extreme events. Since traditional stochastic streamflow models used in HRM struggle to account for anthropogenic change, there is a need to convert DWMs into stochastic watershed models (SWMs) to generate ensembles for use in HRM. A DWM can be converted to an SWM using a post-processing (pp) approach to add error to the DWM predictions. Many pp methods advanced in the area of flood forecasting are useful in HRM and for correcting extreme event biases. Selecting a suitable error model for pp is challenging due to nonnormality, skewness, heteroscedasticity, and autocorrelation. We develop a parsimonious pp method based on an autoregressive (AR) model of the logarithm of the ratio of the observations and simulations, which leads to AR model residuals that are approximately symmetric and independent. We document the value of pp for improving flood and low flow frequency analysis and we reintroduce the concepts of verification and validation of stochastic streamflow ensembles to ensure that the SWM can reproduce both statistics it was and was not designed to reproduce, respectively. These concepts are illustrated on a Massachusetts basin using the USGS Precipitation Runoff Modeling System, with an additional analysis indicating the approach may be applicable to 1,225 other sites across the United States.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022WR032201","usgsCitation":"Shabestanipour, G., Brodeur, Z.P., Farmer, W., Steinschneider, S., Vogel, R., and Lamontagne, J., 2023, Stochastic watershed model ensembles for long-range planning: Verification and validation: Water Resource Research, v. 59, no. 2, e2022WR032201, 20 p., https://doi.org/10.1029/2022WR032201.","productDescription":"e2022WR032201, 20 p.","ipdsId":"IP-138092","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":414949,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts, New Hampshire","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -71.91821608000225,\n              42.76149650725495\n            ],\n            [\n              -71.91821608000225,\n              42.618159403372886\n            ],\n            [\n              -71.6545442050027,\n              42.618159403372886\n            ],\n            [\n              -71.6545442050027,\n              42.76149650725495\n            ],\n            [\n              -71.91821608000225,\n              42.76149650725495\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"59","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Shabestanipour, Ghazal","contributorId":303810,"corporation":false,"usgs":false,"family":"Shabestanipour","given":"Ghazal","email":"","affiliations":[{"id":6936,"text":"Tufts University","active":true,"usgs":false}],"preferred":false,"id":868138,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brodeur, Zachary P","contributorId":303811,"corporation":false,"usgs":false,"family":"Brodeur","given":"Zachary","email":"","middleInitial":"P","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":868139,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farmer, William H. 0000-0002-2865-2196","orcid":"https://orcid.org/0000-0002-2865-2196","contributorId":223181,"corporation":false,"usgs":true,"family":"Farmer","given":"William H.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":868140,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steinschneider, Scott 0000-0002-8882-1908","orcid":"https://orcid.org/0000-0002-8882-1908","contributorId":206359,"corporation":false,"usgs":false,"family":"Steinschneider","given":"Scott","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":868141,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vogel, Richard M","contributorId":241035,"corporation":false,"usgs":false,"family":"Vogel","given":"Richard M","affiliations":[{"id":6936,"text":"Tufts University","active":true,"usgs":false}],"preferred":false,"id":868142,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lamontagne, Jonathan","contributorId":303813,"corporation":false,"usgs":false,"family":"Lamontagne","given":"Jonathan","affiliations":[{"id":6936,"text":"Tufts University","active":true,"usgs":false}],"preferred":false,"id":868143,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70242950,"text":"70242950 - 2023 - Investigations of ambient noise velocity variations in a region of induced seismicity near Greeley, Colorado","interactions":[],"lastModifiedDate":"2023-04-24T11:20:57.423052","indexId":"70242950","displayToPublicDate":"2023-01-24T06:17:14","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10542,"text":"The Seismic Record","active":true,"publicationSubtype":{"id":10}},"title":"Investigations of ambient noise velocity variations in a region of induced seismicity near Greeley, Colorado","docAbstract":"<div id=\"135595978\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>Wastewater injection has induced earthquakes in Northeastern Colorado since 2014. We apply ambient noise correlation techniques to determine temporal changes in seismic velocities in the region. We find no clear correlation between seismic velocity fluctuations and either injection volumes or seismicity patterns. We do observe apparent annual variations in velocity that may be associated with hydrologic loading or thermoelastic strain. In addition, we model uniform and vertically localized velocity perturbations, and measure the velocity change with 1D synthetic seismograms. Our results indicate that our methods underestimate the known velocity change, especially at shorter station distances and when variations are restricted to a horizontal layer. If injection does cause measurable velocity changes, its effect is likely diluted in cross correlations due to its localized spatial extent around injection wells.</p></div>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0320220033","usgsCitation":"Clifford, T., Sheehan, A., and Moschetti, M.P., 2023, Investigations of ambient noise velocity variations in a region of induced seismicity near Greeley, Colorado: The Seismic Record, v. 3, no. 2, p. 12-20, https://doi.org/10.1785/0320220033.","productDescription":"9 p.","startPage":"12","endPage":"20","ipdsId":"IP-146548","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":444720,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0320220033","text":"Publisher Index Page"},{"id":416165,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Greeley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -104.93049403298068,\n              40.56981242493987\n            ],\n            [\n              -104.93049403298068,\n              40.2769456875688\n            ],\n            [\n              -104.47541354476009,\n              40.2769456875688\n            ],\n            [\n              -104.47541354476009,\n              40.56981242493987\n            ],\n            [\n              -104.93049403298068,\n              40.56981242493987\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"3","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Clifford, Thomas","contributorId":304410,"corporation":false,"usgs":false,"family":"Clifford","given":"Thomas","email":"","affiliations":[{"id":66058,"text":"SlateGeotech, Univ. of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":870331,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sheehan, Anne","contributorId":139409,"corporation":false,"usgs":false,"family":"Sheehan","given":"Anne","affiliations":[{"id":6713,"text":"University of Colorado, Boulder CO","active":true,"usgs":false}],"preferred":false,"id":870332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moschetti, Morgan P. 0000-0001-7261-0295 mmoschetti@usgs.gov","orcid":"https://orcid.org/0000-0001-7261-0295","contributorId":1662,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","email":"mmoschetti@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":870333,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70239772,"text":"70239772 - 2023 - Incorporating temperature into seepage loss estimates for a large unlined irrigation canal","interactions":[],"lastModifiedDate":"2025-05-14T17:36:22.285243","indexId":"70239772","displayToPublicDate":"2023-01-18T06:52:45","publicationYear":"2023","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":"Incorporating temperature into seepage loss estimates for a large unlined irrigation canal","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\"><div id=\"as010\"><p id=\"sp0010\">Quantifying seepage losses from unlined irrigation canals is necessary to improve water use and conservation. The use of heat as a tracer is widely used in quantifying seepage rates across the sediment–water interface. In this study, field observations and two-dimensional numerical models were used to simulate seepage losses during the 2018 and 2019 irrigation season in the Truckee Canal system. Nineteen transects were instrumented with temperature probes and stage recording devices for inverse modeling to derive seepage flux and volumetric losses over the 39&nbsp;km length of canal. The numerical models for each transect were calibrated and validated using the two-year dataset. Soil zones and observation data were used in each numerical model to help guide calibration of vertical and lateral heat and fluid fluxes. Model simulations were used to derive multivariable regression equations that consider stage, temperature, and hydraulic gradient. The results demonstrate the value of long-term datasets that illustrate the seasonality of groundwater levels, siltation, stage, and temperature on seepage rates. Seepage rates estimated by the numerical models range from 0.16 to 4.6&nbsp;m<sup>3</sup>/d m<sup>−1</sup>. Total annual volumetric losses estimated for 2018 and 2019 were 1.6&nbsp;×&nbsp;10<sup>-2</sup><span>&nbsp;</span>to 1.2&nbsp;×&nbsp;10<sup>-2</sup><span>&nbsp;</span>km<sup>3</sup>, respectively. The seepage losses estimated by this study account for 32&nbsp;% to 41&nbsp;% of the inflow volumes. Regression models were able to reproduce seepage time-series simulated by the numerical models reasonably well. In arid environments, water diverted into irrigation canals may be influenced by seasonal variations in temperature sufficient to influence the water accounting of conveyed surface flows.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2023.129117","usgsCitation":"Naranjo, R.C., Smith, D., and Lindenbach, E.J., 2023, Incorporating temperature into seepage loss estimates for a large unlined irrigation canal: Journal of Hydrology, v. 617, no. C, 129117, 15 p.; Data Release, https://doi.org/10.1016/j.jhydrol.2023.129117.","productDescription":"129117, 15 p.; Data Release","ipdsId":"IP-096517","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":412069,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":435498,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P971LB6C","text":"USGS data release","linkHelpText":"Supplemental data and documentation of VS2DH seepage models: Incorporating temperature into seepage loss estimates for a large irrigation canal"}],"country":"United States","state":"Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -119.6447610565691,\n              39.4835481422399\n            ],\n            [\n              -119.6447610565691,\n              38.96460925429065\n            ],\n            [\n              -118.63993876134998,\n              38.96460925429065\n            ],\n            [\n              -118.63993876134998,\n              39.4835481422399\n            ],\n            [\n              -119.6447610565691,\n              39.4835481422399\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"617","issue":"C","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Naranjo, Ramon C. 0000-0003-4469-6831 rnaranjo@usgs.gov","orcid":"https://orcid.org/0000-0003-4469-6831","contributorId":3391,"corporation":false,"usgs":true,"family":"Naranjo","given":"Ramon","email":"rnaranjo@usgs.gov","middleInitial":"C.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":861853,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, David 0000-0002-9543-800X","orcid":"https://orcid.org/0000-0002-9543-800X","contributorId":169280,"corporation":false,"usgs":true,"family":"Smith","given":"David","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":861906,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lindenbach, Evan J.","contributorId":263642,"corporation":false,"usgs":false,"family":"Lindenbach","given":"Evan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":861907,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70239912,"text":"70239912 - 2023 - Juxtaposition of intensive agriculture, vulnerable aquifers, and mixed chemical/microbial exposures in private-well tapwater in northeast Iowa","interactions":[],"lastModifiedDate":"2023-01-25T12:39:26.054546","indexId":"70239912","displayToPublicDate":"2023-01-17T06:35:44","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":13280,"text":"Environmental Science and Technology: Water","active":true,"publicationSubtype":{"id":10}},"title":"Juxtaposition of intensive agriculture, vulnerable aquifers, and mixed chemical/microbial exposures in private-well tapwater in northeast Iowa","docAbstract":"<div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0030\">In the United States and globally, contaminant exposure in unregulated private-well point-of-use tapwater (TW) is a recognized public-health data gap and an obstacle to both risk-management and homeowner decision making. To help address the lack of data on broad contaminant exposures in private-well TW from hydrologically-vulnerable (alluvial, karst) aquifers in agriculturally-intensive landscapes, samples were collected in 2018–2019 from 47 northeast Iowa farms and analyzed for 35 inorganics, 437 unique organics, 5 in vitro bioassays, and 11 microbial assays. Twenty-six inorganics and 51 organics, dominated by pesticides and related transformation products (35 herbicide-, 5 insecticide-, and 2 fungicide-related), were observed in TW. Heterotrophic bacteria detections were near ubiquitous (94 % of the samples), with detection of total coliform bacteria in 28 % of the samples and growth on at least one putative-pathogen selective media across all TW samples. Health-based hazard index screening levels were exceeded frequently in private-well TW and attributed primarily to inorganics (nitrate, uranium). Results support incorporation of residential treatment systems to protect against contaminant exposure and the need for increased monitoring of rural private-well homes. Continued assessment of unmonitored and unregulated private-supply TW is needed to model contaminant exposures and human-health risks.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2023.161672","usgsCitation":"Bradley, P., Kolpin, D., Thompson, D.A., Romanok, K., Smalling, K., Breitmeyer, S.E., Cardon, M.C., Cwiertny, D.M., Evans, N., Field, R.W., Focazio, M.J., Freeman, L.E., Givens, C.E., Gray, J.L., Hager, G.L., Hladik, M.L., Hoffman, J.N., Jones, R.R., Kanagy, L.K., Lane, R.F., McCleskey, R., Medgyesi, D., Medlock-Kakaley, E., Meppelink, S., Meyer, M., Stavreva, D.A., and Ward, M.H., 2023, Juxtaposition of intensive agriculture, vulnerable aquifers, and mixed chemical/microbial exposures in private-well tapwater in northeast Iowa: Environmental Science and Technology: Water, v. 868, 161672, 11 p., https://doi.org/10.1016/j.scitotenv.2023.161672.","productDescription":"161672, 11 p.","ipdsId":"IP-134194","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":444805,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2023.161672","text":"Publisher Index Page"},{"id":435501,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9IYT37H","text":"USGS data release","linkHelpText":"Target-Chemical Concentrations, Exposure Activity Ratios, and Bioassay Results for Assessment of Mixed-Organic/Inorganic Chemical Exposures in Northeast Iowa Private-Well Tapwater, 2018"},{"id":412305,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -93.12228849222048,\n              42.99050594750622\n            ],\n            [\n              -93.12228849222048,\n              41.09871525515322\n            ],\n            [\n              -89.9156424790619,\n              41.09871525515322\n            ],\n            [\n              -89.9156424790619,\n              42.99050594750622\n            ],\n            [\n              -93.12228849222048,\n              42.99050594750622\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  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Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":862343,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Darrin A.","contributorId":238107,"corporation":false,"usgs":false,"family":"Thompson","given":"Darrin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":862344,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Romanok, Kristin M. 0000-0002-8472-8765","orcid":"https://orcid.org/0000-0002-8472-8765","contributorId":221227,"corporation":false,"usgs":true,"family":"Romanok","given":"Kristin M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":862345,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smalling, Kelly L. 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":214623,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":862346,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Breitmeyer, Sara E. 0000-0003-0609-1559 sbreitmeyer@usgs.gov","orcid":"https://orcid.org/0000-0003-0609-1559","contributorId":172622,"corporation":false,"usgs":true,"family":"Breitmeyer","given":"Sara","email":"sbreitmeyer@usgs.gov","middleInitial":"E.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":862347,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cardon, Mary C.","contributorId":190792,"corporation":false,"usgs":false,"family":"Cardon","given":"Mary","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":862348,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cwiertny, David M.","contributorId":190557,"corporation":false,"usgs":false,"family":"Cwiertny","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":862349,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Evans, Nicola","contributorId":184087,"corporation":false,"usgs":false,"family":"Evans","given":"Nicola","email":"","affiliations":[],"preferred":false,"id":862350,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Field, R. William","contributorId":238113,"corporation":false,"usgs":false,"family":"Field","given":"R.","email":"","middleInitial":"William","affiliations":[],"preferred":false,"id":862351,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Focazio, Michael J. 0000-0003-0967-5576 mfocazio@usgs.gov","orcid":"https://orcid.org/0000-0003-0967-5576","contributorId":1276,"corporation":false,"usgs":true,"family":"Focazio","given":"Michael","email":"mfocazio@usgs.gov","middleInitial":"J.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":862352,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Freeman, Laura E. Beane","contributorId":301198,"corporation":false,"usgs":false,"family":"Freeman","given":"Laura","email":"","middleInitial":"E. Beane","affiliations":[{"id":65326,"text":"NIH/NCI","active":true,"usgs":false}],"preferred":false,"id":862353,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Givens, Carrie E. 0000-0003-2543-9610","orcid":"https://orcid.org/0000-0003-2543-9610","contributorId":247691,"corporation":false,"usgs":true,"family":"Givens","given":"Carrie","middleInitial":"E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":862354,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Gray, James L. 0000-0002-0807-5635","orcid":"https://orcid.org/0000-0002-0807-5635","contributorId":205658,"corporation":false,"usgs":true,"family":"Gray","given":"James","email":"","middleInitial":"L.","affiliations":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":true,"id":862355,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Hager, Gordon L. 0000-0002-9300-5331","orcid":"https://orcid.org/0000-0002-9300-5331","contributorId":301199,"corporation":false,"usgs":false,"family":"Hager","given":"Gordon","email":"","middleInitial":"L.","affiliations":[{"id":65326,"text":"NIH/NCI","active":true,"usgs":false}],"preferred":false,"id":862356,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":203857,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":862357,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Hoffman, Jonathan N. 0000-0002-1043-5812","orcid":"https://orcid.org/0000-0002-1043-5812","contributorId":301200,"corporation":false,"usgs":false,"family":"Hoffman","given":"Jonathan","email":"","middleInitial":"N.","affiliations":[{"id":65326,"text":"NIH/NCI","active":true,"usgs":false}],"preferred":false,"id":862358,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Jones, Rena R.","contributorId":172577,"corporation":false,"usgs":false,"family":"Jones","given":"Rena","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":862359,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Kanagy, Leslie K. 0000-0001-5073-8538 lkkanagy@usgs.gov","orcid":"https://orcid.org/0000-0001-5073-8538","contributorId":4543,"corporation":false,"usgs":true,"family":"Kanagy","given":"Leslie","email":"lkkanagy@usgs.gov","middleInitial":"K.","affiliations":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":true,"id":862360,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Lane, Rachael F. 0000-0001-9202-0612","orcid":"https://orcid.org/0000-0001-9202-0612","contributorId":222471,"corporation":false,"usgs":true,"family":"Lane","given":"Rachael","email":"","middleInitial":"F.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":862361,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":205663,"corporation":false,"usgs":true,"family":"McCleskey","given":"R. Blaine","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":862362,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Medgyesi, Danielle 0000-0001-8825-5750","orcid":"https://orcid.org/0000-0001-8825-5750","contributorId":301201,"corporation":false,"usgs":false,"family":"Medgyesi","given":"Danielle","email":"","affiliations":[{"id":65326,"text":"NIH/NCI","active":true,"usgs":false}],"preferred":false,"id":862363,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Medlock-Kakaley, Elizabeth 0000-0001-5543-9262","orcid":"https://orcid.org/0000-0001-5543-9262","contributorId":248523,"corporation":false,"usgs":false,"family":"Medlock-Kakaley","given":"Elizabeth","email":"","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":862364,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Meppelink, Shannon M. 0000-0003-1294-7878","orcid":"https://orcid.org/0000-0003-1294-7878","contributorId":204353,"corporation":false,"usgs":true,"family":"Meppelink","given":"Shannon M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":862365,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Meyer, Michael T. 0000-0001-6006-7985","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":205665,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":862366,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Stavreva, Diana A. 0000-0002-7904-6452","orcid":"https://orcid.org/0000-0002-7904-6452","contributorId":301202,"corporation":false,"usgs":false,"family":"Stavreva","given":"Diana","email":"","middleInitial":"A.","affiliations":[{"id":65326,"text":"NIH/NCI","active":true,"usgs":false}],"preferred":false,"id":862367,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Ward, Mary H. 0000-0001-7584-8856","orcid":"https://orcid.org/0000-0001-7584-8856","contributorId":301203,"corporation":false,"usgs":false,"family":"Ward","given":"Mary","email":"","middleInitial":"H.","affiliations":[{"id":65326,"text":"NIH/NCI","active":true,"usgs":false}],"preferred":false,"id":862368,"contributorType":{"id":1,"text":"Authors"},"rank":27}]}}
,{"id":70240633,"text":"70240633 - 2023 - Dissolved carbon export by large river systems is influenced by source area heterogeneity","interactions":[],"lastModifiedDate":"2023-02-10T12:54:31.17047","indexId":"70240633","displayToPublicDate":"2023-01-16T06:52:18","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Dissolved carbon export by large river systems is influenced by source area heterogeneity","docAbstract":"<div class=\"article-section__content en main\"><p>Rivers and streams export inorganic and organic carbon derived from contributing landscapes and so downstream carbon fluxes are important quantitative indicators of change in ecosystem function and for the full accounting of terrestrial carbon budgets. Carbon concentration-discharge (<i>C-Q</i>) relationships in rivers provide important information about carbon source and behavior in watersheds and are useful for estimating carbon export. However,<span>&nbsp;</span><i>C-Q</i><span>&nbsp;</span>relationships are complex in large river systems because of spatial and temporal heterogeneity in carbon dynamics across the watershed and river networks. We quantified dissolved organic carbon (DOC) and dissolved inorganic carbon (DIC) fluxes in the Upper Mississippi River basin and investigated their relationships with land cover and hydrology. The magnitude of dissolved carbon yields ranged widely among stations, 0.6–5.7&nbsp;g DOC m<sup>−2</sup>&nbsp;yr<sup>−1</sup><span>&nbsp;</span>and 2.9–11.8&nbsp;g DIC m<sup>−2</sup>&nbsp;yr<sup>−1</sup>. Spatial patterns in carbon fluxes were strongly related to land cover, with agricultural sites having high DIC/low DOC exports and forested and wetland areas having the opposite. DIC was always negatively related to discharge (<i>Q</i>), while the DOC-<i>Q</i><span>&nbsp;</span>relationship varied with land cover. Differential behavior of carbon across the basin resulted in<span>&nbsp;</span><i>Q</i><span>&nbsp;</span>having a weak relationship with DOC and DIC at the basin outlet. Hence, there is a need to improve understanding of headwater terrestrial-to-aquatic carbon connections in order to improve basin-to-continental-scale carbon export estimates. Our results demonstrate that quantitative understanding of carbon export by large rivers can be improved by incorporating stream network information, such as the timing, location, and source of constituent flux, rather than relying solely upon relationships between constituent behavior and seasonality or discharge at the basin outlet.</p></div>","language":"English","publisher":"Wiley","doi":"10.1029/2022GB007392","usgsCitation":"Stets, E.G., Striegl, R.G., Wickland, K., Dornblaser, M., and Foks, S., 2023, Dissolved carbon export by large river systems is influenced by source area heterogeneity: Global Biogeochemical Cycles, v. 37, no. 2, e2022GB007392, 16 p., https://doi.org/10.1029/2022GB007392.","productDescription":"e2022GB007392, 16 p.","ipdsId":"IP-139031","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":488808,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022gb007392","text":"Publisher Index Page"},{"id":412937,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Wisconsin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -96.80216462129202,\n              47.794847959576856\n            ],\n            [\n              -96.80216462129202,\n              42.97077245133451\n            ],\n            [\n              -89.00518287696865,\n              42.97077245133451\n            ],\n            [\n              -89.00518287696865,\n              47.794847959576856\n            ],\n            [\n              -96.80216462129202,\n              47.794847959576856\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"37","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-01-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Stets, Edward G. 0000-0001-5375-0196 estets@usgs.gov","orcid":"https://orcid.org/0000-0001-5375-0196","contributorId":194490,"corporation":false,"usgs":true,"family":"Stets","given":"Edward","email":"estets@usgs.gov","middleInitial":"G.","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":864033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":false,"id":864034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wickland, Kimberly 0000-0002-6400-0590","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":206313,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":864035,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dornblaser, Mark 0000-0002-6298-3757","orcid":"https://orcid.org/0000-0002-6298-3757","contributorId":220741,"corporation":false,"usgs":true,"family":"Dornblaser","given":"Mark","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":864036,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Foks, Sydney 0000-0002-7668-9735","orcid":"https://orcid.org/0000-0002-7668-9735","contributorId":205290,"corporation":false,"usgs":true,"family":"Foks","given":"Sydney","email":"","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":864037,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70239935,"text":"70239935 - 2023 - Nest-site selection model for endangered Everglade snail kites to inform ecosystem restoration","interactions":[],"lastModifiedDate":"2023-03-28T14:38:56.423278","indexId":"70239935","displayToPublicDate":"2023-01-15T07:09:45","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Nest-site selection model for endangered Everglade snail kites to inform ecosystem restoration","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>dictors of nesting for snail kites in south Florida. The results of our modeling indicate that hydrology, percent canopy cover, and proximity to recently burned areas were the most important factors associated with nest-site selection for snail kites. Water depths between 75 and 100 cm, water recession rates between 0 and 1.25 cm/day, percent canopy covers &lt;20%, and areas &lt;10 km from recently burned habitat were associated with the greatest likelihood of nest-site selection. KiteNest is applicable to natural resource management decisions in the Everglades and may be useful independently or in conjunction with other ecological models for restoration decision support.</p></div></div>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4362","usgsCitation":"Benscoter, A., D’Acunto, L., Haider, S., Fletcher, R.J., and Romanach, S., 2023, Nest-site selection model for endangered Everglade snail kites to inform ecosystem restoration: Ecosphere, v. 14, no. 1, e4362, 15 p.; Data Release, https://doi.org/10.1002/ecs2.4362.","productDescription":"e4362, 15 p.; Data Release","ipdsId":"IP-137186","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":444829,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4362","text":"Publisher Index Page"},{"id":412357,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":414816,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97QIYWF","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.22526042439836,\n              26.854228937845875\n            ],\n            [\n              -82.22526042439836,\n              24.8859735597987\n            ],\n            [\n              -79.59545024487306,\n              24.8859735597987\n            ],\n            [\n              -79.59545024487306,\n              26.854228937845875\n            ],\n            [\n              -82.22526042439836,\n              26.854228937845875\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"14","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Benscoter, Allison 0000-0003-4205-3808","orcid":"https://orcid.org/0000-0003-4205-3808","contributorId":216194,"corporation":false,"usgs":true,"family":"Benscoter","given":"Allison","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":862434,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"D’Acunto, Laura 0000-0001-6227-0143","orcid":"https://orcid.org/0000-0001-6227-0143","contributorId":215343,"corporation":false,"usgs":true,"family":"D’Acunto","given":"Laura","email":"","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":862435,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haider, Saira M. 0000-0001-9306-3454","orcid":"https://orcid.org/0000-0001-9306-3454","contributorId":206253,"corporation":false,"usgs":true,"family":"Haider","given":"Saira","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":862436,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fletcher, Robert J. Jr.","contributorId":300712,"corporation":false,"usgs":false,"family":"Fletcher","given":"Robert","suffix":"Jr.","middleInitial":"J.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":862437,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Romanach, Stephanie 0000-0003-0271-7825","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":216659,"corporation":false,"usgs":true,"family":"Romanach","given":"Stephanie","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":862438,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70239358,"text":"sir20225099 - 2023 - Recent history of glacial lake outburst floods, analysis of channel changes, and development of a two-dimensional flow and sediment transport model of the Snow River near Seward, Alaska","interactions":[],"lastModifiedDate":"2026-02-23T19:23:26.079763","indexId":"sir20225099","displayToPublicDate":"2023-01-12T09:48:28","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-5099","displayTitle":"Recent History of Glacial Lake Outburst Floods, Analysis of Channel Changes, and Development of a Two-Dimensional Flow and Sediment Transport Model of the Snow River near Seward, Alaska","title":"Recent history of glacial lake outburst floods, analysis of channel changes, and development of a two-dimensional flow and sediment transport model of the Snow River near Seward, Alaska","docAbstract":"<p><span>Snow Lake, a glacially dammed lake on the Snow Glacier near Seward, Alaska, drains rapidly every 14 months–3 years, causing flooding along the Snow River. Highway, railroad, and utility infrastructure on the lower Snow River floodplain is vulnerable to flood damage. Historical hydrology, geomorphology, and two-dimensional hydraulic and sediment transport modeling were used to assess the flood risks from Snow Lake outburst floods. Floods have become more frequent, peaked more rapidly, and have had generally higher peaks over the last 20 years as the Snow Glacier has thinned, translating to a greater potential for flood damage. Rapidly shifting channel locations and the occasional introduction of large volumes of debris to the river also threaten infrastructure on the floodplain and in the channel. An assessment of the historical channel planform between 1951 and 2019 showed that there have been more and less stable segments along the lower Snow River and that channel migration has generally been toward the east. An analysis of floodplain elevations using 2008 light detection and ranging (lidar) showed that the main channel is relatively high compared to floodplain channels that carry floodwaters along the railroad grade, so that once the main channel banks are overtopped water rapidly disperses throughout the floodplain. A two-dimensional flow and sediment transport model was developed, and its simulation results were compared to three past outburst floods from 2007, 2017, and 2019. Despite the complex floodplain and channel geometry, coarse resolution of the mesh, and sediment input data, the model successfully simulated areas of observed scour along the railroad grade and at the guidebank to the highway bridge. The modeled water-surface elevations generally replicated peak elevations recorded at a streamgage in the middle of the model domain and at pressure transducers installed on the floodplain and main channel, although there were discrepancies on the rising limb and some locations had a poorer fit than others. A model of a hypothetical check flood, approximately 150 percent of the largest recorded outburst flood, was developed to provide hydraulic variables to use when planning for infrastructure upgrades.</span><span><br></span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225099","collaboration":"Prepared in cooperation with the Alaska Railroad Corporation and the Alaska Department of Transportation and Public Facilities and the Alaska Department of Transportation and Public Facilities","usgsCitation":"Beebee, R.A., 2022, Recent history of glacial lake outburst floods, analysis of channel changes, and development of a two-dimensional flow and sediment transport model of the Snow River near Seward, Alaska: U.S. Geological Survey Scientific Investigations Report 2022–5099, 39 p., https://doi.org/10.3133/sir20225099.","productDescription":"vi, 39 p.","onlineOnly":"Y","ipdsId":"IP-128851","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":490414,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VVQH9D","text":"USGS data release","linkHelpText":"Water Surfaces Elevations During an Outburst Flood from Pressure Transducers at Snow River, Alaska, 2019"},{"id":435509,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9X2YE9O","text":"USGS data release","linkHelpText":"GIS and Hydraulic Model data in Support of a Geomorphic and Hydraulic Assessment of Glacial Outburst Floods on the Snow River near Seward, Alaska"},{"id":411681,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5099/coverthb2.jpg"},{"id":411685,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5099/sir20225099.XML"},{"id":411684,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5099/images"},{"id":411683,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20225099/full","text":"Report","description":"SIR 2022-5099"},{"id":411682,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5099/sir20225099.pdf","text":"Report","size":"11.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5099"},{"id":500453,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114227.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","city":"Seward","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -149.59345352902176,\n              60.45612040349263\n            ],\n            [\n              -149.59345352902176,\n              60.128459300361044\n            ],\n            [\n              -149.14199122584208,\n              60.128459300361044\n            ],\n            [\n              -149.14199122584208,\n              60.45612040349263\n            ],\n            [\n              -149.59345352902176,\n              60.45612040349263\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/asc/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/asc/\">Alaska Science Center</a><br>U.S. Geological Survey<br>4210 University Drive<br>Anchorage, Alaska 99508</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Flood History</li><li>Geomorphic Setting and Human Environment</li><li>Channel Change, Geomorphology, and Debris Recruitment Analysis Methods</li><li>Analysis Results</li><li>Hydraulic and Sediment Transport Modeling</li><li>Results</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishedDate":"2023-01-12","noUsgsAuthors":false,"publicationDate":"2023-01-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Beebee, Robin A. 0000-0002-2976-7294 rbeebee@usgs.gov","orcid":"https://orcid.org/0000-0002-2976-7294","contributorId":5778,"corporation":false,"usgs":true,"family":"Beebee","given":"Robin","email":"rbeebee@usgs.gov","middleInitial":"A.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":861254,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70239959,"text":"70239959 - 2023 - Sea level rise may pose conservation challenges for the endangered Cape Sable seaside sparrow","interactions":[],"lastModifiedDate":"2023-03-28T15:06:10.918038","indexId":"70239959","displayToPublicDate":"2023-01-12T06:56:58","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Sea level rise may pose conservation challenges for the endangered Cape Sable seaside sparrow","docAbstract":"<div class=\"JournalAbstract\"><p>Biodiversity conservation under a changing climate is a challenging endeavor. Landscapes are shifting as a result of climate change and sea level rise but plant communities in particular may not keep up with the pace of change. Predictive ecological models can help decision makers understand how species are likely to respond to change and then adjust management actions to align with desired future conditions. Florida’s Everglades is a wetland ecosystem that is host to many species, including a large number of endangered and endemic species. Everglades ecosystem restoration has been ongoing for decades, but consideration of sea level rise impacts in restoration planning is more recent. Incorporating potential impacts from sea level rise into restoration planning should benefit species and their coastal habitats, most notably at the southern Florida peninsula. The endangered Cape Sable seaside sparrow (<i>Ammospiza maritima mirabilis</i>) occurs in marl prairie habitat at the southern end of the Everglades. The locations of three of its six subpopulations are proximate to the coast. We used a spatially explicit predictive model, EverSparrow, to estimate probability of sparrow presence considering both hydrologic change from restoration and sea level rise. We found that the probability of sparrow presence decreased with increasing sea level rise. Within approximately 50 years, probability of presence significantly decreased for all three coastal subpopulation areas, with areas above 40% probability increasingly limited. Given the exceptionally low dispersal ability of this species and the geographic restrictions for habitat expansion, our results highlight the importance of freshwater flow into the southern Everglades marl prairie for habitat conservation.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/fevo.2022.1085970","usgsCitation":"Romanach, S., Haider, S., and Benscoter, A., 2023, Sea level rise may pose conservation challenges for the endangered Cape Sable seaside sparrow: Frontiers in Ecology and Evolution, v. 10, 1085970, 9 p.; Data Release, https://doi.org/10.3389/fevo.2022.1085970.","productDescription":"1085970, 9 p.; Data Release","ipdsId":"IP-142606","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":444848,"rank":4,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2022.1085970","text":"Publisher Index Page"},{"id":435512,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HM91B0","text":"USGS data release","linkHelpText":" Joint Ecosystem Modeling (JEM) NetCDF R Package"},{"id":412354,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":414820,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KJDZXZ","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.10889714211831,\n              26.208758596487513\n            ],\n            [\n              -82.10889714211831,\n              24.738103225151306\n            ],\n            [\n              -79.59545024487278,\n              24.738103225151306\n            ],\n            [\n              -79.59545024487278,\n              26.208758596487513\n            ],\n            [\n              -82.10889714211831,\n              26.208758596487513\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"10","noUsgsAuthors":false,"publicationDate":"2023-01-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Romanach, Stephanie 0000-0003-0271-7825","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":220761,"corporation":false,"usgs":true,"family":"Romanach","given":"Stephanie","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":862517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haider, Saira M. 0000-0001-9306-3454","orcid":"https://orcid.org/0000-0001-9306-3454","contributorId":206253,"corporation":false,"usgs":true,"family":"Haider","given":"Saira","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":862519,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benscoter, Allison 0000-0003-4205-3808","orcid":"https://orcid.org/0000-0003-4205-3808","contributorId":216194,"corporation":false,"usgs":true,"family":"Benscoter","given":"Allison","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":862520,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70240683,"text":"70240683 - 2023 - Evaluating the spatial and temporal variability of groundwater uptake by riparian vegetation in a humid southeastern US catchment","interactions":[],"lastModifiedDate":"2023-04-12T13:48:07.481221","indexId":"70240683","displayToPublicDate":"2023-01-10T06:40:24","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the spatial and temporal variability of groundwater uptake by riparian vegetation in a humid southeastern US catchment","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>In environments with shallow water tables, vegetation may use groundwater to support transpiration (T<sub>G</sub>). This process has been carefully studied in some arid climates but rarely in humid climates—even those with severe droughts and seasonal water deficits. As such, the role of T<sub>G</sub><span>&nbsp;</span>in humid-catchment hydrology is poorly constrained. We analysed water table fluctuations from nine monitoring wells along three transects in a second-order forested catchment to estimate T<sub>G</sub><span>&nbsp;</span>at plot and whole-riparian zone scales. Average T<sub>G</sub><span>&nbsp;</span>estimated around all well locations ranged from 1.06 to 4.95 mm d<sup>−1</sup><span>&nbsp;</span>and did not change systematically as a function of distance from stream channel or with plot-scale tree basal area. Counter to some previous studies, we found that T<sub>G</sub><span>&nbsp;</span>was greater when the water table depth was deeper. Furthermore, the pattern of T<sub>G</sub><span>&nbsp;</span>with water table depth was not monotonic at all locations. The ratio of T<sub>G</sub><span>&nbsp;</span>to potential evapotranspiration tended to increase over the growing season, reflecting the progressive decrease in soil moisture storage and a greater reliance by vegetation on groundwater. Due to the lack of consistent spatial patterns in T<sub>G</sub>, we explored the number of monitoring wells needed to consistently estimate average T<sub>G</sub><span>&nbsp;</span>within the 95% confidence bounds of the true mean. Based on this analysis, six or more wells were needed to consistently fall within the 95% confidence interval of the true mean. While this is based on the observed variability at a single site, it provides information for others considering this approach in similar upland forested catchments in humid regions.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/eco.2520","usgsCitation":"Riley, J.W., Pangle, L.A., and Aulenbach, B.T., 2023, Evaluating the spatial and temporal variability of groundwater uptake by riparian vegetation in a humid southeastern US catchment: Ecohydrology, v. 16, no. 3, e2520, https://doi.org/10.1002/eco.2520.","productDescription":"e2520","ipdsId":"IP-124836","costCenters":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":444903,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eco.2520","text":"Publisher Index Page"},{"id":413094,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-01-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Riley, Jeffrey W. 0000-0001-5525-3134 jriley@usgs.gov","orcid":"https://orcid.org/0000-0001-5525-3134","contributorId":3605,"corporation":false,"usgs":true,"family":"Riley","given":"Jeffrey","email":"jriley@usgs.gov","middleInitial":"W.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":864289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pangle, Luke A.","contributorId":139465,"corporation":false,"usgs":false,"family":"Pangle","given":"Luke","email":"","middleInitial":"A.","affiliations":[{"id":12774,"text":"Biosphere 2","active":true,"usgs":false}],"preferred":false,"id":864290,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aulenbach, Brent T. 0000-0003-2863-1288 btaulenb@usgs.gov","orcid":"https://orcid.org/0000-0003-2863-1288","contributorId":3057,"corporation":false,"usgs":true,"family":"Aulenbach","given":"Brent","email":"btaulenb@usgs.gov","middleInitial":"T.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":864291,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70239384,"text":"70239384 - 2023 - Long-term, high-resolution permafrost monitoring reveals coupled energy balance and hydrogeologic controls on talik dynamics near Umiujaq (Nunavik, Québec, Canada)","interactions":[],"lastModifiedDate":"2023-01-18T17:50:00.30126","indexId":"70239384","displayToPublicDate":"2023-01-09T07:01:48","publicationYear":"2023","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":"Long-term, high-resolution permafrost monitoring reveals coupled energy balance and hydrogeologic controls on talik dynamics near Umiujaq (Nunavik, Québec, Canada)","docAbstract":"<div class=\"article-section__content en main\"><p>Rising temperatures in the Arctic and subarctic are driving the rapid thaw of permafrost by reducing permafrost cooling, increasing active layer thickness, and promoting talik formation. In this study, the cyrohydrogeology of a permafrost mound located within the discontinuous permafrost zone near Umiujaq (Nunavik, Québec, Canada) is characterized through the analysis of a dataset covering more than two decades of monitoring. This dataset captures a high degree of interannual variability in air temperature and ground thermal conditions, as well as the formation and closure of a supra-permafrost talik. Data indicate that variable saturation and advective heat transport directly contribute to the expansion and contraction of the talik. Data further indicate the presence of two distinct thermo-hydrologic settings resulting from differences in surface conditions, as well as subsurface thermal and flow regimes. The first, found at the top of the mound feature, is characterized by very low moisture contents (&lt; 0.05 m<sup>3</sup>/m<sup>3</sup>), while the second, found at the side of the mound feature, shows higher annual moisture contents that strongly influence the dynamics of heat and groundwater flow. The data were synthesized into a detailed conceptual model of the cyrohydrogeological dynamics that highlights the important role of hydrogeological characterization and long-term datasets in understanding the effects of groundwater flow on seasonal frost and permafrost dynamics. Specifically, the results presented here show that in the absence of long-term datasets, longer-period transient phenomena such as talik opening and closure may be misrepresented as uni-directional feedback loops, as opposed to highly-dynamic temporary phenomena.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022WR032456","usgsCitation":"Fortier, P., Lemieux, J., Young, N.L., Walvoord, M.A., and Fortier, R., 2023, Long-term, high-resolution permafrost monitoring reveals coupled energy balance and hydrogeologic controls on talik dynamics near Umiujaq (Nunavik, Québec, Canada): Water Resources Research, v. 59, no. 1, e2022WR032456, 21 p., https://doi.org/10.1029/2022WR032456.","productDescription":"e2022WR032456, 21 p.","ipdsId":"IP-142800","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":498445,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/1b0cf335738a49f58b38d58f884ae3e5","text":"External Repository"},{"id":411711,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Nunavik, Quebec","otherGeospatial":"Umiujaq","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -90.69453197570087,\n              66.7800436363751\n            ],\n            [\n              -90.69453197570087,\n              52.845451858620436\n            ],\n            [\n              -70.57367974489938,\n              52.845451858620436\n            ],\n            [\n              -70.57367974489938,\n              66.7800436363751\n            ],\n            [\n              -90.69453197570087,\n              66.7800436363751\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"59","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-01-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Fortier, Philippe","contributorId":300757,"corporation":false,"usgs":false,"family":"Fortier","given":"Philippe","email":"","affiliations":[{"id":39893,"text":"Laval University","active":true,"usgs":false}],"preferred":false,"id":861375,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lemieux, Jean-Michel","contributorId":300758,"corporation":false,"usgs":false,"family":"Lemieux","given":"Jean-Michel","email":"","affiliations":[{"id":65253,"text":"University Laval","active":true,"usgs":false}],"preferred":false,"id":861376,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, Nathan L","contributorId":300759,"corporation":false,"usgs":false,"family":"Young","given":"Nathan","email":"","middleInitial":"L","affiliations":[{"id":39893,"text":"Laval University","active":true,"usgs":false}],"preferred":false,"id":861377,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walvoord, Michelle A. 0000-0003-4269-8366","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":211843,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":861378,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fortier, Richard","contributorId":300760,"corporation":false,"usgs":false,"family":"Fortier","given":"Richard","email":"","affiliations":[{"id":39893,"text":"Laval University","active":true,"usgs":false}],"preferred":false,"id":861379,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70229149,"text":"70229149 - 2023 - Hydrogeologic framework of the Red River alluvial aquifer and Carrizo-Wilcox aquifer in northwestern Louisiana","interactions":[],"lastModifiedDate":"2024-03-27T15:25:22.211038","indexId":"70229149","displayToPublicDate":"2023-01-01T10:17:05","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5505,"text":"Water Resources Technical Report of the Louisiana Department of Transportation and Development, Office of Public Works","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"82","title":"Hydrogeologic framework of the Red River alluvial aquifer and Carrizo-Wilcox aquifer in northwestern Louisiana","docAbstract":"<p>Groundwater in northwestern Louisiana is a valuable resource needed for expanding public-supply needs as well as possible energy development needs arising from Haynesville Formation natural-gas production. The Red River alluvial and the Carrizo-Wilcox aquifers are two of the most important and heavily pumped aquifers in northwestern Louisiana; however, little documentation of the regional hydrogeologic framework is available. The U.S. Geological Survey and the Louisiana Department of Transportation and Development have consolidated information from, and built upon, previous studies of the Red River alluvial and the Carrizo-Wilcox aquifers to characterize and document the regional hydrogeologic framework of northwestern Louisiana. </p><p>The study area has been tectonically modified and includes abundant structural features such as salt domes and areally extensive faulting in addition to minor folding related to these features, all of which impact the sedimentological and hydraulic characteristics of the freshwater-bearing strata. The hydrogeologic framework of northwestern Louisiana comprises a sequence of structurally modifi ed, complexly interbedded, varyingly interconnected, clayey, sandy, and gravelly alluvial sediments. The important freshwater hydrogeologic units include the Quaternary Red River alluvial and upland terrace aquifers, and the underlying Tertiary Sparta, Cane River, and Carrizo-Wilcox aquifers. The Midway confining unit underlies the Carrizo-Wilcox aquifer throughout the study area. No freshwater is present in or below the Midway Group. </p><p>Tertiary-age formations exposed at land surface in the study area have been incised by the Red River and are hydraulically connected to the Quaternary Red River alluvium in the Red River valley. In 2010, 7.73 million gallons per day (Mgal/d) of water were withdrawn from the Red River alluvial aquifer in the study area, representing an increase of 2.00 Mgal/d, or about 35 percent, over 2005 withdrawal rates. </p><p>The Tertiary Carrizo Sand and Wilcox Group crop out across much of the study area. The two units are hydraulically connected and function as a single hydrologic unit referred to as the Carrizo-Wilcox aquifer. In 2010, 19.33 Mgal/d of water were withdrawn from the Carrizo-Wilcox aquifer in the study area, representing an increase of nearly 1.8 Mgal/d, or about 10 percent, over 2005 withdrawal rates. Any expansion in energy development, as well as water needs of an increasing population, could result in an increased demand on groundwater in northwestern Louisiana.</p>","language":"English","publisher":"Louisiana Department of Transportation and Development","usgsCitation":"Hays, P.D., Nottmeier, A.M., Fendick, R.B., Daugherty, W.J., and Carter, K., 2023, Hydrogeologic framework of the Red River alluvial aquifer and Carrizo-Wilcox aquifer in northwestern Louisiana: Water Resources Technical Report of the Louisiana Department of Transportation and Development, Office of Public Works 82, 35 p.","productDescription":"35 p.","ipdsId":"IP-122443","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":427146,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":427145,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://wise.er.usgs.gov/dp/pdfs/USGSDOTD_WRTR82.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Louisiana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -94.04836792990136,\n              33.02200760162475\n            ],\n            [\n              -94.04836792990136,\n              31.205735114403552\n            ],\n            [\n              -91.87339632735423,\n              31.205735114403552\n            ],\n            [\n              -91.87339632735423,\n              33.02200760162475\n            ],\n            [\n              -94.04836792990136,\n              33.02200760162475\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hays, Phillip D. 0000-0001-5491-9272 pdhays@usgs.gov","orcid":"https://orcid.org/0000-0001-5491-9272","contributorId":4145,"corporation":false,"usgs":true,"family":"Hays","given":"Phillip","email":"pdhays@usgs.gov","middleInitial":"D.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":836782,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nottmeier, Anna M. 0000-0002-0205-0955 anottmeier@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-0955","contributorId":5283,"corporation":false,"usgs":true,"family":"Nottmeier","given":"Anna","email":"anottmeier@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":836783,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fendick, Robert B.","contributorId":287472,"corporation":false,"usgs":false,"family":"Fendick","given":"Robert","email":"","middleInitial":"B.","affiliations":[{"id":37374,"text":"Retired USGS","active":true,"usgs":false}],"preferred":false,"id":836784,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Daugherty, William J.","contributorId":287473,"corporation":false,"usgs":false,"family":"Daugherty","given":"William","email":"","middleInitial":"J.","affiliations":[{"id":37814,"text":"Former USGS","active":true,"usgs":false}],"preferred":false,"id":897434,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carter, Kayla kcarter@usgs.gov","contributorId":5681,"corporation":false,"usgs":true,"family":"Carter","given":"Kayla","email":"kcarter@usgs.gov","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":897435,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70239356,"text":"70239356 - 2023 - Improving the operational simplified surface energy balance evapotranspiration model using the forcing and normalizing operation","interactions":[],"lastModifiedDate":"2023-01-10T13:18:25.464452","indexId":"70239356","displayToPublicDate":"2023-01-01T07:17:05","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Improving the operational simplified surface energy balance evapotranspiration model using the forcing and normalizing operation","docAbstract":"<div class=\"html-p\">Actual evapotranspiration modeling is providing useful information for researchers and resource managers in agriculture and water resources around the world. The performance of models depends on the accuracy of forcing inputs and model parameters. We developed an improved approach to the parameterization of the Operational Simplified Surface Energy Balance (SSEBop) model using the Forcing and Normalizing Operation (FANO). SSEBop has two key model parameters that define the model boundary conditions. The FANO algorithm computes the wet-bulb boundary condition using a linear FANO Equation relating surface temperature, surface psychrometric constant, and the Normalized Difference Vegetation Index (NDVI). The FANO parameterization was implemented on two computing platforms using Landsat and gridded meteorological datasets: (1) Google Earth Engine (GEE) and (2) Earth Resources Observation and Science (EROS) Center Science Processing Architecture (ESPA). Evaluation was conducted by comparing modeled actual evapotranspiration (<span class=\"html-italic\">ETa</span>) estimates with AmeriFlux eddy covariance (EC) and water balance<span>&nbsp;</span><span class=\"html-italic\">ETa</span><span>&nbsp;</span>from level-8 Hydrologic Unit Code sub-basins in the conterminous United States. FANO brought substantial improvements in model accuracy and operational implementation. Compared to the earlier version (v0.1.7), SSEBop FANO (v0.2.6) reduced grassland bias from 47% to −2% while maintaining comparable bias for croplands (11% versus −7%) against EC data. A water balance-based<span>&nbsp;</span><span class=\"html-italic\">ETa</span><span>&nbsp;</span>bias evaluation showed an overall improvement from 7% to −1%. Climatology versus annual gridded reference evapotranspiration (<span class=\"html-italic\">ETr</span>) produced comparable<span>&nbsp;</span><span class=\"html-italic\">ETa</span><span>&nbsp;</span>results, justifying the use of climatology<span>&nbsp;</span><span class=\"html-italic\">ETr</span><span>&nbsp;</span>for the global SSEBop Landsat<span>&nbsp;</span><span class=\"html-italic\">ETa</span><span>&nbsp;</span>that is accessible through the ESPA website. Besides improvements in model accuracy, SSEBop FANO increases the spatiotemporal coverage of ET modeling due to the elimination of high NDVI requirements for model parameterization. Because of the existence of potential biases from forcing inputs and model parameters, continued evaluation and bias corrections are necessary to improve the absolute magnitude of<span>&nbsp;</span><span class=\"html-italic\">ETa</span><span>&nbsp;</span>for localized water budget applications.</div>","language":"English","publisher":"MDPI","doi":"10.3390/rs15010260","usgsCitation":"Senay, G.B., Parrish, G.E., Schauer, M., Friedrichs, M., Khand, K., Boiko, O., Kagone, S., Dittmeier, R., Arab, S., and Ji, L., 2023, Improving the operational simplified surface energy balance evapotranspiration model using the forcing and normalizing operation: Remote Sensing, v. 15, no. 1, 260, 25 p., https://doi.org/10.3390/rs15010260.","productDescription":"260, 25 p.","ipdsId":"IP-146439","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":444995,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs15010260","text":"Publisher Index Page"},{"id":435525,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NKWT3D","text":"USGS data release","linkHelpText":"Forcing and Normalizing Operation (FANO) method for the Operational Simplified Surface Energy Balance (SSEBop) ET model"},{"id":411621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-01-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":861239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parrish, Gabriel Edwin Lee 0000-0003-4078-3516","orcid":"https://orcid.org/0000-0003-4078-3516","contributorId":267751,"corporation":false,"usgs":false,"family":"Parrish","given":"Gabriel","email":"","middleInitial":"Edwin Lee","affiliations":[{"id":55490,"text":"Innovate! Inc., Contractor to the USGS EROS Center","active":true,"usgs":false}],"preferred":false,"id":861240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schauer, Matthew 0000-0002-4198-3379","orcid":"https://orcid.org/0000-0002-4198-3379","contributorId":181608,"corporation":false,"usgs":false,"family":"Schauer","given":"Matthew","affiliations":[],"preferred":false,"id":861241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Friedrichs, MacKenzie 0000-0002-9602-321X","orcid":"https://orcid.org/0000-0002-9602-321X","contributorId":199093,"corporation":false,"usgs":false,"family":"Friedrichs","given":"MacKenzie","affiliations":[],"preferred":false,"id":861242,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Khand, Kul Bikram 0000-0002-1593-1508","orcid":"https://orcid.org/0000-0002-1593-1508","contributorId":259185,"corporation":false,"usgs":false,"family":"Khand","given":"Kul Bikram","affiliations":[{"id":52326,"text":"AFDS, Contractor to USGS ERSOS Center","active":true,"usgs":false}],"preferred":false,"id":861243,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boiko, Olena 0000-0002-2007-7852","orcid":"https://orcid.org/0000-0002-2007-7852","contributorId":272079,"corporation":false,"usgs":false,"family":"Boiko","given":"Olena","email":"","affiliations":[{"id":56343,"text":"KBR, Contractor to USGS Earth Resources Observation and Science Center","active":true,"usgs":false}],"preferred":false,"id":861244,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kagone, Stefanie 0000-0002-2979-4655","orcid":"https://orcid.org/0000-0002-2979-4655","contributorId":199091,"corporation":false,"usgs":false,"family":"Kagone","given":"Stefanie","affiliations":[],"preferred":false,"id":861245,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dittmeier, Ray","contributorId":299963,"corporation":false,"usgs":false,"family":"Dittmeier","given":"Ray","email":"","affiliations":[{"id":61731,"text":"KBR","active":true,"usgs":false}],"preferred":false,"id":861246,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Arab, Saeed 0000-0003-1602-8801","orcid":"https://orcid.org/0000-0003-1602-8801","contributorId":299964,"corporation":false,"usgs":false,"family":"Arab","given":"Saeed","email":"","affiliations":[{"id":61731,"text":"KBR","active":true,"usgs":false}],"preferred":false,"id":861247,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ji, Lei 0000-0002-6133-1036","orcid":"https://orcid.org/0000-0002-6133-1036","contributorId":272078,"corporation":false,"usgs":false,"family":"Ji","given":"Lei","affiliations":[{"id":56342,"text":"ASRC Federal Data Solutions, Contractor to USGS Earth Resources Observation and Science Center","active":true,"usgs":false}],"preferred":false,"id":861248,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70229507,"text":"70229507 - 2023 - Vulnerable waters are essential to watershed resilience","interactions":[],"lastModifiedDate":"2024-05-20T13:45:00.529401","indexId":"70229507","displayToPublicDate":"2023-01-01T06:36:18","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Vulnerable waters are essential to watershed resilience","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Watershed resilience is the ability of a watershed to maintain its characteristic system state while concurrently resisting, adapting to, and reorganizing after hydrological (for example, drought, flooding) or biogeochemical (for example, excessive nutrient) disturbances. Vulnerable waters include non-floodplain wetlands and headwater streams, abundant watershed components representing the most distal extent of the freshwater aquatic network. Vulnerable waters are hydrologically dynamic and biogeochemically reactive aquatic systems, storing, processing, and releasing water and entrained (that is, dissolved and particulate) materials along expanding and contracting aquatic networks. The hydrological and biogeochemical functions emerging from these processes affect the magnitude, frequency, timing, duration, storage, and rate of change of material and energy fluxes among watershed components and to downstream waters, thereby maintaining watershed states and imparting watershed resilience. We present here a conceptual framework for understanding how vulnerable waters confer watershed resilience. We demonstrate how individual and cumulative vulnerable-water modifications (for example, reduced extent, altered connectivity) affect watershed-scale hydrological and biogeochemical disturbance response and recovery, which decreases watershed resilience and can trigger transitions across thresholds to alternative watershed states (for example, states conducive to increased flood frequency or nutrient concentrations). We subsequently describe how resilient watersheds require spatial heterogeneity and temporal variability in hydrological and biogeochemical interactions between terrestrial systems and down-gradient waters, which necessitates attention to the conservation and restoration of vulnerable waters and their downstream connectivity gradients. To conclude, we provide actionable principles for resilient watersheds and articulate research needs to further watershed resilience science and vulnerable-water management.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10021-021-00737-2","usgsCitation":"Lane, C., Creed, I., Golden, H.E., Leibowitz, S.G., Mushet, D., Rains, M.C., Wu, Q., D’Amico, E., Alexander, L., Ali, G.A., Basu, N.B., Bennett, M.G., Christensen, J.R., Cohen, M.J., Covino, T.P., DeVries, B., Hill, R.A., Jencso, K.G., Lang, M.W., McLaughlin, D.L., Rosenberry, D., Rover, J., and Vanderhoof, M.K., 2023, Vulnerable waters are essential to watershed resilience: Ecosystems, v. 26, p. 1-28, https://doi.org/10.1007/s10021-021-00737-2.","productDescription":"28 p.","startPage":"1","endPage":"28","ipdsId":"IP-126168","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":444998,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10021-021-00737-2","text":"Publisher Index Page"},{"id":396895,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","noUsgsAuthors":false,"publicationDate":"2022-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Lane, Charles R.","contributorId":138991,"corporation":false,"usgs":false,"family":"Lane","given":"Charles R.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":837631,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Creed, Irena F.","contributorId":81209,"corporation":false,"usgs":false,"family":"Creed","given":"Irena F.","affiliations":[{"id":27655,"text":"Department of Biology, University of Western Ontario, London, ON Canada","active":true,"usgs":false}],"preferred":false,"id":837632,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Golden, Heather E.","contributorId":202423,"corporation":false,"usgs":false,"family":"Golden","given":"Heather","email":"","middleInitial":"E.","affiliations":[{"id":36429,"text":"USEPA ORD","active":true,"usgs":false}],"preferred":false,"id":837633,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leibowitz, Scott G.","contributorId":156432,"corporation":false,"usgs":false,"family":"Leibowitz","given":"Scott","email":"","middleInitial":"G.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":837634,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mushet, David M. 0000-0002-5910-2744","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":248468,"corporation":false,"usgs":true,"family":"Mushet","given":"David M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":837635,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rains, Mark C.","contributorId":138983,"corporation":false,"usgs":false,"family":"Rains","given":"Mark","email":"","middleInitial":"C.","affiliations":[{"id":12607,"text":"Univ of South florida, School of Geosciences, Tampa FL","active":true,"usgs":false}],"preferred":false,"id":837636,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wu, Qiusheng","contributorId":208272,"corporation":false,"usgs":false,"family":"Wu","given":"Qiusheng","email":"","affiliations":[{"id":37769,"text":"Binghamton University","active":true,"usgs":false}],"preferred":false,"id":837637,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"D’Amico, Ellen","contributorId":156399,"corporation":false,"usgs":false,"family":"D’Amico","given":"Ellen","email":"","affiliations":[],"preferred":false,"id":837638,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Alexander, Laurie C.","contributorId":138989,"corporation":false,"usgs":false,"family":"Alexander","given":"Laurie C.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":837639,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ali, Genevieve A.","contributorId":288292,"corporation":false,"usgs":false,"family":"Ali","given":"Genevieve","email":"","middleInitial":"A.","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":837640,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Basu, Nandita B.","contributorId":288293,"corporation":false,"usgs":false,"family":"Basu","given":"Nandita","email":"","middleInitial":"B.","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":837641,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Bennett, Micah G.","contributorId":288294,"corporation":false,"usgs":false,"family":"Bennett","given":"Micah","email":"","middleInitial":"G.","affiliations":[{"id":37230,"text":"EPA","active":true,"usgs":false}],"preferred":false,"id":837642,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Christensen, Jay R.","contributorId":179361,"corporation":false,"usgs":false,"family":"Christensen","given":"Jay","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":837643,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Cohen, Matthew J.","contributorId":138990,"corporation":false,"usgs":false,"family":"Cohen","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":837644,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Covino, Tim P.","contributorId":288295,"corporation":false,"usgs":false,"family":"Covino","given":"Tim","email":"","middleInitial":"P.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":837645,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"DeVries, Ben 0000-0003-2136-3401","orcid":"https://orcid.org/0000-0003-2136-3401","contributorId":198971,"corporation":false,"usgs":false,"family":"DeVries","given":"Ben","email":"","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":837646,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Hill, Ryan A.","contributorId":198332,"corporation":false,"usgs":false,"family":"Hill","given":"Ryan","email":"","middleInitial":"A.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":837647,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Jencso, Kelsey G.","contributorId":32375,"corporation":false,"usgs":false,"family":"Jencso","given":"Kelsey","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":837648,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Lang, Megan W.","contributorId":131150,"corporation":false,"usgs":false,"family":"Lang","given":"Megan","email":"","middleInitial":"W.","affiliations":[{"id":7264,"text":"USDA Forest Service, Northern Research Station, Beltsville, MD 20705","active":true,"usgs":false}],"preferred":false,"id":837649,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"McLaughlin, Daniel L.","contributorId":156435,"corporation":false,"usgs":false,"family":"McLaughlin","given":"Daniel","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":837650,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Rosenberry, Donald O. 0000-0003-0681-5641","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":257638,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald O.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":837651,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Rover, Jennifer 0000-0002-3437-4030","orcid":"https://orcid.org/0000-0002-3437-4030","contributorId":211850,"corporation":false,"usgs":true,"family":"Rover","given":"Jennifer","email":"","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":837652,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Vanderhoof, Melanie K. 0000-0002-0101-5533 mvanderhoof@usgs.gov","orcid":"https://orcid.org/0000-0002-0101-5533","contributorId":168395,"corporation":false,"usgs":true,"family":"Vanderhoof","given":"Melanie","email":"mvanderhoof@usgs.gov","middleInitial":"K.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":837653,"contributorType":{"id":1,"text":"Authors"},"rank":23}]}}
,{"id":70239219,"text":"70239219 - 2023 - Assessment of cropland inundation due to the operation of the Reelfoot Lake spillway in West Tennessee","interactions":[],"lastModifiedDate":"2023-08-07T16:55:22.918741","indexId":"70239219","displayToPublicDate":"2022-12-30T06:51:42","publicationYear":"2023","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":"Assessment of cropland inundation due to the operation of the Reelfoot Lake spillway in West Tennessee","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Running Reelfoot Bayou (RRB) is the outlet canal of Reelfoot Lake, the largest natural lake in Tennessee. RRB is not able to contain discharge from Reelfoot Lake greater than the bankfull discharge of 28 m<sup>3</sup>/s (1000 ft<sup>3</sup>/s), which typically occurs at the beginning of the growing season (April–June). Historically, the planting of crops has been delayed until flooding subsides and cropland has drained. The objective of this study is a preliminary quantification of cropland inundation to determine its spatial distribution in the RRB floodplain. Inundated croplands in the RRB floodplain were delineated over a range of spillway discharges from 2 to 57 m<sup>3</sup>/s (70–2000 ft<sup>3</sup>/s), using one-dimensional–two-dimensional hydrodynamic modeling and multispectral satellite images (Landsat 8 and Sentinel-2). The composite maps made by combining the simulated and image-derived flood maps were overlaid on the United States Department of Agriculture CropScape layer to determine the inundation of individual summer crops during the growing season. About 25% of the inundated croplands are flooded at discharges of RRB less than 28 m<sup>3</sup>/s, implying wetland hydrology. The results of this analysis can be used to inform operational management of the Reelfoot Lake spillway.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.13092","usgsCitation":"Bhuyian, N., Lahiri, C., Diehl, T.H., and Heal, E., 2023, Assessment of cropland inundation due to the operation of the Reelfoot Lake spillway in West Tennessee: Journal of the American Water Resources Association, v. 59, no. 4, p. 855-873, https://doi.org/10.1111/1752-1688.13092.","productDescription":"19 p.","startPage":"855","endPage":"873","ipdsId":"IP-124997","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":445008,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.13092","text":"Publisher Index Page"},{"id":411335,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -89.58348471060779,\n              36.42528433341498\n            ],\n            [\n              -89.58348471060779,\n              36.07800148864851\n            ],\n            [\n              -89.2636166393048,\n              36.07800148864851\n            ],\n            [\n              -89.2636166393048,\n              36.42528433341498\n            ],\n            [\n              -89.58348471060779,\n              36.42528433341498\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"59","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-12-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Bhuyian, N.M. 0000-0001-8101-8453","orcid":"https://orcid.org/0000-0001-8101-8453","contributorId":300553,"corporation":false,"usgs":false,"family":"Bhuyian","given":"N.M.","email":"","affiliations":[{"id":65197,"text":"Environmental Consultant 3, West Tennessee River Basin Authority","active":true,"usgs":false}],"preferred":false,"id":860798,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lahiri, Chayan 0000-0002-7454-4196","orcid":"https://orcid.org/0000-0002-7454-4196","contributorId":300554,"corporation":false,"usgs":false,"family":"Lahiri","given":"Chayan","email":"","affiliations":[{"id":65199,"text":"Assistant Professor, Department of Biology and Geosciences, Adams State University","active":true,"usgs":false}],"preferred":false,"id":860799,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diehl, Timothy H. 0000-0001-9691-2212 thdiehl@usgs.gov","orcid":"https://orcid.org/0000-0001-9691-2212","contributorId":546,"corporation":false,"usgs":true,"family":"Diehl","given":"Timothy","email":"thdiehl@usgs.gov","middleInitial":"H.","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":860800,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heal, Elizabeth 0000-0002-1196-4708 eheal@usgs.gov","orcid":"https://orcid.org/0000-0002-1196-4708","contributorId":177003,"corporation":false,"usgs":true,"family":"Heal","given":"Elizabeth","email":"eheal@usgs.gov","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":860801,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70239299,"text":"70239299 - 2023 - The potential of Prairie Pothole wetlands as an agricultural conservation practice: A synthesis of empirical data","interactions":[],"lastModifiedDate":"2023-01-09T12:37:28.949391","indexId":"70239299","displayToPublicDate":"2022-12-28T06:33:38","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"The potential of Prairie Pothole wetlands as an agricultural conservation practice: A synthesis of empirical data","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Nutrient pollution causing harmful algal blooms and eutrophication is a major threat to aquatic systems. Throughout North America, agricultural activities are the largest source of excess nutrients entering these systems. Agricultural intensification has also been a driver in the historical removal of depressional wetlands, contributing to increased hydrological connectivity across watersheds, and moving more nutrient runoff into terminal waterbodies such as the Laurentian Great Lakes and Gulf of Mexico. The Prairie Pothole Region of North America (PPR) supports grassland, cropland, wetland, and riverine systems that connect to the Missouri, Mississippi, and Red River Basins. There is a need to synthesize scientific understanding to guide more targeted conservation efforts and better understand knowledge gaps. We reviewed 200 empirical studies and synthesized results from across a minimum of 9 and maximum of 43 wetland basins (depending on the variable data available). We found an average wetland removal rate of nitrate and phosphate of 53% and 68%, respectively. Literature also showed sedimentation rates to be twice as high in wetland basins situated within croplands compared to grasslands. Our synthesis enhances understanding of nutrient processing in wetlands of the PPR and highlights the need for more empirical field-based studies throughout the region.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s13157-022-01638-3","usgsCitation":"Ross, C.D., and McKenna, O.P., 2023, The potential of Prairie Pothole wetlands as an agricultural conservation practice: A synthesis of empirical data: Wetlands, v. 43, 5, 11 p., https://doi.org/10.1007/s13157-022-01638-3.","productDescription":"5, 11 p.","ipdsId":"IP-136498","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":445024,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s13157-022-01638-3","text":"Publisher Index Page"},{"id":411556,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Minnesota, Montana, North Dakota, South Dakota","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -96.30771789114317,\n              48.92199520511758\n            ],\n            [\n              -113.79052766151344,\n              48.921677204911475\n            ],\n            [\n              -112.03346135293332,\n              47.75100776617096\n            ],\n            [\n              -106.58655579633512,\n              48.10752393312376\n            ],\n            [\n              -102.10603670945694,\n              47.754083911724024\n            ],\n            [\n              -100.61253034716353,\n              46.80045376351751\n            ],\n            [\n              -99.73399719287399,\n              46.07394083088556\n            ],\n            [\n              -99.11902398487062,\n              45.2140927155117\n            ],\n            [\n              -98.2404908305811,\n              43.8995710072418\n            ],\n            [\n              -96.74698446828766,\n              43.00673269123669\n            ],\n            [\n              -94.72635821342084,\n              41.6427951935041\n            ],\n            [\n              -92.44217201226677,\n              41.445535390792884\n            ],\n            [\n              -91.91505211969283,\n              43.4547995893258\n            ],\n            [\n              -94.1992383208469,\n              45.95191334145599\n            ],\n            [\n              -96.30771789114317,\n              48.92199520511758\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"43","noUsgsAuthors":false,"publicationDate":"2022-12-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Ross, Caryn D 0000-0002-9125-1424","orcid":"https://orcid.org/0000-0002-9125-1424","contributorId":300667,"corporation":false,"usgs":true,"family":"Ross","given":"Caryn","email":"","middleInitial":"D","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":861074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKenna, Owen P. 0000-0002-5937-9436 omckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-5937-9436","contributorId":198598,"corporation":false,"usgs":true,"family":"McKenna","given":"Owen","email":"omckenna@usgs.gov","middleInitial":"P.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":861075,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70239227,"text":"70239227 - 2023 - Hydrologic and landscape controls on dissolved organic matter composition across western North American Arctic lakes","interactions":[],"lastModifiedDate":"2023-01-04T13:01:40.595403","indexId":"70239227","displayToPublicDate":"2022-12-22T06:59:27","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic and landscape controls on dissolved organic matter composition across western North American Arctic lakes","docAbstract":"<div class=\"article-section__content en main\"><p>Northern high-latitude lakes are hotspots for cycling dissolved organic carbon (DOC) inputs from allochthonous sources to the atmosphere. However, the spatial distribution of lake dissolved organic matter (DOM) is largely unknown across Arctic-boreal regions with respect to the surrounding landscape. We expand on regional studies of northern high-latitude DOM composition by integrating DOC concentrations, optical properties, and molecular-level characterization from lakes spanning the Canadian Taiga to the Alaskan Tundra. Lakes were sampled during the summer from July to early September to capture the growing season. DOM became more optically processed and molecular-level aromaticity increased northward across the Canadian Shield to the southern Arctic and from interior Alaska to the Tundra, suggesting relatively greater DOM incorporation from allochthonous sources. Using water isotopes (δ<sup>18</sup>O-H<sub>2</sub>O), we report a weak overall trend of increasing DOC and decreasing aromaticity in lakes that were hydrologically isolated from the landscape and enriched in δ<sup>18</sup>O-H<sub>2</sub>O, while within-region trends were stronger and varied depending on the landscape. Finally, DOC correlated weakly with chromophoric dissolved organic matter (CDOM) across the study sites, suggesting that autochthonous and photobleached DOM were a major component of the DOC in these regions; however, some of the northernmost and wetland-dominated lakes followed pan-Arctic riverine DOC-CDOM relationships, indicating strong contributions from allochthonous inputs. As many lakes across the North American Arctic are experiencing changes in temperature and precipitation, we expect the proportions of allochthonous and autochthonous DOM to respond with aquatic optical browning with greater landscape connectivity and more internally produced DOM in hydrologically isolated lakes.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022GB007495","usgsCitation":"Kurek, M.R., Garcia-Tigreros, F., Wickland, K., Frey, K., Dornblaser, M., Striegl, R.G., Niles, S.F., McKenna, A.M., Aukes, P.J., Kyzivat, E.D., Wang, C., Pavelsky, T.M., Smith, L., Schiff, S.L., Butman, D., and Spencer, R., 2023, Hydrologic and landscape controls on dissolved organic matter composition across western North American Arctic lakes: Global Biogeochemical Cycles, v. 37, no. 1, e2022GB007495, 22 p., https://doi.org/10.1029/2022GB007495.","productDescription":"e2022GB007495, 22 p.","ipdsId":"IP-142155","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":498446,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://commons.clarku.edu/faculty_geography/562","text":"External Repository"},{"id":411337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -166.44504741027245,\n              71.77940254497821\n            ],\n            [\n              -166.44504741027245,\n              54.234017253315244\n            ],\n            [\n              -109.86751227399826,\n              54.234017253315244\n            ],\n            [\n              -109.86751227399826,\n              71.77940254497821\n            ],\n            [\n              -166.44504741027245,\n              71.77940254497821\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"37","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-12-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Kurek, Martin R.","contributorId":300567,"corporation":false,"usgs":false,"family":"Kurek","given":"Martin","email":"","middleInitial":"R.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":860822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garcia-Tigreros, Fenix 0000-0001-8694-9046","orcid":"https://orcid.org/0000-0001-8694-9046","contributorId":194744,"corporation":false,"usgs":false,"family":"Garcia-Tigreros","given":"Fenix","email":"","affiliations":[],"preferred":false,"id":860823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wickland, Kimberly 0000-0002-6400-0590","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":208471,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":860824,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frey, Karen E.","contributorId":300568,"corporation":false,"usgs":false,"family":"Frey","given":"Karen E.","affiliations":[{"id":24788,"text":"Clark University","active":true,"usgs":false}],"preferred":false,"id":860825,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dornblaser, Mark 0000-0002-6298-3757","orcid":"https://orcid.org/0000-0002-6298-3757","contributorId":220741,"corporation":false,"usgs":true,"family":"Dornblaser","given":"Mark","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":860826,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":860827,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Niles, Sydney F.","contributorId":300569,"corporation":false,"usgs":false,"family":"Niles","given":"Sydney","email":"","middleInitial":"F.","affiliations":[{"id":65203,"text":"National High Magnetic Field Laboratory","active":true,"usgs":false}],"preferred":false,"id":860828,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McKenna, Amy M.","contributorId":298033,"corporation":false,"usgs":false,"family":"McKenna","given":"Amy","email":"","middleInitial":"M.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":860829,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Aukes, Pieter J.K","contributorId":300570,"corporation":false,"usgs":false,"family":"Aukes","given":"Pieter","email":"","middleInitial":"J.K","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":860830,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kyzivat, Ethan D.","contributorId":300572,"corporation":false,"usgs":false,"family":"Kyzivat","given":"Ethan","email":"","middleInitial":"D.","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":860831,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wang, Chao","contributorId":292527,"corporation":false,"usgs":false,"family":"Wang","given":"Chao","email":"","affiliations":[{"id":27517,"text":"University of North Carolina - Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":860832,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Pavelsky, Tamlin M.","contributorId":258838,"corporation":false,"usgs":false,"family":"Pavelsky","given":"Tamlin","email":"","middleInitial":"M.","affiliations":[{"id":52312,"text":"Department of Geological Sciences, University of North Carolina, Chapel Hill, North Carolina, USA","active":true,"usgs":false}],"preferred":false,"id":860833,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Smith, Laurence C.","contributorId":169004,"corporation":false,"usgs":false,"family":"Smith","given":"Laurence C.","affiliations":[{"id":13022,"text":"Department of Geography, University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":860834,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Schiff, Sherry L.","contributorId":173073,"corporation":false,"usgs":false,"family":"Schiff","given":"Sherry","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":860835,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Butman, David","contributorId":224754,"corporation":false,"usgs":false,"family":"Butman","given":"David","affiliations":[{"id":16962,"text":"U. Washington","active":true,"usgs":false}],"preferred":false,"id":860836,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Spencer, Robert G.M.","contributorId":173304,"corporation":false,"usgs":false,"family":"Spencer","given":"Robert G.M.","affiliations":[{"id":16705,"text":"Woods Hole Research Center","active":true,"usgs":false}],"preferred":false,"id":860837,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70240631,"text":"70240631 - 2023 - Spatial and temporal distribution of sinuous ridges in southeastern Terra Sabaea and the northern region of Hellas Planitia, Mars","interactions":[],"lastModifiedDate":"2023-03-01T17:25:37.201183","indexId":"70240631","displayToPublicDate":"2022-12-16T07:14:28","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal distribution of sinuous ridges in southeastern Terra Sabaea and the northern region of Hellas Planitia, Mars","docAbstract":"<p id=\"sp0065\">Sinuous ridges are an important yet understudied component of Mars' hydrologic history. We have produced a map of sinuous ridges, valleys and channels, and tectonic ridges across southeastern Terra Sabaea and into northern Hellas Planitia (10°-45° S, 35°-80° E) using a CTX mosaic. Although we mapped different types of ridges and negative relief features, the focus of this paper are the sinuous ridges. We present here a new dataset of sinuous ridges that includes basic morphometry (e.g., length, width, sinuosity), morphology, and the types of terrains they are located on. We chose our region of interest because it includes surface ages spanning Mars' geologic history, with emphasis on Noachian and Hesperian terrains. The shift from either a warm and wet or a cold and icy environment to our modern cold and dry climate occurred towards the end of the Noachian and into the Hesperian, a critical temporal window to characterize fluvial landforms.</p><p id=\"sp0070\">Our CTX-based mapping significantly improved the documentation of fluvial landforms within the study region, with over an order of magnitude increase in the number of valley networks and channels, and nearly 1700 sinuous ridges. Sinuous ridges are found in concentrated settings, with the majority (∼80%) located within impact craters and relatively few (∼20%) on the intercrater plains. Fluvial features are prevalent on Early and Middle Noachian-aged terrain but are relatively rare in the Late Noachian, signifying a shift in fluvial activity that likely led to a decrease in channel incision and subsequent inversion of relief. A subset of sinuous ridges—radial ridges in high-elevation, degraded craters— are possible records of ancient proglacial lakes. The youngest sinuous ridges are associated with intracrater alluvial fans in a narrow zone (∼12°S to 30°S and&nbsp;∼&nbsp;62°E to 77°E). These formed in the Late Hesperian into the Amazonian, reflecting a later epoch of punctuated fluvial events driven by pre-existing topography and solar insolation.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2022.115399","usgsCitation":"Gullikson, A.L., Anderson, R.B., and Williams, R.M., 2023, Spatial and temporal distribution of sinuous ridges in southeastern Terra Sabaea and the northern region of Hellas Planitia, Mars: Icarus, v. 394, 115399, 14 p., https://doi.org/10.1016/j.icarus.2022.115399.","productDescription":"115399, 14 p.","ipdsId":"IP-129949","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":445100,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.icarus.2022.115399","text":"Publisher Index Page"},{"id":412941,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Hellas Plantia, Mars, Terra Sabaea","volume":"394","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gullikson, Amber L. 0000-0002-1505-3151","orcid":"https://orcid.org/0000-0002-1505-3151","contributorId":208679,"corporation":false,"usgs":true,"family":"Gullikson","given":"Amber","email":"","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":864024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Ryan B. 0000-0003-4465-2871 rbanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-4465-2871","contributorId":170054,"corporation":false,"usgs":true,"family":"Anderson","given":"Ryan","email":"rbanderson@usgs.gov","middleInitial":"B.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":864025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Rebecca M.E.","contributorId":302332,"corporation":false,"usgs":false,"family":"Williams","given":"Rebecca","email":"","middleInitial":"M.E.","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":864026,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70239220,"text":"70239220 - 2023 - Quantifying connectivity and its effects on sediment budgeting for an agricultural basin, Chesapeake Bay Watershed, United States","interactions":[],"lastModifiedDate":"2023-01-04T12:38:17.863489","indexId":"70239220","displayToPublicDate":"2022-12-14T06:35:51","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying connectivity and its effects on sediment budgeting for an agricultural basin, Chesapeake Bay Watershed, United States","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Excessive sediment runoff as a result of anthropogenic activities is a major concern for watershed ecologic health. This study sought to determine the sources, storage, and delivery of sediment using a sediment budget approach for the predominantly pasture and forested Smith Creek watershed, Virginia United States, a tributary to the Chesapeake Bay. Utilizing a novel combination of the Universal Soil Loss Equation (USLE) model and an index of connectivity along with field surveys of channels, this study indicated that streambanks and pastures were major sources of sediment. Overestimation of fine-grained sediment flux exported from the watershed according to this study's models (3811 Mg/year) compared to export measured at the outlet (2918 Mg/year) most likely indicates underestimation of storage in the watershed from unaccounted for geomorphic features (ponds, toe slopes, and colluvial slopes). Sediment budget results indicating that streambanks are a major source of sediment in the watershed support previous sediment fingerprinting results and provide a framework for managers to address the sediment problem in Smith Creek and similar tributaries to the Chesapeake Bay.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.14777","usgsCitation":"Clifton, Z.J., Gellis, A.C., Cashman, M.J., Katoski, M.P., Nibert, L.A., and Noe, G.E., 2023, Quantifying connectivity and its effects on sediment budgeting for an agricultural basin, Chesapeake Bay Watershed, United States: Hydrological Processes, v. 36, no. 12, e14777, 26 p., https://doi.org/10.1002/hyp.14777.","productDescription":"e14777, 26 p.","ipdsId":"IP-133801","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":435543,"rank":0,"type":{"id":30,"text":"Data 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,{"id":70254728,"text":"70254728 - 2023 - Causes, responses, and implications of anthropogenic versus natural flow intermittence in river networks","interactions":[],"lastModifiedDate":"2024-06-07T16:14:07.532687","indexId":"70254728","displayToPublicDate":"2022-12-07T11:04:57","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Causes, responses, and implications of anthropogenic versus natural flow intermittence in river networks","docAbstract":"<p><span>Rivers that do not flow year-round are the predominant type of running waters on Earth. Despite a burgeoning literature on natural flow intermittence (NFI), knowledge about the hydrological causes and ecological effects of human-induced, anthropogenic flow intermittence (AFI) remains limited. NFI and AFI could generate contrasting hydrological and biological responses in rivers because of distinct underlying causes of drying and evolutionary adaptations of their biota. We first review the causes of AFI and show how different anthropogenic drivers alter the timing, frequency and duration of drying, compared with NFI. Second, we evaluate the possible differences in biodiversity responses, ecological functions, and ecosystem services between NFI and AFI. Last, we outline knowledge gaps and management needs related to AFI. Because of the distinct hydrologic characteristics and ecological impacts of AFI, ignoring the distinction between NFI and AFI could undermine management of intermittent rivers and ephemeral streams and exacerbate risks to the ecosystems and societies downstream.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/biosci/biac098","usgsCitation":"Thibault Datry, Truchy, A., Julian D. Olden, Michelle H. Busch, Rachel Stubbington, Walter K. Dodds, Sam Zipper, Songyan Yu, Mathis L. Messager, Tonkin, J.D., Kaiser, K.E., Hammond, J., Moody, E., Burrows, R., Sarremejane, R., DelVecchia, A., Fork, M.L., Little, C., Walker, R.H., Walters, A.W., and Allen, D., 2023, Causes, responses, and implications of anthropogenic versus natural flow intermittence in river networks: BioScience, v. 73, no. 1, p. 9-22, https://doi.org/10.1093/biosci/biac098.","productDescription":"14 p.","startPage":"9","endPage":"22","ipdsId":"IP-141490","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":445153,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1093/biosci/biac098","text":"External Repository"},{"id":429654,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"73","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-12-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Thibault Datry","contributorId":337346,"corporation":false,"usgs":false,"family":"Thibault Datry","affiliations":[{"id":81018,"text":"INRAE, UR RiverLy","active":true,"usgs":false}],"preferred":false,"id":902366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Truchy, Amelie","contributorId":337347,"corporation":false,"usgs":false,"family":"Truchy","given":"Amelie","email":"","affiliations":[{"id":81018,"text":"INRAE, UR RiverLy","active":true,"usgs":false}],"preferred":false,"id":902367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Julian D. Olden","contributorId":337348,"corporation":false,"usgs":false,"family":"Julian D. Olden","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":902368,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Michelle H. Busch","contributorId":337349,"corporation":false,"usgs":false,"family":"Michelle H. Busch","affiliations":[{"id":7062,"text":"University of Oklahoma","active":true,"usgs":false}],"preferred":false,"id":902369,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rachel Stubbington","contributorId":337350,"corporation":false,"usgs":false,"family":"Rachel Stubbington","affiliations":[{"id":81020,"text":"Nottingham Trent University","active":true,"usgs":false}],"preferred":false,"id":902370,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walter K. Dodds","contributorId":337351,"corporation":false,"usgs":false,"family":"Walter K. 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Messager","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":902374,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Tonkin, Jonathan D.","contributorId":260624,"corporation":false,"usgs":false,"family":"Tonkin","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":902568,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kaiser, Kendra E. 0000-0003-1773-6236","orcid":"https://orcid.org/0000-0003-1773-6236","contributorId":211475,"corporation":false,"usgs":false,"family":"Kaiser","given":"Kendra","email":"","middleInitial":"E.","affiliations":[{"id":38255,"text":"Boise State Unviersity","active":true,"usgs":false}],"preferred":false,"id":902569,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hammond, John C. 0000-0002-4935-0736","orcid":"https://orcid.org/0000-0002-4935-0736","contributorId":223108,"corporation":false,"usgs":true,"family":"Hammond","given":"John C.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":902570,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Moody, E.K.","contributorId":12713,"corporation":false,"usgs":true,"family":"Moody","given":"E.K.","email":"","affiliations":[],"preferred":false,"id":902571,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Burrows, Ryan","contributorId":295995,"corporation":false,"usgs":false,"family":"Burrows","given":"Ryan","affiliations":[{"id":13336,"text":"University of Melbourne","active":true,"usgs":false}],"preferred":false,"id":902572,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Sarremejane, Romain","contributorId":337617,"corporation":false,"usgs":false,"family":"Sarremejane","given":"Romain","email":"","affiliations":[],"preferred":false,"id":902573,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"DelVecchia, Amanda 0000-0003-4252-5991","orcid":"https://orcid.org/0000-0003-4252-5991","contributorId":225165,"corporation":false,"usgs":false,"family":"DelVecchia","given":"Amanda","email":"","affiliations":[{"id":41061,"text":"Flathead Lake Biological Station, University of Montana, Polson, MT 59860","active":true,"usgs":false}],"preferred":false,"id":902574,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Fork, Megan L.","contributorId":139659,"corporation":false,"usgs":false,"family":"Fork","given":"Megan","email":"","middleInitial":"L.","affiliations":[{"id":12868,"text":"Nicholas School of the Environment, Duke University, Durham, NC, USA","active":true,"usgs":false}],"preferred":false,"id":902575,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Little, Chelsea","contributorId":337618,"corporation":false,"usgs":false,"family":"Little","given":"Chelsea","affiliations":[],"preferred":false,"id":902576,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Walker, Richard H 0000-0001-9167-5326","orcid":"https://orcid.org/0000-0001-9167-5326","contributorId":258781,"corporation":false,"usgs":true,"family":"Walker","given":"Richard","email":"","middleInitial":"H","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":902577,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902375,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Allen, Daniel C. 0000-0002-0451-0564","orcid":"https://orcid.org/0000-0002-0451-0564","contributorId":225169,"corporation":false,"usgs":false,"family":"Allen","given":"Daniel","middleInitial":"C.","affiliations":[{"id":41064,"text":"Department of Biology, University of Oklahoma, Norman OK, 73019","active":true,"usgs":false}],"preferred":false,"id":902578,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}}
,{"id":70238758,"text":"70238758 - 2023 - Modeling the dynamic penetration depth of post-1950s water in unconfined aquifers using environmental tracers: Central Valley, California","interactions":[],"lastModifiedDate":"2022-12-07T13:11:33.679909","indexId":"70238758","displayToPublicDate":"2022-12-05T07:09:26","publicationYear":"2023","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":"Modeling the dynamic penetration depth of post-1950s water in unconfined aquifers using environmental tracers: Central Valley, California","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\"><div id=\"as010\"><p id=\"sp0010\">The penetration depth of post-1950s recharge (D-1950) in aquifers is a marker that is frequently used to identify groundwater that is susceptible to anthropogenic contamination. Here, we compute D-1950 values at wells, interpolate them in space, and project them across time to map the moving front of modern recharge in four dimensions in the Central Valley aquifer system, California, USA. Tracers of groundwater age (tritium, carbon-14, noble gases, sulfur hexafluoride, and chlorofluorocarbons) were collected at 650 wells spatially distributed throughout the Central Valley and were fit to a lumped-parameter model that assumes a logarithmic age-depth profile in the aquifer. For samples where tritium was present (&gt;0.3 tritium units), the model was used to predict D-1950 at wells screened above or across the modern-premodern interface (n&nbsp;=&nbsp;484). Wells with samples where tritium was absent (≤0.3 tritium units) were used to define the depth beyond which groundwater is completely premodern (n&nbsp;=&nbsp;166). Predicted D-1950 values were below the depth of screen bottoms for wells where groundwater is completely modern, and above the depth of screen tops for wells where groundwater is completely premodern. The interpolated surface of D-1950 is dynamic, less prone to extreme values, and produces maps with lower interpolation errors due to a higher spatial density of wells than maps based on the depth of premodern groundwater. Between 2005 and 2025, D-1950 is expected to deepen by 11 and 12&nbsp;m in the northern and southern parts of the Central Valley, respectively. Areas where D-1950 increases rapidly are likely to see increases in nitrate and other anthropogenic contaminants associated with the downward moving front of modern water.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2022.128818","usgsCitation":"Faulkner, K., Jurgens, B., Voss, S., Dupuy, D., and Levy, Z., 2023, Modeling the dynamic penetration depth of post-1950s water in unconfined aquifers using environmental tracers: Central Valley, California: Journal of Hydrology, v. 616, 128818, 14 p., https://doi.org/10.1016/j.jhydrol.2022.128818.","productDescription":"128818, 14 p.","ipdsId":"IP-130865","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":435552,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MA4MBP","text":"USGS data release","linkHelpText":"Central Valley Aquifer Age Dating Web Tool"},{"id":435551,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CL07RX","text":"USGS data release","linkHelpText":"Data for assessing the penetration depth post-1950s water in the Central Valley aquifer system, California (July 2022)"},{"id":410157,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.8909609860649,\n              40.725785462097406\n            ],\n            [\n              -123.12090740207057,\n              41.057846544130285\n            ],\n            [\n              -122.81342079806942,\n              39.65201564752738\n            ],\n            [\n              -122.02274095920826,\n              37.69748533018377\n            ],\n            [\n              -120.74886788548812,\n              35.654353146053566\n            ],\n            [\n              -118.72824163062074,\n              34.54025513434168\n            ],\n            [\n              -117.67400184547287,\n              35.43991112996163\n            ],\n            [\n              -120.35352796605754,\n              38.389359440096\n            ],\n            [\n              -121.8909609860649,\n              40.725785462097406\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"616","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Faulkner, Kirsten E. 0000-0003-1628-2877","orcid":"https://orcid.org/0000-0003-1628-2877","contributorId":222341,"corporation":false,"usgs":true,"family":"Faulkner","given":"Kirsten","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":858488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jurgens, Bryant C. 0000-0002-1572-113X","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":203430,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant","middleInitial":"C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":858489,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Voss, Stefan 0000-0003-1214-9358","orcid":"https://orcid.org/0000-0003-1214-9358","contributorId":217888,"corporation":false,"usgs":true,"family":"Voss","given":"Stefan","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":858490,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dupuy, Danielle 0000-0001-9007-641X","orcid":"https://orcid.org/0000-0001-9007-641X","contributorId":222277,"corporation":false,"usgs":true,"family":"Dupuy","given":"Danielle","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":858491,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Levy, Zeno F. 0000-0003-4580-2309","orcid":"https://orcid.org/0000-0003-4580-2309","contributorId":222340,"corporation":false,"usgs":true,"family":"Levy","given":"Zeno","middleInitial":"F.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":858492,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70238826,"text":"70238826 - 2023 - Learning from arid and urban aquatic ecosystems to inform more sustainable and resilient futures","interactions":[],"lastModifiedDate":"2022-12-13T12:52:49.994084","indexId":"70238826","displayToPublicDate":"2022-12-02T06:50:49","publicationYear":"2023","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":"Learning from arid and urban aquatic ecosystems to inform more sustainable and resilient futures","docAbstract":"<div id=\"ab015\" class=\"abstract author\"><div id=\"as015\"><p id=\"sp0015\">The hydrology and aquatic ecology of arid environments has long been understudied relative to temperate regions. Yet spatially and temporally intermittent and ephemeral waters characterized by flashy hydrographs typify arid regions that comprise a substantial proportion of the Earth. Additionally, drought, intense storms, and human modification of landscapes increasingly affect many temperate regions, resulting in hydrologic regimes more similar to aridlands. Here we review the contributions of Dr. Nancy Grimm to aridland hydrology and ecology, and applications of these insights to urban ecosystems and resilience of social-ecological-technological systems. Grimm catalyzed study of nitrogen cycling in streams and characterized feedbacks between surface water-groundwater exchange, nitrogen transformations, and aquatic biota. In aridlands, outcomes of these interactions depend on short- and long-term variation in the hydrologic regime. Grimm and colleagues applied hydrological and biogeochemical insights gained from study of aridland streams to urban ecosystems, integrating engineering, social and behavioral sciences, and geography. These studies evolved from characterizing the spatial heterogeneity of urban systems (i.e., watersheds, novel aquatic systems) and its influence on nutrient dynamics to an approach that evaluated human decision-making as a driver of disturbance regimes and changes in ecosystem function. Finally, Grimm and colleagues have applied principles of urban ecology to look toward the future of cities, considering scenarios of sustainable and resilient futures. We identify cross-cutting themes and approaches that have motivated discoveries across Grimm’s multi-decadal career, including spatial and temporal heterogeneity, hydrologic connectivity and regime, disturbance, systems thinking, and resilience. Finally, we emphasize Grimm’s broad contributions to science via support of long-term research, dedication to mentoring, and extensive collaborations that facilitated transdisciplinary research.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2022.128841","usgsCitation":"McPhillips, L., Berbes-Blazquez, M., Hale, R., Harms, T., Bisht, V., Caughman, L., Clinton, S., Cook, E., Dong, X., Edmonds, J., Gergel, S., Gomez, R., Hopkins, K.G., Iwaniec, D., Kim, Y., Kuhn, A., Larson, L., Lewis, D., Marti, E., Palta, M.M., Roach, W.J., and Ye, L., 2023, Learning from arid and urban aquatic ecosystems to inform more sustainable and resilient futures: Journal of Hydrology, v. 616, 128841, 13 p., https://doi.org/10.1016/j.jhydrol.2022.128841.","productDescription":"128841, 13 p.","ipdsId":"IP-145383","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":445177,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2022.128841","text":"Publisher Index Page"},{"id":410355,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"616","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McPhillips, Lauren","contributorId":270777,"corporation":false,"usgs":false,"family":"McPhillips","given":"Lauren","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":858804,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berbes-Blazquez, Marta","contributorId":299828,"corporation":false,"usgs":false,"family":"Berbes-Blazquez","given":"Marta","email":"","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":858805,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hale, Rebecca 0000-0002-3552-3691","orcid":"https://orcid.org/0000-0002-3552-3691","contributorId":195753,"corporation":false,"usgs":false,"family":"Hale","given":"Rebecca","email":"","affiliations":[{"id":12865,"text":"Smithsonian Institute","active":true,"usgs":false}],"preferred":false,"id":858806,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harms, Tamara K","contributorId":217764,"corporation":false,"usgs":false,"family":"Harms","given":"Tamara K","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":858807,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bisht, Vanya","contributorId":299829,"corporation":false,"usgs":false,"family":"Bisht","given":"Vanya","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":858808,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Caughman, Lilana","contributorId":299830,"corporation":false,"usgs":false,"family":"Caughman","given":"Lilana","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":858809,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Clinton, Sandra","contributorId":299831,"corporation":false,"usgs":false,"family":"Clinton","given":"Sandra","email":"","affiliations":[{"id":36866,"text":"University of North Carolina Charlotte","active":true,"usgs":false}],"preferred":false,"id":858810,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cook, Elizabeth","contributorId":299832,"corporation":false,"usgs":false,"family":"Cook","given":"Elizabeth","email":"","affiliations":[{"id":64959,"text":"Barnard College-Columbia University","active":true,"usgs":false}],"preferred":false,"id":858811,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dong, Xiaoli","contributorId":299833,"corporation":false,"usgs":false,"family":"Dong","given":"Xiaoli","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":858812,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Edmonds, Jennifer","contributorId":299834,"corporation":false,"usgs":false,"family":"Edmonds","given":"Jennifer","email":"","affiliations":[{"id":24777,"text":"Nevada State College","active":true,"usgs":false}],"preferred":false,"id":858813,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gergel, Sarah","contributorId":299835,"corporation":false,"usgs":false,"family":"Gergel","given":"Sarah","email":"","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":858814,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Gomez, Rosa","contributorId":299836,"corporation":false,"usgs":false,"family":"Gomez","given":"Rosa","email":"","affiliations":[{"id":47555,"text":"University of Murcia","active":true,"usgs":false}],"preferred":false,"id":858815,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hopkins, Kristina G. 0000-0003-1699-9384 khopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1699-9384","contributorId":195604,"corporation":false,"usgs":true,"family":"Hopkins","given":"Kristina","email":"khopkins@usgs.gov","middleInitial":"G.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":858816,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Iwaniec, David","contributorId":299837,"corporation":false,"usgs":false,"family":"Iwaniec","given":"David","email":"","affiliations":[{"id":52554,"text":"Georgia State University","active":true,"usgs":false}],"preferred":false,"id":858817,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Kim, Yeowon","contributorId":299838,"corporation":false,"usgs":false,"family":"Kim","given":"Yeowon","email":"","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":858818,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Kuhn, Amanda","contributorId":299839,"corporation":false,"usgs":false,"family":"Kuhn","given":"Amanda","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":858819,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Larson, Libby","contributorId":299840,"corporation":false,"usgs":false,"family":"Larson","given":"Libby","email":"","affiliations":[{"id":64960,"text":"NASA Goddard Space Flight Center/SSAI","active":true,"usgs":false}],"preferred":false,"id":858820,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Lewis, David Bruce","contributorId":156433,"corporation":false,"usgs":false,"family":"Lewis","given":"David Bruce","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":858821,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Marti, Eugenia","contributorId":299842,"corporation":false,"usgs":false,"family":"Marti","given":"Eugenia","email":"","affiliations":[{"id":64961,"text":"Centre d’Estudis Avançats de Blanes","active":true,"usgs":false}],"preferred":false,"id":858822,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Palta, Monica M.","contributorId":221680,"corporation":false,"usgs":false,"family":"Palta","given":"Monica","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":858823,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Roach, W. John","contributorId":299845,"corporation":false,"usgs":false,"family":"Roach","given":"W.","email":"","middleInitial":"John","affiliations":[{"id":64962,"text":"SimBio","active":true,"usgs":false}],"preferred":false,"id":858824,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Ye, Lin","contributorId":299848,"corporation":false,"usgs":false,"family":"Ye","given":"Lin","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":858825,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}}
,{"id":70256608,"text":"70256608 - 2023 - Can spatial food web subsidies associated with river hydrology and lateral connectivity be detected using stable isotopes?","interactions":[],"lastModifiedDate":"2024-08-26T15:56:50.395757","indexId":"70256608","displayToPublicDate":"2022-12-01T10:39:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5453,"text":"Food Webs","active":true,"publicationSubtype":{"id":10}},"title":"Can spatial food web subsidies associated with river hydrology and lateral connectivity be detected using stable isotopes?","docAbstract":"<p><span>During and following lateral connections,&nbsp;aquatic organisms&nbsp;residing in the river channel may assimilate material from sources imported from oxbows, and oxbow residents may consume and assimilate material imported from the channel. Hydrology, lateral connectivity, and&nbsp;stable isotope&nbsp;ratios of fishes and mussels were analyzed for evidence of spatial food web subsidies between the active channel and&nbsp;oxbow lakes&nbsp;in the&nbsp;floodplain&nbsp;of the Guadalupe River, Texas. During surveys conducted between March 2016 and April 2017, fish, mussel, periphyton,&nbsp;seston, and riparian plant samples were collected in and around two oxbows and adjacent channel sites for analysis of&nbsp;stable isotope&nbsp;ratios. Biplots of δ</span><sup>13</sup><span>C and δ</span><sup>15</sup><span>N were graphed for basal sources and specimens of six common fish species, four&nbsp;sunfish&nbsp;species (</span><span>Lepomis<i>&nbsp;spp.</i></span><span>&nbsp;combined), and two mussel species (Unionidae combined) captured from oxbows and the channel. Within each graph, polygons were drawn to indicate the space occupied by animals that could have assimilated feasible combinations of source materials originating from either oxbows or the river channel. Based on positions of animals within source polygons, riparian C4 grasses were not an important source of organic matter supporting biomass of fishes and mussels within the channel or oxbows. Overall, 84% of organisms had isotopic signatures consistent with assimilation of&nbsp;</span><i>in situ</i><span>&nbsp;sources, but also 76% of all organisms were inconclusive with regards to cross-habitat exchanges. Outliers that may have assimilated&nbsp;</span><i>ex situ</i><span>&nbsp;source material were observed for only 4% of 313 organisms from oxbows and 9% of 232 organisms from the channel, and some but not all of these cases followed high flow pulses that connected oxbows for extended periods. Several issues that compromise inferences from stable isotope analysis were identified, and estimation of spatial food web subsidies in fluvial systems could be enhanced by analyzing additional biomarkers, such as&nbsp;isotopic ratios&nbsp;of other elements and compound-specific stable isotopes, as well as additional sources, time-specific biotracers, and experimental approaches that directly track movement of sources and organisms in spatially structured food webs.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.fooweb.2022.e00264","usgsCitation":"Winemiller, K.O., Andrade, M.C., Arantes, C.C., Bokhutlo, T., Bower, L.M., Cunha, E.R., Keppeler, F.W., Lopez-Delgado, E.O., Quintana, Y., Saenz, D.E., Mayes, K.B., and Robertson, C.R., 2023, Can spatial food web subsidies associated with river hydrology and lateral connectivity be detected using stable isotopes?: Food Webs, v. 34, e00264, 18 p., https://doi.org/10.1016/j.fooweb.2022.e00264.","productDescription":"e00264, 18 p.","ipdsId":"IP-142927","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":433159,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Guadalupe River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -97.5,\n              29.5\n            ],\n            [\n              -97.5,\n              28.5\n            ],\n            [\n              -96.75,\n              28.5\n            ],\n            [\n              -96.75,\n              29.5\n            ],\n            [\n              -97.5,\n              29.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"34","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Winemiller, Kirk O.","contributorId":265134,"corporation":false,"usgs":false,"family":"Winemiller","given":"Kirk","email":"","middleInitial":"O.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":908277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andrade, Marcelo C.","contributorId":341348,"corporation":false,"usgs":false,"family":"Andrade","given":"Marcelo","email":"","middleInitial":"C.","affiliations":[{"id":41700,"text":"Universidade Federal do Pará","active":true,"usgs":false}],"preferred":false,"id":908278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arantes, Caroline C.","contributorId":169463,"corporation":false,"usgs":false,"family":"Arantes","given":"Caroline","email":"","middleInitial":"C.","affiliations":[{"id":13321,"text":"Texas A & M University","active":true,"usgs":false}],"preferred":false,"id":908279,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bokhutlo, Thethela","contributorId":341350,"corporation":false,"usgs":false,"family":"Bokhutlo","given":"Thethela","email":"","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":908281,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bower, Luke Max 0000-0002-0739-858X","orcid":"https://orcid.org/0000-0002-0739-858X","contributorId":341034,"corporation":false,"usgs":true,"family":"Bower","given":"Luke","email":"","middleInitial":"Max","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908280,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cunha, Eduardo R.","contributorId":341351,"corporation":false,"usgs":false,"family":"Cunha","given":"Eduardo","email":"","middleInitial":"R.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":908282,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Keppeler, Friedrich W.","contributorId":341352,"corporation":false,"usgs":false,"family":"Keppeler","given":"Friedrich","email":"","middleInitial":"W.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":908283,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lopez-Delgado, Edwin O.","contributorId":341353,"corporation":false,"usgs":false,"family":"Lopez-Delgado","given":"Edwin","email":"","middleInitial":"O.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":908284,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Quintana, Yasmin","contributorId":341354,"corporation":false,"usgs":false,"family":"Quintana","given":"Yasmin","email":"","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":908285,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Saenz, David E.","contributorId":341355,"corporation":false,"usgs":false,"family":"Saenz","given":"David","email":"","middleInitial":"E.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":908286,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mayes, Kevin B.","contributorId":341356,"corporation":false,"usgs":false,"family":"Mayes","given":"Kevin","email":"","middleInitial":"B.","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":908287,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Robertson, Clint R.","contributorId":341357,"corporation":false,"usgs":false,"family":"Robertson","given":"Clint","email":"","middleInitial":"R.","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":908288,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70254592,"text":"70254592 - 2023 - The Far-Field imprint of the late Paleozoic Ice Age, its demise, and the onset of a dust-house climate across the Eastern Shelf of the Midland Basin, Texas","interactions":[],"lastModifiedDate":"2024-06-04T11:38:15.455109","indexId":"70254592","displayToPublicDate":"2022-11-25T06:35:21","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1848,"text":"Gondwana Research","active":true,"publicationSubtype":{"id":10}},"title":"The Far-Field imprint of the late Paleozoic Ice Age, its demise, and the onset of a dust-house climate across the Eastern Shelf of the Midland Basin, Texas","docAbstract":"<div id=\"ab015\" class=\"abstract author\"><div id=\"as015\"><p id=\"sp0015\">The late Paleozoic is a period of pronounced climatic and tectonic change, characterized by the onset and disappearance of continental-scale glaciers across polar Gondwana, the formation of Pangea, and widespread large igneous province volcanism. The low-latitude equatorial tropics are assumed to be places of persistent warm and wet climatic conditions throughout the Phanerozoic, which through intense silicate weathering, exert a major influence on Earth’s climate via the consumption of atmospheric carbon through carbonic hydrolytic weathering, formation of clay minerals and deliverability of alkalinity to ocean basins. Here we investigate the late Paleozoic sedimentary record of the Eastern Shelf of the Midland Basin in order to refine the climatic and provenance record of this region. The Eastern Shelf of the Midland Basin was situated within the equatorial tropics throughout the late Paleozoic and was connected to the open ocean through a network of fluvial systems that drained into the marine Midland Basin. We present new U-Pb zircon geochronology (19 samples, 2591 analyses) and sedimentary petrography (11 samples, 5800 grain counts), which we integrate with previously published paleobotany, paleosol chemistry and clay mineralogy to provide a holistic climate and tectonic record from this region. We observe major changes in sedimentary processes that we attribute to the formation of Pangea, eustatic changes linked to a dynamic high-latitude glaciation and teleconnections with low latitude hydrology, and a long-term shift in the Earth climate system all of which result in a dynamic sediment provenance history. Late Pennsylvanian and earliest Permian deposits are enriched in zircons with local affinity and interpreted to reflect local uplift and repeat incision across the basin margin, the latter a result of glacioeustatic forcing during an “everwet” climate. A major paleoenvironmental shift occurs in the late early Permian, which is reflected by the transition from fluvial to mixed fluvial-aeolian and ultimately aeolian dominant sedimentation by the late Permian. The transition from fluvial to aeolian dominant sedimentation is accompanied by a change in clay chemistry, sedimentary rock textual maturity, paleosol morphology and a threefold increase in Paleozoic zircons in the mid to late Permian strata. Widespread loess deposits across equatorial Pangea during the Permian have been used to argue for the possibility of equatorial glaciers situated in highland settings during the early Permian. Conversely, our data suggest initiation of a substantial component of aeolian deposition across the field areas, which is coincident with widespread ice loss across high latitude Gondwana, and ultimately highlights the teleconnections between high latitude glaciation and the low latitude hydrologic cycle.</p></div></div><div id=\"ab005\" class=\"abstract graphical\" lang=\"en\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gr.2022.11.004","usgsCitation":"Griffis, N.P., Tabor, N., Stockli, D., and Stockli, L., 2023, The Far-Field imprint of the late Paleozoic Ice Age, its demise, and the onset of a dust-house climate across the Eastern Shelf of the Midland Basin, Texas: Gondwana Research, v. 115, p. 17-36, https://doi.org/10.1016/j.gr.2022.11.004.","productDescription":"20 p.","startPage":"17","endPage":"36","ipdsId":"IP-140504","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":445206,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gr.2022.11.004","text":"Publisher Index Page"},{"id":429491,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Midland Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -108.1009038432658,\n              37.54785246377509\n            ],\n            [\n              -108.1009038432658,\n              28.65565552971603\n            ],\n            [\n              -97.46613821826628,\n              28.65565552971603\n            ],\n            [\n              -97.46613821826628,\n              37.54785246377509\n            ],\n            [\n              -108.1009038432658,\n              37.54785246377509\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"115","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Griffis, Neil Patrick 0000-0002-2506-7549","orcid":"https://orcid.org/0000-0002-2506-7549","contributorId":330218,"corporation":false,"usgs":true,"family":"Griffis","given":"Neil","email":"","middleInitial":"Patrick","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":902041,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tabor, Neil","contributorId":337120,"corporation":false,"usgs":false,"family":"Tabor","given":"Neil","email":"","affiliations":[{"id":20300,"text":"Southern Methodist University","active":true,"usgs":false}],"preferred":false,"id":902042,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockli, Daniel","contributorId":337121,"corporation":false,"usgs":false,"family":"Stockli","given":"Daniel","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":902043,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stockli, Lisa","contributorId":337122,"corporation":false,"usgs":false,"family":"Stockli","given":"Lisa","email":"","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":902044,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70238998,"text":"70238998 - 2023 - The hydroclimate niche: A tool for predicting and managing riparian plant community responses to streamflow seasonality","interactions":[],"lastModifiedDate":"2023-01-18T17:25:49.209861","indexId":"70238998","displayToPublicDate":"2022-11-03T06:51:03","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"The hydroclimate niche: A tool for predicting and managing riparian plant community responses to streamflow seasonality","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Habitat suitability is a consequence of interacting environmental factors. In riparian ecosystems, suitable plant habitat is influenced by interactions between stream hydrology and climate, hereafter referred to as “hydroclimate”. We tested the hypothesis that hydroclimate variables would improve the fit of ecological niche models for a suite of riparian species using occurrence data from the western United States. We focus on the climate conditions (temperature, precipitation and vapor pressure deficit) during the months of lowest and highest streamflow as integrative hydroclimate metrics of resource and stress levels. We found that the inclusion of hydroclimate variables improved model fit for all species in the western USA dataset. We then tested the utility of the improved habitat suitability models by projecting them onto a regulated segment of the Colorado River to assess potential impacts of streamflow seasonality on vegetation metrics of management concern. Species frequency derived from independent survey data in the Colorado River segment was significantly higher for species with predicted suitable habitat than for species without predicted suitable habitat. Under different simulated hydrographs for the Colorado River, overall species richness was predicted to be greatest with peak streamflows during summer, and native-to-non-native species ratios were predicted to be greatest with lowest streamflows in winter. Summer high flows were particularly associated with higher predicted habitat suitability for species that have increased in cover over recent decades (e.g.,<span>&nbsp;</span><i>Pluchea sericea, Baccharis</i><span>&nbsp;</span>species). We conclude that hydroclimate covariates can be useful tools for predicting how riparian vegetation communities respond to changes in the seasonal timing of low and high streamflows.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/rra.4067","usgsCitation":"Butterfield, B.J., Palmquist, E.C., and Yackulic, C., 2023, The hydroclimate niche: A tool for predicting and managing riparian plant community responses to streamflow seasonality: River Research and Applications, v. 39, no. 1, p. 84-94, https://doi.org/10.1002/rra.4067.","productDescription":"11 p.","startPage":"84","endPage":"94","ipdsId":"IP-141363","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":410782,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-11-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":859632,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palmquist, Emily C. 0000-0003-1069-2154 epalmquist@usgs.gov","orcid":"https://orcid.org/0000-0003-1069-2154","contributorId":5669,"corporation":false,"usgs":true,"family":"Palmquist","given":"Emily","email":"epalmquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":859633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":859634,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70238046,"text":"70238046 - 2023 - Predicted uranium and radon concentrations in New Hampshire (USA) groundwater—Using Multi Order Hydrologic Position as predictors","interactions":[],"lastModifiedDate":"2023-02-02T17:18:29.966891","indexId":"70238046","displayToPublicDate":"2022-11-03T06:37:05","publicationYear":"2023","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":"Predicted uranium and radon concentrations in New Hampshire (USA) groundwater—Using Multi Order Hydrologic Position as predictors","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Two radioactive elements, uranium (U) and radon (Rn), which are of potential concern in New Hampshire (NH) groundwater, are investigated. Exceedance probability maps are tools to highlight locations where the concentrations of undesirable substances in the groundwater may be elevated. Two forms of statistical analysis are used to create exceedance probability maps for U and Rn in NH groundwater. The first, Boosted Regression Tree (BRT), was selected for estimating U exceedance values. It computes exceedance values directly using the Bernoulli distribution function. The second method of statistical analysis used for Rn to determine exceedance probabilities is ordinary least squares (OLS) regression. In the process of determining exceedance probabilities for U and Rn, the utility of a new dataset is investigated. That new predictor dataset is the Multi-Order Hydrologic Position (MOHP) dataset. MOHP raster datasets have been produced nationally for the conterminous United States at a 30-m resolution. The concept behind MOHP is that, for any given point on the earth's surface, there is the potential for a longer groundwater flow path as one goes deeper beneath the land surface. MOHP predictors were tested in both models. Three MOHP predictors were found useful in the BRT model and two in the OLS model. MOHP data were found useful as predictors along with other site characteristics in predicting U and Rn exceedance probabilities in New Hampshire groundwater.</p></div></div>","language":"English","publisher":"American Water Resources Association","doi":"10.1111/1752-1688.13075","usgsCitation":"Moore, R.B., Belitz, K., Ayotte, J.D., Arnold, T.L., Hayes, L., Sharpe, J.B., and Starn, J., 2023, Predicted uranium and radon concentrations in New Hampshire (USA) groundwater—Using Multi Order Hydrologic Position as predictors: Journal of the American Water Resources Association, v. 59, no. 1, p. 127-145, https://doi.org/10.1111/1752-1688.13075.","productDescription":"19 p.","startPage":"127","endPage":"145","ipdsId":"IP-130144","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":445302,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.13075","text":"Publisher Index Page"},{"id":409187,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New 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