{"pageNumber":"294","pageRowStart":"7325","pageSize":"25","recordCount":184757,"records":[{"id":70241179,"text":"70241179 - 2023 - A call for strategic water-quality monitoring to advance assessment and prediction of wildfire impacts on water supplies","interactions":[],"lastModifiedDate":"2023-03-16T15:08:56.24279","indexId":"70241179","displayToPublicDate":"2023-03-13T06:50:17","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7170,"text":"Frontiers in Water","active":true,"publicationSubtype":{"id":10}},"title":"A call for strategic water-quality monitoring to advance assessment and prediction of wildfire impacts on water supplies","docAbstract":"

Wildfires pose a risk to water supplies in the western U.S. and many other parts of the world, due to the potential for degradation of water quality. However, a lack of adequate data hinders prediction and assessment of post-wildfire impacts and recovery. The dearth of such data is related to lack of funding for monitoring extreme events and the challenge of measuring the outsized hydrologic and erosive response after wildfire. Assessment and prediction of post-wildfire surface water quality would be strengthened by the strategic monitoring of key parameters, and the selection of sampling locations based on the following criteria: (1) streamgage with pre-wildfire data; (2) ability to install equipment that can measure water quality at high temporal resolution, with a focus on storm sampling; (3) minimum of 10% drainage area burned at moderate to high severity; (4) lack of major water management; (5) high-frequency precipitation; and (6) availability of pre-wildfire water-quality data and (or) water-quality data from a comparable unburned basin. Water-quality data focused on parameters that are critical to human and (or) ecosystem health, relevant to water-treatment processes and drinking-water quality, and (or) inform the role of precipitation and discharge on flow paths and water quality are most useful. We discuss strategic post-wildfire water-quality monitoring and identify opportunities for advancing assessment and prediction. Improved estimates of the magnitude, timing, and duration of post-wildfire effects on water quality would aid the water resources community prepare for and mitigate against impacts to water supplies.

","language":"English","publisher":"Frontiers Media","doi":"10.3389/frwa.2023.1144225","usgsCitation":"Murphy, S.F., Alpers, C.N., Anderson, C.W., Banta, J.R., Blake, J., Carpenter, K.D., Clark, G.D., Clow, D.W., Hempel, L.A., Martin, D., Meador, M.R., Mendez, G., Mueller-Solger, A., Stewart, M.A., Payne, S.E., Peterman-Phipps, C.L., and Ebel, B., 2023, A call for strategic water-quality monitoring to advance assessment and prediction of wildfire impacts on water supplies: Frontiers in Water, v. 5, 1144225, 9 p., https://doi.org/10.3389/frwa.2023.1144225.","productDescription":"1144225, 9 p.","ipdsId":"IP-147614","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":444230,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/frwa.2023.1144225","text":"Publisher Index Page"},{"id":414084,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","noUsgsAuthors":false,"publicationDate":"2023-03-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":866351,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866352,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Chauncey W. 0000-0002-1016-3781 chauncey@usgs.gov","orcid":"https://orcid.org/0000-0002-1016-3781","contributorId":140160,"corporation":false,"usgs":true,"family":"Anderson","given":"Chauncey","email":"chauncey@usgs.gov","middleInitial":"W.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866353,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Banta, John R. 0000-0002-2226-7270","orcid":"https://orcid.org/0000-0002-2226-7270","contributorId":222710,"corporation":false,"usgs":true,"family":"Banta","given":"John","email":"","middleInitial":"R.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866354,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blake, Johanna 0000-0003-4667-0096","orcid":"https://orcid.org/0000-0003-4667-0096","contributorId":217272,"corporation":false,"usgs":true,"family":"Blake","given":"Johanna","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866355,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carpenter, Kurt D. 0000-0002-6231-8335 kdcar@usgs.gov","orcid":"https://orcid.org/0000-0002-6231-8335","contributorId":127442,"corporation":false,"usgs":true,"family":"Carpenter","given":"Kurt","email":"kdcar@usgs.gov","middleInitial":"D.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866356,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Clark, Gregory D. 0000-0003-0066-8193 gmclark@usgs.gov","orcid":"https://orcid.org/0000-0003-0066-8193","contributorId":224364,"corporation":false,"usgs":true,"family":"Clark","given":"Gregory","email":"gmclark@usgs.gov","middleInitial":"D.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866357,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866358,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hempel, Laura A. 0000-0001-5020-6056","orcid":"https://orcid.org/0000-0001-5020-6056","contributorId":224286,"corporation":false,"usgs":true,"family":"Hempel","given":"Laura","email":"","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866359,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Martin, Deborah A. 0000-0001-8237-0838","orcid":"https://orcid.org/0000-0001-8237-0838","contributorId":244709,"corporation":false,"usgs":true,"family":"Martin","given":"Deborah A.","affiliations":[{"id":37277,"text":"WMA - 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Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":866367,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70240675,"text":"70240675 - 2023 - Exploring effects of vessels on walrus behaviors using telemetry, automatic identification system data and matching","interactions":[],"lastModifiedDate":"2024-09-18T16:08:26.706094","indexId":"70240675","displayToPublicDate":"2023-03-13T06:41:44","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":"Exploring effects of vessels on walrus behaviors using telemetry, automatic identification system data and matching","docAbstract":"

Arctic marine mammals have had little exposure to vessel traffic and potential associated disturbance, but sea ice loss has increased accessibility of Arctic waters to vessels. Vessel disturbance could influence marine mammal population dynamics by altering behavioral activity budgets that affect energy balance, which in turn can affect birth and death rates. As an initial step in studying these linkages, we conducted the first comprehensive analysis to evaluate the effects of vessel exposure on Pacific walrus (Odobenus rosmarus divergens) behaviors. We obtained >120,000 h of location and behavior (foraging, in-water not foraging, and hauled out) data from 218 satellite-tagged walruses and linked them to vessel locations from the marine automatic identification system (AIS). This yielded 206 vessel-exposed walrus telemetry hours for comparison to unexposed hours, which we used to assess if vessel exposure altered walrus behavior. We developed a filter to account for misclassification of vessel exposure of telemetered walruses. Then we tested for an effect of vessel exposure on walrus behaviors using a combination of exact and propensity score-based matching to account for confounding covariates, and we conducted statistical power analyses. We did not detect an effect of vessel exposure on walrus behaviors even when statistical power was high (i.e., for foraging walruses), which may have been due to the sample size-driven need to define vessel presence within a larger than desired distance (15-km measured radius) around a walrus. Although this study did not determine at what distance vessel exposure affects walrus behaviors, it provided an upper bound on the distance at which the vessels encountered may disturb foraging walruses. When more situation-specific information is lacking, this distance could be used as a conservative buffer to maintain between vessels and areas of high use by foraging walruses. Studies on behavioral consequences of closer proximities between walruses and vessels are needed, and our assessments of misclassification rates and statistical power can be used for future studies. We demonstrated that analytical approaches such as matching, which are rarely used in wildlife studies, are particularly useful for testing hypotheses with observational data.

","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.4433","usgsCitation":"Taylor, R.L., Jay, C.V., Beatty, W., Fischbach, A.S., Quakenbush, L.T., and Crawford, J.A., 2023, Exploring effects of vessels on walrus behaviors using telemetry, automatic identification system data and matching: Ecosphere, v. 14, no. 3, e4433, 16 p., https://doi.org/10.1002/ecs2.4433.","productDescription":"e4433, 16 p.","ipdsId":"IP-122838","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":444233,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4433","text":"Publisher Index Page"},{"id":435414,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9IO8AZJ","text":"USGS data release","linkHelpText":"Walrus Haulout and In-water Activity Levels Relative to Vessel Interactions in the Chukchi Sea, 2012-2015"},{"id":413040,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia, United States","state":"Alaska","otherGeospatial":"Chukchi Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -170.32245819085716,\n 66.05513807898694\n ],\n [\n -169.7201609109013,\n 65.81337853498471\n ],\n [\n -163.44646744670234,\n 67.26413622283681\n ],\n [\n -163.48928051808477,\n 67.77761301095038\n ],\n [\n -165.89517336815703,\n 68.50009214376516\n ],\n [\n -165.8497260252095,\n 68.66729130495727\n ],\n [\n -163.80598521715572,\n 68.81337251177467\n ],\n [\n -162.7412289106771,\n 69.22689570748591\n ],\n [\n -162.42602442536432,\n 69.65754636971394\n ],\n [\n -161.76725890958286,\n 69.98451068064082\n ],\n [\n -159.03175166715397,\n 70.56710759229969\n ],\n [\n -156.4162777380868,\n 70.98318711582823\n 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reporting","interactions":[],"lastModifiedDate":"2023-04-03T16:43:31.13652","indexId":"tm1D11","displayToPublicDate":"2023-03-13T00:00:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1-D11","displayTitle":"Field Techniques for Fluorescence Measurements Targeting Dissolved Organic Matter, Hydrocarbons, and Wastewater in Environmental Waters: Principles and Guidelines for Instrument Selection, Operation and Maintenance, Quality Assurance, and Data Reporting","title":"Field techniques for fluorescence measurements targeting dissolved organic matter, hydrocarbons, and wastewater in environmental waters: Principles and guidelines for instrument selection, operation and maintenance, quality assurance, and data 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The use of field deployable fluorescence sensors by the U.S. Geological Survey has become increasingly common for a wide variety of surface water and groundwater investigations. This report addresses field deployable fluorometers that measure the fluorescence response of various substances in water exposed to incident light generated by the sensor. An introduction to the basic principles of field measurements of fluorescence is provided, as well as technical background information on sensors that target dissolved organic matter, wastewater, and hydrocarbons, including sensor selection, operating principles, key features, and design elements. General deployment, operation and maintenance protocols, quality-assurance techniques, and suggestions for data reporting are presented to facilitate and standardize the collection and accurate communication of data collected by the U.S. Geological Survey across studies, sites, and sensor types. Sensor performance issues and common interferences are also described. An appendix is included to describe sensor calibration criteria and procedures, reporting units, and specific approaches to correct for interferences for fluorescence of dissolved organic matter sensors.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm1D11","usgsCitation":"Booth, A., Fleck, J., Pellerin, B.A., Hansen, A., Etheridge, A., Foster, G.M., Graham, J.L., Bergamaschi, B.A., Carpenter, K.D., Downing, B.D., Rounds, S.A., and Saraceno, J., 2023, Field techniques for fluorescence measurements targeting dissolved organic matter, hydrocarbons, and wastewater in environmental waters: Principles and guidelines for instrument selection, operation and maintenance, quality assurance, and data reporting: U.S. Geological Survey Techniques and Methods, book 1, chap. D11, 41 p., https://doi.org/10.3133/tm1D11.","productDescription":"Report: vi, 41 p.; Data Release","numberOfPages":"52","onlineOnly":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":414608,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/tm1D11/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":413883,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VJUCTP","text":"USGS data release","linkHelpText":"Comparisons from an Aqualog fluorometer standardized to quinine sulfate equivalents (QSE) with excitation (ex) and emissions (em) equivalent to fluorescence of dissolved organic Matter (fDOM) sensors from multiple manufacturers"},{"id":413879,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/01/d11/tm1d11.pdf","text":"Report","size":"3.61 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 1–D11"},{"id":413880,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/tm/01/d11/tm1d11.XML","text":"Report","linkFileType":{"id":8,"text":"xml"}},{"id":413882,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/tm/01/d11/images"},{"id":413877,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/01/d11/coverthb2.jpg"}],"contact":"

Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
4446 Pet Lane, Suite 108
Lutz, FL 33559

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2023-03-13","noUsgsAuthors":false,"publicationDate":"2023-03-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Booth, Amanda 0000-0002-2666-2366 acbooth@usgs.gov","orcid":"https://orcid.org/0000-0002-2666-2366","contributorId":5432,"corporation":false,"usgs":true,"family":"Booth","given":"Amanda","email":"acbooth@usgs.gov","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":865958,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fleck, Jacob 0000-0002-3217-3972 jafleck@usgs.gov","orcid":"https://orcid.org/0000-0002-3217-3972","contributorId":168694,"corporation":false,"usgs":true,"family":"Fleck","given":"Jacob","email":"jafleck@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":865959,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pellerin, Brian A. 0000-0003-3712-7884","orcid":"https://orcid.org/0000-0003-3712-7884","contributorId":204324,"corporation":false,"usgs":true,"family":"Pellerin","given":"Brian A.","affiliations":[{"id":37786,"text":"WMA - 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2023 - Adjusting design floods for urbanization across groundwater-dominated watersheds of Long Island, NY","interactions":[],"lastModifiedDate":"2023-03-14T11:38:49.467965","indexId":"70241154","displayToPublicDate":"2023-03-12T06:36:13","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":"Adjusting design floods for urbanization across groundwater-dominated watersheds of Long Island, NY","docAbstract":"

The magnitude and variability of floods have increased for many nontidal streams on Long Island (LI), NY since the mid-20th century. One of the most densely populated regions of the United States, LI has experienced amplified floods in step with increases in impervious land cover, storm, and sanitary sewers that have accompanied urban development. To better understand the drivers of observed flood trends and effects of urbanization, a nonstationary flood frequency analysis is conducted, using historical annual peak flow records from 17 gaged watersheds on LI using conditional moments based on physical covariates from a two-stage sequential robust linear regression procedure. Regression results indicate that urban development and precipitation are significant co-predictors of peak flows for LI watersheds that have undergone rapid development during the available peak flow record. In watersheds with less intense urbanization or that were fully developed before the peak flow record began, precipitation alone was a significant explanatory variable. Long-term baseflow patterns identified using a nonparametric smoother explained some patterns of decreasing peak flows and heteroskedasticity in the peak flow records. Fitting a log-Pearson III distribution with these conditional moments, floods corresponding to a 20% annual exceedance probability (AEP) are up to 80% higher under a nonstationary framework compared with stationary under current watershed conditions, and differ significantly (95% confidence) from stationary estimates for 6 out of 17 watersheds. Larger floods corresponding to 1% AEPs do not differ significantly between nonstationary and stationary estimates at a 95% confidence level. Nonmonotonic trends observed in two watersheds indicate that recent stormwater management practices, such as rerouting stormwater outfalls away from the channel, substantially reduce flood frequency. Reduced nonstationary flood quantile estimates at these two watersheds are 20 to 40% lower than stationary estimates when accounting for changing watershed conditions over time. Across LI, stormwater management and water-table fluctuations have increased peak flow variability, characteristic of a late phase urban adjustment period on LI. Results of this study demonstrate that a nonstationary framework is a necessary step forward toward a regional flood-frequency analysis for LI. This nonstationary framework will allow flood managers to update flood discharge estimates to current conditions that reflect altered relationships between urban cover and climate for more targeted planning of flood control, transportation infrastructure, and management of floodplain ecosystems.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2023.129194","usgsCitation":"Glas, R.L., Hecht, J.S., Simonson, A.E., Gazoorian, C.L., and Schubert, C., 2023, Adjusting design floods for urbanization across groundwater-dominated watersheds of Long Island, NY: Journal of Hydrology, v. 618, 129194, 18 p., https://doi.org/10.1016/j.jhydrol.2023.129194.","productDescription":"129194, 18 p.","ipdsId":"IP-141042","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":444235,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2023.129194","text":"Publisher Index Page"},{"id":414082,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Long Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -74.05858047106763,\n 40.53935289454654\n ],\n [\n -73.5589147395655,\n 40.53100675208171\n ],\n [\n -72.9988498537052,\n 40.622757129246565\n ],\n [\n -72.21915167927318,\n 40.85158231156032\n ],\n [\n -71.88970174641427,\n 41.046499814971185\n ],\n [\n -71.84577508869982,\n 41.12099665045869\n ],\n [\n -72.05442671284345,\n 41.191277217075765\n ],\n [\n -72.26307833698762,\n 41.21193363017932\n ],\n [\n -72.65292742420364,\n 41.129268863301746\n ],\n [\n -73.23495563892061,\n 41.067201851192294\n ],\n [\n -73.70167637713746,\n 40.980209521445886\n ],\n [\n -73.99269048449594,\n 40.83081255180315\n ],\n [\n -74.11348879321068,\n 40.63525879433698\n ],\n [\n -74.05858047106763,\n 40.53935289454654\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"618","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Glas, Robin L. 0000-0002-7394-1667","orcid":"https://orcid.org/0000-0002-7394-1667","contributorId":300625,"corporation":false,"usgs":true,"family":"Glas","given":"Robin","email":"","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hecht, Jory Seth 0000-0002-9485-3332","orcid":"https://orcid.org/0000-0002-9485-3332","contributorId":257771,"corporation":false,"usgs":true,"family":"Hecht","given":"Jory","email":"","middleInitial":"Seth","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":866290,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simonson, Amy E. 0000-0001-8468-5382","orcid":"https://orcid.org/0000-0001-8468-5382","contributorId":217671,"corporation":false,"usgs":true,"family":"Simonson","given":"Amy","email":"","middleInitial":"E.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866291,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gazoorian, Christopher L. 0000-0002-5408-6212 cgazoori@usgs.gov","orcid":"https://orcid.org/0000-0002-5408-6212","contributorId":2929,"corporation":false,"usgs":true,"family":"Gazoorian","given":"Christopher","email":"cgazoori@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866292,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schubert, Christopher 0000-0002-5137-1229 schubert@usgs.gov","orcid":"https://orcid.org/0000-0002-5137-1229","contributorId":138826,"corporation":false,"usgs":true,"family":"Schubert","given":"Christopher","email":"schubert@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":866293,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70241409,"text":"70241409 - 2023 - Regional variability in peatland burning at mid-to high-latitudes during the Holocene","interactions":[],"lastModifiedDate":"2023-03-17T11:55:32.415907","indexId":"70241409","displayToPublicDate":"2023-03-11T06:47:19","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Regional variability in peatland burning at mid-to high-latitudes during the Holocene","docAbstract":"

Northern peatlands store globally-important amounts of carbon in the form of partly decomposed plant detritus. Drying associated with climate and land-use change may lead to increased fire frequency and severity in peatlands and the rapid loss of carbon to the atmosphere. However, our understanding of the patterns and drivers of peatland burning on an appropriate decadal to millennial timescale relies heavily on individual site-based reconstructions. For the first time, we synthesise peatland macrocharcoal records from across North America, Europe, and Patagonia to reveal regional variation in peatland burning during the Holocene. We used an existing database of proximal sedimentary charcoal to represent regional burning trends in the wider landscape for each region. Long-term trends in peatland burning appear to be largely climate driven, with human activities likely having an increasing influence in the late Holocene. Warmer conditions during the Holocene Thermal Maximum (∼9–6 cal. ka BP) were associated with greater peatland burning in North America's Atlantic coast, southern Scandinavia and the Baltics, and Patagonia. Since the Little Ice Age, peatland burning has declined across North America and in some areas of Europe. This decline is mirrored by a decrease in wider landscape burning in some, but not all sub-regions, linked to fire-suppression policies, and landscape fragmentation caused by agricultural expansion. Peatlands demonstrate lower susceptibility to burning than the wider landscape in several instances, probably because of autogenic processes that maintain high levels of near-surface wetness even during drought. Nonetheless, widespread drying and degradation of peatlands, particularly in Europe, has likely increased their vulnerability to burning in recent centuries. Consequently, peatland restoration efforts are important to mitigate the risk of peatland fire under a changing climate. Finally, we make recommendations for future research to improve our understanding of the controls on peatland fires.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2023.108020","usgsCitation":"Sim, T.G., Swindles, G.T., Morris, P.J., Baird, A.J., Gallego-Sala, A.V., Wang, Y., Blaauw, M., Camill, P., Garneau, M., Hardiman, M., Loisel, J., Valiranta, M., Anderson, L., Apolinarska, K., Augustijns, F., Aunina, L., Beaulne, J., Bobek, P., Borken, W., Broothaerts, N., Cui, Q., Davies, M.A., Ejarque, A., Farrell, M., Feeser, I., Feurdean, A., Fewster, R., Finkelstein, S.A., Gaillard, M., Gałka, M., Greisman, A., Heffernan, L., Hoevers, R., Jones, M.C., Juselius, T., Karofeld, E., Knorr, K.H., Korhola, A., Kupriyanov, D., Kylander, M., Lacourse, T., Lamentowicz, M., Lavoie, M., Lemdahl, G., Lucow, D., Magnan, G., Maksims, A., Mansilla, C.A., Marcisz, K., Marinova, E., Mathijssen, P.J., Mauquoy, D., Mazei, Y., Mazei, N., McCarroll, J., McCulloch, R., Milner, A., Miras, Y., Mitchell, F.J., Novenko, E., Pelletier, N., Peros, M., Pillo, S., Pilote, L., Primeau, G., Rius, D., Robin, V., Robitaille, M., Roland, T.P., Ryberg, E., Sannel, A.B., Schittek, K., Servera-Vives, G., Shotyk, W., Slowinski, M., Stivrins, N., Swinnen, W., Thompson, G., Tiunov, A., Tsyganov, A.N., Tuittila, E., Verstraeten, G., Wallenius, T., Webb, J., Willard, D., Yu, Z., Zaccone, C., and Zhang, H., 2023, Regional variability in peatland burning at mid-to high-latitudes during the Holocene: Quaternary Science Reviews, v. 305, 108020, 17 p., https://doi.org/10.1016/j.quascirev.2023.108020.","productDescription":"108020, 17 p.","ipdsId":"IP-143498","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":444240,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quascirev.2023.108020","text":"Publisher Index Page"},{"id":435415,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LYLGEF","text":"USGS data release","linkHelpText":"Charcoal data from four sites in Great 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For more than 25 years, the U.S. Geological Survey (USGS) has used the remote-sensing capabilities of United States National Imagery Systems (USNIS) to obtain high-resolution electro-optical imagery to monitor Earth’s response to global environmental change. A major focus has been monitoring sea ice behavior in the Arctic Ocean and its marginal seas. In 1997 and 1998, under the direction of the Global Fiducials Program (GFP), USNIS imagery was collected during the Surface Heat Budget of the Arctic Ocean (SHEBA) Project. In 1999, collection of USNIS imagery of six static sea ice sites in the Arctic Ocean and its marginal seas began, and the imagery was archived in the USGS-hosted Global Fiducials Library (GFL). The static sites were imaged through 2014, creating time series of geographically referenced images which scientists have used to study seasonal changes in Arctic ice over the same locations for extended time periods. In early 2009, the Central Intelligence Agency’s MEDEA Program requested that the USGS use USNIS imagery to track movements of sea ice floes during an entire Arctic summer (April through September). The goal was to improve researchers’ understanding of seasonal changes in Arctic sea ice. In order to track and repeatedly capture imagery of the same ice as it drifted across the Arctic Ocean, the USGS developed a methodology and a series of protocols to use data from telemetering drift buoys deployed at locations across the Arctic Ocean by the International Arctic Buoy Programme (IABP) to track the drift of targeted ice masses for periods that exceeded a year. Resulting time series of sea ice imagery, captured while monitoring 38 individual buoys, were archived in the GFL. In 2013 and 2014, in support of the Seasonal Ice Zone Reconnaissance Surveys (SIZRS) Program led by the University of Washington, Seattle, Washington, the USGS requested the collection of USNIS imagery of selected sites in the Beaufort and Chukchi Seas located at every degree of latitude between 70º and 80º N. along a north-south transect. This was done to track and understand the interplay among the ice, atmosphere, and ocean and what it contributes to the rapid decline in summer ice extent that has occurred in recent years. Under the auspices of the GFP, thousands of sea ice images have been collected. Many of those that pass a quality and cloud-cover screening are archived in the GFL. Of these, more than 1,750 sea ice images have been publicly released, following an editing and processing procedure that produces high-resolution degraded images, known as “literal imagery-derived products” or LIDPs. These LIDPs have been approved for free, unrestricted public distribution and scientific analysis. The LIDPs can be downloaded from the USGS Global Fiducials Library Data Access Portal (USGS GFLDAP) at https://www.usgs.gov/global-fiducials-library-data-access-portal. In addition, nonliteral imagery-derived products (nonliteral IDPs), such as metadata, maps, charts, and graphs, have also been released.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231008","usgsCitation":"Molnia, B.F., and Wilson, E.M., 2023, Documenting Arctic sea ice dynamics with Global Fiducials Program imagery: U.S. Geological Survey Open-File Report 2023–1008, 32 p., https://doi.org/10.3133/ofr20231008.","productDescription":"viii, 32 p.","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-129958","costCenters":[{"id":36171,"text":"National Civil Applications Center","active":true,"usgs":true}],"links":[{"id":499733,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114471.htm","linkFileType":{"id":5,"text":"html"}},{"id":413704,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1008/images/"},{"id":413703,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1008/ofr20231008.XML"},{"id":413702,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231008/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2023-1008"},{"id":413701,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1008/ofr20231008.pdf","text":"Report","size":"37.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2023-1008"},{"id":413700,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1008/coverthb.jpg"}],"contact":"

Director, National Civil Applications Center
U.S. Geological Survey
12201 Sunrise Valley Drive, MS 562
Reston, VA 20192
Email: cac@usgs.gov

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2023-03-10","noUsgsAuthors":false,"publicationDate":"2023-03-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Molnia, Bruce F. 0000-0001-8102-6269","orcid":"https://orcid.org/0000-0001-8102-6269","contributorId":301013,"corporation":false,"usgs":true,"family":"Molnia","given":"Bruce","email":"","middleInitial":"F.","affiliations":[{"id":36171,"text":"National Civil Applications Center","active":true,"usgs":true}],"preferred":true,"id":865135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Earl M.","contributorId":302691,"corporation":false,"usgs":false,"family":"Wilson","given":"Earl M.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":865136,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70241122,"text":"tm8D1 - 2023 - Assembly methods for an external acoustic transmitter attachment device for fish telemetry studies","interactions":[],"lastModifiedDate":"2023-03-10T16:45:41.756614","indexId":"tm8D1","displayToPublicDate":"2023-03-10T10:07:22","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"8-D1","displayTitle":"Assembly Methods for an External Acoustic Transmitter Attachment Device for Fish Telemetry Studies","title":"Assembly methods for an external acoustic transmitter attachment device for fish telemetry studies","docAbstract":"

The purpose of this report is to describe the assembly methods for an external acoustic transmitter attachment device that can be used during fish telemetry studies. External attachment is a simple procedure that can limit handling and reduce recovery times on fish. This report provides step-by-step directions to assemble devices; this assembly method can be used for telemetry studies where external transmitter attachment is needed. General guidelines to attach transmitters to fish also are included.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm8D1","usgsCitation":"Smerud, J.R., Fredricks, K.T., Gaikowski, M.P., and Cupp, A.R., 2023, Assembly methods for an external acoustic transmitter attachment device for fish telemetry studies: U.S. Geological Survey Techniques and Methods, book 8, chap. D1, 7 p., https://doi.org/10.3133/tm8D1.","productDescription":"vi, 7 p.","numberOfPages":"18","onlineOnly":"Y","ipdsId":"IP-143564","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":413956,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/tm8D1/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":413947,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/08/d01/coverthb.jpg"},{"id":413948,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/08/d01/tm8d1.pdf","text":"Report","size":"1.52 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 8–D1"},{"id":413950,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/tm/08/d01/tm8d1.XML","text":"Report"},{"id":413951,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/tm/08/d01/images"}],"contact":"

Director, Upper Midwest Environmental Sciences Center
U.S. Geological Survey
2630 Fanta Reed Road
La Crosse, Wisconsin 54603

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2023-03-10","noUsgsAuthors":false,"publicationDate":"2023-03-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Smerud, Justin R. 0000-0003-4385-7437 jrsmerud@usgs.gov","orcid":"https://orcid.org/0000-0003-4385-7437","contributorId":302998,"corporation":false,"usgs":true,"family":"Smerud","given":"Justin R.","email":"jrsmerud@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":866147,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fredricks, Kim T. 0000-0003-2363-7891 kfredricks@usgs.gov","orcid":"https://orcid.org/0000-0003-2363-7891","contributorId":173994,"corporation":false,"usgs":true,"family":"Fredricks","given":"Kim","email":"kfredricks@usgs.gov","middleInitial":"T.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":866148,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gaikowski, Mark P. 0000-0002-6507-9341 mgaikowski@usgs.gov","orcid":"https://orcid.org/0000-0002-6507-9341","contributorId":149357,"corporation":false,"usgs":true,"family":"Gaikowski","given":"Mark P.","email":"mgaikowski@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":866149,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cupp, Aaron R. 0000-0001-5995-2100 acupp@usgs.gov","orcid":"https://orcid.org/0000-0001-5995-2100","contributorId":5162,"corporation":false,"usgs":true,"family":"Cupp","given":"Aaron","email":"acupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":866150,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70241538,"text":"70241538 - 2023 - Application of a lipopolysaccharide (LPS)-stimulated mitogenesis assay in smallmouth bass (Micropterus dolomieu) to augment wild fish health studies","interactions":[],"lastModifiedDate":"2023-03-23T14:30:38.818039","indexId":"70241538","displayToPublicDate":"2023-03-10T09:25:43","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6476,"text":"Fishes","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Application of a lipopolysaccharide (LPS)-stimulated mitogenesis assay in smallmouth bass (Micropterus dolomieu) to augment wild fish health studies","title":"Application of a lipopolysaccharide (LPS)-stimulated mitogenesis assay in smallmouth bass (Micropterus dolomieu) to augment wild fish health studies","docAbstract":"

The utility of a functional immune assay for smallmouth bass (Micropterus dolomieu) lymphocyte mitogenesis was evaluated. Wild populations in the Potomac River have faced disease and mortality with immunosuppression from exposure to chemical contaminants a suspected component. However, a validated set of immune parameters to screen for immunosuppression in wild fish populations is not available. Prior to use in ecotoxicology studies, ancillary factors influencing the mitogenic response need to be understood. The assay was field-tested with fish collected from three sites in West Virginia as part of health assessments occurring in spring (pre-spawn; April–May) and fall (recrudescence; October–November). Anterior kidney leukocytes were exposed to lipopolysaccharide (LPS) from E.coli O111:B4 or mitogen-free media and proliferation was measured using imaging flow cytometry with advanced machine learning to distinguish lymphocytes. An anti-smallmouth bass IgM monoclonal antibody was used to identify IgM+ lymphocytes. Lymphocyte mitogenesis, or proliferative responses, varied by site and season and positively and negatively correlated with factors such as sex, age, tissue parasites, and macrophage aggregates. Background proliferation of IgM− lymphocytes was negatively correlated to LPS-induced proliferation in both seasons at all sites, but only in spring for IgM+ lymphocytes. The results demonstrate that many factors, in addition to chemical contaminants, may influence lymphocyte proliferation.

","language":"English","publisher":"MDPI","doi":"10.3390/fishes8030159","usgsCitation":"Smith, C.R., Ottinger, C., Walsh, H.L., Mazik, P.M., and Blazer, V., 2023, Application of a lipopolysaccharide (LPS)-stimulated mitogenesis assay in smallmouth bass (Micropterus dolomieu) to augment wild fish health studies: Fishes, v. 8, no. 3, 159, 18 p., https://doi.org/10.3390/fishes8030159.","productDescription":"159, 18 p.","ipdsId":"IP-138884","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":444243,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/fishes8030159","text":"Publisher Index Page"},{"id":435416,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FTUPPX","text":"USGS data release","linkHelpText":"Immune Function of Wild Smallmouth Bass Collected from Sites within the Chesapeake Bay Watershed, 2016-2021"},{"id":414615,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia, West Virginia","otherGeospatial":"Cheat River, South Branch Potomac River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.18698999878868,\n 39.52897283606595\n ],\n [\n -80.18698999878868,\n 38.97427210045825\n ],\n [\n -78.74995409613122,\n 38.97427210045825\n ],\n [\n -78.74995409613122,\n 39.52897283606595\n ],\n [\n -80.18698999878868,\n 39.52897283606595\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"8","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-03-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Cheyenne R. 0000-0002-7226-1774","orcid":"https://orcid.org/0000-0002-7226-1774","contributorId":219236,"corporation":false,"usgs":true,"family":"Smith","given":"Cheyenne","email":"","middleInitial":"R.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true},{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":true,"id":867150,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ottinger, Christopher 0000-0003-2551-1985","orcid":"https://orcid.org/0000-0003-2551-1985","contributorId":205874,"corporation":false,"usgs":true,"family":"Ottinger","given":"Christopher","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":867151,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walsh, Heather L. 0000-0001-6392-4604 hwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-6392-4604","contributorId":4696,"corporation":false,"usgs":true,"family":"Walsh","given":"Heather","email":"hwalsh@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":867152,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mazik, Patricia M. 0000-0002-8046-5929 pmazik@usgs.gov","orcid":"https://orcid.org/0000-0002-8046-5929","contributorId":2318,"corporation":false,"usgs":true,"family":"Mazik","given":"Patricia","email":"pmazik@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":867153,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":867154,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70241862,"text":"70241862 - 2023 - Algal amendment enhances biogenic methane production from coals of different thermal maturity","interactions":[],"lastModifiedDate":"2023-03-29T12:25:10.724795","indexId":"70241862","displayToPublicDate":"2023-03-10T07:23:54","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1702,"text":"Frontiers in Microbiology","onlineIssn":"1664-302X","active":true,"publicationSubtype":{"id":10}},"title":"Algal amendment enhances biogenic methane production from coals of different thermal maturity","docAbstract":"

The addition of small amounts of algal biomass to stimulate methane production in coal seams is a promising low carbon renewable coalbed methane enhancement technique. However, little is known about how the addition of algal biomass amendment affects methane production from coals of different thermal maturity. Here, we show that biogenic methane can be produced from five coals ranging in rank from lignite to low-volatile bituminous using a coal-derived microbial consortium in batch microcosms with and without algal amendment. The addition of 0.1 g/l algal biomass resulted in maximum methane production rates up to 37 days earlier and decreased the time required to reach maximum methane production by 17–19 days when compared to unamended, analogous microcosms. Cumulative methane production and methane production rate were generally highest in low rank, subbituminous coals, but no clear association between increasing vitrinite reflectance and decreasing methane production could be determined. Microbial community analysis revealed that archaeal populations were correlated with methane production rate (p = 0.01), vitrinite reflectance (p = 0.03), percent volatile matter (p = 0.03), and fixed carbon (p = 0.02), all of which are related to coal rank and composition. Sequences indicative of the acetoclastic methanogenic genus Methanosaeta dominated low rank coal microcosms. Amended treatments that had increased methane production relative to unamended analogs had high relative abundances of the hydrogenotrophic methanogenic genus Methanobacterium and the bacterial family Pseudomonadaceae. These results suggest that algal amendment may shift coal-derived microbial communities towards coal-degrading bacteria and CO2-reducing methanogens. These results have broad implications for understanding subsurface carbon cycling in coal beds and the adoption of low carbon renewable microbially enhanced coalbed methane techniques across a diverse range of coal geology.

","language":"English","publisher":"Frontiers","doi":"10.3389/fmicb.2023.1097500","usgsCitation":"Platt, G.A., Davis, K.J., Schweitzer, H.D., Smith, H.J., Fields, M.W., Barnhart, E.P., and Gerlach, R., 2023, Algal amendment enhances biogenic methane production from coals of different thermal maturity: Frontiers in Microbiology, v. 14, 1097500, 15 p., https://doi.org/10.3389/fmicb.2023.1097500.","productDescription":"1097500, 15 p.","ipdsId":"IP-148791","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":444245,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmicb.2023.1097500","text":"Publisher Index Page"},{"id":414889,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","noUsgsAuthors":false,"publicationDate":"2023-03-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Platt, George A.","contributorId":218404,"corporation":false,"usgs":false,"family":"Platt","given":"George","email":"","middleInitial":"A.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":867992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Katherine J.","contributorId":203246,"corporation":false,"usgs":false,"family":"Davis","given":"Katherine","email":"","middleInitial":"J.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":867993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schweitzer, Hannah D.","contributorId":303749,"corporation":false,"usgs":false,"family":"Schweitzer","given":"Hannah","email":"","middleInitial":"D.","affiliations":[{"id":65898,"text":"Montana State University Center for Biofilm Engineering","active":true,"usgs":false}],"preferred":false,"id":867994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Heidi J.","contributorId":268344,"corporation":false,"usgs":false,"family":"Smith","given":"Heidi","email":"","middleInitial":"J.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":867995,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fields, Matthew W.","contributorId":172391,"corporation":false,"usgs":false,"family":"Fields","given":"Matthew","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":867996,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barnhart, Elliott P. 0000-0002-8788-8393","orcid":"https://orcid.org/0000-0002-8788-8393","contributorId":203225,"corporation":false,"usgs":true,"family":"Barnhart","given":"Elliott","middleInitial":"P.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":867997,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gerlach, Robin","contributorId":203247,"corporation":false,"usgs":false,"family":"Gerlach","given":"Robin","email":"","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":867998,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70243336,"text":"70243336 - 2023 - Nest traits and major flooding events influence nest survival of Emperor Geese while regional environmental variation linked to climate does not","interactions":[],"lastModifiedDate":"2023-05-09T12:13:13.510814","indexId":"70243336","displayToPublicDate":"2023-03-10T07:09:19","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9101,"text":"Ornithological Applications","printIssn":"0010-5422","active":true,"publicationSubtype":{"id":10}},"title":"Nest traits and major flooding events influence nest survival of Emperor Geese while regional environmental variation linked to climate does not","docAbstract":"

The reproductive ecology of geese that breed in the Arctic and subarctic is likely susceptible to the effects of climate change, which is projected to alter the environmental conditions of northern latitudes. Nest survival is an important component of productivity in geese; however, the effects of regional environmental conditions on nest survival are not well understood for some species, including the Emperor Goose (Anser canagicus), a species of conservation concern that is endemic to the Bering Sea region. We estimated nest survival and examined how indices of regional environmental conditions, nest traits (nest age, initiation date, and maximum number of eggs in the nest), and researcher disturbance influenced daily survival probability (DSP) of Emperor Goose nests using hierarchical models and 24 years of nest monitoring data (1994–2017) from the Yukon–Kuskokwim Delta (Y–K Delta) in western Alaska. Our results indicate that overall nest survival was generally high (µ = 0.766, 95% CRI: 0.655–0.849) and ranged from 0.327 (95% CRI: 0.176–0.482) in 2013 to 0.905 (95% CRI: 0.839–0.953) in 1995. We found that DSPs of nests were influenced by nest traits, negatively influenced by major tidal flooding events and by researcher disturbance, but were not influenced by regional indices of spring timing, temperature and precipitation during nesting, or fox and vole abundance on the Y–K Delta. However, the number of nests found each year was negatively related to our index of fox abundance, suggesting nests that failed as a result of fox predation may have never been discovered due to our limited nest-searching efforts during egg laying. Our results suggest that regional environmental variation had minimal influence on the nest survival of Emperor Geese, although major flooding events were important. Nevertheless, we suspect that within-year variation in local weather conditions and local abundance of predators and alternative prey may be important and should be considered in future studies.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithapp/duad008","usgsCitation":"Thompson, J.M., Uher-Koch, B.D., Daniels, B.L., Schmutz, J.A., and Sedinger, B.S., 2023, Nest traits and major flooding events influence nest survival of Emperor Geese while regional environmental variation linked to climate does not: Ornithological Applications, v. 125, no. 2, duad008, 14 p., https://doi.org/10.1093/ornithapp/duad008.","productDescription":"duad008, 14 p.","ipdsId":"IP-144477","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":444247,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1093/ornithapp/duad008","text":"Publisher Index Page"},{"id":435417,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9891BFB","text":"USGS data release","linkHelpText":"Emperor Goose (Anser canagicus) Nest Survival Encounter History from the Yukon-Kuskokwim Delta, Alaska, 1994-2017"},{"id":416853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon-Kuskokwim Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -166.0853296316241,\n 61.527680543295105\n ],\n [\n -166.0853296316241,\n 60.419454074425744\n ],\n [\n -163.581422052621,\n 60.419454074425744\n ],\n [\n -163.581422052621,\n 61.527680543295105\n ],\n [\n -166.0853296316241,\n 61.527680543295105\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"125","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-03-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Thompson, Jordan M.","contributorId":303133,"corporation":false,"usgs":false,"family":"Thompson","given":"Jordan","email":"","middleInitial":"M.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":872081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Uher-Koch, Brian D. 0000-0002-1885-0260 buher-koch@usgs.gov","orcid":"https://orcid.org/0000-0002-1885-0260","contributorId":5117,"corporation":false,"usgs":true,"family":"Uher-Koch","given":"Brian","email":"buher-koch@usgs.gov","middleInitial":"D.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":872082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daniels, Bryan L.","contributorId":304964,"corporation":false,"usgs":false,"family":"Daniels","given":"Bryan","email":"","middleInitial":"L.","affiliations":[{"id":66195,"text":"Yukon Delta National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":872083,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmutz, Joel A.","contributorId":304965,"corporation":false,"usgs":false,"family":"Schmutz","given":"Joel","email":"","middleInitial":"A.","affiliations":[{"id":66196,"text":"Alaska Science Center WTEB (retired)","active":true,"usgs":false}],"preferred":false,"id":872084,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sedinger, Benjamin S.","contributorId":304966,"corporation":false,"usgs":false,"family":"Sedinger","given":"Benjamin","email":"","middleInitial":"S.","affiliations":[{"id":33303,"text":"University of Wisconsin Stevens Point","active":true,"usgs":false}],"preferred":false,"id":872085,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70241155,"text":"70241155 - 2023 - Wastewater reuse and predicted ecological risk posed by contaminant mixtures in Potomac River watershed streams","interactions":[],"lastModifiedDate":"2023-08-07T17:00:33.651676","indexId":"70241155","displayToPublicDate":"2023-03-10T06:58:13","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":"Wastewater reuse and predicted ecological risk posed by contaminant mixtures in Potomac River watershed streams","docAbstract":"

A wastewater model was applied to the Potomac River watershed to provide (i) a means to identify streams with a high likelihood of carrying elevated effluent-derived contaminants and (ii) risk assessments to aquatic life and drinking water. The model linked effluent discharges along stream networks, accumulated wastewater, and predicted contaminant loads of municipal wastewater constituents while accounting for instream dilution and attenuation. Simulations using 2016 data suggested that nearly 30% (8281 km) of streams were wastewater impacted. Low- to medium-order streams had the largest range of accumulated wastewater (ACCWW%) values. ACCWW% exceeded a 1% threshold at >39% of drinking-water intakes (varied by temporal condition). Risk assessments of municipal wastewater-contaminant mixtures indicated that 22% (1479 km) of streams impacted by municipal wastewater (5.5% of all reaches modeled) may pose high risk to aquatic organisms under mean-annual conditions, with fish more susceptible to chronic-exposure effects relative to other taxa. Risk varied temporally and by stream order, with the greatest risk occurring in the summer in small streams. These findings suggest that wastewater may be an important factor contributing to environmental degradation in the Potomac River watershed.

","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.13110","usgsCitation":"Faunce, K.E., Barber, L., Keefe, S.H., Jasmann, J., and Krstolic, J.L., 2023, Wastewater reuse and predicted ecological risk posed by contaminant mixtures in Potomac River watershed streams: Journal of the American Water Resources Association, v. 59, no. 4, p. 779-802, https://doi.org/10.1111/1752-1688.13110.","productDescription":"24 p.","startPage":"779","endPage":"802","ipdsId":"IP-139428","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":444250,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.13110","text":"Publisher Index Page"},{"id":435418,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CB2YM7","text":"USGS data release","linkHelpText":"Potomac River Watershed Accumulated Wastewater Ratios and Predicted Environmental Concentrations"},{"id":414085,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia","otherGeospatial":"Potomac River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.00158016691461,\n 37.7988952018341\n ],\n [\n -76.30315760557744,\n 39.41263041610057\n ],\n [\n -76.67191432446523,\n 40.08428166281456\n ],\n [\n -78.02170860891448,\n 40.115475475687674\n ],\n [\n -79.51949995994003,\n 39.934136133761626\n ],\n [\n -80.11964444845647,\n 39.194067143596186\n ],\n [\n -79.98352863659944,\n 37.91127030328214\n ],\n [\n -79.8471944255433,\n 37.08531532441057\n ],\n [\n -77.98677780480173,\n 38.1705801476881\n ],\n [\n -76.00158016691461,\n 37.7988952018341\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"59","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-03-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Faunce, Kaycee E. 0000-0002-9178-0692","orcid":"https://orcid.org/0000-0002-9178-0692","contributorId":224488,"corporation":false,"usgs":true,"family":"Faunce","given":"Kaycee","email":"","middleInitial":"E.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866294,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barber, Larry B. 0000-0002-0561-0831","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":218953,"corporation":false,"usgs":true,"family":"Barber","given":"Larry B.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":866295,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keefe, Steffanie H. 0000-0002-3805-6101 shkeefe@usgs.gov","orcid":"https://orcid.org/0000-0002-3805-6101","contributorId":2843,"corporation":false,"usgs":true,"family":"Keefe","given":"Steffanie","email":"shkeefe@usgs.gov","middleInitial":"H.","affiliations":[{"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":866296,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jasmann, Jeramy Roland 0000-0002-5251-6987","orcid":"https://orcid.org/0000-0002-5251-6987","contributorId":220849,"corporation":false,"usgs":true,"family":"Jasmann","given":"Jeramy Roland","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":866297,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krstolic, Jennifer L. 0000-0003-2253-9886 jkrstoli@usgs.gov","orcid":"https://orcid.org/0000-0003-2253-9886","contributorId":3677,"corporation":false,"usgs":true,"family":"Krstolic","given":"Jennifer","email":"jkrstoli@usgs.gov","middleInitial":"L.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true},{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866298,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70241458,"text":"70241458 - 2023 - Assessing impaired benthic communities using sediment toxicity and contaminant concentrations from reference sites inside the Niagara River Area of Concern","interactions":[],"lastModifiedDate":"2023-03-21T11:54:10.759916","indexId":"70241458","displayToPublicDate":"2023-03-10T06:50:50","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Assessing impaired benthic communities using sediment toxicity and contaminant concentrations from reference sites inside the Niagara River Area of Concern","docAbstract":"

Anthropogenically degraded benthic-macroinvertebrate communities (benthos) are one of seven beneficial use impairments (BUIs) in the Niagara River Area of Concern (AOC). Over the last 50 years, upgrades to waste-water treatment, industry closures, and sediment remediations reduced contaminant levels throughout the system. Improvements in benthic communities and sediment toxicity, however, were difficult to assess because there are no comparable reference reaches outside the AOC. A multi-phase study was initiated in 2015 to determine if data from inside the AOC could identify reference conditions, if toxicity and benthic-community data from these sites differed from other AOC sites, and if further remediation efforts were warranted in parts of the AOC. Concentrations or quotients of PAHs, PCBs, dioxins and furans, pesticides, and most metals were below their New York Sediment Class A Guidance Values at 10 sites that were subsequently designated as reference sites. Survival and growth data from Chironomus dilutus and Hyalella azteca bioassays indicated that sediments from only a few individual AOC-impact sites were toxic or significantly different from reference sites, and that mean toxicity at pooled AOC-impact and reference sites did not differ significantly. Similarly, New York Biological Assessment Profile scores and chironomid mentum deformity scores at only a few individual sites differed significantly from corresponding indices at reference sites, but neither metric differed significantly in comparisons between pooled AOC-impact and reference sites. Most analyses indicated that benthic communities were unimpaired and that removal criteria for the benthos BUI were largely met in much of the upper Niagara River AOC.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2023.01.002","usgsCitation":"Baldigo, B., George, S.D., Lenox, A., Filipski, M., and Duffy, B.T., 2023, Assessing impaired benthic communities using sediment toxicity and contaminant concentrations from reference sites inside the Niagara River Area of Concern: Journal of Great Lakes Research, v. 49, no. 2, p. 463-478, https://doi.org/10.1016/j.jglr.2023.01.002.","productDescription":"16 p.","startPage":"463","endPage":"478","ipdsId":"IP-144790","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":444253,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2023.01.002","text":"Publisher Index Page"},{"id":414423,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Niagra River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -79.02471125107051,\n 42.99189397743106\n ],\n [\n -79.02471125107051,\n 42.81190313273606\n ],\n [\n -78.84214107994451,\n 42.81190313273606\n ],\n [\n -78.84214107994451,\n 42.99189397743106\n ],\n [\n -79.02471125107051,\n 42.99189397743106\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"49","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Baldigo, Barry P. 0000-0002-9862-9119","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":25174,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866893,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866894,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lenox, Andrew","contributorId":303245,"corporation":false,"usgs":false,"family":"Lenox","given":"Andrew","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":866895,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Filipski, Mark","contributorId":303246,"corporation":false,"usgs":false,"family":"Filipski","given":"Mark","email":"","affiliations":[{"id":65724,"text":"New York State Dept. of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":866896,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duffy, Brian T.","contributorId":272971,"corporation":false,"usgs":false,"family":"Duffy","given":"Brian","email":"","middleInitial":"T.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":866897,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70243024,"text":"70243024 - 2023 - Evaluating brook trout egg and alevin survival at different temperatures in simulated karst environments with marl sedimentation","interactions":[],"lastModifiedDate":"2023-04-27T11:44:21.015229","indexId":"70243024","displayToPublicDate":"2023-03-10T06:42:42","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3909,"text":"Journal of the Southeastern Association of Fish and Wildlife Agencies","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating brook trout egg and alevin survival at different temperatures in simulated karst environments with marl sedimentation","docAbstract":"

Brook trout (Salvelinus fontinalis) have been extirpated from many karst-geology streams in West Virginia; however, the causes are not fully understood. Specifically, the impact of calcareous precipitate (marl), which is common in hard-water environments, has not been evaluated as an im- pediment to juvenile survival. Accordingly, two lab-based studies were conducted to determine if brook trout egg and alevin survival is inhibited by marl. In the first study, three aeration treatments were applied to water from a limestone spring source (13–14 C; ~300 mg L–1 hardness), resulting in different pH levels and an increasing degree of marl precipitate. Treatments included raw/untreated (RU; no marl), once-aerated (OA; limited marl), and continuously aerated (CA; significant marl) water. Brook trout eggs obtained from a local hatchery were fertilized and stocked among gravel-filled trays receiving each water type. Mortality occurred faster in CA water where marl coated egg surfaces, but cumulative survival was negligible for all water types. After 53 days, no surviving alevins remained in RU or CA, and 1% survival was observed in OA water. However, extra eggs maintained in a marl-producing system at 8 C without gravel demonstrated >50% survival. A second study was carried out to investigate this discrepancy. Survival was evaluated at three temperatures with and without gravel while producing a thin coating of marl. Increased prevalence of alevin deformities and significantly lower survival were observed at 13.7 C versus 8.1 and 11.2 C, but gravel inclusion did not affect these variables. Potentially harmful effects of marl were observed; however, juvenile brook trout survival was higher during Study 2. This research suggests that brook trout reintroduction efforts in karst-geology streams should be focused on microhabitats with limited marl production and adequate water temperatures for juvenile survival.

","language":"English","publisher":"Southeastern Association of Fish and Wildlife Agencies","usgsCitation":"Davidson, J., Raines, C.D., Crouse, C., Goodchild, C., and Keplinger, B.J., 2023, Evaluating brook trout egg and alevin survival at different temperatures in simulated karst environments with marl sedimentation: Journal of the Southeastern Association of Fish and Wildlife Agencies, v. 10, p. 27-35.","productDescription":"8 p.","startPage":"27","endPage":"35","ipdsId":"IP-136152","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":416430,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":416429,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://seafwa.org/journal/2023/evaluating-brook-trout-egg-and-alevin-survival-different-temperatures-simulated-karst"}],"volume":"10","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Davidson, John.","contributorId":304480,"corporation":false,"usgs":false,"family":"Davidson","given":"John.","email":"","affiliations":[{"id":33606,"text":"The Conservation Fund Freshwater Institute","active":true,"usgs":false}],"preferred":false,"id":870620,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Raines, Clayton D. 0000-0002-0403-190X","orcid":"https://orcid.org/0000-0002-0403-190X","contributorId":296362,"corporation":false,"usgs":true,"family":"Raines","given":"Clayton","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":870621,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crouse, Curtis","contributorId":304481,"corporation":false,"usgs":false,"family":"Crouse","given":"Curtis","email":"","affiliations":[{"id":33606,"text":"The Conservation Fund Freshwater Institute","active":true,"usgs":false}],"preferred":false,"id":870622,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goodchild, CHristopher","contributorId":265929,"corporation":false,"usgs":false,"family":"Goodchild","given":"CHristopher","affiliations":[{"id":54572,"text":"University of Central Oklahoma","active":true,"usgs":false}],"preferred":false,"id":870623,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keplinger, Brandon J.","contributorId":204644,"corporation":false,"usgs":false,"family":"Keplinger","given":"Brandon","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":870624,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70241102,"text":"sim3498 - 2023 - Three-dimensional geologic map the southeastern Gabbs Valley geothermal area, Nevada","interactions":[],"lastModifiedDate":"2026-02-19T17:45:28.588946","indexId":"sim3498","displayToPublicDate":"2023-03-09T14:42:24","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3498","displayTitle":"Three-Dimensional Geologic Map of the Southeastern Gabbs Valley Geothermal Area, Nevada","title":"Three-dimensional geologic map the southeastern Gabbs Valley geothermal area, Nevada","docAbstract":"

This three-dimensional (3D) geologic map displays the subsurface geology in the upper ~4 kilometers of the Earth’s crust in the southeastern Gabbs Valley geothermal area of west-central Nevada. The 3D map was constructed by integrating the results from detailed geologic mapping, 3D gravity inversion modeling, and potential-field-geophysical studies. This effort was undertaken as part of the Nevada Play Fairway Project, a regional effort to characterize new geothermal resources in the United States. Local data collection and analysis in southeastern Gabbs Valley, Nevada, including the construction of this 3D map, led to the drilling of six temperature gradient wells and identification of previously unknown hydrothermal fluids at 150 meters depth. The measured temperatures, which are as high as 124.9 degrees Celsius, indicate that the southeastern Gabbs Valley hydrothermal system has temperatures that are comparable to geothermal fields that have been developed for electricity generation in the region. We describe the geologic units and structures displayed by the map and discuss the methods used to integrate the geologic and geophysical information into the 3D geologic interpretation. The accompanying map provides horizontal and vertical section views and oblique perspective views from several angles. The digital data for elements of the map, the individual 3D fault surfaces, and stratigraphic surfaces are available from Siler (2022). The accompanying map sheet and video displaying the 3D map are available at https://doi.org/10.3133/sim3498.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3498","usgsCitation":"Siler, D.L., Witter, J.B., Craig, J.W., Earney, T.E., Schermerhorn, W.D., Fournier, D., Faulds, J.E., Glen, J.M.G., and Peacock, J.R., 2023, Three-dimensional geologic map the southeastern Gabbs Valley geothermal area, Nevada: U.S. Geological Survey Scientific Investigations Map 3498, 23 p., 1 sheet, https://doi.org/10.3133/sim3498.","productDescription":"Pamphlet: v, 23 p.; 1 Sheet: 46.00 × 39.00 inches; Video","numberOfPages":"23","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-122870","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":500204,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114474.htm","linkFileType":{"id":5,"text":"html"}},{"id":413934,"rank":5,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3498/sim3498_video.mp4","text":"Video","size":"45 MB MP4"},{"id":413933,"rank":4,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sim/3498/sim3498_pamphlet.pdf","text":"Pamphlet","size":"20 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":413932,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3498/sim3498_sheet.pdf","text":"Sheet","size":"25 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":413931,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3498/covrthb.jpg"},{"id":413930,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BR3681","text":"Stratigraphic and fault surfaces from the three-dimensional geologic map of the southeastern Gabbs Valley geothermal area","description":"Siler, D.L., 2022, Stratigraphic and fault surfaces from the three-dimensional geologic map of the southeastern Gabbs Valley geothermal area: U.S. Geological Survey data release, https://doi.org/10.5066/P9BR3681."}],"country":"United States","state":"Nevada","otherGeospatial":"Gabbs Valley geothermal area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.3,\n 38.3\n ],\n [\n -117.3,\n 39.0\n ],\n [\n -119.0,\n 39.0\n ],\n [\n -119.0,\n 38.3\n ],\n [\n -117.3,\n 38.3\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Contact Information,
Geology, Minerals, Energy, & Geophysics Science Center Moffett Field
U.S. Geological Survey
350 N. Akron Rd. P.O. Box 158
Moffett Field, CA 94035

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2023-03-09","noUsgsAuthors":false,"publicationDate":"2023-03-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Siler, Drew L. 0000-0001-7540-8244","orcid":"https://orcid.org/0000-0001-7540-8244","contributorId":203341,"corporation":false,"usgs":true,"family":"Siler","given":"Drew","email":"","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":866086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Witter, Jeffrey B. 0000-0002-1357-1481","orcid":"https://orcid.org/0000-0002-1357-1481","contributorId":211948,"corporation":false,"usgs":false,"family":"Witter","given":"Jeffrey","email":"","middleInitial":"B.","affiliations":[{"id":38365,"text":"Innovate Geothermal Ltd.","active":true,"usgs":false}],"preferred":false,"id":866087,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Craig, Jason W 0000-0001-7711-2412","orcid":"https://orcid.org/0000-0001-7711-2412","contributorId":210083,"corporation":false,"usgs":false,"family":"Craig","given":"Jason","email":"","middleInitial":"W","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":866088,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Earney, Tait E. 0000-0002-1504-0457","orcid":"https://orcid.org/0000-0002-1504-0457","contributorId":210080,"corporation":false,"usgs":true,"family":"Earney","given":"Tait","email":"","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":866089,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schermerhorn, William D. 0000-0002-0167-378X","orcid":"https://orcid.org/0000-0002-0167-378X","contributorId":210081,"corporation":false,"usgs":true,"family":"Schermerhorn","given":"William","email":"","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":866090,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fournier, Dominique","contributorId":211985,"corporation":false,"usgs":false,"family":"Fournier","given":"Dominique","email":"","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":866091,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Faulds, James E.","contributorId":184258,"corporation":false,"usgs":false,"family":"Faulds","given":"James E.","affiliations":[],"preferred":false,"id":866092,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Glen, Jonathan M.G. 0000-0002-3502-3355 jglen@usgs.gov","orcid":"https://orcid.org/0000-0002-3502-3355","contributorId":176530,"corporation":false,"usgs":true,"family":"Glen","given":"Jonathan","email":"jglen@usgs.gov","middleInitial":"M.G.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":866093,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Peacock, Jared R. 0000-0002-0439-0224 jpeacock@usgs.gov","orcid":"https://orcid.org/0000-0002-0439-0224","contributorId":4996,"corporation":false,"usgs":true,"family":"Peacock","given":"Jared","email":"jpeacock@usgs.gov","middleInitial":"R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":866094,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70241098,"text":"dr1168 - 2023 - Terrestrial invertebrate diversity and occurrence in restored hardwood forest floodplains, Indiana, United States, June–August 2016","interactions":[],"lastModifiedDate":"2023-03-10T12:24:33.897577","indexId":"dr1168","displayToPublicDate":"2023-03-09T14:17:43","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1168","displayTitle":"Terrestrial Invertebrate Diversity and Occurrence in Restored Hardwood Forest Floodplains, Indiana, United States, June–August 2016","title":"Terrestrial invertebrate diversity and occurrence in restored hardwood forest floodplains, Indiana, United States, June–August 2016","docAbstract":"

This report provides a summary of terrestrial invertebrates collected at old field, mature, and restored hardwood forest floodplain sites in northeast Indiana. Invertebrate populations were sampled at selected sites using walking butterfly transects, pitfall-enhanced Malaise invertebrate traps (PEMITs), and sweep nets. We identified a total of 19 taxonomic groups of butterflies, with 1, 11, and 18 groups from the old field, mature, and restored sites, respectively. Samples collected with PEMITs captured 26 different invertebrate taxa and 4 vertebrate taxa on mature and restored sites (24 invertebrate taxa, each, on mature and restored sites; 3 and 2 vertebrate species on mature and restored sites, respectively). Sweep net sampling of restored sites captured 18 invertebrate taxa, including mantids (Mantodea), which were not detected using PEMITs. These data were collected in anticipation of assessing the progress of restored hardwood forest communities towards conditions associated with mature seasonally inundated floodplain forests in northeast Indiana.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1168","usgsCitation":"Albers, J.L., Wildhaber, M.L., Struckhoff, M.A., Westrich, D.J., Green, N.S., Poulton, B.C., and Hooper, M.J., 2023, Terrestrial invertebrate diversity and occurrence in restored hardwood forest floodplains, Indiana, United States, June–August 2016: U.S. Geological Survey Data Report 1168, 7 p., https://doi.org/10.3133/dr1168.","productDescription":"Report: vi, 7 p.; Data Release","numberOfPages":"18","onlineOnly":"Y","ipdsId":"IP-131446","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":413907,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YZX7G6","text":"USGS data release","linkHelpText":"Terrestrial invertebrate diversity and occurrence in restored hardwood forest floodplains, Indiana, United States, June–August 2016"},{"id":413925,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1168/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":413902,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1168/coverthb.jpg"},{"id":413904,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1168/dr1168.pdf","text":"Report","size":"2.18 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1168"},{"id":413905,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1168/dr1168.XML","size":"55.2 kB","linkFileType":{"id":8,"text":"xml"},"description":"DR 1168 XML"},{"id":413906,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1168/images"}],"country":"United States","state":"Indiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -85.05935419571834,\n 41.09321758703314\n ],\n [\n -85.05935419571834,\n 41.058939864910855\n ],\n [\n -85.01182417936363,\n 41.058939864910855\n ],\n [\n -85.01182417936363,\n 41.09321758703314\n ],\n [\n -85.05935419571834,\n 41.09321758703314\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Columbia Environmental Research Center
U.S. Geological Survey
4200 New Haven Road
Columbia, MO 65201

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2023-03-09","noUsgsAuthors":false,"publicationDate":"2023-03-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Albers, Janice L. 0000-0002-6312-8269 jalbers@usgs.gov","orcid":"https://orcid.org/0000-0002-6312-8269","contributorId":3972,"corporation":false,"usgs":true,"family":"Albers","given":"Janice","email":"jalbers@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":866039,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":866040,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Struckhoff, Matthew A. 0000-0002-4911-9956 mstruckhoff@usgs.gov","orcid":"https://orcid.org/0000-0002-4911-9956","contributorId":2095,"corporation":false,"usgs":true,"family":"Struckhoff","given":"Matthew","email":"mstruckhoff@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":866041,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Westrich, Daniel J. 0000-0001-8661-0464","orcid":"https://orcid.org/0000-0001-8661-0464","contributorId":217706,"corporation":false,"usgs":true,"family":"Westrich","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":866042,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Green, Nicholas S. 0000-0002-8538-4191 ngreen@usgs.gov","orcid":"https://orcid.org/0000-0002-8538-4191","contributorId":150743,"corporation":false,"usgs":true,"family":"Green","given":"Nicholas","email":"ngreen@usgs.gov","middleInitial":"S.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":866043,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Poulton, Barry C. 0000-0002-7219-4911 bpoulton@usgs.gov","orcid":"https://orcid.org/0000-0002-7219-4911","contributorId":2421,"corporation":false,"usgs":true,"family":"Poulton","given":"Barry","email":"bpoulton@usgs.gov","middleInitial":"C.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":866044,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hooper, Michael J. 0000-0002-4161-8961 mhooper@usgs.gov","orcid":"https://orcid.org/0000-0002-4161-8961","contributorId":3251,"corporation":false,"usgs":true,"family":"Hooper","given":"Michael","email":"mhooper@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":866045,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70254845,"text":"70254845 - 2023 - Food caching by a solitary large carnivore reveals importance of intermediate-sized prey","interactions":[],"lastModifiedDate":"2024-06-10T16:59:54.829535","indexId":"70254845","displayToPublicDate":"2023-03-09T11:54:39","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Food caching by a solitary large carnivore reveals importance of intermediate-sized prey","docAbstract":"

Pumas (Puma concolor) are solitary large carnivores that exhibit high energetic investments while hunting prey that often take multiple days to consume. Therefore, pumas should behave in a way to maximize their energetic gains, including using caching, which is a behavior used by many mammal species to preserve and store food or to conceal it from conspecifics and scavengers to limit their losses. Yet pumas do not always cache their kills. In order to understand caching behavior, we used variables associated with the kills such as prey mass, search time, climate, and habitat to test 20 ecological models (representing four a priori hypotheses: food perishability, resource pulse, consumption time, and kleptoparasitism deterrence) in an information-theoretic approach of model selection to explore factors related to the caching behavior. Models were run with information from tracked radio-collared pumas in California over a 2.5-year period and identified a total of 352 kills. Overall, we documented pumas caching 61.5% of their kills, including 71.6% of Black-tailed Deer (Odocoileus hemionus columbianus), their primary prey in the study area. The model with a quadratic effect of adjusted mass of prey on puma caching probability had all of the empirical support (w = 1.00). Specifically, pumas were most likely to cache intermediate-sized prey, such as yearling and adult female deer, and also fed from cached kills for longer periods of time. Larger prey may be too large to easily cache, making it less energetically efficient—while small prey can often be consumed quickly enough to not require caching. This suggests that intermediate-sized prey may be the optimal size for caching, allowing a puma to feed for multiple days while not greatly increasing energetic output. The hypotheses we tested were not mutually exclusive and pumas caching their prey may occur for several reasons; nevertheless, our study demonstrated that pumas use caching to extend their foraging time and maximize energetic gains when preying on intermediate-sized prey.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/jmammal/gyad013","usgsCitation":"Allen, M., Elbroch, L.M., Bauder, J.M., and Wittmer, H., 2023, Food caching by a solitary large carnivore reveals importance of intermediate-sized prey: Journal of Mammalogy, v. 104, no. 3, p. 457-165, https://doi.org/10.1093/jmammal/gyad013.","productDescription":"9 p.","startPage":"457","endPage":"165","ipdsId":"IP-137851","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":444256,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyad013","text":"Publisher Index Page"},{"id":429780,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mendocino National Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.5,\n 40.25\n ],\n [\n -123.25,\n 40.25\n ],\n [\n -123.25,\n 39.5\n ],\n [\n -122.5,\n 39.5\n ],\n [\n -122.5,\n 40.25\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"104","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-03-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Allen, Maximilian L.","contributorId":337812,"corporation":false,"usgs":false,"family":"Allen","given":"Maximilian L.","affiliations":[{"id":36403,"text":"University of Illinois","active":true,"usgs":false}],"preferred":false,"id":902700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elbroch, L. Mark","contributorId":337813,"corporation":false,"usgs":false,"family":"Elbroch","given":"L.","email":"","middleInitial":"Mark","affiliations":[{"id":81049,"text":"Panthera","active":true,"usgs":false}],"preferred":false,"id":902701,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bauder, Javan Mathias 0000-0002-2055-5324","orcid":"https://orcid.org/0000-0002-2055-5324","contributorId":337814,"corporation":false,"usgs":true,"family":"Bauder","given":"Javan","email":"","middleInitial":"Mathias","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902702,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wittmer, Heiko U.","contributorId":337816,"corporation":false,"usgs":false,"family":"Wittmer","given":"Heiko U.","affiliations":[{"id":56217,"text":"Victoria University of Wellington","active":true,"usgs":false}],"preferred":false,"id":902703,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70241552,"text":"70241552 - 2023 - Mercury accumulation potential of aquatic plant species in West Dongting Lake, China","interactions":[],"lastModifiedDate":"2023-03-23T14:05:56.912685","indexId":"70241552","displayToPublicDate":"2023-03-09T09:01:02","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Mercury accumulation potential of aquatic plant species in West Dongting Lake, China","docAbstract":"

West Dongting Lake is a protected wetland with the potential for high levels of mercury release via wastewater and deposition from industry and agriculture during the last decade. To find out the ability of various plant species to accumulate mercury pollutants from soil and water, nine sites were studied in the downstream direction of the flow of the Yuan and Li Rivers, which are tributaries of the Yellow River flowing into West Dongting Lake, where mercury levels arere high in soil and plant tissues. The total mercury (THg) concentration in wetland soil was 0.078–1.659 mg/kg, which varied along the gradient of water flow along the river. According to canonical correspondence analysis and correlation analysis, there was a positive correlation between the soil THg concentration and the soil moisture in West Dongting Lake. There is high heterogeneity in the spatial distribution of soil THg concentration in West Dongting Lake, which may be related to the spatial heterogeneity of the soil moisture. Some plant species had higher THg concentrations in aboveground tissues (translocation factor >1), but none of these plant species fit the criteria as hyperaccumulators of mercury. And some species of the same ecological type (e.g., emergent, submergent, floating-leaved) exhibited very different strategies for mercury uptake. The concentrations of mercury in these species were lower than in other studies but these had relatively higher translocation factors. To phytoremediate soil mercury in West Dongting Lake, the regular harvest of plants could help remove mercury from soil and plant tissue.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2023.121313","usgsCitation":"Peng, D., Chen, M., Su, X., Liu, C., Zhang, Z., Middleton, B., and Lei, T., 2023, Mercury accumulation potential of aquatic plant species in West Dongting Lake, China: Environmental Pollution, v. 324, 121313, 11 p., https://doi.org/10.1016/j.envpol.2023.121313.","productDescription":"121313, 11 p.","ipdsId":"IP-140368","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":435419,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LY46K3","text":"USGS data release","linkHelpText":"Data Release: Mercury accumulation potential of aquatic plant species in West Dongting Lake, China"},{"id":414612,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"West Dongting Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 112.33562161630698,\n 29.071246854816167\n ],\n [\n 111.91379256125646,\n 29.071246854816167\n ],\n [\n 111.91379256125646,\n 28.746233081048587\n ],\n [\n 112.33562161630698,\n 28.746233081048587\n ],\n [\n 112.33562161630698,\n 29.071246854816167\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"324","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Peng, Dong","contributorId":224694,"corporation":false,"usgs":false,"family":"Peng","given":"Dong","email":"","affiliations":[{"id":40912,"text":"Beijing Forestry","active":true,"usgs":false}],"preferred":false,"id":867278,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chen, Mingzhu","contributorId":303338,"corporation":false,"usgs":false,"family":"Chen","given":"Mingzhu","email":"","affiliations":[{"id":65768,"text":"Shenzhen Landscape Institute, Shenzhen","active":true,"usgs":false}],"preferred":false,"id":867279,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Su, Xinyue","contributorId":224696,"corporation":false,"usgs":false,"family":"Su","given":"Xinyue","email":"","affiliations":[{"id":40912,"text":"Beijing Forestry","active":true,"usgs":false}],"preferred":false,"id":867280,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Chenchen","contributorId":303339,"corporation":false,"usgs":false,"family":"Liu","given":"Chenchen","email":"","affiliations":[{"id":40912,"text":"Beijing Forestry","active":true,"usgs":false}],"preferred":false,"id":867281,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhang, Zhehao","contributorId":303340,"corporation":false,"usgs":false,"family":"Zhang","given":"Zhehao","email":"","affiliations":[{"id":65769,"text":"Forestry Bureau, Quzhou City","active":true,"usgs":false}],"preferred":false,"id":867282,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Middleton, Beth 0000-0002-1220-2326","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":222689,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":867283,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lei, Ting","contributorId":245022,"corporation":false,"usgs":false,"family":"Lei","given":"Ting","affiliations":[{"id":40912,"text":"Beijing Forestry","active":true,"usgs":false}],"preferred":false,"id":867284,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70242934,"text":"70242934 - 2023 - Investigating hydrologic alteration in the Pearl and Pascagoula River basins using rule-based model trees","interactions":[],"lastModifiedDate":"2023-04-24T12:07:47.445858","indexId":"70242934","displayToPublicDate":"2023-03-09T07:04:19","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":14255,"text":"Environmental Software and Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Investigating hydrologic alteration in the Pearl and Pascagoula River basins using rule-based model trees","docAbstract":"

Anthropogenic hydrologic alteration threatens the health of riverine ecosystems. Machine learning algorithms that employ the use of model trees to predict hydrologic alteration are underrepresented in related literature. This study assesses hydrologic alteration in the Pearl and Pascagoula River basins using modeled daily streamflow. Hydrologic alteration was determined by hypothesis testing and the computation of the net change across 60 years. Cubist models were developed for both basins to predict hydrologic alteration and to identify important basin characteristics. Results from net change and the hypothesis test indicated the basins were essentially identical with respect to the amount of hydrologic alteration. Cubist models for the basins successfully made accurate predictions of hydrologic alteration and demonstrated that the importance of basin geomorphology and land cover on alteration differed in both basins. The results of the study demonstrate the feasibility of model trees in assessing hydrologic alteration.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2023.105667","usgsCitation":"Roland, V.L., Crowley-Ornelas, E., and Rodgers, K., 2023, Investigating hydrologic alteration in the Pearl and Pascagoula River basins using rule-based model trees: Environmental Software and Modelling, v. 163, 105667, 10 p., https://doi.org/10.1016/j.envsoft.2023.105667.","productDescription":"105667, 10 p.","ipdsId":"IP-116276","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":444260,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envsoft.2023.105667","text":"Publisher Index Page"},{"id":435420,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PUMMTV","text":"USGS data release","linkHelpText":"Supporting data and model outputs for hydrologic alteration modeling in the Pearl and Pascagoula river basins"},{"id":416172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","otherGeospatial":"Pascagoula River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -89.80875982614708,\n 32.61000614560781\n ],\n [\n -89.80875982614708,\n 30.154023040111667\n ],\n [\n -88.27367909529212,\n 30.154023040111667\n ],\n [\n -88.27367909529212,\n 32.61000614560781\n ],\n [\n -89.80875982614708,\n 32.61000614560781\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"163","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Roland, Victor L. II 0000-0002-6260-9351 vroland@usgs.gov","orcid":"https://orcid.org/0000-0002-6260-9351","contributorId":212248,"corporation":false,"usgs":true,"family":"Roland","given":"Victor","suffix":"II","email":"vroland@usgs.gov","middleInitial":"L.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":870238,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crowley-Ornelas, Elena 0000-0002-1823-8485","orcid":"https://orcid.org/0000-0002-1823-8485","contributorId":211970,"corporation":false,"usgs":true,"family":"Crowley-Ornelas","given":"Elena","email":"","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":870239,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodgers, Kirk D. 0000-0003-4322-2781","orcid":"https://orcid.org/0000-0003-4322-2781","contributorId":203438,"corporation":false,"usgs":true,"family":"Rodgers","given":"Kirk D.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":870334,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70255035,"text":"70255035 - 2023 - DNA virome composition of two sympatric wild felids, bobcat (Lynx rufus) and puma (Puma concolor) in Sonora, Mexico","interactions":[],"lastModifiedDate":"2024-06-17T11:56:00.079779","indexId":"70255035","displayToPublicDate":"2023-03-09T06:49:24","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":"DNA virome composition of two sympatric wild felids, bobcat (Lynx rufus) and puma (Puma concolor) in Sonora, Mexico","docAbstract":"

With viruses often having devastating effects on wildlife population fitness and wild mammals serving as pathogen reservoirs for potentially zoonotic diseases, determining the viral diversity present in wild mammals is both a conservation and One Health priority. Additionally, transmission from more abundant hosts could increase the extinction risk of threatened sympatric species. We leveraged an existing circular DNA enriched metagenomic dataset generated from bobcat (Lynx rufus, n = 9) and puma (Puma concolor, n = 13) scat samples non-invasively collected from Sonora, Mexico, to characterize fecal DNA viromes of each species and determine the extent that viruses are shared between them. Using the metaWRAP pipeline to co-assemble viral genomes for comparative metagenomic analysis, we observed diverse circular DNA viruses in both species, including circoviruses, genomoviruses, and anelloviruses. We found that differences in DNA virome composition were partly attributed to host species, although there was overlap between viruses in bobcats and pumas. Pumas exhibited greater levels of alpha diversity, possibly due to bioaccumulation of pathogens in apex predators. Shared viral taxa may reflect dietary overlap, shared environmental resources, or transmission through host interactions, although we cannot rule out species-specific host-virus coevolution for the taxa detected through co-assembly. However, our detection of integrated feline foamy virus (FFV) suggests Sonoran pumas may interact with domestic cats. Our results contribute to the growing baseline knowledge of wild felid viral diversity. Future research including samples from additional sources (e.g., prey items, tissues) may help to clarify host associations and determine the pathogenicity of detected viruses.

","language":"English","publisher":"Frontiers","doi":"10.3389/fevo.2023.1126149","usgsCitation":"Payne, N., Combrink, L., Kraberger, S., Fontenele, R.S., Schmidlin, K., Cassaigne, I., La Peyre, M., Varsani, A., and Van Doorslaer, K., 2023, DNA virome composition of two sympatric wild felids, bobcat (Lynx rufus) and puma (Puma concolor) in Sonora, Mexico: Frontiers in Ecology and Evolution, v. 11, 1126149, 8 p., https://doi.org/10.3389/fevo.2023.1126149.","productDescription":"1126149, 8 p.","ipdsId":"IP-149132","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":444262,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2023.1126149","text":"Publisher Index Page"},{"id":430262,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"Sonora","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.19440978222217,\n 30.450705717717966\n ],\n [\n -110.19440978222217,\n 29.039021499757723\n ],\n [\n -108.48054259472192,\n 29.039021499757723\n ],\n [\n -108.48054259472192,\n 30.450705717717966\n ],\n [\n -110.19440978222217,\n 30.450705717717966\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2023-03-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Payne, Natalie","contributorId":287191,"corporation":false,"usgs":false,"family":"Payne","given":"Natalie","email":"","affiliations":[{"id":40855,"text":"UA","active":true,"usgs":false}],"preferred":false,"id":903195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Combrink, Leigh","contributorId":338348,"corporation":false,"usgs":false,"family":"Combrink","given":"Leigh","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":903196,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kraberger, Simona","contributorId":338349,"corporation":false,"usgs":false,"family":"Kraberger","given":"Simona","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":903197,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fontenele, Rafaela S.","contributorId":338350,"corporation":false,"usgs":false,"family":"Fontenele","given":"Rafaela","email":"","middleInitial":"S.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":903198,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmidlin, Kara","contributorId":338351,"corporation":false,"usgs":false,"family":"Schmidlin","given":"Kara","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":903199,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cassaigne, Ivonne","contributorId":173305,"corporation":false,"usgs":false,"family":"Cassaigne","given":"Ivonne","email":"","affiliations":[],"preferred":false,"id":903200,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"La Peyre, Megan K. 0000-0001-9936-2252","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":264343,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":903201,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Varsani, Arvind","contributorId":338353,"corporation":false,"usgs":false,"family":"Varsani","given":"Arvind","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":903202,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Van Doorslaer, Koenraad","contributorId":338354,"corporation":false,"usgs":false,"family":"Van Doorslaer","given":"Koenraad","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":903203,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70248798,"text":"70248798 - 2023 - Increased salinity decreases annual gross primary productivity at a Northern California brackish tidal marsh","interactions":[],"lastModifiedDate":"2023-09-21T11:44:36.867114","indexId":"70248798","displayToPublicDate":"2023-03-09T06:39:34","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Increased salinity decreases annual gross primary productivity at a Northern California brackish tidal marsh","docAbstract":"

Tidal marshes sequester 11.4–87.0 Tg C yr−1 globally, but climate change impacts can threaten the carbon capture potential of these ecosystems. Tidal marshes occur across a wide range of salinity, with brackish marshes (0.5–18 ppt (parts per thousand)) dominating global tidal marsh extents. A diverse mix of freshwater- and saltwater-tolerant plant and microbial communities has led researchers to predict that carbon cycling in brackish wetlands may be less sensitive to changes in salinity than fresh- or saltwater wetlands. Rush Ranch, a well-monitored brackish tidal wetland of the San Francisco Bay National Estuarine Research Reserve, experiences highly variable annual salinity regimes. Within a five-year period (2014–2018), Rush Ranch experienced particularly extreme drought-induced salinization during the 2014 and 2015 growing seasons. During drought years, tidal channel salinity rose from a 15 year baseline of 4.7 ppt to growing season peaks of 10.3 ppt and 12.5 ppt. Continuous eddy covariance data from 2014 to 2018 demonstrate that during drought summers, gross primary productivity (GPP) decreased by 24%, whereas ecosystem respiration remained similar among all five years. Stepwise linear regression revealed that salinity, not air temperature or tidal height, was the dominant driver of annual GPP. A random forest model trained to predict GPP based on environmental data from low salinity years (i.e. naive to salinization) significantly over predicted GPP in drought years. When growing season salinities were doubled, annual estimates of net ecosystem exchange of CO2 decreased by up to 30%. These results provide ecosystem-scale evidence that increased salinity influences CO2 fluxes dominantly through reductions in GPP. This relationship provides a starting point for incorporating the effect of changes in salinity in wetland carbon models, which could improve wetland carbon forecasting and management for climate resilience.

","language":"English","publisher":"IOP","doi":"10.1088/1748-9326/acbbdf","usgsCitation":"Russell, S., Windham-Myers, L., Goodrich-Stuart, E.J., Bergamaschi, B.A., Anderson, F., Oikawa, P., and Knox, S., 2023, Increased salinity decreases annual gross primary productivity at a Northern California brackish tidal marsh: Environmental Research Letters, v. 18, 034045, 10 p., https://doi.org/10.1088/1748-9326/acbbdf.","productDescription":"034045, 10 p.","ipdsId":"IP-149986","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":444266,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/acbbdf","text":"Publisher Index Page"},{"id":421014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.00689343442716,\n 38.44599977790884\n ],\n [\n -123.00689343442716,\n 37.24062853477555\n ],\n [\n -121.20590833961992,\n 37.24062853477555\n ],\n [\n -121.20590833961992,\n 38.44599977790884\n ],\n [\n -123.00689343442716,\n 38.44599977790884\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"18","noUsgsAuthors":false,"publicationDate":"2023-03-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Russell, Sarah","contributorId":329961,"corporation":false,"usgs":false,"family":"Russell","given":"Sarah","email":"","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":883703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Windham-Myers, Lisamarie 0000-0003-0281-9581 lwindham-myers@usgs.gov","orcid":"https://orcid.org/0000-0003-0281-9581","contributorId":2449,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":883704,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goodrich-Stuart, Ellen J 0000-0001-9901-7643","orcid":"https://orcid.org/0000-0001-9901-7643","contributorId":272612,"corporation":false,"usgs":true,"family":"Goodrich-Stuart","given":"Ellen","email":"","middleInitial":"J","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":883705,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":140776,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian","email":"bbergama@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":883706,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Frank","contributorId":329963,"corporation":false,"usgs":false,"family":"Anderson","given":"Frank","affiliations":[{"id":27571,"text":"USGS volunteer","active":true,"usgs":false}],"preferred":false,"id":883707,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oikawa, Patty","contributorId":329964,"corporation":false,"usgs":false,"family":"Oikawa","given":"Patty","affiliations":[{"id":64648,"text":"California State University, East Bay","active":true,"usgs":false}],"preferred":false,"id":883708,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Knox, Sara","contributorId":329966,"corporation":false,"usgs":false,"family":"Knox","given":"Sara","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":883709,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70241208,"text":"70241208 - 2023 - A meta-analysis of the stony coral tissue loss disease microbiome finds key bacteria in unaffected and lesion tissue in diseased colonies","interactions":[],"lastModifiedDate":"2023-03-15T11:39:26.664741","indexId":"70241208","displayToPublicDate":"2023-03-09T06:36:09","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":13460,"text":"ISME Communications","active":true,"publicationSubtype":{"id":10}},"title":"A meta-analysis of the stony coral tissue loss disease microbiome finds key bacteria in unaffected and lesion tissue in diseased colonies","docAbstract":"

Stony coral tissue loss disease (SCTLD) has been causing significant whole colony mortality on reefs in Florida and the Caribbean. The cause of SCTLD remains unknown, with the limited concurrence of SCTLD-associated bacteria among studies. We conducted a meta-analysis of 16S ribosomal RNA gene datasets generated by 16 field and laboratory SCTLD studies to find consistent bacteria associated with SCTLD across disease zones (vulnerable, endemic, and epidemic), coral species, coral compartments (mucus, tissue, and skeleton), and colony health states (apparently healthy colony tissue (AH), and unaffected (DU) and lesion (DL) tissue from diseased colonies). We also evaluated bacteria in seawater and sediment, which may be sources of SCTLD transmission. Although AH colonies in endemic and epidemic zones harbor bacteria associated with SCTLD lesions, and aquaria and field samples had distinct microbial compositions, there were still clear differences in the microbial composition among AH, DU, and DL in the combined dataset. Alpha-diversity between AH and DL was not different; however, DU showed increased alpha-diversity compared to AH, indicating that, prior to lesion formation, corals may undergo a disturbance to the microbiome. This disturbance may be driven by Flavobacteriales, which were especially enriched in DU. In DL, Rhodobacterales and Peptostreptococcales–Tissierellales were prominent in structuring microbial interactions. We also predict an enrichment of an alpha-toxin in DL samples which is typically found in Clostridia. We provide a consensus of SCTLD-associated bacteria prior to and during lesion formation and identify how these taxa vary across studies, coral species, coral compartments, seawater, and sediment.

","language":"English","publisher":"Nature","doi":"10.1038/s43705-023-00220-0","usgsCitation":"Rosales, S.M., Huebner, L.K., Evans, J.S., Apprill, A., Baker, A.C., Bellantuono, A.J., Brandt, M.E., Clark, A.S., del Campo, J., Dennison, C.E., Eaton, K.R., Huntley, N.E., Kellogg, C.A., Medina, M., Meyer, J.L., Muller, E.M., Rodriguez-Lanetty, M., Salerno, J.L., Schill, W., Shilling, E.N., Stewart, J.M., and Voss, J.D., 2023, A meta-analysis of the stony coral tissue loss disease microbiome finds key bacteria in unaffected and lesion tissue in diseased colonies: ISME Communications, 19, 14 p., https://doi.org/10.1038/s43705-023-00220-0.","productDescription":"19, 14 p.","ipdsId":"IP-144199","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":444271,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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Introduction 

During April through September 2022, much of New England experienced a short but extreme hydrologic drought that was similar to the drought of 2020. By August 2022, Providence, Rhode Island, was declared a Federal disaster area, and New London and Windham counties in Connecticut were declared natural disaster areas. Mandatory water use restrictions were put in place in communities in Connecticut, Massachusetts, New Hampshire, and Rhode Island (Mecray and Borisoff, 2022). Precipitation in many areas of New England fell below normal levels in November 2021 and continued to decline until September 2022, contributing to low streamflows and groundwater levels in the region. U.S. Geological Survey (USGS) streamflow and groundwater conditions from April to September 2022 were used to characterize the hydrologic component of this short-duration drought. Several record low streamflows and groundwater levels were observed across New England, even falling below 2020 levels in parts of southern New England. The severity of this drought varied across New England, and regional and statewide perspectives are presented in this report.

Highlights

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\"}}]}","contact":"

Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2023-03-08","noUsgsAuthors":false,"publicationDate":"2023-03-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Crozier, Dee-Ann E. 0000-0003-0526-3013","orcid":"https://orcid.org/0000-0003-0526-3013","contributorId":245837,"corporation":false,"usgs":true,"family":"Crozier","given":"Dee-Ann","email":"","middleInitial":"E.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":865132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lenoir, Jonathan","contributorId":167876,"corporation":false,"usgs":false,"family":"Lenoir","given":"Jonathan","email":"","affiliations":[{"id":24849,"text":"Université de Picardie Jules Verne","active":true,"usgs":false}],"preferred":false,"id":865133,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lombard, Pamela J. 0000-0002-0983-1906","orcid":"https://orcid.org/0000-0002-0983-1906","contributorId":205225,"corporation":false,"usgs":true,"family":"Lombard","given":"Pamela","email":"","middleInitial":"J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":865134,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70250979,"text":"70250979 - 2023 - Movement ecology of diploid and triploid grass carp in a large reservoir and upstream tributaries","interactions":[],"lastModifiedDate":"2024-01-18T11:50:28.906291","indexId":"70250979","displayToPublicDate":"2023-03-08T05:48:43","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Movement ecology of diploid and triploid grass carp in a large reservoir and upstream tributaries","docAbstract":"

Grass carp Ctenopharyngodon idella, is an herbivorous fish originally brought to North America from Asia in 1963 to control nuisance aquatic vegetation. Since their arrival, detrimental alterations to aquatic ecosystems have sometimes occurred in waterways where they were initially stocked and into which they have escaped. The movements of grass carp from lentic systems into tributaries required for spawning is poorly understood, and understanding environmental conditions associated with upstream migrations may aid in management of the species. We stocked 43 fertile diploid and 43 sterile triploid grass carp implanted with acoustic transmitters into Truman Reservoir, Missouri, USA between January 2017 and October 2018 to characterize movements during spring and summer when spawning conditions occur. Twenty fish (11 diploid/9 triploid) exhibited upstream migration behavior in the Osage River, a major tributary, in 2018 and 2019. Migration primarily occurred in April and May, during high discharge events associated with increasing river stage when water temperatures were between 15 and 28°C. Observed migrations ranged from 3.0–108 river km in length, and six individuals were observed making multiple upstream migrations in one season. Eleven fish initiated upstream migrations while in the lentic main body of the reservoir. These findings provide some evidence for upstream migrations by diploid and triploid grass carp as well both lake and river residents. Evidence of similar upstream migration behavior by both diploid and triploid grass carp suggests that triploids may be suitable surrogates for diploids for study of movement ecology. Removal efforts in tributaries targeting periods of increasing river stage during spring may provide the best opportunity of encountering large concentrations of grass carp.

","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0281128","usgsCitation":"Hessler, T.M., Chapman, D., Paukert, C.P., Jolley, J., and Byrne, M.E., 2023, Movement ecology of diploid and triploid grass carp in a large reservoir and upstream tributaries: PLoS ONE, v. 18, no. 3, e0281128, 17 p., https://doi.org/10.1371/journal.pone.0281128.","productDescription":"e0281128, 17 p.","ipdsId":"IP-143080","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":444274,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1371/journal.pone.0281128","text":"Publisher Index Page"},{"id":435421,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94Z1S3B","text":"USGS data release","linkHelpText":"Grass Carp detections via stationary receivers and manual tracking on Truman Reservoir, MO, January 2017 to October 2019"},{"id":424553,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Center","active":true,"usgs":true}],"preferred":true,"id":892628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paukert, Craig P. 0000-0002-9369-8545","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":245524,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","middleInitial":"P.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":892629,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jolley, Jeff C.","contributorId":272076,"corporation":false,"usgs":false,"family":"Jolley","given":"Jeff C.","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":892630,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Byrne, Michael E. 0000-0001-9190-2728 mbyrne@usgs.gov","orcid":"https://orcid.org/0000-0001-9190-2728","contributorId":272077,"corporation":false,"usgs":false,"family":"Byrne","given":"Michael","email":"mbyrne@usgs.gov","middleInitial":"E.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":892631,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70240929,"text":"sir20235002 - 2023 - Hydrologic effects of possible changes in water-supply withdrawals from, and effluent recharge to, the Kirkwood-Cohansey aquifer system, Winslow Township, Camden County, New Jersey","interactions":[],"lastModifiedDate":"2026-02-24T18:09:00.975169","indexId":"sir20235002","displayToPublicDate":"2023-03-07T14:25:00","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":"2023-5002","displayTitle":"Hydrologic Effects of Possible Changes in Water-Supply Withdrawals from, and Effluent Recharge to, the Kirkwood-Cohansey aquifer system, Winslow Township, Camden County, New Jersey","title":"Hydrologic effects of possible changes in water-supply withdrawals from, and effluent recharge to, the Kirkwood-Cohansey aquifer system, Winslow Township, Camden County, New Jersey","docAbstract":"

Winslow Township and the Camden County Municipal Utility Authority (CCMUA) developed a plan to shut down the Winslow sewage-treatment facility and associated effluent infiltration facility and transfer the effluent to the CCMUA sewage-treatment facility on the Delaware River in Camden, New Jersey. Winslow Township reduced groundwater withdrawals from the Kirkwood-Cohansey aquifer system to offset groundwater recharge lost with the cessation of effluent infiltration. The U.S. Geological Survey, in cooperation with Winslow Township and the CCMUA, collected data to evaluate conditions prior to cessation of effluent infiltration and installed two continuous-record streamflow-gaging stations. Streamflow measurements also were made at two low-flow partial-record sites, and groundwater levels were measured in 17 wells at high and low water-level periods (May and September 2010). A groundwater-flow model provides estimated changes in base flow of the Great Egg Harbor River under several groundwater-withdrawal and effluent infiltration scenarios.

Water levels were measured in an observation well 480 feet (ft) from the infiltration lagoons during 1971–2010. A downward trend in water levels in the well prior to 1985 is attributed in part to increased impervious surfaces and groundwater withdrawals associated with development in the area that began in the early 1970s. From late 1985 to 2010, there was an upward trend in water levels in the well that is attributed to the construction of nearby effluent infiltration lagoons in 1985 and the increasing rate of effluent infiltration during the period. Recent and historical measurements made at the four surface-water sites were correlated with same-day discharges measured at three nearby index stations to estimate continuous low-flow record at the sites. Effects on base flow caused by reductions in groundwater withdrawals or the cessation of effluent infiltration in Winslow Township could not be ascertained from the available data with the statistical and analysis methods used.

Groundwater discharge to streams (base flow) was simulated with a groundwater-flow model of the Great Egg Harbor and Mullica River Basins. Simulated monthly base flows using 2008–10 withdrawal rates and effluent recharge (Scenario 1) are generally about 1.5 million gallons per day (Mgal/d) greater than simulated base flows using 2003–07 withdrawal rates (Baseline Scenario) because of the 1.57 Mgal/d reduction in average withdrawals by Winslow Township from the Kirkwood-Cohansey aquifer system from 2003–07 to 2008–10. Simulated monthly base flows using 2008–10 withdrawals but without effluent infiltration (Scenario 2) are very similar to, but typically slightly lower than, Baseline Scenario base flows.

Three hypothetical future distributions of groundwater withdrawals from existing Winslow Township wells are simulated, each without effluent infiltration and using the same groundwater withdrawal rate as Scenario 2, but with different hypothetical distributions of withdrawals among existing Winslow Township wells. The Scenario 3 and 4 base flows are greater than the Baseline Scenario base flows in all months, and the Scenario 5 base flows are less than the Baseline Scenario base flows in all months. The simulation results indicate that a reduction in average withdrawals from the Kirkwood-Cohansey aquifer system by 1.57 Mgal/d offsets the reduction of effluent infiltration by about the same rate, resulting in nearly unchanged base flows in the Great Egg Harbor River near Blue Anchor (01410820).

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235002","collaboration":"Prepared in cooperation with the Township of Winslow and the Camden County Municipal Utilities Authority","usgsCitation":"Carleton, G.B., and Pope, D.A., 2023, Hydrologic effects of possible changes in water-supply withdrawals from, and effluent recharge to, the Kirkwood-Cohansey aquifer system, Winslow Township, Camden County, New Jersey: U.S. Geological Survey Scientific Investigations Report 2023–5002, 16 p., https://doi.org/10.3133/sir20235002.","productDescription":"Report: vii, 16 p.; Data Release","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-057410","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":413542,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7154G0Z","text":"USGS data release","linkHelpText":"MODFLOW-2000 model used to evaluate the effects of possible changes in water-supply withdrawals from, and effluent recharge to, the Kirkwood-Cohansey aquifer system, Winslow Township, Camden County, New Jersey"},{"id":500487,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114441.htm","linkFileType":{"id":5,"text":"html"}},{"id":413541,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5002/images/"},{"id":413538,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5002/sir20235002.pdf","text":"Report","size":"1.58 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5002"},{"id":413537,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5002/coverthb.jpg"},{"id":413539,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235002/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2023-5002"},{"id":413540,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5002/sir20235002.XML"}],"country":"United States","state":"New Jersey","county":"Camden County","otherGeospatial":"Winslow Township","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75,\n 39.833\n ],\n [\n -75,\n 39.5833\n ],\n [\n -74.833,\n 39.5833\n ],\n [\n -74.833,\n 39.833\n ],\n [\n -75,\n 39.833\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike, Suite 110
Lawrenceville, NJ, 08648

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2023-03-07","noUsgsAuthors":false,"publicationDate":"2023-03-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Carleton, Glen B. 0000-0002-7666-4407","orcid":"https://orcid.org/0000-0002-7666-4407","contributorId":208415,"corporation":false,"usgs":true,"family":"Carleton","given":"Glen B.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":865337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pope, Daryll A. 0000-0002-6777-8285 dpope@usgs.gov","orcid":"https://orcid.org/0000-0002-6777-8285","contributorId":208416,"corporation":false,"usgs":true,"family":"Pope","given":"Daryll","email":"dpope@usgs.gov","middleInitial":"A.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":865338,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70241022,"text":"sir20235007 - 2023 - Status of water-level altitudes and long-term and short-term water-level changes in the Chicot and Evangeline (undifferentiated) and Jasper aquifers, greater Houston area, Texas, 2022","interactions":[],"lastModifiedDate":"2026-03-02T18:04:22.136258","indexId":"sir20235007","displayToPublicDate":"2023-03-07T13:51:09","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":"2023-5007","displayTitle":"Status of Water-Level Altitudes and Long-Term and Short-Term Water-Level Changes in the Chicot and Evangeline (Undifferentiated) and Jasper Aquifers, Greater Houston Area, Texas, 2022","title":"Status of water-level altitudes and long-term and short-term water-level changes in the Chicot and Evangeline (undifferentiated) and Jasper aquifers, greater Houston area, Texas, 2022","docAbstract":"

Since the early 1900s, groundwater withdrawn from the primary aquifers that compose the Gulf Coast aquifer system—the Chicot, Evangeline, and Jasper aquifers—has been an important source of water in the greater Houston area, Texas. This report, prepared by the U.S. Geological Survey in cooperation with the Harris-Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District, is one in an annual series of reports depicting the status of water-level altitudes and water-level changes in these aquifers in the greater Houston area.

In this report, the Chicot and Evangeline aquifers are treated as a single hydrogeologic unit for the purposes of providing annual assessments of regional-scale water-level altitudes and changes over time. In 2022, shaded depictions of water-level altitudes for the Chicot and Evangeline aquifers (undifferentiated) ranged from about 270 feet (ft) below the North American Vertical Datum of 1988 (NAVD 88) to about 195 ft above NAVD 88. The largest decline in water-level altitudes indicated by the 1977–2022 long-term water-level-change map was southeast of The Woodlands. In comparison, the 1990–2022 long-term water-level-change map depicts declines in water-level altitudes in localized areas at or near certain wells in parts of northwestern Harris County and southern Montgomery County. The largest rise in water-level altitudes for 1977–2022 was observed in a relatively large area in southeastern Harris County, whereas the largest rise in water-level altitudes for 1990–2022 was observed in a relatively small area in central Harris County. The 5-year short-term water-level-change map depicts the largest declines at three wells in northern Fort Bend County and the largest rises at five wells in southwestern and central Harris County. The 1-year short-term water-level-change map depicts the largest decline at a well in north-central Harris County and the largest rises at a well in north-central Fort Bend County and a well in southwestern Harris County.

In 2022, shaded depictions of water-level altitudes for the Jasper aquifer ranged from about 213 ft below NAVD 88 to about 285 ft above NAVD 88. The 2000–22 long-term water-level-change map depicts water-level declines throughout most of the study area where water-level-measurement data from the aquifer were collected, with the largest decline in north-central Harris County and south-central Montgomery County south of The Woodlands. The 5-year short-term water-level-change map depicts the largest decline at a well in Conroe and the largest rise at a well in south-central Montgomery County. The 1-year short-term water-level-change map depicts the largest decline at a well in south-central Montgomery County east of The Woodlands and the largest rise at a well in Conroe.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235007","collaboration":"Prepared in cooperation with the Harris-Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District","usgsCitation":"Ramage, J.K., and Braun, C.L., 2023, Status of water-level altitudes and long-term and short-term water-level changes in the Chicot and Evangeline (undifferentiated) and Jasper aquifers, greater Houston area, Texas, 2022: U.S. Geological Survey Scientific Investigations Report 2023–5007, 26 p., https://doi.org/10.3133/sir20235007.","productDescription":"Report: v, 26 p.; 2 Data Releases; Dataset","numberOfPages":"36","onlineOnly":"Y","ipdsId":"IP-144568","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":413744,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9F32XDT","text":"USGS data release","linkHelpText":"Groundwater-level altitudes and long-term groundwater-level changes in the Chicot and Evangeline (undifferentiated) and Jasper aquifers, greater Houston area, Texas, 2022"},{"id":413743,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P967ZHTU","text":"USGS data release","linkHelpText":"Depth to groundwater measured from wells completed in the Chicot and Evangeline (undifferentiated) and Jasper aquifers, greater Houston area, Texas, 2022"},{"id":413745,"rank":7,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"},{"id":413736,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5007/sir20235007.XML","text":"Report","linkFileType":{"id":8,"text":"xml"}},{"id":413852,"rank":8,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/sir20235007/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":413730,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5007/coverthb.jpg"},{"id":413735,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5007/sir20235007.pdf","text":"Report","size":"13.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023–5007"},{"id":413742,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5007/images"},{"id":500687,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114444.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","city":"Houston","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -94.20508784641805,\n 29.65321984264439\n ],\n [\n -94.58944610142002,\n 30.08175651239739\n ],\n [\n -95.09460266513673,\n 30.461126573452134\n ],\n [\n -95.76448419528316,\n 30.669153528428893\n ],\n [\n -96.01706247714125,\n 30.57465112178049\n ],\n [\n -96.32454908114292,\n 30.091258611624937\n ],\n [\n -96.14884245028512,\n 29.605491239224605\n ],\n [\n -95.84135584628345,\n 29.098182928087823\n ],\n [\n -95.29227262485227,\n 28.92531664791001\n ],\n [\n -95.0616576718509,\n 28.94453828891595\n ],\n [\n -94.87496937656448,\n 29.126965830599318\n ],\n [\n -94.58944610142002,\n 29.414351031110456\n ],\n [\n -94.19410618198944,\n 29.54818708251109\n ],\n [\n -94.20508784641805,\n 29.65321984264439\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Oklahoma-Texas Water Science Center
U.S. Geological Survey
1505 Ferguson Lane
Austin, TX 78754–4501

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2023-03-07","noUsgsAuthors":false,"publicationDate":"2023-03-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Ramage, Jason K. 0000-0001-8014-2874 jkramage@usgs.gov","orcid":"https://orcid.org/0000-0001-8014-2874","contributorId":3856,"corporation":false,"usgs":true,"family":"Ramage","given":"Jason","email":"jkramage@usgs.gov","middleInitial":"K.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":865747,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Braun, Christopher L. 0000-0002-5540-2854 clbraun@usgs.gov","orcid":"https://orcid.org/0000-0002-5540-2854","contributorId":925,"corporation":false,"usgs":true,"family":"Braun","given":"Christopher","email":"clbraun@usgs.gov","middleInitial":"L.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":865748,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}