{"pageNumber":"45","pageRowStart":"1100","pageSize":"25","recordCount":16445,"records":[{"id":70223197,"text":"sir20205142 - 2021 - Regional regression equations based on channel-width characteristics to estimate peak-flow frequencies at ungaged sites in Montana using peak-flow frequency data through water year 2011","interactions":[],"lastModifiedDate":"2021-09-21T11:36:03.273884","indexId":"sir20205142","displayToPublicDate":"2021-08-19T15:56:48","publicationYear":"2021","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":"2020-5142","displayTitle":"Regional Regression Equations Based on Channel-Width Characteristics to Estimate Peak-Flow Frequencies at Ungaged Sites in Montana Using Peak-Flow Frequency Data through Water Year 2011","title":"Regional regression equations based on channel-width characteristics to estimate peak-flow frequencies at ungaged sites in Montana using peak-flow frequency data through water year 2011","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Montana Department of Transportation, developed regression equations based on channel width to estimate peak-flow frequencies at ungaged sites in Montana. The equations are based on peak-flow data at streamgages through September 2011 (end of water year 2011), and channel widths measured in the field and from aerial photographs.</p><p>Active-channel width and bankfull width (channel widths) were measured in the field at 64 sites across Montana in 2017. Channel widths also were measured near 515 streamgages from aerial photographs. These new channel-width data, along with more than 438 historical channel-width measurements, are published in a separate data release.</p><p>Regression equations were developed using generalized least squares regression or weighted least squares regression. The channel-width regression equations can be used to estimate peak-flow frequencies (peak-flow magnitudes associated with annual exceedance probabilities of 66.7, 50, 42.9, 20, 10, 4, 2, 1, 0.5, and 0.2 percent) at ungaged sites in each of the eight hydrologic regions in Montana. Methods are presented for weighting estimates from the channel-width equations with estimates from equations using basin characteristics. The weighting technique can be used to reduce the standard error of prediction relative to that obtained using a single method. Several example problems covering a range of estimation scenarios also are included.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205142","collaboration":"Prepared in cooperation with Montana Department of Transportation","usgsCitation":"Chase, K.J., Sando, R., Armstrong, D.W., and McCarthy, P., 2021, Regional regression equations based on channel-width characteristics to estimate peak-flow frequencies at ungaged sites in Montana using peak-flow frequency data through water year 2011 (ver. 1.1, September 2021): U.S. Geological Survey Scientific Investigations Report 2020–5142, 49 p., https://doi.org/10.3133/sir20205142.","productDescription":"Report: vi, 49 p.; Data Release; Dataset; Version History","numberOfPages":"56","onlineOnly":"Y","ipdsId":"IP-102009","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":436235,"rank":6,"type":{"id":30,"text":"Data 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 \"}}]}","edition":"Version 1.0: August 19, 2021; Version 1.1: September 20, 2021","contact":"<p><a data-mce-href=\"mailto:%20dc_mt@usgs.gov\" href=\"mailto:%20dc_mt@usgs.gov\">Director</a>, <a data-mce-href=\"https://www.usgs.gov/centers/wy-mt-water/\" href=\"https://www.usgs.gov/centers/wy-mt-water/\">Wyoming-Montana Water Science Center</a> <br>U.S. Geological Survey<br>3162 Bozeman Avenue <br>Helena, MT 59601</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Measurements of Channel Widths at Selected Streamgage Locations</li><li>Regional Regression Analysis</li><li>How to Use this Information</li><li>Examples of Estimating Peak-Flow Frequencies at Ungaged Sites</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2021-08-19","revisedDate":"2021-09-20","noUsgsAuthors":false,"publicationDate":"2021-08-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Chase, Katherine J. 0000-0002-5796-4148 kchase@usgs.gov","orcid":"https://orcid.org/0000-0002-5796-4148","contributorId":454,"corporation":false,"usgs":true,"family":"Chase","given":"Katherine","email":"kchase@usgs.gov","middleInitial":"J.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":821366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sando, Roy 0000-0003-0704-6258","orcid":"https://orcid.org/0000-0003-0704-6258","contributorId":3874,"corporation":false,"usgs":true,"family":"Sando","given":"Roy","email":"","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":821367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Armstrong, Daniel W. 0000-0001-9816-1002 darmstrong@usgs.gov","orcid":"https://orcid.org/0000-0001-9816-1002","contributorId":264331,"corporation":false,"usgs":true,"family":"Armstrong","given":"Daniel","email":"darmstrong@usgs.gov","middleInitial":"W.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":821368,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCarthy, Peter 0000-0002-2396-7463 pmccarth@usgs.gov","orcid":"https://orcid.org/0000-0002-2396-7463","contributorId":2504,"corporation":false,"usgs":true,"family":"McCarthy","given":"Peter","email":"pmccarth@usgs.gov","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":821369,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70224260,"text":"70224260 - 2021 - Uncertainty in remote sensing of streams using noncontact radars","interactions":[],"lastModifiedDate":"2021-09-16T12:24:09.908889","indexId":"70224260","displayToPublicDate":"2021-08-13T07:20:55","publicationYear":"2021","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":"Uncertainty in remote sensing of streams using noncontact radars","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\" lang=\"en\"><div id=\"as010\"><p id=\"sp0010\">Accounting for freshwater resources and monitoring floods are vital functions for societies throughout the world. Remote-sensing methods offer great prospects to expand stream monitoring in developing countries and to smaller, headwater streams that are largely ungauged worldwide. This study evaluates the potential to estimate discharge using eight radar units that have been installed over streams in diverse hydrologic and hydraulic settings across the United States. The research highlights error characteristics associated with the measurements of stage using pulsed wave radars, mean channel velocity from continuous wave Doppler radars, and their combined use to estimate discharge at sites that were collocated with conventional streamgauges. Potential stage biases caused by the thermal expansion and contraction of supporting structures due to diurnal temperature changes were examined. A dry concrete, flume showed the temperature-dependent stage variations were no more than 2&nbsp;cm. Surface velocity retrievals needed to be adjusted to represent the mean channel velocity when estimating discharge. Different approaches were evaluated and application of two different, depth-dependent adjustment factors was found to yield the most accurate estimates. This study found that it is possible to get accurate discharge estimates from noncontact radar measurements, providing cost-effective solutions for remote sensing of ungauged streams. Lastly, radar measurements of the raw variables (i.e., stage and surface velocity) can be used in an early alerting context to detect flash floods in ungauged streams.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2021.126809","usgsCitation":"Khan, M.R., Gourley, J.J., Duarte, J., Vergara, H., Wasielewski, D., Ayral, P., and Fulton, J.W., 2021, Uncertainty in remote sensing of streams using noncontact radars: Journal of Hydrology, v. 603, no. A, 126809, 16 p., https://doi.org/10.1016/j.jhydrol.2021.126809.","productDescription":"126809, 16 p.","ipdsId":"IP-127286","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":451191,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2021.126809","text":"Publisher Index Page"},{"id":389329,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, Oklahoma, Texas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -98.26171875,\n              29.53522956294847\n            ],\n            [\n              -97.03125,\n              29.53522956294847\n            ],\n       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     ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"603","issue":"A","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Khan, Mushfiqur Rahman","contributorId":265787,"corporation":false,"usgs":false,"family":"Khan","given":"Mushfiqur","email":"","middleInitial":"Rahman","affiliations":[{"id":54795,"text":"School of Civil Engineering and Environmental Science, University of Oklahoma","active":true,"usgs":false}],"preferred":false,"id":823380,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gourley, Jonathan J 0000-0001-7363-3755","orcid":"https://orcid.org/0000-0001-7363-3755","contributorId":225540,"corporation":false,"usgs":false,"family":"Gourley","given":"Jonathan","email":"","middleInitial":"J","affiliations":[{"id":41158,"text":"NOAA/OAR/National Severe Storms Laboratory, Norman, OK, USA 73072","active":true,"usgs":false}],"preferred":false,"id":823381,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duarte, Jorge","contributorId":265788,"corporation":false,"usgs":false,"family":"Duarte","given":"Jorge","email":"","affiliations":[{"id":54797,"text":"NOAA/National Severe Storms Laboratory","active":true,"usgs":false}],"preferred":false,"id":823382,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vergara, Humberto","contributorId":225541,"corporation":false,"usgs":false,"family":"Vergara","given":"Humberto","email":"","affiliations":[{"id":41159,"text":"Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, OK, USA 73072","active":true,"usgs":false}],"preferred":false,"id":823383,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wasielewski, Daniel","contributorId":265789,"corporation":false,"usgs":false,"family":"Wasielewski","given":"Daniel","affiliations":[{"id":54797,"text":"NOAA/National Severe Storms Laboratory","active":true,"usgs":false}],"preferred":false,"id":823384,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ayral, Pierre-Alain","contributorId":265790,"corporation":false,"usgs":false,"family":"Ayral","given":"Pierre-Alain","email":"","affiliations":[{"id":54798,"text":"Hydrosciences Montpellier, University of Montpellier","active":true,"usgs":false}],"preferred":false,"id":823385,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fulton, John W, 0000-0002-5335-0720","orcid":"https://orcid.org/0000-0002-5335-0720","contributorId":213630,"corporation":false,"usgs":true,"family":"Fulton","given":"John","middleInitial":"W,","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":823386,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70226570,"text":"70226570 - 2021 - Tandem field and laboratory approaches to quantify attenuation mechanisms of pharmaceutical and pharmaceutical transformation products in a wastewater effluent-dominated stream","interactions":[],"lastModifiedDate":"2021-11-29T12:54:51.469752","indexId":"70226570","displayToPublicDate":"2021-08-10T06:53:46","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Tandem field and laboratory approaches to quantify attenuation mechanisms of pharmaceutical and pharmaceutical transformation products in a wastewater effluent-dominated stream","docAbstract":"<div id=\"abs0002\" class=\"abstract author\"><div id=\"abss0002\"><p id=\"spara005\">Evolving complex mixtures of pharmaceuticals and transformation products in effluent-dominated streams pose potential impacts to aquatic species; thus, understanding the attenuation dynamics in the field and characterizing the prominent attenuation mechanisms of pharmaceuticals and their transformation products (TPs) is critical for hazard assessments. Herein, we determined the attenuation dynamics and the associated prominent mechanisms of pharmaceuticals and their corresponding TPs via a combined long-term field study and controlled laboratory experiments. For the field study, we quantified spatiotemporal exposure concentrations of five pharmaceuticals and six associated TPs in a small, temperate-region effluent-dominated stream during baseflow conditions where the wastewater plant was the main source of pharmaceuticals. We selected four sites (upstream, at, and two progressively downstream from effluent discharge) and collected water samples at 16 time points (64 samples in total, approximately twice monthly, depending on flows) for 1 year. Concurrently, we conducted photolysis, sorption, and biodegradation batch tests under controlled conditions to determine the major attenuation mechanisms. We observed 10-fold greater attenuation rates in the field compared to batch tests, demonstrating that connecting laboratory batch tests with field measurements to enhance predictive power is a critical need. Batch systems alone, often used for assessment, are useful for determining fate processes but poorly approximate in-stream attenuation kinetics. Sorption was the dominant attenuation process (t<sub>1/2</sub>&lt;7.7 d) for 5 of 11 compounds in the batch tests, while the other compounds (<i>n</i>&nbsp;=&nbsp;6) persisted in the batch tests and along the 5.1&nbsp;km stream reach. In-stream parent-to-product transformation was minimal. Differential attenuation contributed to the evolving pharmaceutical mixture and created changing exposure conditions with concomitant implications for aquatic and terrestrial biota. Tandem field and laboratory characterization can better inform modeling efforts for transport and risk assessments.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2021.117537","usgsCitation":"Zhi, H., Mianecki, A.L., Kolpin, D., Klaper, R.D., Iwanowicz, L., and LeFevre, G.H., 2021, Tandem field and laboratory approaches to quantify attenuation mechanisms of pharmaceutical and pharmaceutical transformation products in a wastewater effluent-dominated stream: Water Research, v. 203, 117537, 10 p., https://doi.org/10.1016/j.watres.2021.117537.","productDescription":"117537, 10 p.","ipdsId":"IP-124512","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":451233,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12424012/","text":"Publisher Index Page"},{"id":392181,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"203","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zhi, Hui","contributorId":225502,"corporation":false,"usgs":false,"family":"Zhi","given":"Hui","email":"","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":827369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mianecki, Alyssa L","contributorId":269532,"corporation":false,"usgs":false,"family":"Mianecki","given":"Alyssa","email":"","middleInitial":"L","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":827370,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kolpin, Dana W. 0000-0002-3529-6505","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":204154,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana W.","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":827371,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klaper, Rebecca D.","contributorId":218114,"corporation":false,"usgs":false,"family":"Klaper","given":"Rebecca","email":"","middleInitial":"D.","affiliations":[{"id":18038,"text":"University of Wisconsin, Milwaukee","active":true,"usgs":false}],"preferred":false,"id":827372,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":79382,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":827373,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"LeFevre, Gregory H.","contributorId":211880,"corporation":false,"usgs":false,"family":"LeFevre","given":"Gregory","email":"","middleInitial":"H.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":true,"id":827374,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70223255,"text":"70223255 - 2021 - Post-wildfire hydrologic recovery in Mediterranean climates: A systematic review and case study to identify current knowledge and opportunities","interactions":[],"lastModifiedDate":"2021-08-19T16:18:58.013126","indexId":"70223255","displayToPublicDate":"2021-08-02T11:17:10","publicationYear":"2021","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":"Post-wildfire hydrologic recovery in Mediterranean climates: A systematic review and case study to identify current knowledge and opportunities","docAbstract":"<p><span>Post-fire hydrologic research typically focuses on the first few years after a&nbsp;</span><a class=\"topic-link\" title=\"Learn more about wildfire from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/wildfires\" data-mce-href=\"https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/wildfires\">wildfire</a><span>, leading to substantial uncertainty regarding the longevity of impacts. The time needed for hydrologic function to return to pre-fire conditions is critical information for post-fire land and water management decisions. This is particularly true in&nbsp;<a class=\"topic-link\" title=\"Learn more about Mediterranean climates from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/mediterranean-climate\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/mediterranean-climate\">Mediterranean climates</a>, where water is scarce and in high demand, and the severity and area burned by wildfires are increasing. In part, uncertainty about hydrologic recovery is due to lack of a consistent definition or interpretation of what constitutes “recovery.” Here, we systematically reviewed empirical studies from Mediterranean climates with at least three years of post-fire&nbsp;<a class=\"topic-link\" title=\"Learn more about hydrologic data from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/hydrologic-data\" data-mce-href=\"https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/hydrologic-data\">hydrologic data</a>&nbsp;with the objectives of (a) assessing the recovery period, (b) identifying a definition of post-fire hydrologic recovery, (c) demonstrating a simple analytical approach to aid in assessment of recovery, and (d) outlining research needs and opportunities to better quantify post-fire recovery. We assessed the hydrologic effects reported in 38 sites that were monitored for 3–20&nbsp;years. Eighteen sites were considered recovered within seven years; however, the recovery time was inconsistent across sites and was not related to location, response variable, or study design. The likelihood of recovery within the study period also decreased with increasing proportion of the watershed area burned. Importantly, we have also proposed a standardized definition and an approach to quantifying hydrologic recovery that may facilitate cross-study comparisons and a deeper understanding of recovery. Specifically, we propose hydrologic recovery has occurred when a specific post-fire hydrologic function or condition of interest returns to the 95% confidence interval of the pre-fire condition. In support of this definition, we have demonstrated applying this simple approach to assess recovery and presented future research topics to improve our understanding of long-term post-fire catchment responses. In addition to the need for more studies that quantify hydrologic responses farther into the post-fire period, understanding post-fire changes in soil structural and hydraulic properties through time will improve our mechanistic understanding of post-fire hydrologic responses and recovery.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2021.126772","usgsCitation":"Wagenbrenner, J.W., Ebel, B., Bladon, K.D., and Kinoshita, A.M., 2021, Post-wildfire hydrologic recovery in Mediterranean climates: A systematic review and case study to identify current knowledge and opportunities: Journal of Hydrology, v. 602, 126772, 16 p., https://doi.org/10.1016/j.jhydrol.2021.126772.","productDescription":"126772, 16 p.","ipdsId":"IP-105958","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":451295,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2021.126772","text":"Publisher Index Page"},{"id":388160,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"602","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wagenbrenner, Joseph W. 0000-0003-3317-5141","orcid":"https://orcid.org/0000-0003-3317-5141","contributorId":264444,"corporation":false,"usgs":false,"family":"Wagenbrenner","given":"Joseph","email":"","middleInitial":"W.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":821535,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ebel, Brian A. 0000-0002-5413-3963","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":211845,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":821536,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bladon, Kevin D. 0000-0002-4182-6883","orcid":"https://orcid.org/0000-0002-4182-6883","contributorId":264447,"corporation":false,"usgs":false,"family":"Bladon","given":"Kevin","email":"","middleInitial":"D.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":821537,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kinoshita, Alicia M.","contributorId":245287,"corporation":false,"usgs":false,"family":"Kinoshita","given":"Alicia","email":"","middleInitial":"M.","affiliations":[{"id":49134,"text":"San Diego State University, California","active":true,"usgs":false}],"preferred":false,"id":821538,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70228721,"text":"70228721 - 2021 - Freshwater inflow and responses from estuaries across a climatic gradient: An assessment of northwestern Gulf of Mexico estuaries based on stable isotopes","interactions":[],"lastModifiedDate":"2022-02-17T15:46:16.768197","indexId":"70228721","displayToPublicDate":"2021-08-02T09:38:37","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Freshwater inflow and responses from estuaries across a climatic gradient: An assessment of northwestern Gulf of Mexico estuaries based on stable isotopes","docAbstract":"<p><span>Estuaries exist across a large climatic gradient in the northwestern Gulf of Mexico, capturing a range of hydrologic conditions and estuarine functioning. We examined freshwater inflow, salinity, and stable isotope compositions (δ</span><sup>13</sup><span>C, δ</span><sup>15</sup><span>N) of oysters, suspended particulate organic matter (SPOM), and surface sediment organic matter (SSOM) from five estuaries across the hydrologic gradient. All five estuaries experienced large decreases in freshwater inflow over the last 40 yr, with three estuaries being subject to freshwater inflow reductions of more than 85%. Generally, these freshwater inflow decreases were associated with estuarine salinity increases. Across the spatial gradient, average salinity generally increased from northeast to southwest estuaries. SPOM in the northeastern, lower salinity estuaries generally contained more continental organic matter and was of higher quality (i.e., lower C/chlorophyll&nbsp;</span><i>a</i><span>&nbsp;ratio), as compared to southwestern, higher salinity estuaries. Similarly, both SSOM and oyster δ</span><sup>13</sup><span>C values were positively correlated with salinity, further highlighting that food webs in lower salinity estuaries are more greatly influenced by continental organic matter than those in higher salinity estuaries. A decrease in the connectivity between continental and coastal habitats may have broad consequences for flows of organic matter, and estuarine function and health. Conducting studies across large-scale hydrologic gradients can provide a useful approach to informing and predicting shifts in estuarine functioning.</span></p>","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lno.11899","usgsCitation":"Marshall, D.A., La Peyre, M., Palmer, T.A., Guillou, G., Sterba-Boatwright, B., Beseres Pollack, J., and Lebreton, B., 2021, Freshwater inflow and responses from estuaries across a climatic gradient: An assessment of northwestern Gulf of Mexico estuaries based on stable isotopes: Limnology and Oceanography, v. 66, no. 9, p. 3568-3581, https://doi.org/10.1002/lno.11899.","productDescription":"14 p.","startPage":"3568","endPage":"3581","ipdsId":"IP-113690","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":396103,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana, Texas","otherGeospatial":"northern Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -98.4375,\n              26.27371402440643\n            ],\n            [\n              -92.021484375,\n              26.27371402440643\n            ],\n            [\n              -92.021484375,\n              30.637912028341123\n            ],\n            [\n              -98.4375,\n              30.637912028341123\n            ],\n            [\n              -98.4375,\n              26.27371402440643\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"66","issue":"9","noUsgsAuthors":false,"publicationDate":"2021-08-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Marshall, D. A.","contributorId":279600,"corporation":false,"usgs":false,"family":"Marshall","given":"D.","email":"","middleInitial":"A.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":835195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":835196,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Palmer, Terrence A.","contributorId":279657,"corporation":false,"usgs":false,"family":"Palmer","given":"Terrence","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":835284,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guillou, Gael","contributorId":279658,"corporation":false,"usgs":false,"family":"Guillou","given":"Gael","email":"","affiliations":[],"preferred":false,"id":835285,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sterba-Boatwright, Blair","contributorId":98866,"corporation":false,"usgs":true,"family":"Sterba-Boatwright","given":"Blair","email":"","affiliations":[],"preferred":false,"id":835286,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beseres Pollack, Jennifer","contributorId":258317,"corporation":false,"usgs":false,"family":"Beseres Pollack","given":"Jennifer","email":"","affiliations":[{"id":52274,"text":"Harte Research Institute for Gulf of Mexico Studies","active":true,"usgs":false}],"preferred":false,"id":835197,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lebreton, B.","contributorId":279601,"corporation":false,"usgs":false,"family":"Lebreton","given":"B.","email":"","affiliations":[{"id":57312,"text":"University of La Rochelle","active":true,"usgs":false}],"preferred":false,"id":835198,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70247897,"text":"70247897 - 2021 - Projected changes of regional lake hydrologic characteristics in response to 21st century climate change","interactions":[],"lastModifiedDate":"2023-08-23T12:05:52.264045","indexId":"70247897","displayToPublicDate":"2021-08-02T07:01:52","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1999,"text":"Inland Waters","active":true,"publicationSubtype":{"id":10}},"title":"Projected changes of regional lake hydrologic characteristics in response to 21st century climate change","docAbstract":"<div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>Inland lakes are socially and ecologically important components of many regional landscapes. Exploring lake responses to plausible future climate scenarios can provide important information needed to inform stakeholders of likely effects of hydrologic changes on these waterbodies in coming decades. To assess potential climate effects on lake hydrology, we combined a previously published spatially explicit, processed-based hydrologic modeling framework implemented over the lake-rich landscape of the Northern Highlands Lake District within the United States with an ensemble of climate change scenarios for the 2050s (2041–2070) and 2080s (2071–2100). Model results quantify the effects of climate change on water budgets and lake stage elevations for 3692 lakes and highlight the importance of landscape and hydrologic setting for the response of specific lake types to climate change. All future climate projections resulted in loss of ice cover and snowpack as well as increased evaporation, but variability in climate projections (warmer conditions, wet winters combined with wet or dry summers) interacted with lake characteristics and landscape position to produce variable lake hydrologic changes. Water levels for drainage lakes (lakes with substantial surface water inflows and outflows) showed nearly no change, whereas minimum water levels for seepage lakes (minimal surface water fluxes) decreased by an average of up to 2.64 m by the end of the 21st century. Our physically based modeling approach is parsimonious and computationally efficient and can be applied to other lake-rich regions to investigate interregional variability in lake hydrologic response to future climate scenarios.</p></div></div>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/20442041.2021.1924538","usgsCitation":"Hanson, Z.J., Zwart, J.A., Jones, S.E., Hamlet, A.F., and Bolster, D., 2021, Projected changes of regional lake hydrologic characteristics in response to 21st century climate change: Inland Waters, v. 11, no. 3, p. 335-350, https://doi.org/10.1080/20442041.2021.1924538.","productDescription":"16 p.","startPage":"335","endPage":"350","ipdsId":"IP-118568","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":451305,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/20442041.2021.1924538","text":"Publisher Index Page"},{"id":420067,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Wisconsin","otherGeospatial":"Northern Highlands Lake District","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -90.31532812588793,\n              46.584874002109274\n            ],\n            [\n              -90.31532812588793,\n              45.340673519750055\n            ],\n            [\n              -88.55826949680751,\n              45.340673519750055\n            ],\n            [\n              -88.55826949680751,\n              46.584874002109274\n            ],\n            [\n              -90.31532812588793,\n              46.584874002109274\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"11","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-08-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Hanson, Zachary J.","contributorId":328657,"corporation":false,"usgs":false,"family":"Hanson","given":"Zachary","email":"","middleInitial":"J.","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":880913,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zwart, Jacob Aaron 0000-0002-3870-405X","orcid":"https://orcid.org/0000-0002-3870-405X","contributorId":237809,"corporation":false,"usgs":true,"family":"Zwart","given":"Jacob","email":"","middleInitial":"Aaron","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":880914,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Stuart E.","contributorId":203400,"corporation":false,"usgs":false,"family":"Jones","given":"Stuart","email":"","middleInitial":"E.","affiliations":[{"id":36611,"text":"Notre Dame","active":true,"usgs":false}],"preferred":false,"id":880915,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hamlet, Alan F.","contributorId":266168,"corporation":false,"usgs":false,"family":"Hamlet","given":"Alan","email":"","middleInitial":"F.","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":880916,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bolster, Diogo","contributorId":266171,"corporation":false,"usgs":false,"family":"Bolster","given":"Diogo","email":"","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":880917,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70239054,"text":"70239054 - 2021 - A seasonally dynamic model of light at the stream surface","interactions":[],"lastModifiedDate":"2022-12-22T12:39:17.474564","indexId":"70239054","displayToPublicDate":"2021-07-30T06:36:15","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"A seasonally dynamic model of light at the stream surface","docAbstract":"<div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>Light is a primary constraint on primary production and drives many ecological processes in stream ecosystems, yet light regimes have received considerably less attention than other factors of the stream environment, such as hydrology or nutrient cycling. Light received by streams can be highly heterogeneous in both space and time resulting from changes in topography, channel characteristics, and riparian vegetation. Both the structure and phenology of riparian vegetation can be important determinants of the seasonality and magnitude of light reaching the stream surface, particularly in smaller forested streams. Despite the importance of riparian phenology on temporal patterns of stream light availability, existing models do not account for the seasonal dynamics of canopies. We developed a dynamic, biophysically based model (<i>StreamLight</i>) that incorporates canopy structure and phenology to predict light reaching the stream surface. We compared<span>&nbsp;</span><i>StreamLight</i><span>&nbsp;</span>to an existing model at 21 sites across the USA and found that, across sites, our biophysically based model produced light estimates that were more strongly correlated to observations and reduced the magnitude of errors in comparison to the existing model, particularly for streams that were relatively narrow compared to the height of riparian vegetation. Because smaller streams represent most global stream length, we expect that, in many smaller forested streams, the inclusion of canopy structure and phenology will enhance our ability to predict light regimes. We also used model simulations to examine the importance of controls on stream light environments and found that channel width was the strongest control on light environments.<span>&nbsp;</span><i>StreamLight</i><span>&nbsp;</span>represents an important incremental step forward in developing mechanistic models of river network productivity and in linking shifts in terrestrial vegetation structure and phenology to aquatic ecosystem productivity and thermal regimes.</p></div></div>","language":"English","publisher":"University of Chicago Press","doi":"10.1086/714270","usgsCitation":"Savoy, P., Bernhardt, E.S., Kirk, L., Cohen, M.J., and Heffernan, J.B., 2021, A seasonally dynamic model of light at the stream surface: Freshwater Science, v. 40, no. 2, p. 286-301, https://doi.org/10.1086/714270.","productDescription":"16 p.","startPage":"286","endPage":"301","ipdsId":"IP-115064","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":451342,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1086/714270","text":"Publisher Index Page"},{"id":410920,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Savoy, Philip 0000-0002-6075-837X","orcid":"https://orcid.org/0000-0002-6075-837X","contributorId":300288,"corporation":false,"usgs":true,"family":"Savoy","given":"Philip","email":"","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":859858,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bernhardt, Emily. S","contributorId":300289,"corporation":false,"usgs":false,"family":"Bernhardt","given":"Emily.","email":"","middleInitial":"S","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":859859,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kirk, Lily","contributorId":300290,"corporation":false,"usgs":false,"family":"Kirk","given":"Lily","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":859860,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cohen, Matthew J.","contributorId":138990,"corporation":false,"usgs":false,"family":"Cohen","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":859861,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heffernan, James B. 0000-0001-7641-9949","orcid":"https://orcid.org/0000-0001-7641-9949","contributorId":211189,"corporation":false,"usgs":false,"family":"Heffernan","given":"James","email":"","middleInitial":"B.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":859862,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70236257,"text":"70236257 - 2021 - Pervasive changes in stream intermittency across the United States","interactions":[],"lastModifiedDate":"2022-08-31T12:19:33.492653","indexId":"70236257","displayToPublicDate":"2021-07-29T07:11:28","publicationYear":"2021","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":"Pervasive changes in stream intermittency across the United States","docAbstract":"<div class=\"article-text wd-jnl-art-abstract cf\"><p>Non-perennial streams are widespread, critical to ecosystems and society, and the subject of ongoing policy debate. Prior large-scale research on stream intermittency has been based on long-term averages, generally using annually aggregated data to characterize a highly variable process. As a result, it is not well understood if, how, or why the hydrology of non-perennial streams is changing. Here, we investigate trends and drivers of three intermittency signatures that describe the duration, timing, and dry-down period of stream intermittency across the continental United States (CONUS). Half of gages exhibited a significant trend through time in at least one of the three intermittency signatures, and changes in no-flow duration were most pervasive (41% of gages). Changes in intermittency were substantial for many streams, and 7% of gages exhibited changes in annual no-flow duration exceeding 100 days during the study period. Distinct regional patterns of change were evident, with widespread drying in southern CONUS and wetting in northern CONUS. These patterns are correlated with changes in aridity, though drivers of spatiotemporal variability were diverse across the three intermittency signatures. While the no-flow timing and duration were strongly related to climate, dry-down period was most strongly related to watershed land use and physiography. Our results indicate that non-perennial conditions are increasing in prevalence over much of CONUS and binary classifications of 'perennial' and 'non-perennial' are not an accurate reflection of this change. Water management and policy should reflect the changing nature and diverse drivers of changing intermittency both today and in the future.</p></div>","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/ac14ec","usgsCitation":"Zipper, S., Hammond, J., Shanafield, M., Zimmer, M., Datry, T., Jones, C.N., Kaiser, K.E., Godsey, S., Burrow, R., Blaszczak, J., Busch, M., Price, A.N., Boersma, K., Ward, A., Costigan, K., Allen, G.H., Krabbenhoft, C., Dodds, W., Mims, M.C., Olden, J., Kampf, S.K., Burgin, A.J., and Allen, D., 2021, Pervasive changes in stream intermittency across the United States: Environmental Research Letters, v. 16, no. 8, 084033, 17 p., https://doi.org/10.1088/1748-9326/ac14ec.","productDescription":"084033, 17 p.","ipdsId":"IP-126458","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":451371,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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0000-0002-0451-0564","orcid":"https://orcid.org/0000-0002-0451-0564","contributorId":225169,"corporation":false,"usgs":false,"family":"Allen","given":"Daniel","middleInitial":"C.","affiliations":[{"id":41064,"text":"Department of Biology, University of Oklahoma, Norman OK, 73019","active":true,"usgs":false}],"preferred":false,"id":850469,"contributorType":{"id":1,"text":"Authors"},"rank":23}]}}
,{"id":70221880,"text":"sir20215063 - 2021 - Peak-flow variability, peak-flow informational needs, and consideration of regional regression analyses in managing the crest-stage gage network in Montana","interactions":[],"lastModifiedDate":"2021-07-30T11:51:22.105534","indexId":"sir20215063","displayToPublicDate":"2021-07-28T11:59:19","publicationYear":"2021","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":"2021-5063","displayTitle":"Peak-Flow Variability, Peak-Flow Informational Needs, and Consideration of Regional Regression Analyses in Managing the Crest-Stage Gage Network in Montana","title":"Peak-flow variability, peak-flow informational needs, and consideration of regional regression analyses in managing the crest-stage gage network in Montana","docAbstract":"<p>The U.S. Geological Survey (USGS), in cooperation with the Montana Department of Transportation (MDT), has operated a crest-stage gage (CSG) network in Montana to collect peak-flow data since 1955. The CSG network is vital to collecting peak-flow data on small drainage basins that typically are not addressed by continuous streamflow operations. Discussions between USGS and MDT identified a need for evaluating the CSG network to allow for better decision making in the management of the network. The purpose of this report is to (1) generally describe peak-flow variability in Montana, (2) assess peak-flow informational needs relevant to MDT activities, and (3) consider the characteristics of the active CSG network in relation to addressing the informational needs. The evaluation of the CSG network is intended to assist in prioritization for discontinuation of CSGs and other activities involving changes to the CSG network.</p><p>Peak-flow variability was investigated by analysis of selected peak-flow characteristics of 659 unregulated streamgages in or near Montana. A generalized peak-flow variability index (<i>PFVI</i>) was developed to provide large-scale representation of peak-flow variability in Montana. For unregulated Montana streamgages, <i>PFVI</i> generally monotonically decreases with increasing drainage area, although there is somewhat large (but generally consistent) variability about the locally weighted scatterplot smooth line. Presumably, highly variable small-scale hydroclimatic processes are integrated with increasing drainage area such that variability in many hydrologic characteristics is reduced. <i>PFVI</i> also decreases with increasing mean basin elevation and mean annual precipitation. Presumably, higher elevation and wetter hydroclimatic settings in Montana contribute to reduced variability in hydrologic characteristics. Intuitively, <i>PFVI</i> might be expected to generally decrease with increasing years of record because the standard deviation might typically be expected to decrease with increasing sample size. However, relations among <i>PFVI</i> and years of record are more complex and variable than drainage area, elevation, and precipitation. <i>PFVI</i> variably increases from 10 to about 40 years of record and then generally monotonically decreases from about 40 to about 105 years of record. Relations among <i>PFVI</i> and the years of record might be confounded by effects of drainage area because streamgages with long periods of record (greater than about 60 years) generally have large drainage areas (greater than about 100 square miles).</p><p>The relations between <i>PFVI</i> and drainage area, mean basin elevation, mean annual precipitation, and years of record substantially differ among the eight hydrologic regions in Montana. As such, the <i>PFVI</i> relations were further investigated within each hydrologic region.</p><p>A major use of peak-flow information by MDT is for design of road and highway infrastructure, including bridges, culverts, and roadside drainage ditches. As such, basin characteristics (including drainage area, mean basin elevation, and mean annual precipitation) of the Montana streamgage network (735 regulated and unregulated streamgages) were statistically investigated in relation to basin characteristics of 12,639 road and stream intersections in Montana. Both regulated and unregulated streamgages were investigated because the road and stream intersections are on both regulated and unregulated streams. Exploratory analyses indicated that the various relations substantially differ among the hydrologic regions. As such, the relations between the Montana streamgage network and the road and stream intersections were further investigated within each hydrologic region.</p><p>An important objective of the CSG network is to provide data for developing regional regression equations (RREs) for estimating frequencies at ungaged sites in Montana. Various characteristics of the RREs substantially differ among the eight hydrologic regions in Montana. As such, the RRE characteristics were further investigated within each hydrologic region.</p><p>For each of the eight hydrologic regions, various characteristics of peak-flow variability, peak-flow informational needs, and regional regression analyses were investigated in detail. Possible shortcomings of the streamgage network in each hydrologic region are identified and possible future improvements to the CSG network are presented.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215063","collaboration":"Prepared in cooperation with the Montana Department of Transportation","usgsCitation":"Sando, S.K., 2021, Peak-flow variability, peak-flow informational needs, and consideration of regional regression analyses in managing the crest-stage gage network in Montana: U.S. Geological Survey Scientific Investigations Report 2021–5063, 124 p., https://doi.org/10.3133/sir20215063.","productDescription":"Report: x, 124 p.; Data Release; Dataset","numberOfPages":"138","onlineOnly":"Y","ipdsId":"IP-121407","costCenters":[{"id":5050,"text":"WY-MT Water Science 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 \"}}]}","contact":"<p><a data-mce-href=\"mailto:%20dc_mt@usgs.gov\" href=\"mailto:%20dc_mt@usgs.gov\">Director</a>, <a data-mce-href=\"https://www.usgs.gov/centers/wy-mt-water/\" href=\"https://www.usgs.gov/centers/wy-mt-water/\">Wyoming-Montana Water Science Center</a> <br>U.S. Geological Survey<br>3162 Bozeman Avenue <br>Helena, MT 59601 </p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Peak-Flow Variability in Montana</li><li>General Characterization of Peak-Flow Informational Needs in Montana</li><li>Consideration of Regional Regression Analyses in Managing the Crest-Stage Gage Network</li><li>Description of Peak-Flow Variability and Peak-Flow Informational Needs, and Consideration of Regional Regression Analyses by Hydrologic Region</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2021-07-28","noUsgsAuthors":false,"publicationDate":"2021-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Sando, Steven K. 0000-0003-1206-1030","orcid":"https://orcid.org/0000-0003-1206-1030","contributorId":203451,"corporation":false,"usgs":true,"family":"Sando","given":"Steven","email":"","middleInitial":"K.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":819190,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70222467,"text":"70222467 - 2021 - Timing and hydrological conditions associated with bigheaded carp movement past navigation dams on the upper Mississippi river","interactions":[],"lastModifiedDate":"2021-10-18T14:20:02.027547","indexId":"70222467","displayToPublicDate":"2021-07-28T08:40:45","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Timing and hydrological conditions associated with bigheaded carp movement past navigation dams on the upper Mississippi river","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>As the range of non-native bigheaded carps (<i>Hypophthalmichthys</i><span>&nbsp;</span>spp.) continues to expand throughout river systems of the United States, managers are tasked with preventing or slowing the spread of these invasive species. Main stem navigation dams on the upper Mississippi River, long considered a deterrent to fish migration, may slow or prevent the spread of invasive fish species. As discharge increases, hydraulic head (i.e., difference between upstream elevation and downstream elevation) at these navigation dams decreases, which is believed to allow for easier fish passage. We used acoustic telemetry to investigate the occurrence, frequency, and timing of bigheaded carp passage of upper Mississippi River dams, along with factors related to successful dam passage. During 2013 through 2017, adult silver carp (<i>H. molitrix</i>), bighead carp (<i>H. nobilis</i>) and their hybrids (N = 358) were tracked throughout the upper Mississippi River. A total of 1078 dam passages by bigheaded carps (N = 158) were observed past 15 dams. Seventy-eight percent of dam passages occurred during April through July. Cox proportional hazards regression models indicated that both upstream and downstream dam passages by these species were strongly affected by hydraulic head height at the dam and water temperature, with dam passages increasing as hydraulic head decreased and water temperature increased. A few dams rarely experience low hydraulic head and passages of those dams by bigheaded carps were rare. This information can be used by managers to develop strategies (e.g., placement of deterrent technologies, targeted removal efforts) to slow the spread of these invasive species.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10530-021-02583-8","usgsCitation":"Vallazza, J.M., Mosel, K.J., Reineke, D.M., Runstrom, A.L., Larson, J.H., and Knights, B.C., 2021, Timing and hydrological conditions associated with bigheaded carp movement past navigation dams on the upper Mississippi river: Biological Invasions, v. 23, p. 3409-3425, https://doi.org/10.1007/s10530-021-02583-8.","productDescription":"17 p.","startPage":"3409","endPage":"3425","ipdsId":"IP-113126","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":436260,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BVCVV2","text":"USGS data release","linkHelpText":"Data for dam passage analysis of bigheaded carps in Pools 15-19 of the upper Mississippi River during 2014-2017"},{"id":387588,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Missouri, Wisconsin","otherGeospatial":"Upper Mississippi River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.82421875,\n              38.47939467327645\n            ],\n            [\n              -90.263671875,\n              39.87601941962116\n            ],\n            [\n              -90.615234375,\n              40.51379915504413\n            ],\n            [\n              -89.8681640625,\n              41.672911819602085\n            ],\n            [\n              -89.7802734375,\n              42.58544425738491\n            ],\n            [\n              -91.0546875,\n              44.18220395771566\n            ],\n            [\n              -92.724609375,\n              45.36758436884978\n            ],\n            [\n              -93.4716796875,\n              44.99588261816546\n            ],\n            [\n              -92.59277343749999,\n              44.24519901522129\n            ],\n            [\n              -91.62597656249999,\n              43.644025847699496\n            ],\n            [\n              -91.318359375,\n              42.68243539838623\n            ],\n            [\n              -90.791015625,\n              41.96765920367816\n            ],\n            [\n              -91.49414062499999,\n              41.178653972331674\n            ],\n            [\n              -91.845703125,\n              40.27952566881291\n            ],\n            [\n              -91.845703125,\n              39.436192999314095\n            ],\n            [\n              -90.703125,\n              38.51378825951165\n            ],\n            [\n              -89.82421875,\n              38.47939467327645\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"23","noUsgsAuthors":false,"publicationDate":"2021-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Vallazza, Jonathan M. 0000-0003-2367-4887 jvallazza@usgs.gov","orcid":"https://orcid.org/0000-0003-2367-4887","contributorId":149362,"corporation":false,"usgs":true,"family":"Vallazza","given":"Jonathan","email":"jvallazza@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":820128,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mosel, Kayle J.","contributorId":261526,"corporation":false,"usgs":false,"family":"Mosel","given":"Kayle","email":"","middleInitial":"J.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":820129,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reineke, David M.","contributorId":261527,"corporation":false,"usgs":false,"family":"Reineke","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":12793,"text":"University of Wisconsin-La Crosse","active":true,"usgs":false}],"preferred":false,"id":820130,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Runstrom, Ann L.","contributorId":261529,"corporation":false,"usgs":false,"family":"Runstrom","given":"Ann","email":"","middleInitial":"L.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":820131,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":820132,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Knights, Brent C. 0000-0001-8526-8468 bknights@usgs.gov","orcid":"https://orcid.org/0000-0001-8526-8468","contributorId":2906,"corporation":false,"usgs":true,"family":"Knights","given":"Brent","email":"bknights@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":820133,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70227272,"text":"70227272 - 2021 - Limited shifts in the distribution of migratory bird breeding habitat density in response to future changes in climate","interactions":[],"lastModifiedDate":"2022-01-06T14:24:06.941403","indexId":"70227272","displayToPublicDate":"2021-07-28T08:13:21","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Limited shifts in the distribution of migratory bird breeding habitat density in response to future changes in climate","docAbstract":"Grasslands, and the depressional wetlands that exist throughout them, are endangered ecosystems that face both climate and land-use change pressures. Tens of millions of dollars are invested annually to manage the existing fragments of these ecosystems to serve as critical breeding habitat for migratory birds. The North American Prairie Pothole Region (PPR) is a region that contains millions of depressional wetlands that produce between 50 and 80% of the continent’s waterfowl population and. Previous modeling efforts suggested that climate change would result in a shift of suitable waterfowl breeding habitat from the central to the southeast portion of the PPR, an area where over half of the wetlands have been drained. The implications of these projections suggest a massive investment in wetland restoration in the southeastern PPR would be needed to sustain waterfowl populations at harvestable levels. We revisited these modeled results indicating how future climate may impact the distribution of waterfowl-breeding habitat using up-to-date climate model projections and a newly developed model for simulating prairie-pothole wetland hydrology. We also presented changes to the number of “May ponds,” a metric used by U.S. Fish and Wildlife Service to estimate waterfowl breeding populations and establish harvest regulations. Based on the output of 32 climate models and 2 emission scenarios, we found no evidence that the distribution of May ponds would shift in the future. However, our results projected a 17% decrease to 5% increase in May-pond numbers when comparing the most recent climate period (1989–2018) to the end of the 21st century (2070–2099). When combined, our results suggest areas in the PPR that that currently support the highest densities of intact wetland basins, and thus support the largest numbers of breeding-duck pairs, will likely also be the places most critical to maintaining continental waterfowl populations in an uncertain future.","language":"English","publisher":"Wiley","doi":"10.1002/eap.2428","usgsCitation":"McKenna, O.P., Mushet, D., Kucia, S., and Mcculloch-Huseby, E.C., 2021, Limited shifts in the distribution of migratory bird breeding habitat density in response to future changes in climate: Ecological Applications, v. 31, no. 7, e02428, 12 p., https://doi.org/10.1002/eap.2428.","productDescription":"e02428, 12 p.","ipdsId":"IP-121838","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":451379,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.2428","text":"Publisher Index Page"},{"id":393953,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Prairie Potholes Region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.470703125,\n              50.401515322782366\n            ],\n            [\n              -97.3388671875,\n              50.792047064406866\n            ],\n            [\n              -98.26171875,\n              50.792047064406866\n            ],\n            [\n              -97.998046875,\n              50.00773901463687\n            ],\n            [\n              -98.4814453125,\n              50.064191736659104\n            ],\n    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     44.15068115978094\n            ],\n            [\n              -99.31640625,\n              43.26120612479979\n            ],\n            [\n              -98.5693359375,\n              41.83682786072714\n            ],\n            [\n              -96.5478515625,\n              41.96765920367816\n            ],\n            [\n              -97.03125,\n              44.213709909702054\n            ],\n            [\n              -96.416015625,\n              44.08758502824516\n            ],\n            [\n              -95.625,\n              43.389081939117496\n            ],\n            [\n              -94.21875,\n              41.96765920367816\n            ],\n            [\n              -93.2080078125,\n              41.47566020027821\n            ],\n            [\n              -92.724609375,\n              41.86956082699455\n            ],\n            [\n              -92.724609375,\n              42.4234565179383\n            ],\n            [\n              -92.98828125,\n              43.83452678223682\n            ],\n            [\n              -94.482421875,\n              45.42929873257377\n            ],\n            [\n              -95.9326171875,\n              45.85941212790755\n            ],\n            [\n              -95.9326171875,\n              46.558860303117164\n            ],\n            [\n              -95.1416015625,\n              47.040182144806664\n            ],\n            [\n              -94.8779296875,\n              48.516604348867475\n            ],\n            [\n              -96.1962890625,\n              50.064191736659104\n            ],\n            [\n              -97.470703125,\n              50.401515322782366\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"31","issue":"7","noUsgsAuthors":false,"publicationDate":"2021-08-30","publicationStatus":"PW","contributors":{"authors":[{"text":"McKenna, Owen P. 0000-0002-5937-9436 omckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-5937-9436","contributorId":198598,"corporation":false,"usgs":true,"family":"McKenna","given":"Owen","email":"omckenna@usgs.gov","middleInitial":"P.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":830237,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mushet, David M. 0000-0002-5910-2744","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":248468,"corporation":false,"usgs":true,"family":"Mushet","given":"David M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":830238,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kucia, Samuel R.","contributorId":270973,"corporation":false,"usgs":false,"family":"Kucia","given":"Samuel R.","affiliations":[],"preferred":false,"id":830239,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mcculloch-Huseby, Elyssa Christina 0000-0001-6680-3912","orcid":"https://orcid.org/0000-0001-6680-3912","contributorId":270974,"corporation":false,"usgs":true,"family":"Mcculloch-Huseby","given":"Elyssa","email":"","middleInitial":"Christina","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":830240,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70224243,"text":"70224243 - 2021 - Submerged aquatic vegetation habitat use of age-0 Florida bass Micropterus floridanus","interactions":[],"lastModifiedDate":"2021-09-15T12:54:54.626811","indexId":"70224243","displayToPublicDate":"2021-07-22T07:50:01","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Submerged aquatic vegetation habitat use of age-0 Florida bass Micropterus floridanus","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Hatchery-raised, age-0 Florida bass<span>&nbsp;</span><i>Micropterus floridanus</i><span>&nbsp;</span>are commonly used for fish enhancement efforts to support popular recreational fisheries and are ecologically important as both a food source and consumer. Despite their importance and frequent use of submerged aquatic vegetation (SAV) habitats, critical information is lacking on the specific characteristics of SAV that influence habitat occupancy. Using the SAV species<span>&nbsp;</span><i>Vallisneria americana</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Potamogeton illinoensis</i>, which are native to the southeast USA<i>,</i><span>&nbsp;</span>and the invasive SAV<span>&nbsp;</span><i>Hydrilla verticillata</i>, we conducted seven different habitat choice experiments to examine hatchery-raised, age-0&nbsp;<i>M</i><i>. floridanus</i><span>&nbsp;</span>habitat use of different SAV populations (i.e., hydrologically isolated collection sources of varied physical characteristics), population diversity (i.e., increased richness of genotypically and phenotypically variable SAV), species, and species diversity (i.e., increased species richness). Fish spent more time in taller, larger<span>&nbsp;</span><i>V. americana</i><span>&nbsp;</span>but did not seem to favor any particular<span>&nbsp;</span><i>P. illinoensis</i><span>&nbsp;</span>population, SAV species, or species diversity tested. Additionally, fish spent more time in increased<span>&nbsp;</span><i>V. americana</i><span>&nbsp;</span>population diversity when the populations used were randomized, but fish spent more time in decreased population diversity when their favored<span>&nbsp;</span><i>V. americana</i><span>&nbsp;</span>population was used in all choices. This research adds additional nuance to our understanding of optimal vegetation for fish habitat use and is informative for future SAV plantings and invasive SAV management aimed at maximizing fish habitat and restoring recreational fisheries.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10641-021-01126-3","usgsCitation":"Looby, A., Reynolds, L.K., Adams, C., Walsh, S., and Martin, C.W., 2021, Submerged aquatic vegetation habitat use of age-0 Florida bass Micropterus floridanus: Environmental Biology of Fishes, v. 104, p. 947-958, https://doi.org/10.1007/s10641-021-01126-3.","productDescription":"12 p.","startPage":"947","endPage":"958","ipdsId":"IP-121044","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":389258,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"104","noUsgsAuthors":false,"publicationDate":"2021-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Looby, Audrey","contributorId":217775,"corporation":false,"usgs":false,"family":"Looby","given":"Audrey","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":823312,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reynolds, Laura K.","contributorId":265763,"corporation":false,"usgs":false,"family":"Reynolds","given":"Laura","email":"","middleInitial":"K.","affiliations":[{"id":54785,"text":"Soil and Water Science, University of Florida","active":true,"usgs":false}],"preferred":false,"id":823313,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Carrie R.","contributorId":217778,"corporation":false,"usgs":false,"family":"Adams","given":"Carrie R.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":823314,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walsh, Stephen 0000-0002-1009-8537","orcid":"https://orcid.org/0000-0002-1009-8537","contributorId":214723,"corporation":false,"usgs":true,"family":"Walsh","given":"Stephen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":823315,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martin, Charles W.","contributorId":265764,"corporation":false,"usgs":false,"family":"Martin","given":"Charles","email":"","middleInitial":"W.","affiliations":[{"id":54786,"text":"UF/IFAS Nature Coast Biological Station, University of Florida","active":true,"usgs":false}],"preferred":false,"id":823316,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70224618,"text":"70224618 - 2021 - Plant growth and biocrust-fire interactions across five North American deserts","interactions":[],"lastModifiedDate":"2021-09-30T11:40:40.182351","indexId":"70224618","displayToPublicDate":"2021-07-17T06:37:23","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1760,"text":"Geoderma","active":true,"publicationSubtype":{"id":10}},"title":"Plant growth and biocrust-fire interactions across five North American deserts","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\" lang=\"en\"><div id=\"as010\"><p id=\"sp0010\">Biological soil crusts (biocrusts) are communities predominately comprised of lichens, bryophytes, fungi, algae, and cyanobacteria that form at the soil surface in dryland ecosystems worldwide. Biocrusts can influence the vascular plant community by altering surface hydrology, nutrient cycling, and the availability of microsites suitable for germination. Fire frequency has increased in many dryland systems, but the potential impacts of fire on biocrust-plant interactions remains unclear. Our study explores how biocrusts and the heating associated with fire affect plant growth across five North American desert sites: the Chihuahuan, Colorado Plateau, Great Basin, Mojave, and Sonoran. Using field-collected biocrusts and mineral soil samples from each of these five deserts, we investigated soil biogeochemical differences and the implications of soil heating and biocrust cover on greenhouse grown<span>&nbsp;</span><i>Elymus elymoides</i><span>&nbsp;</span>plants. Results showed plant biomass and leaf production were largely determined by the desert where soils originated, and that the soils collected from the Great Basin site, whether heated or not, were generally higher in nutrients and distinct from the other North American desert sites. In contrast, the Chihuahuan site was lower in nutrients and plant biomass growth compared with the other desert sites. In the short term, biocrusts and heating did not significantly affect the biogeochemical profile of individual desert site soils. However, biocrusts and soil heating positively influenced plant growth, and the combination of these factors influenced plants more strongly than either factor considered separately. These findings highlight the importance of biocrusts in mediating resources and suggest additional mechanisms through which fire may alter or accentuate dynamics between biocrusts and vascular plants.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geoderma.2021.115325","usgsCitation":"McCann, E., Reed, S., Saud, P., Reibold, R.H., Howell, A.J., and Faist, A.M., 2021, Plant growth and biocrust-fire interactions across five North American deserts: Geoderma, v. 401, 115325, 11 p., https://doi.org/10.1016/j.geoderma.2021.115325.","productDescription":"115325, 11 p.","ipdsId":"IP-125340","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":451491,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geoderma.2021.115325","text":"Publisher Index Page"},{"id":390022,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.6201171875,\n              35.85343961959179\n            ],\n            [\n              -114.91699218749997,\n              35.85343961959179\n            ],\n            [\n              -114.91699218749997,\n              36.421282443649496\n            ],\n            [\n              -115.6201171875,\n              36.421282443649496\n            ],\n            [\n              -115.6201171875,\n              35.85343961959179\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.57617187499999,\n              39.53793974517628\n            ],\n            [\n              -114.6533203125,\n              39.53793974517628\n            ],\n            [\n              -114.6533203125,\n              40.38002840251183\n            ],\n            [\n              -115.57617187499999,\n              40.38002840251183\n            ],\n            [\n              -115.57617187499999,\n              39.53793974517628\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -108.7646484375,\n              37.3002752813443\n            ],\n            [\n              -108.017578125,\n              37.3002752813443\n            ],\n            [\n              -108.017578125,\n              37.75334401310656\n            ],\n            [\n              -108.7646484375,\n              37.75334401310656\n            ],\n            [\n              -108.7646484375,\n              37.3002752813443\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.5986328125,\n              33.76088200086917\n            ],\n            [\n              -112.67578124999999,\n              33.76088200086917\n            ],\n            [\n              -112.67578124999999,\n              34.488447837809304\n            ],\n            [\n              -113.5986328125,\n              34.488447837809304\n            ],\n            [\n              -113.5986328125,\n              33.76088200086917\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -107.1826171875,\n              32.10118973232094\n            ],\n            [\n              -106.435546875,\n              32.10118973232094\n            ],\n            [\n              -106.435546875,\n              32.95336814579932\n            ],\n            [\n              -107.1826171875,\n              32.95336814579932\n            ],\n            [\n              -107.1826171875,\n              32.10118973232094\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"401","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McCann, Ellie","contributorId":266074,"corporation":false,"usgs":false,"family":"McCann","given":"Ellie","email":"","affiliations":[{"id":54879,"text":"U.S. Forest Service, Gunflint Ranger Station, Grand Marais, MN 55604; Department of Animal and Range Sciences, New Mexico State University, Las Cruces, NM 88011, USA","active":true,"usgs":false}],"preferred":false,"id":824295,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":205372,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":824296,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saud, Pradip","contributorId":266075,"corporation":false,"usgs":false,"family":"Saud","given":"Pradip","email":"","affiliations":[{"id":54880,"text":"Department of Animal and Range Sciences, New Mexico State University, Las Cruces, NM 88011, USA","active":true,"usgs":false}],"preferred":false,"id":824297,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reibold, Robin H. 0000-0002-3323-487X","orcid":"https://orcid.org/0000-0002-3323-487X","contributorId":207499,"corporation":false,"usgs":true,"family":"Reibold","given":"Robin","email":"","middleInitial":"H.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":824298,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Howell, Armin J. 0000-0003-1243-0238 ahowell@usgs.gov","orcid":"https://orcid.org/0000-0003-1243-0238","contributorId":196798,"corporation":false,"usgs":true,"family":"Howell","given":"Armin","email":"ahowell@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":824299,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Faist, Akasha M.","contributorId":193038,"corporation":false,"usgs":false,"family":"Faist","given":"Akasha","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":824300,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70223463,"text":"70223463 - 2021 - A global dataset of inland fisheries expert knowledge","interactions":[],"lastModifiedDate":"2021-08-27T15:01:03.898055","indexId":"70223463","displayToPublicDate":"2021-07-16T09:58:40","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3907,"text":"Scientific Data","active":true,"publicationSubtype":{"id":10}},"title":"A global dataset of inland fisheries expert knowledge","docAbstract":"<p><span>Inland fisheries and their freshwater habitats face intensifying effects from multiple natural and anthropogenic pressures. Fish harvest and biodiversity data remain largely disparate and severely deficient in many areas, which makes assessing and managing inland fisheries difficult. Expert knowledge is increasingly used to improve and inform biological or vulnerability assessments, especially in data-poor areas. Integrating expert knowledge on the distribution, intensity, and relative influence of human activities can guide natural resource management strategies and institutional resource allocation and prioritization. This paper introduces a dataset summarizing the expert-perceived state of inland fisheries at the basin (fishery) level. An electronic survey distributed to professional networks (June-September 2020) captured expert perceptions (n = 536) of threats, successes, and adaptive capacity to fisheries across 93 hydrological basins, 79 countries, and all major freshwater habitat types. This dataset can be used to address research questions with conservation relevance, including: demographic influences on perceptions of threat, adaptive capacities for climate change, external factors driving multi-stressor interactions, and geospatial threat assessments.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41597-021-00949-0","usgsCitation":"Stokes, G.L., Lynch, A., Funge-Smith, S., Valbo-Jorgensen, J., Beard, Lowe, B.S., Wong, J.P., and Smidt, S.J., 2021, A global dataset of inland fisheries expert knowledge: Scientific Data, v. 8, 182, 10 p., https://doi.org/10.1038/s41597-021-00949-0.","productDescription":"182, 10 p.","ipdsId":"IP-123864","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":451498,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41597-021-00949-0","text":"Publisher Index Page"},{"id":388584,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","noUsgsAuthors":false,"publicationDate":"2021-07-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Stokes, Gretchen L. 0000-0003-4202-6527","orcid":"https://orcid.org/0000-0003-4202-6527","contributorId":245640,"corporation":false,"usgs":false,"family":"Stokes","given":"Gretchen","email":"","middleInitial":"L.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":822094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lynch, Abigail 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":220490,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":822095,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Funge-Smith, Simon 0000-0001-9974-5333","orcid":"https://orcid.org/0000-0001-9974-5333","contributorId":245642,"corporation":false,"usgs":false,"family":"Funge-Smith","given":"Simon","email":"","affiliations":[{"id":32888,"text":"Food and Agriculture organization of the United Nations","active":true,"usgs":false}],"preferred":false,"id":822096,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valbo-Jorgensen, John 0000-0002-1992-5682","orcid":"https://orcid.org/0000-0002-1992-5682","contributorId":245643,"corporation":false,"usgs":false,"family":"Valbo-Jorgensen","given":"John","email":"","affiliations":[{"id":32888,"text":"Food and Agriculture organization of the United Nations","active":true,"usgs":false}],"preferred":false,"id":822097,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beard, Jr. 0000-0003-2632-2350 dbeard@usgs.gov","orcid":"https://orcid.org/0000-0003-2632-2350","contributorId":169459,"corporation":false,"usgs":true,"family":"Beard","suffix":"Jr.","email":"dbeard@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":822098,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lowe, Benjamin S. 0000-0002-1879-254X","orcid":"https://orcid.org/0000-0002-1879-254X","contributorId":245641,"corporation":false,"usgs":false,"family":"Lowe","given":"Benjamin","email":"","middleInitial":"S.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":822099,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wong, Jesse P.","contributorId":264850,"corporation":false,"usgs":false,"family":"Wong","given":"Jesse","email":"","middleInitial":"P.","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":822100,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Smidt, Samuel J. 0000-0001-7728-2083","orcid":"https://orcid.org/0000-0001-7728-2083","contributorId":192816,"corporation":false,"usgs":false,"family":"Smidt","given":"Samuel","email":"","middleInitial":"J.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":822101,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70237744,"text":"70237744 - 2021 - Event scale relationships of DOC and TDN fluxes in throughfall and stemflow diverge from stream exports in a forested catchment","interactions":[],"lastModifiedDate":"2023-08-03T21:28:06.924605","indexId":"70237744","displayToPublicDate":"2021-07-14T08:53:38","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Event scale relationships of DOC and TDN fluxes in throughfall and stemflow diverge from stream exports in a forested catchment","docAbstract":"<p><span>Aquatic fluxes of carbon and nutrients link terrestrial and aquatic ecosystems. Within forests, storm events drive both the delivery of carbon and nitrogen to the forest floor and the export of these solutes from the land via streams. To increase understanding of the relationships between hydrologic event character and the relative fluxes of carbon and nitrogen in throughfall, stemflow and streams, we measured dissolved organic carbon (DOC) and total dissolved nitrogen (TDN) concentrations in each flow path for 23 events in a forested watershed in Vermont, USA. DOC and TDN concentrations increased with streamflow, indicating their export was limited by water transport of catchment stores. DOC and TDN concentrations in throughfall and stemflow decreased exponentially with increasing precipitation, suggesting that precipitation removed a portion of available sources from tree surfaces during the events. DOC and TDN fluxes were estimated for 76 events across a 2-year period. For most events, throughfall and stemflow fluxes greatly exceeded stream fluxes, but the imbalance narrowed for larger storms (&gt;30&nbsp;mm). The largest 10 stream events exported 40% of all stream event DOC whereas those same 10 events contributed 14% of all throughfall export. Approximately 2–5 times more DOC and TDN was exported from trees during rain events than left the catchment via streams annually. The diverging influence of event size on tree versus stream fluxes has important implications for forested ecosystems as hydrological events increase in intensity and frequency due to climate change.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021JG006281","usgsCitation":"Ryan, K.A., Adler, T., Chalmers, A.T., Perdrial, J., Shanley, J.B., and Stubbins, A., 2021, Event scale relationships of DOC and TDN fluxes in throughfall and stemflow diverge from stream exports in a forested catchment: Journal of Geophysical Research: Biogeosciences, v. 126, no. 7, e2021JG006281, 23 p., https://doi.org/10.1029/2021JG006281.","productDescription":"e2021JG006281, 23 p.","ipdsId":"IP-128922","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":436273,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OCS8P7","text":"USGS data release","linkHelpText":"Storm Event Dissolved Organic Carbon and Total Dissolved Nitrogen Concentrations and Yields for Precipitation, Throughfall, Stemflow, and Stream Water and Hourly Streamflow and Precipitation Record for the W-9 Catchment, Sleepers River Research Watershed, 2017 and 2018 (ver. 2.0, September 2022)"},{"id":408603,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","otherGeospatial":"Sleepers River Research Watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -72.32144973179821,\n              44.56971018097872\n            ],\n            [\n              -72.32144973179821,\n              44.37610677503369\n            ],\n            [\n              -72.000598189831,\n              44.37610677503369\n            ],\n            [\n              -72.000598189831,\n              44.56971018097872\n            ],\n            [\n              -72.32144973179821,\n              44.56971018097872\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"126","issue":"7","noUsgsAuthors":false,"publicationDate":"2021-07-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Ryan, Kevin A.","contributorId":298331,"corporation":false,"usgs":false,"family":"Ryan","given":"Kevin","email":"","middleInitial":"A.","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":false,"id":855421,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adler, Thomas","contributorId":244156,"corporation":false,"usgs":false,"family":"Adler","given":"Thomas","email":"","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":855422,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chalmers, Ann T. 0000-0002-5199-8080","orcid":"https://orcid.org/0000-0002-5199-8080","contributorId":217381,"corporation":false,"usgs":true,"family":"Chalmers","given":"Ann","email":"","middleInitial":"T.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":855423,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perdrial, Julia","contributorId":190445,"corporation":false,"usgs":false,"family":"Perdrial","given":"Julia","affiliations":[],"preferred":false,"id":855424,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":855425,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stubbins, Aron","contributorId":191244,"corporation":false,"usgs":false,"family":"Stubbins","given":"Aron","email":"","affiliations":[],"preferred":false,"id":855426,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70222566,"text":"70222566 - 2021 - A reactive transport approach to modeling cave seepage water chemistry II: Elemental signatures","interactions":[],"lastModifiedDate":"2021-09-14T16:44:59.280495","indexId":"70222566","displayToPublicDate":"2021-07-14T07:53:03","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"A reactive transport approach to modeling cave seepage water chemistry II: Elemental signatures","docAbstract":"<p><span>Karst&nbsp;systems are useful for examining spatial and temporal variability in Critical Zone processes because they provide a window into the subsurface where waters have interacted with vegetation, soils,&nbsp;regolith, and&nbsp;bedrock&nbsp;across a range of length and timescales. These hydrologic pathways frequently include the precipitation of&nbsp;speleothems, which provide long-term archives of climate and environmental change. Trace element ratios in speleothems (Mg/Ca, Sr/Ca, Ba/Ca) have the potential to provide information about past changes in rainfall and&nbsp;infiltration, but controls on them can be complex and their interpretation must be based on an understanding of the modern cave system. Here we integrate observations of surface conditions, bedrock, soil, and drip water chemistry of Blue Spring Cave in Tennessee, USA with the reactive transport model CrunchTope, which we have calibrated for karst systems to investigate the primary controls on trace element variations in cave&nbsp;seepage waters. We find that measured drip water Mg/Ca and Sr/Ca are captured within the model through variable amounts of&nbsp;limestone&nbsp;dissolution followed by precipitation of secondary&nbsp;calcite&nbsp;that happens within the cave rather than the host limestone. However, strong spatial controls on drip water Mg/Ca and Sr/Ca likely reflect seepage water interactions with variable amounts of diagenetic phases in the host rock. In contrast, Ba/Ca values are consistent across the cave and vary with effective rainfall, suggesting that this parameter may be the most consistent metric for limestone dissolution and prior calcite precipitation and can act as a proxy for rainfall and infiltration in this cave system. Our findings emphasize the importance of evaluating spatial heterogeneity in cave drip waters and outline a novel modeling approach for determining the dominant controls on drip water chemistry in support of the interpretations of&nbsp;</span>paleoclimate<span>&nbsp;records.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2021.06.040","usgsCitation":"Oster, J., Covey, A., Lawrence, C., Giannetta, M., and Druhan, J., 2021, A reactive transport approach to modeling cave seepage water chemistry II: Elemental signatures: Geochimica et Cosmochimica Acta, v. 311, p. 353-373, https://doi.org/10.1016/j.gca.2021.06.040.","productDescription":"21 p.","startPage":"353","endPage":"373","ipdsId":"IP-125017","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":451523,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gca.2021.06.040","text":"Publisher Index Page"},{"id":387712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"311","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Oster, Jessica","contributorId":223020,"corporation":false,"usgs":false,"family":"Oster","given":"Jessica","email":"","affiliations":[{"id":36656,"text":"Vanderbilt University","active":true,"usgs":false}],"preferred":false,"id":820570,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Covey, Aaron","contributorId":261749,"corporation":false,"usgs":false,"family":"Covey","given":"Aaron","email":"","affiliations":[{"id":36656,"text":"Vanderbilt University","active":true,"usgs":false}],"preferred":false,"id":820571,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawrence, Corey 0000-0001-6143-7781","orcid":"https://orcid.org/0000-0001-6143-7781","contributorId":202373,"corporation":false,"usgs":true,"family":"Lawrence","given":"Corey","email":"","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":820572,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Giannetta, Max","contributorId":261750,"corporation":false,"usgs":false,"family":"Giannetta","given":"Max","email":"","affiliations":[{"id":35161,"text":"University of Illinois, Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":820573,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Druhan, Jennifer","contributorId":245460,"corporation":false,"usgs":false,"family":"Druhan","given":"Jennifer","affiliations":[{"id":36403,"text":"University of Illinois","active":true,"usgs":false}],"preferred":false,"id":820574,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70221822,"text":"sir20215027 - 2021 - Occurrence and distribution of mercury in streams and reservoirs in the Triangle Area of North Carolina, July 2007–June 2009","interactions":[],"lastModifiedDate":"2021-07-09T18:48:34.290205","indexId":"sir20215027","displayToPublicDate":"2021-07-09T08:49:28","publicationYear":"2021","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":"2021-5027","displayTitle":"Occurrence and Distribution of Mercury in Streams  and Reservoirs in the Triangle Area of North Carolina, July 2007–June 2009","title":"Occurrence and distribution of mercury in streams and reservoirs in the Triangle Area of North Carolina, July 2007–June 2009","docAbstract":"<p>During the time period 2001–2006, the U.S. Geological Survey reported mercury-concentration measurements that exceeded the North Carolina water-quality criterion (NCWQC) of 0.012 microgram per liter for total recoverable mercury in streams and reservoirs across the Triangle Area of North Carolina. Mercury data were sparse, however, generally consisting of only one or two water samples per year. Additional monitoring and data analysis were needed to better determine the occurrence and distribution of mercury in the Triangle Area for all seasons and waterbody types as well as associations between mercury concentrations and water-quality and land-use parameters. Water at fifteen reservoir and 14 stream sites across the Triangle Area was sampled at various times between August 2007 and June 2009, with water samples collected from both the surfaces and bottoms of the water columns in reservoirs and from the surfaces of streams. A bed sediment sample was also collected at all reservoir sites and at all but one stream site. A total of 301 water samples was collected at reservoir sites. Filtered and total recoverable mercury were detected in at least one water sample collected from each reservoir site. A total of 77 water samples was collected from stream sites with filtered mercury detected in samples from one-half of these sites, and total recoverable mercury detected in at least one water sample from all but two sites. Total recoverable and filtered mercury concentrations exceeded the NCWQC for mercury more frequently in reservoir than in stream samples. Differences in sampling frequencies among seasons and between streams and reservoirs, however, may have negatively biased overall estimates of mercury concentrations in streams relative to reservoirs. Filtered mercury concentrations in surface-water samples from reservoirs and total recoverable mercury concentrations in bottom samples from reservoirs were highest in the fall, whereas no seasonal trends in filtered or total recoverable mercury were detected from stream samples. Total mercury concentrations were calculated for the bulk sample on the basis of the percentage of the grains in the bulk sample whose diameters that were smaller than 0.0625 millimeters. Total mercury concentrations in bed sediment were generally higher for samples from reservoir sites compared to streams sites, although the highest total mercury concentration in bed sediment was from a stream site. Concentrations of total recoverable mercury in water samples from stream sites all fell within the general range for streams and lakes without on-site significant anthropogenic sources (for example, mercury mines or industrial pollution), whereas samples collected from eight reservoir sites had total mercury concentrations in a range characteristic of sites affected by mercury mines or industrial pollution. Results suggested that litterfall may be a source of mercury in streams, whereas atmospheric deposition is likely a dominant source for reservoirs; however, high concentrations of filtered and total recoverable mercury concentrations in the fall season in some reservoir-water samples may warrant further analysis of potential hydrologic factors. Mercury concentrations in all water and bed sediment samples were below levels expected to cause adverse effects to humans and aquatic biota, indicating that mercury levels at the study sites in the Triangle Area were unlikely to cause an immediate health risk to humans or aquatic organisms. The high variability among several sample replicates for total recoverable mercury, however, indicated that inferences from total recoverable mercury concentrations can be tenuous.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215027","collaboration":"Prepared in cooperation with the Triangle Area Water Supply Monitoring Project Steering Committee","usgsCitation":"McKee, A.M., Fitzgerald, S., and Giorgino, M., 2021, Occurrence and distribution of mercury in streams and reservoirs in the Triangle Area of North Carolina, July 2007–June 2009: U.S. Geological Survey Scientific Investigations Report 2021–5027, 42 p., https://doi.org/10.3133/sir20215027.","productDescription":"Report: x, 42 p.; Data Release","numberOfPages":"42","onlineOnly":"Y","ipdsId":"IP-114002","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":387025,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9S4EMC7","text":"USGS Data Release","linkHelpText":"Water and bed sediment data associated with the occurrence and distribution of mercury in streams and reservoirs in the Triangle Area of North Carolina, July 2007 -June 2009"},{"id":387023,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5027/coverthb.jpg"},{"id":387024,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5027/sir20215027.pdf","text":"Report","size":"3.50 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5027"}],"country":"United States","state":"North Carolina","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.64263916015625,\n              35.31512519050729\n            ],\n            [\n              -78.12103271484375,\n              35.31512519050729\n            ],\n            [\n              -78.12103271484375,\n              36.49859745028132\n            ],\n            [\n              -79.64263916015625,\n              36.49859745028132\n            ],\n            [\n              -79.64263916015625,\n              35.31512519050729\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/sa-water\" data-mce-href=\"https://www.usgs.gov/centers/sa-water\">South Atlantic Water Science Center</a><br>U.S. Geological Survey<br>1770 Corporate Drive, Suite 500<br>Norcross, GA 30093</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Conclusions</li><li>References Cited</li><li>Appendix 1. Randomly Generated Numbers Below the Method Detection Level for Use in Statistical Analysis</li><li>Appendix 2. Accuracy of Bed Sediment Total Mercury and Total Organic-Carbon Analyses Determined for Reference Materials</li><li>Appendix 3. Precision of Constituent Analyses in Replicate Water Samples</li></ul>","publishedDate":"2021-07-09","noUsgsAuthors":false,"publicationDate":"2021-07-09","publicationStatus":"PW","contributors":{"authors":[{"text":"McKee, Anna M. 0000-0003-2790-5320 amckee@usgs.gov","orcid":"https://orcid.org/0000-0003-2790-5320","contributorId":166725,"corporation":false,"usgs":true,"family":"McKee","given":"Anna","email":"amckee@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":818853,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fitzgerald, Sharon 0000-0002-6288-867X safitzge@usgs.gov","orcid":"https://orcid.org/0000-0002-6288-867X","contributorId":139701,"corporation":false,"usgs":true,"family":"Fitzgerald","given":"Sharon","email":"safitzge@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":818854,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Giorgino, Mary J. 0000-0001-7152-1856 giorgino@usgs.gov","orcid":"https://orcid.org/0000-0001-7152-1856","contributorId":205646,"corporation":false,"usgs":true,"family":"Giorgino","given":"Mary","email":"giorgino@usgs.gov","middleInitial":"J.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":818855,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70222569,"text":"70222569 - 2021 - Earlier winter/spring runoff and snowmelt during warmer winters lead to lower summer chlorophyll-a in north temperate lakes","interactions":[],"lastModifiedDate":"2021-09-14T16:43:21.140757","indexId":"70222569","displayToPublicDate":"2021-07-09T07:14:34","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Earlier winter/spring runoff and snowmelt during warmer winters lead to lower summer chlorophyll-<i>a</i> in north temperate lakes","title":"Earlier winter/spring runoff and snowmelt during warmer winters lead to lower summer chlorophyll-a in north temperate lakes","docAbstract":"<p><span>Winter conditions, such as ice cover and snow accumulation, are changing rapidly at northern latitudes and can have important implications for lake processes. For example, snowmelt in the watershed—a defining feature of lake hydrology because it delivers a large portion of annual nutrient inputs—is becoming earlier. Consequently, earlier and a shorter duration of snowmelt are expected to affect annual phytoplankton biomass. To test this hypothesis, we developed an index of runoff timing based on the date when 50% of cumulative runoff between January 1 and May 31&nbsp;had occurred. The runoff index was computed using stream discharge for inflows, outflows, or for flows from nearby streams for 41&nbsp;lakes in Europe and North America. The runoff index was then compared with summer chlorophyll-</span><i>a</i><span>&nbsp;(Chl-</span><i>a</i><span>) concentration (a proxy for phytoplankton biomass) across 5–53&nbsp;years for each lake. Earlier runoff generally corresponded to lower summer Chl-</span><i>a</i><span>. Furthermore, years with earlier runoff also had lower winter/spring runoff magnitude, more protracted runoff, and earlier ice-out. We examined several lake characteristics that may regulate the strength of the relationship between runoff timing and summer Chl-</span><i>a</i><span>&nbsp;concentrations; however, our tested covariates had little effect on the relationship. Date of ice-out was not clearly related to summer Chl-</span><i>a</i><span>&nbsp;concentrations. Our results indicate that ongoing changes in winter conditions may have important consequences for summer phytoplankton biomass and production.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.15797","usgsCitation":"Hrycik, A.R., Isles, P.D., Adrian, R., Albright, M., Bacon, L.C., Berger, S.A., Bhattacharya, R., Grossart, H., Hejzlar, J., Hetherington, A.L., Knoll, L.B., Laas, A., McDonald, C.P., Merrell, K., Nejstgaard, J.C., Nelson, K., Noges, P., Paterson, A.M., Pilla, R.M., Robertson, D., Rudstam, L.G., Rusak, J.A., Sadro, S., Silow, E.A., Stockwell, J.D., Yao, H., Yokota, K., and Pierson, D.C., 2021, Earlier winter/spring runoff and snowmelt during warmer winters lead to lower summer chlorophyll-a in north temperate lakes: Global Change Biology, v. 27, no. 19, p. 4615-4629, https://doi.org/10.1111/gcb.15797.","productDescription":"15 p.","startPage":"4615","endPage":"4629","ipdsId":"IP-121909","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":451574,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10919/111965","text":"External Repository"},{"id":387703,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"19","noUsgsAuthors":false,"publicationDate":"2021-07-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Hrycik, Allison R. 0000-0002-0870-3398","orcid":"https://orcid.org/0000-0002-0870-3398","contributorId":217379,"corporation":false,"usgs":false,"family":"Hrycik","given":"Allison","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":820575,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Isles, Peter D. F. 0000-0003-4446-6788","orcid":"https://orcid.org/0000-0003-4446-6788","contributorId":261751,"corporation":false,"usgs":false,"family":"Isles","given":"Peter","email":"","middleInitial":"D. F.","affiliations":[{"id":52989,"text":"SUNY Buffalo State College","active":true,"usgs":false}],"preferred":false,"id":820576,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adrian, Rita 0000-0002-6318-7189","orcid":"https://orcid.org/0000-0002-6318-7189","contributorId":166831,"corporation":false,"usgs":false,"family":"Adrian","given":"Rita","email":"","affiliations":[{"id":24542,"text":"Department of Ecosystem Research, Leibniz Institute of Freshwater Ecology and Inland Fisheries, Müggelseedamm 301, D- 12587 Berlin, Germany","active":true,"usgs":false}],"preferred":false,"id":820577,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Albright, Matthew","contributorId":261752,"corporation":false,"usgs":false,"family":"Albright","given":"Matthew","email":"","affiliations":[{"id":52990,"text":"SUNY Oneonta Biological Field Station","active":true,"usgs":false}],"preferred":false,"id":820578,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bacon, Linda C. 0000-0001-8744-4656","orcid":"https://orcid.org/0000-0001-8744-4656","contributorId":204064,"corporation":false,"usgs":false,"family":"Bacon","given":"Linda","email":"","middleInitial":"C.","affiliations":[{"id":36816,"text":"Department of Environmental Protection, State of Maine","active":true,"usgs":false}],"preferred":false,"id":820579,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Berger, Stella A. 0000-0002-8835-545X","orcid":"https://orcid.org/0000-0002-8835-545X","contributorId":244069,"corporation":false,"usgs":false,"family":"Berger","given":"Stella","email":"","middleInitial":"A.","affiliations":[{"id":38332,"text":"Leibniz-Institute of Freshwater Ecology and Inland Fisheries","active":true,"usgs":false}],"preferred":false,"id":820580,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bhattacharya, Ruchi 0000-0001-5657-9603","orcid":"https://orcid.org/0000-0001-5657-9603","contributorId":223162,"corporation":false,"usgs":false,"family":"Bhattacharya","given":"Ruchi","email":"","affiliations":[],"preferred":false,"id":820581,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Grossart, Hans-Peter 0000-0002-9141-0325","orcid":"https://orcid.org/0000-0002-9141-0325","contributorId":194460,"corporation":false,"usgs":false,"family":"Grossart","given":"Hans-Peter","email":"","affiliations":[],"preferred":false,"id":820582,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hejzlar, Josef 0000-0002-7186-4776","orcid":"https://orcid.org/0000-0002-7186-4776","contributorId":243013,"corporation":false,"usgs":false,"family":"Hejzlar","given":"Josef","email":"","affiliations":[{"id":38766,"text":"Institute of Hydrobiology, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":820583,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hetherington, Amy L. 0000-0003-3002-2924","orcid":"https://orcid.org/0000-0003-3002-2924","contributorId":166842,"corporation":false,"usgs":false,"family":"Hetherington","given":"Amy","email":"","middleInitial":"L.","affiliations":[{"id":24552,"text":"Department of Natural Resources, Cornell University, Ithaca, New York, 14853, USA.","active":true,"usgs":false}],"preferred":false,"id":820584,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Knoll, Lesley B. 0000-0003-0347-5979","orcid":"https://orcid.org/0000-0003-0347-5979","contributorId":194463,"corporation":false,"usgs":false,"family":"Knoll","given":"Lesley","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":820585,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Laas, Alo 0000-0002-4801-0377","orcid":"https://orcid.org/0000-0002-4801-0377","contributorId":261753,"corporation":false,"usgs":false,"family":"Laas","given":"Alo","email":"","affiliations":[{"id":18000,"text":"Estonian University of Life Sciences","active":true,"usgs":false}],"preferred":false,"id":820586,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"McDonald, Cory P. 0000-0002-1208-8471","orcid":"https://orcid.org/0000-0002-1208-8471","contributorId":261754,"corporation":false,"usgs":false,"family":"McDonald","given":"Cory","email":"","middleInitial":"P.","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":820587,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Merrell, Kellie","contributorId":261755,"corporation":false,"usgs":false,"family":"Merrell","given":"Kellie","email":"","affiliations":[{"id":52992,"text":"Vermont Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":820588,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Nejstgaard, Jens C. 0000-0003-1236-0647","orcid":"https://orcid.org/0000-0003-1236-0647","contributorId":261756,"corporation":false,"usgs":false,"family":"Nejstgaard","given":"Jens","email":"","middleInitial":"C.","affiliations":[{"id":52993,"text":"Leibniz-Institute of Freshwater Ecology and Inland Fisheries (IGB)","active":true,"usgs":false}],"preferred":false,"id":820589,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Nelson, Kirsten 0000-0002-5795-1056","orcid":"https://orcid.org/0000-0002-5795-1056","contributorId":261757,"corporation":false,"usgs":false,"family":"Nelson","given":"Kirsten","email":"","affiliations":[{"id":52994,"text":"New Hampshire Department of Environmental Services","active":true,"usgs":false}],"preferred":false,"id":820590,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Noges, Peeter 0000-0003-2919-6038","orcid":"https://orcid.org/0000-0003-2919-6038","contributorId":150291,"corporation":false,"usgs":false,"family":"Noges","given":"Peeter","email":"","affiliations":[{"id":17967,"text":"Centre for Limnology, Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, Tartumaa, Estonia","active":true,"usgs":false}],"preferred":false,"id":820591,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Paterson, Andrew M. 0000-0002-4296-9528","orcid":"https://orcid.org/0000-0002-4296-9528","contributorId":243020,"corporation":false,"usgs":false,"family":"Paterson","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":48613,"text":"Dorset Environmental Science Centre, Canada","active":true,"usgs":false}],"preferred":false,"id":820592,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Pilla, Rachel M. 0000-0001-9156-9486","orcid":"https://orcid.org/0000-0001-9156-9486","contributorId":261758,"corporation":false,"usgs":false,"family":"Pilla","given":"Rachel","email":"","middleInitial":"M.","affiliations":[{"id":16608,"text":"Miami University","active":true,"usgs":false}],"preferred":false,"id":820593,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Robertson, Dale M. 0000-0001-6799-0596","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":217258,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":820594,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Rudstam, Lars G. 0000-0002-3732-6368","orcid":"https://orcid.org/0000-0002-3732-6368","contributorId":213508,"corporation":false,"usgs":false,"family":"Rudstam","given":"Lars","email":"","middleInitial":"G.","affiliations":[{"id":12722,"text":"Cornell 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USA","active":true,"usgs":false}],"preferred":false,"id":820597,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Silow, Eugene A. 0000-0002-7039-3220","orcid":"https://orcid.org/0000-0002-7039-3220","contributorId":150308,"corporation":false,"usgs":false,"family":"Silow","given":"Eugene","email":"","middleInitial":"A.","affiliations":[{"id":17982,"text":"Scientific Research Institute of Biology, Irkutsk State University, Irkutsk, Russia","active":true,"usgs":false}],"preferred":false,"id":820598,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Stockwell, Jason D. 0000-0003-3393-6799","orcid":"https://orcid.org/0000-0003-3393-6799","contributorId":61004,"corporation":false,"usgs":false,"family":"Stockwell","given":"Jason","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":820599,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Yao, Huaxia 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0000-0001-6230-0146","orcid":"https://orcid.org/0000-0001-6230-0146","contributorId":204090,"corporation":false,"usgs":false,"family":"Pierson","given":"Donald","email":"","middleInitial":"C.","affiliations":[{"id":36836,"text":"Department of Ecology and Genetics, Uppsala University","active":true,"usgs":false}],"preferred":false,"id":820602,"contributorType":{"id":1,"text":"Authors"},"rank":28}]}}
,{"id":70221816,"text":"sir20215056 - 2021 - Hydraulic modeling at selected dam-removal and culvert-retrofit sites in the northeastern United States","interactions":[],"lastModifiedDate":"2021-07-09T11:58:58.971817","indexId":"sir20215056","displayToPublicDate":"2021-07-08T16:19:59","publicationYear":"2021","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":"2021-5056","displayTitle":"Hydraulic Modeling at Selected Dam-Removal and Culvert-Retrofit Sites in the Northeastern United States","title":"Hydraulic modeling at selected dam-removal and culvert-retrofit sites in the northeastern United States","docAbstract":"<p>Aquatic connectivity projects, such as removing dams and modifying culverts, have substantial benefits. The restoration of natural flow conditions improves water quality, sediment transport, aquatic and riparian habitat, and fish passage. These projects can also decrease hazards faced by communities by lowering water-surface elevations of flood waters and by removing the risk of dam breaches associated with aging or inadequate infrastructure.<br><br>This report documents and provides results of one- and two-dimensional hydraulic models developed for selected rivers and streams in the northeastern United States where a dam was removed or a culvert was retrofitted. The models were developed for conditions before and after the dam removal or culvert modification. The discharges applied in the models included monthly discharges and flood discharges for the annual exceedance probabilities of 50, 20, 10, 4, 2, 1, 0.5, and 0.2 percent.<br><br>This study, by the U.S. Geological Survey in cooperation with the U.S. Fish and Wildlife Service, demonstrates the benefits resulting from dam removal and retrofitting undersized culverts in terms of decreased water-surface elevations during flooding and improved fish passage. The U.S. Army Corps of Engineers Hydrologic Engineering Center’s River Analysis System was used to model the sites in one- and two-dimensional hydraulics, and decreases in the 1-percent annual exceedance probability discharge water-surface elevation were found at all sites studied. The decreases in water-surface elevation at sites in which the impoundment was removed ranged from 1.3 to 10.4 feet. One site, Bradford Dam in Westerly, Rhode Island, had only a 0.2-foot decrease, but at that site the dam was replaced by a series of weirs to retain the upstream impoundment and allow fish passage.<br><br>Minimal differences were found between the water-surface elevations computed by the one- and two-dimensional models. The two-dimensional models, however, provide the additional benefit of detailed velocity and depth data throughout the channel at a resolution not possible with a one-dimensional model. These velocity and depth data allowed for assessment of the suitability for fish passage at the sites. Fish passage was improved at all the sites by removing the dams and retrofitting the culvert. Prolonged swim velocity criteria for selected fish species were maintained throughout three of the nine study sites, and burst swim velocity criteria were met at all study sites.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215056","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Olson, S.A., and Simeone, C.E., 2021, Hydraulic modeling at selected dam-removal and culvert-retrofit sites in the northeastern United States: U.S. Geological Survey Scientific Investigations Report 2021–5056, 37 p., https://doi.org/10.3133/sir20215056.","productDescription":"Report: vi, 37 p.; Data Release","numberOfPages":"37","onlineOnly":"Y","ipdsId":"IP-120501","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":387017,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LWIWVO","text":"USGS data release","linkHelpText":"Data and hydraulic models at selected dam removal and culvert retrofit sites in the northeastern United States"},{"id":387015,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5056/coverthb.jpg"},{"id":387016,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5056/sir20215056.pdf","text":"Report","size":"6.72 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5056"}],"country":"United States","state":"Connecticut, Massachusetts, New Jersey, Rhode Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.2181396484375,\n              39.88866516883713\n            ],\n            [\n              -73.95721435546875,\n              39.88866516883713\n            ],\n   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     ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.17718505859375,\n              41.19932314127607\n            ],\n            [\n              -72.89703369140625,\n              41.19932314127607\n            ],\n            [\n              -72.89703369140625,\n              41.38917324986403\n            ],\n            [\n              -73.17718505859375,\n              41.38917324986403\n            ],\n            [\n              -73.17718505859375,\n              41.19932314127607\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -72.08953857421875,\n              41.2509675141624\n            ],\n            [\n        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-71.15295410156249,\n              41.82045509614034\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ nweng@usgs.gov\" data-mce-href=\"mailto:dc_ nweng@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/new-england-water\" data-mce-href=\"https://www.usgs.gov/centers/new-england-water\">New England Water Science Center</a><br>U.S. Geological Survey<br>10 Bearfoot Road<br>Northborough, MA 01532</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Development of Hydraulic Models</li><li>Model Execution</li><li>Model Results</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2021-07-08","noUsgsAuthors":false,"publicationDate":"2021-07-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Olson, Scott A. 0000-0002-1064-2125 solson@usgs.gov","orcid":"https://orcid.org/0000-0002-1064-2125","contributorId":2059,"corporation":false,"usgs":true,"family":"Olson","given":"Scott","email":"solson@usgs.gov","middleInitial":"A.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":818841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simeone, Caelan E. 0000-0003-3263-6452 csimeone@usgs.gov","orcid":"https://orcid.org/0000-0003-3263-6452","contributorId":221126,"corporation":false,"usgs":true,"family":"Simeone","given":"Caelan","email":"csimeone@usgs.gov","middleInitial":"E.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":818842,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70222548,"text":"70222548 - 2021 - Investigation of scale-dependent groundwater/surface-water exchange in rivers by gradient self-potential logging: Numerical modeling and field experiments","interactions":[],"lastModifiedDate":"2021-08-04T12:10:45.87688","indexId":"70222548","displayToPublicDate":"2021-07-08T07:06:49","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9128,"text":"Journal of Environmental and Engineering Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Investigation of scale-dependent groundwater/surface-water exchange in rivers by gradient self-potential logging: Numerical modeling and field experiments","docAbstract":"<p><span>Exchanges of groundwater and surface-water are fundamental to a wide range of water-supply and water-quality management issues but challenging to map beyond the reach scale. Waterborne gradient self-potential (SP) measurements are directly sensitive to water flow through riverbed sediments and can be used to infer exchange locations, direction (gain versus loss), scale, and relative changes, but to date applications to river corridor hydrology are limited. Numerical modeling and field experiments were therefore performed herein, each emphasizing waterborne gradient SP logging for identifying and locating focused vertical groundwater discharge (surface-water gain) and recharge (surface-water loss) in a river. Two and three-dimensional numerical models were constructed to simulate the polarities, appearances, and peak amplitudes of streaming-potential and electric-field anomalies on a riverbed and in the surface-water that were attributable to steady-state vertical fluxes of groundwater through high-permeability conduits in the riverbed. Effects of varied hydraulic length-scale of exchange and surface-water depth were tested through numerical modeling. Modeling results aided in data acquisition and interpretation for three repeated field experiments performed along a 1.5–2.0 km reach of the Quashnet River in Cape Cod, Massachusetts, where focused, meter-scale groundwater discharges occur at discrete locations within otherwise ubiquitous and more diffuse groundwater upwelling conditions. Strong gradient SP anomalies were repeatedly measured in the Quashnet River at previously confirmed locations of focused groundwater discharge, showing the efficacy of waterborne gradient SP logging in identifying and characterizing groundwater/surface water exchange dynamics at multiple river network scales.</span></p>","language":"English","publisher":"EEGS","doi":"10.32389/JEEG20-066","usgsCitation":"Ikard, S., Briggs, M., and Lane, J.W., 2021, Investigation of scale-dependent groundwater/surface-water exchange in rivers by gradient self-potential logging: Numerical modeling and field experiments: Journal of Environmental and Engineering Geophysics, v. 26, no. 2, 181 p., https://doi.org/10.32389/JEEG20-066.","productDescription":"181 p.","ipdsId":"IP-126186","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":387675,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"Massachusetts","otherGeospatial":"Quashnet River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.51935195922852,\n              41.57115075028995\n            ],\n            [\n              -70.5057907104492,\n              41.57115075028995\n            ],\n            [\n              -70.5057907104492,\n              41.59400643013302\n            ],\n            [\n              -70.51935195922852,\n              41.59400643013302\n            ],\n            [\n              -70.51935195922852,\n              41.57115075028995\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"26","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ikard, Scott 0000-0002-8304-4935","orcid":"https://orcid.org/0000-0002-8304-4935","contributorId":201775,"corporation":false,"usgs":true,"family":"Ikard","given":"Scott","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":820533,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":257637,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin A.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":820534,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lane, John W. 0000-0002-3558-243X","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":219742,"corporation":false,"usgs":true,"family":"Lane","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":820535,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70222423,"text":"70222423 - 2021 - Distributed memory parallel groundwater modeling for the Netherlands Hydrological Instrument","interactions":[],"lastModifiedDate":"2021-07-28T12:01:05.400154","indexId":"70222423","displayToPublicDate":"2021-07-08T06:56:13","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9115,"text":"Environmental Software & Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Distributed memory parallel groundwater modeling for the Netherlands Hydrological Instrument","docAbstract":"<p><span>Worldwide, billions of people rely on fresh groundwater reserves for their domestic, agricultural and industrial water use. Extreme droughts and excessive groundwater pumping put pressure on water authorities in maintaining sustainable water usage. High-resolution integrated models are valuable assets in supporting them. The Netherlands Hydrological Instrument (NHI) provides the Dutch water authorities with open source modeling software and data. However, NHI integrated&nbsp;</span>groundwater models<span>&nbsp;often require long run times and large memory usage, therefore strongly limiting their application. As a solution, we present a distributed memory&nbsp;parallelization, focusing on the National Hydrological Model. Depending on the level of integration, we show that significant speedups can be obtained up to two orders of magnitude. As far as we know, this is the first reported integrated groundwater parallelization of an operational hydrological model used for national-scale&nbsp;integrated water management&nbsp;and policy making. The parallel model code and data are freely available.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2021.105092","usgsCitation":"Verkaik, J., Hughes, J.D., Walsum, V., Oude Essink, G., Lin, H., and Bierkens, M., 2021, Distributed memory parallel groundwater modeling for the Netherlands Hydrological Instrument: Environmental Software & Modelling, v. 143, 105092, 15 p., https://doi.org/10.1016/j.envsoft.2021.105092.","productDescription":"105092, 15 p.","ipdsId":"IP-129864","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":451594,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envsoft.2021.105092","text":"Publisher Index Page"},{"id":387499,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"143","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Verkaik, Jarno 0000-0001-7420-8304","orcid":"https://orcid.org/0000-0001-7420-8304","contributorId":261418,"corporation":false,"usgs":false,"family":"Verkaik","given":"Jarno","email":"","affiliations":[{"id":52847,"text":"Deltares and Utrecht University","active":true,"usgs":false}],"preferred":false,"id":819993,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hughes, Joseph D. 0000-0003-1311-2354 jdhughes@usgs.gov","orcid":"https://orcid.org/0000-0003-1311-2354","contributorId":2492,"corporation":false,"usgs":true,"family":"Hughes","given":"Joseph","email":"jdhughes@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":819994,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walsum, van","contributorId":261419,"corporation":false,"usgs":false,"family":"Walsum","given":"van","email":"","affiliations":[{"id":52848,"text":"Wageningen Environmental Research","active":true,"usgs":false}],"preferred":false,"id":819995,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oude Essink, G.H.P. 0000-0003-0931-6944","orcid":"https://orcid.org/0000-0003-0931-6944","contributorId":261420,"corporation":false,"usgs":false,"family":"Oude Essink","given":"G.H.P.","email":"","affiliations":[{"id":52847,"text":"Deltares and Utrecht University","active":true,"usgs":false}],"preferred":false,"id":819996,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lin, H.X.","contributorId":261421,"corporation":false,"usgs":false,"family":"Lin","given":"H.X.","email":"","affiliations":[{"id":52849,"text":"Delft Institute of Applied Mathematics and Leiden University","active":true,"usgs":false}],"preferred":false,"id":819997,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bierkens, M.F.P. 0000-0002-7411-6562","orcid":"https://orcid.org/0000-0002-7411-6562","contributorId":261422,"corporation":false,"usgs":false,"family":"Bierkens","given":"M.F.P.","affiliations":[{"id":52850,"text":"Utrecht University and Deltares","active":true,"usgs":false}],"preferred":false,"id":819998,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70237231,"text":"70237231 - 2021 - Knowledge synthesis of Cape Sable Seaside Sparrow science","interactions":[],"lastModifiedDate":"2022-10-05T14:55:48.03111","indexId":"70237231","displayToPublicDate":"2021-07-01T09:42:25","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesNumber":"IAA 4500126696","title":"Knowledge synthesis of Cape Sable Seaside Sparrow science","docAbstract":"<p>This report represents a literature review of science conducted on the Cape Sable Seaside Sparrow (<i>Ammospiza maritima mirabilis</i>, hereafter “CSSS” or “spar-row”). This information can be used as a foundation for the upcoming Species Status Assessment and for updating the CSSS Recovery Plan. This report focuses on areas of interest relative to CSSS management such as habitat, hydrology, fire, and population estimates. We include peer-reviewed scientific literature, synthesis reports, and some field reports. Many field reports to funding agencies and other documents exist beyond what is reviewed here; however, we include the most relevant documents relative to the focus of CSSS management. All documents reviewed are listed in the References section.&nbsp;</p>","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Benscoter, A., Haider, S., Guilbeau, K.G., and Romanach, S., 2021, Knowledge synthesis of Cape Sable Seaside Sparrow science, v, 62 p.","productDescription":"v, 62 p.","ipdsId":"IP-132903","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":407962,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":407930,"type":{"id":15,"text":"Index Page"},"url":"https://ecos.fws.gov/ServCat/Reference/Profile/139083"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.65,\n              25\n            ],\n            [\n              -80.6,\n              25\n            ],\n            [\n              -80.6,\n              26\n            ],\n            [\n              -81.65,\n              26\n            ],\n            [\n              -81.65,\n              25\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Benscoter, Allison 0000-0003-4205-3808","orcid":"https://orcid.org/0000-0003-4205-3808","contributorId":216194,"corporation":false,"usgs":true,"family":"Benscoter","given":"Allison","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":853678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haider, Saira M. 0000-0001-9306-3454","orcid":"https://orcid.org/0000-0001-9306-3454","contributorId":206253,"corporation":false,"usgs":true,"family":"Haider","given":"Saira","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":853679,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guilbeau, Kelly G.","contributorId":297126,"corporation":false,"usgs":false,"family":"Guilbeau","given":"Kelly","email":"","middleInitial":"G.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":853680,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Romanach, Stephanie 0000-0003-0271-7825","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":220093,"corporation":false,"usgs":true,"family":"Romanach","given":"Stephanie","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":853681,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70224633,"text":"70224633 - 2021 - Restoration of organic coastal and inland freshwater forests","interactions":[],"lastModifiedDate":"2021-10-01T13:41:34.227602","indexId":"70224633","displayToPublicDate":"2021-07-01T08:36:08","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"15","title":"Restoration of organic coastal and inland freshwater forests","docAbstract":"Peatland forests occur worldwide in inundated soils where primary production and anaerobic conditions contribute to the building of soil organic matter (Günther et al., 2020). Greenhouse gas emissions (GHG) can be substantial from drained freshwater forests with organic soils. Therefore, rewetting peat via hydrologic restoration (see factsheet n°12 on Peatland restoration, this volume) can restore the function of these forests as carbon sinks and reduce their emission of certain components of GHG (Wilson et al., 2016). While the drainage of forests with organic soil is often a part of the process of agriculture, forestry, and peat harvesting, drying of peat can contribute to GHG emissions (Wilson et al., 2016; Günther et al., 2020). Reflooding of organic forest soils to restore hydrology can lead to an increase in tree health, production and organic matter accumulation (Middleton, 1999, 2020a), and a considerable overall reduction in CO2 and N2O emissions (Wilson et al., 2016). Depending on the duration and nature of the previous land-use, forested peatland restoration can be successful from seeds remaining in the seed bank or deposited via flood-pulsed dispersal (Middleton 1999, 2000, 2003). It is important to consider the nutrient status, hydrology and salinity of disturbed inland peat soils in peatland forest restoration (Chimner et al., 2017). Furthermore, the overall functional equivalence of restored wetlands to natural wetlands is a matter of debate (Kolka et al., 2018).","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Recarbonizing global soils – A technical manual of recommended management practices","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"Food and Agricultural Organization of the United Nations","doi":"10.4060/cb6606en","usgsCitation":"Middleton, B., Ward, E., and Menichetti, L., 2021, Restoration of organic coastal and inland freshwater forests, chap. 15 <i>of</i> Recarbonizing global soils – A technical manual of recommended management practices, v. 5, p. 199-211, https://doi.org/10.4060/cb6606en.","productDescription":"13 p.","startPage":"199","endPage":"211","ipdsId":"IP-120392","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":390115,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"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":824451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ward, Eric 0000-0002-5047-5464","orcid":"https://orcid.org/0000-0002-5047-5464","contributorId":167035,"corporation":false,"usgs":true,"family":"Ward","given":"Eric","email":"","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":824452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Menichetti, Lorenzo","contributorId":266159,"corporation":false,"usgs":false,"family":"Menichetti","given":"Lorenzo","email":"","affiliations":[{"id":54933,"text":"Now Ecology, Upsalla, Sweden","active":true,"usgs":false}],"preferred":false,"id":824453,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70229807,"text":"70229807 - 2021 - Effects of chronic and acute stressors on transplanted black mangrove (Avicennia germinans) seedlings along an eroding Louisiana shoreline","interactions":[],"lastModifiedDate":"2022-03-17T13:40:53.098816","indexId":"70229807","displayToPublicDate":"2021-07-01T08:31:22","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Effects of chronic and acute stressors on transplanted black mangrove (<i>Avicennia germinans</i>) seedlings along an eroding Louisiana shoreline","title":"Effects of chronic and acute stressors on transplanted black mangrove (Avicennia germinans) seedlings along an eroding Louisiana shoreline","docAbstract":"<p>Coastal wetland restoration can be used to offset past wetland losses and/or reduce future losses due to land-use changes, rising sea levels, and accelerating climate change. However, there is a need for information regarding the restoration-relevant performance of foundation species like mangrove and marsh plants, including their responses to acute and chronic stressors that can affect restoration outcomes. Mangrove encroachment and poleward range expansion into marsh, facilitated by warming winters, has provided restoration practitioners in the northern Gulf of Mexico with a new foundation plant species to consider using during restoration. To evaluate the performance of transplanted mangroves and characterize restoration-relevant marsh–mangrove interactions, we planted nursery-raised black mangrove (<i>Avicennia germinans</i>) seedlings within different marsh cover treatments along an eroding marsh-dominated shoreline in Louisiana. Mangrove seedling survival increased with greater densities of marsh cover, indicating that marsh grass (<i>Spartina alterniflora</i>) may facilitate mangrove establishment. However, only 35% of transplanted mangrove seedlings established after 10 weeks, suggesting a low return on resources expended in raising seedlings for 1–3 years in greenhouse conditions. Moreover, a 2018 freeze event killed 100% of transplanted mangrove seedlings, while nearby naturally established mangroves suffered minor damage. Our results, along with those in the mangrove restoration literature, indicate that planting mangroves in the northern Gulf of Mexico may not be the most efficient use of limited resources. Rather, restoration efforts may benefit from focusing initially on the restoration of abiotic conditions (e.g. elevation and hydrologic regimes), followed by using marsh plants (rather than transplanted mangroves) to jump-start ecosystem development.</p>","language":"English","publisher":"John Wiley & Sons, Inc.","doi":"10.1111/rec.13373","usgsCitation":"Macy, A., Osland, M., Cherry, J.A., and Cebrian, J., 2021, Effects of chronic and acute stressors on transplanted black mangrove (Avicennia germinans) seedlings along an eroding Louisiana shoreline: Restoration Ecology, v. 29, no. 5, e13373, 8 p., https://doi.org/10.1111/rec.13373.","productDescription":"e13373, 8 p.","ipdsId":"IP-117905","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":397219,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","city":"Port Fourchon","otherGeospatial":"Bayou Lafourche","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.49163818359375,\n              29.045965338037213\n            ],\n            [\n              -89.86061096191406,\n              29.045965338037213\n            ],\n            [\n              -89.86061096191406,\n              29.398926652739164\n            ],\n            [\n              -90.49163818359375,\n              29.398926652739164\n            ],\n            [\n              -90.49163818359375,\n              29.045965338037213\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"29","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-05-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Macy, Aaron","contributorId":218917,"corporation":false,"usgs":false,"family":"Macy","given":"Aaron","email":"","affiliations":[{"id":39936,"text":"Dauphin Island Sea Lab, Dauphin Island, AL USA","active":true,"usgs":false}],"preferred":false,"id":838419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Osland, Michael 0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":219805,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":838420,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cherry, Julia A.","contributorId":195565,"corporation":false,"usgs":false,"family":"Cherry","given":"Julia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":838421,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cebrian, Just","contributorId":218914,"corporation":false,"usgs":false,"family":"Cebrian","given":"Just","email":"","affiliations":[{"id":39936,"text":"Dauphin Island Sea Lab, Dauphin Island, AL USA","active":true,"usgs":false}],"preferred":false,"id":838422,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70224287,"text":"70224287 - 2021 - Preserving soil organic carbon in prairie wetlands of central North America","interactions":[],"lastModifiedDate":"2021-09-21T16:42:12.73108","indexId":"70224287","displayToPublicDate":"2021-06-30T11:40:13","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"19","title":"Preserving soil organic carbon in prairie wetlands of central North America","docAbstract":"<p>Wetlands of the Prairie Pothole Region (PPR) in the Great Plains of central North America are numerous, densely distributed, and have highly productive plant and animal communities (Photo 49). When in a natural, unaltered condition, these wetlands store relatively large amounts of organic carbon in their soils (Photo 50). Human alterations, such as extensive drainage and land-use conversion for agriculture (Figure 7), have been linked with the loss of soil organic carbon (SOC) and associated emission of carbon dioxide (CO<sub>2</sub>), as well as impacts to other ecosystem services provided by these wetlands, such as wildlife and waterfowl habitat, plant biodiversity, flood mitigation, groundwater recharge, nutrient removal and retention, and recreation (Gleason et al., 2011). It has been estimated that more than half of the wetlands of the PPR have been lost due to drainage and other disturbances, with losses approaching 90 percent in some areas (Dahl, 2014; Serran et al., 2018). The goal of this case study was to identify land-management strategies that are consistent with maintaining and increasing SOC stocks of PPR wetlands.</p><p>Two overarching strategies generally are promoted to preserve and enhance SOC stocks of PPR wetlands: avoided drainage and rewetting or restoration. Avoided drainage involves protecting natural, unaltered wetlands from impacts of human actives with the purpose of retaining wetland functions and services such as carbon storage. Rewetting or restoration involves reestablishing natural hydrology and land use with the purpose of enhancing wetland functions and services that were previously lost due to human activities. Avoided drainage provides immediate and long-lasting benefits, while replenishing SOC through rewetting and restoration requires many decades. Both strategies are associated with higher methane (CH<sub>4</sub>) emissions but lower CO<sub>2</sub> and nitrous oxide (N<sub>2</sub>O) emissions.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Recarbonizing global soils– A technical manual of recommended management practices","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"United Nations","collaboration":"United Nations","usgsCitation":"Bansal, S., and Tangen, B., 2021, Preserving soil organic carbon in prairie wetlands of central North America, chap. 19 <i>of</i> Recarbonizing global soils– A technical manual of recommended management practices, v. 6, p. 203-212.","productDescription":"10 p.","startPage":"203","endPage":"212","ipdsId":"IP-120160","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":389552,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":389551,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fao.org/documents/card/en/c/cb6605en"}],"country":"Canada, United States","state":"Alberta, Iowa, Manitoba, Minnesota, Montana, North Dakota, Saskatchewan, South Dakota","otherGeospatial":"central North America","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.8564453125,\n              41.27780646738183\n            ],\n            [\n              -92.3291015625,\n              43.26120612479979\n            ],\n            [\n              -93.8232421875,\n              45.1510532655634\n            ],\n            [\n              -95.44921875,\n              46.40756396630067\n            ],\n            [\n              -96.6357421875,\n              47.69497434186282\n            ],\n            [\n              -97.42675781249999,\n              49.866316729538674\n            ],\n            [\n              -98.9208984375,\n              50.708634400828224\n            ],\n            [\n              -100.1953125,\n              50.28933925329178\n            ],\n            [\n              -102.3046875,\n              51.45400691005982\n            ],\n            [\n              -107.490234375,\n              52.64306343665892\n            ],\n            [\n              -112.763671875,\n              53.9560855309879\n            ],\n            [\n              -114.5654296875,\n              53.61857936489517\n            ],\n            [\n              -113.7744140625,\n              49.468124067331644\n            ],\n            [\n              -109.1162109375,\n              49.06666839558117\n            ],\n            [\n              -105.2490234375,\n              48.951366470947725\n            ],\n            [\n              -104.23828125,\n              48.40003249610685\n            ],\n            [\n              -101.4697265625,\n              47.931066347509784\n            ],\n            [\n              -99.6240234375,\n              46.437856895024204\n            ],\n            [\n              -97.734375,\n              43.35713822211053\n            ],\n            [\n              -95.3173828125,\n              42.90816007196054\n            ],\n            [\n              -94.0869140625,\n              41.21172151054787\n            ],\n            [\n              -92.8564453125,\n              41.27780646738183\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":823460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tangen, Brian 0000-0001-5157-9882 btangen@usgs.gov","orcid":"https://orcid.org/0000-0001-5157-9882","contributorId":167277,"corporation":false,"usgs":true,"family":"Tangen","given":"Brian","email":"btangen@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":823461,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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