{"pageNumber":"166","pageRowStart":"4125","pageSize":"25","recordCount":68760,"records":[{"id":70255290,"text":"70255290 - 2022 - Identifying translocation sites for a climate relict population of Finescale Dace","interactions":[],"lastModifiedDate":"2024-06-17T13:59:50.755342","indexId":"70255290","displayToPublicDate":"2021-12-11T08:52:14","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Identifying translocation sites for a climate relict population of Finescale Dace","docAbstract":"<p><span>Translocation is a management strategy that seeks to address threats to fish and wildlife populations by establishing new populations in ecologically suitable areas. Populations of Finescale Dace&nbsp;</span><i>Chrosomus neogaeus</i><span>&nbsp;in the Great Plains may benefit from translocation, as they exhibit a climate relict natural history that has led to a disjunct distribution and minimal dispersal opportunities. We assessed the translocation suitability of sites for Finescale Dace in the Belle Fourche River basin, Wyoming–South Dakota, using a ranking approach for output from multiple analyses. We used multivariate analysis to evaluate dissimilarity in fish occurrence and habitat between sites with and without Finescale Dace in contemporary surveys (2018–2019;&nbsp;</span><i>n</i><span> = 68). We further evaluated the capacity for sites to support Finescale Dace under base case and future climate change scenarios using the predicted probability of occurrence (</span><i>P</i><span>) from species distribution models (SDMs) fitted with basinwide fish occurrence data from surveys conducted in 2008–2019 (</span><i>n</i><span> = 124) and spatially continuous environmental variables, including forecasted stream temperature scenarios. Sites with Finescale Dace tended to occur close to standing waterbodies, contained emergent vegetation cover, and did not exhibit large overlap in species-space with either native or nonnative species. Predicted&nbsp;</span><i>P</i><span>&nbsp;of Finescale Dace exhibited nonlinear relationships with mean August stream temperature, channel slope, and base flow index. The amount of suitable habitat (i.e., high predicted&nbsp;</span><i>P</i><span>) declined with forecasted stream warming scenarios in the SDMs. This study highlights the utility of using field observations, historical data, and forecasted climate change scenarios to assess translocation site suitability and inform management of at-risk native fish populations, and the results may be transferable to other populations with limited data or restricted distributions.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10348","usgsCitation":"Booher, E.C., and Walters, A.W., 2022, Identifying translocation sites for a climate relict population of Finescale Dace: Transactions of the American Fisheries Society, v. 151, no. 2, p. 245-259, https://doi.org/10.1002/tafs.10348.","productDescription":"15 p.","startPage":"245","endPage":"259","ipdsId":"IP-130982","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":430271,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota, Wyoming","otherGeospatial":"Belle Fourche River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -104.52520825238925,\n              44.94329248147119\n            ],\n            [\n              -104.52520825238925,\n              44.52690501428299\n            ],\n            [\n              -103.23360960816484,\n              44.52690501428299\n            ],\n            [\n              -103.23360960816484,\n              44.94329248147119\n            ],\n            [\n              -104.52520825238925,\n              44.94329248147119\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"151","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-02-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Booher, Evan C.J.","contributorId":339350,"corporation":false,"usgs":false,"family":"Booher","given":"Evan","email":"","middleInitial":"C.J.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":904105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":904104,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70227659,"text":"70227659 - 2022 - A review of algal toxin exposures on reserved federal lands and among trust species in the United States","interactions":[],"lastModifiedDate":"2023-06-21T16:31:50.809151","indexId":"70227659","displayToPublicDate":"2021-12-10T07:03:32","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1345,"text":"Critical Reviews in Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"A review of algal toxin exposures on reserved federal lands and among trust species in the United States","docAbstract":"<div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>Associated health effects from algal toxin exposure are a growing concern for human and animal health. Algal toxin poisonings may occur from contact with or consumption of water supplies or from ingestion of contaminated animals. The U.S. Federal Government owns or holds in trust about 259 million hectares of land, in addition to the Trust species obligations. We completed the first comprehensive review of potential toxin-producing algal blooms in surface waters on Federal lands and Trust species exposed to algal toxins. Events were sorted into three tiers based on potentially toxic algae abundance or toxin concentration and related effects on animal morbidity and mortality. At least 11.1% of Federal lands are known to have been affected by algal events, but exposure is likely underreported. The occurrence of potential toxin producers and their toxins (Tier 1) have been documented 337 times, health advisory threshold exceedances (Tier 2) were reported 943 times, and 86 events involved animal sickness or death linked to cyanobacteria or marine toxins (Tier 3). Trust species exposed to cyano- or algal toxins included marine mammals, migratory birds, threatened and endangered species, and species of concern. We report numerous data gaps ranging from potential effects on human health from consuming intoxicated animals to the infrequency of measuring and reporting certain toxins. Improvements to field and laboratory methods, more consistent evaluation of toxin exposure, decreased latency on data analysis, delivery and interpretation will be necessary to improve response and management strategies for protecting human and animal health where issues persist.</p></div></div>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/10643389.2021.2010511","usgsCitation":"Laughrey, Z.R., Christensen, V., Dusek, R.J., Senegal, S., Lankton, J.S., Ziegler, T., Jones, L.C., Jones, D.K., Williams, B., Gordon, S.E., Clyde, G.A., Emery, E.B., and Loftin, K.A., 2022, A review of algal toxin exposures on reserved federal lands and among trust species in the United States: Critical Reviews in Environmental Science and Technology, v. 52, no. 23, p. 4284-4307, https://doi.org/10.1080/10643389.2021.2010511.","productDescription":"24 p.","startPage":"4284","endPage":"4307","ipdsId":"IP-114198","costCenters":[{"id":242,"text":"Eastern Geographic Science 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zlaughrey@usgs.gov","orcid":"https://orcid.org/0000-0002-7630-2078","contributorId":198516,"corporation":false,"usgs":true,"family":"Laughrey","given":"Zachary","email":"zlaughrey@usgs.gov","middleInitial":"R.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":831597,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christensen, Victoria 0000-0003-4166-7461","orcid":"https://orcid.org/0000-0003-4166-7461","contributorId":220548,"corporation":false,"usgs":true,"family":"Christensen","given":"Victoria","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":831598,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dusek, Robert J. 0000-0001-6177-7479 rdusek@usgs.gov","orcid":"https://orcid.org/0000-0001-6177-7479","contributorId":174374,"corporation":false,"usgs":true,"family":"Dusek","given":"Robert","email":"rdusek@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":831599,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Senegal, Sarena 0000-0002-4403-7273","orcid":"https://orcid.org/0000-0002-4403-7273","contributorId":272153,"corporation":false,"usgs":false,"family":"Senegal","given":"Sarena","affiliations":[],"preferred":false,"id":831600,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lankton, Julia S. 0000-0002-6843-4388 jlankton@usgs.gov","orcid":"https://orcid.org/0000-0002-6843-4388","contributorId":5888,"corporation":false,"usgs":true,"family":"Lankton","given":"Julia","email":"jlankton@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":831601,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ziegler, Tracy 0000-0002-1163-4661","orcid":"https://orcid.org/0000-0002-1163-4661","contributorId":272154,"corporation":false,"usgs":false,"family":"Ziegler","given":"Tracy","email":"","affiliations":[{"id":56361,"text":"National Park Service, National Parks of Eastern North Carolina","active":true,"usgs":false}],"preferred":false,"id":831602,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jones, Lee C.","contributorId":149998,"corporation":false,"usgs":false,"family":"Jones","given":"Lee","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":831603,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jones, Daniel K. 0000-0003-0724-8001 dkjones@usgs.gov","orcid":"https://orcid.org/0000-0003-0724-8001","contributorId":4959,"corporation":false,"usgs":true,"family":"Jones","given":"Daniel","email":"dkjones@usgs.gov","middleInitial":"K.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":831604,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Williams, Brianna 0000-0003-3389-8251","orcid":"https://orcid.org/0000-0003-3389-8251","contributorId":204714,"corporation":false,"usgs":true,"family":"Williams","given":"Brianna","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":831605,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gordon, Stephanie E. 0000-0002-6292-2612 sgordon@usgs.gov","orcid":"https://orcid.org/0000-0002-6292-2612","contributorId":200931,"corporation":false,"usgs":true,"family":"Gordon","given":"Stephanie","email":"sgordon@usgs.gov","middleInitial":"E.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":831606,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Clyde, Gerald A. 0000-0001-8863-411X","orcid":"https://orcid.org/0000-0001-8863-411X","contributorId":272155,"corporation":false,"usgs":false,"family":"Clyde","given":"Gerald","email":"","middleInitial":"A.","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":831607,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Emery, Erich B 0000-0003-0152-0107","orcid":"https://orcid.org/0000-0003-0152-0107","contributorId":272156,"corporation":false,"usgs":false,"family":"Emery","given":"Erich","email":"","middleInitial":"B","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":831608,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Loftin, Keith A. 0000-0001-5291-876X","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":221964,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":831609,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70227285,"text":"70227285 - 2022 - Towards a holistic sulfate-water-O2 triple oxygen isotope systematics","interactions":[],"lastModifiedDate":"2022-01-07T14:45:52.074811","indexId":"70227285","displayToPublicDate":"2021-12-08T08:44:08","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Towards a holistic sulfate-water-O<sub>2</sub> triple oxygen isotope systematics","title":"Towards a holistic sulfate-water-O2 triple oxygen isotope systematics","docAbstract":"<p><span>Triple&nbsp;oxygen isotope&nbsp;(∆</span><sup>17</sup><span>O with δ</span><sup>18</sup><span>O) signals of H</span><sub>2</sub><span>O and O</span><sub>2</sub><span>&nbsp;found in&nbsp;sulfate&nbsp;of oxidative weathering origin offer promising constraints on modern and ancient weathering, hydrology,&nbsp;atmospheric gas&nbsp;concentrations, and bioproductivity. However, interpretations of the sulfate-water-O</span><sub>2</sub><span>&nbsp;system rely on assuming fixed oxygen-isotope fractionations between sulfate and water, which, contrastingly, are shown to vary widely in sign and amplitude. Instead, here we anchor sulfate-water-O</span><sub>2</sub><span>&nbsp;triple oxygen isotope systematics on the homogeneous composition of atmospheric O</span><sub>2</sub><span>&nbsp;with empirical constraints and modeling. Our resulting framework does not require a priori assumptions of the O</span><sub>2</sub><span>- versus H</span><sub>2</sub><span>O‑oxygen ratio in sulfate and accounts for the signals of mass-dependent and mass-independent fractionation in the ∆</span><sup>17</sup><span>O and δ</span><sup>18</sup><span>O of sulfate's O</span><sub>2</sub><span>‑oxygen source. Within this framework, new ∆</span><sup>17</sup><span>O measurements of sulfate constrain ~2.3&nbsp;Ga Paleoproterozoic gross primary productivity to between 6 and 160 times present-day levels, with important implications for the biological&nbsp;carbon cycle&nbsp;response to high CO</span><sub>2</sub><span>&nbsp;concentrations prevalent on the early Earth.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2021.120678","usgsCitation":"Killingsworth, B.A., Cartigny, P., Hayles, J.A., Thomazo, C., Sansjofre, P., Pasquier, V., Lalonde, S.V., and Philippot, P., 2022, Towards a holistic sulfate-water-O2 triple oxygen isotope systematics: Chemical Geology, v. 588, 120678, 13 p., https://doi.org/10.1016/j.chemgeo.2021.120678.","productDescription":"120678, 13 p.","ipdsId":"IP-130808","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":449440,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.chemgeo.2021.120678","text":"Publisher Index Page"},{"id":394018,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"588","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Killingsworth, Bryan Alan 0000-0001-6067-8604","orcid":"https://orcid.org/0000-0001-6067-8604","contributorId":270978,"corporation":false,"usgs":true,"family":"Killingsworth","given":"Bryan","email":"","middleInitial":"Alan","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":830272,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cartigny, Pierre","contributorId":270979,"corporation":false,"usgs":false,"family":"Cartigny","given":"Pierre","email":"","affiliations":[{"id":56238,"text":"Institut de Physique du Globe de Paris, Sorbonne-Paris Cité, UMR 7154, CNRS-Université Paris Diderot","active":true,"usgs":false}],"preferred":false,"id":830273,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayles, Justin A.","contributorId":270977,"corporation":false,"usgs":false,"family":"Hayles","given":"Justin","email":"","middleInitial":"A.","affiliations":[{"id":56237,"text":"Jacobs-JETS, Astromaterials Research and Exploration Science, Johnson Space Center National Aeronautics and Space Administration","active":true,"usgs":false}],"preferred":false,"id":830274,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thomazo, Christophe","contributorId":270980,"corporation":false,"usgs":false,"family":"Thomazo","given":"Christophe","email":"","affiliations":[{"id":56239,"text":"UMR CNRS/uB 6282 Laboratoire Biogéosciences, Université de Bourgogne Franche-Comté and Institut Universitaire de France","active":true,"usgs":false}],"preferred":false,"id":830275,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sansjofre, Pierre","contributorId":270981,"corporation":false,"usgs":false,"family":"Sansjofre","given":"Pierre","email":"","affiliations":[{"id":56240,"text":"CNRS-UMR6538 Laboratoire Géosciences Océan, European Institute for Marine Studies, Université de Bretagne Occidentale","active":true,"usgs":false}],"preferred":false,"id":830276,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pasquier, Virgil","contributorId":270982,"corporation":false,"usgs":false,"family":"Pasquier","given":"Virgil","email":"","affiliations":[{"id":56241,"text":"Department of Earth and Planetary Sciences, Weizmann Institute of Science","active":true,"usgs":false}],"preferred":false,"id":830277,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lalonde, Stefan V.","contributorId":196839,"corporation":false,"usgs":false,"family":"Lalonde","given":"Stefan","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":830278,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Philippot, Pascal","contributorId":270983,"corporation":false,"usgs":false,"family":"Philippot","given":"Pascal","email":"","affiliations":[{"id":56242,"text":"Géosciences Montpellier, CNRS-UMR 5243, Université de Montpellier and Institut de Physique du Globe de Paris, Sorbonne-Paris Cité, UMR 7154, CNRS-Université Paris Diderot","active":true,"usgs":false}],"preferred":false,"id":830279,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70226860,"text":"70226860 - 2022 - Complex demographic responses to contrasting climate drivers lead to divergent population trends across the range of a threatened alpine plant","interactions":[],"lastModifiedDate":"2021-12-16T12:53:03.866205","indexId":"70226860","displayToPublicDate":"2021-12-07T06:51:54","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Complex demographic responses to contrasting climate drivers lead to divergent population trends across the range of a threatened alpine plant","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0010\" class=\"abstract author\"><div id=\"abs0010\"><p id=\"sp0050\"><span>Alpine plants&nbsp;are likely to be particularly vulnerable to climate change because of their restricted distributions and sensitivity to rapid environmental shifts occurring in high-elevation ecosystems. The well-studied Haleakalā silversword (‘āhinahina,&nbsp;</span><i>Argyroxiphium sandwicense</i><span>&nbsp;</span>subsp.<span>&nbsp;</span><i>macrocephalum</i>) already exhibits substantial climate-associated population decline, and offers the opportunity to understand the ecological and demographic mechanisms that underlie ongoing and predicted range shifts. We use nearly four decades of demographic monitoring for this threatened Hawaiian species, in combination with other biological, ecological and climate data to explore demographic responses across its entire range. We construct and independently validate population models for two elevation zones representing the species’ lower trailing and higher stable regions. Differences in population growth rate (lambda) between trailing and stable regions were influenced most strongly by lower survival of juvenile and small adult size classes, as well as by lower recruitment and lower survival of seedlings and large adults in the trailing region. Furthermore, seed production appears to have decreased from the 1980’s to present in the trailing region, and is now significantly less than in the stable region. Lambda and several underlying vital rates were significantly associated with wetter dry season conditions in the lower trailing region, indicating water limitation. In the higher elevation stable region, in contrast, lambda and vital rates were associated with warmer air temperatures, indicating cold limitation. These contrasting demographic patterns and climate dependencies lead to a high probability of extinction over the next century in the lower region, where most plants occur, but zero probability of the same in the higher region, according to stochastic population projections. Drier future scenarios further increase the probability of extinction at low elevations. The combined results illustrate the complexity in the demographic response and future viability that can occur across the range of a single species.</p></div></div></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elesevier","doi":"10.1016/j.gecco.2021.e01954","usgsCitation":"Fortini, L., Krushelnycky, P., Drake, D., Starr, F., Starr, K., and Chimera, C.G., 2022, Complex demographic responses to contrasting climate drivers lead to divergent population trends across the range of a threatened alpine plant: Global Ecology and Conservation, v. 33, e01954, 17 p., https://doi.org/10.1016/j.gecco.2021.e01954.","productDescription":"e01954, 17 p.","ipdsId":"IP-080030","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":449451,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2021.e01954","text":"Publisher Index Page"},{"id":393004,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fortini, Lucas Berio 0000-0002-5781-7295","orcid":"https://orcid.org/0000-0002-5781-7295","contributorId":236984,"corporation":false,"usgs":true,"family":"Fortini","given":"Lucas Berio","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":828522,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krushelnycky, Paul","contributorId":265727,"corporation":false,"usgs":false,"family":"Krushelnycky","given":"Paul","affiliations":[{"id":40951,"text":"University of Hawai‘i - Mānoa","active":true,"usgs":false}],"preferred":false,"id":828523,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drake, Donald","contributorId":270149,"corporation":false,"usgs":false,"family":"Drake","given":"Donald","affiliations":[{"id":40951,"text":"University of Hawai‘i - Mānoa","active":true,"usgs":false}],"preferred":false,"id":828524,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Starr, Forest","contributorId":270150,"corporation":false,"usgs":false,"family":"Starr","given":"Forest","affiliations":[{"id":40951,"text":"University of Hawai‘i - Mānoa","active":true,"usgs":false}],"preferred":false,"id":828525,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Starr, Kim","contributorId":270151,"corporation":false,"usgs":false,"family":"Starr","given":"Kim","affiliations":[{"id":40951,"text":"University of Hawai‘i - Mānoa","active":true,"usgs":false}],"preferred":false,"id":828526,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chimera, Charles G.","contributorId":177629,"corporation":false,"usgs":false,"family":"Chimera","given":"Charles","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":828527,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70227805,"text":"70227805 - 2022 - Capacity of two Sierra Nevada rivers for reintroduction of anadromous salmonids: Insights from a high-resolution view","interactions":[],"lastModifiedDate":"2022-02-01T19:04:08.428192","indexId":"70227805","displayToPublicDate":"2021-12-06T14:03:51","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Capacity of two Sierra Nevada rivers for reintroduction of anadromous salmonids: Insights from a high-resolution view","docAbstract":"<p>Historically, anadromous steelhead <i>Oncorhynchus mykiss</i> and spring-run Chinook Salmon <i>O. tshawytscha</i> used high-elevation rivers in the Sierra Nevada of California but were extirpated in the 20th century by construction of impassable dams. Plans to reintroduce the fish by opening migratory passage across the dams and reservoirs can only succeed if upstream habitats have the capacity to support viable populations of each species. To estimate capacity in the Tuolumne and Merced rivers of the central Sierra Nevada, we used a high-resolution approach based on remote sensing and dynamic habitat modeling. Our results suggested that for both species in both systems, sediment grain sizes would support widespread spawning and the water temperatures, depths, and velocities would generate ample capacity for fry and juveniles. However, the unregulated Merced River was consistently too warm for adult Chinook Salmon to hold in the dry season prior to spawning, while the regulated Tuolumne River maintained a cooler, more stable thermal regime with a capacity for thousands of holding adults. In our high-resolution approach, we also discovered several specific physical controls on life history expression, including thermal constraints on the timing of spawning, hydraulic prompts for downstream migration of fry, divergence of the hydraulic niches of steelhead and Chinook Salmon, and a key but uncertain role for thermal tolerance in adult Chinook Salmon. Our results suggested that steelhead reintroduction could succeed in either system and Chinook Salmon could succeed in the Tuolumne River if passage strategies account for large numbers of migrant fry and juveniles driven downstream by winter storms and snowmelt. The Merced River appeared too warm for adult Chinook Salmon, which raises questions about the current limited understanding of thermal tolerance in holding adults. Our study shows how a high-resolution approach can provide valuable insights on specific limiting factors that must be addressed for reintroduction to succeed.</p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10334","usgsCitation":"Boughton, D.A., Harrison, L.R., John, S.N., Bond, R.M., Nicol, C.L., Legleiter, C.J., and Richardson, R.T., 2022, Capacity of two Sierra Nevada rivers for reintroduction of anadromous salmonids: Insights from a high-resolution view: Transactions of the American Fisheries Society, v. 151, no. 1, p. 13-41, https://doi.org/10.1002/tafs.10334.","productDescription":"29 p.","startPage":"13","endPage":"41","ipdsId":"IP-123624","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":467211,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/tafs.10334","text":"External Repository"},{"id":436031,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MUPT5X","text":"USGS data release","linkHelpText":"Topographic, temperature, and sediment grain size data used to evaluate potential habitat for anadromous salmonids on the upper Merced and Tuolumne Rivers in California"},{"id":395229,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sierra Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.67907714843751,\n              37.08585785263673\n            ],\n            [\n              -119.16320800781249,\n              37.08585785263673\n            ],\n            [\n              -119.16320800781249,\n              38.07404145941957\n            ],\n            [\n              -121.67907714843751,\n              38.07404145941957\n            ],\n            [\n              -121.67907714843751,\n              37.08585785263673\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"151","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-12-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Boughton, David A.","contributorId":172477,"corporation":false,"usgs":false,"family":"Boughton","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":832337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harrison, Lee R.","contributorId":174322,"corporation":false,"usgs":false,"family":"Harrison","given":"Lee","email":"","middleInitial":"R.","affiliations":[{"id":6710,"text":"University of California, Santa Barbara, CA","active":true,"usgs":false}],"preferred":false,"id":832338,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"John, Sara N.","contributorId":273050,"corporation":false,"usgs":false,"family":"John","given":"Sara","email":"","middleInitial":"N.","affiliations":[{"id":12520,"text":"NOAA National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":832339,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bond, Rosealea M. 0000-0003-0939-2007","orcid":"https://orcid.org/0000-0003-0939-2007","contributorId":272853,"corporation":false,"usgs":false,"family":"Bond","given":"Rosealea","email":"","middleInitial":"M.","affiliations":[{"id":56398,"text":"Institute of Marine Sciences, University of California Santa Cruz and National Marine Fisheries Service, Southwest Fisheries Science Center","active":true,"usgs":false}],"preferred":false,"id":832340,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nicol, Colin L.","contributorId":201719,"corporation":false,"usgs":false,"family":"Nicol","given":"Colin","email":"","middleInitial":"L.","affiliations":[{"id":12520,"text":"NOAA National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":832341,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":832342,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Richardson, Ryan T. 0000-0002-7864-8670","orcid":"https://orcid.org/0000-0002-7864-8670","contributorId":272854,"corporation":false,"usgs":false,"family":"Richardson","given":"Ryan","email":"","middleInitial":"T.","affiliations":[{"id":56400,"text":"River Design Group","active":true,"usgs":false}],"preferred":false,"id":832343,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70226883,"text":"70226883 - 2022 - Both real-time and long-term environmental data perform well in predicting shorebird distributions in managed habitat","interactions":[],"lastModifiedDate":"2022-06-01T15:07:22.372804","indexId":"70226883","displayToPublicDate":"2021-12-06T07:09:24","publicationYear":"2022","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":"Both real-time and long-term environmental data perform well in predicting shorebird distributions in managed habitat","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Highly mobile species, such as migratory birds, respond to seasonal and inter-annual variability in resource availability by moving to better habitats. Despite the recognized importance of resource thresholds, species distribution models typically rely on long-term average habitat conditions, mostly because large-extent, temporally-resolved, environmental data are difficult to obtain. Recent advances in remote sensing make it possible to incorporate more frequent measurements of changing landscapes; however, there is often a cost in terms of model building and processing and the added value of such efforts is unknown. Our study tests whether incorporating real-time environmental data increases the predictive ability of distribution models, relative to using long-term average data. We developed and compared distribution models for shorebirds in California's Central Valley based on high temporal resolution (every 16-days), and 17-year long-term average, surface water data. Using abundance-weighted boosted regression trees, we modeled monthly shorebird occurrence as a function of surface water availability, crop type, wetland type, road density, temperature, and bird data source. While modeling with both real-time and long-term average data provided good fit to withheld validation data (0.79 &lt; AUC &lt; 0.89 across taxa), there were small differences in model performance. The best models incorporated long-term average conditions and spatial pattern information for real-time flooding (e.g. perimeter-area ratio of real-time water bodies). There was not a substantial difference in the performance of real-time and long-term average data models within time periods when real-time surface water differed substantially from the long-term average (specifically during drought years 2013-2016) and in intermittently flooded months or locations. Spatial predictions resulting from the models differed most in the southern region of the study area where there is lower water availability, fewer birds, and lower sampling density. Prediction uncertainty in the southern region of the study area highlights the need for increased sampling in this area. Because both sets of data performed similarly, the choice of which data to use may depend on the management context. Real-time data may ultimately be best for guiding dynamic, adaptive conservation actions whereas models based on long-term averages may be more helpful for guiding permanent wetland protection and restoration.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/eap.2510","usgsCitation":"Conlisk, E., Golet, G., Reynolds, M., Barbaree, B., Sesser, K., Byrd, K.B., Veloz, S., and Reiter, M., 2022, Both real-time and long-term environmental data perform well in predicting shorebird distributions in managed habitat: Ecological Applications, v. 32, no. 4, e2510, 20 p., https://doi.org/10.1002/eap.2510.","productDescription":"e2510, 20 p.","ipdsId":"IP-121785","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":449459,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9286402","text":"External Repository"},{"id":393097,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-04-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Conlisk, Erin","contributorId":270185,"corporation":false,"usgs":false,"family":"Conlisk","given":"Erin","affiliations":[{"id":17734,"text":"Point Blue Conservation Science","active":true,"usgs":false}],"preferred":false,"id":828625,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Golet, Gregory","contributorId":270186,"corporation":false,"usgs":false,"family":"Golet","given":"Gregory","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":828626,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reynolds, Mark","contributorId":270187,"corporation":false,"usgs":false,"family":"Reynolds","given":"Mark","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":828627,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barbaree, Blake","contributorId":270188,"corporation":false,"usgs":false,"family":"Barbaree","given":"Blake","email":"","affiliations":[{"id":17734,"text":"Point Blue Conservation Science","active":true,"usgs":false}],"preferred":false,"id":828628,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sesser, Kristin","contributorId":270189,"corporation":false,"usgs":false,"family":"Sesser","given":"Kristin","affiliations":[{"id":17734,"text":"Point Blue Conservation Science","active":true,"usgs":false}],"preferred":false,"id":828629,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Byrd, Kristin B. 0000-0002-5725-7486 kbyrd@usgs.gov","orcid":"https://orcid.org/0000-0002-5725-7486","contributorId":3814,"corporation":false,"usgs":true,"family":"Byrd","given":"Kristin","email":"kbyrd@usgs.gov","middleInitial":"B.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":828630,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Veloz, Sam","contributorId":270190,"corporation":false,"usgs":false,"family":"Veloz","given":"Sam","affiliations":[{"id":17734,"text":"Point Blue Conservation Science","active":true,"usgs":false}],"preferred":false,"id":828631,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reiter, Matthew E.","contributorId":270191,"corporation":false,"usgs":false,"family":"Reiter","given":"Matthew","middleInitial":"E.","affiliations":[{"id":17734,"text":"Point Blue Conservation Science","active":true,"usgs":false}],"preferred":false,"id":828632,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70226859,"text":"70226859 - 2022 - Climate extremes as drivers of surface-water-quality trends in the United States","interactions":[],"lastModifiedDate":"2021-12-16T12:55:51.685069","indexId":"70226859","displayToPublicDate":"2021-12-05T06:53:47","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Climate extremes as drivers of surface-water-quality trends in the United States","docAbstract":"<div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0035\">Surface-water quality can change in response to climate perturbations, such as changes in the frequency of heavy precipitation or droughts, through direct effects, such as dilution and concentration, and through physical processes, such as bank scour. Water quality might also change through indirect mechanisms, such as changing water demand or changes in runoff interaction with organic matter on the landscape. Many studies predict future changes in water-quality related to climate changes; however, fewer studies specifically document changes in water quality related to changes in climate, and they are usually limited in geographic scope. Recently, the<span>&nbsp;</span><a class=\"topic-link\" title=\"Learn more about U.S. from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/united-states-of-america\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/united-states-of-america\">U.S.</a><span>&nbsp;</span>Geological Survey's National Water-Quality Program reported nearly 12,000 trends in concentration and load for numerous water-quality constituents, including nutrients, sediment, major ions, and carbon. The results provide an unprecedented opportunity to examine sites across the conterminous United States for changes in water quality related to climate changes. We used published water-quality trends, modeled using the method of Weighted Regressions on Time, Season and Discharge, and calculated trends in climate extremes indices, using a modified Mann-Kendall trend method. The water-quality and the climate extremes trends were combined to identify areas in the conterminous United States where changes in climate extremes may have changed water quality. We investigated the water-quality trends in these areas to determine whether the trends related to changes in climate. We found that it was important to go beyond spatial correlation and examine trends on a watershed scale to investigate key drivers of trends. We found successful management practices in Iowa to reduce chloride concentrations, despite increases in icing days. For sediment, it appeared that management practices were having a larger effect than climate changes. For nutrients, complex forces affecting water quality make it difficult to unequivocally attribute water-quality change to climate change.</p></div></div><div id=\"ab0010\" class=\"abstract graphical\" lang=\"en\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2021.152165","usgsCitation":"Ryberg, K.R., and Chanat, J.G., 2022, Climate extremes as drivers of surface-water-quality trends in the United States: Science of the Total Environment, v. 809, 152165, 12 p., https://doi.org/10.1016/j.scitotenv.2021.152165.","productDescription":"152165, 12 p.","ipdsId":"IP-130945","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":488976,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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           37.55176\n              ],\n              [\n                -122.51201,\n                37.78339\n              ],\n              [\n                -122.95319,\n                38.11371\n              ],\n              [\n                -123.7272,\n                38.95166\n              ],\n              [\n                -123.86517,\n                39.76699\n              ],\n              [\n                -124.39807,\n                40.3132\n              ],\n              [\n                -124.17886,\n                41.14202\n              ],\n              [\n                -124.2137,\n                41.99964\n              ],\n              [\n                -124.53284,\n                42.76599\n              ],\n              [\n                -124.14214,\n                43.70838\n              ],\n              [\n                -124.02053,\n                44.6159\n              ],\n              [\n                -123.89893,\n                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 -116.04818,\n                49\n              ],\n              [\n                -113,\n                49\n              ],\n              [\n                -110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","volume":"809","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ryberg, Karen R. 0000-0002-9834-2046 kryberg@usgs.gov","orcid":"https://orcid.org/0000-0002-9834-2046","contributorId":1172,"corporation":false,"usgs":true,"family":"Ryberg","given":"Karen","email":"kryberg@usgs.gov","middleInitial":"R.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828520,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chanat, Jeffrey G. 0000-0002-3629-7307 jchanat@usgs.gov","orcid":"https://orcid.org/0000-0002-3629-7307","contributorId":5062,"corporation":false,"usgs":true,"family":"Chanat","given":"Jeffrey","email":"jchanat@usgs.gov","middleInitial":"G.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828521,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70241623,"text":"70241623 - 2022 - Seasonal impoundment management reduces nitrogen cycling but not resilience to surface fire in a tidal wetland","interactions":[],"lastModifiedDate":"2023-03-24T13:27:12.928099","indexId":"70241623","displayToPublicDate":"2021-12-04T08:18:21","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal impoundment management reduces nitrogen cycling but not resilience to surface fire in a tidal wetland","docAbstract":"<p><span>Hydrology and salinity regimes of many impounded wetlands are manipulated to provide seasonal habitats for migratory&nbsp;<a class=\"topic-link\" title=\"Learn more about waterfowl from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/waterfowl\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/waterfowl\">waterfowl</a>, with little-known consequences for ecosystem structure and function. Managed hydrology can alter ecosystems by directly changing soil properties and processes and by influencing plant community dynamics. Additionally, management history may influence ecosystem response to disturbance, including fires. To better understand how wetland management regime influences ecosystem response to disturbance, we quantified elevation,&nbsp;<a class=\"topic-link\" title=\"Learn more about soil nitrogen from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/soil-nitrogen\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/soil-nitrogen\">soil nitrogen</a>&nbsp;concentrations and process rates, and plant community structure and diversity in a natural experiment following the 2018 Branscombe Fire. We measured paired burned-unburned patches in both tidally-influenced and managed, seasonally-impounded wetlands in Suisun Marsh, California, USA. Unburned ecosystem structure and nutrient cycling differed by wetland management history; unburned impounded wetlands were ∼1&nbsp;m lower in elevation and plant community composition was dominated by succulents whereas the unburned tidal wetland was dominated by graminoids. Unburned impounded&nbsp;<a class=\"topic-link\" title=\"Learn more about wetland soil from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/wetland-soil\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/wetland-soil\">wetland soil</a>&nbsp;nitrogen cycling (potential nitrification and denitrification) rates were &lt;28% of those measured in unburned tidal wetland soils and soil extractable nitrate, ammonium, and&nbsp;</span><a class=\"topic-link\" title=\"Learn more about dissolved inorganic phosphorus from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/dissolved-inorganic-phosphorus\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/dissolved-inorganic-phosphorus\">dissolved inorganic phosphorus</a><span>&nbsp;concentrations were also substantially lower in unburned impounded than unburned tidal wetlands. Despite these differences in pre-disturbance (i.e., unburned) conditions, all soil processes recovered to baseline levels within 6 months after surface fire, and we found no evidence of plant community change 1 year after fire in either wetland management type. Overall, water management history exerted stronger control on ecosystem processes and structure than surface fire disturbance. Low extractable soil nitrate and potential denitrification rates may indicate limitation of soil nitrogen removal in impounded wetlands, with implications for downstream environmental quality and eutrophication across managed landscapes.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2021.114153","usgsCitation":"Jones, S., Schutte, C.A., Roberts, B., and Thorne, K., 2022, Seasonal impoundment management reduces nitrogen cycling but not resilience to surface fire in a tidal wetland: Journal of Environmental Management, v. 303, 114153, 11 p., https://doi.org/10.1016/j.jenvman.2021.114153.","productDescription":"114153, 11 p.","ipdsId":"IP-134289","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":449468,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2021.114153","text":"Publisher Index Page"},{"id":436034,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DWBSQT","text":"USGS data release","linkHelpText":"Soil, Plant, and Elevation Characteristics of Tidal and Managed Impounded Wetlands in Suisun Marsh, California, USA (2018-2019)"},{"id":414698,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Suisun Marsh","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.01718926989348,\n              38.18457183754458\n            ],\n            [\n              -122.01718926989348,\n              38.080375985659515\n            ],\n            [\n              -121.8946168874855,\n              38.080375985659515\n            ],\n            [\n              -121.8946168874855,\n              38.18457183754458\n            ],\n            [\n              -122.01718926989348,\n              38.18457183754458\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"303","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jones, Scott 0000-0002-1056-3785","orcid":"https://orcid.org/0000-0002-1056-3785","contributorId":215602,"corporation":false,"usgs":true,"family":"Jones","given":"Scott","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":867525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schutte, Charles A","contributorId":303410,"corporation":false,"usgs":false,"family":"Schutte","given":"Charles","email":"","middleInitial":"A","affiliations":[{"id":65797,"text":"Louisiana Universities Marine Consortium, Chauvin, LA; Rowan University (present)","active":true,"usgs":false}],"preferred":false,"id":867526,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roberts, Brian J","contributorId":146207,"corporation":false,"usgs":false,"family":"Roberts","given":"Brian J","affiliations":[{"id":16627,"text":"Louisiana Universities Marine Consortium (LUMCON)","active":true,"usgs":false}],"preferred":false,"id":867527,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thorne, Karen M. 0000-0002-1381-0657","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":204579,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":867528,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70247510,"text":"70247510 - 2022 - Estimating pelagic primary production in lakes: Comparison of 14C incubation and free-water O2 approaches","interactions":[],"lastModifiedDate":"2023-08-11T13:22:06.505287","indexId":"70247510","displayToPublicDate":"2021-12-04T06:48:31","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2622,"text":"Limnology and Oceanography: Methods","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Estimating pelagic primary production in lakes: Comparison of <sup>14</sup>C incubation and free-water O<sub>2</sub> approaches","title":"Estimating pelagic primary production in lakes: Comparison of 14C incubation and free-water O2 approaches","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Historically, estimates of pelagic primary production in lake ecosystems were made by measuring the uptake of carbon-14 (<sup>14</sup>C)-labeled inorganic carbon in samples incubated under laboratory or in situ conditions. However, incubation approaches are increasingly being replaced by methods that analyze diel changes in high-frequency in situ data such as free-water dissolved oxygen (O<sub>2</sub>). While there is a rich literature on the comparison of approaches for estimating primary production using incubations (e.g.,<span>&nbsp;</span><sup>14</sup>C and O<sub>2</sub><span>&nbsp;</span>bottle experiments), as well for approaches using high-frequency data (e.g., diel O<sub>2</sub><span>&nbsp;</span>and CO<sub>2</sub><span>&nbsp;</span>metabolism models), there are few direct comparisons of<span>&nbsp;</span><sup>14</sup>C incubations and free-water O<sub>2</sub><span>&nbsp;</span>approaches for estimating primary production. We used 20 lake-years of concurrent measurements of primary production quantified from high-frequency free-water O<sub>2</sub><span>&nbsp;</span>data and<span>&nbsp;</span><sup>14</sup>C incubations in four different lakes (4–7 years per lake) to compare these different approaches. Across all lakes, 61% of the<span>&nbsp;</span><sup>14</sup>C production estimates were within the 95% credible intervals of the free-water O<sub>2</sub><span>&nbsp;</span>production estimates. Error-in-variable regressions support the assumption that<span>&nbsp;</span><sup>14</sup>C methods estimate a production value between gross primary production and net primary production and the bottle effect is constant across the entire range of production values considered here. There was little evidence that daily pelagic, epilimnetic estimates of primary production differed substantially based on the selection of free-water O<sub>2</sub><span>&nbsp;</span>or<span>&nbsp;</span><sup>14</sup>C approaches in these lakes during summer stratified conditions.</p></div></div>","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lom3.10471","usgsCitation":"Lottig, N.R., Phillips, J., Batt, R.D., Scordo, F., Williamson, T.J., Carpenter, S.R., Chandra, S., Hanson, P.C., Solomon, C.T., Vanni, M.J., and Zwart, J.A., 2022, Estimating pelagic primary production in lakes: Comparison of 14C incubation and free-water O2 approaches: Limnology and Oceanography: Methods, v. 20, no. 1, p. 34-45, https://doi.org/10.1002/lom3.10471.","productDescription":"12 p.","startPage":"34","endPage":"45","ipdsId":"IP-126978","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":419693,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-12-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Lottig, Noah R.","contributorId":172031,"corporation":false,"usgs":false,"family":"Lottig","given":"Noah","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":879917,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phillips, Joseph 0000-0003-2016-1306","orcid":"https://orcid.org/0000-0003-2016-1306","contributorId":318157,"corporation":false,"usgs":false,"family":"Phillips","given":"Joseph","email":"","affiliations":[{"id":69342,"text":"Holar University","active":true,"usgs":false}],"preferred":false,"id":879918,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Batt, Ryan D.","contributorId":196242,"corporation":false,"usgs":false,"family":"Batt","given":"Ryan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":879919,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scordo, Facundo","contributorId":298282,"corporation":false,"usgs":false,"family":"Scordo","given":"Facundo","email":"","affiliations":[{"id":64520,"text":"Instituto Argentino de Oceanografía","active":true,"usgs":false}],"preferred":false,"id":879920,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williamson, Tanner J.","contributorId":223165,"corporation":false,"usgs":false,"family":"Williamson","given":"Tanner","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":879921,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carpenter, Stephen R. 0000-0001-8097-8700","orcid":"https://orcid.org/0000-0001-8097-8700","contributorId":196945,"corporation":false,"usgs":false,"family":"Carpenter","given":"Stephen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":879922,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chandra, Sudeep 0000-0002-9297-8211","orcid":"https://orcid.org/0000-0002-9297-8211","contributorId":224786,"corporation":false,"usgs":false,"family":"Chandra","given":"Sudeep","email":"","affiliations":[{"id":32871,"text":"University of Nevada at Reno","active":true,"usgs":false}],"preferred":false,"id":879923,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hanson, Paul C.","contributorId":35634,"corporation":false,"usgs":false,"family":"Hanson","given":"Paul","email":"","middleInitial":"C.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":879924,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Solomon, Christopher T.","contributorId":34014,"corporation":false,"usgs":false,"family":"Solomon","given":"Christopher","email":"","middleInitial":"T.","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":879925,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Vanni, Michael J.","contributorId":204106,"corporation":false,"usgs":false,"family":"Vanni","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":36846,"text":"Department of Zoology, Miami University (Ohio)","active":true,"usgs":false}],"preferred":false,"id":879926,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"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":879927,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70226885,"text":"70226885 - 2022 - Geostatistical mapping of salinity conditioned on borehole logs, Montebello Oil Field, California","interactions":[],"lastModifiedDate":"2022-03-15T16:38:07.413106","indexId":"70226885","displayToPublicDate":"2021-12-03T07:01:43","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Geostatistical mapping of salinity conditioned on borehole logs, Montebello Oil Field, California","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>We present a geostatistics-based stochastic salinity estimation framework for the Montebello Oil Field that capitalizes on available total dissolved solids (TDS) data from groundwater samples as well as electrical resistivity (ER) data from borehole logging. Data from TDS samples (<i>n</i>&nbsp;=&nbsp;4924) was coded into an indicator framework based on falling below four selected thresholds (500, 1000, 3000, and 10,000 mg/L). Collocated TDS-ER data from the surrounding groundwater basin were then employed to produce a kernel density estimator to establish conditional probabilities for ER data (<i>n</i>&nbsp;=&nbsp;8 boreholes) falling below the selected TDS thresholds within the Montebello Oil Field area. Directional variograms were estimated from these indicator coded data, and 500 TDS realizations from conditional indicator simulation were generated for the subsurface region above the Montebello Oil Field reservoir. Simulations were summarized as 3D maps of median TDS, most likely salinity class, and probability for exceeding each of the specified TDS thresholds. Results suggested TDS was below 500 mg/L in most of the study area, with a trend toward higher values (500 to 1000 mg/L) to the southwest; consistent with the average regional groundwater flow direction. Discrete localized zones of TDS greater than 1000 mg/L were observed, with one of these zones in the greater than 10,000 mg/L range; however, these areas were not prevalent. The probabilistic approach used here is adaptable and is readily modified to include additional data and types and can be employed in time-lapse salinity modeling through Bayesian updating.</p></div></div>","language":"English","publisher":"National Ground Water Association","doi":"10.1111/gwat.13155","usgsCitation":"Terry, N., Day-Lewis, F., Landon, M.K., Land, M., Stanton, J.S., and Lane, J.W., 2022, Geostatistical mapping of salinity conditioned on borehole logs, Montebello Oil Field, California: Groundwater, v. 60, no. 2, p. 242-261, https://doi.org/10.1111/gwat.13155.","productDescription":"20 p.","startPage":"242","endPage":"261","ipdsId":"IP-118997","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":449470,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/gwat.13155","text":"External Repository"},{"id":436035,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9L0XGEG","text":"USGS data release","linkHelpText":"Data used to estimate groundwater salinity above the Montebello oil field (California, USA)"},{"id":393095,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Montebello Oil Field","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.0703125,\n              33.742612777346885\n            ],\n            [\n              -116.3836669921875,\n              33.742612777346885\n            ],\n            [\n              -116.3836669921875,\n              34.048108084909835\n            ],\n            [\n              -117.0703125,\n              34.048108084909835\n            ],\n            [\n              -117.0703125,\n              33.742612777346885\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"60","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-12-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Terry, Neil 0000-0002-3965-340X nterry@usgs.gov","orcid":"https://orcid.org/0000-0002-3965-340X","contributorId":192554,"corporation":false,"usgs":true,"family":"Terry","given":"Neil","email":"nterry@usgs.gov","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":828636,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day-Lewis, Frederick 0000-0003-3526-886X","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":216359,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":828637,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828638,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Land, Michael 0000-0001-5141-0307 mtland@usgs.gov","orcid":"https://orcid.org/0000-0001-5141-0307","contributorId":171938,"corporation":false,"usgs":true,"family":"Land","given":"Michael","email":"mtland@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828639,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stanton, Jennifer S. 0000-0002-2520-753X jstanton@usgs.gov","orcid":"https://orcid.org/0000-0002-2520-753X","contributorId":830,"corporation":false,"usgs":true,"family":"Stanton","given":"Jennifer","email":"jstanton@usgs.gov","middleInitial":"S.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828640,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":828641,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70226862,"text":"70226862 - 2022 - The presence of denitrifiers in bacterial communities of urban stormwater best management practices (BMPs)","interactions":[],"lastModifiedDate":"2022-01-25T17:36:32.166054","indexId":"70226862","displayToPublicDate":"2021-12-03T06:48:53","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"The presence of denitrifiers in bacterial communities of urban stormwater best management practices (BMPs)","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Stormwater best management practices (BMPs) are engineered structures that attempt to mitigate the impacts of stormwater, which can include nitrogen inputs from the surrounding drainage area. The goal of this study was to assess bacterial community composition in different types of stormwater BMP soils to establish whether a particular BMP type harbors more denitrification potential. Soil sampling took place over the summer of 2015 following precipitation events. Soils were sampled from four bioretention facilities, four dry ponds, four surface sand filters, and one dry swale. 16S rRNA gene analysis of extracted DNA and RNA amplicons indicated high bacterial diversity in the soils of all BMP types sampled. An abundance of denitrifiers was also indicated in the extracted DNA using presence/absence of<span>&nbsp;</span><i>nirS, nirK</i>, and<span>&nbsp;</span><i>nosZ</i><span>&nbsp;</span>denitrification genes. BMP soil bacterial communities were impacted by the surrounding soil physiochemistry. Based on the identification of a metabolically-active community of denitrifiers, this study has indicated that denitrification could potentially occur under appropriate conditions in all types of BMP sampled, including surface sand filters that are often viewed as providing low potential for denitrification. The carbon content of incoming stormwater could be providing bacterial communities with denitrification conditions. The findings of this study are especially relevant for land managers in watersheds with legacy nitrogen from former agricultural land use.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s00267-021-01529-z","usgsCitation":"Hall, N., Sikaroodi, M., Hogan, D.M., Jones, R.C., and Gillevet, P., 2022, The presence of denitrifiers in bacterial communities of urban stormwater best management practices (BMPs): Environmental Management, v. 69, p. 89-110, https://doi.org/10.1007/s00267-021-01529-z.","productDescription":"22 p.","startPage":"89","endPage":"110","ipdsId":"IP-112221","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":449472,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00267-021-01529-z","text":"Publisher Index Page"},{"id":393003,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","county":"Montgomery County","city":"Clarksburg","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.29482650756836,\n              39.22001911674211\n            ],\n            [\n              -77.25242614746094,\n              39.22001911674211\n            ],\n            [\n              -77.25242614746094,\n              39.25285999099622\n            ],\n            [\n              -77.29482650756836,\n              39.25285999099622\n            ],\n            [\n              -77.29482650756836,\n              39.22001911674211\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"69","noUsgsAuthors":false,"publicationDate":"2021-12-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Hall, Natalie C. 0000-0002-6448-162X nhall@usgs.gov","orcid":"https://orcid.org/0000-0002-6448-162X","contributorId":223255,"corporation":false,"usgs":true,"family":"Hall","given":"Natalie","email":"nhall@usgs.gov","middleInitial":"C.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":828528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sikaroodi, Masoumeh","contributorId":270156,"corporation":false,"usgs":false,"family":"Sikaroodi","given":"Masoumeh","email":"","affiliations":[{"id":56098,"text":"George Mason University, Dept. of Biology","active":true,"usgs":false}],"preferred":false,"id":828530,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hogan, Dianna M. 0000-0003-1492-4514 dhogan@usgs.gov","orcid":"https://orcid.org/0000-0003-1492-4514","contributorId":131137,"corporation":false,"usgs":true,"family":"Hogan","given":"Dianna","email":"dhogan@usgs.gov","middleInitial":"M.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":828531,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, R. Christian","contributorId":270157,"corporation":false,"usgs":false,"family":"Jones","given":"R.","email":"","middleInitial":"Christian","affiliations":[{"id":56099,"text":"George Mason University, Dept. of Environmental Science and Policy; PEREC Director","active":true,"usgs":false}],"preferred":false,"id":828532,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gillevet, Patrick","contributorId":270155,"corporation":false,"usgs":false,"family":"Gillevet","given":"Patrick","email":"","affiliations":[{"id":56098,"text":"George Mason University, Dept. of Biology","active":true,"usgs":false}],"preferred":false,"id":828529,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70226656,"text":"70226656 - 2022 - Spatial and temporal controls on proglacial erosion rates: A comparison of four basins on Mount Rainier, 1960 to 2017","interactions":[],"lastModifiedDate":"2022-02-15T16:10:26.168967","indexId":"70226656","displayToPublicDate":"2021-12-02T10:33:50","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal controls on proglacial erosion rates: A comparison of four basins on Mount Rainier, 1960 to 2017","docAbstract":"<p>The retreat of alpine glaciers since the mid-19th century has triggered rapid landscape adjustments in many headwater basins. However, the degree to which decadal-scale glacier retreat is associated with systematic or substantial changes in overall coarse sediment export, with the potential to impact downstream river dynamics, remains poorly understood. Here, we use repeat topographic surveys to assess geomorphic change in four partly-glaciated basins on a stratovolcano (Mount Rainier) in Washington State at roughly decadal intervals from 1960 to 2017. The proglacial extents of the four basins show distinct geomorphic trajectories, ranging from substantial and sustained net erosion to relatively inactive with net deposition. These different trajectories correspond to differences in initial (1960) valley floor gradients, and can be effectively understood as valley floor grade adjustments. Significant erosion was most often accomplished by debris flows triggered by extreme rainfall or glacial outburst floods, though a single rockfall mobilized more material than all other events combined. Year-to-year runoff events had little measurable geomorphic impact. Exported material tended to accumulate in broad deposits within several kilometers of source areas and largely remained there through the end of the study period. Over 10- to 100-year timescales, we nd that the impact of glacier retreat on coarse sediment yield may then vary substantially according to the geometry and storage trends of the newly-exposed valley floor; the timing of that response may also be dictated, and potentially obscured, by stochastic and/or extreme events.</p>","language":"English","publisher":"Wiley","doi":"10.1002/esp.5274","usgsCitation":"Anderson, S.W., and Shean, D., 2022, Spatial and temporal controls on proglacial erosion rates: A comparison of four basins on Mount Rainier, 1960 to 2017: Earth Surface Processes and Landforms, v. 47, no. 2, p. 596-617, https://doi.org/10.1002/esp.5274.","productDescription":"22 p.","startPage":"596","endPage":"617","ipdsId":"IP-119858","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":436036,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9056ZNG","text":"USGS data release","linkHelpText":"Supporting Datasets for Proglacial Topographic Change Analyses on Mount Rainier, 1960 to 2017"},{"id":392384,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Mount Rainier","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.85073852539064,\n              46.78971755817767\n            ],\n            [\n              -121.6351318359375,\n              46.78971755817767\n            ],\n            [\n              -121.6351318359375,\n              46.930572093016316\n            ],\n            [\n              -121.85073852539064,\n              46.930572093016316\n            ],\n            [\n              -121.85073852539064,\n              46.78971755817767\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"47","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Scott W. 0000-0003-1678-5204 swanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-1678-5204","contributorId":196687,"corporation":false,"usgs":true,"family":"Anderson","given":"Scott","email":"swanderson@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":827601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shean, David 0000-0003-3840-3860","orcid":"https://orcid.org/0000-0003-3840-3860","contributorId":269624,"corporation":false,"usgs":false,"family":"Shean","given":"David","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":827602,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70230805,"text":"70230805 - 2022 - Integrated tools for identifying optimal flow regimes and evaluating alternative minimum flows for recovering at-risk salmonids in a highly managed system","interactions":[],"lastModifiedDate":"2022-04-26T14:48:25.006386","indexId":"70230805","displayToPublicDate":"2021-12-02T09:25:58","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Integrated tools for identifying optimal flow regimes and evaluating alternative minimum flows for recovering at-risk salmonids in a highly managed system","docAbstract":"<p><span>Water resource managers are faced with difficult decisions on how to satisfy human water needs while maintaining or restoring riverine ecosystems. Decision sciences have developed approaches and tools that can be used to break down difficult water management decisions into their component parts. An essential aspect of these approaches is the use of quantitative models to evaluate alternative management strategies. Here, we describe four integrated decision support models for evaluating the effect of flows on two life history stages of Chinook salmon (</span><i>Oncorhynchus tshawytscha</i><span>) and Steelhead (</span><i>O. mykiss</i><span>). We then use constrained nonlinear optimization to identify optimal flow regimes for the water year type with the least available water. These flow regimes were then used by managers to develop candidate minimum flow strategies that were evaluated using forward simulation and sensitivity analyses. We found that optimal flow regimes differed markedly from existing regulations and varied among species and life history stages. However, evaluation of tradeoffs among the four competing objectives indicated relatively minimal losses for most objectives when the optimal flows were based on equally weighting the objectives. Sensitivity analysis indicated that water temperature was the primary driver of estimated outcomes and suggested that managers consider alternative means of managing temperatures. Decision sciences have created multiple analytical tools and approaches that simplify complex problems, such as water resource management, and we believe that water resource management would benefit from their increased use.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.3903","usgsCitation":"Peterson, J., Pease, J., Whitman, L., White, J., Stratton Garvin, L.E., Rounds, S.A., and Wallick, J., 2022, Integrated tools for identifying optimal flow regimes and evaluating alternative minimum flows for recovering at-risk salmonids in a highly managed system: River Research and Applications, v. 38, no. 2, p. 293-308, https://doi.org/10.1002/rra.3903.","productDescription":"16 p.","startPage":"293","endPage":"308","ipdsId":"IP-131462","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":449487,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.3903","text":"Publisher Index Page"},{"id":399667,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Willamette River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.794189453125,\n              45.84410779560204\n            ],\n            [\n              -123.255615234375,\n              45.521743896993634\n            ],\n            [\n              -123.72802734375,\n              44.276671273775186\n            ],\n            [\n              -123.15673828124999,\n              43.6599240747891\n            ],\n            [\n              -122.3876953125,\n              43.45291889355465\n            ],\n            [\n              -121.981201171875,\n              43.41302868475145\n            ],\n            [\n              -121.61865234375,\n              43.51668853502906\n            ],\n            [\n              -121.26708984374999,\n              44.008620115415354\n            ],\n            [\n              -121.35498046875,\n              44.5278427984555\n            ],\n            [\n              -121.66259765625001,\n              45.24395342262324\n            ],\n            [\n              -122.18994140624999,\n              45.521743896993634\n            ],\n            [\n              -122.574462890625,\n              45.54483149242463\n            ],\n            [\n              -122.78320312499999,\n              45.81348649679973\n            ],\n            [\n              -122.794189453125,\n              45.84410779560204\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"38","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-12-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":841385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pease, Jessica E.","contributorId":290612,"corporation":false,"usgs":false,"family":"Pease","given":"Jessica E.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":841386,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whitman, Luke","contributorId":290613,"corporation":false,"usgs":false,"family":"Whitman","given":"Luke","email":"","affiliations":[{"id":36223,"text":"Oregon Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":841387,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"White, James 0000-0002-7255-3785 jameswhite@usgs.gov","orcid":"https://orcid.org/0000-0002-7255-3785","contributorId":193492,"corporation":false,"usgs":true,"family":"White","given":"James","email":"jameswhite@usgs.gov","affiliations":[],"preferred":true,"id":841461,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stratton Garvin, Laurel E. 0000-0001-8567-8619 lstratton@usgs.gov","orcid":"https://orcid.org/0000-0001-8567-8619","contributorId":270182,"corporation":false,"usgs":true,"family":"Stratton Garvin","given":"Laurel","email":"lstratton@usgs.gov","middleInitial":"E.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":841462,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rounds, Stewart A. 0000-0002-8540-2206","orcid":"https://orcid.org/0000-0002-8540-2206","contributorId":205029,"corporation":false,"usgs":true,"family":"Rounds","given":"Stewart","email":"","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":841388,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wallick, J. Rose 0000-0002-9392-272X rosewall@usgs.gov","orcid":"https://orcid.org/0000-0002-9392-272X","contributorId":3583,"corporation":false,"usgs":true,"family":"Wallick","given":"J. Rose","email":"rosewall@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":841389,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70231829,"text":"70231829 - 2022 - Assessment and significance of the frequency domain for trends in annual peak streamflow","interactions":[],"lastModifiedDate":"2022-05-30T22:54:07.928183","indexId":"70231829","displayToPublicDate":"2021-12-01T15:52:09","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2289,"text":"Journal of Flood Risk Management","active":true,"publicationSubtype":{"id":10}},"title":"Assessment and significance of the frequency domain for trends in annual peak streamflow","docAbstract":"<p>Risk management of nonstationary floods depends on an understanding of trends over a range of flood frequencies representing small (frequent) to large (infrequent) floods. Quantile regression is applied to the annual peak streamflow distributions at 2683 sites in the contiguous United States to test for trends in the 10th quantile (floods with a 0.9 annual exceedance probability), the 50th quantile (median annual flood), and 90th quantile (floods with a 0.1 annual exceedance probability). Trends are most common (36% of sites) for the median annual flood (50th quantile) and often coherent with trends in both frequent small floods (10th quantile) and infrequent large floods (90th quantile). Changes in the at-site variance of annual peak streamflow, indicated by convergence (decreasing variance) or divergence (increasing variance) of the 10th and 90th quantiles over time, are primarily in response to reservoir operation or urban development rather than climate. An analysis of synthetic series generated from nonstationary distributions demonstrates that quantile regression and standard trend tests used in flood frequency analysis have limited power and high rates of false negatives (&gt;70%) when a test has a significance of<span>&nbsp;</span><i>p</i>&nbsp;=&nbsp;0.05. Quantile regression and tests with lower significance complement standard trend testing to inform flood risk management.</p>","language":"English","publisher":"Wiley","doi":"10.1111/jfr3.12761","usgsCitation":"Konrad, C.P., and Restivo, D.E., 2022, Assessment and significance of the frequency domain for trends in annual peak streamflow: Journal of Flood Risk Management, v. 14, no. 4, e12761, 17 p., https://doi.org/10.1111/jfr3.12761.","productDescription":"e12761, 17 p.","ipdsId":"IP-110944","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":449488,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jfr3.12761","text":"Publisher Index Page"},{"id":436037,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95DRY7D","text":"USGS data release","linkHelpText":"Trends in annual peak streamflow quantiles for 2,683 U.S. Geological Survey streamgages in the conterminous United States"},{"id":401365,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-09-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Konrad, Christopher P. 0000-0002-7354-547X cpkonrad@usgs.gov","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":292140,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","email":"cpkonrad@usgs.gov","middleInitial":"P.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843919,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Restivo, Daniel E. 0000-0002-4822-317X","orcid":"https://orcid.org/0000-0002-4822-317X","contributorId":292141,"corporation":false,"usgs":true,"family":"Restivo","given":"Daniel","email":"","middleInitial":"E.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843920,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70237339,"text":"70237339 - 2022 - Final report: Understanding historical and predicting future lake temperatures in North and South Dakota","interactions":[],"lastModifiedDate":"2022-10-11T18:02:08.115406","indexId":"70237339","displayToPublicDate":"2021-12-01T13:01:08","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Final report: Understanding historical and predicting future lake temperatures in North and South Dakota","docAbstract":"Lakes, reservoirs, and ponds are central and integral features of the landscape of the North Central US. These water bodies provide aesthetic, cultural, and ecosystem services to surrounding wildlife and human communities. Lakes are warming, resulting in the loss of many native fish. In order to manage economically valuable fisheries and other ecosystem services provided by lakes, it is important for managers to have access to accurate estimates of water temperature to better understand past change and to plan for potential future further warming. These data are invaluable for making decisions such as whether to continue stocking plans as usual in certain lakes or how to set specific harvest limits. This project developed new state-of-the-art methods to model historical thermal habitat for thousands of lakes in the Midwest US.","language":"English","publisher":"North Central Climate Adaptation Science Center","usgsCitation":"Read, J., 2022, Final report: Understanding historical and predicting future lake temperatures in North and South Dakota, 15 p.","productDescription":"15 p.","ipdsId":"IP-123312","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":408173,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":408143,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencebase.gov/catalog/item/61af7eb2d34eb622f69b1200"}],"country":"United States","state":"North Dakota, South 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,{"id":70229457,"text":"70229457 - 2022 - Supplemental habitat is reservoir dependent: Identifying optimal planting decision using Bayesian Decision Networks","interactions":[],"lastModifiedDate":"2022-03-09T15:49:19.092846","indexId":"70229457","displayToPublicDate":"2021-12-01T09:44:54","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Supplemental habitat is reservoir dependent: Identifying optimal planting decision using Bayesian Decision Networks","docAbstract":"<p><span>Environmental management often requires making decisions despite system uncertainty. One such example is mudflat&nbsp;</span>mediation<span>&nbsp;in flood control reservoirs. Reservoir mudflats limit development of diverse fish assemblages due to the lack of structural habitat provided by plants. Seeding mudflats with agricultural plants may mimic floodplain&nbsp;wetlands&nbsp;once inundated and provide fish habitat and achieve habitat management objectives. However, planting success is uncertain because of unpredictable water level fluctuations that affect plant survival and growth. Decision support tools can account for uncertainty that influences decision outcomes and reduce the risk in reservoir mudflat planting decisions. We used Bayesian decision networks and sensitivity analyses to quantify uncertainty surrounding mudflat plantings as supplemental fish habitat in four northwest Mississippi reservoirs. When averaged across all uncertainty, planting was the optimal decision only in Enid Lake. Response profiles indicated planting decisions depended on elevation contours within Enid, Sardis, and Grenada reservoirs. No planting was optimal at all elevations for Arkabutla Lake. These results provide a quantified basis for establishing best management practices and identify key system states that influence decision outcomes. The process used in this study to evaluate planting decisions can be applied to any reservoir by modifying reservoir dependent inputs to evaluate planting decisions to provide supplemental fish habitat.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2021.114139","usgsCitation":"Norris, D.M., Colvin, M.E., Miranda, L.E., and Lashley, M.A., 2022, Supplemental habitat is reservoir dependent: Identifying optimal planting decision using Bayesian Decision Networks: Journal of Environmental Management, v. 304, 114139, 12 p., https://doi.org/10.1016/j.jenvman.2021.114139.","productDescription":"114139, 12 p.","ipdsId":"IP-125224","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":396920,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.15380859375,\n              33.43144133557529\n            ],\n            [\n              -88.681640625,\n              33.43144133557529\n            ],\n            [\n              -88.681640625,\n              34.96699890670367\n            ],\n            [\n              -90.15380859375,\n              34.96699890670367\n            ],\n            [\n              -90.15380859375,\n              33.43144133557529\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"304","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Norris, D. M.","contributorId":271192,"corporation":false,"usgs":false,"family":"Norris","given":"D.","email":"","middleInitial":"M.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":837529,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Colvin, M. E.","contributorId":275884,"corporation":false,"usgs":false,"family":"Colvin","given":"M.","email":"","middleInitial":"E.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":837530,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":837531,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lashley, M. A.","contributorId":278603,"corporation":false,"usgs":false,"family":"Lashley","given":"M.","email":"","middleInitial":"A.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":837532,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70236428,"text":"70236428 - 2022 - Multiple lines of evidence for identifying potential hazards to fish from contaminants of emerging concern in Great Lakes tributaries","interactions":[],"lastModifiedDate":"2022-09-07T12:05:20.977639","indexId":"70236428","displayToPublicDate":"2021-11-30T07:00:40","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"Multiple lines of evidence for identifying potential hazards to fish from contaminants of emerging concern in Great Lakes tributaries","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Contaminants of emerging concern (CECs; e.g., pharmaceuticals, flame retardants, pesticides, and industrial chemicals) are omnipresent throughout tributaries to the Great Lakes. Furthermore, CECs are often present at concentrations that are potentially hazardous to aquatic species. Since 2010, we characterized the presence of CECs at 309 sites within 47 Great Lakes tributaries and characterized responses of fathead minnow (<i>Pimephales promelas</i>) exposed to river water at a subset of 26 sites within four tributaries. Our work resulted in three independent lines of evidence related to the potential hazards of CEC exposure to fish. First, vulnerability (where vulnerability refers to likelihood) of surface waters to CEC presence was predicted using select watershed characteristics. Second, hazard to fish (where hazard means the potential for adverse biological responses) was predicted using screening values for a subset of CECs. Third, biological responses of fathead minnow exposed to river water in streamside exposures were measured. We assessed the congruence of these three lines of evidence for identifying sites with elevated hazards to CEC exposure. Predicted vulnerability and hazards agreed at 66% of all sites. Where the two indices did not agree, vulnerability often underestimated predicted hazard. When compared with measured biological responses from streamside exposures, predicted hazards agreed for 42% of samples. Furthermore, when predicted hazards for specific effect categories were compared with similar measured biomarkers, 26% and 46% of samples agreed for reproductive and physiological effect categories, respectively. Overall, vulnerability and hazard predictions tended to overestimate the measured biological responses, providing a protective estimate of the potential hazards of CEC exposure to fish. When used together, these three approaches can help resource managers prioritize management activities in minimizing hazards of CEC exposure and can be used by researchers to prioritize studies focused on understanding the hazards of CEC exposure to fish.<span>&nbsp;</span><i>Integr Environ Assess Manag</i><span>&nbsp;</span>2022;18:1246–1259.&nbsp;© 2021 The Authors.<span>&nbsp;</span><i>Integrated Environmental Assessment and Management</i><span>&nbsp;</span>published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology &amp; Chemistry (SETAC). This article has been contributed to by US Government employees and their work is in the public domain in the USA.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/ieam.4561","usgsCitation":"Elliott, S.M., Gefell, D.J., Kiesling, R.L., Hummel, S.L., King, C.K., Christen, C.H., Kohno, S., and Schoenfuss, H.L., 2022, Multiple lines of evidence for identifying potential hazards to fish from contaminants of emerging concern in Great Lakes tributaries: Integrated Environmental Assessment and Management, v. 18, no. 5, p. 1246-1259, https://doi.org/10.1002/ieam.4561.","productDescription":"14 p.","startPage":"1246","endPage":"1259","ipdsId":"IP-131247","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":449496,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ieam.4561","text":"Publisher Index Page"},{"id":406297,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Great Lakes","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.4169921875,\n              41.178653972331674\n            ],\n            [\n              -75.673828125,\n              41.178653972331674\n            ],\n            [\n              -75.673828125,\n              48.8936153614802\n            ],\n            [\n              -92.4169921875,\n              48.8936153614802\n            ],\n            [\n              -92.4169921875,\n              41.178653972331674\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"18","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-11-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Elliott, Sarah M. 0000-0002-1414-3024 selliott@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-3024","contributorId":1472,"corporation":false,"usgs":true,"family":"Elliott","given":"Sarah","email":"selliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":850989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gefell, Daniel J.","contributorId":138671,"corporation":false,"usgs":false,"family":"Gefell","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":850990,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kiesling, Richard L. 0000-0002-3017-1826 kiesling@usgs.gov","orcid":"https://orcid.org/0000-0002-3017-1826","contributorId":1837,"corporation":false,"usgs":true,"family":"Kiesling","given":"Richard","email":"kiesling@usgs.gov","middleInitial":"L.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":851075,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hummel, Stephanie L.","contributorId":296241,"corporation":false,"usgs":false,"family":"Hummel","given":"Stephanie","email":"","middleInitial":"L.","affiliations":[{"id":16956,"text":"US Fish & Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":851076,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"King, Chryssa K.","contributorId":296243,"corporation":false,"usgs":false,"family":"King","given":"Chryssa","email":"","middleInitial":"K.","affiliations":[{"id":20306,"text":"St. Cloud State University","active":true,"usgs":false}],"preferred":false,"id":851077,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Christen, Charles H.","contributorId":296267,"corporation":false,"usgs":false,"family":"Christen","given":"Charles","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":851078,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kohno, Satomi","contributorId":264174,"corporation":false,"usgs":false,"family":"Kohno","given":"Satomi","email":"","affiliations":[],"preferred":false,"id":851079,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schoenfuss, Heiko L.","contributorId":76409,"corporation":false,"usgs":false,"family":"Schoenfuss","given":"Heiko","email":"","middleInitial":"L.","affiliations":[{"id":13317,"text":"Saint Cloud State University","active":true,"usgs":false}],"preferred":false,"id":851080,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70226723,"text":"70226723 - 2022 - The silence of the clams: Forestry registered pesticides as multiple stressors on soft-shell clams","interactions":[],"lastModifiedDate":"2022-03-15T16:17:45.230156","indexId":"70226723","displayToPublicDate":"2021-11-29T06:41:43","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"The silence of the clams: Forestry registered pesticides as multiple stressors on soft-shell clams","docAbstract":"<div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0045\">Contaminants are ubiquitous in the environment, often reaching aquatic systems. Combinations of forestry use pesticides have been detected in both water and aquatic organism tissue samples in coastal systems. Yet, most toxicological studies focus on the effects of these pesticides individually, at high doses, and over acute time periods, which, while key for establishing toxicity and safe limits, are rarely environmentally realistic. We examined chronic (90&nbsp;days) exposure by the soft-shell clam,<span>&nbsp;</span><i>Mya arenaria</i><span>, to environmentally relevant concentrations of four pesticides registered for use in forestry (atrazine, 5&nbsp;μg/L; hexazinone, 0.3&nbsp;μg/L; indaziflam, 5&nbsp;μg/L; and&nbsp;bifenthrin, 1.5&nbsp;μg/g&nbsp;organic carbon&nbsp;(OC)). Pesticides were tested individually and in combination, except bifenthrin, which was tested only in combination with the other three. We measured shell growth and condition index every 30&nbsp;days, as well as feeding rates, mortality, and chemical concentrations in tissue from a subset of clams at the end of the experiment to measure contaminant uptake. Indaziflam caused a high mortality rate (max. 36%), followed by atrazine (max. 27%), both individually as well as in combination with other pesticides. Additionally, indaziflam concentrations in tissue (61.70–152.56&nbsp;ng/g) were higher than those of atrazine (26.48–48.56&nbsp;ng/g), despite equal dosing concentrations, indicating higher tissue accumulation. Furthermore, clams exposed to indaziflam and hexazinone experienced reduced condition index and clearance rates individually and in combination with other compounds; however, the two combined did not result in significant mortality. These two compounds, even at environmentally relevant concentrations, affected a non-target organism and, in the case of the herbicide indaziflam, accumulated in clam tissue and appeared more toxic than other tested pesticides. These findings underscore the need for more comprehensive studies combining multiple compounds at relevant concentrations to understand their impacts on&nbsp;aquatic ecosystems.</span></p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2021.152053","usgsCitation":"Tissot, A.G., Granek, E.F., Thompson, A.W., Hladik, M.L., Moran, P.W., and Scully-Engelmeyer, K., 2022, The silence of the clams: Forestry registered pesticides as multiple stressors on soft-shell clams: Science of the Total Environment, v. 819, 152053, 15 p., https://doi.org/10.1016/j.scitotenv.2021.152053.","productDescription":"152053, 15 p.","ipdsId":"IP-134372","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":449503,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2021.152053","text":"Publisher Index Page"},{"id":392564,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"819","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tissot, Alexandra G.","contributorId":269833,"corporation":false,"usgs":false,"family":"Tissot","given":"Alexandra","email":"","middleInitial":"G.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":827973,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granek, Elise F.","contributorId":176630,"corporation":false,"usgs":false,"family":"Granek","given":"Elise","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":827974,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Anne W","contributorId":269834,"corporation":false,"usgs":false,"family":"Thompson","given":"Anne","email":"","middleInitial":"W","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":827975,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":203857,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":827976,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moran, Patrick W. 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":489,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":827977,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scully-Engelmeyer, Kaegen","contributorId":269835,"corporation":false,"usgs":false,"family":"Scully-Engelmeyer","given":"Kaegen","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":827978,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70229725,"text":"70229725 - 2022 - Influence of seasonal extreme flows on Brook Trout recruitment","interactions":[],"lastModifiedDate":"2022-03-16T16:35:05.386435","indexId":"70229725","displayToPublicDate":"2021-11-27T11:31:14","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Influence of seasonal extreme flows on Brook Trout recruitment","docAbstract":"<p><span>Populations of Brook Trout&nbsp;</span><i>Salvelinus fontinalis</i><span>&nbsp;exhibit large variation in annual recruitment (abundance of young of the year [age 0]), which is likely a product of density-dependent and density-independent factors. Quantifying the importance of each of these mechanisms in regulating Brook Trout recruitment would be valuable to managers that are responsible for the conservation of this iconic species throughout its native range. We analyzed a time series of age-0 and adult Brook Trout density data collected from 10 streams in the Sinnemahoning Creek watershed, north-central Pennsylvania (2010–2019), using Bayesian hierarchical modeling to partition the density-dependent effects of adult density and the density-independent effects of elevated streamflow on Brook Trout recruitment. Multiple models were examined, and the top-ranked model showed that Brook Trout recruitment followed a Ricker stock–recruitment relationship, with annual recruitment negatively influenced by maximum streamflow during the spring season (March–April). This model will be useful in predicting future variation in Brook Trout recruitment under climate change scenarios in which the frequency and intensity of high-flow events are expected to increase.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10347","usgsCitation":"Sweka, J., and Wagner, T., 2022, Influence of seasonal extreme flows on Brook Trout recruitment: North American Journal of Fisheries Management, v. 151, no. 2, p. 231-244, https://doi.org/10.1002/tafs.10347.","productDescription":"14 p.","startPage":"231","endPage":"244","ipdsId":"IP-130483","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":397180,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Sinnemahoning Creek watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.64013671875,\n              41.22824901518529\n            ],\n            [\n              -77.67333984375,\n              41.22824901518529\n            ],\n            [\n              -77.67333984375,\n              41.96765920367816\n            ],\n            [\n              -78.64013671875,\n              41.96765920367816\n            ],\n            [\n              -78.64013671875,\n              41.22824901518529\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"151","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-01-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Sweka, John A.","contributorId":288581,"corporation":false,"usgs":false,"family":"Sweka","given":"John A.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":838108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":838107,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70228703,"text":"70228703 - 2022 - The developing zebrafish kidney is impaired by Deepwater Horizon crude oil early-life stage exposure: A molecular to whole-organism perspective","interactions":[],"lastModifiedDate":"2022-02-17T16:17:44.793961","indexId":"70228703","displayToPublicDate":"2021-11-26T10:15:29","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The developing zebrafish kidney is impaired by <i>Deepwater Horizon</i> crude oil early-life stage exposure: A molecular to whole-organism perspective","title":"The developing zebrafish kidney is impaired by Deepwater Horizon crude oil early-life stage exposure: A molecular to whole-organism perspective","docAbstract":"<p><span>Crude oil is known to induce developmental defects in teleost fish exposed during early life stages (ELSs). While most studies in recent years have focused on cardiac endpoints, evidence from whole-animal transcriptomic analyses and studies with individual polycyclic aromatic hydrocarbons (PAHs) indicate that the developing kidney (i.e., pronephros) is also at risk. Considering the role of the pronephros in&nbsp;osmoregulation, and the common observance of edema in oil-exposed ELS fish, surprisingly little is known regarding the effects of oil exposure on pronephros development and function. Using zebrafish (</span><i>Danio rerio</i><span>) ELSs, we assessed the transcriptional and morphological responses to two dilutions of high-energy water accommodated fractions (HEWAF) of oil from the&nbsp;</span><i>Deepwater Horizon</i><span>&nbsp;oil spill using a combination of&nbsp;qPCR&nbsp;and whole-mount&nbsp;</span><i>in situ</i><span>&nbsp;hybridization (WM-ISH) of candidate genes involved in pronephros development and function, and immunohistochemistry (WM-IHC). To assess potential functional impacts on the pronephros, three 24&nbsp;h osmotic challenges (2 hypo-osmotic, 1 near iso‐osmotic) were implemented at two developmental time points (48 and 96&nbsp;h post fertilization; hpf) following exposure to HEWAF. Changes in transcript expression level and location specific to different regions of the pronephros were observed by qPCR and WM-ISH. Further, pronephros morphology was altered in crude oil exposed larvae, characterized by failed glomerulus and neck segment formation, and straightening of the pronephric tubules. The osmotic challenges at 96 hpf greatly exacerbated edema in both HEWAF-exposed groups regardless of osmolarity. By contrast, larvae at 48 hpf exhibited no edema prior to the osmotic challenge, but previous HEWAF exposure elicited a concentration-response increase in edema at hypo-osmotic conditions that appeared to have been largely alleviated under near iso‐osmotic conditions. In summary, ELS HEWAF exposure impaired proper pronephros development in zebrafish, which coupled with cardiotoxic effects, most likely reduced or inhibited pronephros fluid clearance capacity and increased edema formation.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2021.151988","usgsCitation":"Bonatesta, F., Emadi, C., Price, E.R., Wang, Y., Greer, J.B., Xu, E.G., Schlenk, D., Grosell, M., and Mager, E.M., 2022, The developing zebrafish kidney is impaired by Deepwater Horizon crude oil early-life stage exposure: A molecular to whole-organism perspective: Science of the Total Environment, v. 808, 151988, 15 p., https://doi.org/10.1016/j.scitotenv.2021.151988.","productDescription":"151988, 15 p.","ipdsId":"IP-134626","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":449509,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.scitotenv.2021.151988","text":"External Repository"},{"id":396107,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"808","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bonatesta, Fabrizio","contributorId":279576,"corporation":false,"usgs":false,"family":"Bonatesta","given":"Fabrizio","email":"","affiliations":[{"id":57294,"text":"Department of Biological Sciences and the Advanced Environmental Research Institute, University of North Texas, Denton, Texas, USA","active":true,"usgs":false}],"preferred":false,"id":835145,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Emadi, Cameron","contributorId":279577,"corporation":false,"usgs":false,"family":"Emadi","given":"Cameron","email":"","affiliations":[{"id":57294,"text":"Department of Biological Sciences and the Advanced Environmental Research Institute, University of North Texas, Denton, Texas, USA","active":true,"usgs":false}],"preferred":false,"id":835146,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Price, Edwin R.","contributorId":279578,"corporation":false,"usgs":false,"family":"Price","given":"Edwin","email":"","middleInitial":"R.","affiliations":[{"id":57294,"text":"Department of Biological Sciences and the Advanced Environmental Research Institute, University of North Texas, Denton, Texas, USA","active":true,"usgs":false}],"preferred":false,"id":835147,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Yadong","contributorId":279579,"corporation":false,"usgs":false,"family":"Wang","given":"Yadong","email":"","affiliations":[{"id":57296,"text":"Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA","active":true,"usgs":false}],"preferred":false,"id":835148,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Greer, Justin Blaine 0000-0001-6660-9976","orcid":"https://orcid.org/0000-0001-6660-9976","contributorId":265183,"corporation":false,"usgs":true,"family":"Greer","given":"Justin","email":"","middleInitial":"Blaine","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":835149,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Xu, Elvis Genbo","contributorId":279580,"corporation":false,"usgs":false,"family":"Xu","given":"Elvis","email":"","middleInitial":"Genbo","affiliations":[{"id":57298,"text":"Department of Biology, University of Southern Denmark, Odense, Denmark","active":true,"usgs":false}],"preferred":false,"id":835150,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schlenk, Daniel","contributorId":221106,"corporation":false,"usgs":false,"family":"Schlenk","given":"Daniel","email":"","affiliations":[{"id":12655,"text":"University of California, Riverside","active":true,"usgs":false}],"preferred":false,"id":835151,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Grosell, Martin","contributorId":279581,"corporation":false,"usgs":false,"family":"Grosell","given":"Martin","email":"","affiliations":[{"id":57299,"text":"Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, Florida, USA","active":true,"usgs":false}],"preferred":false,"id":835152,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mager, Edward M.","contributorId":279582,"corporation":false,"usgs":false,"family":"Mager","given":"Edward","email":"","middleInitial":"M.","affiliations":[{"id":57294,"text":"Department of Biological Sciences and the Advanced Environmental Research Institute, University of North Texas, Denton, Texas, USA","active":true,"usgs":false}],"preferred":false,"id":835153,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70230210,"text":"70230210 - 2022 - Loggerhead marine turtles (Caretta caretta) nesting at smaller sizes than expected in the Gulf of Mexico: Implications for turtle behavior, population dynamics, and conservation","interactions":[],"lastModifiedDate":"2023-06-09T13:55:46.784692","indexId":"70230210","displayToPublicDate":"2021-11-25T10:23:07","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Loggerhead marine turtles (<i>Caretta caretta</i>) nesting at smaller sizes than expected in the Gulf of Mexico: Implications for turtle behavior, population dynamics, and conservation","title":"Loggerhead marine turtles (Caretta caretta) nesting at smaller sizes than expected in the Gulf of Mexico: Implications for turtle behavior, population dynamics, and conservation","docAbstract":"<p><span>Estimates of parameters that affect population dynamics, including the size at which individuals reproduce, are crucial for efforts aimed at understanding how imperiled species may recover from the numerous threats they face. In this study, we observed loggerhead marine turtles (</span><i>Caretta caretta</i><span>) nesting at three sites in the Gulf of Mexico at sizes assumed nonreproductive in this region (≤87 cm curved carapace length-notch [CCL-n]). These smaller individuals ranged from 74.0 to 86.9&nbsp;cm CCL-n, and the proportion of smaller nesting loggerheads was 0.13 across three study sites: Gulf Shores, AL; Dry Tortugas National Park, Florida (FL); and Everglades National Park (ENP), FL. The greatest proportion of smaller nesters was observed at ENP at 0.24. Tracking data indicated that the smaller nesters migrated shorter distances and swam in shallower waters compared to the larger nesting loggerheads (&gt;87 cm CCL-n) in our dataset. These results provide valuable information on two of the smallest subpopulations of NW Atlantic loggerheads and understudied ENP turtles. Our results have potential applications in the classification and interpretation of stranding limits and bycatch estimates, population modeling (e.g., stage durations and fecundity), and understanding threats and subpopulation recovery efforts for multiple subpopulations of this imperiled species.</span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.581","usgsCitation":"Benscoter, A., Smith, B., and Hart, K., 2022, Loggerhead marine turtles (Caretta caretta) nesting at smaller sizes than expected in the Gulf of Mexico: Implications for turtle behavior, population dynamics, and conservation: Conservation Science and Practice, v. 4, no. 1, e581, 14 p.; Data Release, https://doi.org/10.1111/csp2.581.","productDescription":"e581, 14 p.; Data Release","ipdsId":"IP-128726","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":449512,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.581","text":"Publisher Index Page"},{"id":398119,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417872,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96S4B8P"}],"country":"United States","state":"Alabama, Florida","city":"Gulf Shores","otherGeospatial":"Dry Tortugas National Park, Gulf of Mexico, Everglades National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.02108764648438,\n              30.181934730780572\n            ],\n            [\n              -87.506103515625,\n              30.181934730780572\n            ],\n            [\n              -87.506103515625,\n              30.349176094149833\n  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Solutions","active":true,"usgs":false}],"preferred":false,"id":839564,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":218324,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":839565,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70227187,"text":"70227187 - 2022 - Calcareous plankton biostratigraphic fidelity and species richness during the last 10 m.y. of the Cretaceous at Blake Plateau, subtropical North Atlantic","interactions":[],"lastModifiedDate":"2022-01-04T14:53:03.822031","indexId":"70227187","displayToPublicDate":"2021-11-25T08:48:06","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1344,"text":"Cretaceous Research","active":true,"publicationSubtype":{"id":10}},"title":"Calcareous plankton biostratigraphic fidelity and species richness during the last 10 m.y. of the Cretaceous at Blake Plateau, subtropical North Atlantic","docAbstract":"<p id=\"abspara0010\">Species distributions of well-preserved and diverse assemblages of planktonic foraminifera and calcareous nannofossils spanning the last 10 m.y. of the Cretaceous (middle Campanian through Maastrichtian) are analyzed from samples taken across a 1400&nbsp;m depth transect at Blake Nose in the western subtropical North Atlantic (Ocean Drilling Program Sites 1049, 1050 and 1052). Age models constructed by integrating foraminiferal, calcareous nannofossil, and magnetic polarity datum events provide a reliable framework for temporal correlation of the sites. This framework enables comparisons of species richness and abundance among sites and evaluation of the reliability of first and last appearance datums for regional and global correlation. Among the standard primary zonal marker datums, six of nine planktonic foraminifer and six of seven calcareous nannofossil events are considered reliable for constraining the age-depth models. Secondary datum ages calculated for 17 planktonic foraminiferal events suggest correlation offsets among the three sites of &lt;0.1 m.y. for four species (including<span>&nbsp;</span><i>Pseudoguembelina praehariaensis</i><span>&nbsp;</span>Tur and Huber n. sp.), 0.1–0.5 m.y. for six events, and 0.6–1.0 m.y. for eight species. Secondary calcareous nannofossil datum ages calculated for six species show less reliability, with offsets of &lt;0.1 m.y. for one species, 0.7 m.y. for one species, and 1.0–1.5 m.y. for the remaining four species. The distinctly identifiable new species<span>&nbsp;</span><i>Trinitella suturis</i><span>&nbsp;</span>Tur and Huber has lowest occurrences that are diachronous by as much as 1.73 m.y. among the Blake Nose sites. Occurrence rarity is the most likely explanation for the age offsets of this and other diachronous species.</p><p id=\"abspara0015\">Planktonic foraminiferal assemblages show no significant differences in species composition and relative abundance among the three sites, suggesting the sites were all located below a single oligotrophic surface water mass. Species richness counts pooled in 200 kyr bins for the Blake Nose sites reveals high species origination rates from the late Campanian through early Maastrichtian and highest species richness (51–63 species) during the Maastrichtian. The only significant extinction pulse during the mid-Campanian through Maastrichtian occurs between 66.2 and 66.4&nbsp;Ma with loss of five species representing ∼9% of the assemblage. These extinctions occur at the same time as a globally recognized warming event correlated with a pulse of eruptions at the Deccan Traps in India.</p><p id=\"abspara0020\">Calcareous nannofossil assemblages show no significant change in relative abundance among the three sites. Two significant extinction events are documented: one from 75.20 to 75.40&nbsp;Ma with a loss of six species representing ∼6% of the assemblage and one from 66.2 to 66.4&nbsp;Ma with a loss of nine species representing ∼9% of the assemblage. The former event is associated with a hiatus at the base of Zone CC24, and the latter corresponds to Deccan Trap warming.</p><p id=\"abspara0025\">Hiatuses are identified at all three Blake Nose sites near the base of the Maastrichtian (∼71.5&nbsp;Ma; lowermost<span>&nbsp;</span><i>Pseudoguembelina palpebra</i>/CC24 Zone) and only at the deeper Sites 1049 and 1050 in the mid-Maastrichtian (∼67.2&nbsp;Ma;<span>&nbsp;</span><i>Pseudoguembelina hariaensis</i>/CC26b Zone) and the mid-Campanian (∼75.9&nbsp;Ma; base of<span>&nbsp;</span><i>Radotruncana calcarata</i>/CC22 Zone). Slumping from across the shelf and slope could have caused the early Maastrichtian hiatus while changes in the pattern and strength of deep-water circulation may have been responsible for the mid-Maastrichtian and mid-Campanian hiatuses.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.cretres.2021.105095","usgsCitation":"Huber, B.T., Tur, N.A., Self-Trail, J., and MacLeod, K.G., 2022, Calcareous plankton biostratigraphic fidelity and species richness during the last 10 m.y. of the Cretaceous at Blake Plateau, subtropical North Atlantic: Cretaceous Research, v. 131, 105095, 42 p., https://doi.org/10.1016/j.cretres.2021.105095.","productDescription":"105095, 42 p.","ipdsId":"IP-132563","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":449513,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.cretres.2021.105095","text":"Publisher Index Page"},{"id":393850,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Blake Plateau, subtropical North Atlantic","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77,\n              29.5\n            ],\n            [\n              -76,\n              29.5\n            ],\n            [\n              -76,\n              30.5\n            ],\n            [\n              -77,\n              30.5\n            ],\n            [\n              -77,\n              29.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"131","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Huber, Brian T.","contributorId":270771,"corporation":false,"usgs":false,"family":"Huber","given":"Brian","email":"","middleInitial":"T.","affiliations":[{"id":36858,"text":"Smithsonian","active":true,"usgs":false}],"preferred":false,"id":830008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tur, Nataliya A.","contributorId":270772,"corporation":false,"usgs":false,"family":"Tur","given":"Nataliya","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":830009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Self-Trail, Jean 0000-0002-3018-4985 jstrail@usgs.gov","orcid":"https://orcid.org/0000-0002-3018-4985","contributorId":147370,"corporation":false,"usgs":true,"family":"Self-Trail","given":"Jean","email":"jstrail@usgs.gov","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":830010,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"MacLeod, Kenneth G.","contributorId":270773,"corporation":false,"usgs":false,"family":"MacLeod","given":"Kenneth","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":830011,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70227326,"text":"70227326 - 2022 - Factors Affecting Groundwater Quality Used for Domestic Supply in Marcellus Shale Region of North-Central and North-East Pennsylvania, USA","interactions":[],"lastModifiedDate":"2022-01-10T12:59:36.251299","indexId":"70227326","displayToPublicDate":"2021-11-24T06:56:57","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Factors Affecting Groundwater Quality Used for Domestic Supply in Marcellus Shale Region of North-Central and North-East Pennsylvania, USA","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\"><span>Factors affecting groundwater quality used for domestic supply within the Marcellus Shale footprint in north-central and north-east Pennsylvania are identified using a combination of spatial, statistical, and geochemical modeling. Untreated groundwater, sampled during 2011–2017 from 472 domestic wells within the study area, exhibited wide ranges in pH (4.5–9.3), total dissolved solids (TDS, 22–1960&nbsp;mg/L), sodium (0.3–760&nbsp;mg/L), chloride (0.3–1020&nbsp;mg/L), bromide (&lt;0.01–8.6&nbsp;mg/L), and methane (&lt;0.001–77&nbsp;mg/L). The wells had depths ranging from 10 to 394&nbsp;m; 69.5 percent were completed in&nbsp;sandstone&nbsp;bedrock, 19.3 percent in shale, 4.2 percent in&nbsp;siltstone, 4 percent in carbonate, and 3 percent in unconsolidated alluvial or glacial deposits. Groundwater quality in the Delaware River watershed, in the eastern part of the study area where Marcellus gas has not been developed, was similar to that in the Susquehanna, Allegheny, and Genesee River watersheds in the western part of the study area where&nbsp;natural gas production&nbsp;from Marcellus Shale has been ongoing since 2008. Most groundwaters were calcium/bicarbonate type with near-neutral pH; approximately 10 percent were sodium/bicarbonate and 1 percent were sodium/chloride types. Sodium-enriched waters, which were mostly from shale and siltstone aquifers, had the greatest frequency of elevated pH (&gt;8.5) and elevated concentrations of TDS (&gt;250&nbsp;mg/L), bromide (&gt;0.15&nbsp;mg/L), methane (&gt;7.0&nbsp;mg/L), and lithium (&gt;60&nbsp;μg/L). Geochemical models indicate these characteristics could result from progressive mineral dissolution combined with cation exchange, plus mixing with locally important&nbsp;salinity&nbsp;sources, including as much as 0.7 percent Appalachian Basin brine and/or road-deicing salt. Multivariate correlation models suggest the observed variability in methane concentrations may be attributed to several environmental factors, such as geochemical evolution along&nbsp;groundwater flow&nbsp;paths,&nbsp;redox conditions, and/or mixing with saline groundwater or brine. Most samples having elevated methane were from shale aquifers, which were mainly in the Susquehanna River basin and had the greatest density of gas wells compared to other&nbsp;</span>lithologies<span>. Samples having elevated methane were also observed in the Delaware River watershed and other areas outside gas development.&nbsp;Isotopic compositions&nbsp;of methane for a subset of 39 samples (selected because of elevated methane) and relatively high ratios of methane to ethane in those samples indicated methane could be derived from microbial gas mixed with thermogenic gas that may have undergone degradation and/or fractionation during migration. The methods used in this study could be broadly applicable to understanding major factors affecting groundwater quality, particularly for explaining variations in&nbsp;ionic composition&nbsp;with pH and identifying sources of salinity and associated constituents (e.g. sodium, chloride, bromide, lithium, methane) that may have geogenic or anthropogenic origins.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2021.105149","usgsCitation":"Cravotta, C., Senior, L.A., and Conlon, M.D., 2022, Factors Affecting Groundwater Quality Used for Domestic Supply in Marcellus Shale Region of North-Central and North-East Pennsylvania, USA: Applied Geochemistry, v. 137, 105149, 19 p., https://doi.org/10.1016/j.apgeochem.2021.105149.","productDescription":"105149, 19 p.","ipdsId":"IP-129093","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":449515,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2021.105149","text":"Publisher Index Page"},{"id":394090,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Marcellus Shale region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.640625,\n              42.06560675405716\n            ],\n            [\n              -76.728515625,\n              40.91351257612758\n            ],\n            [\n              -75.0146484375,\n              40.94671366508002\n            ],\n            [\n              -74.8828125,\n              41.21172151054787\n            ],\n            [\n              -74.8388671875,\n              41.44272637767212\n            ],\n            [\n              -75.1904296875,\n              42.032974332441405\n            ],\n            [\n              -76.640625,\n              42.06560675405716\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"137","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cravotta, Charles A. III 0000-0003-3116-4684","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":207249,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles A.","suffix":"III","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":830475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senior, Lisa A. 0000-0003-2629-1996 lasenior@usgs.gov","orcid":"https://orcid.org/0000-0003-2629-1996","contributorId":2150,"corporation":false,"usgs":true,"family":"Senior","given":"Lisa","email":"lasenior@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":830476,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conlon, Matthew D. 0000-0001-8266-9610 mconlon@usgs.gov","orcid":"https://orcid.org/0000-0001-8266-9610","contributorId":201291,"corporation":false,"usgs":true,"family":"Conlon","given":"Matthew","email":"mconlon@usgs.gov","middleInitial":"D.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":830477,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70226722,"text":"70226722 - 2022 - Identifying factors that affect mountain lake sensitivity to atmospheric nitrogen deposition across multiple scales","interactions":[],"lastModifiedDate":"2021-12-07T12:54:56.960495","indexId":"70226722","displayToPublicDate":"2021-11-19T06:46:45","publicationYear":"2022","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":"Identifying factors that affect mountain lake sensitivity to atmospheric nitrogen deposition across multiple scales","docAbstract":"<div id=\"abs0002\" class=\"abstract author\"><div id=\"abss0002\"><p id=\"spara011\"><span>Increased nitrogen (N) deposition rates over the past century have affected both North American and European mountain&nbsp;lake ecosystems. Ecological sensitivity of mountain lakes to N deposition varies, however, because chemical and biological responses are modulated by local watershed and lake properties. We evaluated predictors of mountain lake sensitivity to atmospheric N deposition across North American and European mountain ranges and included as response variables dissolved inorganic N (DIN&nbsp;=&nbsp;N</span><img src=\"https://sdfestaticassets-us-east-1.sciencedirectassets.com/shared-assets/55/entities/sbnd.gif\" alt=\"single bond\" data-mce-src=\"https://sdfestaticassets-us-east-1.sciencedirectassets.com/shared-assets/55/entities/sbnd.gif\">NH<sub>4</sub><sup>+</sup>&nbsp;+&nbsp;N<img src=\"https://sdfestaticassets-us-east-1.sciencedirectassets.com/shared-assets/55/entities/sbnd.gif\" alt=\"single bond\" data-mce-src=\"https://sdfestaticassets-us-east-1.sciencedirectassets.com/shared-assets/55/entities/sbnd.gif\">NO<sub>3</sub><sup>–</sup><span>) concentrations and&nbsp;phytoplankton&nbsp;biomass. Predictors of these responses were evaluated at three different spatial scales (hemispheric, regional, subregional) using regression tree, random forest, and generalized additive model (GAM) analysis. Analyses agreed that Northern Hemisphere mountain lake DIN was related to N deposition rates and smaller scale spatial variability (e.g., regional variability between North American and European lakes, and subregional variability between mountain ranges). Analyses suggested that DIN, N deposition, and subregional variability were important for Northern Hemisphere mountain lake phytoplankton biomass. Together, these findings highlight the need for finer-scale, subregional analyses (by mountain range) of lake sensitivity to N deposition. Subregional analyses revealed differences in predictor variables of lake sensitivity. In addition to N deposition rates, lake and watershed features such as land cover,&nbsp;bedrock&nbsp;geology, maximum lake depth (Z</span><sub>max</sub>), and elevation were common modulators of lake DIN. Subregional phytoplankton biomass was consistently positively related with total phosphorus (TP) in Europe, while North American locations showed variable relationships with N or P. This study reveals scale-dependent watershed and lake characteristics modulate mountain lake ecological responses to atmospheric N deposition and provides important context to inform empirically based management strategies.</p></div></div><div id=\"abs0003\" class=\"abstract graphical\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2021.117883","usgsCitation":"Burpee, B., Saros, J., Nanus, L., Baron, J., Brahney, J., Christianson, K., Gantz, T., Heard, A., Hundey, B., Koinig, K., Kopacek, J., Moser, K., Nydick, K., Oleksy, I., Sadro, S., Sommaruga, R., Vinebrooke, R., and Williams, J., 2022, Identifying factors that affect mountain lake sensitivity to atmospheric nitrogen deposition across multiple scales: Water Research, v. 209, 117883, 13 p., https://doi.org/10.1016/j.watres.2021.117883.","productDescription":"117883, 13 p.","ipdsId":"IP-129777","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":392565,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"209","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Burpee, Benjamin","contributorId":269807,"corporation":false,"usgs":false,"family":"Burpee","given":"Benjamin","email":"","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":827955,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saros, Jasmine","contributorId":269808,"corporation":false,"usgs":false,"family":"Saros","given":"Jasmine","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":827956,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nanus, Leora","contributorId":269809,"corporation":false,"usgs":false,"family":"Nanus","given":"Leora","affiliations":[{"id":6690,"text":"San Francisco State University","active":true,"usgs":false}],"preferred":false,"id":827957,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baron, Jill S. 0000-0002-5902-6251","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":215101,"corporation":false,"usgs":true,"family":"Baron","given":"Jill S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":827958,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brahney, Janice","contributorId":269810,"corporation":false,"usgs":false,"family":"Brahney","given":"Janice","email":"","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":827959,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Christianson, Kyle","contributorId":269811,"corporation":false,"usgs":false,"family":"Christianson","given":"Kyle","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":827960,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gantz, Taylor","contributorId":269812,"corporation":false,"usgs":false,"family":"Gantz","given":"Taylor","email":"","affiliations":[{"id":37550,"text":"Yale University","active":true,"usgs":false}],"preferred":false,"id":827961,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Heard, Andi","contributorId":269813,"corporation":false,"usgs":false,"family":"Heard","given":"Andi","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":827962,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hundey, Beth","contributorId":269814,"corporation":false,"usgs":false,"family":"Hundey","given":"Beth","email":"","affiliations":[{"id":13255,"text":"University of Western Ontario","active":true,"usgs":false}],"preferred":false,"id":827963,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Koinig, Karin","contributorId":269815,"corporation":false,"usgs":false,"family":"Koinig","given":"Karin","email":"","affiliations":[{"id":17993,"text":"University of Innsbruck","active":true,"usgs":false}],"preferred":false,"id":827964,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kopacek, Jiri","contributorId":269817,"corporation":false,"usgs":false,"family":"Kopacek","given":"Jiri","email":"","affiliations":[{"id":56037,"text":"České Budějovice, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":827965,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Moser, Katrina","contributorId":269819,"corporation":false,"usgs":false,"family":"Moser","given":"Katrina","affiliations":[{"id":13255,"text":"University of Western Ontario","active":true,"usgs":false}],"preferred":false,"id":827966,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Nydick, Koren","contributorId":269821,"corporation":false,"usgs":false,"family":"Nydick","given":"Koren","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":827967,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Oleksy, Isabella A.","contributorId":269822,"corporation":false,"usgs":false,"family":"Oleksy","given":"Isabella A.","affiliations":[{"id":33412,"text":"Cary Institute for Ecosystem Studies","active":true,"usgs":false}],"preferred":false,"id":827968,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Sadro, Steven","contributorId":269824,"corporation":false,"usgs":false,"family":"Sadro","given":"Steven","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":827969,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Sommaruga, Ruben","contributorId":269827,"corporation":false,"usgs":false,"family":"Sommaruga","given":"Ruben","email":"","affiliations":[{"id":17993,"text":"University of Innsbruck","active":true,"usgs":false}],"preferred":false,"id":827970,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Vinebrooke, Rolf","contributorId":269829,"corporation":false,"usgs":false,"family":"Vinebrooke","given":"Rolf","email":"","affiliations":[{"id":36696,"text":"University of Alberta","active":true,"usgs":false}],"preferred":false,"id":827971,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Williams, Jason","contributorId":269831,"corporation":false,"usgs":false,"family":"Williams","given":"Jason","affiliations":[{"id":6912,"text":"Idaho Department of Environmental Quality","active":true,"usgs":false}],"preferred":false,"id":827972,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70226560,"text":"70226560 - 2022 - Predicting coastal impacts by wave farms: A comparison of wave-averaged and wave-resolving models","interactions":[],"lastModifiedDate":"2021-11-29T11:59:05.179476","indexId":"70226560","displayToPublicDate":"2021-11-19T05:56:11","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9933,"text":"Renewable Energy","active":true,"publicationSubtype":{"id":10}},"title":"Predicting coastal impacts by wave farms: A comparison of wave-averaged and wave-resolving models","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">Wave energy converters (WECs) will have to be arranged into arrays of many devices to extract commercially viable amounts of energy. To understand the potential coastal impacts of WEC arrays, most research to date has relied on wave-averaged models given their computational efficiency. However, it is unknown how accurate wave-averaged model predictions are given a lack of validation data and their inherent simplifications of various hydrodynamic processes (e.g., diffraction). This paper compares the predictions of coastal wave farm impacts from a coupled wave-averaged and flow model (Delft3D-SNL-SWAN), to a wave-resolving wave-flow model (SWASH) that intrinsically accounts for more of the relevant physics. Model predictions were compared using an idealized coastal<span>&nbsp;</span>bathymetry<span>&nbsp;</span>over a range of wave conditions and wave farm geometries. Both models predicted the largest impacts (changes to the nearshore hydrodynamics) for large and dense wave farms located close to the shore (1&nbsp;km) and the smallest impacts for the small and widely spaced farm at a greater offshore distance (3&nbsp;km). However, the wave-resolving model generally predicted somewhat larger impacts (i.e., changes to the nearshore wave heights, mean velocities and mean water levels). We also found that coupling the wave-averaged model to a flow model resulted in more realistic downstream predictions than the stand-alone wave-averaged model.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.renene.2021.11.048","usgsCitation":"David, D.R., Rijnsdorp, D.P., Hansen, J., Lowe, R.J., and Buckley, M.L., 2022, Predicting coastal impacts by wave farms: A comparison of wave-averaged and wave-resolving models: Renewable Energy, v. 183, p. 764-780, https://doi.org/10.1016/j.renene.2021.11.048.","productDescription":"17 p.","startPage":"764","endPage":"780","ipdsId":"IP-127957","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":392172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"183","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"David, Daniel R.","contributorId":269522,"corporation":false,"usgs":false,"family":"David","given":"Daniel","email":"","middleInitial":"R.","affiliations":[{"id":24588,"text":"The University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":827356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rijnsdorp, Dirk P.","contributorId":261463,"corporation":false,"usgs":false,"family":"Rijnsdorp","given":"Dirk","email":"","middleInitial":"P.","affiliations":[{"id":17614,"text":"Delft University of Technology","active":true,"usgs":false}],"preferred":false,"id":827357,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Jeff E.","contributorId":146437,"corporation":false,"usgs":false,"family":"Hansen","given":"Jeff E.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":827358,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lowe, Ryan J.","contributorId":152265,"corporation":false,"usgs":false,"family":"Lowe","given":"Ryan","email":"","middleInitial":"J.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":827359,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buckley, Mark L. 0000-0002-1909-4831","orcid":"https://orcid.org/0000-0002-1909-4831","contributorId":203481,"corporation":false,"usgs":true,"family":"Buckley","given":"Mark","email":"","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":827360,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
]}