{"pageNumber":"32","pageRowStart":"775","pageSize":"25","recordCount":10449,"records":[{"id":70242702,"text":"70242702 - 2023 - A simplified method for value of information using constructed scales","interactions":[],"lastModifiedDate":"2023-09-06T16:07:19.463045","indexId":"70242702","displayToPublicDate":"2023-04-10T06:40:27","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":14243,"text":"Decision Analysis","active":true,"publicationSubtype":{"id":10}},"title":"A simplified method for value of information using constructed scales","docAbstract":"<p>The value of information is a central concept in decision analysis, used to quantify how much the expected outcome of a decision would be improved if epistemic uncertainty could be resolved prior to committing to a course of action. One of the challenges, however, in quantitative analysis of the value of information is that the calculations are demanding, especially in requiring predictions of outcomes as a function of alternative actions and sources of uncertainty. However, the concept of value of information is important in early framing of some decisions, before such predictions are available. We propose a novel measure of the value of information based on constructed scales (CVOI), grounded in the algebra of the expected value of perfect information (EVPI), but requiring less of experts and analysts. The CVOI calculation decomposes EVPI into a contribution representing the relevance of the uncertainty to the decision and a contribution representing the magnitude of uncertainty; constructed ratio scales are then proposed for each contribution. We demonstrate the use of CVOI to identify research priorities related to migratory bird management in the face of climate change.</p>","language":"English","publisher":"INFORMS","doi":"10.1287/deca.2023.0474","usgsCitation":"Runge, M.C., Rushing, C., Lyons, J.E., and Rubenstein, M.A., 2023, A simplified method for value of information using constructed scales: Decision Analysis, v. 20, no. 3, p. 220-230, https://doi.org/10.1287/deca.2023.0474.","productDescription":"11 p.","startPage":"220","endPage":"230","ipdsId":"IP-143208","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":415701,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":869411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rushing, Clark S.","contributorId":304139,"corporation":false,"usgs":false,"family":"Rushing","given":"Clark S.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":869412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":222844,"corporation":false,"usgs":true,"family":"Lyons","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":869413,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rubenstein, Madeleine A. 0000-0001-8569-781X mrubenstein@usgs.gov","orcid":"https://orcid.org/0000-0001-8569-781X","contributorId":203206,"corporation":false,"usgs":true,"family":"Rubenstein","given":"Madeleine","email":"mrubenstein@usgs.gov","middleInitial":"A.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":869414,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70244272,"text":"70244272 - 2023 - Assessing large landscape patterns of potential fire connectivity using circuit methods","interactions":[],"lastModifiedDate":"2023-06-12T11:24:05.990292","indexId":"70244272","displayToPublicDate":"2023-04-07T06:17:36","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Assessing large landscape patterns of potential fire connectivity using circuit methods","docAbstract":"<h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Context</h3><p>Minimizing negative impacts of wildfire is a major societal objective in fire-prone landscapes. Models of fire connectivity can aid in understanding and managing wildfires by analyzing potential fire spread and conductance patterns. We define ‘fire connectivity’ as the landscape’s capacity to facilitate fire transmission from one point on the landscape to another.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Objectives</h3><p>Our objective was to develop an approach for modeling fire connectivity patterns representing potential fire spread and relative flow across a broad landscape extent, particularly in the management-relevant context of fuel breaks.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Methods</h3><p>We applied an omnidirectional circuit theory algorithm to model fire connectivity in the Great Basin of the western United States. We used predicted rates of fire spread to approximate conductance and calculated current densities to identify connections among areas with high spread rates. We compared existing and planned fuel breaks with fire connectivity patterns.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Results</h3><p>Fire connectivity and relative flow outputs were characterized by spatial heterogeneity in the landscape’s capacity to transmit fire. We found that existing fuel break networks were denser in areas with relatively diffuse and impeded flow patterns, rather than in locations with channelized flow.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Conclusions</h3><p>This approach could be paired with traditional fire behavior and risk analyses to better understand wildfire spread as well as direct strategic placement of individual fuel breaks within larger networks to constrain fire spread. Thus, our findings may offer local- to landscape-level support for management actions that aim to disrupt fire spread and mitigate the costs of fire on the landscape.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10980-022-01581-y","usgsCitation":"Buchholtz, E.K., Kreitler, J.R., Shinneman, D.J., Crist, M., and Heinrichs, J., 2023, Assessing large landscape patterns of potential fire connectivity using circuit methods: Landscape Ecology, v. 38, p. 1663-1676, https://doi.org/10.1007/s10980-022-01581-y.","productDescription":"14 p.","startPage":"1663","endPage":"1676","ipdsId":"IP-138309","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":443924,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10980-022-01581-y","text":"Publisher Index Page"},{"id":435384,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EA3E00","text":"USGS data release","linkHelpText":"Circuit-based potential fire connectivity and relative flow patterns in the Great Basin, United States, 270 meters"},{"id":417995,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Idaho, Nevada, Oregon, Utah","otherGeospatial":"Great Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.51991830833018,\n              44.189247821751025\n            ],\n            [\n              -121.51991830833018,\n              37.1713133111553\n            ],\n            [\n              -110.58222834230502,\n              37.1713133111553\n            ],\n            [\n              -110.58222834230502,\n              44.189247821751025\n            ],\n            [\n              -121.51991830833018,\n              44.189247821751025\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"38","noUsgsAuthors":false,"publicationDate":"2023-04-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Buchholtz, Erin K. 0000-0002-1985-9531","orcid":"https://orcid.org/0000-0002-1985-9531","contributorId":300162,"corporation":false,"usgs":true,"family":"Buchholtz","given":"Erin","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":875111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kreitler, Jason R. 0000-0002-0243-5281 jkreitler@usgs.gov","orcid":"https://orcid.org/0000-0002-0243-5281","contributorId":4050,"corporation":false,"usgs":true,"family":"Kreitler","given":"Jason","email":"jkreitler@usgs.gov","middleInitial":"R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":875112,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shinneman, Douglas J. 0000-0002-4909-5181 dshinneman@usgs.gov","orcid":"https://orcid.org/0000-0002-4909-5181","contributorId":147745,"corporation":false,"usgs":true,"family":"Shinneman","given":"Douglas","email":"dshinneman@usgs.gov","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":875113,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crist, Michele R.","contributorId":178453,"corporation":false,"usgs":false,"family":"Crist","given":"Michele R.","affiliations":[],"preferred":false,"id":875114,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heinrichs, Julie A. 0000-0001-7733-5034","orcid":"https://orcid.org/0000-0001-7733-5034","contributorId":240888,"corporation":false,"usgs":false,"family":"Heinrichs","given":"Julie A.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":875115,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70241955,"text":"70241955 - 2023 - Assessing arthropod diversity metrics derived from stream environmental DNA: Spatiotemporal variation and paired comparisons with manual sampling","interactions":[],"lastModifiedDate":"2023-04-03T11:43:32.05906","indexId":"70241955","displayToPublicDate":"2023-03-31T06:40:34","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3840,"text":"PeerJ","active":true,"publicationSubtype":{"id":10}},"title":"Assessing arthropod diversity metrics derived from stream environmental DNA: Spatiotemporal variation and paired comparisons with manual sampling","docAbstract":"<h2 class=\"heading\">Background</h2><p>Benthic invertebrate (BI) surveys have been widely used to characterize freshwater environmental quality but can be challenging to implement at desired spatial scales and frequency. Environmental DNA (eDNA) allows an alternative BI survey approach, one that can potentially be implemented more rapidly and cheaply than traditional methods.</p><h2 class=\"heading\">Methods</h2><p>We evaluated eDNA analogs of BI metrics in the Potomac River watershed of the eastern United States. We first compared arthropod diversity detected with primers targeting mitochondrial 16S (mt16S) and cytochrome c oxidase 1 (cox1 or COI) loci to that detected by manual surveys conducted in parallel. We then evaluated spatial and temporal variation in arthropod diversity metrics with repeated sampling in three focal parks. We also investigated technical factors such as filter type used to capture eDNA and PCR inhibition treatment.</p><h2 class=\"heading\">Results</h2><p>Our results indicate that genus-level assessment of eDNA compositions is achievable at both loci with modest technical noise, although database gaps remain substantial at mt16S for regional taxa. While the specific taxa identified by eDNA did not strongly overlap with paired manual surveys, some metrics derived from eDNA compositions were rank-correlated with previously derived biological indices of environmental quality. Repeated sampling revealed statistical differences between high- and low-quality sites based on taxonomic diversity, functional diversity, and tolerance scores weighted by taxon proportions in transformed counts. We conclude that eDNA compositions are efficient and informative of stream condition. Further development and validation of scoring schemes analogous to commonly used biological indices should allow increased application of the approach to management needs.</p>","language":"English","publisher":"PeerJ","doi":"10.7717/peerj.15163","usgsCitation":"Aunins, A.W., Mueller, S.J., Fike, J., and Cornman, R.S., 2023, Assessing arthropod diversity metrics derived from stream environmental DNA: Spatiotemporal variation and paired comparisons with manual sampling: PeerJ, v. 11, e15163, 34 p., https://doi.org/10.7717/peerj.15163.","productDescription":"e15163, 34 p.","ipdsId":"IP-146615","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":444004,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.15163","text":"Publisher Index Page"},{"id":435391,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NNZNVH","text":"USGS data release","linkHelpText":"Metabarcode sequencing of aquatic environmental DNA from the Potomac River Watershed, 2015-2020"},{"id":415048,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","noUsgsAuthors":false,"publicationDate":"2023-03-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Aunins, Aaron W. 0000-0001-5240-1453 aaunins@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-1453","contributorId":5863,"corporation":false,"usgs":true,"family":"Aunins","given":"Aaron","email":"aaunins@usgs.gov","middleInitial":"W.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":868369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mueller, Sara J.","contributorId":303889,"corporation":false,"usgs":false,"family":"Mueller","given":"Sara","email":"","middleInitial":"J.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":868370,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fike, Jennifer A. 0000-0001-8797-7823","orcid":"https://orcid.org/0000-0001-8797-7823","contributorId":207268,"corporation":false,"usgs":true,"family":"Fike","given":"Jennifer A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":868371,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cornman, Robert S. 0000-0001-9511-2192 rcornman@usgs.gov","orcid":"https://orcid.org/0000-0001-9511-2192","contributorId":5356,"corporation":false,"usgs":true,"family":"Cornman","given":"Robert","email":"rcornman@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":868372,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70242902,"text":"70242902 - 2023 - Nitrifying microorganisms linked to biotransformation of perfluoroalkyl sulfonamido precursors from legacy aqueous film forming foams","interactions":[],"lastModifiedDate":"2023-04-21T11:59:14.53401","indexId":"70242902","displayToPublicDate":"2023-03-27T06:56:53","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Nitrifying microorganisms linked to biotransformation of perfluoroalkyl sulfonamido precursors from legacy aqueous film forming foams","docAbstract":"<div class=\"container container_scaled-down\"><div class=\"row\"><div class=\"col-xs-12\"><div id=\"abstractBox\" class=\"article_abstract-content hlFld-Abstract\"><p class=\"articleBody_abstractText\">Drinking water supplies across the United States have been contaminated by firefighting and fire-training activities that use aqueous film-forming foams (AFFF) containing per- and polyfluoroalkyl substances (PFAS). Much of the AFFF is manufactured using electrochemical fluorination by 3M. Precursors with six perfluorinated carbons (C6) and non-fluorinated amine substituents make up approximately one-third of the PFAS in 3M AFFF. C6 precursors can be transformed through nitrification (microbial oxidation) of amine moieties into perfluorohexane sulfonate (PFHxS), a compound of regulatory concern. Here, we report biotransformation of the most abundant C6 sulfonamido precursors in 3M AFFF with available commercial standards (FHxSA, PFHxSAm, and PFHxSAmS) in microcosms representative of the groundwater/surface water boundary. Results show rapid (&lt;1 day) biosorption to living cells by precursors but slow biotransformation into PFHxS (1–100 pM day<sup>–1</sup>). The transformation pathway includes one or two nitrification steps and is supported by the detection of key intermediates using high-resolution mass spectrometry. Increasing nitrate concentrations and total abundance of nitrifying taxa occur in parallel with precursor biotransformation. Together, these data provide multiple lines of evidence supporting microbially limited biotransformation of C6 sulfonamido precursors involving ammonia-oxidizing archaea (<i>Nitrososphaeria</i>) and nitrite-oxidizing bacteria (<i>Nitrospina</i>). Further elucidation of interrelationships between precursor biotransformation and nitrogen cycling in ecosystems would help inform site remediation efforts.</p></div></div></div></div>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.2c07178","usgsCitation":"Ruyle, B.J., Schultes, L., Akob, D., Harris, C.R., Lorah, M.M., Vojta, S., Becanova, J., McCann, S., Pickard, H.M., Pearson, A., Lohmann, R., Vecitis, C.D., and Sunderland, E.M., 2023, Nitrifying microorganisms linked to biotransformation of perfluoroalkyl sulfonamido precursors from legacy aqueous film forming foams: Environmental Science and Technology, v. 14, no. 57, p. 5592-5602, https://doi.org/10.1021/acs.est.2c07178.","productDescription":"11 p.","startPage":"5592","endPage":"5602","ipdsId":"IP-145142","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":444063,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.2c07178","text":"Publisher Index Page"},{"id":416114,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"57","noUsgsAuthors":false,"publicationDate":"2023-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Ruyle, Bridger J. 0000-0003-1941-4732","orcid":"https://orcid.org/0000-0003-1941-4732","contributorId":261820,"corporation":false,"usgs":false,"family":"Ruyle","given":"Bridger","email":"","middleInitial":"J.","affiliations":[{"id":53027,"text":"Harvard John A. Paulson School of Engineering and Applied Sciences","active":true,"usgs":false}],"preferred":false,"id":870154,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schultes, Lara","contributorId":304331,"corporation":false,"usgs":false,"family":"Schultes","given":"Lara","email":"","affiliations":[{"id":66030,"text":"Harvard University, Cambridge MA, USA","active":true,"usgs":false}],"preferred":false,"id":870155,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Akob, Denise M. 0000-0003-1534-3025","orcid":"https://orcid.org/0000-0003-1534-3025","contributorId":204701,"corporation":false,"usgs":true,"family":"Akob","given":"Denise M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":870156,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harris, Cassandra Rashan 0000-0001-9484-5466","orcid":"https://orcid.org/0000-0001-9484-5466","contributorId":257241,"corporation":false,"usgs":true,"family":"Harris","given":"Cassandra","email":"","middleInitial":"Rashan","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":870157,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lorah, Michelle M. 0000-0002-9236-587X","orcid":"https://orcid.org/0000-0002-9236-587X","contributorId":224040,"corporation":false,"usgs":true,"family":"Lorah","given":"Michelle","middleInitial":"M.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":870158,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vojta, Simon","contributorId":304335,"corporation":false,"usgs":false,"family":"Vojta","given":"Simon","email":"","affiliations":[{"id":66031,"text":"University of Rhode Island, Narragansett, RI, USA","active":true,"usgs":false}],"preferred":false,"id":870159,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Becanova, Jitka 0000-0002-3091-1054","orcid":"https://orcid.org/0000-0002-3091-1054","contributorId":304148,"corporation":false,"usgs":false,"family":"Becanova","given":"Jitka","email":"","affiliations":[{"id":37391,"text":"University of Rhode Island, Graduate School of Oceanography","active":true,"usgs":false}],"preferred":false,"id":870160,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McCann, Shelly","contributorId":304336,"corporation":false,"usgs":false,"family":"McCann","given":"Shelly","email":"","affiliations":[{"id":66030,"text":"Harvard University, Cambridge MA, USA","active":true,"usgs":false}],"preferred":false,"id":870161,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pickard, Heidi M. 0000-0001-8312-7522","orcid":"https://orcid.org/0000-0001-8312-7522","contributorId":261821,"corporation":false,"usgs":false,"family":"Pickard","given":"Heidi","email":"","middleInitial":"M.","affiliations":[{"id":53027,"text":"Harvard John A. Paulson School of Engineering and Applied Sciences","active":true,"usgs":false}],"preferred":false,"id":870162,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pearson, Ann","contributorId":62047,"corporation":false,"usgs":true,"family":"Pearson","given":"Ann","email":"","affiliations":[],"preferred":false,"id":870169,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lohmann, Rainer 0000-0001-8796-3229","orcid":"https://orcid.org/0000-0001-8796-3229","contributorId":304150,"corporation":false,"usgs":false,"family":"Lohmann","given":"Rainer","email":"","affiliations":[{"id":37391,"text":"University of Rhode Island, Graduate School of Oceanography","active":true,"usgs":false}],"preferred":false,"id":870163,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Vecitis, Chad D.","contributorId":193842,"corporation":false,"usgs":false,"family":"Vecitis","given":"Chad","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":870164,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sunderland, Elsie M.","contributorId":151016,"corporation":false,"usgs":false,"family":"Sunderland","given":"Elsie","email":"","middleInitial":"M.","affiliations":[{"id":18166,"text":"Harvard University, Cambridge, M","active":true,"usgs":false}],"preferred":false,"id":870165,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70241785,"text":"70241785 - 2023 - Compensatory recruitment unlikely in high-elevation amphibian populations challenged with disease","interactions":[],"lastModifiedDate":"2023-03-27T11:48:07.669554","indexId":"70241785","displayToPublicDate":"2023-03-27T06:43:32","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Compensatory recruitment unlikely in high-elevation amphibian populations challenged with disease","docAbstract":"<ol class=\"\"><li>Understanding the causes of population variation in host response to disease, and the mechanisms of persistence, can serve as vital information for species conservation. One such mechanism of population persistence that has gained support is the demographic process of compensatory recruitment. Host populations may persist by increasing recruitment to compensate for reduced survival due to infection, thus limiting the negative effects of the disease on population trajectories. However, high-elevation populations are inherently vulnerable to stochastic processes and may be limited in their ability to exhibit compensatory recruitment relative to lower elevation populations.</li><li>We use long-term mark–recapture data from five populations of boreal toads<span>&nbsp;</span><i>Anaxyrus boreas boreas</i>, across an elevational gradient in Colorado, before and after pathogen arrival to assess whether populations can persist with<span>&nbsp;</span><i>Batrachochytrium dendrobatidis</i><span>&nbsp;</span>(<i>Bd</i>) via compensatory recruitment.</li><li>Prior to pathogen arrival, we found a life-history trade-off between survival and recruitment across elevations, where high-elevation toads have high survival but lower recruitment and vice versa at lower elevations.</li><li>Pathogen arrival had a strong negative effect on apparent annual survival and recruitment leading to negative population growth rates and dramatically reduced host abundances. The data did not support the occurrence of compensatory recruitment.</li><li><i>Synthesis and applications</i>. Our unique dataset indicates that demographic responses to pathogens may be environmentally (i.e. elevationally) context dependent and highlights the value of long-term monitoring. We recommend that practitioners verify that potential persistence mechanisms occur across multiple populations and relevant environmental gradients to counter any assumptions of the mechanism existing species-wide. Quantifying variation in population responses to disease will aid in understanding the bounds of such persistence mechanisms and identify particularly vulnerable populations where mechanisms are nonexistent.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.14310","usgsCitation":"Hardy, B., Muths, E.L., Lambert, B., Schneider, S.C., Funk, W., and Bailey, L., 2023, Compensatory recruitment unlikely in high-elevation amphibian populations challenged with disease: Journal of Applied Ecology, v. 60, no. 1, p. 121-131, https://doi.org/10.1111/1365-2664.14310.","productDescription":"11 p.","startPage":"121","endPage":"131","ipdsId":"IP-141300","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":444067,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.14310","text":"Publisher Index Page"},{"id":414763,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-10-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Hardy, Bennett","contributorId":303568,"corporation":false,"usgs":false,"family":"Hardy","given":"Bennett","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":867556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muths, Erin L. 0000-0002-5498-3132 muthse@usgs.gov","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":1260,"corporation":false,"usgs":true,"family":"Muths","given":"Erin","email":"muthse@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":867557,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lambert, Bradley","contributorId":303569,"corporation":false,"usgs":false,"family":"Lambert","given":"Bradley","email":"","affiliations":[{"id":27518,"text":"Colorado Natural Heritage Program","active":true,"usgs":false}],"preferred":false,"id":867558,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schneider, Scott C.","contributorId":174943,"corporation":false,"usgs":false,"family":"Schneider","given":"Scott","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":867559,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Funk, W. C.","contributorId":303570,"corporation":false,"usgs":false,"family":"Funk","given":"W. C.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":867560,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bailey, Larissa L.","contributorId":229353,"corporation":false,"usgs":false,"family":"Bailey","given":"Larissa L.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":867561,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70242623,"text":"70242623 - 2023 - The geometry and kinematics of the latest paleozoic Allatoona Fault, one of the youngest thrusts in the southernmost Appalachian Hinterland, Alabama and Georgia, U.S.A.","interactions":[],"lastModifiedDate":"2023-04-11T11:38:26.293056","indexId":"70242623","displayToPublicDate":"2023-03-27T06:36:31","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":732,"text":"American Journal of Science","active":true,"publicationSubtype":{"id":10}},"title":"The geometry and kinematics of the latest paleozoic Allatoona Fault, one of the youngest thrusts in the southernmost Appalachian Hinterland, Alabama and Georgia, U.S.A.","docAbstract":"<div class=\"row\"><div class=\"medium-6 columns medium-centered\"><div class=\"abstract\"><div><p>The Allatoona thrust fault in the southernmost hinterland of the Appalachian Blue Ridge-Piedmont megathrust sheet is among the latest structures in the kinematic sequence of events along the west flank of the orogen. It is an out-of-sequence, craton-directed thrust fault that cuts metamorphic isograds and earlier thrusts, and it has a nearly linear trace of ≥280 km, making it one of the major thrust faults in the orogen. On the northwest, the fault cuts Pennsylvanian or younger(?) regional cross antiforms that cause significant orogenic curvature of older underlying thrust sheets and is likely Permian in age. To the southeast, however, units within the fault hanging wall maintain a nearly constant width resulting in a significant change in the regional structural architecture of the orogen. In the central segment of the fault, where it marks the western/eastern Blue Ridge domain boundary, a ~20 km-long eyelid window (Mulberry Rock window) framed by three amphibolite facies thrust sheets overlying the greenschist facies Talladega belt allochthon, allows a 3-D view into the structural architecture, kinematics, and trajectories of the regional thrusts. Two earlier thrusts within the window (Mulberry Rock and Burnt Hickory Ridge thrusts, with a combined minimum horizontal net slip component of 27 km) are cut by the Allatoona fault, which is a ~15 m-wide high strain zone with top-to-the-northwest displacement, and a &gt;17.2 km horizontal net slip vector. Structural branch points between the Allatoona and Mulberry Rock thrusts indicate that the Mulberry Rock allochthon is a large north-trending horse beneath the Allatoona fault, centered on the Mulberry Rock window, which is likely the result of oblique ramp thrusting over the massive Mulberry Rock Gneiss. The Allatoona fault cuts down obliquely into the tectonostratigraphy progressively deeper both to the northeast and northwest, locally approaching underlying foreland thrust sheets, and cutting older regional structures. To the northeast, the Allatoona fault lies at the base of the Dahlonega gold belt, becoming an internal eastern Blue Ridge thrust at Dawsonville, Georgia. Although that sequence extends another 120 km into North Carolina, continuation of the Allatoona fault that additional distance is in debate. Regardless, the Allatoona is one of the kinematically latest and longest faults in the southern Appalachian orogen.</p></div></div></div></div>","language":"English","publisher":"American Journal of Science","doi":"10.2475/001c.72988","usgsCitation":"Tull, J.F., Holm-Denoma, C., Almuntshry, N.A., and McMahan, E.L., 2023, The geometry and kinematics of the latest paleozoic Allatoona Fault, one of the youngest thrusts in the southernmost Appalachian Hinterland, Alabama and Georgia, U.S.A.: American Journal of Science, v. 323, no. 3, 29 p., https://doi.org/10.2475/001c.72988.","productDescription":"29 p.","ipdsId":"IP-142434","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":444072,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.2475/001c.72988","text":"Publisher Index Page"},{"id":415561,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Georgia, South Carolina","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.78337204542909,\n              35.275176393361846\n            ],\n            [\n              -84.71613439831707,\n              34.590959801384585\n            ],\n            [\n              -87.17601375653753,\n              33.90106173390045\n            ],\n            [\n              -87.08816092231528,\n              32.911012930100796\n            ],\n            [\n              -86.12177974587156,\n              32.31902234357682\n            ],\n            [\n              -84.54042872987256,\n              32.65249875132356\n            ],\n            [\n              -82.38803429142892,\n              33.82811254034496\n            ],\n            [\n              -81.46557953209633,\n              35.167521993940355\n            ],\n            [\n              -82.78337204542909,\n              35.275176393361846\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"323","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-03-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Tull, James F.","contributorId":139458,"corporation":false,"usgs":false,"family":"Tull","given":"James","email":"","middleInitial":"F.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":869139,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holm-Denoma, Christopher S. 0000-0003-3229-5440","orcid":"https://orcid.org/0000-0003-3229-5440","contributorId":219763,"corporation":false,"usgs":true,"family":"Holm-Denoma","given":"Christopher S.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":869140,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Almuntshry, Nawwaf A.","contributorId":304073,"corporation":false,"usgs":false,"family":"Almuntshry","given":"Nawwaf","email":"","middleInitial":"A.","affiliations":[{"id":65962,"text":"University of King Abdulaziz","active":true,"usgs":false}],"preferred":false,"id":869141,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McMahan, Ericka L.","contributorId":304074,"corporation":false,"usgs":false,"family":"McMahan","given":"Ericka","email":"","middleInitial":"L.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":869142,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70255006,"text":"70255006 - 2023 - Invasive Brook Stickleback Culaea inconstans minimally alters the trophic ecology of four native fishes in Wyoming, USA","interactions":[],"lastModifiedDate":"2024-06-11T15:19:01.240564","indexId":"70255006","displayToPublicDate":"2023-03-23T10:13:05","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5453,"text":"Food Webs","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Invasive Brook Stickleback <i>Culaea inconstans</i> minimally alters the trophic ecology of four native fishes in Wyoming, USA","title":"Invasive Brook Stickleback Culaea inconstans minimally alters the trophic ecology of four native fishes in Wyoming, USA","docAbstract":"<p><span>Invasive species&nbsp;introductions are a primary threat facing populations of native&nbsp;freshwater fishes. There are multiple mechanisms by which an invader can affect native species, with competition for food resources being one mechanism that can lead to declines in the distribution and abundance of native species. Invaders that are trophic generalists may cause shifts in the trophic ecology of native species and may be better suited for long-term persistence amid environmental stochasticity. Therefore, trophic studies can provide valuable information on the risk an invader poses to native species. Brook&nbsp;Stickleback&nbsp;</span><i>Culaea inconstans</i><span>&nbsp;is an invasive fish species in Wyoming whose effect on native fish assemblages is poorly understood. Our goal was to understand the potential for competitive interactions between Brook&nbsp;Stickleback&nbsp;and native fishes. We used stable isotopes of carbon (ẟ</span><sup>13</sup><span>C) and nitrogen (ẟ</span><sup>15</sup><span>N) to evaluate the feeding ecology of Brook Stickleback relative to four native fishes, and to explore whether native fish isotopic niches changed in&nbsp;sympatry&nbsp;with Brook Stickleback. We hypothesized that the isotopic niche of Brook Stickleback would be larger than that of native fishes, suggesting broader resource use. Additionally, we hypothesized that the isotopic niche of native fish populations sympatric with Brook Stickleback would contract. We did not find support for our hypotheses as the isotopic niche of Brook Stickleback was not substantially different from that of native fishes. Further, the isotopic niche of native fishes was not substantially affected by Brook Stickleback presence. As a result, we do not currently see evidence of Brook Stickleback altering the trophic ecology of native fish species. Our results provide insight to the effects of a small-bodied invasive fish species on native fishes in a previously unstudied region, and can help managers prioritize management actions to conserve native fishes.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.fooweb.2023.e00275","usgsCitation":"Ruthvena, J.S., and Walters, A.W., 2023, Invasive Brook Stickleback Culaea inconstans minimally alters the trophic ecology of four native fishes in Wyoming, USA: Food Webs, v. 35, e00275, 9 p., https://doi.org/10.1016/j.fooweb.2023.e00275.","productDescription":"e00275, 9 p.","ipdsId":"IP-143172","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":429879,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.09999209466312,\n              44.992832791258934\n            ],\n            [\n              -111.09999209466312,\n              40.9969502976852\n            ],\n            [\n              -104.06062494053327,\n              40.9969502976852\n            ],\n            [\n              -104.06062494053327,\n              44.992832791258934\n            ],\n            [\n              -111.09999209466312,\n              44.992832791258934\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"35","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ruthvena, Jacob S.","contributorId":338255,"corporation":false,"usgs":false,"family":"Ruthvena","given":"Jacob","email":"","middleInitial":"S.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":903068,"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":903069,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70255298,"text":"70255298 - 2023 - Understanding the spatiotemporal distribution of snow refugia in the rain-snow transition zone of north-central Idaho","interactions":[],"lastModifiedDate":"2024-06-14T12:24:56.984299","indexId":"70255298","displayToPublicDate":"2023-03-21T07:19:45","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Understanding the spatiotemporal distribution of snow refugia in the rain-snow transition zone of north-central Idaho","docAbstract":"<div class=\"article-text wd-jnl-art-abstract cf\"><p>Knowledge of snow cover distribution and disappearance dates over a wide range of scales is imperative for understanding hydrological dynamics and for habitat management of wildlife species that rely on snow cover. Identification of snow refugia, or places with relatively late snow disappearance dates (SDDs) compared to surrounding areas, is especially important as climate change alters snow cover timing and duration. The purpose of this study was to increase understanding of snow refugia in complex terrain spanning the rain-snow transition zone at fine spatial and temporal scales. To accomplish this objective, we used remote cameras to provide relatively high temporal and spatial resolution measurements on snowpack conditions. We built linear models to relate SDDs at the monitoring sites to topoclimatic and canopy cover metrics. One model to quantify SDDs included elevation, aspect, and an interaction between canopy cover and cold-air pooling potential. High-elevation, north-facing sites in cold-air pools (CAPs) had the latest SDDs, but isolated lower-elevation points also exhibited relatively late potential SDDs. Importantly, canopy cover had a much stronger effect on SDDs in CAPs than in non-CAPs, indicating that best practices in forest management for snow refugia could vary across microtopography. A second model that included<span>&nbsp;</span><i>in situ</i><span>&nbsp;</span>hydroclimate observations (December<i>–</i>February (DJF) temperature and March 1 snow depth) indicated that March 1 snow depth had little impact on SDD at the coldest winter temperatures, and that DJF temperatures had a stronger effect on SDD at lower snow depths, implying that the relative importance of snowfall and temperature could vary across hydroclimatic contexts in their impact on snow refugia. This new understanding of factors influencing snow refugia can guide forest management actions to increase snow retention and inform management of snow-dependent wildlife species in complex terrain.</p></div>","language":"English","publisher":"IOPScience","doi":"10.1088/1748-9326/acbb90","usgsCitation":"Strickfaden, K.M., Marshall, A.M., Svancara, L.K., Dugger, K., and Link, T.E., 2023, Understanding the spatiotemporal distribution of snow refugia in the rain-snow transition zone of north-central Idaho: Environmental Research Letters, v. 18, 044014, 11 p., https://doi.org/10.1088/1748-9326/acbb90.","productDescription":"044014, 11 p.","ipdsId":"IP-147918","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":444142,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/acbb90","text":"Publisher Index Page"},{"id":430200,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","noUsgsAuthors":false,"publicationDate":"2023-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Strickfaden, Kaitlyn M.","contributorId":339386,"corporation":false,"usgs":false,"family":"Strickfaden","given":"Kaitlyn","email":"","middleInitial":"M.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":904127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marshall, Adrienne M.","contributorId":339387,"corporation":false,"usgs":false,"family":"Marshall","given":"Adrienne","email":"","middleInitial":"M.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":904128,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Svancara, Leona K.","contributorId":339389,"corporation":false,"usgs":false,"family":"Svancara","given":"Leona","email":"","middleInitial":"K.","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":904129,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":904130,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Link, Timothy E.","contributorId":339393,"corporation":false,"usgs":false,"family":"Link","given":"Timothy","email":"","middleInitial":"E.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":904131,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70241816,"text":"70241816 - 2023 - Above- and belowground biomass carbon stock and net primary productivity maps for tidal herbaceous marshes of the United States","interactions":[],"lastModifiedDate":"2023-03-28T14:32:55.230826","indexId":"70241816","displayToPublicDate":"2023-03-20T06:41:34","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Above- and belowground biomass carbon stock and net primary productivity maps for tidal herbaceous marshes of the United States","docAbstract":"<div class=\"html-p\">Accurate assessments of greenhouse gas emissions and carbon sequestration in natural ecosystems are necessary to develop climate mitigation strategies. Regional and national-level assessments of carbon sequestration require high-resolution data to be available for large areas, increasing the need for remote sensing products that quantify carbon stocks and fluxes. The Intergovernmental Panel on Climate Change (IPCC) provides guidelines on how to quantify carbon flux using land cover land change and biomass carbon stock information. Net primary productivity (NPP), carbon uptake, and storage in vegetation, can also be used to model net carbon sequestration and net carbon export from an ecosystem (net ecosystem carbon balance). While biomass and NPP map products for terrestrial ecosystems are available, there are currently no conterminous United States (CONUS) biomass carbon stock or NPP maps for tidal herbaceous marshes. In this study, we used peak soil adjusted vegetation index (SAVI) values, derived from Landsat 8 composites, and five other vegetation indices, plus a categorical variable for the CONUS region (Pacific Northwest, California, Northeast, Mid-Atlantic, South Atlantic-Gulf, or Everglades), to model spatially explicit aboveground peak biomass stocks in tidal marshes (i.e., tidal palustrine and estuarine herbaceous marshes) for the first time. Tidal marsh carbon conversion factors, root-to-shoot ratios, and vegetation turnover rates, were compiled from the literature and used to convert peak aboveground biomass to peak total (above- and belowground) biomass and NPP. An extensive literature search for aboveground turnover rates produced sparse and variable values; therefore, we used an informed assumption of a turnover rate of one crop per year for all CONUS tidal marshes. Due to the lack of turnover rate data, the NPP map is identical to the peak biomass carbon stock map. In reality, it is probable that turnover rate varies by region, given seasonal length differences; however, the NPP map provides the best available information on spatially explicit CONUS tidal marsh NPP. This study identifies gaps in the scientific knowledge, to support future studies in addressing this lack of turnover data. Across CONUS, average total peak biomass carbon stock in tidal marshes was 848 g C m<sup>−2</sup><span>&nbsp;</span>(871 g C m<sup>−2</sup><span>&nbsp;</span>in palustrine and 838 g C m<sup>−2</sup><span>&nbsp;</span>in estuarine marshes), and based on a median biomass turnover rate of 1, it is expected that the mean NPP annual flux for tidal marshes is similar (e.g., 848 g C m<sup>−2</sup><span>&nbsp;</span>y<sup>−1</sup>). Peak biomass carbon stocks in tidal marshes were lowest in the Florida Everglades region and highest in the California regions. These are the first fine-scale national maps of biomass carbon and NPP for tidal wetlands, spanning all of CONUS. These estimates of CONUS total peak biomass carbon stocks and NPP rates for tidal marshes can support regional- and national-scale assessments of greenhouse gas emissions, as well as natural resource management of coastal wetlands, as part of nature-based climate solution efforts.</div>","language":"English","publisher":"MDPI","doi":"10.3390/rs15061697","usgsCitation":"Woltz, V., Stagg, C., Byrd, K.B., Windham-Myers, L., Andre S. Rovai, and Zhu, Z., 2023, Above- and belowground biomass carbon stock and net primary productivity maps for tidal herbaceous marshes of the United States: Remote Sensing, v. 15, no. 16, 1697, 16 p.; Data Release, https://doi.org/10.3390/rs15061697.","productDescription":"1697, 16 p.; Data Release","ipdsId":"IP-149500","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":444163,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs15061697","text":"Publisher Index Page"},{"id":414807,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":414814,"rank":2,"type":{"id":30,"text":"Data 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Center","active":true,"usgs":true}],"preferred":true,"id":867812,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":867813,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Windham-Myers, Lisamarie 0000-0003-0281-9581 lwindham-myers@usgs.gov","orcid":"https://orcid.org/0000-0003-0281-9581","contributorId":2449,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":867814,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Andre S. Rovai","contributorId":303698,"corporation":false,"usgs":false,"family":"Andre S. Rovai","affiliations":[{"id":65880,"text":"Department of Oceanography and Coastal Sciences, College of the Coast and Environment, Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":867815,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":867816,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70241818,"text":"70241818 - 2023 - Salvage using electrofishing methods caused minimal mortality of burrowed and emerged larval lampreys in dewatered habitats","interactions":[],"lastModifiedDate":"2024-01-24T17:12:18.488436","indexId":"70241818","displayToPublicDate":"2023-03-18T06:36:54","publicationYear":"2023","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":"Salvage using electrofishing methods caused minimal mortality of burrowed and emerged larval lampreys in dewatered habitats","docAbstract":"<div id=\"article__content\" class=\"col-sm-12 col-md-8 col-lg-8 article__content article-row-left\"><div class=\"article__body \"><div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><h3 id=\"nafm10894-sec-1001-title\" class=\"article-section__sub-title section1\">Objective</h3><p>Human-induced dewatering of freshwater habitats causes mortality of larval lampreys (family Petromyzontidae). Salvage by electrofishing at dewatering events is assumed to reduce this mortality, but to our knowledge this assumption remains unassessed.</p><h3 id=\"nafm10894-sec-2002-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We estimated mortality of salvaged larval lampreys (<i>Lampetra</i><span>&nbsp;</span>spp. and Pacific Lamprey<span>&nbsp;</span><i>Entosphenus tridentatus</i>) within 24 h following collection at field dewatering events in July and October. To assess when salvage may reduce mortality, we compared mortality of salvaged individuals from field dewatering events to mortality of burrowed and emerged individuals in dewatered habitats in the laboratory. Salvage protocols included electrofishing and foot pressure from walking in test enclosures before and after dewatering. Electrofishing after dewatering (“dry shocking”) involves positioning probes on moist sediment to entice burrowed larval lampreys to emerge.</p><h3 id=\"nafm10894-sec-3002-title\" class=\"article-section__sub-title section1\">Result</h3><p>During the July salvage, air temperature averaged 36°C, bottom water temperature averaged 20°C, and many emerged larval lampreys were dead on the sediment surface. During two October events, air temperatures averaged 18 and 11°C, bottom water temperatures averaged 12 and 7°C, and only one dead emerged larval lamprey was observed. Estimated mortality of salvaged larval lampreys was 0.20 (90% credible interval = 0.09–0.37) in July and 0.00 (90% credible interval = 0.00–0.06) and 0.06 (90% credible interval = 0.01–0.18) in October. All larval lampreys that remained burrowed and were excavated from enclosures after salvage were dead in July but alive in October. Logistic regression suggested that mortality declined with increasing larval length. Mortality of salvaged 80-mm larval lampreys in October was lower than that of 80-mm individuals emerged for 1 h or burrowed for 8 h at similar water temperatures (8–10°C) in the laboratory.</p><h3 id=\"nafm10894-sec-4002-title\" class=\"article-section__sub-title section1\">Conclusion</h3><p>In this study, electrofishing for salvage caused minimal mortality of burrowed and emerged larval lampreys in dewatered habitats. Thus, salvage using electrofishing methods could aid conservation of native lampreys by reducing mortality associated with human-induced dewatering events, especially when temperatures are elevated.</p></div></div></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/nafm.10894","usgsCitation":"Harris, J.E., Liedtke, T.L., Skalicky, J.J., and Weiland, L.K., 2023, Salvage using electrofishing methods caused minimal mortality of burrowed and emerged larval lampreys in dewatered habitats: North American Journal of Fisheries Management, v. 43, no. 6, p. 1553-1566, https://doi.org/10.1002/nafm.10894.","productDescription":"14 p.","startPage":"1553","endPage":"1566","ipdsId":"IP-142268","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":498005,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10894","text":"Publisher Index Page"},{"id":414806,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -119.80504720443415,\n              45.59714982675632\n            ],\n            [\n              -119.80504720443415,\n              47.017425415416\n            ],\n            [\n              -122.92684344647026,\n              47.017425415416\n            ],\n            [\n              -122.92684344647026,\n              45.59714982675632\n            ],\n            [\n              -119.80504720443415,\n              45.59714982675632\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"43","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-03-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Harris, Julianne E. 0000-0003-1343-5911","orcid":"https://orcid.org/0000-0003-1343-5911","contributorId":247527,"corporation":false,"usgs":false,"family":"Harris","given":"Julianne","email":"","middleInitial":"E.","affiliations":[{"id":49569,"text":"U.S. Fish and Wildlife Service, Columbia River Fish and Wildlife Conservation Office, 1211 SE Cardinal Court, Suite 100, Vancouver, Washington 98683","active":true,"usgs":false}],"preferred":false,"id":867819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liedtke, Theresa L. 0000-0001-6063-9867 tliedtke@usgs.gov","orcid":"https://orcid.org/0000-0001-6063-9867","contributorId":2999,"corporation":false,"usgs":true,"family":"Liedtke","given":"Theresa","email":"tliedtke@usgs.gov","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":867820,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skalicky, Joseph J. 0000-0002-6467-5037","orcid":"https://orcid.org/0000-0002-6467-5037","contributorId":247528,"corporation":false,"usgs":false,"family":"Skalicky","given":"Joseph","email":"","middleInitial":"J.","affiliations":[{"id":49569,"text":"U.S. Fish and Wildlife Service, Columbia River Fish and Wildlife Conservation Office, 1211 SE Cardinal Court, Suite 100, Vancouver, Washington 98683","active":true,"usgs":false}],"preferred":false,"id":867821,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weiland, Lisa K. 0000-0002-9729-4062 lweiland@usgs.gov","orcid":"https://orcid.org/0000-0002-9729-4062","contributorId":3565,"corporation":false,"usgs":true,"family":"Weiland","given":"Lisa","email":"lweiland@usgs.gov","middleInitial":"K.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":867822,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70251433,"text":"70251433 - 2023 - A 600-kyr reconstruction of deep Arctic seawater δ18O from benthic foraminiferal oxygen isotopes and ostracode Mg/Ca paleothermometry","interactions":[],"lastModifiedDate":"2024-02-10T13:50:03.510105","indexId":"70251433","displayToPublicDate":"2023-03-16T07:43:24","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1250,"text":"Climate of the Past","active":true,"publicationSubtype":{"id":10}},"title":"A 600-kyr reconstruction of deep Arctic seawater δ18O from benthic foraminiferal oxygen isotopes and ostracode Mg/Ca paleothermometry","docAbstract":"<p><span>The oxygen isotopic composition of benthic foraminiferal tests&nbsp;(</span><span class=\"inline-formula\"><i>δ</i><sup>18</sup>O</span><span class=\"inline-formula\"><sub>b</sub></span><span>) is one of the pre-eminent tools for correlating marine sediments and interpreting past terrestrial ice volume and deep-ocean temperatures. Despite the prevalence of&nbsp;</span><span class=\"inline-formula\"><i>δ</i><sup>18</sup></span><span>O</span><span class=\"inline-formula\"><sub>b</sub></span><span>&nbsp;applications to marine sediment cores over the Quaternary, its use is limited in the Arctic Ocean because of low benthic foraminiferal abundances, challenges with constructing independent sediment core age models, and an apparent muted amplitude of Arctic&nbsp;</span><span class=\"inline-formula\"><i>δ</i><sup>18</sup>O</span><span class=\"inline-formula\"><sub>b</sub></span><span>&nbsp;variability compared to open-ocean records. Here we evaluate the controls on Arctic&nbsp;</span><span class=\"inline-formula\"><i>δ</i><sup>18</sup>O</span><span class=\"inline-formula\"><sub>b</sub></span><span>&nbsp;by using ostracode&nbsp;</span><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; id=&quot;M14&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot; dspmath=&quot;mathml&quot;><mrow><mrow class=&quot;chem&quot;><mi mathvariant=&quot;normal&quot;>Mg</mi></mrow><mo>/</mo><mrow class=&quot;chem&quot;><mi mathvariant=&quot;normal&quot;>Ca</mi></mrow></mrow></math>\"></span><span>&nbsp;paleothermometry to generate a composite record of the&nbsp;</span><span class=\"inline-formula\"><i>δ</i><sup>18</sup>O</span><span>&nbsp;of seawater (</span><span class=\"inline-formula\"><i>δ</i><sup>18</sup>O</span><span class=\"inline-formula\"><sub>sw</sub></span><span>) from 12&nbsp;sediment cores in the intermediate to deep Arctic Ocean (700–2700 m) that covers the last 600 kyr based on biostratigraphy and orbitally tuned age models. Results show that Arctic&nbsp;</span><span class=\"inline-formula\"><i>δ</i><sup>18</sup>O</span><span class=\"inline-formula\"><sub>b</sub></span><span>&nbsp;was generally higher than open-ocean&nbsp;</span><span class=\"inline-formula\"><i>δ</i><sup>18</sup></span><span>O</span><span class=\"inline-formula\"><sub>b</sub></span><span>&nbsp;during interglacials but was generally equivalent to global reference records during glacial periods. The reduced glacial–interglacial Arctic&nbsp;</span><span class=\"inline-formula\"><i>δ</i><sup>18</sup>O</span><span class=\"inline-formula\"><sub>b</sub></span><span>&nbsp;range resulted in part from the opposing effect of temperature, with intermediate to deep Arctic warming during glacials counteracting the whole-ocean&nbsp;</span><span class=\"inline-formula\"><i>δ</i><sup>18</sup>O</span><span class=\"inline-formula\"><sub>sw</sub></span><span>&nbsp;increase from expanded terrestrial ice sheets. After removing the temperature effect from&nbsp;</span><span class=\"inline-formula\"><i>δ</i><sup>18</sup>O</span><span class=\"inline-formula\"><sub>b</sub></span><span>, we find that the intermediate to deep Arctic experienced large (</span><span class=\"inline-formula\">≥1</span><span> ‰) variations in local&nbsp;</span><span class=\"inline-formula\"><i>δ</i><sup>18</sup>O</span><span class=\"inline-formula\"><sub>sw</sub></span><span>, with generally higher local&nbsp;</span><span class=\"inline-formula\"><i>δ</i><sup>18</sup>O</span><span class=\"inline-formula\"><sub>sw</sub></span><span>&nbsp;during interglacials and lower&nbsp;</span><span class=\"inline-formula\"><i>δ</i><sup>18</sup>O</span><span class=\"inline-formula\"><sub>sw</sub></span><span>&nbsp;during glacials. Both the magnitude and timing of low local&nbsp;</span><span class=\"inline-formula\"><i>δ</i><sup>18</sup>O</span><span class=\"inline-formula\"><sub>sw</sub></span><span>&nbsp;intervals are inconsistent with the recent proposal of freshwater intervals in the Arctic Ocean during past glaciations. Instead, we suggest that lower local&nbsp;</span><span class=\"inline-formula\"><i>δ</i><sup>18</sup>O</span><span class=\"inline-formula\"><sub>sw</sub></span><span>&nbsp;in the intermediate to deep Arctic Ocean during glaciations reflected weaker upper-ocean stratification and more efficient transport of low-</span><span class=\"inline-formula\"><i>δ</i><sup>18</sup>O</span><span class=\"inline-formula\"><sub>sw</sub></span><span>&nbsp;Arctic surface waters to depth by mixing and/or brine rejection.</span></p>","language":"English","publisher":"European Geophysical Union","doi":"10.5194/cp-19-555-2023","usgsCitation":"Farmer, J., Keller, K., Poirier, R., Dwyer, G.S., Schaller, M., Coxall, H.K., O’Regan, M., and Cronin, T.M., 2023, A 600-kyr reconstruction of deep Arctic seawater δ18O from benthic foraminiferal oxygen isotopes and ostracode Mg/Ca paleothermometry: Climate of the Past, v. 19, no. 3, p. 555-578, https://doi.org/10.5194/cp-19-555-2023.","productDescription":"24 p.","startPage":"555","endPage":"578","ipdsId":"IP-146090","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":444195,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/cp-19-555-2023","text":"Publisher Index Page"},{"id":425565,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-03-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Farmer, Jesse","contributorId":279623,"corporation":false,"usgs":false,"family":"Farmer","given":"Jesse","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":894561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keller, Katherine 0000-0001-6915-5455","orcid":"https://orcid.org/0000-0001-6915-5455","contributorId":218048,"corporation":false,"usgs":false,"family":"Keller","given":"Katherine","email":"","affiliations":[{"id":39732,"text":"Natural Systems Analysts, Harvard University","active":true,"usgs":false}],"preferred":false,"id":894562,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poirier, Robert 0000-0001-5380-4545","orcid":"https://orcid.org/0000-0001-5380-4545","contributorId":261201,"corporation":false,"usgs":true,"family":"Poirier","given":"Robert","email":"","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":894563,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dwyer, Gary S.","contributorId":197070,"corporation":false,"usgs":false,"family":"Dwyer","given":"Gary","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":894564,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schaller, Morgan","contributorId":260723,"corporation":false,"usgs":false,"family":"Schaller","given":"Morgan","email":"","affiliations":[],"preferred":false,"id":894565,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Coxall, Helen K","contributorId":290629,"corporation":false,"usgs":false,"family":"Coxall","given":"Helen","email":"","middleInitial":"K","affiliations":[{"id":62460,"text":"Stockholm University, Stockholm Sweden","active":true,"usgs":false}],"preferred":false,"id":894566,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"O’Regan, Matt","contributorId":197135,"corporation":false,"usgs":false,"family":"O’Regan","given":"Matt","email":"","affiliations":[{"id":25421,"text":"Department of Geological Sciences, Stockholm University, Sweden","active":true,"usgs":false}],"preferred":false,"id":894567,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":894568,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70262886,"text":"70262886 - 2023 - Dynamics of the December 2020 ash-poor plume formed by lava-water interaction at the summit of Kilauea Volcano, Hawaii","interactions":[],"lastModifiedDate":"2025-01-27T17:34:03.218669","indexId":"70262886","displayToPublicDate":"2023-03-16T00:00:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Dynamics of the December 2020 ash-poor plume formed by lava-water interaction at the summit of Kilauea Volcano, Hawaii","docAbstract":"<p><span>On 20 December 2020, after more than 2&nbsp;years of quiescence at Kīlauea Volcano, Hawaiʻi, renewed volcanic activity in the summit crater caused boiling of the water lake over a period of ∼90&nbsp;min. The resulting water-rich, electrified plume rose to 11–13&nbsp;km above sea level, which is among the highest plumes on record for Kīlauea. Although conventional models would infer a high mass flux from explosive magma-water interaction, the plume was not associated with an infrasound signal indicative of “explosive” activity, nor did it produce a measurable ash-fall deposit. We use multisensor data to characterize lava-water interaction and plume generation during this opening phase of the 2020–21 eruption. Satellite, weather radar, and eyewitness observations revealed that the plume was rich in water vapor and hydrometeors but transported less ash than expected from its maximum height. Volcanic lightning flashes detected by ground-based cameras were confined to freezing altitudes of the upper cloud, suggesting that the ice formation drove the electrification of this plume. The low acoustic energy from lava-water interaction points to a weakly explosive style of hydrovolcanism. Heat transfer calculations show that the lava to water heat flux was sufficient to boil the lake within 90&nbsp;min. Limited mixing of lava and water inhibited major steam explosions and fine fragmentation. Results from one-dimensional plume modeling suggest that the models may underpredict plume height due to overestimation of crosswind air-entrainment. Our findings shed light on an unusual style of volcanism in which weakly explosive lava-water interaction generated an outsized plume.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022GC010718","usgsCitation":"Cahalan, R.C., Mastin, L.G., Van Eaton, A.R., Hurwitz, S., Smith, A., Dufek, J., Solovitz, S.A., Patrick, M.R., Schmith, J., Parcheta, C., Thelen, W., and Downs, D.T., 2023, Dynamics of the December 2020 ash-poor plume formed by lava-water interaction at the summit of Kilauea Volcano, Hawaii: Geochemistry, Geophysics, Geosystems, v. 24, no. 3, e2022GC010718, 23 p., https://doi.org/10.1029/2022GC010718.","productDescription":"e2022GC010718, 23 p.","ipdsId":"IP-145500","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":489752,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022gc010718","text":"Publisher Index Page"},{"id":481272,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.2803669612127,\n              19.458319847666203\n            ],\n            [\n              -155.2803669612127,\n              19.37101672587596\n            ],\n            [\n              -155.17107998542878,\n              19.37101672587596\n            ],\n            [\n              -155.17107998542878,\n              19.458319847666203\n            ],\n            [\n              -155.2803669612127,\n              19.458319847666203\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"24","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-03-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Cahalan, Ryan Cain 0000-0002-3322-0654","orcid":"https://orcid.org/0000-0002-3322-0654","contributorId":302355,"corporation":false,"usgs":true,"family":"Cahalan","given":"Ryan","email":"","middleInitial":"Cain","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":925179,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mastin, Larry G. 0000-0002-4795-1992","orcid":"https://orcid.org/0000-0002-4795-1992","contributorId":265985,"corporation":false,"usgs":true,"family":"Mastin","given":"Larry","email":"","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925180,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Eaton, Alexa R. 0000-0001-6646-4594 avaneaton@usgs.gov","orcid":"https://orcid.org/0000-0001-6646-4594","contributorId":184079,"corporation":false,"usgs":true,"family":"Van Eaton","given":"Alexa","email":"avaneaton@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925181,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hurwitz, Shaul 0000-0001-5142-6886 shaulh@usgs.gov","orcid":"https://orcid.org/0000-0001-5142-6886","contributorId":2169,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Shaul","email":"shaulh@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925182,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Adam B.","contributorId":328715,"corporation":false,"usgs":false,"family":"Smith","given":"Adam B.","affiliations":[{"id":38790,"text":"Missouri Botanical Garden","active":true,"usgs":false}],"preferred":false,"id":925183,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dufek, Josef","contributorId":194001,"corporation":false,"usgs":false,"family":"Dufek","given":"Josef","email":"","affiliations":[],"preferred":false,"id":925184,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Solovitz, Stephen A. 0000-0001-7019-2958","orcid":"https://orcid.org/0000-0001-7019-2958","contributorId":257659,"corporation":false,"usgs":false,"family":"Solovitz","given":"Stephen","email":"","middleInitial":"A.","affiliations":[{"id":52077,"text":"Washington State University, Vancouver","active":true,"usgs":false}],"preferred":false,"id":925185,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925186,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schmith, Jo 0000-0002-0912-7441","orcid":"https://orcid.org/0000-0002-0912-7441","contributorId":304399,"corporation":false,"usgs":true,"family":"Schmith","given":"Jo","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925187,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Parcheta, Carolyn 0000-0001-6556-4630 cparcheta@usgs.gov","orcid":"https://orcid.org/0000-0001-6556-4630","contributorId":215617,"corporation":false,"usgs":true,"family":"Parcheta","given":"Carolyn","email":"cparcheta@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925188,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Thelen, Weston 0000-0003-2534-5577","orcid":"https://orcid.org/0000-0003-2534-5577","contributorId":215530,"corporation":false,"usgs":true,"family":"Thelen","given":"Weston","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925189,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925190,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70241163,"text":"70241163 - 2023 - Field assessment of Naled and its primary degradation product (dichlorvos) in aquatic ecosystems following aerial ultra-low volume application for mosquito control","interactions":[],"lastModifiedDate":"2023-06-27T16:43:22.597659","indexId":"70241163","displayToPublicDate":"2023-03-13T07:10:24","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Field assessment of Naled and its primary degradation product (dichlorvos) in aquatic ecosystems following aerial ultra-low volume application for mosquito control","docAbstract":"<p>Naled, an organophosphate insecticide, is applied aerially at ultra-low volumes over aquatic ecosystems near Sacramento, California, USA, during summer months for mosquito control. Two ecosystem types (rice fields and a flowing canal) were sampled in 2020 and 2021. Naled and its primary degradation product (dichlorvos) were measured in water, biofilm, grazer macroinvertebrates, and omnivore/predator macroinvertebrates (predominantly crayfish). Maximum naled and dichlorvos concentrations detected in water samples one day after naled application were 287.3 and 5647.5&nbsp;ng/L, respectively, which were above the U.S. Environmental Protection Agency’s aquatic life benchmarks for invertebrates. Neither compound was detected in water more than one day after the application. Dichlorvos, but not naled, was detected in composite crayfish samples up to 10&nbsp;days after the last aerial application. Detections in water from the canal showed that the compounds were transported downstream of the target application area. Factors such as vector control flight paths, dilution, and transport through air and water likely affected concentrations of naled and dichlorvos in water and organisms from these aquatic ecosystems.</p>","language":"English","publisher":"Springer","doi":"10.1007/s00244-023-00981-8","usgsCitation":"Smith, C., Hladik, M.L., Kuivila, K., and Waite, I.R., 2023, Field assessment of Naled and its primary degradation product (dichlorvos) in aquatic ecosystems following aerial ultra-low volume application for mosquito control: Archives of Environmental Contamination and Toxicology, v. 84, p. 307-317, https://doi.org/10.1007/s00244-023-00981-8.","productDescription":"11 p.","startPage":"307","endPage":"317","ipdsId":"IP-143358","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":444223,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00244-023-00981-8","text":"Publisher Index Page"},{"id":435413,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9F3DU0U","text":"USGS data release","linkHelpText":"Naled and dichlorvos in water and aquatic organisms from a canal and rice fields near Sacramento, California"},{"id":414087,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.18108336553227,\n              39.24258329396358\n            ],\n            [\n              -122.18108336553227,\n              38.67900906553575\n            ],\n            [\n              -121.19273356695606,\n              38.67900906553575\n            ],\n            [\n              -121.19273356695606,\n              39.24258329396358\n            ],\n            [\n              -122.18108336553227,\n              39.24258329396358\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"84","noUsgsAuthors":false,"publicationDate":"2023-03-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Cassandra 0000-0003-1088-1772 cassandrasmith@usgs.gov","orcid":"https://orcid.org/0000-0003-1088-1772","contributorId":193491,"corporation":false,"usgs":true,"family":"Smith","given":"Cassandra","email":"cassandrasmith@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":866321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kuivila, Kathryn 0000-0001-7940-489X","orcid":"https://orcid.org/0000-0001-7940-489X","contributorId":303031,"corporation":false,"usgs":false,"family":"Kuivila","given":"Kathryn","affiliations":[{"id":65617,"text":"Scientist Emeritus","active":true,"usgs":false}],"preferred":false,"id":866322,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waite, Ian R. 0000-0003-1681-6955 iwaite@usgs.gov","orcid":"https://orcid.org/0000-0003-1681-6955","contributorId":616,"corporation":false,"usgs":true,"family":"Waite","given":"Ian","email":"iwaite@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866323,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70241418,"text":"70241418 - 2023 - Climate-driven tradeoffs between landscape connectivity and the maintenance of the coastal carbon sink","interactions":[],"lastModifiedDate":"2023-03-31T15:21:13.569405","indexId":"70241418","displayToPublicDate":"2023-03-13T06:57:17","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Climate-driven tradeoffs between landscape connectivity and the maintenance of the coastal carbon sink","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Ecosystem connectivity tends to increase the resilience and function of ecosystems responding to stressors. Coastal ecosystems sequester disproportionately large amounts of carbon, but rapid exchange of water, nutrients, and sediment makes them vulnerable to sea level rise and coastal erosion. Individual components of the coastal landscape (i.e., marsh, forest, bay) have contrasting responses to sea level rise, making it difficult to forecast the response of the integrated coastal carbon sink. Here we couple a spatially-explicit geomorphic model with a point-based carbon accumulation model, and show that landscape connectivity, in-situ carbon accumulation rates, and the size of the landscape-scale coastal carbon stock all peak at intermediate sea level rise rates despite divergent responses of individual components. Progressive loss of forest biomass under increasing sea level rise leads to a shift from a system dominated by forest biomass carbon towards one dominated by marsh soil carbon that is maintained by substantial recycling of organic carbon between marshes and bays. These results suggest that climate change strengthens connectivity between adjacent coastal ecosystems, but with tradeoffs that include a shift towards more labile carbon, smaller marsh and forest extents, and the accumulation of carbon in portions of the landscape more vulnerable to sea level rise and erosion.</p></div></div>","language":"English","publisher":"Nature","doi":"10.1038/s41467-023-36803-7","usgsCitation":"Valentine, K., Herbert, E.R., Walters, D., Chen, Y., Smith, A., and Kirwan, M.L., 2023, Climate-driven tradeoffs between landscape connectivity and the maintenance of the coastal carbon sink: Nature Communications, v. 1137, 14, 11 p., https://doi.org/10.1038/s41467-023-36803-7.","productDescription":"14, 11 p.","ipdsId":"IP-135350","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":444226,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-023-36803-7","text":"Publisher Index Page"},{"id":414333,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1137","noUsgsAuthors":false,"publicationDate":"2023-03-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Valentine, Kendall 0000-0002-5143-3266","orcid":"https://orcid.org/0000-0002-5143-3266","contributorId":303222,"corporation":false,"usgs":false,"family":"Valentine","given":"Kendall","email":"","affiliations":[{"id":65715,"text":"Virginia Institute of Marine Science, College of William and Mary, Gloucester Point, VA, USA","active":true,"usgs":false}],"preferred":false,"id":866796,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herbert, Ellen R. 0000-0003-4683-6332","orcid":"https://orcid.org/0000-0003-4683-6332","contributorId":303223,"corporation":false,"usgs":false,"family":"Herbert","given":"Ellen","email":"","middleInitial":"R.","affiliations":[{"id":65716,"text":"Ducks Unlimited, Memphis, TN, USA","active":true,"usgs":false}],"preferred":false,"id":866797,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walters, David 0000-0002-5836-681X waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-5836-681X","contributorId":270366,"corporation":false,"usgs":true,"family":"Walters","given":"David","email":"waltersd@usgs.gov","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":866798,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chen, Yaping 0000-0003-1372-8861","orcid":"https://orcid.org/0000-0003-1372-8861","contributorId":303224,"corporation":false,"usgs":false,"family":"Chen","given":"Yaping","email":"","affiliations":[{"id":65718,"text":"Virginia Institute of Marine Science, College of William and Mary, Gloucester Point, VA","active":true,"usgs":false}],"preferred":false,"id":866799,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Alexander J.","contributorId":140345,"corporation":false,"usgs":false,"family":"Smith","given":"Alexander J.","affiliations":[{"id":13464,"text":"Environmental Analyst, NY State Dept of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":866800,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kirwan, Matthew L.","contributorId":191373,"corporation":false,"usgs":false,"family":"Kirwan","given":"Matthew","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":866801,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70241154,"text":"70241154 - 2023 - Adjusting design floods for urbanization across groundwater-dominated watersheds of Long Island, NY","interactions":[],"lastModifiedDate":"2023-03-14T11:38:49.467965","indexId":"70241154","displayToPublicDate":"2023-03-12T06:36:13","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Adjusting design floods for urbanization across groundwater-dominated watersheds of Long Island, NY","docAbstract":"<div id=\"ab015\" class=\"abstract author\"><div id=\"as015\"><p id=\"sp0015\">The magnitude and variability of floods have increased for many nontidal streams on Long Island (LI), NY since the mid-20th century. One of the most densely populated regions of the United States, LI has experienced amplified floods in step with increases in impervious land cover, storm, and sanitary sewers that have accompanied urban development. To better understand the drivers of observed flood trends and effects of urbanization, a nonstationary flood frequency analysis is conducted, using historical annual peak flow records from 17 gaged watersheds on LI using conditional moments based on physical covariates from a two-stage sequential robust linear regression procedure. Regression results indicate that urban development and precipitation are significant co-predictors of peak flows for LI watersheds that have undergone rapid development during the available peak flow record. In watersheds with less intense urbanization or that were fully developed before the peak flow record began, precipitation alone was a significant explanatory variable. Long-term baseflow patterns identified using a nonparametric smoother explained some patterns of decreasing peak flows and heteroskedasticity in the peak flow records. Fitting a log-Pearson III distribution with these conditional moments, floods corresponding to a 20% annual exceedance probability (AEP) are up to 80% higher under a nonstationary framework compared with stationary under current watershed conditions, and differ significantly (95% confidence) from stationary estimates for 6 out of 17 watersheds. Larger floods corresponding to 1% AEPs do not differ significantly between nonstationary and stationary estimates at a 95% confidence level. Nonmonotonic trends observed in two watersheds indicate that recent stormwater management practices, such as rerouting stormwater outfalls away from the channel, substantially reduce flood frequency. Reduced nonstationary flood quantile estimates at these two watersheds are 20 to 40% lower than stationary estimates when accounting for changing watershed conditions over time. Across LI, stormwater management and water-table fluctuations have increased peak flow variability, characteristic of a late phase urban adjustment period on LI. Results of this study demonstrate that a nonstationary framework is a necessary step forward toward a regional flood-frequency analysis for LI. This nonstationary framework will allow flood managers to update flood discharge estimates to current conditions that reflect altered relationships between urban cover and climate for more targeted planning of flood control, transportation infrastructure, and management of floodplain ecosystems.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2023.129194","usgsCitation":"Glas, R.L., Hecht, J.S., Simonson, A.E., Gazoorian, C.L., and Schubert, C., 2023, Adjusting design floods for urbanization across groundwater-dominated watersheds of Long Island, NY: Journal of Hydrology, v. 618, 129194, 18 p., https://doi.org/10.1016/j.jhydrol.2023.129194.","productDescription":"129194, 18 p.","ipdsId":"IP-141042","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":444235,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2023.129194","text":"Publisher Index Page"},{"id":414082,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Long Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -74.05858047106763,\n              40.53935289454654\n            ],\n            [\n              -73.5589147395655,\n              40.53100675208171\n            ],\n            [\n              -72.9988498537052,\n              40.622757129246565\n            ],\n            [\n              -72.21915167927318,\n              40.85158231156032\n            ],\n            [\n              -71.88970174641427,\n              41.046499814971185\n            ],\n            [\n              -71.84577508869982,\n              41.12099665045869\n            ],\n            [\n              -72.05442671284345,\n              41.191277217075765\n            ],\n            [\n              -72.26307833698762,\n              41.21193363017932\n            ],\n            [\n              -72.65292742420364,\n              41.129268863301746\n            ],\n            [\n              -73.23495563892061,\n              41.067201851192294\n            ],\n            [\n              -73.70167637713746,\n              40.980209521445886\n            ],\n            [\n              -73.99269048449594,\n              40.83081255180315\n            ],\n            [\n              -74.11348879321068,\n              40.63525879433698\n            ],\n            [\n              -74.05858047106763,\n              40.53935289454654\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"618","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Glas, Robin L. 0000-0002-7394-1667","orcid":"https://orcid.org/0000-0002-7394-1667","contributorId":300625,"corporation":false,"usgs":true,"family":"Glas","given":"Robin","email":"","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hecht, Jory Seth 0000-0002-9485-3332","orcid":"https://orcid.org/0000-0002-9485-3332","contributorId":257771,"corporation":false,"usgs":true,"family":"Hecht","given":"Jory","email":"","middleInitial":"Seth","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":866290,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simonson, Amy E. 0000-0001-8468-5382","orcid":"https://orcid.org/0000-0001-8468-5382","contributorId":217671,"corporation":false,"usgs":true,"family":"Simonson","given":"Amy","email":"","middleInitial":"E.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866291,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gazoorian, Christopher L. 0000-0002-5408-6212 cgazoori@usgs.gov","orcid":"https://orcid.org/0000-0002-5408-6212","contributorId":2929,"corporation":false,"usgs":true,"family":"Gazoorian","given":"Christopher","email":"cgazoori@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866292,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schubert, Christopher 0000-0002-5137-1229 schubert@usgs.gov","orcid":"https://orcid.org/0000-0002-5137-1229","contributorId":138826,"corporation":false,"usgs":true,"family":"Schubert","given":"Christopher","email":"schubert@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":866293,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70241458,"text":"70241458 - 2023 - Assessing impaired benthic communities using sediment toxicity and contaminant concentrations from reference sites inside the Niagara River Area of Concern","interactions":[],"lastModifiedDate":"2023-03-21T11:54:10.759916","indexId":"70241458","displayToPublicDate":"2023-03-10T06:50:50","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Assessing impaired benthic communities using sediment toxicity and contaminant concentrations from reference sites inside the Niagara River Area of Concern","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"ab005\" class=\"abstract author\"><div id=\"as005\"><p id=\"sp0005\">Anthropogenically degraded benthic-macroinvertebrate communities (benthos) are one of seven beneficial use impairments (BUIs) in the Niagara River Area of Concern (AOC). Over the last 50&nbsp;years, upgrades to waste-water treatment, industry closures, and sediment remediations reduced contaminant levels throughout the system. Improvements in benthic communities and sediment toxicity, however, were difficult to assess because there are no comparable reference reaches outside the AOC. A multi-phase study was initiated in 2015 to determine if data from inside the AOC could identify reference conditions, if toxicity and benthic-community data from these sites differed from other AOC sites, and if further remediation efforts were warranted in parts of the AOC. Concentrations or quotients of PAHs, PCBs, dioxins and furans, pesticides, and most metals were below their New York Sediment Class A Guidance Values at 10 sites that were subsequently designated as reference sites. Survival and growth data from<span>&nbsp;</span><i>Chironomus dilutus</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Hyalella azteca</i><span>&nbsp;</span>bioassays indicated that sediments from only a few individual AOC-impact sites were toxic or significantly different from reference sites, and that mean toxicity at pooled AOC-impact and reference sites did not differ significantly. Similarly, New York Biological Assessment Profile scores and chironomid mentum deformity scores at only a few individual sites differed significantly from corresponding indices at reference sites, but neither metric differed significantly in comparisons between pooled AOC-impact and reference sites. Most analyses indicated that benthic communities were unimpaired and that removal criteria for the benthos BUI were largely met in much of the upper Niagara River AOC.</p></div></div></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2023.01.002","usgsCitation":"Baldigo, B., George, S.D., Lenox, A., Filipski, M., and Duffy, B.T., 2023, Assessing impaired benthic communities using sediment toxicity and contaminant concentrations from reference sites inside the Niagara River Area of Concern: Journal of Great Lakes Research, v. 49, no. 2, p. 463-478, https://doi.org/10.1016/j.jglr.2023.01.002.","productDescription":"16 p.","startPage":"463","endPage":"478","ipdsId":"IP-144790","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":444253,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2023.01.002","text":"Publisher Index Page"},{"id":414423,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Niagra River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -79.02471125107051,\n              42.99189397743106\n            ],\n            [\n              -79.02471125107051,\n              42.81190313273606\n            ],\n            [\n              -78.84214107994451,\n              42.81190313273606\n            ],\n            [\n              -78.84214107994451,\n              42.99189397743106\n            ],\n            [\n              -79.02471125107051,\n              42.99189397743106\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"49","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Baldigo, Barry P. 0000-0002-9862-9119","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":25174,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866893,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866894,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lenox, Andrew","contributorId":303245,"corporation":false,"usgs":false,"family":"Lenox","given":"Andrew","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":866895,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Filipski, Mark","contributorId":303246,"corporation":false,"usgs":false,"family":"Filipski","given":"Mark","email":"","affiliations":[{"id":65724,"text":"New York State Dept. of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":866896,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duffy, Brian T.","contributorId":272971,"corporation":false,"usgs":false,"family":"Duffy","given":"Brian","email":"","middleInitial":"T.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":866897,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70250979,"text":"70250979 - 2023 - Movement ecology of diploid and triploid grass carp in a large reservoir and upstream tributaries","interactions":[],"lastModifiedDate":"2024-01-18T11:50:28.906291","indexId":"70250979","displayToPublicDate":"2023-03-08T05:48:43","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Movement ecology of diploid and triploid grass carp in a large reservoir and upstream tributaries","docAbstract":"<div class=\"abstract toc-section abstract-type-\"><div class=\"abstract-content\"><p>Grass carp<span>&nbsp;</span><i>Ctenopharyngodon idella</i>, is an herbivorous fish originally brought to North America from Asia in 1963 to control nuisance aquatic vegetation. Since their arrival, detrimental alterations to aquatic ecosystems have sometimes occurred in waterways where they were initially stocked and into which they have escaped. The movements of grass carp from lentic systems into tributaries required for spawning is poorly understood, and understanding environmental conditions associated with upstream migrations may aid in management of the species. We stocked 43 fertile diploid and 43 sterile triploid grass carp implanted with acoustic transmitters into Truman Reservoir, Missouri, USA between January 2017 and October 2018 to characterize movements during spring and summer when spawning conditions occur. Twenty fish (11 diploid/9 triploid) exhibited upstream migration behavior in the Osage River, a major tributary, in 2018 and 2019. Migration primarily occurred in April and May, during high discharge events associated with increasing river stage when water temperatures were between 15 and 28°C. Observed migrations ranged from 3.0–108 river km in length, and six individuals were observed making multiple upstream migrations in one season. Eleven fish initiated upstream migrations while in the lentic main body of the reservoir. These findings provide some evidence for upstream migrations by diploid and triploid grass carp as well both lake and river residents. Evidence of similar upstream migration behavior by both diploid and triploid grass carp suggests that triploids may be suitable surrogates for diploids for study of movement ecology. Removal efforts in tributaries targeting periods of increasing river stage during spring may provide the best opportunity of encountering large concentrations of grass carp.</p></div></div>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0281128","usgsCitation":"Hessler, T.M., Chapman, D., Paukert, C.P., Jolley, J., and Byrne, M.E., 2023, Movement ecology of diploid and triploid grass carp in a large reservoir and upstream tributaries: PLoS ONE, v. 18, no. 3, e0281128, 17 p., https://doi.org/10.1371/journal.pone.0281128.","productDescription":"e0281128, 17 p.","ipdsId":"IP-143080","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":444274,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1371/journal.pone.0281128","text":"Publisher Index 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,{"id":70250577,"text":"70250577 - 2023 - Preventing and controlling nonnative species invasions to bend the curve of global freshwater biodiversity loss","interactions":[],"lastModifiedDate":"2023-12-16T13:03:08.996996","indexId":"70250577","displayToPublicDate":"2023-03-07T06:59:14","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5056,"text":"Environmental Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Preventing and controlling nonnative species invasions to bend the curve of global freshwater biodiversity loss","docAbstract":"<div id=\"abstracts\" data-extent=\"frontmatter\"><div class=\"core-container\"><div>The Emergency Recovery Plan for freshwater biodiversity recognizes that addressing nonnative species is one of six principal actions needed to bend the curve in freshwater biodiversity loss. This is because introduction rates of nonnative species continue to accelerate globally and where these species develop invasive populations, they can have severe impacts on freshwater biodiversity. The most effective management measure to protect freshwater biodiversity is to prevent introductions of nonnative species. Should a nonnative species be introduced, however, then its early detection and the implementation of rapid reaction measures can avoid it establishing and dispersing. If these measures are unsuccessful and the species becomes invasive, then control and containment measures can minimize its further spread and impact. Minimizing further spread and impact includes control methods to reduce invader abundance and containment methods such as screening of invaded sites and strict biosecurity to avoid the invader dispersing to neighbouring basins. These management actions have benefitted from developments in invasion risk assessment that can prioritize species according to their invasion risk and, for species already invasive, ensure that management actions are commensurate with assessed risk. The successful management of freshwater nonnative species still requires the overcoming of some implementation challenges, including nonnative species often being a symptom of degraded habitats rather than the main driver of ecological change, and eradication methods often being nonspecies specific. Given the multiple anthropogenic stressors in freshwaters, nonnative species management must work with other restoration strategies if it is to deliver the Emergency Recovery Plan for freshwater biodiversity.</div></div></div>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/er-2022-0103","usgsCitation":"Britton, J.R., Lynch, A., Bardal, H., Bradbeer, S.J., Coetzee, J.A., Coughlan, N.E., Dalu, T., Tricarico, E., Gallardo, B., Lintermans, M., Lucy, F., Liu, C., Olden, J., Raghavan, R., and Pritchard, E., 2023, Preventing and controlling nonnative species invasions to bend the curve of global freshwater biodiversity loss: Environmental Reviews, v. 31, no. 2, p. 310-326, https://doi.org/10.1139/er-2022-0103.","productDescription":"17 p.","startPage":"310","endPage":"326","ipdsId":"IP-145329","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":444278,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/er-2022-0103","text":"Publisher Index Page"},{"id":423676,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Britton, J. 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,{"id":70241204,"text":"70241204 - 2023 - Linking seed size and number to trait syndromes in trees","interactions":[],"lastModifiedDate":"2023-04-12T14:29:50.050589","indexId":"70241204","displayToPublicDate":"2023-03-07T06:40:37","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1839,"text":"Global Ecology and Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Linking seed size and number to trait syndromes in trees","docAbstract":"<h3 id=\"geb13652-sec-0001-title\" class=\"article-section__sub-title section1\">Aim</h3><p>Our understanding of the mechanisms that maintain forest diversity under changing climate can benefit from knowledge about traits that are closely linked to fitness. We tested whether the link between traits and seed number and seed size is consistent with two hypotheses, termed the leaf economics spectrum and the plant size syndrome, or whether reproduction represents an independent dimension related to a seed size–seed number trade-off.</p><h3 id=\"geb13652-sec-0002-title\" class=\"article-section__sub-title section1\">Location</h3><p>Most of the data come from Europe, North and Central America and East Asia. A minority of the data come from South America, Africa and Australia.</p><h3 id=\"geb13652-sec-0003-title\" class=\"article-section__sub-title section1\">Time period</h3><p>1960–2022.</p><h3 id=\"geb13652-sec-0004-title\" class=\"article-section__sub-title section1\">Major taxa studied</h3><p>Trees.</p><h3 id=\"geb13652-sec-0005-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We gathered 12 million observations of the number of seeds produced in 784 tree species. We estimated the number of seeds produced by individual trees and scaled it up to the species level. Next, we used principal components analysis and generalized joint attribute modelling (GJAM) to map seed number and size on the tree traits spectrum.</p><h3 id=\"geb13652-sec-0006-title\" class=\"article-section__sub-title section1\">Results</h3><p>Incorporating seed size and number into trait analysis while controlling for environment and phylogeny with GJAM exposes relationships in trees that might otherwise remain hidden. Production of the large total biomass of seeds [product of seed number and seed size; hereafter, species seed productivity (SSP)] is associated with high leaf area, low foliar nitrogen, low specific leaf area (SLA) and dense wood. Production of high seed numbers is associated with small seeds produced by nutrient-demanding species with softwood, small leaves and high SLA. Trait covariation is consistent with opposing strategies: one fast-growing, early successional, with high dispersal, and the other slow-growing, stress-tolerant, that recruit in shaded conditions.</p><h3 id=\"geb13652-sec-0007-title\" class=\"article-section__sub-title section1\">Main conclusions</h3><p>Earth system models currently assume that reproductive allocation is indifferent among plant functional types. Easily measurable seed size is a strong predictor of the seed number and species seed productivity. The connection of SSP with the functional traits can form the first basis of improved fecundity prediction across global forests.</p>","language":"English","publisher":"Wiley","doi":"10.1111/geb.13652","usgsCitation":"Bogdziewicz, M., Acuña, M., Andrus, R.A., Ascoli, D., Bergeron, Y., Brveiller, D., Boivin, T., Bonal, R., Caignard, T., Cailleret, M., Calama, R., Calderon, S.D., Camarero, J., Chang-Yang, C., Chave, J., Chianucci, F., Cleavitt, N.L., Courbaud, B., Cutini, A., Curt, T., Das, A., Davi, H., Delpiere, N., Delzon, S., Dietze, M., Dormont, L., Farfan-Rios, W., Gehring, C.A., Gilbert, G.S., Gratzer, G., Greenberg, C.H., Guignabert, A., Guo, Q., Hacket-Pain, A., Hampe, A., Han, Q., Hoshizaki, K., Ibanez, I., Johnstone, J.F., Journe, V., Kitzberger, T., Knops, J., Kunstler, G., Kobe, R., Lageard, J.G., LaMontagne, J., Ledwon, M., Leininger, T., Limousin, J., Lutz, J.A., Macias, D., Marell, A., McIntire, E.J., Moran, E.V., Motta, R., Myers, J.A., Nagel, T.A., Naoe, S., Noguchi, K., Oguro, M., Kurokawa, H., Ourcival, J., Parmenter, R., Perez-Ramos, I., Piechnik, L., Podgorski, T., Poulsen, J., Qiu, T., Redmond, M.D., Reid, C., Rodman, K., Šamonil, P., Holik, J., Scher, C.L., Van Marle, H.S., Seget, B., Shibata, M., Sharma, S., Silman, M., Steele, M.A., Straub, J.N., Sun, I., Sutton, S., Swenson, J., Thomas, P., Uriarte, M., Vacchiano, G., Veblen, T.T., Wright, B., Wright, S.J., Whitham, T.G., Zhu, K., Zimmerman, J.K., Zywiec, M., and Clark, J.S., 2023, Linking seed size and number to trait syndromes in trees: Global Ecology and Biogeography, v. 32, no. 5, p. 683-694, https://doi.org/10.1111/geb.13652.","productDescription":"12 p.","startPage":"683","endPage":"694","ipdsId":"IP-149887","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":444282,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.inrae.fr/hal-04032674","text":"External 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Szafer Institute of Botany, Polish Academy of Sciences, Krakow, Poland","active":true,"usgs":false}],"preferred":false,"id":866527,"contributorType":{"id":1,"text":"Authors"},"rank":94},{"text":"Clark, James S.","contributorId":248348,"corporation":false,"usgs":false,"family":"Clark","given":"James","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":866528,"contributorType":{"id":1,"text":"Authors"},"rank":95}]}}
,{"id":70241037,"text":"70241037 - 2023 - Symbiotic nitrogen fixation does not stimulate soil phosphatase activity under temperate and tropical trees","interactions":[],"lastModifiedDate":"2023-03-31T15:20:23.406346","indexId":"70241037","displayToPublicDate":"2023-03-06T07:06:31","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Symbiotic nitrogen fixation does not stimulate soil phosphatase activity under temperate and tropical trees","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section c-article-content-visibility\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Symbiotic nitrogen (N)-fixing plants can enrich ecosystems with N, which can alter the cycling and demand for other nutrients. Researchers have hypothesized that fixed N could be used by plants and soil microbes to produce extracellular phosphatase enzymes, which release P from organic matter. Consistent with this speculation, the presence of N-fixing plants is often associated with high phosphatase activity, either in the soil or on root surfaces, although other studies have not found this association, and the connection between phosphatase and rates of N fixation—the mechanistic part of the argument—is tenuous. Here, we measured soil phosphatase activity under N-fixing trees and non-fixing trees transplanted and grown in tropical and temperate sites in the USA: two sites in Hawaii, and one each in New York and Oregon. This provides a rare example of phosphatase activity measured in a multi-site field experiment with rigorously quantified rates of N fixation. We found no difference in soil phosphatase activity under N-fixing vs. non-fixing trees nor across rates of N fixation, though we note that no sites were P limited and only one was N limited. Our results add to the literature showing no connection between N fixation rates and phosphatase activity.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s00442-023-05339-4","usgsCitation":"Jager, E., Quebbeman, A., Wolf, A.A., Perakis, S.S., Funk, J.L., and Menge, D., 2023, Symbiotic nitrogen fixation does not stimulate soil phosphatase activity under temperate and tropical trees: Oecologia, v. 201, p. 827-840, https://doi.org/10.1007/s00442-023-05339-4.","productDescription":"14 p.","startPage":"827","endPage":"840","ipdsId":"IP-142220","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":413761,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"201","noUsgsAuthors":false,"publicationDate":"2023-03-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Jager, Emily","contributorId":302904,"corporation":false,"usgs":false,"family":"Jager","given":"Emily","email":"","affiliations":[{"id":65577,"text":"Columbia Univ","active":true,"usgs":false}],"preferred":false,"id":865788,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quebbeman, Andrew","contributorId":302905,"corporation":false,"usgs":false,"family":"Quebbeman","given":"Andrew","email":"","affiliations":[{"id":52786,"text":"Columbia U","active":true,"usgs":false}],"preferred":false,"id":865789,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolf, Amelia A.","contributorId":190685,"corporation":false,"usgs":false,"family":"Wolf","given":"Amelia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":865790,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perakis, Steven S. 0000-0003-0703-9314 sperakis@usgs.gov","orcid":"https://orcid.org/0000-0003-0703-9314","contributorId":145528,"corporation":false,"usgs":true,"family":"Perakis","given":"Steven","email":"sperakis@usgs.gov","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":865791,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Funk, Jennifer L.","contributorId":260668,"corporation":false,"usgs":false,"family":"Funk","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":865792,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Menge, Duncan N.L.","contributorId":302906,"corporation":false,"usgs":false,"family":"Menge","given":"Duncan N.L.","affiliations":[{"id":52786,"text":"Columbia U","active":true,"usgs":false}],"preferred":false,"id":865793,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70242669,"text":"70242669 - 2023 - Using DC resistivity ring array surveys to resolve conductive structures around tunnels or mine-workings","interactions":[],"lastModifiedDate":"2023-04-12T11:49:04.808559","indexId":"70242669","displayToPublicDate":"2023-03-04T06:46:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2165,"text":"Journal of Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Using DC resistivity ring array surveys to resolve conductive structures around tunnels or mine-workings","docAbstract":"<p id=\"sp010\">In underground environments, conventional direct current (DC) resistivity surveys with a single linear array of electrodes produce fundamentally non-unique inversions. These non-uniqueness and model resolution issues stem from limitations placed on the location of transmitters (TXs) and receivers (RXs) by the geometry of existing tunnels and boreholes. Poor excitation and/or sampling of the region of interest (ROI) can create artifacts and reduce the resolution of the recovered model.</p><p id=\"sp015\">To address these problems we propose the use of an ensemble of ring arrays, which are created by placing one or more electrodes in each face (sidewalls, floor, and ceiling) of the tunnel to form a ring of electrodes at each along-tunnel location. Using a series of increasingly complex synthetic models, we assess the benefits of ring arrays and show that they can be used to better constrain the location and shape of anomalous bodies around the tunnel.</p><p id=\"sp020\">Although ring arrays significantly improve the resolution of the recovered model, the size of the comprehensive ring array survey increases rapidly with the number of electrodes used. To balance model resolution and survey size, we developed a physics-based survey design methodology. In this methodology, TXs are selected based upon secondary charge accumulations on a test block that is moved throughout the ROI. Although this survey design methodology does not produce a strictly optimal survey, it balances model resolution and survey size in a practical and computationally efficient manner.</p><p id=\"sp025\">Since the ring array more accurately estimates the around-tunnel location of targets and ensures that targets on all sides of the tunnel are detected, it is ideally suited to tunnel-based environments. Our results show that only about<span>&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>6</mn><mo is=&quot;true&quot;>%</mo></mrow></math>\"><span class=\"MJX_Assistive_MathML\">6%</span></span></span><span>&nbsp;</span>of the possible TXs and<span>&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>0.5</mn><mo is=&quot;true&quot;>%</mo></mrow></math>\"><span class=\"MJX_Assistive_MathML\">0.5%</span></span></span><span>&nbsp;</span>of the RXs in the comprehensive ring array survey are needed to retain the improvements in resolution. Therefore, economical ring array surveys can be designed for both reconnaissance and target characterization. Following the inversion of the reconnaissance dataset, additional rings can be added to reduce the inter-ring spacing or off-tunnel boreholes can be added to the region around identified anomalies to increase resolution as required.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jappgeo.2023.104949","usgsCitation":"Mitchell, M.A., and Oldenburg, D.W., 2023, Using DC resistivity ring array surveys to resolve conductive structures around tunnels or mine-workings: Journal of Applied Geophysics, v. 211, 104949, 28 p., https://doi.org/10.1016/j.jappgeo.2023.104949.","productDescription":"104949, 28 p.","ipdsId":"IP-140867","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":415646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"211","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mitchell, Michael Albert 0000-0001-5070-8793","orcid":"https://orcid.org/0000-0001-5070-8793","contributorId":299110,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"","middleInitial":"Albert","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":869276,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oldenburg, Douglas W. 0000-0002-4327-2124","orcid":"https://orcid.org/0000-0002-4327-2124","contributorId":304117,"corporation":false,"usgs":false,"family":"Oldenburg","given":"Douglas","email":"","middleInitial":"W.","affiliations":[{"id":65972,"text":"Geophysical Inversion Facility (GIF), Department of Earth, Ocean and Atmospheric Sciences, University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":869277,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70243116,"text":"70243116 - 2023 - Efficacy of florfenicol and oxytetracycline administered in feed to control cisco mortality associated with Aeromonas salmonicida infections","interactions":[],"lastModifiedDate":"2023-05-01T12:03:53.30186","indexId":"70243116","displayToPublicDate":"2023-03-03T07:00:47","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2885,"text":"North American Journal of Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"Efficacy of florfenicol and oxytetracycline administered in feed to control cisco mortality associated with Aeromonas salmonicida infections","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Two medications (one with florfenicol and one with oxytetracycline) that are approved in the United States to control mortality due to furunculosis associated with<span>&nbsp;</span><i>Aeromonas salmonicida</i><span>&nbsp;</span>were assessed to determine their efficacy in medicated feeds to treat<span>&nbsp;</span><i>A. salmonicida</i>-infected Cisco&nbsp;(also&nbsp;known&nbsp;as&nbsp;Lake&nbsp;Herring)<span>&nbsp;</span><i>Coregonus artedi</i>. Cisco were subjected to static infection baths containing<span>&nbsp;</span><i>A. salmonicida</i><span>&nbsp;</span>or a sham control and then were distributed to replicate test tanks within four treatment groups: (1) fish infected with<span>&nbsp;</span><i>A. salmonicida</i><span>&nbsp;</span>and treated with 15 mg florfenicol·kg body weight (BW)<sup>−1</sup>·d<sup>−1</sup>, (2) fish infected with<span>&nbsp;</span><i>A. salmonicida</i><span>&nbsp;</span>and treated with 83 mg oxytetracycline·kg BW<sup>−1</sup>·d<sup>−1</sup>, (3) fish infected with<span>&nbsp;</span><i>A. salmonicida</i><span>&nbsp;</span>and treated with a nonmedicated control feed, and (4) uninfected fish treated with a nonmedicated control feed. Medicated and comparative nonmedicated feed rations were administered at 2% BW/d for 10 consecutive days in accordance with the U.S. Food and Drug Administration-approved drug label, followed by a 7-d postdosing observation period using only nonmedicated feed. Cisco that were infected with<span>&nbsp;</span><i>A. salmonicida</i><span>&nbsp;</span>and treated with florfenicol (79% survival) and oxytetracycline (85% survival) had significantly higher survival than<span>&nbsp;</span><i>A. salmonicida</i>-infected fish that received no medicated treatment (3% survival). No statistical difference in Cisco survival between the two medicated feed types was found.<span>&nbsp;</span><i>Aeromonas salmonicida</i><span>&nbsp;</span>was not detected in the kidney tissue of any surviving fish treated with medicated feeds at 7 d postdosing using quantitative PCR analysis. Overall, this study demonstrated that florfenicol- and oxytetracycline-medicated feeds were effective<span>&nbsp;</span><i>A. salmonicida</i><span>&nbsp;</span>treatments for Cisco. Outcomes may inform ongoing propagation efforts for Cisco restoration within the Great Lakes basin.</p></div></div>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/naaq.10283","usgsCitation":"Cupp, A.R., Tuttle-Lau, M.T., Leis, E., Wolfe, S.L., Smerud, J.R., Oliver, J.W., Erickson, R.A., Hannah, A., Johnson, A., Nelson, R.G., Standish, I., Wils, J., and Gaikowski, M., 2023, Efficacy of florfenicol and oxytetracycline administered in feed to control cisco mortality associated with Aeromonas salmonicida infections: North American Journal of Aquaculture, v. 85, no. 2, p. 156-165, https://doi.org/10.1002/naaq.10283.","productDescription":"10 p.","startPage":"156","endPage":"165","ipdsId":"IP-141637","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":499257,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/naaq.10283","text":"Publisher Index Page"},{"id":435424,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9D332EL","text":"USGS data release","linkHelpText":"Coregonid"},{"id":435423,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JLTQSM","text":"USGS data release","linkHelpText":"Treatment of Aeromonas salmonicida in Lake Herring (Coregonus artedi) Using Medicated Feeds"},{"id":416545,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"85","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-03-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Cupp, Aaron R. 0000-0001-5995-2100 acupp@usgs.gov","orcid":"https://orcid.org/0000-0001-5995-2100","contributorId":5162,"corporation":false,"usgs":true,"family":"Cupp","given":"Aaron","email":"acupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":871103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tuttle-Lau, Maren T.","contributorId":146196,"corporation":false,"usgs":false,"family":"Tuttle-Lau","given":"Maren","email":"","middleInitial":"T.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":871104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leis, Eric","contributorId":179325,"corporation":false,"usgs":false,"family":"Leis","given":"Eric","affiliations":[],"preferred":false,"id":871105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wolfe, Samantha L. 0000-0001-8563-8836","orcid":"https://orcid.org/0000-0001-8563-8836","contributorId":274999,"corporation":false,"usgs":true,"family":"Wolfe","given":"Samantha","email":"","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":871106,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smerud, Justin R. 0000-0003-4385-7437 jrsmerud@usgs.gov","orcid":"https://orcid.org/0000-0003-4385-7437","contributorId":5031,"corporation":false,"usgs":true,"family":"Smerud","given":"Justin","email":"jrsmerud@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":871107,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oliver, John W.","contributorId":304594,"corporation":false,"usgs":false,"family":"Oliver","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":66124,"text":"University of Wisconsin-La Crosse, under contract to the U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":871108,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":871109,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hannah, Austin","contributorId":304595,"corporation":false,"usgs":false,"family":"Hannah","given":"Austin","email":"","affiliations":[{"id":66125,"text":"U.S. Fish and Wildlife Service, MFC","active":true,"usgs":false}],"preferred":false,"id":871110,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnson, Aaron","contributorId":304596,"corporation":false,"usgs":false,"family":"Johnson","given":"Aaron","email":"","affiliations":[{"id":66125,"text":"U.S. Fish and Wildlife Service, MFC","active":true,"usgs":false}],"preferred":false,"id":871111,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nelson, Rachel Grace 0000-0002-4518-7716","orcid":"https://orcid.org/0000-0002-4518-7716","contributorId":304597,"corporation":false,"usgs":true,"family":"Nelson","given":"Rachel","email":"","middleInitial":"Grace","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":871112,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Standish, Isaac","contributorId":304598,"corporation":false,"usgs":false,"family":"Standish","given":"Isaac","email":"","affiliations":[{"id":66125,"text":"U.S. Fish and Wildlife Service, MFC","active":true,"usgs":false}],"preferred":false,"id":871113,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wils, Joel","contributorId":304599,"corporation":false,"usgs":false,"family":"Wils","given":"Joel","email":"","affiliations":[{"id":66125,"text":"U.S. Fish and Wildlife Service, MFC","active":true,"usgs":false}],"preferred":false,"id":871114,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Gaikowski, Mark P. 0000-0002-6507-9341 mgaikowski@usgs.gov","orcid":"https://orcid.org/0000-0002-6507-9341","contributorId":149357,"corporation":false,"usgs":true,"family":"Gaikowski","given":"Mark P.","email":"mgaikowski@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":871115,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70250079,"text":"70250079 - 2023 - Climate change and maple syrup: Producer observations, perceptions, knowledge, and adaptation strategies","interactions":[],"lastModifiedDate":"2023-11-16T12:49:42.736658","indexId":"70250079","displayToPublicDate":"2023-03-02T06:48:22","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5860,"text":"Frontiers in Forests and Global Change","active":true,"publicationSubtype":{"id":10}},"title":"Climate change and maple syrup: Producer observations, perceptions, knowledge, and adaptation strategies","docAbstract":"<p class=\"mb15\"><strong>Introduction:</strong><span>&nbsp;</span>Climate change is impacting forest-based agricultural systems with implications for producer decision-making and livelihoods. This article presents a case study on the observations, perceptions, knowledge, and adaptation strategies of maple syrup producers in the United States to climate change.</p><p class=\"mb15\"><strong>Methods:</strong><span>&nbsp;</span>We carried out two semi-structured surveys with maple producers on: (1) climate change and its impacts on the maple system (<i>n</i><span>&nbsp;</span>= 106 participants); and (2) responses to climate adaptation scenarios (<i>n</i><span>&nbsp;</span>= 98 participants). Additionally, we carried out two focus groups and key informant interviews (<i>n</i><span>&nbsp;</span>= 70+) to understand barriers and opportunities for climate adaptation. One of these focus groups and follow up key informant interviews was with tribally affiliated community members with the intention to acknowledge Indigenous Peoples’ voices, history, and relationships to the land.</p><p class=\"mb15\"><strong>Results:</strong><span>&nbsp;</span>Findings highlight that most of the surveyed producers (89%) have experienced the negative impacts of climate on maple syrup production. While 40% of participants feel concerned regarding the future of the maple system, 39% feel hopeful, with significant differences based on the age of the surveyed producers. The majority of producers have adapted their harvesting practices to climate effects. Producers shared knowledge of multiple adaptation strategies in response to climate scenarios comprised of: (1) stand management practices such as diversification of sap species tapped; (2) harvesting practices such as changing the type and number of taps; (3) sap processing practices focused on the integration of technology such as the use of an evaporator and reverse osmosis; and (4) marketing practices such as innovation of products and marketing different maple syrup characteristics. Responses shared by tribally affiliated producers highlight knowledge of multiple adaptation strategies that focus on long-term ecological management of forests rather than technological solutions.</p><p class=\"mb0\"><strong>Discussion:</strong><span>&nbsp;</span>Overall, findings emphasize the importance of cooperation and diversification at every level and dimension of the maple system for its long-term resilience.</p>","language":"English","publisher":"Frontiers","doi":"10.3389/ffgc.2023.1092218","usgsCitation":"Ahmed, S., Lutz, D.A., Rapp, T., Huish, R.H., Dufour, B., Brunelle, A., Morelli, T.L., Stinson, K.A., and Warne, T., 2023, Climate change and maple syrup: Producer observations, perceptions, knowledge, and adaptation strategies: Frontiers in Forests and Global Change, v. 6, 1092218, 21 p., https://doi.org/10.3389/ffgc.2023.1092218.","productDescription":"1092218, 21 p.","ipdsId":"IP-147787","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":444309,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/ffgc.2023.1092218","text":"Publisher Index Page"},{"id":422654,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","noUsgsAuthors":false,"publicationDate":"2023-03-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Ahmed, Selena","contributorId":232416,"corporation":false,"usgs":false,"family":"Ahmed","given":"Selena","email":"","affiliations":[],"preferred":false,"id":888249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lutz, David A.","contributorId":232418,"corporation":false,"usgs":false,"family":"Lutz","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":888250,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rapp, T Joshua","contributorId":331633,"corporation":false,"usgs":false,"family":"Rapp","given":"T Joshua","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":888251,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huish, Ryan H.","contributorId":232414,"corporation":false,"usgs":false,"family":"Huish","given":"Ryan","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":888252,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dufour, Boris","contributorId":232415,"corporation":false,"usgs":false,"family":"Dufour","given":"Boris","email":"","affiliations":[],"preferred":false,"id":888253,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brunelle, Autumn","contributorId":331634,"corporation":false,"usgs":false,"family":"Brunelle","given":"Autumn","affiliations":[{"id":79257,"text":"Monroe Count Government","active":true,"usgs":false}],"preferred":false,"id":888254,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Morelli, Toni Lyn 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":197458,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"Lyn","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":888255,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stinson, Kristina A.","contributorId":232417,"corporation":false,"usgs":false,"family":"Stinson","given":"Kristina","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":888256,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Warne, Teresa","contributorId":331635,"corporation":false,"usgs":false,"family":"Warne","given":"Teresa","email":"","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":888257,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70265046,"text":"70265046 - 2023 - Using public litigation records to identify priority science needs for managing public lands","interactions":[],"lastModifiedDate":"2025-03-31T15:28:46.250573","indexId":"70265046","displayToPublicDate":"2023-03-01T10:24:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Using public litigation records to identify priority science needs for managing public lands","docAbstract":"<p><span>Relevant science is essential for effective natural resource decision making, including on public lands managed by the United States Department of the Interior (DOI) Bureau of Land Management (BLM), that cover 1/10th of the United States. Most of the BLM’s management decisions require analyses under the National Environmental Policy Act, and the use of science in these decisions is often challenged. Using coproduction, we assembled an interagency team of scientists and resource managers to develop a method for using public litigation to identify priority science needs for the BLM. We searched publicly available case documents finalized from 2015–2019 in Wyoming, Colorado, Utah, and New Mexico within federal courts and the DOI Office of Hearings and Appeals, and identified 108 case documents that involved challenges to the BLM’s use of science. We retained 48 case documents that contained at least one challenge about the BLM’s use of science for a specific resource. We categorized all challenges in each case document according to the proposed action, affected resource, type of science challenged (data about resources, science relevant to potential impacts, methods for analyzing potential impacts, and mitigation actions), and specific nature of the challenge (e.g., challenging direct effects analysis). We identified priority science needs based on the frequency of challenges, the number of states where similar challenges occurred, whether the BLM lost the challenge, and whether the case was remanded. Top needs related to oil and gas development actions and included science about effects on air quality and climate, water, and socioeconomics; data for air quality and climate; and methods for analyzing potential impacts to cultural resources and air quality and climate. The BLM can use this information to prioritize actions (e.g., funding new research or science syntheses) to strengthen its science foundation for decision-making.</span></p>","language":"English","publisher":"Resilience Alliance","doi":"10.5751/ES-13708-280111","usgsCitation":"Foster, A.C., Carter, S.K., Haby, T.S., Espy, L., and Barton, M., 2023, Using public litigation records to identify priority science needs for managing public lands: Ecology and Society, v. 28, no. 1, 11, 27 p., https://doi.org/10.5751/ES-13708-280111.","productDescription":"11, 27 p.","ipdsId":"IP-130700","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":488927,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-13708-280111","text":"Publisher Index Page"},{"id":484021,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, New Mexico, Utah, 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,{"id":70248778,"text":"70248778 - 2023 - Indicators of the effects of climate change on freshwater ecosystems","interactions":[],"lastModifiedDate":"2023-09-21T12:06:36.333278","indexId":"70248778","displayToPublicDate":"2023-03-01T07:03:57","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1246,"text":"Climate Change","onlineIssn":"1573-1480","printIssn":"0165-0009","active":true,"publicationSubtype":{"id":10}},"title":"Indicators of the effects of climate change on freshwater ecosystems","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Freshwater ecosystems, including lakes, streams, and wetlands, are responsive to climate change and other natural and anthropogenic stresses. These ecosystems are frequently hydrologically and ecologically connected with one another and their surrounding landscapes, thereby integrating changes throughout their watersheds. The responses of any given freshwater ecosystem to climate change depend on the magnitude of climate forcing, interactions with other anthropogenic and natural changes, and the characteristics of the ecosystem itself. Therefore, the magnitude and manner in which freshwater ecosystems respond to climate change are difficult to predict a priori. We present a conceptual model to elucidate how freshwater ecosystems are altered by climate change. We identify eleven indicators that describe the response of freshwater ecosystems to climate change, discuss their potential value and limitations, and describe supporting measurements. Indicators are organized in three interrelated categories: hydrologic, water quality, and ecosystem structure and function. The indicators are supported by data sets with a wide range of temporal and spatial coverage, and they inform important scientific and management needs. Together, these indicators improve the understanding and management of the effects of climate change on freshwater ecosystems.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10584-022-03457-1","usgsCitation":"Rose, K.C., Bierwagen, B., Bridgham, S.D., Carlisle, D.M., Hawkins, C., Poff, N.L., Read, J., Rohr, J., Saros, J.E., and Williamson, C.E., 2023, Indicators of the effects of climate change on freshwater ecosystems: Climate Change, v. 176, 23, 20 p., https://doi.org/10.1007/s10584-022-03457-1.","productDescription":"23, 20 p.","ipdsId":"IP-087945","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":444327,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11254324","text":"External Repository"},{"id":421018,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"176","noUsgsAuthors":false,"publicationDate":"2023-03-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Rose, Kevin C.","contributorId":174809,"corporation":false,"usgs":false,"family":"Rose","given":"Kevin","email":"","middleInitial":"C.","affiliations":[{"id":12656,"text":"Rensselaer Polytechnic Institute","active":true,"usgs":false}],"preferred":false,"id":883564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bierwagen, Britta","contributorId":201420,"corporation":false,"usgs":false,"family":"Bierwagen","given":"Britta","email":"","affiliations":[],"preferred":false,"id":883565,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bridgham, Scott D.","contributorId":177413,"corporation":false,"usgs":false,"family":"Bridgham","given":"Scott","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":883566,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":883567,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hawkins, Charles P.","contributorId":173015,"corporation":false,"usgs":false,"family":"Hawkins","given":"Charles P.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":883568,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Poff, N. 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