{"pageNumber":"293","pageRowStart":"7300","pageSize":"25","recordCount":184769,"records":[{"id":70241606,"text":"70241606 - 2023 - A targeted annual warning system developed for the conservation of a sagebrush indicator species","interactions":[],"lastModifiedDate":"2023-03-24T12:07:59.966599","indexId":"70241606","displayToPublicDate":"2023-03-20T07:02:19","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"A targeted annual warning system developed for the conservation of a sagebrush indicator species","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"ab010\" class=\"abstract author\"><div id=\"as010\"><p id=\"sp0010\">A fundamental goal of population ecologists is to identify drivers responsible for temporal variation in abundance. Understanding whether variation is associated with environmental stochasticity or anthropogenic disturbances, which are more amenable to management action, is crucial yet difficult to achieve. Here, we present a hierarchical monitoring framework that models rates of change in abundance from spatially structured populations and identifies when local declines fall out of synchrony with trends at larger spatial scales. Importantly, the framework provides signals that alert managers to the categorical significance of observed declines while avoiding signals where declines result from drivers operating at larger spatial scales (e.g., periodic reductions in primary productivity owing to drought). We demonstrate utility through application to a rapidly declining sagebrush (<i>Artemisia</i><span>&nbsp;</span>spp.) indicator species (greater sage-grouse;<span>&nbsp;</span><i>Centrocercus urophasianus</i>) using 30&nbsp;years (1990–2019) of count data collected from&nbsp;greater than&nbsp;4,400 leks (habitual breeding sites) distributed across the western United States. Results revealed population declines, immediately preceding triggers (2–4-year period), ranging between 58 and 68%. Conversely, population trends unassociated with triggers showed little-to-no sign of decline. Retrospective application of the monitoring framework indicated an average annual rate of 1.7% of leks or 1.3% of neighborhood clusters (lek aggregations) would have required management intervention to reverse range-wide declines and stabilize the U.S. population as a whole.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2023.110097","usgsCitation":"Prochazka, B.G., Coates, P.S., O’Donnell, M.S., Edmunds, D.R., Monroe, A., Ricca, M.A., Wann, G.T., Hanser, S.E., Wiechman, L.A., Doherty, K., Chenaille, M.P., and Aldridge, C.L., 2023, A targeted annual warning system developed for the conservation of a sagebrush indicator species: Ecological Indicators, v. 148, 110097, 13 p., https://doi.org/10.1016/j.ecolind.2023.110097.","productDescription":"110097, 13 p.","ipdsId":"IP-133976","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":444157,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2023.110097","text":"Publisher Index Page"},{"id":414692,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -102.3113073955999,\n              49.171952731253555\n            ],\n            [\n              -125.24089712758736,\n              49.171952731253555\n            ],\n            [\n              -125.24089712758736,\n              35.204204195605186\n            ],\n            [\n              -102.3113073955999,\n              35.204204195605186\n            ],\n            [\n              -102.3113073955999,\n              49.171952731253555\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"148","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Prochazka, Brian G. 0000-0001-7270-5550 bprochazka@usgs.gov","orcid":"https://orcid.org/0000-0001-7270-5550","contributorId":174839,"corporation":false,"usgs":true,"family":"Prochazka","given":"Brian","email":"bprochazka@usgs.gov","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":867469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":867470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Donnell, Michael S. 0000-0002-3488-003X odonnellm@usgs.gov","orcid":"https://orcid.org/0000-0002-3488-003X","contributorId":140876,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Michael","email":"odonnellm@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":867471,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edmunds, David R. 0000-0002-5212-8271 dedmunds@usgs.gov","orcid":"https://orcid.org/0000-0002-5212-8271","contributorId":152210,"corporation":false,"usgs":true,"family":"Edmunds","given":"David","email":"dedmunds@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":867472,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Monroe, Adrian P. 0000-0003-0934-8225 amonroe@usgs.gov","orcid":"https://orcid.org/0000-0003-0934-8225","contributorId":152209,"corporation":false,"usgs":true,"family":"Monroe","given":"Adrian P.","email":"amonroe@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":867473,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ricca, Mark A. 0000-0003-1576-513X mark_ricca@usgs.gov","orcid":"https://orcid.org/0000-0003-1576-513X","contributorId":139103,"corporation":false,"usgs":true,"family":"Ricca","given":"Mark","email":"mark_ricca@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":867474,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wann, Gregory T. 0000-0001-9076-7819 wanng@usgs.gov","orcid":"https://orcid.org/0000-0001-9076-7819","contributorId":3855,"corporation":false,"usgs":true,"family":"Wann","given":"Gregory","email":"wanng@usgs.gov","middleInitial":"T.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":867475,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hanser, Steve E. 0000-0002-4430-2073 shanser@usgs.gov","orcid":"https://orcid.org/0000-0002-4430-2073","contributorId":152523,"corporation":false,"usgs":true,"family":"Hanser","given":"Steve","email":"shanser@usgs.gov","middleInitial":"E.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"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":867476,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wiechman, Lief A. 0000-0002-3804-4426","orcid":"https://orcid.org/0000-0002-3804-4426","contributorId":184047,"corporation":false,"usgs":true,"family":"Wiechman","given":"Lief","email":"","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":867477,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Doherty, Kevin E.","contributorId":177793,"corporation":false,"usgs":false,"family":"Doherty","given":"Kevin E.","affiliations":[],"preferred":false,"id":867478,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Chenaille, Michael P. 0000-0003-3387-7899 mchenaille@usgs.gov","orcid":"https://orcid.org/0000-0003-3387-7899","contributorId":194661,"corporation":false,"usgs":true,"family":"Chenaille","given":"Michael","email":"mchenaille@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":867479,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":867480,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70242878,"text":"70242878 - 2023 - Stream restoration produces transitory, not permanent, changes to fish assemblages at compensatory mitigation sites","interactions":[],"lastModifiedDate":"2023-07-24T16:43:22.658419","indexId":"70242878","displayToPublicDate":"2023-03-20T06:46:26","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Stream restoration produces transitory, not permanent, changes to fish assemblages at compensatory mitigation sites","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>There is inconsistent evidence that stream restoration projects lead to recovery of ecosystem attributes, especially stream biota. While some assessments have documented desired changes in fish community metrics in the first years following restoration, longer-term studies have not always corroborated these findings. In this study, we used data and monitoring reports submitted to federal regulators by stream mitigation consultants to examine whether in-stream restoration activities led to changes in fish community attributes at 23 compensatory mitigation projects representing 53 sampling sites in Georgia, United States over 7 years of post-restoration monitoring. Modeling results indicated that abundance and species richness of fishes generally increased in the first years after restoration before decreasing to baseline levels by the seventh year. This pattern was consistent for models considering sensitive fish taxa, as well as at sites across a range of agricultural and forested land cover percentages. However, the effect of restoration on species richness was dampened in larger streams and at more urbanized locations. A community trajectory analysis supported the findings that fish community change was transitory at most sites. Remote estimation of canopy cover change at restoration sites suggested that the hump-shaped response may be driven by increased light availability during the immediate-post restoration period, followed by subsequent re-shading of stream channels by riparian plantings. Our analysis indicates that reach-level manipulation of streams should not be expected to induce long-term changes in fish communities, and that publicly available monitoring reports may be leveraged to address questions of stream restoration efficacy.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/rec.13903","usgsCitation":"Stowe, E.S., Petersen, K.N., Rao, S., Walther, E.J., Freeman, M., and Wenger, S., 2023, Stream restoration produces transitory, not permanent, changes to fish assemblages at compensatory mitigation sites: Restoration Ecology, v. 31, no. 5, e13903, 13 p., https://doi.org/10.1111/rec.13903.","productDescription":"e13903, 13 p.","ipdsId":"IP-147610","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":444160,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.13903","text":"Publisher Index Page"},{"id":419263,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-04-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Stowe, Edward S.","contributorId":273256,"corporation":false,"usgs":false,"family":"Stowe","given":"Edward","email":"","middleInitial":"S.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":870085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Petersen, Kelly N.","contributorId":261735,"corporation":false,"usgs":false,"family":"Petersen","given":"Kelly","email":"","middleInitial":"N.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":870086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rao, Shishir","contributorId":304287,"corporation":false,"usgs":false,"family":"Rao","given":"Shishir","email":"","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":870087,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walther, Eric J.","contributorId":304288,"corporation":false,"usgs":false,"family":"Walther","given":"Eric","email":"","middleInitial":"J.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":870088,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":870089,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wenger, Seth J.","contributorId":177838,"corporation":false,"usgs":false,"family":"Wenger","given":"Seth J.","affiliations":[],"preferred":false,"id":870090,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"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. 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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":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":867816,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70241473,"text":"70241473 - 2023 - Advances in transboundary aquifer assessment","interactions":[],"lastModifiedDate":"2023-03-21T11:40:46.551051","indexId":"70241473","displayToPublicDate":"2023-03-20T06:37:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Advances in transboundary aquifer assessment","docAbstract":"<div class=\"html-p\">This Special Issue is intended to highlight both recent work to advance the physical understanding of transboundary aquifers and factors relevant in successful collaboration on transboundary groundwater resource use. The collected papers address: (1) the identification and prioritization of the needs and strategies for sustainable groundwater development and use, along with the complexities introduced by working across borders with differing governance frameworks, institutions, cultures, and sometimes languages; (2) the characterization of the physical framework of the aquifer, stressors on the aquifer system, and how those stressors influence the availability of groundwater in terms of its quantity and quality; and (3) the incorporation of stakeholder input and prioritization directly into the process of aquifer assessment and model building. The papers provide insights into the state of knowledge regarding the physical characterization of important transboundary aquifers, primarily along the U.S.–Mexico border and the opportunities for greater stakeholder involvement in resource evaluation and prioritization. They point the way towards a future focus that combines both of these aspects of transboundary aquifer assessment for informing groundwater management discussions by policymakers.</div>","language":"English","publisher":"MDPI","doi":"10.3390/w15061208","usgsCitation":"Matherne, A., and Megdal, S.B., 2023, Advances in transboundary aquifer assessment: Water, v. 15, no. 6, 1208, 7 p., https://doi.org/10.3390/w15061208.","productDescription":"1208, 7 p.","ipdsId":"IP-146259","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":444167,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w15061208","text":"Publisher Index Page"},{"id":414421,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.36493471418689,\n              32.14383279973586\n            ],\n            [\n              -111.36493471418689,\n              30.417046183219966\n            ],\n            [\n              -104.51237611072469,\n              30.417046183219966\n            ],\n            [\n              -104.51237611072469,\n              32.14383279973586\n            ],\n            [\n              -111.36493471418689,\n              32.14383279973586\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -92.90934865911173,\n              48.94766903483233\n            ],\n            [\n              -92.90934865911173,\n              40.47995850135459\n            ],\n            [\n              -75.51439220417046,\n              40.47995850135459\n            ],\n            [\n              -75.51439220417046,\n              48.94766903483233\n            ],\n            [\n              -92.90934865911173,\n              48.94766903483233\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-03-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Matherne, Anne-Marie 0000-0002-5873-2226","orcid":"https://orcid.org/0000-0002-5873-2226","contributorId":32279,"corporation":false,"usgs":true,"family":"Matherne","given":"Anne-Marie","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Megdal, Sharon B.","contributorId":203874,"corporation":false,"usgs":false,"family":"Megdal","given":"Sharon","email":"","middleInitial":"B.","affiliations":[{"id":34969,"text":"University of Sonora","active":true,"usgs":false}],"preferred":false,"id":866958,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70240999,"text":"70240999 - 2023 - Aquatic vegetation types identified during early and late phases of vegetation recovery in the Upper Mississippi River","interactions":[],"lastModifiedDate":"2023-04-12T15:13:56.801546","indexId":"70240999","displayToPublicDate":"2023-03-19T10:13:19","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Aquatic vegetation types identified during early and late phases of vegetation recovery in the Upper Mississippi River","docAbstract":"<p><span>Assemblage patterns and processes of aquatic vegetation in most large floodplain rivers are not well understood, particularly after plant recovery. Identifying vegetation types, which are recurring plant groupings based on species composition, diversity, and abundances, can describe plant assembly patterns and environmental drivers that aid conservation planning and management. We used a 22-year dataset (</span><i>n</i><span> = 18,000 sampling plots) to identify aquatic vegetation types during an “early phase” and “late phase” of plant recovery at multiple spatial scales nested within a 500-km river reach of the Upper Mississippi River, USA. We hypothesized that vegetation types varied according to scale because of the stark environmental differences among riverine habitats and differing regional species pools along the river's latitudinal gradient, and that the late phase of recovery had developed several new vegetation types. We first used cluster analyses at multiple spatiotemporal scales to identify the number of vegetation types and their characteristics, such as indicator species, species compositions and abundances, and diversity index. Then we applied a multivariate regression to pinpoint environmental factors (such as hydrodynamics, system productivity, local habitat, and water quality) that structured those vegetation types. Clustering revealed that ~90% of plots irrespective of recovery phase were not classified into vegetation types, which indicated that most aquatic sampling plots are unique in species composition and unpredictable. However, impounded areas upriver from dams had matured five vegetation types: lotus (</span><i>Nelumbo lutea</i><span>&nbsp;Willd.), submersed (a mix of 11 common submersed species), watercelery (</span><i>Vallisneria americana</i><span>&nbsp;Michx.), arrowheads (</span><i>Sagittaria rigida</i><span>&nbsp;Pursh and&nbsp;</span><i>Sagittaria latifolia</i><span>&nbsp;Willd.), and a diverse community (with high diversity indices and multiple life forms). The vegetation types were associated with three environmental gradients related to inundation depth and duration, system productivity, and water clarity. These five vegetation types are known to be of high ecological value to fish and wildlife and thus targets for restoration, for example, the watercelery community is principal forage for migrating canvasback ducks (</span><i>Aythya valisineria</i><span>) along the Mississippi River flyway. Our results provide insights on vegetation assembly during recovery and aid habitat conservation by providing quantitative, environmental targets for restoration.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.4468","usgsCitation":"Larson, D.M., Carhart, A., and Lund, E., 2023, Aquatic vegetation types identified during early and late phases of vegetation recovery in the Upper Mississippi River: Ecosphere, v. 14, no. 3, e4468, 20 p., https://doi.org/10.1002/ecs2.4468.","productDescription":"e4468, 20 p.","ipdsId":"IP-131066","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":444170,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4468","text":"Publisher Index Page"},{"id":415663,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Wisconsin","otherGeospatial":"Upper Mississippi River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -90.10976435882736,\n              41.60685944282207\n            ],\n            [\n              -89.99975982612516,\n              42.224983847864536\n            ],\n            [\n              -90.81533578734795,\n              43.0853039521503\n            ],\n            [\n              -91.17295281697338,\n              44.10941290093686\n            ],\n            [\n              -92.4919662081708,\n              44.74832598668567\n            ],\n            [\n              -92.97405022349875,\n              45.04742613671087\n            ],\n            [\n              -93.13038965400605,\n              44.71333048187006\n            ],\n            [\n              -91.91569538208077,\n              44.03813254031178\n            ],\n            [\n              -91.35537860580692,\n              43.326638741150475\n            ],\n            [\n              -91.34212433361859,\n              42.710247775085435\n            ],\n            [\n              -90.44333088312968,\n              42.162313420549964\n            ],\n            [\n              -90.79716133996195,\n              41.5831628575645\n            ],\n            [\n              -90.10976435882736,\n              41.60685944282207\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"14","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Larson, Danelle M. 0000-0001-6349-6267","orcid":"https://orcid.org/0000-0001-6349-6267","contributorId":228838,"corporation":false,"usgs":true,"family":"Larson","given":"Danelle","email":"","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":865662,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carhart, Alicia 0000-0002-9977-8124","orcid":"https://orcid.org/0000-0002-9977-8124","contributorId":223884,"corporation":false,"usgs":false,"family":"Carhart","given":"Alicia","email":"","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":865663,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lund, Eric","contributorId":221777,"corporation":false,"usgs":false,"family":"Lund","given":"Eric","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":865664,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70248233,"text":"70248233 - 2023 - Assessing potential effects of climate change on highway-runoff flows and loads in southern New England by using planning-level space-for-time analyses","interactions":[],"lastModifiedDate":"2023-09-05T12:11:07.324945","indexId":"70248233","displayToPublicDate":"2023-03-19T07:06:24","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16697,"text":"Transportation Research Record, Journal of the Transportation Research Board.","active":true,"publicationSubtype":{"id":10}},"title":"Assessing potential effects of climate change on highway-runoff flows and loads in southern New England by using planning-level space-for-time analyses","docAbstract":"<div id=\"abstracts\" data-extent=\"frontmatter\"><div class=\"core-container\"><div>Transportation agencies need information about the potential effects of climate change on the volume, quality, and treatment of stormwater to mitigate potential effects of runoff on receiving waters. To address these concerns, the U.S. Geological Survey and the Federal Highway Administration used the Coupled Model Intercomparison Project tool and the Stochastic Empirical Loading and Dilution Model to perform space-for-time stormwater quality analyses. This study indicated that spatial variations in precipitation statistics within and adjacent to southern New England are greater than projected climate-related changes for the centroid of this region. A dilution-factor analysis indicated that highway runoff would become a greater proportion of downstream flows if average event volumes or time between event midpoints increase and would become a smaller proportion of downstream flows if event durations increase. Highway-runoff yield analyses for total phosphorus (TP) indicate that uncertainty in water quality statistics results in variations in long-term average yields from about 1.69 to 7.96 times higher than the lowest TP values simulated. In comparison, variations in precipitation statistics cause yield variations that ranged from 1.41 to 1.76 for the different simulated concentrations. An analysis of stormwater treatment indicated that uncertainties in runoff treatment variables are also larger than the magnitude of climate variations. This study does not question the potentially large climate-related changes in hydrologic and hydraulic variables expected to occur in the foreseeable future. It does indicate that uncertainties in the current data and potential effects of land use change on stormwater quality and treatment variables are larger than the projected effects of climate change.</div></div></div>","language":"English","publisher":"Sage","doi":"10.1177/03611981231155183","usgsCitation":"Jeznach, L.C., Granato, G., Sharar-Salgado, D., Jones, S.C., and Imig, D., 2023, Assessing potential effects of climate change on highway-runoff flows and loads in southern New England by using planning-level space-for-time analyses: Transportation Research Record, Journal of the Transportation Research Board., v. 2677, no. 7, p. 570-581, https://doi.org/10.1177/03611981231155183.","productDescription":"12 p.","startPage":"570","endPage":"581","ipdsId":"IP-143447","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":444172,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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 \"}}]}","volume":"2677","issue":"7","noUsgsAuthors":false,"publicationDate":"2023-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Jeznach, Lillian C. 0000-0002-5476-9232","orcid":"https://orcid.org/0000-0002-5476-9232","contributorId":297153,"corporation":false,"usgs":true,"family":"Jeznach","given":"Lillian","email":"","middleInitial":"C.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":882052,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granato, Gregory E. 0000-0002-2561-9913","orcid":"https://orcid.org/0000-0002-2561-9913","contributorId":203250,"corporation":false,"usgs":true,"family":"Granato","given":"Gregory E.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":882053,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sharar-Salgado, Daniel 0000-0001-7251-1537","orcid":"https://orcid.org/0000-0001-7251-1537","contributorId":305388,"corporation":false,"usgs":false,"family":"Sharar-Salgado","given":"Daniel","email":"","affiliations":[{"id":54843,"text":"Federal Highway Administration","active":true,"usgs":false}],"preferred":false,"id":882054,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Susan C. 0000-0002-5891-5209","orcid":"https://orcid.org/0000-0002-5891-5209","contributorId":64716,"corporation":false,"usgs":false,"family":"Jones","given":"Susan","email":"","middleInitial":"C.","affiliations":[{"id":34302,"text":"Federal Highway Administration (United States)","active":true,"usgs":false}],"preferred":false,"id":882055,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Imig, Daniel 0000-0002-5099-1266","orcid":"https://orcid.org/0000-0002-5099-1266","contributorId":329356,"corporation":false,"usgs":false,"family":"Imig","given":"Daniel","email":"","affiliations":[{"id":78575,"text":"Connecticut Department of Transportation","active":true,"usgs":false}],"preferred":false,"id":882056,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70242120,"text":"70242120 - 2023 - Climate change mitigation potential of Louisiana's coastal area: Current estimates and future projections","interactions":[],"lastModifiedDate":"2023-07-26T16:16:17.770228","indexId":"70242120","displayToPublicDate":"2023-03-18T08:41:49","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Climate change mitigation potential of Louisiana's coastal area: Current estimates and future projections","docAbstract":"<p><span>Coastal habitats can play an important role in climate change mitigation. As Louisiana implements its climate action plan and the restoration and risk-reduction projects outlined in its 2017 Louisiana Coastal Master Plan, it is critical to consider potential greenhouse gas (GHG) fluxes in coastal habitats. This study estimated the potential climate mitigation role of existing, converted, and restored coastal habitats for years 2005, 2020, 2025, 2030, and 2050, which align with the Governor of Louisiana's GHG reduction targets. An analytical framework was developed that considered (1) available scientific data on net ecosystem carbon balance fluxes per habitat and (2) habitat areas projected from modeling efforts used for the 2017 Louisiana Coastal Master Plan to estimate the net GHG flux of coastal area. The coastal area was estimated as net GHG sinks of −38.4 ± 10.6 and −43.2 ± 12.0 Tg CO</span><sub>2</sub><span>&nbsp;equivalents (CO</span><sub>2</sub><span>e) in 2005 and 2020, respectively. The coastal area was projected to remain a net GHG sink in 2025 and 2030, both with and without the implementation of Coastal Master Plan projects (means ranged from −25.3 to −34.2 Tg CO</span><sub>2</sub><span>e). By 2050, with model-projected wetland loss and conversion of coastal habitats to open water due to coastal erosion and relative sea level rise, Louisiana's coastal area was projected to become a net source of GHG emissions both with and without the Coastal Master Plan projects. However, in the year 2050, the Louisiana Coastal Master Plan project implementation was projected to avoid the release of +8.8 ± 1.3 Tg CO</span><sub>2</sub><span>e compared with an alternative with no action. Reduction in current and future stressors to coastal habitats, including impacts from sea level rise, as well as the implementation of restoration projects could help to ensure coastal areas remain a natural climate solution.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2847","usgsCitation":"Baustian, M.M., Liu, B., Moss, L.C., Dausman, A., and Pahl, J.W., 2023, Climate change mitigation potential of Louisiana's coastal area: Current estimates and future projections: Ecological Applications, v. 23, no. 4, e2847, 22 p.; Data Release, https://doi.org/10.1002/eap.2847.","productDescription":"e2847, 22 p.; Data Release","ipdsId":"IP-147080","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":444174,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.2847","text":"Publisher Index Page"},{"id":415413,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":419359,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94Z2MZV","text":"A subset of 2017 Louisiana Coastal Master Plan model output to estimate climate change mitigation potential of Louisiana’s coastal area"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -93.59801925944635,\n              30.689846184930914\n            ],\n            [\n              -93.59801925944635,\n              28.629249419941743\n            ],\n            [\n              -89.0431895005861,\n              28.629249419941743\n            ],\n            [\n              -89.0431895005861,\n              30.689846184930914\n            ],\n            [\n              -93.59801925944635,\n              30.689846184930914\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"23","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-04-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Baustian, Melissa Millman 0000-0003-2467-2533","orcid":"https://orcid.org/0000-0003-2467-2533","contributorId":304015,"corporation":false,"usgs":true,"family":"Baustian","given":"Melissa","email":"","middleInitial":"Millman","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":868936,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Bingqing","contributorId":304014,"corporation":false,"usgs":false,"family":"Liu","given":"Bingqing","email":"","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":868937,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moss, Leland C.","contributorId":272644,"corporation":false,"usgs":false,"family":"Moss","given":"Leland","email":"","middleInitial":"C.","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":868938,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dausman, Alyssa","contributorId":223766,"corporation":false,"usgs":false,"family":"Dausman","given":"Alyssa","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":868939,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pahl, James W.","contributorId":304017,"corporation":false,"usgs":false,"family":"Pahl","given":"James","email":"","middleInitial":"W.","affiliations":[{"id":40763,"text":"Coastal Protection and Restoration Authority","active":true,"usgs":false}],"preferred":false,"id":868940,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"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":70243534,"text":"70243534 - 2023 - Uses of epistemic uncertainties in the USGS National Seismic Hazard Models","interactions":[],"lastModifiedDate":"2023-05-16T18:21:23.693721","indexId":"70243534","displayToPublicDate":"2023-03-18T06:34:47","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Uses of epistemic uncertainties in the USGS National Seismic Hazard Models","docAbstract":"<div id=\"abstracts\" data-extent=\"frontmatter\"><div class=\"core-container\"><div>The need for US Geological Survey (USGS) National Seismic Hazard Models (NSHMs) to report estimates of epistemic uncertainties in the hazard (e.g. fractile hazard curves) in all forthcoming releases is increasing. With fractile hazard curves as potential new outputs from the USGS 2023 NSHM, a simultaneous need is to help end-users better understand these epistemic uncertainties and clarify their potential uses. In this article, we address the latter need by (1) characterizing epistemic uncertainties in two updates of the USGS NSHM (2014 for California and 2021 for Hawaii), (2) illustrating a variety of downstream applications of fractile hazard curves in both hazard and risk contexts, and (3) discussing implications from the various types of uncertainties. We found that the epistemic uncertainty in hazard is generally larger for Hawaii than for California, the epistemic uncertainty in hazard can be reasonably approximated with a lognormal distribution for most of the cases considered, and the correlation between epistemic uncertainty in hazard at two different intensity measure levels generally varies with both location and type of intensity measure. Furthermore, we developed models for readily generating approximate fractile hazard curves in California and Hawaii. Finally, given the complexities involved in the hazard modeling process, we developed an open-source interactive tool to enable a broad range of users to independently examine and potentially start using such epistemic uncertainties for their respective applications.</div></div></div>","language":"English","publisher":"Earthquake Engineering Research Institute","doi":"10.1177/87552930231157424","usgsCitation":"Kwong, N.S., and Jaiswal, K.S., 2023, Uses of epistemic uncertainties in the USGS National Seismic Hazard Models: Earthquake Spectra, v. 39, no. 2, p. 1058-1087, https://doi.org/10.1177/87552930231157424.","productDescription":"30 p.","startPage":"1058","endPage":"1087","ipdsId":"IP-146101","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":490039,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1177/87552930231157424","text":"Publisher Index Page"},{"id":416950,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417104,"rank":2,"type":{"id":35,"text":"Software Release"},"url":"https://doi.org/10.5066/P9N5QTIN","linkFileType":{"id":5,"text":"html"}}],"volume":"39","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-03-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Kwong, N. Simon 0000-0003-3017-9585","orcid":"https://orcid.org/0000-0003-3017-9585","contributorId":241863,"corporation":false,"usgs":true,"family":"Kwong","given":"N.","email":"","middleInitial":"Simon","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":872250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jaiswal, Kishor S. 0000-0002-5803-8007 kjaiswal@usgs.gov","orcid":"https://orcid.org/0000-0002-5803-8007","contributorId":149796,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":872251,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70241101,"text":"sir20235017 - 2023 - Per- and polyfluoroalkyl substances in groundwater from the Great Miami buried-valley aquifer, southwestern Ohio, 2019–20","interactions":[],"lastModifiedDate":"2026-03-02T22:05:38.701036","indexId":"sir20235017","displayToPublicDate":"2023-03-17T12:59:48","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5017","displayTitle":"Per- and Polyfluoroalkyl Substances in Groundwater from the Great Miami Buried-Valley Aquifer, Southwestern Ohio, 2019–20","title":"Per- and polyfluoroalkyl substances in groundwater from the Great Miami buried-valley aquifer, southwestern Ohio, 2019–20","docAbstract":"<p>Groundwater samples were collected during 2019 and 2020 from 23 wells in the Great Miami buried-valley aquifer (GM-BVA) in southwestern Ohio by the U.S. Geological Survey, in cooperation with the Miami Conservancy District, Dayton, Ohio, to determine concentrations of selected per- and polyfluoroalkyl substances (PFAS). The GM-BVA is a glacial outwash and alluvial fill aquifer that is the sole source of water supply for much of the region. Wells had total depths that ranged from 21 to 101 feet below land surface, and groundwater levels that ranged from 1.39 to 52.15 feet below land surface before sampling in 2019.</p><p>Groundwater and related quality-control samples were sequentially collected from 22 of the 23 wells and analyzed for 24 different PFAS by 2 methods that used proprietary isotope-dilution based adaptations of U.S. Environmental Protection Agency (EPA) method 537.1, termed methods 1 and 2. Method 2 had smaller reporting limits (RL) for 22 of 24 PFAS analyzed and smaller detection limits (DLs) for all 24 PFAS analyzed compared with method 1, which made method 2 more sensitive to detect PFAS.</p><p>Concentrations of perfluorooctanesulfonate (PFOS) in a groundwater (GW)-method 2 sample from well CL–275 of 1.9 nanograms per liter (ng/L) and perfluorooctanoate (PFOA) in a GW-method 2 sample from well BU–1106 of 2.1 ng/L were greater than their EPA interim health advisory guidances for drinking water (as of June 2022) by about 9,500 and 52,500 percent, respectively. The EPA interim health advisory guidances for PFOS (0.02 ng/L) and PFOA (0.004 ng/L) were also 65 and 215 times less, respectively, than the smallest method 2 DLs for PFOS (1.3 ng/L) and PFOA (0.86 ng/L).</p><p>Other PFAS were either not detected in GM-BVA groundwater samples or were detected in concentrations less than Ohio action levels or Federal health-risk-based guidance. The most detected PFAS in groundwater was perfluorobutanesulfonate (PFBS), which had concentrations in samples from eight wells that ranged from 1.0 to 8.0 ng/L or from 0.05 to 0.4 percent of its EPA health advisory of 2,000 ng/L for drinking water.</p><p>The similarity of PFBS (7.8 ng/L), perfluoropentanesulfonate (PFPeS; 8.1 ng/L), and perfluorohexanesulfonate (PFHxS; 14 ng/L) concentrations yielded from the GW-method 1 sample from well CL–275 on July 9, 2019, to those of PFBS (8.0 ng/L), PFPeS (7.8 ng/L), and PFHxS (16 ng/L) from the paired GW-method 2 sample demonstrated the capability of both methods to reproduce PFAS concentrations that were greater than their respective DLs. Non-detection of these PFAS in follow-up GW-method 1 and sequential replicate (Rep–GW-method 1) samples from CL–275 on April 21, 2020, indicated that the 2019 results represented a transient detection in groundwater.</p><p>Eleven of twenty-three wells sampled in 2019 had from 1 to 4 PFAS detected in one or more groundwater samples or in a paired replicate sample: PFBS in 8 wells and 9 samples; PFHxS in 4 wells and 5 samples; and PFPeS, PFOS, perfluorobutanoate, perfluoropentanoate, PFOA, and perfluorooctanesulfonamide in 1 well and 1 sample each. More PFAS were detected in GW-method 2 samples than GW-method 1 samples because method 2 had smaller RLs and DLs. Results indicate benefits from the analysis of paired samples, sequential replicate samples, and other quality-control samples using analytical methods with sensitive RLs and DLs to verify PFAS concentrations in groundwater.</p><p>Groundwater-age estimates indicate that water produced from all sampled wells had infiltrated to the water table within the 1947–present (2022) period of PFAS use or environmental presence. Eight wells with detectable PFBS in groundwater from 2019 samples also had groundwater-recharge dates that ranged from 1991 to 2016. Those ages coincided with the possible environmental presence of PFBS as a PFAS byproduct or use as an alternative to PFOS after about 2002. Two wells that had detections of PFHxS in 2019 groundwater samples also had post-2000 groundwater-recharge dates that coincided with the period of use of PFHxS as an alternative to PFOS. Six of nine wells with more than 66-percent of urban land use that was within 0.3 miles of each well, as of 2012, also had 1 to 4 PFAS detected in one of their groundwater samples. Seven of nine wells that produced groundwater in 2019 with an oxic redox category also had one or more PFAS detected in a sample.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235017","collaboration":"Prepared in cooperation with Miami Conservancy District","usgsCitation":"Buszka, P.M., Mailot, B.E., and Mathes, N.A., 2023, Per- and polyfluoroalkyl substances in groundwater from the Great Miami buried-valley aquifer, southwestern Ohio, 2019–20: U.S. Geological Survey Scientific Investigations Report 2023–5017, 71 p., https://doi.org/10.3133/sir20235017.","productDescription":"Report: x, 71 p.; Data Release","numberOfPages":"71","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-119136","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":413923,"rank":6,"type":{"id":30,"text":"Data 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       \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/oki-water\" data-mce-href=\"https://www.usgs.gov/centers/oki-water\">Ohio-Kentucky-Indiana Water Science Center</a><br>U.S. Geological Survey<br>5957 Lakeside Boulevard<br>Indianapolis, IN 46278-1996</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods of Study</li><li>Per- and Polyfluoroalkyl Substances (PFAS) in Groundwater</li><li>Summary and Conclusions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2023-03-17","noUsgsAuthors":false,"publicationDate":"2023-03-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Buszka, Paul M. 0000-0001-8218-826X pmbuszka@usgs.gov","orcid":"https://orcid.org/0000-0001-8218-826X","contributorId":1786,"corporation":false,"usgs":true,"family":"Buszka","given":"Paul","email":"pmbuszka@usgs.gov","middleInitial":"M.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866083,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mailot, Brian E. 0000-0003-1602-7999 bemailot@usgs.gov","orcid":"https://orcid.org/0000-0003-1602-7999","contributorId":302979,"corporation":false,"usgs":true,"family":"Mailot","given":"Brian","email":"bemailot@usgs.gov","middleInitial":"E.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866084,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mathes, Neal A. 0000-0002-0642-0407","orcid":"https://orcid.org/0000-0002-0642-0407","contributorId":302980,"corporation":false,"usgs":true,"family":"Mathes","given":"Neal","email":"","middleInitial":"A.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866085,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70252795,"text":"70252795 - 2023 - An assessment of the relation between metal contaminated sediment and freshwater mussel populations in the Big River, Missouri","interactions":[],"lastModifiedDate":"2024-04-05T15:34:21.606254","indexId":"70252795","displayToPublicDate":"2023-03-17T10:32:41","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"An assessment of the relation between metal contaminated sediment and freshwater mussel populations in the Big River, Missouri","docAbstract":"<p><span>The Big River in southeast Missouri drains the largest historical lead mining area in the United States. Ongoing releases of metal contaminated sediments into this river are well documented and are suspected of suppressing freshwater mussel populations. We characterized the spatial extent of metal contaminated sediments and evaluated its relationship with mussel populations in the Big River. Mussels and sediments were collected at 34 sites with potential metal effects and 3 reference sites. Analysis of sediment samples showed that lead (Pb) and zinc (Zn) concentrations were 1.5 to 65 times greater than background concentrations in the reach extending 168&nbsp;km downstream from Pb mining releases. Mussel abundance decreased acutely downstream from these releases where sediment Pb concentrations were highest and increased gradually as Pb sediment concentrations attenuated downstream. We compared current species richness with historical survey data from three reference rivers with similar physical habitat characteristics and human effects, but without Pb-contaminated sediment. Big River species richness was on average about one-half that expected based on reference stream populations and was 70–75&nbsp;% lower in reaches with high median Pb concentrations. Sediment Zn and cadmium, and particularly Pb, had significant negative correlations with species richness and abundance. The association of sediment Pb concentrations with mussel community metrics in otherwise high-quality habitat indicates that Pb toxicity is likely responsible for depressed mussel populations observed within the Big River. We used concentration-response regressions of mussel density verses sediment Pb to determine that the Big River mussel community is adversely affected when sediment Pb concentrations are above 166&nbsp;ppm, the concentration associated with 50&nbsp;% decreases in mussel density. Based on this assessment of metals concentrations sediment and mussel fauna, our findings indicate that sediment in approximately 140&nbsp;km of the Big River with suitable habitat has a toxic effect to mussels.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2023.162743","usgsCitation":"Roberts, A.D., Besser, J.M., Hundley, J., Mosby, D., Rosenberger, A.E., Bouska, K.L., Simmons, B., McMurray, S.E., Faiman, S., and Lueckenhoff, L., 2023, An assessment of the relation between metal contaminated sediment and freshwater mussel populations in the Big River, Missouri: Science of the Total Environment, v. 876, 162743, 15 p., https://doi.org/10.1016/j.scitotenv.2023.162743.","productDescription":"162743, 15 p.","ipdsId":"IP-138980","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":427520,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"Big River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -90.22364511337068,\n              38.57772207145226\n            ],\n            [\n              -91.4690104795392,\n              38.57772207145226\n            ],\n            [\n              -91.4690104795392,\n              37.97217349400049\n            ],\n            [\n              -90.22364511337068,\n              37.97217349400049\n            ],\n            [\n              -90.22364511337068,\n              38.57772207145226\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    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Josh","contributorId":335387,"corporation":false,"usgs":false,"family":"Hundley","given":"Josh","email":"","affiliations":[{"id":68344,"text":"U.S. Fish and Wildlife Service (USFWS)","active":true,"usgs":false}],"preferred":false,"id":898246,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mosby, Dave","contributorId":335388,"corporation":false,"usgs":false,"family":"Mosby","given":"Dave","email":"","affiliations":[{"id":68344,"text":"U.S. Fish and Wildlife Service (USFWS)","active":true,"usgs":false}],"preferred":false,"id":898247,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":898248,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bouska, Kristen L. 0000-0002-4115-2313 kbouska@usgs.gov","orcid":"https://orcid.org/0000-0002-4115-2313","contributorId":178005,"corporation":false,"usgs":true,"family":"Bouska","given":"Kristen","email":"kbouska@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":898249,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Simmons, Bryan","contributorId":335391,"corporation":false,"usgs":false,"family":"Simmons","given":"Bryan","email":"","affiliations":[{"id":68344,"text":"U.S. Fish and Wildlife Service (USFWS)","active":true,"usgs":false}],"preferred":false,"id":898250,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McMurray, Stephen 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,{"id":70241478,"text":"70241478 - 2023 - Quantifying stream-loss recovery in a spring using dual-tracer injections in the Snake Creek drainage, Great Basin National Park, Nevada, USA","interactions":[],"lastModifiedDate":"2023-07-11T15:55:41.142007","indexId":"70241478","displayToPublicDate":"2023-03-17T08:43:35","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying stream-loss recovery in a spring using dual-tracer injections in the Snake Creek drainage, Great Basin National Park, Nevada, USA","docAbstract":"<p><span>Simultaneous short-pulse injections of two tracers (sodium bromide [Br</span><sup>–</sup><span>] and fluorescein dye) were made in a losing reach of Snake Creek in Great Basin National Park, Nevada, USA, to evaluate the quantity of stream loss through permeable carbonates that resurfaces at a spring approximately 10&nbsp;km down drainage. A revised hydrogeologic cross section for a possible flow path of the infiltrated Snake Creek water is presented, and the results may inform water management in the region. First arrival and peak concentration of the two tracers occurred at 9.5 and 12.7 days after injection, respectively. Fracture transport simulations indicate that Br</span><sup>–</sup><span>&nbsp;preferentially diffuses into immobile regions of the aquifer, and this diffusive flux is likely responsible for the major differences in the breakthrough curves. When considering the diffusive tracer flux, total apparent Br</span><sup>–</sup><span>&nbsp;and fluorescein dye recoveries were 16.9–22.1% and 21.7–24.3%, respectively. These findings imply that consideration of diffusive flux and long-term monitoring in fracture-dominated flow may support accurate quantification of tracer recovery. In addition, the apparent power law slopes of the breakthrough tails for both tracers were steeper at early times than have been attributed to heterogeneous advection or channeling in meter-scale tests, but the late-time Br</span><sup>–</sup><span>&nbsp;power law slope becomes less steep than has been attributed to diffusive exchange. These deviations may reflect fracture transport patterns that occur at larger scales.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10040-023-02619-4","usgsCitation":"Humphrey, C., Gardner, P.M., Spangler, L.E., Nelson, N.C., Toran, L., and Solomon, D.K., 2023, Quantifying stream-loss recovery in a spring using dual-tracer injections in the Snake Creek drainage, Great Basin National Park, Nevada, USA: Hydrogeology Journal, v. 31, p. 1051-1066, https://doi.org/10.1007/s10040-023-02619-4.","productDescription":"16 p.","startPage":"1051","endPage":"1066","ipdsId":"IP-130571","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":444184,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1007/s10040-023-02619-4","text":"Publisher Index Page"},{"id":435409,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93GAZX5","text":"USGS data release","linkHelpText":"Data from two tracer investigations in the Snake Creek drainage, Great Basin National Park, White Pine County, Nevada"},{"id":414433,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Great Basin National Park, Snake Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.3,\n              38.9583\n            ],\n            [\n              -114.3,\n              38.9\n            ],\n            [\n              -114.033,\n              38.9\n            ],\n            [\n              -114.033,\n              38.9583\n            ],\n            [\n              -114.3,\n              38.9583\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"31","noUsgsAuthors":false,"publicationDate":"2023-03-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Humphrey, C. Eric 0000-0002-1174-8458","orcid":"https://orcid.org/0000-0002-1174-8458","contributorId":303277,"corporation":false,"usgs":false,"family":"Humphrey","given":"C. Eric","affiliations":[{"id":65744,"text":"University of Utah, Dept. of Geology & Geophysics","active":true,"usgs":false}],"preferred":false,"id":866978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gardner, Philip M. 0000-0003-3005-3587 pgardner@usgs.gov","orcid":"https://orcid.org/0000-0003-3005-3587","contributorId":962,"corporation":false,"usgs":true,"family":"Gardner","given":"Philip","email":"pgardner@usgs.gov","middleInitial":"M.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spangler, Lawrence E. 0000-0003-3928-8809 spangler@usgs.gov","orcid":"https://orcid.org/0000-0003-3928-8809","contributorId":973,"corporation":false,"usgs":true,"family":"Spangler","given":"Lawrence","email":"spangler@usgs.gov","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866980,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, Nora C. 0000-0001-8248-2004","orcid":"https://orcid.org/0000-0001-8248-2004","contributorId":207229,"corporation":false,"usgs":true,"family":"Nelson","given":"Nora","email":"","middleInitial":"C.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866981,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Toran, Laura","contributorId":81622,"corporation":false,"usgs":false,"family":"Toran","given":"Laura","email":"","affiliations":[{"id":34225,"text":"Temple University, Philadelphia, Pa.","active":true,"usgs":false}],"preferred":false,"id":866982,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Solomon, D. Kip","contributorId":201955,"corporation":false,"usgs":false,"family":"Solomon","given":"D.","email":"","middleInitial":"Kip","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":866983,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70241820,"text":"70241820 - 2023 - Living with wildfire in Park County, Colorado 2021 data report","interactions":[],"lastModifiedDate":"2023-03-28T12:05:16.612644","indexId":"70241820","displayToPublicDate":"2023-03-17T07:03:20","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Living with wildfire in Park County, Colorado 2021 data report","docAbstract":"<p><span>Wildfire affects many types of communities and is a particular concern for communities in the wildland urban interface (WUI), such as those of Park County, Colorado. The core intent of this project was to provide evidence to support the Platte Canyon Fire Protection District (PCFPD) and Fire Adapted Bailey in their wildfire mitigation and education programming. This report describes wildfire risk data collected in fall 2020 and pairs it with social data collected in the fall and winter of 2020-2021, in order to better understand residents’ knowledge, experiences, and perceptions about wildfire risk in the communities of the Burland Ranchettes Homeowners Association (HOA) area and surrounding neighborhoods. This greater understanding will help PCFPD focus its programs and outreach and ultimately promote increased mitigation and reduced wildfire risk in Park County.</span></p>","language":"English","publisher":"USDA Forest Service","doi":"10.2737/RMRS-RN-97","collaboration":"USDA Forest Service; University of Colorado Boulder; West Region Wildfire Council; US Bureau of Land Management; Wildfire Research Center","usgsCitation":"Brenkert-Smith, H., Champ, P.A., McConnell, A.E., Gomez, J., Barth, C.M., Meldrum, J., Donovan, C., Wagner, C., and Goolsby, J., 2023, Living with wildfire in Park County, Colorado 2021 data report, 94 p., https://doi.org/10.2737/RMRS-RN-97.","productDescription":"94 p.","ipdsId":"IP-144419","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":444186,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2737/rmrs-rn-97","text":"Publisher Index Page"},{"id":414812,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","county":"Park 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Hannah 0000-0001-6117-8863","orcid":"https://orcid.org/0000-0001-6117-8863","contributorId":195485,"corporation":false,"usgs":false,"family":"Brenkert-Smith","given":"Hannah","email":"","affiliations":[],"preferred":false,"id":867826,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Champ, Patricia A.","contributorId":195486,"corporation":false,"usgs":false,"family":"Champ","given":"Patricia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":867827,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McConnell, Abby Elizabeth 0000-0003-3515-1581","orcid":"https://orcid.org/0000-0003-3515-1581","contributorId":280426,"corporation":false,"usgs":true,"family":"McConnell","given":"Abby","email":"","middleInitial":"Elizabeth","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":867828,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gomez, 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Colleen","contributorId":240586,"corporation":false,"usgs":false,"family":"Donovan","given":"Colleen","email":"","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":867832,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wagner, Carolyn","contributorId":240587,"corporation":false,"usgs":false,"family":"Wagner","given":"Carolyn","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":867833,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Goolsby, Julia 0000-0002-2229-5685","orcid":"https://orcid.org/0000-0002-2229-5685","contributorId":295471,"corporation":false,"usgs":false,"family":"Goolsby","given":"Julia","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":867834,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70241609,"text":"70241609 - 2023 - Fault roughness at seismogenic depths and links to earthquake behavior","interactions":[],"lastModifiedDate":"2023-03-24T12:01:22.059966","indexId":"70241609","displayToPublicDate":"2023-03-17T06:59:26","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10542,"text":"The Seismic Record","active":true,"publicationSubtype":{"id":10}},"title":"Fault roughness at seismogenic depths and links to earthquake behavior","docAbstract":"<div id=\"136061530\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>Fault geometry affects the initiation, propagation, and cessation of earthquake rupture, as well as, potentially, the statistical behavior of earthquake sequences. We analyze 18,250 (−0.27 &lt;<span>&nbsp;</span><i>M</i><span>&nbsp;</span>&lt; 4.4) earthquakes of the 2016–2019 Cahuilla, California, swarm and, for the first time, use these high‐resolution earthquake locations to map, in detail, the roughness across an active fault surface at depth. We find that the strike‐slip fault is 50% rougher in the slip‐perpendicular direction than parallel to slip. 3D mapping of fault roughness at seismogenic depths suggests that roughness varies by a factor of 8 for length scales of 1&nbsp;km. We observe that the largest earthquake (<i>M</i>&nbsp;4.4) occurred where there is significant fault complexity and the highest measured roughness. We also find that<span>&nbsp;</span><i>b</i>‐values are weakly positively correlated with fault roughness. Following the largest earthquake, we observe a distinct population of earthquakes with comparatively low<span>&nbsp;</span><i>b</i>‐values occurring in an area of high roughness within the rupture area of the<span>&nbsp;</span><i>M</i>&nbsp;4.4 earthquake. Finally, we measure roughness at multiple scales and find that the fault is self‐affine with a Hurst exponent of 0.52, consistent with a Brownian surface.</p></div>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0320220043","usgsCitation":"Cochran, E.S., Page, M.T., van der Elst, N., Ross, Z.E., and Trugman, D.T., 2023, Fault roughness at seismogenic depths and links to earthquake behavior: The Seismic Record, v. 3, no. 1, p. 37-47, https://doi.org/10.1785/0320220043.","productDescription":"10 p.","startPage":"37","endPage":"47","ipdsId":"IP-147560","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":444188,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0320220043","text":"Publisher Index Page"},{"id":414691,"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              -118.17641781318886,\n              34.53155441621385\n            ],\n            [\n              -118.17641781318886,\n              33.29215093390583\n            ],\n            [\n              -115.91420733196797,\n              33.29215093390583\n            ],\n            [\n              -115.91420733196797,\n              34.53155441621385\n            ],\n            [\n              -118.17641781318886,\n              34.53155441621385\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"3","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-03-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":867481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Page, Morgan T. 0000-0001-9321-2990 mpage@usgs.gov","orcid":"https://orcid.org/0000-0001-9321-2990","contributorId":3762,"corporation":false,"usgs":true,"family":"Page","given":"Morgan","email":"mpage@usgs.gov","middleInitial":"T.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":867482,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van der Elst, Nicholas 0000-0002-3812-1153 nvanderelst@usgs.gov","orcid":"https://orcid.org/0000-0002-3812-1153","contributorId":147858,"corporation":false,"usgs":true,"family":"van der Elst","given":"Nicholas","email":"nvanderelst@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":867483,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ross, Zachary E.","contributorId":196001,"corporation":false,"usgs":false,"family":"Ross","given":"Zachary","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":867484,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Trugman, Daniel T.","contributorId":197011,"corporation":false,"usgs":false,"family":"Trugman","given":"Daniel","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":867485,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70256528,"text":"70256528 - 2023 - Effects of environment and metacommunity delineation on multiple dimensions of stream fish beta diversity","interactions":[],"lastModifiedDate":"2024-08-21T16:46:56.236543","indexId":"70256528","displayToPublicDate":"2023-03-16T11:43:49","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Effects of environment and metacommunity delineation on multiple dimensions of stream fish beta diversity","docAbstract":"<p class=\"mb15\"><strong>Introduction:</strong><span>&nbsp;</span>Beta diversity represents changes in community composition among locations across a landscape. While the effects of human activities on beta diversity are becoming clearer, few studies have considered human effects on the three dimensions of beta diversity: taxonomic, functional, and phylogenetic. Including anthropogenic factors and multiple dimensions of biodiversity may explain additional variation in stream fish beta diversity, providing new insight into how metacommunities are structured within different spatial delineations.</p><p class=\"mb15\"><strong>Methods:</strong><span>&nbsp;</span>In this study, we used a 350 site stream fish abundance dataset from South Carolina, United States to quantify beta diversity explainable by spatial, natural environmental, and anthropogenic variables. We investigated three spatial delineations: (1) a single whole-state metacommunity delineated by political boundaries, (2) two metacommunities delineated by a natural geomorphic break separating uplands from lowlands, and (3) four metacommunities delineated by natural watershed boundaries. Within each metacommunity we calculated taxonomic, functional, and phylogenetic beta diversity and used variation partitioning to quantify spatial, natural environmental, and anthropogenic contributions to variations in beta diversity.</p><p class=\"mb15\"><strong>Results:</strong><span>&nbsp;</span>We explained 25–81% of the variation in stream fish beta diversity. The importance of these three factors in structuring metacommunities differed among the diversity dimensions, providing complementary perspectives on the processes shaping beta diversity in fish communities. The effect of spatial, natural environmental, and anthropogenic factors varied among the spatial delineations, which indicate conclusions drawn from variation partitioning may depend on the spatial delineation chosen by researchers.</p><p class=\"mb0\"><strong>Discussion:</strong><span>&nbsp;</span>Our study highlights the importance of considering human effects on metacommunity structure, quantifying multiple dimensions of beta diversity, and careful consideration of user-defined metacommunity boundaries in beta diversity analyses.</p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2023.1077994","usgsCitation":"Stocsynski, L., Scott, M.C., Bower, L.M., and Peoples, B.K., 2023, Effects of environment and metacommunity delineation on multiple dimensions of stream fish beta diversity: Frontiers in Ecology and Evolution, v. 11, 1077994, 16 p., https://doi.org/10.3389/fevo.2023.1077994.","productDescription":"1077994, 16 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Carolina\",\"nation\":\"USA  \"}}]}","volume":"11","noUsgsAuthors":false,"publicationDate":"2023-03-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Stocsynski, Lauren","contributorId":341032,"corporation":false,"usgs":false,"family":"Stocsynski","given":"Lauren","email":"","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":907830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scott, Mark C.","contributorId":341033,"corporation":false,"usgs":false,"family":"Scott","given":"Mark","email":"","middleInitial":"C.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":907831,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bower, Luke Max 0000-0002-0739-858X","orcid":"https://orcid.org/0000-0002-0739-858X","contributorId":341034,"corporation":false,"usgs":true,"family":"Bower","given":"Luke","email":"","middleInitial":"Max","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907832,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peoples, Brandon K.","contributorId":177551,"corporation":false,"usgs":false,"family":"Peoples","given":"Brandon","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":907833,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70273471,"text":"70273471 - 2023 - Microscale spatial variations in coseismic temperature rise on hematite fault mirrors in the Wasatch fault damage zone","interactions":[],"lastModifiedDate":"2026-01-15T15:20:05.080663","indexId":"70273471","displayToPublicDate":"2023-03-16T09:11:13","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7501,"text":"JGR Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Microscale spatial variations in coseismic temperature rise on hematite fault mirrors in the Wasatch fault damage zone","docAbstract":"<p><span>Coseismic temperature rise activates fault dynamic weakening that promotes earthquake rupture propagation. The spatial scales over which peak temperatures vary on slip surfaces are challenging to identify in the rock record. We present microstructural observations and electron backscatter diffraction data from three small-displacement hematite-coated fault mirrors (FMs) in the Wasatch fault damage zone, Utah, to evaluate relations between fault properties, strain localization, temperature rise, and weakening mechanisms during FM development. Millimeter- to cm-thick, matrix-supported, hematite-cemented breccia is cut by ∼25–200 μm-thick, texturally heterogeneous veins that form the hematite FM volume (FMV). Grain morphologies and textures vary with FMV thickness over μm to mm lengthscales. Cataclasite grades to ultracataclasite where FMV thickness is greatest. Thinner FMVs and geometric asperities are characterized by particles with subgrains, serrated grain boundaries, and(or) low-strain polygonal grains that increase in size with proximity to the FM surface. Comparison to prior hematite deformation experiments suggests FM temperatures broadly range from ≥400°C to ≥800–1100°C, compatible with observed coeval brittle and plastic deformation mechanisms, over sub-mm scales on individual slip surfaces during seismic slip. We present a model of FM development by episodic hematite precipitation, fault reactivation, and strain localization, where the thickness of hematite veins controls the width of the deforming zones during subsequent fault slip, facilitating temperature rise and thermally activated weakening. Our data document intrasample coseismic temperatures, resultant deformation and dynamic weakening mechanisms, and the length scales over which these vary on slip surfaces.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022JB025069","usgsCitation":"McDermott, R.G., Ault, A.K., Wetzel, K.F., Evans, J.P., and Shen, F., 2023, Microscale spatial variations in coseismic temperature rise on hematite fault mirrors in the Wasatch fault damage zone: JGR Solid Earth, v. 128, no. 3, e2022JB025069, 20 p., https://doi.org/10.1029/2022JB025069.","productDescription":"e2022JB025069, 20 p.","ipdsId":"IP-142375","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":498652,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Wasatch fault damage zone","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -112.0333,\n              41.425\n            ],\n            [\n              -112.0333,\n              41.366667\n            ],\n            [\n              -111.966667,\n              41.366667\n            ],\n            [\n              -111.966667,\n              41.425\n            ],\n            [\n              -112.0333,\n              41.425\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"128","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"McDermott, Robert Gregory 0000-0002-2550-0322","orcid":"https://orcid.org/0000-0002-2550-0322","contributorId":360810,"corporation":false,"usgs":true,"family":"McDermott","given":"Robert","middleInitial":"Gregory","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":953856,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ault, Alexis K.","contributorId":365163,"corporation":false,"usgs":false,"family":"Ault","given":"Alexis","middleInitial":"K.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":953857,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wetzel, Kelsey F.","contributorId":365164,"corporation":false,"usgs":false,"family":"Wetzel","given":"Kelsey","middleInitial":"F.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":953858,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Evans, James P.","contributorId":365165,"corporation":false,"usgs":false,"family":"Evans","given":"James","middleInitial":"P.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":953859,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shen, Fen-Ann","contributorId":365166,"corporation":false,"usgs":false,"family":"Shen","given":"Fen-Ann","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":953860,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70248415,"text":"70248415 - 2023 - Increasing hypoxia on global coral reefs under ocean warming","interactions":[],"lastModifiedDate":"2023-09-12T14:09:20.916709","indexId":"70248415","displayToPublicDate":"2023-03-16T09:02:55","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"Increasing hypoxia on global coral reefs under ocean warming","docAbstract":"<p><span>Ocean deoxygenation is predicted to threaten marine ecosystems globally. However, current and future oxygen concentrations and the occurrence of hypoxic events on coral reefs remain underexplored. Here, using autonomous sensor data to explore oxygen variability and hypoxia exposure at 32 representative reef sites, we reveal that hypoxia is already pervasive on many reefs. Eighty-four percent of reefs experienced weak to moderate (≤153 µmol O</span><sub>2</sub><span>&nbsp;kg</span><sup>−1</sup><span>&nbsp;to ≤92 µmol O</span><sub>2</sub><span>&nbsp;kg</span><sup>−1</sup><span>) hypoxia and 13% experienced severe (≤61 µmol O</span><sub>2</sub><span>&nbsp;kg</span><sup>−1</sup><span>) hypoxia. Under different climate change scenarios based on four Shared Socioeconomic Pathways (SSPs), we show that projected ocean warming and deoxygenation will increase the duration, intensity and severity of hypoxia, with more than 94% and 31% of reefs experiencing weak to moderate and severe hypoxia, respectively, by 2100 under SSP5-8.5. This projected oxygen loss could have negative consequences for coral reef taxa due to the key role of oxygen in organism functioning and fitness.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41558-023-01619-2","usgsCitation":"Pezner, A.K., Courtney, T.A., Barkley, H., Chou, W., Chu, H., Clements, S.M., Cyronak, T., DeGrandpre, M.D., Kekuewa, S.A., Kline, D.I., Liang, Y., Martz, T.R., Mitarai, S., Page, H.N., Rintoul, M.S., Smith, J.E., Soong, K., Takeshita, Y., Tresguerres, M., Wei, Y., Yates, K.K., and Andersson, A.J., 2023, Increasing hypoxia on global coral reefs under ocean warming: Nature Climate Change, v. 13, p. 403-409, https://doi.org/10.1038/s41558-023-01619-2.","productDescription":"7 p.","startPage":"403","endPage":"409","ipdsId":"IP-138099","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467117,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://oist.repo.nii.ac.jp/record/2000571/files/Pezner_MS_edits_clean_coauthors.pdf","text":"External Repository"},{"id":420717,"type":{"id":24,"text":"Thumbnail"},"url":"http://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","noUsgsAuthors":false,"publicationDate":"2023-03-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Pezner, Ariel K. 0000-0002-6076-7049","orcid":"https://orcid.org/0000-0002-6076-7049","contributorId":329646,"corporation":false,"usgs":false,"family":"Pezner","given":"Ariel","email":"","middleInitial":"K.","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":882824,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Courtney, Travis A.","contributorId":218225,"corporation":false,"usgs":false,"family":"Courtney","given":"Travis","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":882825,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barkley, Hannah","contributorId":329648,"corporation":false,"usgs":false,"family":"Barkley","given":"Hannah","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":882826,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chou, Wen-Chen 0000-0002-5107-7978","orcid":"https://orcid.org/0000-0002-5107-7978","contributorId":329650,"corporation":false,"usgs":false,"family":"Chou","given":"Wen-Chen","email":"","affiliations":[{"id":78679,"text":"National Taiwan Ocean University","active":true,"usgs":false}],"preferred":false,"id":882827,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chu, Hui-Chuan","contributorId":329651,"corporation":false,"usgs":false,"family":"Chu","given":"Hui-Chuan","email":"","affiliations":[{"id":78679,"text":"National Taiwan Ocean University","active":true,"usgs":false}],"preferred":false,"id":882828,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clements, Samanth M. 0000-0003-3094-2173","orcid":"https://orcid.org/0000-0003-3094-2173","contributorId":329652,"corporation":false,"usgs":false,"family":"Clements","given":"Samanth","email":"","middleInitial":"M.","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":882829,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cyronak, Tyler 0000-0003-3556-7616","orcid":"https://orcid.org/0000-0003-3556-7616","contributorId":329653,"corporation":false,"usgs":false,"family":"Cyronak","given":"Tyler","email":"","affiliations":[{"id":13165,"text":"Nova Southeastern University","active":true,"usgs":false}],"preferred":false,"id":882830,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"DeGrandpre, Michael D.","contributorId":187412,"corporation":false,"usgs":false,"family":"DeGrandpre","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":882831,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kekuewa, Samuel A.H. 0000-0003-0395-2261","orcid":"https://orcid.org/0000-0003-0395-2261","contributorId":329654,"corporation":false,"usgs":false,"family":"Kekuewa","given":"Samuel","email":"","middleInitial":"A.H.","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":882832,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kline, David I","contributorId":141143,"corporation":false,"usgs":false,"family":"Kline","given":"David","email":"","middleInitial":"I","affiliations":[{"id":12888,"text":"Scripps Institution of Oceanography, Univ of California","active":true,"usgs":false}],"preferred":false,"id":882833,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Liang, Yi-Bei 0000-0002-8622-8596","orcid":"https://orcid.org/0000-0002-8622-8596","contributorId":329656,"corporation":false,"usgs":false,"family":"Liang","given":"Yi-Bei","email":"","affiliations":[{"id":78681,"text":"National Sun Yat-sen University Taiwan","active":true,"usgs":false}],"preferred":false,"id":882834,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Martz, Todd R.","contributorId":199920,"corporation":false,"usgs":false,"family":"Martz","given":"Todd","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":882835,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Mitarai, Satoshi","contributorId":218228,"corporation":false,"usgs":false,"family":"Mitarai","given":"Satoshi","email":"","affiliations":[],"preferred":false,"id":882836,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Page, Heather N. 0000-0001-9997-0004","orcid":"https://orcid.org/0000-0001-9997-0004","contributorId":329657,"corporation":false,"usgs":false,"family":"Page","given":"Heather","email":"","middleInitial":"N.","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":882837,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Rintoul, Max S. 0000-0001-9141-9779","orcid":"https://orcid.org/0000-0001-9141-9779","contributorId":329658,"corporation":false,"usgs":false,"family":"Rintoul","given":"Max","email":"","middleInitial":"S.","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":882838,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Smith, Jennifer E. 0000-0002-4516-6931","orcid":"https://orcid.org/0000-0002-4516-6931","contributorId":329659,"corporation":false,"usgs":false,"family":"Smith","given":"Jennifer","email":"","middleInitial":"E.","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":882839,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Soong, Keryea 0000-0002-4371-7103","orcid":"https://orcid.org/0000-0002-4371-7103","contributorId":329660,"corporation":false,"usgs":false,"family":"Soong","given":"Keryea","email":"","affiliations":[{"id":78681,"text":"National Sun Yat-sen University Taiwan","active":true,"usgs":false}],"preferred":false,"id":882840,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Takeshita, Yuichiro","contributorId":329673,"corporation":false,"usgs":false,"family":"Takeshita","given":"Yuichiro","email":"","affiliations":[],"preferred":false,"id":882841,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Tresguerres, Martin 0000-0002-7090-9266","orcid":"https://orcid.org/0000-0002-7090-9266","contributorId":329662,"corporation":false,"usgs":false,"family":"Tresguerres","given":"Martin","email":"","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":882842,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Wei, Yi","contributorId":329663,"corporation":false,"usgs":false,"family":"Wei","given":"Yi","email":"","affiliations":[{"id":30216,"text":"National Taiwan University","active":true,"usgs":false}],"preferred":false,"id":882843,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Yates, Kimberly K. 0000-0001-8764-0358","orcid":"https://orcid.org/0000-0001-8764-0358","contributorId":214349,"corporation":false,"usgs":true,"family":"Yates","given":"Kimberly","email":"","middleInitial":"K.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":882844,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Andersson, Andreas J","contributorId":141142,"corporation":false,"usgs":false,"family":"Andersson","given":"Andreas","email":"","middleInitial":"J","affiliations":[{"id":12888,"text":"Scripps Institution of Oceanography, Univ of California","active":true,"usgs":false}],"preferred":false,"id":882845,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}}
,{"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":70252900,"text":"70252900 - 2023 - Editorial: Volcanic forecasting, crisis management, and risk communication","interactions":[],"lastModifiedDate":"2024-04-10T11:54:05.552398","indexId":"70252900","displayToPublicDate":"2023-03-16T06:52:43","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"Editorial: Volcanic forecasting, crisis management, and risk communication","docAbstract":"Volcanic eruptions intermittently punctuate periods of repose at volcanic centers and fields. Forecasting the timing, style, distribution, and magnitude of these eruptions is difficult, because eruptive activity varies over time, commonly in an irregular way. Furthermore, the impacts of eruptions can include loss of lives, property damage, and social and economic disturbance, where every eruption produces different impacts. Mitigation of volcanic risk is therefore complex, requiring community action that is aided by preparedness actions of emergency managers, stakeholders, community leaders, and individuals, and by timely delivery and reception of hazard information during a crisis.\n\nThis Research Topic addresses efforts to understand complexities in these relations dealing with volcanic unrest, eruptions, and eruption impacts. Research Topic range from eruption forecasting (Wild et al.; Christophersen et al.; Bernard et al.) and volcanic hazard assessment (Mead et al.) to risk communication and action (Martinez-Villegas et al.; Todesco et al.; Graham et al.; Bernard et al.) prior to and during volcanic crises. The studies use various methodologies and approaches, touching on various parts of the integrated, multi-partner systems that exist to improve risk mitigation.","language":"English","publisher":"Frontiers","doi":"10.3389/feart.2023.1182252","usgsCitation":"Andreastuti, S., Wright, H.M., Fontijn, K., and Miller, V., 2023, Editorial: Volcanic forecasting, crisis management, and risk communication: Frontiers in Earth Science, v. 11, 1182252, 2 p., https://doi.org/10.3389/feart.2023.1182252.","productDescription":"1182252, 2 p.","ipdsId":"IP-151731","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":444198,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2023.1182252","text":"Publisher Index Page"},{"id":427638,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","noUsgsAuthors":false,"publicationDate":"2023-03-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Andreastuti, Supriyati","contributorId":243218,"corporation":false,"usgs":false,"family":"Andreastuti","given":"Supriyati","affiliations":[{"id":37068,"text":"CVGHM","active":true,"usgs":false}],"preferred":false,"id":898613,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Heather M. 0000-0001-9013-507X hwright@usgs.gov","orcid":"https://orcid.org/0000-0001-9013-507X","contributorId":3949,"corporation":false,"usgs":true,"family":"Wright","given":"Heather","email":"hwright@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":898614,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fontijn, Karen","contributorId":184084,"corporation":false,"usgs":false,"family":"Fontijn","given":"Karen","email":"","affiliations":[],"preferred":false,"id":898615,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Victoria","contributorId":335533,"corporation":false,"usgs":false,"family":"Miller","given":"Victoria","email":"","affiliations":[{"id":36277,"text":"GNS Science","active":true,"usgs":false}],"preferred":false,"id":898616,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70241223,"text":"ofr20231007 - 2023 - Geospatial standard operating procedures of the Chesapeake Bay Program","interactions":[],"lastModifiedDate":"2023-03-16T10:48:56.467409","indexId":"ofr20231007","displayToPublicDate":"2023-03-16T05:45:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-1007","displayTitle":"Geospatial Standard Operating Procedures of the Chesapeake Bay Program","title":"Geospatial standard operating procedures of the Chesapeake Bay Program","docAbstract":"<h1>Introduction&nbsp;</h1><p>The Chesapeake Bay Program (CBP) has operated a geographic information system (GIS) program since the early 1990s to address the established and growing need for and use of geospatial data, maps, and analysis within the CBP Partnership. This report is intended to detail the standard operating procedures of the CBP GIS program and address the quality assurance, quality control, and other technical activities that CBP will implement to ensure the commitment of the CBP GIS Team to performance standards (U.S. Environmental Protection Agency, 2003). The report is intended as an update to the 2011 Quality Assurance Project Plan (QAPP). For specialized tasks or analytical projects beyond the scope of this QAPP, a separate specialized QAPP with details on quality control, assurance procedures, and the geospatial methods associated with all aspects of the project may be required.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231007","collaboration":"Prepared in cooperation with the University of Maryland Center for Environmental Science","usgsCitation":"Wolf, J., Ahmed, L., Claggett, P., Fitch, A., Irani, F., McDonald, S., Strong, D., Thompson, R., and Wei, Z., 2023, Geospatial standard operating procedures of the Chesapeake Bay Program: U.S. Geological Survey Open-File Report 2023–1007, 22 p., https://doi.org/10.3133/ofr20231007.","productDescription":"vi; 22 p.","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-116901","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":414217,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1007/coverthb.jpg"},{"id":414218,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1007/ofr20231007.pdf","text":"Report","size":"1.08 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2023-1007"},{"id":414219,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231007/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2023-1007"},{"id":414220,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1007/ofr20231007.XML"},{"id":414221,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1007/images/"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/lower-mississippi-gulf-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/lower-mississippi-gulf-water-science-center\">Lower Mississippi-Gulf Water Science Center</a><br>U.S. Geological Survey<br>640 Grassmere Park Drive<br>Nashville, TN 37211</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Introduction</li><li>Data Generation and Acquisition</li><li>Data Management</li><li>Quality Control and Assessment</li><li>Project Management</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2023-03-16","noUsgsAuthors":false,"publicationDate":"2023-03-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Wolf, John C. 0000-0002-9970-2250","orcid":"https://orcid.org/0000-0002-9970-2250","contributorId":303114,"corporation":false,"usgs":true,"family":"Wolf","given":"John","email":"","middleInitial":"C.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ahmed, Labeeb 0000-0003-4524-9611","orcid":"https://orcid.org/0000-0003-4524-9611","contributorId":303117,"corporation":false,"usgs":true,"family":"Ahmed","given":"Labeeb","email":"","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866582,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Claggett, Peter 0000-0002-5335-2857","orcid":"https://orcid.org/0000-0002-5335-2857","contributorId":238920,"corporation":false,"usgs":true,"family":"Claggett","given":"Peter","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":866583,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fitch, Andrew 0000-0002-5213-9501","orcid":"https://orcid.org/0000-0002-5213-9501","contributorId":303120,"corporation":false,"usgs":true,"family":"Fitch","given":"Andrew","email":"","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866586,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Irani, Frederick 0000-0002-2424-0135 firani@usgs.gov","orcid":"https://orcid.org/0000-0002-2424-0135","contributorId":303119,"corporation":false,"usgs":true,"family":"Irani","given":"Frederick","email":"firani@usgs.gov","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866585,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McDonald, Sarah 0000-0003-3534-325X","orcid":"https://orcid.org/0000-0003-3534-325X","contributorId":303116,"corporation":false,"usgs":true,"family":"McDonald","given":"Sarah","email":"","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866581,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Strong, David 0000-0002-4687-8076 dstrong@usgs.gov","orcid":"https://orcid.org/0000-0002-4687-8076","contributorId":303118,"corporation":false,"usgs":true,"family":"Strong","given":"David","email":"dstrong@usgs.gov","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866584,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thompson, Renee 0000-0003-1463-5173 rthompson1@usgs.gov","orcid":"https://orcid.org/0000-0003-1463-5173","contributorId":303115,"corporation":false,"usgs":true,"family":"Thompson","given":"Renee","email":"rthompson1@usgs.gov","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866579,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wei, Zhaoying","contributorId":245828,"corporation":false,"usgs":false,"family":"Wei","given":"Zhaoying","email":"","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":866580,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"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":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","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":70256615,"text":"70256615 - 2023 - Diurnal time–activity budget and habitat use of Whooping Cranes (Grus americana) in the reintroduced Louisiana nonmigratory population","interactions":[],"lastModifiedDate":"2024-08-26T22:40:40.917527","indexId":"70256615","displayToPublicDate":"2023-03-15T17:34:40","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7509,"text":"The Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Diurnal time–activity budget and habitat use of Whooping Cranes (Grus americana) in the reintroduced Louisiana nonmigratory population","docAbstract":"<p id=\"ID0EF\" class=\"first\">Time–activity budget studies provide valuable insights for better understanding animal behavior relative to spatial and temporal habitat use. We examined a reintroduced, nonmigratory Whooping Crane (<i>Grus americana</i>) population to determine how time–activity budgets change relative to crane age, sex, habitat type, and season. Our study area encompassed natural marshes and working wetlands primarily in southwestern Louisiana. From June 2012 to January 2016, we conducted continuous focal sampling on individuals (<i>n</i><span>&nbsp;</span>= 27) from the first 4 captive-reared cohorts released in the state. We classified age groups as juveniles, subadults, and adults, and identified 5 main habitat types utilized by cranes in Louisiana: crawfish ponds, rice fields, agricultural levees/farm roads, fallow fields, and natural wetlands. On average, cranes spent approximately 53% of their diurnal time–activity budget foraging. Maintenance/rest (28%), vigilance (12%), locomotion (6%), and other/unknown (2%) behaviors accounted for the remainder of the time observed. Foraging most frequently occurred in fallow fields and crawfish ponds where cranes likely encountered greater invertebrate biomass and density. Cranes tended to spend less time foraging and more time on maintenance as they aged, which could indicate age-dependent differences based on experience on the landscape. Vigilance levels were not significantly affected by age, but males tended to be more vigilant than females. As this young population continues to mature, additional study of breeding pairs and family groups may elucidate other behavioral differences in response to the dynamic habitat conditions in the region.</p>","language":"English","publisher":"BioOne","doi":"10.1676/22-00039","usgsCitation":"Vasseur, P., King, S.L., and Kaller, M., 2023, Diurnal time–activity budget and habitat use of Whooping Cranes (Grus americana) in the reintroduced Louisiana nonmigratory population: The Wilson Journal of Ornithology, v. 135, no. 1, p. 31-45, https://doi.org/10.1676/22-00039.","productDescription":"15 p.","startPage":"31","endPage":"45","ipdsId":"IP-139263","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":444201,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1676/22-00039","text":"Publisher Index Page"},{"id":433172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"135","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Vasseur, Phillip L.","contributorId":341374,"corporation":false,"usgs":false,"family":"Vasseur","given":"Phillip L.","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":908319,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908320,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kaller, Michael D.","contributorId":341375,"corporation":false,"usgs":false,"family":"Kaller","given":"Michael D.","affiliations":[{"id":32913,"text":"Louisiana State University Agricultural Center","active":true,"usgs":false}],"preferred":false,"id":908321,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70250816,"text":"70250816 - 2023 - Crossing the threshold: Invasive grasses inhibit forest restoration on Hawaiian islands","interactions":[],"lastModifiedDate":"2024-01-08T17:12:25.046632","indexId":"70250816","displayToPublicDate":"2023-03-15T11:07:33","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Crossing the threshold: Invasive grasses inhibit forest restoration on Hawaiian islands","docAbstract":"<p><span>Forest removal for livestock grazing is a striking example of human-caused state change leading to a stable, undesirable invasive grass system that is resistant to restoration efforts. Understanding which factors lead to resilience to the alternative grass state can greatly benefit managers when planning forest restoration. We address how thresholds of grass cover and seed rain might influence forest recovery in a restoration project on Hawaiʻi Island, USA. Since the 1980s, over 400,000&nbsp;</span><i>Acacia koa</i><span>&nbsp;(koa) trees have been planted across degraded pasture, and invasive grasses still dominate the understory with no native woody-plant recruitment. Between this koa/grass matrix are remnant native&nbsp;</span><i>Metrosideros polymorpha</i><span>&nbsp;(ʻōhiʻa) trees beneath which native woody plants naturally recruit. We tested whether there were threshold levels of native woody understory that accelerate recruitment under both tree species by monitoring seed rain at 40 trees (20 koa and ʻōhiʻa) with a range of native woody understory basal area (BA). We found a positive relationship between total seed rain (but not bird-dispersed seed rain) and native woody BA and a negative relationship between native woody BA and grass cover, with no indication of threshold dynamics. We also experimentally combined grass removal levels with seed rain density (six levels) of two common understory species in plots under koa (</span><i>n</i><span> = 9) and remnant ʻōhiʻa (</span><i>n</i><span> = 9). Few seedlings emerged when no grass was removed despite adding seeds at densities two to 75 times higher than naturally occurring. However, seedling recruitment increased two to three times once at least 50% of grass was removed. Existing survey data of naturally occurring seedlings also supported a threshold of grass cover below which seedlings were able to establish. Thus, removal of all grasses is not necessary to achieve system responses: Even moderate reductions (~50%) can increase rates of native woody recruitment. The nonlinear thresholds found here highlight how incremental changes to an inhibitory factor lead to limited restoration success until a threshold is crossed. The resources needed to fully eradicate an invasive species may be unwarranted for state change, making understanding where thresholds lie of the utmost importance to prioritize resources.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2841","usgsCitation":"Rehm, E.M., D'Antonio, C., and Yelenik, S.G., 2023, Crossing the threshold: Invasive grasses inhibit forest restoration on Hawaiian islands: Ecological Applications, v. 33, no. 4, e2841, 16 p., https://doi.org/10.1002/eap.2841.","productDescription":"e2841, 16 p.","ipdsId":"IP-146381","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":444204,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.2841","text":"Publisher Index Page"},{"id":435410,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98OUTPW","text":"USGS data release","linkHelpText":"Hakalau Forest NWR seedling and substrate data, 2015"},{"id":424193,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Hakalau Forest National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.33984563763397,\n              19.888564964992852\n            ],\n            [\n              -155.33984563763397,\n              19.7594436528868\n            ],\n            [\n              -155.2208910771554,\n              19.7594436528868\n            ],\n            [\n              -155.20855397426797,\n              19.931097090422853\n            ],\n            [\n              -155.33984563763397,\n              19.888564964992852\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"33","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Rehm, Evan M","contributorId":216487,"corporation":false,"usgs":false,"family":"Rehm","given":"Evan","email":"","middleInitial":"M","affiliations":[{"id":39457,"text":"University of California at Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":891660,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"D'Antonio, Carla M.","contributorId":27992,"corporation":false,"usgs":false,"family":"D'Antonio","given":"Carla M.","affiliations":[],"preferred":false,"id":891661,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yelenik, Stephanie G. 0000-0002-9011-0769","orcid":"https://orcid.org/0000-0002-9011-0769","contributorId":256836,"corporation":false,"usgs":false,"family":"Yelenik","given":"Stephanie","email":"","middleInitial":"G.","affiliations":[{"id":51875,"text":"formerly U.S. Geological Survey; currently Rocky Mountain Research Station, U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":891662,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70252452,"text":"70252452 - 2023 - Ecological harm and economic damages of chemical contamination to linked aquatic-terrestrial food webs: A study-design tool for practitioners","interactions":[],"lastModifiedDate":"2024-09-18T16:03:02.473007","indexId":"70252452","displayToPublicDate":"2023-03-15T09:51:22","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Ecological harm and economic damages of chemical contamination to linked aquatic-terrestrial food webs: A study-design tool for practitioners","docAbstract":"<p><span>Contamination of aquatic ecosystems can have cascading effects on terrestrial consumers by altering the availability and quality of aquatic insect prey. Comprehensive assessment of these indirect food-web effects of contaminants on natural resources and their associated services necessitates using both ecological and economic tools. In the present study we present an aquatic-terrestrial assessment tool (AT2), including ecological and economic decision trees, to aid practitioners and researchers in designing contaminant effect studies for linked aquatic-terrestrial insect-based food webs. The tool is tailored to address the development of legal claims by the US Department of the Interior's Natural Resource Damage Assessment and Restoration Program, which aims to restore natural resources injured by oil spills and hazardous substance releases into the environment. Such cases require establishing, through scientific inquiry, the existence of natural resource injury as well as the determination of the monetary or in-kind project-based damages required to restore this injury. However, this tool is also useful to researchers interested in questions involving the effects of contaminants on linked aquatic-terrestrial food webs. Stylized cases exemplify how application of AT2 can help practitioners and researchers design studies when the contaminants present at a site are likely to lead to injury of terrestrial aerial insectivores through loss of aquatic insect prey and/or dietary contaminant exposure. Designing such studies with ecological endpoints and economic modeling inputs in mind will increase the relevance and cost-effectiveness of studies, which can in turn improve the outcomes of cases and studies involving the ecological effects of contaminants on food webs.&nbsp;</span></p>","language":"English","publisher":"Society of Environmental Toxicology and Chemistry (SETAC)","doi":"10.1002/etc.5609","usgsCitation":"Kraus, J.M., Skrabis, K., Ciparis, S., Isanhart, J., Kenney, A., and Hinck, J.E., 2023, Ecological harm and economic damages of chemical contamination to linked aquatic-terrestrial food webs: A study-design tool for practitioners: Environmental Toxicology and Chemistry, v. 42, no. 9, p. 2029-2039, https://doi.org/10.1002/etc.5609.","productDescription":"11 p.","startPage":"2029","endPage":"2039","ipdsId":"IP-146277","costCenters":[{"id":192,"text":"Columbia Environmental Research 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States\"}}]}","volume":"42","issue":"9","noUsgsAuthors":false,"publicationDate":"2023-03-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Kraus, Johanna M. 0000-0002-9513-4129 jkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-9513-4129","contributorId":4834,"corporation":false,"usgs":true,"family":"Kraus","given":"Johanna","email":"jkraus@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":897198,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Skrabis, Kristin","contributorId":167394,"corporation":false,"usgs":false,"family":"Skrabis","given":"Kristin","email":"","affiliations":[],"preferred":false,"id":897199,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ciparis, Serena","contributorId":279464,"corporation":false,"usgs":false,"family":"Ciparis","given":"Serena","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":897202,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Isanhart, John 0000-0003-0208-1839","orcid":"https://orcid.org/0000-0003-0208-1839","contributorId":200693,"corporation":false,"usgs":false,"family":"Isanhart","given":"John","email":"","affiliations":[],"preferred":false,"id":897201,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kenney, Aleshia","contributorId":237780,"corporation":false,"usgs":false,"family":"Kenney","given":"Aleshia","email":"","affiliations":[{"id":47611,"text":"USFWS, Illinois Ecological Services Field Office","active":true,"usgs":false}],"preferred":false,"id":897203,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hinck, Jo Ellen 0000-0002-4912-5766 jhinck@usgs.gov","orcid":"https://orcid.org/0000-0002-4912-5766","contributorId":2743,"corporation":false,"usgs":true,"family":"Hinck","given":"Jo","email":"jhinck@usgs.gov","middleInitial":"Ellen","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":897200,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70254295,"text":"70254295 - 2023 - Development of a benchmark eddy flux evapotranspiration dataset for evaluation of satellite-driven evapotranspiration models over the CONUS","interactions":[],"lastModifiedDate":"2024-05-17T14:39:17.114319","indexId":"70254295","displayToPublicDate":"2023-03-15T09:36:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":681,"text":"Agricultural and Forest Meteorology","active":true,"publicationSubtype":{"id":10}},"title":"Development of a benchmark eddy flux evapotranspiration dataset for evaluation of satellite-driven evapotranspiration models over the CONUS","docAbstract":"<p><span>A large sample of ground-based evapotranspiration (ET) measurements made in the United States, primarily from eddy covariance systems, were post-processed to produce a benchmark ET dataset. The dataset was produced primarily to support the intercomparison and evaluation of the OpenET satellite-based remote sensing ET (RSET) models and could also be used to evaluate ET data from other models and approaches. OpenET is a web-based service that makes field-delineated and pixel-level ET estimates from well-established RSET models readily available to water managers, agricultural producers, and the public. The benchmark dataset is composed of flux and meteorological data from a variety of providers covering native vegetation and agricultural settings. Flux footprint predictions were developed for each station and included static flux footprints developed based on average wind direction and speed, as well as dynamic hourly footprints that were generated with a physically based model of upwind source area. The two footprint prediction methods were rigorously compared to evaluate their relative spatial coverage. Data from all sources were post-processed in a consistent and reproducible manner including data handling, gap-filling, temporal aggregation, and energy balance closure correction. The resulting dataset included 243,048 daily and 5,284 monthly ET values from 194 stations, with all data falling between 1995 and 2021. We assessed average daily energy imbalance using 172 flux sites with a total of 193,021 days of data, finding that overall turbulent fluxes were understated by about 12% on average relative to available energy. Multiple linear regression analyses indicated that daily average latent energy flux may be typically understated slightly more than sensible heat flux. This dataset was developed to provide a consistent reference to support evaluation of RSET data being developed for a wide range of applications related to water accounting and water resources management at field to watershed scales.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.agrformet.2023.109307","usgsCitation":"Volk, J.M., Huntington, J., Melton, F.M., Allen, R., Anderson, M.C., Fisher, J.B., Kilic, A., Senay, G.B., Halverson, G., Knipper, K., Minor, B., Pearson, C., Wang, T., Yang, Y., Evett, S.R., French, A.N., Jasoni, R.L., and Kustas, W.P., 2023, Development of a benchmark eddy flux evapotranspiration dataset for evaluation of satellite-driven evapotranspiration models over the CONUS: Agricultural and Forest Meteorology, v. 331, 109307, 15 p., https://doi.org/10.1016/j.agrformet.2023.109307.","productDescription":"109307, 15 p.","ipdsId":"IP-147475","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) 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