{"pageNumber":"188","pageRowStart":"4675","pageSize":"25","recordCount":165296,"records":[{"id":70255521,"text":"70255521 - 2024 - A conserved interdomain microbial network underpins cadaver decomposition despite environmental variables","interactions":[],"lastModifiedDate":"2024-06-20T11:18:56.793294","indexId":"70255521","displayToPublicDate":"2024-02-12T06:06:59","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5843,"text":"Nature Microbiology","onlineIssn":"2058-5276","active":true,"publicationSubtype":{"id":10}},"title":"A conserved interdomain microbial network underpins cadaver decomposition despite environmental variables","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Microbial breakdown of organic matter is one of the most important processes on Earth, yet the controls of decomposition are poorly understood. Here we track 36 terrestrial human cadavers in three locations and show that a phylogenetically distinct, interdomain microbial network assembles during decomposition despite selection effects of location, climate and season. We generated a metagenome-assembled genome library from cadaver-associated soils and integrated it with metabolomics data to identify links between taxonomy and function. This universal network of microbial decomposers is characterized by cross-feeding to metabolize labile decomposition products. The key bacterial and fungal decomposers are rare across non-decomposition environments and appear unique to the breakdown of terrestrial decaying flesh, including humans, swine, mice and cattle, with insects as likely important vectors for dispersal. The observed lockstep of microbial interactions further underlies a robust microbial forensic tool with the potential to aid predictions of the time since death.</p></div></div>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41564-023-01580-y","usgsCitation":"Burcham, Z.M., Belk, A.D., McGivern, B.B., Bouslimani, A., Ghadermazi, P., Martino, C., Shenhav, L., Zhang, A.R., Shi, P., Emmons, A., Deel, H., Xu, Z.Z., Nieciecki, V., Zhu, Q., Shaffer, M., Panitchpakdi, M., Weldon, K., Cantrell, K., Ben-Hur, A., Reed, S., Humphry, G.C., Ackermann, G., McDonald, D., Chan, S.H., Connor, M., Boyd, D., Smith, J., Watson, J., Vidoli, G., Steadman, D., Lynne, A.M., Bucheli, S.R., Dorrestein, P.C., Wrighton, K.C., Carter, D.O., Knight, R., and Metcalf, J.L., 2024, A conserved interdomain microbial network underpins cadaver decomposition despite environmental variables: Nature Microbiology, v. 9, p. 595-613, https://doi.org/10.1038/s41564-023-01580-y.","productDescription":"19 p.","startPage":"595","endPage":"613","ipdsId":"IP-158792","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":440455,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41564-023-01580-y","text":"Publisher Index Page"},{"id":430383,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","noUsgsAuthors":false,"publicationDate":"2024-02-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Burcham, Zachary M.","contributorId":339482,"corporation":false,"usgs":false,"family":"Burcham","given":"Zachary","email":"","middleInitial":"M.","affiliations":[{"id":81309,"text":"Department of Animal Sciences, Colorado State University, Fort Collins, CO, USA","active":true,"usgs":false}],"preferred":false,"id":904457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belk, Aeriel D.","contributorId":339483,"corporation":false,"usgs":false,"family":"Belk","given":"Aeriel","email":"","middleInitial":"D.","affiliations":[{"id":81310,"text":"Department of Animal Sciences, Colorado State University, Fort Collins, CO, USA; Department of Animal Sciences, Auburn University, Auburn, AL, USA","active":true,"usgs":false}],"preferred":false,"id":904458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGivern, Bridget B.","contributorId":339484,"corporation":false,"usgs":false,"family":"McGivern","given":"Bridget","email":"","middleInitial":"B.","affiliations":[{"id":81311,"text":"Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO, USA","active":true,"usgs":false}],"preferred":false,"id":904459,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bouslimani, Amina","contributorId":339485,"corporation":false,"usgs":false,"family":"Bouslimani","given":"Amina","email":"","affiliations":[{"id":81312,"text":"Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA","active":true,"usgs":false}],"preferred":false,"id":904460,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ghadermazi, Parsa","contributorId":339486,"corporation":false,"usgs":false,"family":"Ghadermazi","given":"Parsa","email":"","affiliations":[{"id":81314,"text":"Department of Chemical and Biological Engineering, Colorado State University, Fort Collins, CO, USA","active":true,"usgs":false}],"preferred":false,"id":904461,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Martino, Cameron","contributorId":339487,"corporation":false,"usgs":false,"family":"Martino","given":"Cameron","email":"","affiliations":[{"id":81315,"text":"Department of Pediatrics, University of California San Diego, La Jolla, California, USA","active":true,"usgs":false}],"preferred":false,"id":904462,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shenhav, Liat","contributorId":339488,"corporation":false,"usgs":false,"family":"Shenhav","given":"Liat","email":"","affiliations":[{"id":81316,"text":"Center for Studies in Physics and Biology, Rockefeller University; Institute for Systems Genetics, New York Grossman School of Medicine; Department of Computer Science, New York University, New York, NY, USA","active":true,"usgs":false}],"preferred":false,"id":904463,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zhang, Anru R.","contributorId":339489,"corporation":false,"usgs":false,"family":"Zhang","given":"Anru","email":"","middleInitial":"R.","affiliations":[{"id":81317,"text":"Department of Biostatistics & Bioinformatics, Duke University, Durham, NC, USA; Department of Computer Science, Duke University, Durham, NC, USA","active":true,"usgs":false}],"preferred":false,"id":904464,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shi, Pixu","contributorId":339490,"corporation":false,"usgs":false,"family":"Shi","given":"Pixu","email":"","affiliations":[{"id":81319,"text":"Department of Biostatistics & Bioinformatics, Duke University, Durham, NC, USA","active":true,"usgs":false}],"preferred":false,"id":904465,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Emmons, Alexandra","contributorId":339491,"corporation":false,"usgs":false,"family":"Emmons","given":"Alexandra","email":"","affiliations":[{"id":81309,"text":"Department of Animal Sciences, Colorado State University, Fort Collins, CO, USA","active":true,"usgs":false}],"preferred":false,"id":904466,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Deel, Heather","contributorId":339492,"corporation":false,"usgs":false,"family":"Deel","given":"Heather","email":"","affiliations":[{"id":81309,"text":"Department of Animal Sciences, Colorado State University, Fort Collins, CO, USA","active":true,"usgs":false}],"preferred":false,"id":904467,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Xu, Zhenjiang Zech","contributorId":166788,"corporation":false,"usgs":false,"family":"Xu","given":"Zhenjiang","email":"","middleInitial":"Zech","affiliations":[{"id":24517,"text":"Department of Pediatrics, University of California, San Diego, CA","active":true,"usgs":false}],"preferred":false,"id":904468,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Nieciecki, Victoria","contributorId":339493,"corporation":false,"usgs":false,"family":"Nieciecki","given":"Victoria","email":"","affiliations":[{"id":81309,"text":"Department of Animal Sciences, Colorado State University, Fort Collins, CO, USA","active":true,"usgs":false}],"preferred":false,"id":904469,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Zhu, Qiyun","contributorId":339494,"corporation":false,"usgs":false,"family":"Zhu","given":"Qiyun","email":"","affiliations":[{"id":81320,"text":"Department of Pediatrics, University of California San Diego, La Jolla, California, USA; School of Life Sciences, Arizona State University; Center for Fundamental and Applied Microbiomics, Arizona State University, Tempe, AZ, USA.","active":true,"usgs":false}],"preferred":false,"id":904470,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Shaffer, Michael","contributorId":339495,"corporation":false,"usgs":false,"family":"Shaffer","given":"Michael","email":"","affiliations":[{"id":81311,"text":"Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO, USA","active":true,"usgs":false}],"preferred":false,"id":904471,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Panitchpakdi, Morgan","contributorId":339496,"corporation":false,"usgs":false,"family":"Panitchpakdi","given":"Morgan","email":"","affiliations":[{"id":81312,"text":"Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA","active":true,"usgs":false}],"preferred":false,"id":904472,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Weldon, Kelly","contributorId":339497,"corporation":false,"usgs":false,"family":"Weldon","given":"Kelly","email":"","affiliations":[{"id":81312,"text":"Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA, USA","active":true,"usgs":false}],"preferred":false,"id":904473,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Cantrell, Kalen","contributorId":339498,"corporation":false,"usgs":false,"family":"Cantrell","given":"Kalen","email":"","affiliations":[{"id":81321,"text":"Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA","active":true,"usgs":false}],"preferred":false,"id":904474,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Ben-Hur, Asa","contributorId":339499,"corporation":false,"usgs":false,"family":"Ben-Hur","given":"Asa","email":"","affiliations":[{"id":81322,"text":"Department of Computer Science, Colorado State University, Fort Collins, CO, USA","active":true,"usgs":false}],"preferred":false,"id":904475,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":205372,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":904476,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Humphry, Greg C.","contributorId":339500,"corporation":false,"usgs":false,"family":"Humphry","given":"Greg","email":"","middleInitial":"C.","affiliations":[{"id":81315,"text":"Department of Pediatrics, University of California San Diego, La Jolla, California, USA","active":true,"usgs":false}],"preferred":false,"id":904477,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Ackermann, Gail","contributorId":166799,"corporation":false,"usgs":false,"family":"Ackermann","given":"Gail","email":"","affiliations":[{"id":24517,"text":"Department of Pediatrics, University of California, San Diego, CA","active":true,"usgs":false}],"preferred":false,"id":904478,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"McDonald, Daniel","contributorId":339501,"corporation":false,"usgs":false,"family":"McDonald","given":"Daniel","email":"","affiliations":[{"id":81315,"text":"Department of Pediatrics, University of California San Diego, La Jolla, California, USA","active":true,"usgs":false}],"preferred":false,"id":904479,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Chan, Siu Hung Joshua","contributorId":339502,"corporation":false,"usgs":false,"family":"Chan","given":"Siu","email":"","middleInitial":"Hung Joshua","affiliations":[{"id":81314,"text":"Department of Chemical and Biological Engineering, Colorado State University, Fort Collins, CO, USA","active":true,"usgs":false}],"preferred":false,"id":904480,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Connor, Melissa","contributorId":339503,"corporation":false,"usgs":false,"family":"Connor","given":"Melissa","email":"","affiliations":[{"id":81323,"text":"Forensic Investigation Research Station, Colorado Mesa University, Grand Junction, CO, USA","active":true,"usgs":false}],"preferred":false,"id":904481,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Boyd, Derek","contributorId":339504,"corporation":false,"usgs":false,"family":"Boyd","given":"Derek","email":"","affiliations":[{"id":81324,"text":"Forensic Anthropology Center, Department of Anthropology, University of Tennessee, Knoxville, TN; 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Deepartment of Computer Science and Engineering, University of California, San Diego, CA","active":true,"usgs":false}],"preferred":false,"id":904492,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Metcalf, Jessica L.","contributorId":339511,"corporation":false,"usgs":false,"family":"Metcalf","given":"Jessica","email":"","middleInitial":"L.","affiliations":[{"id":81309,"text":"Department of Animal Sciences, Colorado State University, Fort Collins, CO, USA","active":true,"usgs":false}],"preferred":false,"id":904493,"contributorType":{"id":1,"text":"Authors"},"rank":37}]}}
,{"id":70257396,"text":"70257396 - 2024 - Net carbon sequestration implications of intensified timber harvest in Northeastern U.S. forests","interactions":[],"lastModifiedDate":"2024-08-28T22:47:28.603566","indexId":"70257396","displayToPublicDate":"2024-02-11T15:36:01","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Net carbon sequestration implications of intensified timber harvest in Northeastern U.S. forests","docAbstract":"<p><span>U.S. forests, particularly in the eastern states, provide an important offset to greenhouse gas (GHG) emissions. Some have proposed that forest-based natural climate solutions can be strengthened via a number of strategies, including increases in the production of forest biomass energy. We used output from a forest dynamics model (SORTIE-ND) in combination with a GHG accounting tool (ForGATE) to estimate the carbon consequences of current and intensified timber harvest regimes in the Northeastern United States. We considered a range of carbon pools including forest ecosystem pools, forest product pools, and waste pools, along with different scenarios of feedstock production for biomass energy. The business-as-usual (BAU) scenario, which represents current harvest practices derived from the analysis of U.S. Forest Service Forest Inventory and Analysis data, sequestered more net CO</span><sub>2</sub><span>&nbsp;equivalents than any of the intensified harvest and feedstock utilization scenarios over the next decade, the most important time period for combatting climate change. Increasing the intensity of timber harvest increased total emissions and reduced landscape average forest carbon stocks, resulting in reduced net carbon sequestration relative to current harvest regimes. Net carbon sequestration “parity points,” where the regional cumulative net carbon sequestration from alternate intensified harvest scenarios converge with and then exceed the BAU baseline, ranged from 12 to 40 years. A “no harvest” scenario provides an estimate of an upper bound on forest carbon sequestration in the region given the expected successional dynamics of the region's forests but ignores leakage. Regional net carbon sequestration is primarily influenced by (1) the harvest regime and amount of forest biomass removal, (2) the degree to which bioenergy displaces fossil fuel use, and (3) the proportion of biomass diverted to energy feedstocks versus wood products.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.4758","usgsCitation":"Brown, M.L., Canham, C., Buchholz, T., Gunn, J.S., and Donovan, T.M., 2024, Net carbon sequestration implications of intensified timber harvest in Northeastern U.S. forests: Ecosphere, v. 15, no. 2, e4758, 17 p., https://doi.org/10.1002/ecs2.4758.","productDescription":"e4758, 17 p.","ipdsId":"IP-145783","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":486940,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4758","text":"Publisher Index 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 \"}}]}","volume":"15","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-02-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Brown, Michelle L.","contributorId":342622,"corporation":false,"usgs":false,"family":"Brown","given":"Michelle","email":"","middleInitial":"L.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":910228,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Canham, Charles D.","contributorId":342623,"corporation":false,"usgs":false,"family":"Canham","given":"Charles D.","affiliations":[{"id":36248,"text":"Cary Institute of Ecosystem Studies","active":true,"usgs":false}],"preferred":false,"id":910229,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buchholz, Thomas","contributorId":342627,"corporation":false,"usgs":false,"family":"Buchholz","given":"Thomas","email":"","affiliations":[{"id":81895,"text":"Spatial Informatics 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,{"id":70251990,"text":"70251990 - 2024 - Lake water temperature modeling in an era of climate change: Data sources, models, and future prospects","interactions":[],"lastModifiedDate":"2024-03-11T12:12:03.22485","indexId":"70251990","displayToPublicDate":"2024-02-11T07:10:38","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17172,"text":"Review of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Lake water temperature modeling in an era of climate change: Data sources, models, and future prospects","docAbstract":"<div class=\"article-section__content en main\"><p>Lake thermal dynamics have been considerably impacted by climate change, with potential adverse effects on aquatic ecosystems. To better understand the potential impacts of future climate change on lake thermal dynamics and related processes, the use of mathematical models is essential. In this study, we provide a comprehensive review of lake water temperature modeling. We begin by discussing the physical concepts that regulate thermal dynamics in lakes, which serve as a primer for the description of process-based models. We then provide an overview of different sources of observational water temperature data, including in situ monitoring and satellite Earth observations, used in the field of lake water temperature modeling. We classify and review the various lake water temperature models available, and then discuss model performance, including commonly used performance metrics and optimization methods. Finally, we analyze emerging modeling approaches, including forecasting, digital twins, combining process-based modeling with deep learning, evaluating structural model differences through ensemble modeling, adapted water management, and coupling of climate and lake models. This review is aimed at a diverse group of professionals working in the fields of limnology and hydrology, including ecologists, biologists, physicists, engineers, and remote sensing researchers from the private and public sectors who are interested in understanding lake water temperature modeling and its potential applications.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023RG000816","usgsCitation":"Piccolroaz, S., Zhu, S., Ladwig, R., Carrea, L., Oliver, S.K., Piotrowski, A., Ptak, M., Shinohara, R., Sojka, M., Woolway, R., and Zhu, D.Z., 2024, Lake water temperature modeling in an era of climate change: Data sources, models, and future prospects: Review of Geophysics, v. 62, no. 1, e2023RG000816, 52 p., https://doi.org/10.1029/2023RG000816.","productDescription":"e2023RG000816, 52 p.","ipdsId":"IP-158410","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":440458,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023rg000816","text":"Publisher Index Page"},{"id":426488,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-02-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Piccolroaz, Sebastiano","contributorId":297277,"corporation":false,"usgs":false,"family":"Piccolroaz","given":"Sebastiano","affiliations":[{"id":64342,"text":"University of Trento, Department of Civil, Environmental and Mechanical Engineering, Trento, Italy","active":true,"usgs":false}],"preferred":false,"id":896231,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhu, Senlin","contributorId":334671,"corporation":false,"usgs":false,"family":"Zhu","given":"Senlin","email":"","affiliations":[{"id":80205,"text":"Yangzhou University","active":true,"usgs":false}],"preferred":false,"id":896232,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ladwig, Robert","contributorId":265278,"corporation":false,"usgs":false,"family":"Ladwig","given":"Robert","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":896233,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carrea, Laura","contributorId":334672,"corporation":false,"usgs":false,"family":"Carrea","given":"Laura","email":"","affiliations":[{"id":27392,"text":"University of Reading","active":true,"usgs":false}],"preferred":false,"id":896234,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oliver, Samantha K. 0000-0001-5668-1165","orcid":"https://orcid.org/0000-0001-5668-1165","contributorId":211886,"corporation":false,"usgs":true,"family":"Oliver","given":"Samantha","email":"","middleInitial":"K.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896235,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Piotrowski, Adam","contributorId":334673,"corporation":false,"usgs":false,"family":"Piotrowski","given":"Adam","affiliations":[{"id":55688,"text":"Polish Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":896236,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ptak, Mariusz","contributorId":334674,"corporation":false,"usgs":false,"family":"Ptak","given":"Mariusz","email":"","affiliations":[{"id":80207,"text":"Adam Mickiewicz University","active":true,"usgs":false}],"preferred":false,"id":896237,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shinohara, Ryuichiro","contributorId":334675,"corporation":false,"usgs":false,"family":"Shinohara","given":"Ryuichiro","email":"","affiliations":[{"id":80209,"text":"National Institute for Environmental Studies, Tsukuba, Japan","active":true,"usgs":false}],"preferred":false,"id":896238,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sojka, Mariusz","contributorId":334676,"corporation":false,"usgs":false,"family":"Sojka","given":"Mariusz","email":"","affiliations":[{"id":80210,"text":"Poznan University of Life Sciences, Poland","active":true,"usgs":false}],"preferred":false,"id":896239,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Woolway, Richard","contributorId":334677,"corporation":false,"usgs":false,"family":"Woolway","given":"Richard","email":"","affiliations":[{"id":78631,"text":"Bangor University, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":896240,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zhu, David Z.","contributorId":203996,"corporation":false,"usgs":false,"family":"Zhu","given":"David","email":"","middleInitial":"Z.","affiliations":[{"id":36793,"text":"Department of Civil and Environmental Engineering, University of Alberta","active":true,"usgs":false}],"preferred":false,"id":896241,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70252525,"text":"70252525 - 2024 - Climate change will impact surface water extents and dynamics across the central United States","interactions":[],"lastModifiedDate":"2024-03-27T11:48:37.441998","indexId":"70252525","displayToPublicDate":"2024-02-11T06:47:30","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5053,"text":"Earth's Future","active":true,"publicationSubtype":{"id":10}},"title":"Climate change will impact surface water extents and dynamics across the central United States","docAbstract":"<div class=\"article-section__content en main\"><p>Climate change is projected to impact river, lake, and wetland hydrology, with global implications for the condition and productivity of aquatic ecosystems. We integrated Sentinel-1 and Sentinel-2 based algorithms to track monthly surface water extent (2017–2021) for 32 sites across the central United States (U.S.). Median surface water extent was highly variable across sites, ranging from 3.9% to 45.1% of a site. To account for landscape-based differences (e.g., water storage capacity, land use) in the response of surface water extents to meteorological conditions, individual statistical models were developed for each site. Future changes to climate were defined as the difference between 2006–2025 and 2061–2080 using MACA-CMIP5 (MACAv2-METDATA) Global Circulation Models. Time series of climate change adjusted surface water extents were projected. Annually, 19 of the 32 sites under RCP4.5 and 22 of the 32 sites under RCP8.5 were projected to show an average decline in surface water extent, with drying most consistent across the southeast central, southwest central, and midwest central U.S. Projected declines under surface water dry conditions at these sites suggest greater impacts of drought events are likely in the future. Projected changes were seasonally variable, with the greatest decline in surface water extent expected in summer and fall seasons. In contrast, many north central sites showed a projected increase in surface water in most seasons, relative to the 2017–2021 period, likely attributable to projected increases in winter and spring precipitation exceeding increases in projected temperature.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023EF004106","usgsCitation":"Vanderhoof, M.K., Christensen, J.R., Alexander, L., Lane, C., and Golden, H.E., 2024, Climate change will impact surface water extents and dynamics across the central United States: Earth's Future, v. 12, no. 2, e2023EF004106, 31 p., https://doi.org/10.1029/2023EF004106.","productDescription":"e2023EF004106, 31 p.","ipdsId":"IP-156206","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":440460,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023ef004106","text":"Publisher Index Page"},{"id":435043,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UOACNH","text":"USGS data release","linkHelpText":"Data release for climate change impacts on surface water extents across the central United States"},{"id":427133,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-02-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Vanderhoof, Melanie K. 0000-0002-0101-5533 mvanderhoof@usgs.gov","orcid":"https://orcid.org/0000-0002-0101-5533","contributorId":168395,"corporation":false,"usgs":true,"family":"Vanderhoof","given":"Melanie","email":"mvanderhoof@usgs.gov","middleInitial":"K.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":897414,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christensen, Jay R.","contributorId":238115,"corporation":false,"usgs":false,"family":"Christensen","given":"Jay","middleInitial":"R.","affiliations":[],"preferred":false,"id":897415,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alexander, Laurie C.","contributorId":138989,"corporation":false,"usgs":false,"family":"Alexander","given":"Laurie C.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":897416,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lane, Charles R.","contributorId":138991,"corporation":false,"usgs":false,"family":"Lane","given":"Charles R.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":897417,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Golden, Heather E.","contributorId":202423,"corporation":false,"usgs":false,"family":"Golden","given":"Heather","email":"","middleInitial":"E.","affiliations":[{"id":36429,"text":"USEPA ORD","active":true,"usgs":false}],"preferred":false,"id":897418,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70251724,"text":"70251724 - 2024 - Trajectories and tipping points of piñon–juniper woodlands after fire and thinning","interactions":[],"lastModifiedDate":"2024-02-26T12:25:04.03443","indexId":"70251724","displayToPublicDate":"2024-02-11T06:22:27","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Trajectories and tipping points of piñon–juniper woodlands after fire and thinning","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Piñon–juniper (PJ) woodlands are a dominant community type across the Intermountain West, comprising over a million acres and experiencing critical effects from increasing wildfire. Large PJ mortality and regeneration failure after catastrophic wildfire have elevated concerns about the long-term viability of PJ woodlands. Thinning is increasingly used to safeguard forests from fire and in an attempt to increase climate resilience. We have only a limited understanding of how fire and thinning will affect the structure and function of PJ ecosystems. Here, we examined vegetation structure, microclimate conditions, and PJ regeneration dynamics following ~20 years post-fire and thinning treatments. We found that burned areas had undergone a state shift that did not show signs of returning to their previous state. This shift was characterized by (1) distinct plant community composition dominated by grasses; (2) a lack of PJ recruitment; (3) a decrease in the sizes of interspaces in between plants; (4) lower abundance of late successional biological soil crusts; (5) lower mean and minimum daily soil moisture values; (6) lower minimum daily vapor pressure deficit; and (7) higher photosynthetically active radiation. Thinning created distinct plant communities and served as an intermediate between intact and burned communities. More intensive thinning decreased PJ recruitment and late successional biocrust cover. Our results indicate that fire has the potential to create drier and more stressful microsite conditions, and that, in the absence of active management following fire, there may be shifts to persistent ecological states dominated by grasses. Additionally, more intensive thinning had a larger impact on community structure and recruitment than less intensive thinning, suggesting that careful consideration of goals could help avoid unintended consequences. While our results indicate the vulnerability of PJ ecosystems to fire, they also highlight management actions that could be adapted to create conditions that promote PJ re-establishment.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.17149","usgsCitation":"Phillips, M.L., Lauria, C.M., Spector, T., Bradford, J., Gehring, C.A., Osborne, B., Howell, A.J., Grote, E.E., Rondeau, R., Trimber, G., Robinson, B., and Reed, S., 2024, Trajectories and tipping points of piñon–juniper woodlands after fire and thinning: Global Change Biology, v. 30, no. 2, e17149, 16 p., https://doi.org/10.1111/gcb.17149.","productDescription":"e17149, 16 p.","ipdsId":"IP-157090","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":425978,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Mesa Verde National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -108.78575335177953,\n              37.44634705129562\n            ],\n            [\n              -108.78575335177953,\n              37.04600325525969\n            ],\n            [\n              -108.1040772816418,\n              37.04600325525969\n            ],\n            [\n              -108.1040772816418,\n              37.44634705129562\n            ],\n            [\n              -108.78575335177953,\n              37.44634705129562\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"30","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-02-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Phillips, Michala Lee 0000-0001-7005-8740","orcid":"https://orcid.org/0000-0001-7005-8740","contributorId":245186,"corporation":false,"usgs":true,"family":"Phillips","given":"Michala","email":"","middleInitial":"Lee","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":895376,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lauria, Cara Marie 0000-0001-8914-8041","orcid":"https://orcid.org/0000-0001-8914-8041","contributorId":271066,"corporation":false,"usgs":true,"family":"Lauria","given":"Cara","email":"","middleInitial":"Marie","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":895377,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spector, Tova","contributorId":334361,"corporation":false,"usgs":false,"family":"Spector","given":"Tova","email":"","affiliations":[{"id":80118,"text":"US Department of Agriculture, Forest Service","active":true,"usgs":false}],"preferred":false,"id":895378,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":895379,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gehring, Catherine A.","contributorId":189076,"corporation":false,"usgs":false,"family":"Gehring","given":"Catherine","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":895380,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Osborne, Brooke B.","contributorId":150739,"corporation":false,"usgs":false,"family":"Osborne","given":"Brooke B.","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":895381,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Howell, Armin J. 0000-0003-1243-0238 ahowell@usgs.gov","orcid":"https://orcid.org/0000-0003-1243-0238","contributorId":196798,"corporation":false,"usgs":true,"family":"Howell","given":"Armin","email":"ahowell@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":895382,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Grote, Edmund E. 0000-0002-9103-9482 ed_grote@usgs.gov","orcid":"https://orcid.org/0000-0002-9103-9482","contributorId":4271,"corporation":false,"usgs":true,"family":"Grote","given":"Edmund","email":"ed_grote@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":895383,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rondeau, Renee","contributorId":259889,"corporation":false,"usgs":false,"family":"Rondeau","given":"Renee","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":895384,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Trimber, Gillian","contributorId":334362,"corporation":false,"usgs":false,"family":"Trimber","given":"Gillian","email":"","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":895385,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Robinson, Benjamin","contributorId":334363,"corporation":false,"usgs":false,"family":"Robinson","given":"Benjamin","email":"","affiliations":[{"id":80121,"text":"Ute Mountain Ute Tribe","active":true,"usgs":false}],"preferred":false,"id":895386,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":205372,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":895387,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70256423,"text":"70256423 - 2024 - Survey and monitoring methods for furbearers","interactions":[],"lastModifiedDate":"2024-08-14T14:34:44.390291","indexId":"70256423","displayToPublicDate":"2024-02-09T09:29:19","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"15","title":"Survey and monitoring methods for furbearers","docAbstract":"There is a continuing need to assess the state (distribution and abundance) of furbearer populations throughout North America for state and provincial agencies to properly manage furbearers. With an expanding human population and continued changes in land-use practices, habitat loss and fragmentation, declines in natural prey, increases in disease transmission from domestic species, and increased competition with other species, many wildlife agencies have placed the management and conservation of some furbearer species as a top priority. Paramount to making informed decisions regarding management of furbearer populations is accurate information on their current distribution and population status.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Wild furbearer management and conservation in North America","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Wildlife Ecology Institute","doi":"10.59438/QXDE4827","usgsCitation":"Gese, E.M., Terletzky, P., Cooley, H.S., Knowlton, F.F., and Lonsinger, R.C., 2024, Survey and monitoring methods for furbearers, chap. 15 <i>of</i> Wild furbearer management and conservation in North America, p. 15-1-15-44, https://doi.org/10.59438/QXDE4827.","productDescription":"44 p.","startPage":"15-1","endPage":"15-44","ipdsId":"IP-151850","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":432653,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Hiller, Tim L.","contributorId":200448,"corporation":false,"usgs":false,"family":"Hiller","given":"Tim","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":909843,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Applegate, Roger D.","contributorId":64579,"corporation":false,"usgs":true,"family":"Applegate","given":"Roger","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":909844,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Bluett, Robert D.","contributorId":274290,"corporation":false,"usgs":false,"family":"Bluett","given":"Robert","email":"","middleInitial":"D.","affiliations":[{"id":40911,"text":"Illinois DNR","active":true,"usgs":false}],"preferred":false,"id":909845,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Frey, S. Nicki","contributorId":342232,"corporation":false,"usgs":false,"family":"Frey","given":"S.","email":"","middleInitial":"Nicki","affiliations":[],"preferred":false,"id":909846,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Gese, Eric M","contributorId":222151,"corporation":false,"usgs":false,"family":"Gese","given":"Eric","email":"","middleInitial":"M","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":909847,"contributorType":{"id":2,"text":"Editors"},"rank":5},{"text":"Organ, John F. 0000-0002-0959-0639 jorgan@usgs.gov","orcid":"https://orcid.org/0000-0002-0959-0639","contributorId":189047,"corporation":false,"usgs":true,"family":"Organ","given":"John","email":"jorgan@usgs.gov","middleInitial":"F.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":909848,"contributorType":{"id":2,"text":"Editors"},"rank":6}],"authors":[{"text":"Gese, Eric M","contributorId":222151,"corporation":false,"usgs":false,"family":"Gese","given":"Eric","email":"","middleInitial":"M","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":907325,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Terletzky, Patricia","contributorId":199062,"corporation":false,"usgs":false,"family":"Terletzky","given":"Patricia","email":"","affiliations":[],"preferred":false,"id":907326,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cooley, Hilary S.","contributorId":340521,"corporation":false,"usgs":false,"family":"Cooley","given":"Hilary","email":"","middleInitial":"S.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":907327,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Knowlton, Frederick F.","contributorId":340522,"corporation":false,"usgs":false,"family":"Knowlton","given":"Frederick","email":"","middleInitial":"F.","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":907328,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lonsinger, Robert Charles 0000-0002-1040-7299","orcid":"https://orcid.org/0000-0002-1040-7299","contributorId":340524,"corporation":false,"usgs":true,"family":"Lonsinger","given":"Robert","email":"","middleInitial":"Charles","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907329,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70251450,"text":"70251450 - 2024 - Uranium redox and deposition transitions embedded in deep-time geochemical models and mineral chemistry networks","interactions":[],"lastModifiedDate":"2024-02-13T15:19:11.838145","indexId":"70251450","displayToPublicDate":"2024-02-09T09:07:16","publicationYear":"2024","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":"Uranium redox and deposition transitions embedded in deep-time geochemical models and mineral chemistry networks","docAbstract":"<p><span>Uranium (U) is an important global energy resource and a redox sensitive trace element that reflects changing environmental conditions and geochemical cycling. The redox evolution of U mineral chemistry can be interrogated to understand the formation and distribution of U deposits and the redox processes involved in U geochemistry throughout Earth history. In this study, geochemical modeling using thermodynamic data, and mineral chemistry network analysis are used to investigate U geochemistry and deposition through time. The number of U</span><sup>6+</sup><span>&nbsp;mineral localities surpasses the number of U</span><sup>4+</sup><span>&nbsp;mineral localities in the Paleoproterozoic. Moreover, the number of sedimentary U</span><sup>6+</sup><span>&nbsp;mineral localities increases earlier in the Phanerozoic than the number of U</span><sup>4+</sup><span>&nbsp;sedimentary mineral localities, likely due to the necessity of sufficient sedimentary organic matter to reduce U</span><sup>6+</sup><span>–U</span><sup>4+</sup><span>. Indeed, modeling calculations indicate that increased oxidative weathering due to surface oxygenation limited U</span><sup>4+</sup><span>&nbsp;uraninite (UO</span><sub>2</sub><span>) formation from weathered granite and basalt. Louvain network community detection shows that U</span><sup>6+</sup><span>&nbsp;forms minerals with many more shared elements and redox states than U</span><sup>4+</sup><span>. The range of weighted Mineral Element Electronegativity Coefficient of Variation (wMEE</span><sub>CV</sub><span>) values of U</span><sup>6+</sup><span>&nbsp;minerals increases through time, particularly during the Phanerozoic. Conversely, the range of wMEE</span><sub>CV</sub><span>&nbsp;values of U</span><sup>4+</sup><span>&nbsp;minerals is consistent through time due to the relative abundance of uraninite, coffinite, and brannerite. The late oxidation and formation of U</span><sup>6+</sup><span>&nbsp;minerals compared to S</span><sup>6+</sup><span>&nbsp;minerals illustrates the importance of the development of land plants, organic matter deposition, and redox-controlled U deposition from ground water in continental sediments during this time-period.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023GC011267","usgsCitation":"Moore, E.K., Li, J., Zhang, A., Hao, J., Morrison, S.M., Hummer, D., and Yee, N., 2024, Uranium redox and deposition transitions embedded in deep-time geochemical models and mineral chemistry networks: Geochemistry, Geophysics, Geosystems, v. 25, no. 2, e2023GC011267, 16 p., https://doi.org/10.1029/2023GC011267.","productDescription":"e2023GC011267, 16 p.","ipdsId":"IP-157203","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":440464,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023gc011267","text":"Publisher Index Page"},{"id":425607,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Elisha Kelly 0000-0002-9750-7769","orcid":"https://orcid.org/0000-0002-9750-7769","contributorId":334043,"corporation":false,"usgs":true,"family":"Moore","given":"Elisha","email":"","middleInitial":"Kelly","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":894605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, J.","contributorId":189495,"corporation":false,"usgs":false,"family":"Li","given":"J.","email":"","affiliations":[],"preferred":false,"id":894606,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Ao","contributorId":334045,"corporation":false,"usgs":false,"family":"Zhang","given":"Ao","email":"","affiliations":[{"id":80053,"text":"Deep Space Exploration Laboratory/Chinese Academy of Sciences Key Laboratory of Crust-Mantle Materials and Environments, University of Science and Technology of China, Hefei 230026, China","active":true,"usgs":false}],"preferred":false,"id":894607,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hao, Jihua","contributorId":334047,"corporation":false,"usgs":false,"family":"Hao","given":"Jihua","email":"","affiliations":[{"id":80053,"text":"Deep Space Exploration Laboratory/Chinese Academy of Sciences Key Laboratory of Crust-Mantle Materials and Environments, University of Science and Technology of China, Hefei 230026, China","active":true,"usgs":false}],"preferred":false,"id":894608,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morrison, Shaunna M.","contributorId":261814,"corporation":false,"usgs":false,"family":"Morrison","given":"Shaunna","email":"","middleInitial":"M.","affiliations":[{"id":53026,"text":"Carnegie Institute for Science","active":true,"usgs":false}],"preferred":false,"id":894609,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hummer, Daniel","contributorId":334048,"corporation":false,"usgs":false,"family":"Hummer","given":"Daniel","email":"","affiliations":[{"id":80056,"text":"School of Earth Systems and Sustainability, Southern Illinois University, Carbondale, Il, United States","active":true,"usgs":false}],"preferred":false,"id":894610,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yee, Nathan 0000-0002-1023-5271","orcid":"https://orcid.org/0000-0002-1023-5271","contributorId":245952,"corporation":false,"usgs":false,"family":"Yee","given":"Nathan","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":894611,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70251767,"text":"70251767 - 2024 - Quantitative microbial risk assessment for ingestion of antibiotic resistance genes from private wells contaminated by human and livestock fecal sources","interactions":[],"lastModifiedDate":"2024-04-10T15:59:44.068078","indexId":"70251767","displayToPublicDate":"2024-02-09T08:51:14","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":850,"text":"Applied and Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Quantitative microbial risk assessment for ingestion of antibiotic resistance genes from private wells contaminated by human and livestock fecal sources","docAbstract":"<p><span>We used quantitative microbial risk assessment to estimate ingestion risk for&nbsp;</span><i>intI1</i><span>,&nbsp;</span><i>erm</i><span>(B),&nbsp;</span><i>sul1</i><span>,&nbsp;</span><i>tet</i><span>(A),&nbsp;</span><i>tet</i><span>(W), and&nbsp;</span><i>tet</i><span>(X) in private wells contaminated by human and/or livestock feces. Genes were quantified with five human-specific and six bovine-specific microbial source-tracking (MST) markers in 138 well-water samples from a rural Wisconsin county. Daily ingestion risk (probability of swallowing ≥1 gene) was based on daily water consumption and a Poisson exposure model. Calculations were stratified by MST source and soil depth over the aquifer where wells were drilled. Relative ingestion risk was estimated using wells with no MST detections and &gt;6.1 m soil depth as a referent category. Daily ingestion risk varied from 0 to 8.8 × 10</span><sup>−1</sup><span>&nbsp;by gene and fecal source (i.e., human or bovine). The estimated number of residents ingesting target genes from private wells varied from 910 (</span><i>tet</i><span>(A)) to 1,500 (</span><i>intI1</i><span>&nbsp;and&nbsp;</span><i>tet</i><span>(X)) per day out of 12,000 total. Relative risk of&nbsp;</span><i>tet</i><span>(A) ingestion was significantly higher in wells with MST markers detected, including wells with ≤6.1 m soil depth contaminated by bovine markers (2.2 [90% CI: 1.1–4.7]), wells with &gt;6.1 m soil depth contaminated by bovine markers (1.8 [1.002–3.9]), and wells with ≤6.1 m soil depth contaminated by bovine and human markers simultaneously (3.1 [1.7–6.5]). Antibiotic resistance genes (ARGs) were not necessarily present in viable microorganisms, and ingestion is not directly associated with infection. However, results illustrate relative contributions of human and livestock fecal sources to ARG exposure and highlight rural groundwater as a significant point of exposure.</span></p>","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/aem.01629-23","usgsCitation":"Burch, T., Stokdyk, J.P., Durso, L., and Borchardt, M.A., 2024, Quantitative microbial risk assessment for ingestion of antibiotic resistance genes from private wells contaminated by human and livestock fecal sources: Applied and Environmental Microbiology, v. 90, no. 3, e01629-23, 17 p., https://doi.org/10.1128/aem.01629-23.","productDescription":"e01629-23, 17 p.","ipdsId":"IP-157731","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":440465,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10952444","text":"External Repository"},{"id":426052,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","county":"Kewaunee County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-87.3761,44.6754],[-87.3774,44.674],[-87.381,44.6636],[-87.3858,44.6545],[-87.3911,44.6473],[-87.3944,44.6442],[-87.3966,44.6378],[-87.4045,44.6302],[-87.4085,44.6257],[-87.4137,44.6235],[-87.4223,44.6145],[-87.4263,44.61],[-87.4341,44.6056],[-87.442,44.6011],[-87.4428,44.5934],[-87.4468,44.5893],[-87.4502,44.5816],[-87.4544,44.5721],[-87.4604,44.5622],[-87.4664,44.555],[-87.4738,44.5455],[-87.476,44.5369],[-87.4761,44.5305],[-87.4796,44.5223],[-87.4851,44.5106],[-87.488,44.4974],[-87.4959,44.4706],[-87.5046,44.4575],[-87.5041,44.4534],[-87.5062,44.4457],[-87.5064,44.4375],[-87.5074,44.4279],[-87.5121,44.4188],[-87.5163,44.408],[-87.5191,44.3998],[-87.5212,44.3907],[-87.5209,44.3816],[-87.5218,44.3734],[-87.5232,44.3688],[-87.5279,44.3602],[-87.5351,44.3521],[-87.5386,44.3422],[-87.5368,44.338],[-87.5408,44.3331],[-87.5454,44.3277],[-87.6445,44.3273],[-87.7665,44.3271],[-87.7655,44.4146],[-87.7646,44.5017],[-87.7643,44.5888],[-87.7628,44.6477],[-87.7582,44.6522],[-87.7555,44.6558],[-87.7547,44.6608],[-87.7507,44.6667],[-87.7435,44.673],[-87.7389,44.6775],[-87.6413,44.6757],[-87.5193,44.6753],[-87.4384,44.6754],[-87.3973,44.6753],[-87.3761,44.6754]]]},\"properties\":{\"name\":\"Kewaunee\",\"state\":\"WI\"}}]}","volume":"90","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Burch, Tucker R.","contributorId":195801,"corporation":false,"usgs":false,"family":"Burch","given":"Tucker R.","affiliations":[],"preferred":false,"id":895475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stokdyk, Joel P. 0000-0003-2887-6277 jstokdyk@usgs.gov","orcid":"https://orcid.org/0000-0003-2887-6277","contributorId":193848,"corporation":false,"usgs":true,"family":"Stokdyk","given":"Joel","email":"jstokdyk@usgs.gov","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":895476,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Durso, Lisa","contributorId":300169,"corporation":false,"usgs":false,"family":"Durso","given":"Lisa","email":"","affiliations":[],"preferred":false,"id":895477,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Borchardt, Mark A. 0000-0002-6471-2627","orcid":"https://orcid.org/0000-0002-6471-2627","contributorId":151033,"corporation":false,"usgs":false,"family":"Borchardt","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":895478,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70264173,"text":"70264173 - 2024 - Current status of the community sensor model standard for the generation of planetary digital terrain models","interactions":[],"lastModifiedDate":"2025-03-07T15:31:29.14539","indexId":"70264173","displayToPublicDate":"2024-02-09T08:25:31","publicationYear":"2024","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":"Current status of the community sensor model standard for the generation of planetary digital terrain models","docAbstract":"<p><span>The creation of accurate elevation models (topography) from stereo images are critical for a large variety of geospatial activities, including the production of digital orthomosaics, change detection, landing site analysis, geologic mapping, rover traverse planning, and spectral analysis. The United Stated Geological Survey, Astrogeology Science Center, continues to transition the supported planetary sensor models to the Community Sensor Model (CSM) standard. This paper describes the current state of use for this photogrammetric standard, supported sensor model types, and qualitatively compares derived topography between SOCET SET and SOCET GXP (</span><sup>®</sup><span>BAE Systems) using HiRISE stereo images of Mars. Our transition to the CSM standard will ensure an uninterrupted capability to make these valuable products for Mars and many other extraterrestrial planets and moons.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs16040648","usgsCitation":"Hare, T.M., Kirk, R.L., Bland, M.T., Galuszka, D.M., Laura, J., Mayer, D., Redding, B.L., and Wheeler, B.H., 2024, Current status of the community sensor model standard for the generation of planetary digital terrain models: Remote Sensing, v. 16, no. 4, 648, 16 p., https://doi.org/10.3390/rs16040648.","productDescription":"648, 16 p.","ipdsId":"IP-176612","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":487730,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs16040648","text":"Publisher Index Page"},{"id":483054,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Hare, Trent M. 0000-0001-8842-389X thare@usgs.gov","orcid":"https://orcid.org/0000-0001-8842-389X","contributorId":3188,"corporation":false,"usgs":true,"family":"Hare","given":"Trent","email":"thare@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":930003,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":930004,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bland, Michael T. 0000-0001-5543-1519 mbland@usgs.gov","orcid":"https://orcid.org/0000-0001-5543-1519","contributorId":146287,"corporation":false,"usgs":true,"family":"Bland","given":"Michael","email":"mbland@usgs.gov","middleInitial":"T.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":930005,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Galuszka, Donna M. 0000-0003-1870-1182 dgaluszka@usgs.gov","orcid":"https://orcid.org/0000-0003-1870-1182","contributorId":3186,"corporation":false,"usgs":true,"family":"Galuszka","given":"Donna","email":"dgaluszka@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":930006,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Laura, Jason 0000-0002-1377-8159","orcid":"https://orcid.org/0000-0002-1377-8159","contributorId":222124,"corporation":false,"usgs":true,"family":"Laura","given":"Jason","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":930007,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mayer, David 0000-0001-8351-1807","orcid":"https://orcid.org/0000-0001-8351-1807","contributorId":215429,"corporation":false,"usgs":true,"family":"Mayer","given":"David","email":"","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":930008,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Redding, Bonnie L. 0000-0001-8178-1467 bredding@usgs.gov","orcid":"https://orcid.org/0000-0001-8178-1467","contributorId":4798,"corporation":false,"usgs":true,"family":"Redding","given":"Bonnie","email":"bredding@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":930009,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wheeler, Benjamin H 0000-0001-7070-9064 bwheeler@usgs.gov","orcid":"https://orcid.org/0000-0001-7070-9064","contributorId":290755,"corporation":false,"usgs":true,"family":"Wheeler","given":"Benjamin","email":"bwheeler@usgs.gov","middleInitial":"H","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":930010,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70252723,"text":"70252723 - 2024 - Geoelectric evidence for a wide spatial footprint of active extension in central Colorado","interactions":[],"lastModifiedDate":"2024-04-03T12:11:52.169055","indexId":"70252723","displayToPublicDate":"2024-02-09T07:09:44","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Geoelectric evidence for a wide spatial footprint of active extension in central Colorado","docAbstract":"<div id=\"142602088\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>Three-dimensional magnetotelluric (MT) imaging in central Colorado reveals a set of north-striking high-conductivity tracks at lower-crustal (50–20 km) depths, with conductive finger-like structures rising off these tracks into the middle crust (20–5 km depth). We interpret these features to represent saline aqueous fluids and partial melt that are products of active extensional tectonomagmatism. These conductors are distributed over a wider region than the narrow corridor along which Rio Grande rift structures are traditionally mapped at the surface, and they consequently demarcate regions of the lower crust where accommodation of bulk extensional strain has concentrated conductive phases. Our observations reveal limitations in existing models of Rio Grande rift activity and may reflect unrecognized spatiotemporal variations in rift system evolution globally.</p></div>","language":"English","publisher":"Geological Society of America","doi":"10.1130/G51517.1","usgsCitation":"Murphy, B., Caine, J., Bedrosian, P.A., and Crosbie, K.J., 2024, Geoelectric evidence for a wide spatial footprint of active extension in central Colorado: Geology, v. 52, no. 4, p. 314-318, https://doi.org/10.1130/G51517.1.","productDescription":"5 p.","startPage":"314","endPage":"318","ipdsId":"IP-159817","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":440471,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g51517.1","text":"Publisher Index Page"},{"id":427348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -104.64600284520861,\n              40.91393032777182\n            ],\n            [\n              -107.63428409520837,\n              40.91393032777182\n            ],\n            [\n              -107.63428409520837,\n              38.273122524963895\n            ],\n            [\n              -104.64600284520861,\n              38.273122524963895\n            ],\n            [\n              -104.64600284520861,\n              40.91393032777182\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"52","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Murphy, Benjamin S. 0000-0001-7636-3711","orcid":"https://orcid.org/0000-0001-7636-3711","contributorId":221483,"corporation":false,"usgs":false,"family":"Murphy","given":"Benjamin S.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":897994,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caine, Jonathan Saul 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":199295,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan Saul","email":"jscaine@usgs.gov","affiliations":[],"preferred":true,"id":897995,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":897996,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crosbie, Kayla J 0000-0002-2724-1264","orcid":"https://orcid.org/0000-0002-2724-1264","contributorId":289565,"corporation":false,"usgs":true,"family":"Crosbie","given":"Kayla","email":"","middleInitial":"J","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":897997,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70252544,"text":"70252544 - 2024 - The noise is the signal: Spatio-temporal variability of production and productivity in high elevation meadows in the Sierra Nevada mountain range of North America","interactions":[],"lastModifiedDate":"2024-03-28T12:07:04.982867","indexId":"70252544","displayToPublicDate":"2024-02-09T07:01:55","publicationYear":"2024","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":"The noise is the signal: Spatio-temporal variability of production and productivity in high elevation meadows in the Sierra Nevada mountain range of North America","docAbstract":"<div class=\"JournalAbstract\"><p>There are expectations that increasing temperatures will lead to significant changes in structure and function of montane meadows, including greater water stress on vegetation and lowered vegetation production and productivity. We evaluated spatio-temporal dynamics in production and productivity in meadows within the Sierra Nevada mountain range of North America by: (1) compiling Landsat satellite data for the Normalized Difference Vegetation Index (NDVI) across a 37-year period (1985–2021) for 8,095 meadows &gt;2,500 m elevation; then, (2) used state-space models, changepoint analysis, geographically-weighted regression (GWR), and distance-decay analysis (DDA) to: (a) identify meadows with decreasing, increasing or no trends for NDVI; (b) detect meadows with abrupt changes (changepoints) in NDVI; and (c) evaluate variation along gradients of latitude, longitude, and elevation for eight indices of temporal dynamics in annual production (mean growing season NDVI; MGS) and productivity (rate of spring greenup; RSP). Meadows with no long-term change or evidence of increasing NDVI were 2.6x more frequent as those with decreasing NDVI (72% vs. 28%). Abrupt changes in NDVI were detected in 48% of the meadows; they occurred in every year of the study and with no indication that their frequency had changed over time. The intermixing of meadows with different temporal dynamics was a consistent pattern for monthly NDVI and, especially, the eight annual indices of MGS and RSP. The DDA showed temporal dynamics in pairs of meadow within a few 100 m of each other were often as different as those hundreds of kilometers apart. Our findings point strongly toward a great diversity of temporal dynamics in meadow production and productivity in the SNV. The heterogeneity in spatial patterns indicated that production and productivity of meadow vegetation is being driven by interplay among climatic, physiographic and biotic factors at basin and meadow scales. Thus, when evaluating spatio-temporal dynamics in condition for many high elevation meadow systems, what might often be considered “noise” may provide greater insight than a “signal” embedded within a large amount of variability.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/fevo.2023.1184918","usgsCitation":"Klinger, R.C., Stephenson, T., Letchinger, J., Stephenson, L., and Jacobs, S., 2024, The noise is the signal: Spatio-temporal variability of production and productivity in high elevation meadows in the Sierra Nevada mountain range of North America: Frontiers in Ecology and Evolution, v. 11, 1184918, 20 p., https://doi.org/10.3389/fevo.2023.1184918.","productDescription":"1184918, 20 p.","ipdsId":"IP-156796","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":440474,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2023.1184918","text":"Publisher Index Page"},{"id":427206,"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              -121.10350441520194,\n              38.601995099035804\n            ],\n            [\n              -121.01561379020211,\n              38.18869466210313\n            ],\n            [\n              -120.66405129020202,\n              37.494623707506136\n            ],\n            [\n              -119.34569191520205,\n              36.26435974951541\n            ],\n            [\n              -118.81834816520208,\n              35.480956065849995\n            ],\n            [\n              -117.939441915202,\n              35.19416653711603\n            ],\n            [\n              -117.0605356652022,\n              35.90922757148013\n            ],\n            [\n              -118.11522316520217,\n              37.56432448608861\n            ],\n            [\n              -119.74119972770205,\n              38.944604717236984\n            ],\n            [\n              -120.79588722770202,\n              39.353560861492866\n            ],\n            [\n              -121.10350441520194,\n              38.601995099035804\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2024-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Klinger, Robert C. 0000-0003-3193-3199 rcklinger@usgs.gov","orcid":"https://orcid.org/0000-0003-3193-3199","contributorId":5395,"corporation":false,"usgs":true,"family":"Klinger","given":"Robert","email":"rcklinger@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":897462,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stephenson, Tom","contributorId":335094,"corporation":false,"usgs":false,"family":"Stephenson","given":"Tom","email":"","affiliations":[{"id":80306,"text":"California Department of Fish and Wildlife; former USGS volunteer","active":true,"usgs":false}],"preferred":false,"id":897463,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Letchinger, James","contributorId":335095,"corporation":false,"usgs":false,"family":"Letchinger","given":"James","email":"","affiliations":[{"id":63998,"text":"Former USGS volunteer","active":true,"usgs":false}],"preferred":false,"id":897464,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stephenson, Logan","contributorId":335096,"corporation":false,"usgs":false,"family":"Stephenson","given":"Logan","email":"","affiliations":[{"id":80306,"text":"California Department of Fish and Wildlife; former USGS volunteer","active":true,"usgs":false}],"preferred":false,"id":897465,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jacobs, Sarah","contributorId":335097,"corporation":false,"usgs":false,"family":"Jacobs","given":"Sarah","email":"","affiliations":[{"id":63998,"text":"Former USGS volunteer","active":true,"usgs":false}],"preferred":false,"id":897466,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70252598,"text":"70252598 - 2024 - The evolution of glandularity as a defense against herbivores in the tarweed clade","interactions":[],"lastModifiedDate":"2024-03-29T11:58:30.703822","indexId":"70252598","displayToPublicDate":"2024-02-09T06:57:40","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":724,"text":"American Journal of Botany","active":true,"publicationSubtype":{"id":10}},"title":"The evolution of glandularity as a defense against herbivores in the tarweed clade","docAbstract":"<h3 id=\"ajb216281-sec-0010-title\" class=\"article-section__sub-title section1\">Premise</h3><p>Glandular trichomes are implicated in direct and indirect defense of plants. However, the degree to which glandular and non-glandular trichomes have evolved as a consequence of herbivory remains unclear, because their heritability, their association with herbivore resistance, their trade-offs with one another, and their association with other functions are rarely quantified.</p><h3 id=\"ajb216281-sec-0020-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We conducted a phylogenetic comparison of trichomes and herbivore resistance against the generalist caterpillar,<span>&nbsp;</span><i>Heliothis virescens</i>, among tarweed species (Asteraceae: Madiinae) and a genetic correlation study comparing those same traits among maternal half-sibs of three tarweed species.</p><h3 id=\"ajb216281-sec-0030-title\" class=\"article-section__sub-title section1\">Results</h3><p>Within a tarweed species, we found no evidence that herbivore growth rate decreased on tarweed individuals or maternal sib groups with more glandularity or denser trichomes. However, tarweed species with more glandularity and fewer non-glandular trichomes resulted in slower-growing herbivores. Likewise, a trade-off between glandular and non-glandular trichomes was apparent among tarweed species, but not among individuals or sib groups within a species.</p><h3 id=\"ajb216281-sec-0040-title\" class=\"article-section__sub-title section1\">Conclusions</h3><p>Our results suggest that this key herbivore does not select for trichomes as a direct defense in tarweed species. However, trichomes differed substantially among species and likely affect herbivore pressure on those species. Our results demonstrate that trade-offs among plant traits, as well as inference on the function of those traits, can depend on scale.</p>","language":"English","publisher":"Wiley","doi":"10.1002/ajb2.16281","usgsCitation":"Pearse, I., LoPresti, E., Baldwin, B., and Krimmel, B., 2024, The evolution of glandularity as a defense against herbivores in the tarweed clade: American Journal of Botany, v. 111, no. 2, e16281, 13 p., https://doi.org/10.1002/ajb2.16281.","productDescription":"e16281, 13 p.","ipdsId":"IP-152916","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":498964,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ajb2.16281","text":"Publisher Index Page"},{"id":427236,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"111","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":211154,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":897660,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LoPresti, Eric","contributorId":208296,"corporation":false,"usgs":false,"family":"LoPresti","given":"Eric","email":"","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":897661,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baldwin, Bruce","contributorId":335203,"corporation":false,"usgs":false,"family":"Baldwin","given":"Bruce","email":"","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":897662,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krimmel, Billy","contributorId":208297,"corporation":false,"usgs":false,"family":"Krimmel","given":"Billy","email":"","affiliations":[{"id":37779,"text":"Restoration Landscaping Company","active":true,"usgs":false}],"preferred":false,"id":897663,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70251538,"text":"70251538 - 2024 - Multi-criteria decision approach for climate adaptation of cultural resources along the Atlantic coast of the southeastern United States: Application of AHP method","interactions":[],"lastModifiedDate":"2024-02-15T12:47:28.106579","indexId":"70251538","displayToPublicDate":"2024-02-09T06:46:44","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5474,"text":"Climate Risk Management","active":true,"publicationSubtype":{"id":10}},"title":"Multi-criteria decision approach for climate adaptation of cultural resources along the Atlantic coast of the southeastern United States: Application of AHP method","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif text-s\"><div id=\"ab005\" class=\"abstract author\"><div id=\"as005\"><p id=\"sp0005\">Prioritizing climate adaptation actions is often made difficult by stakeholders and decision-makers having multiple objectives, some of which may be competing. Transparent, transferable, and objective methods are needed to assess and weight different objectives for complex decisions with multiple interests. In this study, the Analytic Hierarchy Process (AHP) was used to examine priorities in managing cultural resources in the face of climate change at Cape Lookout National Seashore on the Atlantic coast of the southeastern United States. In this process, we conducted facilitated discussion sessions with the selected stakeholder representatives to elicit a comprehensive list of management objectives. Objectives were then merged into three categories: 1) Maximize retention of historic character and condition (HCC); 2) Foster heritage awareness (HA); and 3) Maximize financial benefits (FB). We facilitated two AHP exercise sessions, both individually and in groups, to seek consensus on the relative importance of the objectives. The AHP process created a space for stakeholders (government agencies and local citizens) to consider and present arguments that we used to contextualize their trade-offs between the objectives. The stakeholders' top priority was to maximize the HCC. This objective was prioritized more than HA and FB in the individual trade-off choices, while HA was given nearly equal priority to FB. The consensus priority vectors of two management objectives (HCC and HA) differ significantly from FB, but the difference between HCC and HA is slight and not statistically different. FB and HA had larger changes in consensus priority vectors among the three objectives relative to individual priority vectors. For HCC, the difference between individual and consensus priority vectors was the smallest and nearly equal. Moreover, very high levels of consistency were found in consensus priority trade-off discussions and AHP application. Our research highlights the advantage of using a two-step AHP process in climate adaptation planning of vulnerable resources to enhance robustness in decision making. Coupling this approach with future efforts to develop management priorities would help estimate indices to determine the order in which adaptation treatments are applied to vulnerable cultural resources.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.crm.2024.100587","usgsCitation":"Kibria, A.S., Seekamp, E., Xiao, X., Dalyander, S., and Eaton, M.J., 2024, Multi-criteria decision approach for climate adaptation of cultural resources along the Atlantic coast of the southeastern United States: Application of AHP method: Climate Risk Management, v. 43, 100587, 17 p., https://doi.org/10.1016/j.crm.2024.100587.","productDescription":"100587, 17 p.","ipdsId":"IP-154809","costCenters":[{"id":40926,"text":"Southeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":440477,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.crm.2024.100587","text":"Publisher Index Page"},{"id":425693,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kibria, Abu SMG","contributorId":334170,"corporation":false,"usgs":false,"family":"Kibria","given":"Abu","email":"","middleInitial":"SMG","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":894857,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seekamp, Erin","contributorId":304438,"corporation":false,"usgs":false,"family":"Seekamp","given":"Erin","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":894858,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xiao, Xiao","contributorId":212835,"corporation":false,"usgs":false,"family":"Xiao","given":"Xiao","email":"","affiliations":[{"id":13595,"text":"NCSU","active":true,"usgs":false}],"preferred":false,"id":894859,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dalyander, Soupy 0000-0001-9583-0872","orcid":"https://orcid.org/0000-0001-9583-0872","contributorId":221905,"corporation":false,"usgs":false,"family":"Dalyander","given":"Soupy","email":"","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":894860,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eaton, Mitchell J. 0000-0001-7324-6333","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":213526,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":894861,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70251746,"text":"70251746 - 2024 - Prioritizing river basins for nutrient studies","interactions":[],"lastModifiedDate":"2024-02-27T12:46:29.234636","indexId":"70251746","displayToPublicDate":"2024-02-09T06:43:35","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Prioritizing river basins for nutrient studies","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Increases in fluxes of nitrogen (N) and phosphorus (P) in the environment have led to negative impacts affecting drinking water, eutrophication, harmful algal blooms, climate change, and biodiversity&nbsp;loss. Because of the importance, scale, and complexity of these issues, it may be useful to consider methods for prioritizing nutrient&nbsp;research in representative drainage basins within a regional or national context. Two systematic, quantitative approaches were developed to (1) identify basins that geospatial data suggest are&nbsp;most impacted by nutrients and (2) identify basins that have the most variability in factors affecting nutrient sources and transport in order to prioritize basins for studies that seek to understand the key drivers of nutrient impacts. The “impact” approach relied on geospatial variables representing surface-water and groundwater nutrient concentrations, sources of N and P, and potential impacts on receptors (i.e., ecosystems and human health). The “variability” approach relied on geospatial variables representing surface-water nutrient concentrations, factors affecting sources and transport of nutrients, model accuracy, and potential receptor impacts. One hundred and sixty-three drainage basins throughout the contiguous United States were ranked nationally and within 18 hydrologic regions. Nationally, the top-ranked basins from the impact approach were concentrated in the Midwest, while those from the variability approach were dispersed across the nation. Regionally, the top-ranked basin selected by the two approaches differed in 15 of the 18 regions, with top-ranked basins selected by the variability approach having lower minimum concentrations and larger ranges in concentrations than top-ranked basins selected by the impact approach. The highest ranked basins identified using the variability approach may&nbsp;have advantages for exploring how landscape factors affect surface-water quality and how surface-water quality may affect ecosystems. In contrast, the impact approach prioritized basins in terms of human development and nutrient concentrations in both surface&nbsp;water and groundwater, thereby targeting areas where actions to reduce nutrient concentrations could have the largest effect on improving water availability and reducing ecosystem impacts.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10661-023-12266-7","usgsCitation":"Tesoriero, A.J., Robertson, D., Green, C., Bohlke, J., Harvey, J., and Qi, S.L., 2024, Prioritizing river basins for nutrient studies: Environmental Monitoring and Assessment, v. 196, 248, 21 p., https://doi.org/10.1007/s10661-023-12266-7.","productDescription":"248, 21 p.","ipdsId":"IP-150952","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":440479,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10661-023-12266-7","text":"Publisher Index Page"},{"id":426028,"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      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n                48.45\n          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,{"id":70251373,"text":"ofr20241001 - 2024 - Guide to per- and polyfluoroalkyl substances (PFAS) sampling within Natural Resource Damage Assessment and Restoration","interactions":[],"lastModifiedDate":"2024-02-08T23:47:27.760533","indexId":"ofr20241001","displayToPublicDate":"2024-02-08T15:32:58","publicationYear":"2024","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":"2024-1001","displayTitle":"Guide to Per- and Polyfluoroalkyl Substances (PFAS) Sampling within Natural Resource Damage Assessment and Restoration","title":"Guide to per- and polyfluoroalkyl substances (PFAS) sampling within Natural Resource Damage Assessment and Restoration","docAbstract":"<p>Per- and polyfluoroalkyl substances (PFAS) are synthetic chemicals with a nondegradable fluorinated carbon backbone that have been incorporated in countless industrial and commercial applications. Because PFAS are nondegradable, they have been detected in all environmental media, indicating extensive global contamination. The unique physiochemical properties of PFAS and their complex interactions with environmental matrices create a great challenge for researchers when selecting site-specific sample matrices, sampling logistics, various analytical methods, and data interpretation. The widespread contamination and the potential toxicity of PFAS to human and environmental health have resulted in the proposed designation of two commonly used PFAS as hazardous substances, which may prompt new requirements for reporting, regulatory action, and site cleanup. For researchers involved in natural resource damage assessment efforts, understanding the multifaceted dynamics of the environmental fate and transport of PFAS will be essential for appropriate sample collections, analyses, and data interpretation. This guide aims to provide fundamental concepts and considerations involved with environmental sampling for PFAS during site assessments.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241001","usgsCitation":"Pulster, E.L., Bowman, S.R., Keele, L., and Steevens, J., 2024, Guide to per- and polyfluoroalkyl substances (PFAS) sampling within Natural Resource Damage Assessment and Restoration: U.S. Geological Survey Open-File Report 2024–1001, 57 p., https://doi.org/10.3133/ofr20241001.","productDescription":"vi, 57 p.","numberOfPages":"68","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-154208","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":425487,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1001/images/"},{"id":425486,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1001/ofr20241001.XML"},{"id":425485,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1001/ofr20241001.pdf","text":"Report","size":"2.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024–1001"},{"id":425484,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1001/coverthb.jpg"},{"id":425489,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241001/full"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/cerc\" data-mce-href=\"https://www.usgs.gov/centers/cerc\">Columbia Environmental Research Center</a><br>U.S. Geological Survey<br>4200 New Haven Road<br>Columbia, MO 65201</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Environmental Fate and Transport</li><li>Baseline Considerations</li><li>Response Considerations</li><li>Ephemeral Data Considerations During Response</li><li>Restoration Considerations</li><li>Sampling Techniques and Collection Preparation Considerations</li><li>Sampling Design Considerations</li><li>Analytical Methods</li><li>PFAS Concentrations in Environmental Media</li><li>Summary and Key Considerations</li><li>References Cited</li></ul>","publishedDate":"2024-02-08","noUsgsAuthors":false,"publicationDate":"2024-02-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Pulster, Erin L. 0000-0003-4574-8613","orcid":"https://orcid.org/0000-0003-4574-8613","contributorId":300266,"corporation":false,"usgs":true,"family":"Pulster","given":"Erin","email":"","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":894313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bowman, Sarah R.","contributorId":152219,"corporation":false,"usgs":false,"family":"Bowman","given":"Sarah","email":"","middleInitial":"R.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":894314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keele, Landon 0000-0002-6376-314X","orcid":"https://orcid.org/0000-0002-6376-314X","contributorId":333926,"corporation":false,"usgs":true,"family":"Keele","given":"Landon","email":"","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":894315,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steevens, Jeffery A. 0000-0003-3946-1229","orcid":"https://orcid.org/0000-0003-3946-1229","contributorId":207511,"corporation":false,"usgs":true,"family":"Steevens","given":"Jeffery","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":894316,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70251457,"text":"70251457 - 2024 - Examining water and proppant demand, and produced water production, associated with petroleum resource development in the Eagle Ford Group, Texas","interactions":[],"lastModifiedDate":"2024-03-11T14:41:14.583792","indexId":"70251457","displayToPublicDate":"2024-02-08T09:20:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1506,"text":"Energy & Fuels","active":true,"publicationSubtype":{"id":10}},"title":"Examining water and proppant demand, and produced water production, associated with petroleum resource development in the Eagle Ford Group, Texas","docAbstract":"<p><span>More than 20,000 horizontal wells have been drilled and hydraulically fractured in the Eagle Ford Group since the discovery well in 2008, but a considerable amount of undiscovered petroleum remains. Recently, drilled wells have been hydraulically fractured with an average of nearly 13 million gallons of water and 16 million lb of sand, yielding a million or more gallons of produced water. To inform future petroleum development in the Eagle Ford, the U.S. Geological Survey (USGS) conducted a water and proppant assessment using a geology-based approach that builds on the 2018 USGS assessment of undiscovered technically recoverable petroleum. Using probabilistic input values and a Monte Carlo simulation, we determined that production of the remaining undiscovered technically recoverable oil and gas in the Eagle Ford Group would require approximately 687,565 Mgal (millions of gallons) of water and 839,702,000,000 lb of proppant (both are mean values of output distributions). This possible future petroleum production would also include 176,817 Mgal (mean value) of produced formation water. On average, oil wells require water volumes that are approximately twice the volume of oil that will be produced, and Eagle Ford gas wells require approximately 5.21 Mgal of water per billion cubic feet of gas (bcfg). Produced formation water volumes are approximately 60% of the produced oil volume and, for gas wells, will yield approximately 1 Mgal formation water per bcfg. Understanding the water and proppant requirements associated with petroleum exploration and the resulting volume of produced water can inform decisions regarding the future of Eagle Ford development.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.energyfuels.3c03509","usgsCitation":"Gianoutsos, N.J., Haines, S.S., Varela, B.A., and Whidden, K.J., 2024, Examining water and proppant demand, and produced water production, associated with petroleum resource development in the Eagle Ford Group, Texas: Energy & Fuels, v. 38, no. 5, p. 3564-3585, https://doi.org/10.1021/acs.energyfuels.3c03509.","productDescription":"22 p.","startPage":"3564","endPage":"3585","ipdsId":"IP-142564","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":440481,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1021/acs.energyfuels.3c03509","text":"Publisher Index Page"},{"id":425609,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Eagle Ford group","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -99.34582384675397,\n              27.138149862898885\n            ],\n            [\n              -97.18812799013264,\n              27.288809241298637\n            ],\n            [\n              -93.65802227352899,\n              29.924782841550652\n            ],\n            [\n              -94.22380600403298,\n              33.39638912608686\n            ],\n            [\n              -97.69912099661491,\n              33.650907038344755\n            ],\n            [\n              -99.73744590037893,\n              31.276596771010205\n            ],\n            [\n              -100.21262723536495,\n              28.353339606518134\n            ],\n            [\n              -99.34582384675397,\n              27.138149862898885\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"38","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-02-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Gianoutsos, Nicholas J. 0000-0002-6510-6549 ngianoutsos@usgs.gov","orcid":"https://orcid.org/0000-0002-6510-6549","contributorId":3607,"corporation":false,"usgs":true,"family":"Gianoutsos","given":"Nicholas","email":"ngianoutsos@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":894624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haines, Seth S. 0000-0003-2611-8165 shaines@usgs.gov","orcid":"https://orcid.org/0000-0003-2611-8165","contributorId":1344,"corporation":false,"usgs":true,"family":"Haines","given":"Seth","email":"shaines@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":894625,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Varela, Brian A. 0000-0001-9849-6742 bvarela@usgs.gov","orcid":"https://orcid.org/0000-0001-9849-6742","contributorId":178091,"corporation":false,"usgs":true,"family":"Varela","given":"Brian","email":"bvarela@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":894626,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whidden, Katherine J. 0000-0002-7841-2553 kwhidden@usgs.gov","orcid":"https://orcid.org/0000-0002-7841-2553","contributorId":3960,"corporation":false,"usgs":true,"family":"Whidden","given":"Katherine","email":"kwhidden@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":894627,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70251443,"text":"70251443 - 2024 - Rayleigh step-selection functions and connections to continuous-time mechanistic movement models","interactions":[],"lastModifiedDate":"2024-02-10T14:10:15.47688","indexId":"70251443","displayToPublicDate":"2024-02-08T08:08:20","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Rayleigh step-selection functions and connections to continuous-time mechanistic movement models","docAbstract":"<h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Background</h3><p>The process known as ecological diffusion emerges from a first principles view of animal movement, but ecological diffusion and other partial differential equation models can be difficult to fit to data. Step-selection functions (SSFs), on the other hand, have emerged as powerful practical tools for ecologists studying the movement and habitat selection of animals.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Methods</h3><p>SSFs typically involve comparing resources between a set of used and available points at each step in a sequence of observed positions. We use change of variables to show that ecological diffusion implies certain distributions for available steps that are more flexible than others commonly used. We then demonstrate advantages of these distributions with SSF models fit to data collected for a mountain lion in Colorado, USA.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Results</h3><p>We show that connections between ecological diffusion and SSFs imply a Rayleigh step-length distribution and uniform turning angle distribution, which can accommodate data collected at irregular time intervals. The results of fitting an SSF model with these distributions compared to a set of commonly used distributions revealed how precision and inference can vary between the two approaches.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Conclusions</h3><p>Our new continuous-time step-length distribution can be integrated into various forms of SSFs, making them applicable to data sets with irregular time intervals between successive animal locations.</p>","language":"English","publisher":"Springer","doi":"10.1186/s40462-023-00442-w","usgsCitation":"Eisaguirre, J.M., Williams, P.J., and Hooten, M.B., 2024, Rayleigh step-selection functions and connections to continuous-time mechanistic movement models: Movement Ecology, v. 12, 14, 8 p., https://doi.org/10.1186/s40462-023-00442-w.","productDescription":"14, 8 p.","ipdsId":"IP-150225","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":440485,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-023-00442-w","text":"Publisher Index Page"},{"id":425569,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","noUsgsAuthors":false,"publicationDate":"2024-02-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Eisaguirre, Joseph Michael 0000-0002-0450-8472","orcid":"https://orcid.org/0000-0002-0450-8472","contributorId":301980,"corporation":false,"usgs":true,"family":"Eisaguirre","given":"Joseph","email":"","middleInitial":"Michael","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":894590,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Perry J.","contributorId":169058,"corporation":false,"usgs":false,"family":"Williams","given":"Perry","email":"","middleInitial":"J.","affiliations":[{"id":25400,"text":"U.S. Fish and Wildlife Service, Big Oaks National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":894591,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hooten, Mevin B. 0000-0002-1614-723X","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":292295,"corporation":false,"usgs":false,"family":"Hooten","given":"Mevin","email":"","middleInitial":"B.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":894592,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70251429,"text":"70251429 - 2024 - Hydrothermal plume fallout, mass wasting, and volcanic eruptions contribute to sediments at Loki’s Castle vent field, Mohns Ridge","interactions":[],"lastModifiedDate":"2024-02-10T13:41:27.730807","indexId":"70251429","displayToPublicDate":"2024-02-08T07:37:06","publicationYear":"2024","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":"Hydrothermal plume fallout, mass wasting, and volcanic eruptions contribute to sediments at Loki’s Castle vent field, Mohns Ridge","docAbstract":"<div class=\"article-section__content en main\"><p>Sediments surrounding hydrothermal vents are important transition spaces between hydrothermal and pelagic environments. These sediments accumulate through diverse processes that include water column plume fallout, volcanic ash deposition, and mass wasting of hydrothermal chimneys and mounds superimposed upon background sedimentation which may originate from pelagic, terrestrial, and volcanic sources. In addition to being a sink for elements discharged from hydrothermal vents, elements may also be scavenged from seawater onto oxidized hydrothermal material. Preservation of these hydrothermal sediments may occur depending on the extent of oxidative and/or reductive dissolution processes after burial. Sediments remaining adjacent to active venting may also be hydrothermally altered after emplacement. To better understand these processes, here we evaluate sediment push cores collected from the Loki's Castle vent field at the intersection of the slow-ultraslow spreading Mohns and Knipovich mid-ocean ridges. All samples were collected within ∼225&nbsp;m of current high-temperature (299–316°C) “black smoker” fluid discharge. These sediment cores are highly heterogeneous and lack stratigraphic correlation, even for samples taken within meters of each other. Most sediment cores are dominated by either pelagic sediments or mass wasted hydrothermal material, with hydrothermal plume fallout contributing a low proportion of material, and only a single volcanic ash layer occurring in one of the 13 cores. Dominant hydrothermal minerals found include talc, goethite, pyrite, pyrrhotite, and sphalerite. We find that even after several thousand years, most mass wasted hydrothermal material remains minimally altered, with sedimentation rates indistinguishable from background rates within several hundred meters of the hydrothermal vent source.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023GC011094","usgsCitation":"Gartman, A., Payan, D.M., Au, M.V., Reeves, E., Jamieson, J., Gini, C., and Roerdink, D., 2024, Hydrothermal plume fallout, mass wasting, and volcanic eruptions contribute to sediments at Loki’s Castle vent field, Mohns Ridge: Geochemistry, Geophysics, Geosystems, v. 25, no. 2, e2023GC011094, 27 p., https://doi.org/10.1029/2023GC011094.","productDescription":"e2023GC011094, 27 p.","ipdsId":"IP-154396","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":440487,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023gc011094","text":"Publisher Index Page"},{"id":425564,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-02-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Gartman, Amy 0000-0001-9307-3062 agartman@usgs.gov","orcid":"https://orcid.org/0000-0001-9307-3062","contributorId":177057,"corporation":false,"usgs":true,"family":"Gartman","given":"Amy","email":"agartman@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":894543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Payan, Denise M","contributorId":333273,"corporation":false,"usgs":false,"family":"Payan","given":"Denise","email":"","middleInitial":"M","affiliations":[{"id":65347,"text":"Former employee USGS PCMSC","active":true,"usgs":false}],"preferred":false,"id":894544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Au, Manda Viola 0009-0005-4128-5051","orcid":"https://orcid.org/0009-0005-4128-5051","contributorId":333272,"corporation":false,"usgs":true,"family":"Au","given":"Manda","email":"","middleInitial":"Viola","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":894545,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reeves, Eoghan P.","contributorId":334024,"corporation":false,"usgs":false,"family":"Reeves","given":"Eoghan P.","affiliations":[{"id":28158,"text":"University of Bergen","active":true,"usgs":false}],"preferred":false,"id":894546,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jamieson, John","contributorId":334025,"corporation":false,"usgs":false,"family":"Jamieson","given":"John","affiliations":[{"id":40744,"text":"Memorial University","active":true,"usgs":false}],"preferred":false,"id":894547,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gini, Caroline","contributorId":334026,"corporation":false,"usgs":false,"family":"Gini","given":"Caroline","email":"","affiliations":[{"id":40744,"text":"Memorial University","active":true,"usgs":false}],"preferred":false,"id":894548,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Roerdink, Desiree","contributorId":334027,"corporation":false,"usgs":false,"family":"Roerdink","given":"Desiree","email":"","affiliations":[{"id":28158,"text":"University of Bergen","active":true,"usgs":false}],"preferred":false,"id":894549,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70251378,"text":"70251378 - 2024 - Long-term storage at -20°C compromises fatty acid composition of polar bear adipose biopsies","interactions":[],"lastModifiedDate":"2024-02-08T13:21:10.741505","indexId":"70251378","displayToPublicDate":"2024-02-08T07:19:12","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Long-term storage at -20°C compromises fatty acid composition of polar bear adipose biopsies","docAbstract":"<p class=\"abstract_block\">This study aimed to gain insight into the influence of storage time and temperature on fatty acid (FA) signatures of biopsies of marine mammal adipose/blubber tissues. To examine storage effects, biopsy-type slices from larger pieces of adipose tissues from 2 polar bears<span>&nbsp;</span><i>Ursus maritimus</i><span>&nbsp;</span>were stored at either -20 or -80°C and subsequently analyzed for fatty acid composition initially (before storage), after 4 yr, and after 9 yr. At -20°C, after both 4 and 9 yr, proportions of polyunsaturated FAs significantly decreased, and proportions of monounsaturated FAs increased. Proportions of saturated FAs significantly increased only after 9 yr at -20°C in samples of 1 individual. After 4 and 9 yr of storage at -80°C, proportions of the 3 FA classes did not significantly change overall. Intra-individual differences in FA proportions increased over time in -20°C conditions, further pointing to biases stemming from inadequate storage conditions. These findings support the need to store biopsied fatty tissues (or other similarly thin and/or small adipose/blubber samples) at or below -80°C to adequately preserve FA signatures in samples over time for retrospective applications such as dietary studies.</p>","language":"English","publisher":"Inter-Research","doi":"10.3354/meps14501","usgsCitation":"Lacombe, R., Atwood, T.C., Peacock, E., Remili, A., Dietz, R., Sonne, C., and McKinney, M., 2024, Long-term storage at -20°C compromises fatty acid composition of polar bear adipose biopsies: Marine Ecology Progress Series, v. 728, p. 75-80, https://doi.org/10.3354/meps14501.","productDescription":"6 p.","startPage":"75","endPage":"80","ipdsId":"IP-157478","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":425508,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"728","noUsgsAuthors":false,"publicationDate":"2024-02-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Lacombe, Rose","contributorId":333929,"corporation":false,"usgs":false,"family":"Lacombe","given":"Rose","email":"","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":894327,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":894328,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peacock, Elizabeth 0000-0002-8482-7843","orcid":"https://orcid.org/0000-0002-8482-7843","contributorId":207644,"corporation":false,"usgs":true,"family":"Peacock","given":"Elizabeth","email":"","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":894409,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Remili, Anais","contributorId":333930,"corporation":false,"usgs":false,"family":"Remili","given":"Anais","email":"","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":894329,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dietz, Rune","contributorId":191799,"corporation":false,"usgs":false,"family":"Dietz","given":"Rune","email":"","affiliations":[],"preferred":false,"id":894330,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sonne, Christian","contributorId":218344,"corporation":false,"usgs":false,"family":"Sonne","given":"Christian","email":"","affiliations":[{"id":39808,"text":"Aarhus University, Arctic Research Centre (ARC), Department of Bioscience","active":true,"usgs":false}],"preferred":false,"id":894331,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McKinney, Melissa","contributorId":222146,"corporation":false,"usgs":false,"family":"McKinney","given":"Melissa","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":894332,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70253082,"text":"70253082 - 2024 - The spatially adaptable filter for error reduction (SAFER) process: Remote sensing-based LANDFIRE disturbance mapping updates","interactions":[],"lastModifiedDate":"2024-04-18T12:20:00.446915","indexId":"70253082","displayToPublicDate":"2024-02-08T07:18:08","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5678,"text":"Fire","active":true,"publicationSubtype":{"id":10}},"title":"The spatially adaptable filter for error reduction (SAFER) process: Remote sensing-based LANDFIRE disturbance mapping updates","docAbstract":"<div class=\"html-p\">LANDFIRE (LF) has been producing periodic spatially explicit vegetation change maps (i.e., LF disturbance products) across the entire United States since 1999 at a 30 m spatial resolution. These disturbance products include data products produced by various fire programs, field-mapped vegetation and fuel treatment activity (i.e., events) submissions from various agencies, and disturbances detected by the U.S. Geological Survey Earth Resources Observation and Science (EROS)-based Remote Sensing of Landscape Change (RSLC) process. The RSLC process applies a bi-temporal change detection algorithm to Landsat satellite-based seasonal composites to generate the interim disturbances that are subsequently reviewed by analysts to reduce omission and commission errors before ingestion them into LF’s disturbance products. The latency of the disturbance product is contingent on timely data availability and analyst review. This work describes the development and integration of the Spatially Adaptable Filter for Error Reduction (SAFER) process and other error and latency reduction improvements to the RSLC process. SAFER is a random forest-based supervised classifier and uses predictor variables that are derived from multiple years of pre- and post-disturbance Landsat band observations. Predictor variables include reflectance, indices, and spatial contextual information. Spatial contextual information that is unique to each contiguous disturbance region is parameterized as Z scores using differential observations of the disturbed regions with its undisturbed neighbors. The SAFER process was prototyped for inclusion in the RSLC process over five regions within the conterminous United States (CONUS) and regional model performance, evaluated using 2016 data. Results show that the inclusion of the SAFER process increased the accuracies of the interim disturbance detections and thus has potential to reduce the time needed for analyst review. LF does not track the time taken by each analyst for each tile, and hence, the relative effort saved was parameterized as the percentage of 30 m pixels that are correctly classified in the SAFER outputs to the total number of pixels that are incorrectly classified in the interim disturbance and are presented. The SAFER prototype outputs showed that the relative analysts’ effort saved could be over 95%. The regional model performance evaluation showed that SAFER’s performance depended on the nature of disturbances and availability of cloud-free images relative to the time of disturbances. The accuracy estimates for CONUS were inferred by comparing the 2017 SAFER outputs to the 2017 analyst-reviewed data. As expected, the SAFER outputs had higher accuracies compared to the interim disturbances, and CONUS-wide relative effort saved was over 92%. The regional variation in the accuracies and effort saved are discussed in relation to the vegetation and disturbance type in each region. SAFER is now operationally integrated into the RSLC process, and LANDFIRE is well poised for annual updates, contingent on the availability of data.</div>","language":"English","publisher":"MDPI","doi":"10.3390/fire7020051","usgsCitation":"Kumar, S., Tolk, B., Dittmeier, R., Picotte, J., La Puma, I.P., Peterson, B., and Hatten, T.D., 2024, The spatially adaptable filter for error reduction (SAFER) process: Remote sensing-based LANDFIRE disturbance mapping updates: Fire, v. 7, no. 2, 51, 21 p., https://doi.org/10.3390/fire7020051.","productDescription":"51, 21 p.","ipdsId":"IP-150592","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":440491,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/fire7020051","text":"Publisher Index Page"},{"id":427903,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-02-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Kumar, Sanath Sathyachandran 0000-0003-4067-4926","orcid":"https://orcid.org/0000-0003-4067-4926","contributorId":335666,"corporation":false,"usgs":false,"family":"Kumar","given":"Sanath Sathyachandran","affiliations":[{"id":80464,"text":"ASRC Federal Data Solutions contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":899099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tolk, Brian 0000-0002-9060-0266","orcid":"https://orcid.org/0000-0002-9060-0266","contributorId":335667,"corporation":false,"usgs":false,"family":"Tolk","given":"Brian","affiliations":[{"id":79181,"text":"KBR Contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":899100,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dittmeier, Ray","contributorId":299963,"corporation":false,"usgs":false,"family":"Dittmeier","given":"Ray","email":"","affiliations":[{"id":61731,"text":"KBR","active":true,"usgs":false}],"preferred":false,"id":899101,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Picotte, Joshua J. 0000-0002-4021-4623","orcid":"https://orcid.org/0000-0002-4021-4623","contributorId":202800,"corporation":false,"usgs":true,"family":"Picotte","given":"Joshua J.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":899102,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"La Puma, Inga P. 0000-0002-6865-820X","orcid":"https://orcid.org/0000-0002-6865-820X","contributorId":206011,"corporation":false,"usgs":false,"family":"La Puma","given":"Inga","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":899103,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peterson, Birgit 0000-0002-4356-1540 bpeterson@usgs.gov","orcid":"https://orcid.org/0000-0002-4356-1540","contributorId":192353,"corporation":false,"usgs":true,"family":"Peterson","given":"Birgit","email":"bpeterson@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":899104,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hatten, Timothy Duckett 0000-0003-3413-4325","orcid":"https://orcid.org/0000-0003-3413-4325","contributorId":330642,"corporation":false,"usgs":true,"family":"Hatten","given":"Timothy","email":"","middleInitial":"Duckett","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":899105,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70252491,"text":"70252491 - 2024 - Transglobal spread of an ecologically relevant sea urchin parasite","interactions":[],"lastModifiedDate":"2024-03-26T12:11:02.105712","indexId":"70252491","displayToPublicDate":"2024-02-08T07:09:06","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1956,"text":"ISME Journal","active":true,"publicationSubtype":{"id":10}},"title":"Transglobal spread of an ecologically relevant sea urchin parasite","docAbstract":"<p class=\"chapter-para\">Mass mortality of the dominant coral reef herbivore<span>&nbsp;</span><i>Diadema antillarum</i><span>&nbsp;</span>in the Caribbean in the early 1980s contributed to a persistent phase shift from coral- to algal-dominated reefs. In 2022, a scuticociliate most closely related to<span>&nbsp;</span><i>Philaster apodigitiformis</i><span>&nbsp;</span>caused further mass mortality of<span>&nbsp;</span><i>D. antillarum</i><span>&nbsp;</span>across the Caribbean, leading to &gt;95% mortality at affected sites. Mortality was also reported in the related species<span>&nbsp;</span><i>Diadema setosum</i><span>&nbsp;</span>in the Mediterranean in 2022, though the causative agent of the Mediterranean outbreak has not yet been determined. In April 2023, mass mortality of<span>&nbsp;</span><i>Diadema setosum</i><span>&nbsp;</span>occurred along the Sultanate of Oman's coastline. Urchins displayed signs compatible with scuticociliatosis including abnormal behavior, drooping and loss of spines, followed by tissue necrosis and death. Here we report the detection of an 18S rRNA gene sequence in abnormal urchins from Muscat, Oman, that is identical to the<span>&nbsp;</span><i>Philaster</i><span>&nbsp;</span>strain responsible for<span>&nbsp;</span><i>D. antillarum</i><span>&nbsp;</span>mass mortality in the Caribbean. We also show that scuticociliatosis signs can be elicited in<span>&nbsp;</span><i>Diadema setosum</i><span>&nbsp;</span>by experimental challenge with the cultivated<span>&nbsp;</span><i>Philaster</i><span>&nbsp;</span>strain associated with Caribbean scuticociliatosis. These results demonstrate the<span>&nbsp;</span><i>Philaster</i><span>&nbsp;</span>sp. associated with<span>&nbsp;</span><i>D. antillarum</i><span>&nbsp;</span>mass mortality has rapidly spread to geographically distant coral reefs, compelling global-scale awareness and monitoring for this devastating condition through field surveys, microscopy, and molecular microbiological approaches, and prompting investigation of long-range transmission mechanisms.</p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/ismejo/wrae024","usgsCitation":"Ritchie, I.T., Vilanova-Cuevas, B., Altera, A., Cornfield, K., Evans, C., Evans, J.S., Hopson-Fernandes, M., Kellogg, C.A., Looker, E., Taylor, O., Hewson, I., and Breitbart, M., 2024, Transglobal spread of an ecologically relevant sea urchin parasite: ISME Journal, v. 18, no. 1, wrae024, 4 p., https://doi.org/10.1093/ismejo/wrae024.","productDescription":"wrae024, 4 p.","ipdsId":"IP-158553","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":440493,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ismejo/wrae024","text":"Publisher Index Page"},{"id":427098,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-02-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Ritchie, Isabella T.","contributorId":304353,"corporation":false,"usgs":false,"family":"Ritchie","given":"Isabella","email":"","middleInitial":"T.","affiliations":[{"id":39241,"text":"College of Marine Science, University of South Florida","active":true,"usgs":false}],"preferred":false,"id":897308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vilanova-Cuevas, Brayan","contributorId":304387,"corporation":false,"usgs":false,"family":"Vilanova-Cuevas","given":"Brayan","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":897309,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Altera, Ashley","contributorId":304354,"corporation":false,"usgs":false,"family":"Altera","given":"Ashley","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":897310,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cornfield, Kaileigh","contributorId":335043,"corporation":false,"usgs":false,"family":"Cornfield","given":"Kaileigh","email":"","affiliations":[{"id":80300,"text":"Five Oceans Environmental Services","active":true,"usgs":false}],"preferred":false,"id":897311,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Evans, Ceri","contributorId":335044,"corporation":false,"usgs":false,"family":"Evans","given":"Ceri","email":"","affiliations":[{"id":80300,"text":"Five Oceans Environmental Services","active":true,"usgs":false}],"preferred":false,"id":897312,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Evans, James S. 0000-0002-9977-1627 jsevans@usgs.gov","orcid":"https://orcid.org/0000-0002-9977-1627","contributorId":279528,"corporation":false,"usgs":true,"family":"Evans","given":"James","email":"jsevans@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":897313,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hopson-Fernandes, Maria","contributorId":335045,"corporation":false,"usgs":false,"family":"Hopson-Fernandes","given":"Maria","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":897314,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kellogg, Christina A. 0000-0002-6492-9455 ckellogg@usgs.gov","orcid":"https://orcid.org/0000-0002-6492-9455","contributorId":391,"corporation":false,"usgs":true,"family":"Kellogg","given":"Christina","email":"ckellogg@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":897315,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Looker, Elayne","contributorId":335046,"corporation":false,"usgs":false,"family":"Looker","given":"Elayne","email":"","affiliations":[{"id":80300,"text":"Five Oceans Environmental Services","active":true,"usgs":false}],"preferred":false,"id":897316,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Taylor, Oliver","contributorId":335047,"corporation":false,"usgs":false,"family":"Taylor","given":"Oliver","email":"","affiliations":[{"id":80300,"text":"Five Oceans Environmental Services","active":true,"usgs":false}],"preferred":false,"id":897317,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hewson, Ian","contributorId":260785,"corporation":false,"usgs":false,"family":"Hewson","given":"Ian","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":897318,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Breitbart, Mya","contributorId":139298,"corporation":false,"usgs":false,"family":"Breitbart","given":"Mya","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":897319,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70251420,"text":"70251420 - 2024 - An introduction to Criteria for Reporting and Evaluating Exposure Datasets (CREED) for use in environmental assessments","interactions":[],"lastModifiedDate":"2024-07-01T14:19:29.039074","indexId":"70251420","displayToPublicDate":"2024-02-08T06:58:54","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"An introduction to Criteria for Reporting and Evaluating Exposure Datasets (CREED) for use in environmental assessments","docAbstract":"<div class=\"article-section__content en main\"><p>Risks posed by environmental exposure to chemicals are routinely assessed to inform activities ranging from environmental status reporting to authorization and registration of chemicals for commercial uses. Environmental risk assessment generally relies on two key values generated from exposure data and ecotoxicity data. Data sets of measured concentrations of chemicals in environmental matrices, referred to here as exposure data, are widely used to support environmental risk management, decision-making, and reporting, such as for chemical screening, ecological or human health risk assessments, and establishment of guidelines. Practitioners have developed schemes to determine the suitability of ecotoxicity data for specific purposes, focused on evaluating reliability and relevance, but analogous schemes are not available for exposure data. Moreover, regulatory guidance arguably provides less resolution on reporting and evaluating exposure data sets compared to ecotoxicity data. The evaluation of exposure data sets is subject to limitations from variable or unreported data quality objectives and/or from differences in expert judgments, potentially introducing bias and leading to decisions based on flawed and/or inconsistent information. Exposure data sets should be evaluated for reliability and relevance prior to use in environmental assessments. This paper is the first of a four-paper series detailing the outcomes of a Society of Environmental Toxicology and Chemistry technical workshop that has developed Criteria for Reporting and Evaluating Exposure Datasets (CREED). The workshop participants developed practical, systematic criteria for consistent and transparent evaluation of the reliability (quality) and relevance (fitness for purpose) of exposure data. This guidance should apply to many different (unspecified) purposes of assessment. CREED can be used to evaluate existing data sets, but can also inform data generators interested in improving their data collection and reporting to maximize data utility to other users. This first paper details existing frameworks for the evaluation of exposure data sets and demonstrates the need for CREED, drawing from different regulatory assessments, and describes the technical workshop.<span>&nbsp;</span></p></div>","language":"English","publisher":"Society of Environmental Toxicology and Contamination","doi":"10.1002/ieam.4899","usgsCitation":"Merrington, G., Nowell, L.H., and Peck, C., 2024, An introduction to Criteria for Reporting and Evaluating Exposure Datasets (CREED) for use in environmental assessments: Integrated Environmental Assessment and Management, v. 20, no. 4, p. 975-980, https://doi.org/10.1002/ieam.4899.","productDescription":"6 p.","startPage":"975","endPage":"980","ipdsId":"IP-152453","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":498015,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ieam.4899","text":"Publisher Index Page"},{"id":425534,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Merrington, Graham 0000-0001-6577-7257","orcid":"https://orcid.org/0000-0001-6577-7257","contributorId":334006,"corporation":false,"usgs":false,"family":"Merrington","given":"Graham","email":"","affiliations":[{"id":80041,"text":"wca environment, Ltd.","active":true,"usgs":false}],"preferred":false,"id":894499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":894500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peck, Charles","contributorId":334007,"corporation":false,"usgs":false,"family":"Peck","given":"Charles","email":"","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":894501,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70251414,"text":"70251414 - 2024 - Assessing the probability of grass carp (Ctenopharyngodon idella) spawning in the Sandusky River using discharge and water temperature","interactions":[],"lastModifiedDate":"2024-03-26T14:46:55.473687","indexId":"70251414","displayToPublicDate":"2024-02-08T06:44:17","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Assessing the probability of grass carp (<i>Ctenopharyngodon idella</i>) spawning in the Sandusky River using discharge and water temperature","title":"Assessing the probability of grass carp (Ctenopharyngodon idella) spawning in the Sandusky River using discharge and water temperature","docAbstract":"<p><span>Grass carp (</span><i>Ctenopharyngodon idella</i><span>, Val.) is an invasive species in the Laurentian Great Lakes region with the potential for damaging the lake ecosystem and harming the region's economy.</span><span>&nbsp;</span><span>Grass carp spawning was documented in the Sandusky River, Ohio, in 2015 through targeted egg sampling. Continued egg sampling in the Sandusky River suggested that grass carp spawning is related to discharge and water temperature.</span><span>&nbsp;</span><span>We used egg sampling data from 2014 to 2021 to develop a Bayesian model to understand the likely conditions related to grass carp spawning in the Lake Erie watershed.</span><span>&nbsp;</span><span>The resulting model estimates the likelihood of spawning as a function of discharge and water temperature. The results suggest that spawning is most likely to occur when discharge is above 10&nbsp;m</span><sup>3</sup><span>/s and water temperature is below 25&nbsp;℃. The model provides a tool for setting research and management priorities to develop management strategies to reduce the grass carp population in Lake Erie. Furthermore, the Bayesian nature of the model makes the model updatable when new data are available, whether from the same river or from another river, to incorporate river-specific features to identify likely spawning rivers.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102303","usgsCitation":"Jaffe, S., Qian, S.S., Mayer, C.M., Kocovsky, P.M., and Gouveia, A., 2024, Assessing the probability of grass carp (Ctenopharyngodon idella) spawning in the Sandusky River using discharge and water temperature: Journal of Great Lakes Research, v. 50, no. 2, 102303, 9 p., https://doi.org/10.1016/j.jglr.2024.102303.","productDescription":"102303, 9 p.","ipdsId":"IP-145474","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":487001,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2024.102303","text":"Publisher Index Page"},{"id":425532,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Sandusky River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83,\n              41.5\n            ],\n            [\n              -83.25,\n              41.5\n            ],\n            [\n              -83.25,\n              41.25\n            ],\n            [\n              -83,\n              41.25\n            ],\n            [\n              -83,\n              41.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"50","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jaffe, Sabrina","contributorId":333990,"corporation":false,"usgs":false,"family":"Jaffe","given":"Sabrina","email":"","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":894481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qian, Song S. 0000-0002-2346-4903","orcid":"https://orcid.org/0000-0002-2346-4903","contributorId":306033,"corporation":false,"usgs":false,"family":"Qian","given":"Song","email":"","middleInitial":"S.","affiliations":[{"id":62440,"text":"Department of Environmental Sciences, University of Toledo, Toledo, OH 43606","active":true,"usgs":false}],"preferred":false,"id":894482,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mayer, Christine M.","contributorId":203271,"corporation":false,"usgs":false,"family":"Mayer","given":"Christine","email":"","middleInitial":"M.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":894483,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kocovsky, Patrick M. 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":3429,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","middleInitial":"M.","affiliations":[{"id":251,"text":"Ecosystems Mission Area","active":false,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":894484,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gouveia, Anarita","contributorId":333992,"corporation":false,"usgs":false,"family":"Gouveia","given":"Anarita","email":"","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":894485,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70271292,"text":"70271292 - 2024 - Mercury bioaccumulation and Hepatozoon spp. infections in two syntopic watersnakes in South Carolina","interactions":[],"lastModifiedDate":"2025-09-03T15:51:45.469464","indexId":"70271292","displayToPublicDate":"2024-02-08T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Mercury bioaccumulation and Hepatozoon spp. infections in two syntopic watersnakes in South Carolina","docAbstract":"<p><span>Mercury (Hg) is a ubiquitous environmental contaminant known to bioaccumulate in biota and biomagnify in food webs. Parasites occur in nearly every ecosystem and often interact in complex ways with other stressors that their hosts experience.&nbsp;</span><i>Hepatozoon</i><span>&nbsp;spp. are intraerythrocytic parasites common in snakes. The Florida green watersnake (</span><i>Nerodia floridana</i><span>) and the banded watersnake (</span><i>Nerodia fasciata</i><span>) occur syntopically in certain aquatic habitats in the Southeastern United States. The purpose of this study was to investigate relationships among total mercury (THg) concentrations, body size, species, habitat type and prevalence and parasitemia of&nbsp;</span><i>Hepatozoon</i><span>&nbsp;spp. infections in snakes. In the present study, we sampled&nbsp;</span><i>N. floridana</i><span>&nbsp;and&nbsp;</span><i>N. fasciata</i><span>&nbsp;from former nuclear cooling reservoirs and isolated wetlands of the Savannah River Site in South Carolina. We used snake tail clips to quantify THg and collected blood samples for hemoparasite counts. Our results indicate a significant, positive relationship between THg and snake body size in&nbsp;</span><i>N. floridana</i><span>&nbsp;and&nbsp;</span><i>N. fasciata</i><span>&nbsp;in both habitats. Average THg was significantly higher for&nbsp;</span><i>N. fasciata</i><span>&nbsp;compared to&nbsp;</span><i>N. floridana</i><span>&nbsp;in bays (0.22 ± 0.02 and 0.08 ± 0.006 mg/kg, respectively;&nbsp;</span><i>p</i><span> &lt; 0.01), but not in reservoirs (0.17 ± 0.02 and 0.17 ± 0.03 mg/kg, respectively;&nbsp;</span><i>p</i><span> = 0.29). Sex did not appear to be related to THg concentration or&nbsp;</span><i>Hepatozoon</i><span>&nbsp;spp. infections in either species. We found no association between Hg and&nbsp;</span><i>Hepatozoon</i><span>&nbsp;spp. prevalence or parasitemia; however, our results suggest that species and habitat type play a role in susceptibility to&nbsp;</span><i>Hepatozoon</i><span>&nbsp;spp. infection.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10646-024-02736-0","usgsCitation":"Brown, M.K., Haskins, D., Pilgrim, M.A., and Tuberville, T.D., 2024, Mercury bioaccumulation and Hepatozoon spp. infections in two syntopic watersnakes in South Carolina: Ecotoxicology, v. 33, p. 164-176, https://doi.org/10.1007/s10646-024-02736-0.","productDescription":"13 p.","startPage":"164","endPage":"176","ipdsId":"IP-151574","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":495185,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/2350673","text":"External Repository"},{"id":495154,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","otherGeospatial":"Savannah River Site","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -81.58754725444848,\n              33.32644054240569\n            ],\n            [\n              -81.58754725444848,\n              33.224172586552555\n            ],\n            [\n              -81.46162826301534,\n              33.224172586552555\n            ],\n            [\n              -81.46162826301534,\n              33.32644054240569\n            ],\n            [\n              -81.58754725444848,\n              33.32644054240569\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"33","noUsgsAuthors":false,"publicationDate":"2024-02-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Brown, M. Kyle","contributorId":360889,"corporation":false,"usgs":false,"family":"Brown","given":"M.","middleInitial":"Kyle","affiliations":[{"id":86116,"text":"University of Georgia's Savannah River Ecology Laboratory","active":true,"usgs":false}],"preferred":false,"id":947870,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haskins, David Lee 0000-0002-6692-3225","orcid":"https://orcid.org/0000-0002-6692-3225","contributorId":357996,"corporation":false,"usgs":true,"family":"Haskins","given":"David Lee","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":947871,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pilgrim, Melissa A.","contributorId":360890,"corporation":false,"usgs":false,"family":"Pilgrim","given":"Melissa","middleInitial":"A.","affiliations":[{"id":86119,"text":"University of South Carolina Upstate","active":true,"usgs":false}],"preferred":false,"id":947872,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tuberville, Tracey D.","contributorId":360891,"corporation":false,"usgs":false,"family":"Tuberville","given":"Tracey","middleInitial":"D.","affiliations":[{"id":86116,"text":"University of Georgia's Savannah River Ecology Laboratory","active":true,"usgs":false}],"preferred":false,"id":947873,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70251254,"text":"sir20235132 - 2024 - Effects of culverts on habitat connectivity in streams—A science synthesis to inform National Environmental Policy Act analyses","interactions":[],"lastModifiedDate":"2024-02-20T19:03:21.092684","indexId":"sir20235132","displayToPublicDate":"2024-02-07T15:55:00","publicationYear":"2024","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":"2023-5132","displayTitle":"Effects of Culverts on Habitat Connectivity in Streams—<I>A Science Synthesis to Inform National Environmental Policy Act Analyses</I>","title":"Effects of culverts on habitat connectivity in streams—A science synthesis to inform National Environmental Policy Act analyses","docAbstract":"<p>The U.S. Geological Survey is working with Federal land management agencies to develop a series of science syntheses to support environmental effects analyses that agencies conduct to comply with the National Environmental Policy Act (NEPA). This report synthesizes science information about the potential effects of culverts on stream connectivity and subsequent effects on fish. We conducted a structured search of published scientific literature to find information about (1) culvert design, installation, and degradation; (2) methods for analyzing culvert condition and quantifying stream connectivity; and (3) the effects of changes to stream connectivity on freshwater fish. We follow the organization first established in U.S. Geological Survey Scientific Investigations Report 2023-5114, in which the report sections align with standard elements of NEPA analyses. We found that, while the effects of dams on stream biota are well documented, smaller barriers at road crossings, like culverts, are prevalent and collectively have a substantial effect on habitat connectivity. Individual culverts differ in the degree to which they impede the movement of aquatic organisms, and we documented methods to assess and estimate the permeability of a culvert, or the ability of aquatic organisms to pass through it. Finally, we outlined methods for using culvert location and permeability information to quantify connectivity in a watershed based on the Dendritic Connectivity Index. Studies have shown that channel constriction, perched outlets, and extreme flow velocities are some of the characteristics of culverts that may hinder aquatic organism passage. Culverts can serve as daily and seasonal barriers to fish, disrupting access to habitat and essential resources like cold water or overwintering refuges. Reduced connectivity can have population-level effects, leading to lower fish species richness and abundance in affected watersheds. Public land managers can use this report by incorporating it by reference in NEPA documentation, as supplemental information, or as a general reference for literature about the effects of culverts on stream connectivity and freshwater fish.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20235132","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Lehrter, R.J., Rutherford, T.K., Dunham, J.B., Johnston, A.N., Wood, D.J.A., Haby, T.S., and Carter, S.K., 2024, Effects of culverts on habitat connectivity in streams—A science synthesis to inform National Environmental Policy Act analyses: U.S. Geological Survey Scientific Investigations Report 2023–5132, 21 p., https://doi.org/10.3133/sir20235132.","productDescription":"vii, 16 p.","onlineOnly":"Y","ipdsId":"IP-154744","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":425805,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235132/full"},{"id":425474,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20235114","text":"Development on Ungulates and Small Mammals—<I>A Science Synthesis to Inform National Environmental Policy Act Analyses</I>"},{"id":425219,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5132/coverthb.jpg"},{"id":425220,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5132/sir20235132.pdf","text":"Report","size":"9.19 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5132"},{"id":425491,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5132/sir20235132.xml"},{"id":425490,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5132/images"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/fort/\" data-mce-href=\"https://www.usgs.gov/centers/fort/\">Fort Collins Science Center</a><br>U.S. Geological Survey<br>2150 Centre Ave., Bldg. C<br>Fort Collins, CO 80526-8118</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Executive Summary</li><li>Purpose of This Report</li><li>How to Use This Report</li><li>Science Synthesis—Effects of Culverts on Habitat Connectivity in Streams </li><li>Methods for Developing this Science Synthesis</li><li>References Cited</li><li>Glossary</li><li>Appendix 1. Option 1: “dci” R Package</li><li>Appendix 2. Option 2: Fish Passage Extension</li><li>Appendix 3. “dci” R Package Sample Script</li></ul>","publishedDate":"2024-02-07","noUsgsAuthors":false,"publicationDate":"2024-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Lehrter, Richard J. 0000-0002-5760-9269","orcid":"https://orcid.org/0000-0002-5760-9269","contributorId":331176,"corporation":false,"usgs":false,"family":"Lehrter","given":"Richard","email":"","middleInitial":"J.","affiliations":[{"id":79144,"text":"BLM National Operations Center (Contractor)","active":true,"usgs":false}],"preferred":false,"id":893668,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rutherford, Tait K. 0000-0003-4314-1519","orcid":"https://orcid.org/0000-0003-4314-1519","contributorId":331173,"corporation":false,"usgs":true,"family":"Rutherford","given":"Tait","email":"","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":893669,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunham, Jason 0000-0002-6268-0633","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":220078,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":893670,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnston, Aaron N. 0000-0003-4659-0504","orcid":"https://orcid.org/0000-0003-4659-0504","contributorId":201768,"corporation":false,"usgs":true,"family":"Johnston","given":"Aaron","email":"","middleInitial":"N.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":893671,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wood, David J.A. 0000-0003-4315-5160","orcid":"https://orcid.org/0000-0003-4315-5160","contributorId":331178,"corporation":false,"usgs":false,"family":"Wood","given":"David","email":"","middleInitial":"J.A.","affiliations":[{"id":79146,"text":"BLM Montana-Dakotas","active":true,"usgs":false}],"preferred":false,"id":893672,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haby, Travis S. 0000-0003-2204-9967","orcid":"https://orcid.org/0000-0003-2204-9967","contributorId":138831,"corporation":false,"usgs":false,"family":"Haby","given":"Travis","email":"","middleInitial":"S.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":893673,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Carter, Sarah K. 0000-0003-3778-8615","orcid":"https://orcid.org/0000-0003-3778-8615","contributorId":192418,"corporation":false,"usgs":true,"family":"Carter","given":"Sarah","email":"","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":893674,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
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