{"pageNumber":"484","pageRowStart":"12075","pageSize":"25","recordCount":165969,"records":[{"id":70229177,"text":"70229177 - 2021 - Demographic responses to climate change in a threatened Arctic species","interactions":[],"lastModifiedDate":"2022-03-02T17:55:54.727772","indexId":"70229177","displayToPublicDate":"2021-07-14T11:45:17","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Demographic responses to climate change in a threatened Arctic species","docAbstract":"<p><span>The Arctic is undergoing rapid and accelerating change in response to global warming, altering biodiversity patterns, and ecosystem function across the region. For Arctic endemic species, our understanding of the consequences of such change remains limited. Spectacled eiders (</span><i>Somateria fischeri</i><span>), a large Arctic sea duck, use remote regions in the Bering Sea, Arctic Russia, and Alaska throughout the annual cycle making it difficult to conduct comprehensive surveys or demographic studies. Listed as Threatened under the U.S. Endangered Species Act, understanding the species response to climate change is critical for effective conservation policy and planning. Here, we developed an integrated population model to describe spectacled eider population dynamics using capture–mark–recapture, breeding population survey, nest survey, and environmental data collected between 1992 and 2014. Our intent was to estimate abundance, population growth, and demographic rates, and quantify how changes in the environment influenced population dynamics. Abundance of spectacled eiders breeding in western Alaska has increased since listing in 1993 and responded more strongly to annual variation in first-year survival than adult survival or productivity. We found both adult survival and nest success were highest in years following intermediate sea ice conditions during the wintering period, and both demographic rates declined when sea ice conditions were above or below average. In recent years, sea ice extent has reached new record lows and has remained below average throughout the winter for multiple years in a row. Sea ice persistence is expected to further decline in the Bering Sea. Our results indicate spectacled eiders may be vulnerable to climate change and the increasingly variable sea ice conditions throughout their wintering range with potentially deleterious effects on population dynamics. Importantly, we identified that different demographic rates responded similarly to changes in sea ice conditions, emphasizing the need for integrated analyses to understand population dynamics.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.7873","usgsCitation":"Dunham, K., Tucker, A., Koons, D., Abebe, A., Dobson, F., and Grand, J.B., 2021, Demographic responses to climate change in a threatened Arctic species: Ecology and Evolution, v. 11, no. 15, p. 10627-10643, https://doi.org/10.1002/ece3.7873.","productDescription":"17 p.","startPage":"10627","endPage":"10643","ipdsId":"IP-123223","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":451515,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.7873","text":"Publisher Index Page"},{"id":396660,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Arctic Coastal Plain, Arctic Russia, Yukon-Kuskokwim Delta","volume":"11","issue":"15","noUsgsAuthors":false,"publicationDate":"2021-07-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Dunham, K.D.","contributorId":287550,"corporation":false,"usgs":false,"family":"Dunham","given":"K.D.","email":"","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":836868,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tucker, A.M.","contributorId":287552,"corporation":false,"usgs":false,"family":"Tucker","given":"A.M.","email":"","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":836869,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koons, D.N.","contributorId":287553,"corporation":false,"usgs":false,"family":"Koons","given":"D.N.","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":836870,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Abebe, A.","contributorId":287556,"corporation":false,"usgs":false,"family":"Abebe","given":"A.","email":"","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":836871,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dobson, F.S.","contributorId":287558,"corporation":false,"usgs":false,"family":"Dobson","given":"F.S.","email":"","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":836872,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grand, J. Barry 0000-0002-3576-4567 barry_grand@usgs.gov","orcid":"https://orcid.org/0000-0002-3576-4567","contributorId":579,"corporation":false,"usgs":true,"family":"Grand","given":"J.","email":"barry_grand@usgs.gov","middleInitial":"Barry","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":836873,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70237744,"text":"70237744 - 2021 - Event scale relationships of DOC and TDN fluxes in throughfall and stemflow diverge from stream exports in a forested catchment","interactions":[],"lastModifiedDate":"2023-08-03T21:28:06.924605","indexId":"70237744","displayToPublicDate":"2021-07-14T08:53:38","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Event scale relationships of DOC and TDN fluxes in throughfall and stemflow diverge from stream exports in a forested catchment","docAbstract":"<p><span>Aquatic fluxes of carbon and nutrients link terrestrial and aquatic ecosystems. Within forests, storm events drive both the delivery of carbon and nitrogen to the forest floor and the export of these solutes from the land via streams. To increase understanding of the relationships between hydrologic event character and the relative fluxes of carbon and nitrogen in throughfall, stemflow and streams, we measured dissolved organic carbon (DOC) and total dissolved nitrogen (TDN) concentrations in each flow path for 23 events in a forested watershed in Vermont, USA. DOC and TDN concentrations increased with streamflow, indicating their export was limited by water transport of catchment stores. DOC and TDN concentrations in throughfall and stemflow decreased exponentially with increasing precipitation, suggesting that precipitation removed a portion of available sources from tree surfaces during the events. DOC and TDN fluxes were estimated for 76 events across a 2-year period. For most events, throughfall and stemflow fluxes greatly exceeded stream fluxes, but the imbalance narrowed for larger storms (&gt;30&nbsp;mm). The largest 10 stream events exported 40% of all stream event DOC whereas those same 10 events contributed 14% of all throughfall export. Approximately 2–5 times more DOC and TDN was exported from trees during rain events than left the catchment via streams annually. The diverging influence of event size on tree versus stream fluxes has important implications for forested ecosystems as hydrological events increase in intensity and frequency due to climate change.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021JG006281","usgsCitation":"Ryan, K.A., Adler, T., Chalmers, A.T., Perdrial, J., Shanley, J.B., and Stubbins, A., 2021, Event scale relationships of DOC and TDN fluxes in throughfall and stemflow diverge from stream exports in a forested catchment: Journal of Geophysical Research: Biogeosciences, v. 126, no. 7, e2021JG006281, 23 p., https://doi.org/10.1029/2021JG006281.","productDescription":"e2021JG006281, 23 p.","ipdsId":"IP-128922","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":436273,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OCS8P7","text":"USGS data release","linkHelpText":"Storm Event Dissolved Organic Carbon and Total Dissolved Nitrogen Concentrations and Yields for Precipitation, Throughfall, Stemflow, and Stream Water and Hourly Streamflow and Precipitation Record for the W-9 Catchment, Sleepers River Research Watershed, 2017 and 2018 (ver. 2.0, September 2022)"},{"id":408603,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","otherGeospatial":"Sleepers River Research Watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -72.32144973179821,\n              44.56971018097872\n            ],\n            [\n              -72.32144973179821,\n              44.37610677503369\n            ],\n            [\n              -72.000598189831,\n              44.37610677503369\n            ],\n            [\n              -72.000598189831,\n              44.56971018097872\n            ],\n            [\n              -72.32144973179821,\n              44.56971018097872\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"126","issue":"7","noUsgsAuthors":false,"publicationDate":"2021-07-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Ryan, Kevin A.","contributorId":298331,"corporation":false,"usgs":false,"family":"Ryan","given":"Kevin","email":"","middleInitial":"A.","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":false,"id":855421,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adler, Thomas","contributorId":244156,"corporation":false,"usgs":false,"family":"Adler","given":"Thomas","email":"","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":855422,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chalmers, Ann T. 0000-0002-5199-8080","orcid":"https://orcid.org/0000-0002-5199-8080","contributorId":217381,"corporation":false,"usgs":true,"family":"Chalmers","given":"Ann","email":"","middleInitial":"T.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":855423,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perdrial, Julia","contributorId":190445,"corporation":false,"usgs":false,"family":"Perdrial","given":"Julia","affiliations":[],"preferred":false,"id":855424,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":855425,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stubbins, Aron","contributorId":191244,"corporation":false,"usgs":false,"family":"Stubbins","given":"Aron","email":"","affiliations":[],"preferred":false,"id":855426,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70221762,"text":"70221762 - 2021 - Comparison of preservation and extraction methods on five taxonomically disparate coral microbiomes","interactions":[],"lastModifiedDate":"2021-09-15T13:44:45.088065","indexId":"70221762","displayToPublicDate":"2021-07-14T08:42:15","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of preservation and extraction methods on five taxonomically disparate coral microbiomes","docAbstract":"<p><span>All animals are host to a multitude of microorganisms that are essential to the animal’s health. Host-associated microbes have been shown to defend against potential pathogens, provide essential nutrients, interact with the host’s immune system, and even regulate mood. However, it can be difficult to preserve and obtain nucleic acids from some host-associated microbiomes, making studying their microbial communities challenging. Corals are an example of this, in part due to their potentially remote, underwater locations, their thick surface mucopolysaccharide layer, and various inherent molecular inhibitors. This study examined three different preservatives (RNAlater, DNA/RNA Shield, and liquid nitrogen) and two extraction methods (the Qiagen PowerBiofilm kit and the Promega Maxwell RBC kit with modifications) to determine if there was an optimum combination for examining the coral microbiome. These methods were employed across taxonomically diverse coral species, including deep-sea/shallow, stony/soft, and zooxanthellate/azooxanthellate:&nbsp;</span><i>Lophelia pertusa</i><span>,&nbsp;</span><i>Paragorgia johnsoni</i><span>,&nbsp;</span><i>Montastraea cavernosa</i><span>,&nbsp;</span><i>Porites astreoides</i><span>, and&nbsp;</span><i>Stephanocoenia intersepta</i><span>. Although significant differences were found between preservative types and extraction methods, these differences were subtle, and varied in nature from coral species to coral species. Significant differences between coral species were far more profound than those detected between preservative or extraction method. We suggest that the preservative types presented here and extraction methods using a bead-beating step provide enough consistency to compare coral microbiomes across various studies, as long as subtle differences in microbial communities are attributed to dissimilar methodologies. Additionally, the inclusion of internal controls such as a mock community and extraction blanks can help provide context regarding data quality, improving downstream analyses.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fmars.2021.684161","usgsCitation":"Pratte, Z.A., and Kellogg, C.A., 2021, Comparison of preservation and extraction methods on five taxonomically disparate coral microbiomes: Frontiers in Marine Science, v. 8, 684161, 13 p., https://doi.org/10.3389/fmars.2021.684161.","productDescription":"684161, 13 p.","ipdsId":"IP-127754","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":451519,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2021.684161","text":"Publisher Index Page"},{"id":436274,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96GBWDM","text":"USGS data release","linkHelpText":"Coral Microbiome Preservation and Extraction Method Comparison-Raw Data"},{"id":389261,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","noUsgsAuthors":false,"publicationDate":"2021-07-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Pratte, Zoe A.","contributorId":214260,"corporation":false,"usgs":false,"family":"Pratte","given":"Zoe","email":"","middleInitial":"A.","affiliations":[{"id":27526,"text":"Georgia Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":818655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":818656,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70222456,"text":"70222456 - 2021 - Long-term year-round observations of magmatic CO2 emissions on Mammoth Mountain, California, USA","interactions":[],"lastModifiedDate":"2021-07-30T13:39:50.498578","indexId":"70222456","displayToPublicDate":"2021-07-14T08:37:39","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Long-term year-round observations of magmatic CO2 emissions on Mammoth Mountain, California, USA","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp00050\">Diffuse emission of magmatic CO<sub>2</sub><span>&nbsp;is one of the main indicators of volcanic unrest at Mammoth Mountain, but the presence of deep seasonal&nbsp;snowpack&nbsp;at the site has hindered year-round CO</span><sub>2</sub><span>&nbsp;flux observations. A permanent&nbsp;eddy covariance&nbsp;station was established at the largest area of diffuse CO</span><sub>2</sub><span>&nbsp;</span>degassing on Mammoth Mountain (Horseshoe Lake tree kill) that measured CO<sub>2</sub><span>&nbsp;</span>fluxes (<i>F</i><sub><i>c</i></sub><span>) and&nbsp;meteorological parameters&nbsp;on a half-hourly basis. From July 22, 2014 to May 24, 2020,&nbsp;</span><i>F</i><sub><i>c</i></sub><span>&nbsp;</span>ranged from −35 to 10,546 g m<sup>−2</sup><span>&nbsp;</span>d<sup>−1</sup>.<span>&nbsp;</span><i>F</i><sub><i>c</i></sub><span>&nbsp;</span>decreased on average by 53% over the study period, tracking the long-term decline in CO<sub>2</sub><span>&nbsp;</span>emissions following the last major increase that occurred at the Horseshoe Lake tree kill area from 2009 to 2011. Statistical and spectral analyses were applied to the<span>&nbsp;</span><i>F</i><sub><i>c</i></sub><span>&nbsp;</span>and ancillary meteorological parameter time series to understand (1) relationships between these parameters, (2) their dominant periodicities, and (3) changes in<span>&nbsp;</span><i>F</i><sub><i>c</i></sub><span>&nbsp;</span>that may be unexplained by meteorological forcing. Variations in detrended<span>&nbsp;</span><i>F</i><sub><i>c</i></sub><span>&nbsp;</span>(<i>F</i><sub><i>cdt</i></sub>) were most strongly correlated with wind direction and atmospheric temperature, followed by atmospheric pressure on diurnal to annual time scales, but wind direction likely exerted the most direct control on<span>&nbsp;</span><i>F</i><sub><i>cdt</i></sub>. Comparison of the smoothed (180-d span)<span>&nbsp;</span><i>F</i><sub><i>cdt</i></sub><span>&nbsp;time series to the time series of average-daily&nbsp;snow water equivalent&nbsp;measured ~1 km away suggested that snowpack may have suppressed CO</span><sub>2</sub><span>&nbsp;</span>emissions. No evidence of a change in CO<sub>2</sub><span>&nbsp;</span>emissions related to the last major seismic swarm beneath Mammoth Mountain on February 2–18, 2014 was observed.</p></div></div></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2021.107347","usgsCitation":"Lewicki, J.L., 2021, Long-term year-round observations of magmatic CO2 emissions on Mammoth Mountain, California, USA: Journal of Volcanology and Geothermal Research, v. 418, 107347, 13 p., https://doi.org/10.1016/j.jvolgeores.2021.107347.","productDescription":"107347, 13 p.","ipdsId":"IP-128355","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":436276,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OJ3KFK","text":"USGS data release","linkHelpText":"Long-term CO2 emissions measurements, Horseshoe Lake tree kill area, Mammoth Mountain, CA"},{"id":387587,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mammoth Mountain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.25659179687499,\n              37.42252593456307\n            ],\n            [\n              -118.564453125,\n              37.42252593456307\n            ],\n            [\n              -118.564453125,\n              37.89219554724437\n            ],\n            [\n              -119.25659179687499,\n              37.89219554724437\n            ],\n            [\n              -119.25659179687499,\n              37.42252593456307\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"418","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lewicki, Jennifer L. 0000-0003-1994-9104 jlewicki@usgs.gov","orcid":"https://orcid.org/0000-0003-1994-9104","contributorId":5071,"corporation":false,"usgs":true,"family":"Lewicki","given":"Jennifer","email":"jlewicki@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":820097,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70222564,"text":"70222564 - 2021 - A reactive transport approach to modeling cave seepage water chemistry I: Carbon isotope transformations","interactions":[],"lastModifiedDate":"2021-09-14T16:45:51.996528","indexId":"70222564","displayToPublicDate":"2021-07-14T07:58:03","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"A reactive transport approach to modeling cave seepage water chemistry I: Carbon isotope transformations","docAbstract":"<p><span>The majority of Critical Zone research has emphasized silicate lithologies, which are typified by relatively slow rates of reactivity and incongruent weathering. However, the relatively simpler weathering of carbonate-dominated lithology can result in secondary mineral deposits, such as speleothems, which provide a long-term archive for Critical Zone processes. In particular, carbon isotopic variability in speleothems has the potential to provide records of changes in vegetation, soil respiration, carbon stabilization in deep soils, and/or chemical weathering in the host rock. Despite this opportunity to reconstruct many Critical Zone processes, multiple influences can also make interpretion of these speleothem carbon isotope records challenging. The integration of observational data and simulations specific to karst systems offers an interpretive framework for these unique time-averaged records accumulated through the evolution of carbonate landscapes. Here, we present a forward and process-based reactive transport simulation based on a multi-year monitoring study of Blue Spring Cave in central Tennessee, USA. The simulations describe the fluid-driven weathering of limestone including explicit tracking of dissolved calcium, stable carbon, and radiocarbon isotope ratios based on reaction rates calibrated through laboratory batch reaction data. We find that calcium concentrations and radiocarbon isotope ratios are strongly influenced by the combination of fluid flow rate and soil CO</span><sub>2</sub><span>&nbsp;content, and require rapid gas phase communication between the overlying soil boundary condition and interior karst to sustain both elevated limestone weathering rates and relatively modern radiocarbon signatures. Stable carbon isotopes are largely dictated by temperature-dependent equilibrium fractionation among contemporaneous species. These simulations are extended to a wide range of parameter space to demonstrate the environmental factors that these isotope proxies record.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2021.06.041","usgsCitation":"Druhan, J., Lawrence, C., Covey, A., Giannetta, M., and Oster, J., 2021, A reactive transport approach to modeling cave seepage water chemistry I: Carbon isotope transformations: Geochimica et Cosmochimica Acta, v. 311, p. 374-400, https://doi.org/10.1016/j.gca.2021.06.041.","productDescription":"27 p.","startPage":"374","endPage":"400","ipdsId":"IP-125015","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":451520,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gca.2021.06.041","text":"Publisher Index Page"},{"id":436277,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90OTSDY","text":"USGS data release","linkHelpText":"Data from a reactive transport modeling study of cave seepage water chemistry"},{"id":387713,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"311","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Druhan, Jennifer","contributorId":245460,"corporation":false,"usgs":false,"family":"Druhan","given":"Jennifer","affiliations":[{"id":36403,"text":"University of Illinois","active":true,"usgs":false}],"preferred":false,"id":820565,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lawrence, Corey 0000-0001-6143-7781","orcid":"https://orcid.org/0000-0001-6143-7781","contributorId":202373,"corporation":false,"usgs":true,"family":"Lawrence","given":"Corey","email":"","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":820566,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Covey, Aaron","contributorId":261749,"corporation":false,"usgs":false,"family":"Covey","given":"Aaron","email":"","affiliations":[{"id":36656,"text":"Vanderbilt University","active":true,"usgs":false}],"preferred":false,"id":820567,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Giannetta, Max","contributorId":261750,"corporation":false,"usgs":false,"family":"Giannetta","given":"Max","email":"","affiliations":[{"id":35161,"text":"University of Illinois, Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":820568,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oster, Jessica","contributorId":223020,"corporation":false,"usgs":false,"family":"Oster","given":"Jessica","email":"","affiliations":[{"id":36656,"text":"Vanderbilt University","active":true,"usgs":false}],"preferred":false,"id":820569,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70222526,"text":"70222526 - 2021 - Urbanization impacts on evapotranspiration across various spatio-temporal scales","interactions":[],"lastModifiedDate":"2021-08-03T12:57:40.484127","indexId":"70222526","displayToPublicDate":"2021-07-14T07:55:23","publicationYear":"2021","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":"Urbanization impacts on evapotranspiration across various spatio-temporal scales","docAbstract":"<div class=\"article-section__content en main\"><p>Urbanization has been shown to locally increase the nighttime temperatures creating urban heat islands, which partly arise due to evapotranspiration (ET) reduction. It is unclear how the direction and magnitude of the change in local ET due to urbanization varies globally across different climatic regimes. This knowledge gap is critical, both for the key role of ET in the energy and water balance accounting for the majority of local precipitation, and for reducing the urban heat island effect. We explore and assess the impacts of urbanization on monthly and mean annual ET across a range of landscapes from local to global spatial scales. Remotely sensed land cover and ET available at 1&nbsp;km resolution are used to quantify the differences in ET between urban and surrounding non-urban areas across the globe. The observed patterns show that the statistically significant difference between urban and non-urban ET can be estimated to first order as a function of local hydroclimate, with arid regions seeing increased ET, and humid regions showing decreased ET. Cities under cold climates also evaporate more than their non-urban surroundings during the winter, as the urban micro-climate has increased energy availability resulting from human activities. Increased ET in arid cities arises from municipal water withdrawals and increased irrigation during drought conditions. These results can help inform planners to improve the integration of environmental conditions into the design and management of urban landscapes.</p></div>","language":"English","publisher":"Wiley","doi":"10.1029/2021EF002045","usgsCitation":"Mazrooei, A., Reitz, M., Wang, D., and Sankarasubramanian, A., 2021, Urbanization impacts on evapotranspiration across various spatio-temporal scales: Earth's Future, v. 9, no. 8, e2021EF002045, 15 p., https://doi.org/10.1029/2021EF002045.","productDescription":"e2021EF002045, 15 p.","ipdsId":"IP-116430","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":489022,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2021ef002045","text":"Publisher Index Page"},{"id":436278,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93SYCF4","text":"USGS data release","linkHelpText":"Urbanization Impacts on Evapotranspiration Across Various Spatio-temporal Scales"},{"id":387653,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"8","noUsgsAuthors":false,"publicationDate":"2021-08-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Mazrooei, Amirhossein","contributorId":241036,"corporation":false,"usgs":false,"family":"Mazrooei","given":"Amirhossein","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":820466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reitz, Meredith 0000-0001-9519-6103 mreitz@usgs.gov","orcid":"https://orcid.org/0000-0001-9519-6103","contributorId":196694,"corporation":false,"usgs":true,"family":"Reitz","given":"Meredith","email":"mreitz@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":820467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Dingbao","contributorId":166993,"corporation":false,"usgs":false,"family":"Wang","given":"Dingbao","email":"","affiliations":[{"id":18879,"text":"University of Central Florida","active":true,"usgs":false}],"preferred":false,"id":820468,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sankarasubramanian, A. 0000-0002-7668-1311","orcid":"https://orcid.org/0000-0002-7668-1311","contributorId":241034,"corporation":false,"usgs":false,"family":"Sankarasubramanian","given":"A.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":820469,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70222566,"text":"70222566 - 2021 - A reactive transport approach to modeling cave seepage water chemistry II: Elemental signatures","interactions":[],"lastModifiedDate":"2021-09-14T16:44:59.280495","indexId":"70222566","displayToPublicDate":"2021-07-14T07:53:03","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"A reactive transport approach to modeling cave seepage water chemistry II: Elemental signatures","docAbstract":"<p><span>Karst&nbsp;systems are useful for examining spatial and temporal variability in Critical Zone processes because they provide a window into the subsurface where waters have interacted with vegetation, soils,&nbsp;regolith, and&nbsp;bedrock&nbsp;across a range of length and timescales. These hydrologic pathways frequently include the precipitation of&nbsp;speleothems, which provide long-term archives of climate and environmental change. Trace element ratios in speleothems (Mg/Ca, Sr/Ca, Ba/Ca) have the potential to provide information about past changes in rainfall and&nbsp;infiltration, but controls on them can be complex and their interpretation must be based on an understanding of the modern cave system. Here we integrate observations of surface conditions, bedrock, soil, and drip water chemistry of Blue Spring Cave in Tennessee, USA with the reactive transport model CrunchTope, which we have calibrated for karst systems to investigate the primary controls on trace element variations in cave&nbsp;seepage waters. We find that measured drip water Mg/Ca and Sr/Ca are captured within the model through variable amounts of&nbsp;limestone&nbsp;dissolution followed by precipitation of secondary&nbsp;calcite&nbsp;that happens within the cave rather than the host limestone. However, strong spatial controls on drip water Mg/Ca and Sr/Ca likely reflect seepage water interactions with variable amounts of diagenetic phases in the host rock. In contrast, Ba/Ca values are consistent across the cave and vary with effective rainfall, suggesting that this parameter may be the most consistent metric for limestone dissolution and prior calcite precipitation and can act as a proxy for rainfall and infiltration in this cave system. Our findings emphasize the importance of evaluating spatial heterogeneity in cave drip waters and outline a novel modeling approach for determining the dominant controls on drip water chemistry in support of the interpretations of&nbsp;</span>paleoclimate<span>&nbsp;records.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2021.06.040","usgsCitation":"Oster, J., Covey, A., Lawrence, C., Giannetta, M., and Druhan, J., 2021, A reactive transport approach to modeling cave seepage water chemistry II: Elemental signatures: Geochimica et Cosmochimica Acta, v. 311, p. 353-373, https://doi.org/10.1016/j.gca.2021.06.040.","productDescription":"21 p.","startPage":"353","endPage":"373","ipdsId":"IP-125017","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":451523,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gca.2021.06.040","text":"Publisher Index Page"},{"id":387712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"311","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Oster, Jessica","contributorId":223020,"corporation":false,"usgs":false,"family":"Oster","given":"Jessica","email":"","affiliations":[{"id":36656,"text":"Vanderbilt University","active":true,"usgs":false}],"preferred":false,"id":820570,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Covey, Aaron","contributorId":261749,"corporation":false,"usgs":false,"family":"Covey","given":"Aaron","email":"","affiliations":[{"id":36656,"text":"Vanderbilt University","active":true,"usgs":false}],"preferred":false,"id":820571,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawrence, Corey 0000-0001-6143-7781","orcid":"https://orcid.org/0000-0001-6143-7781","contributorId":202373,"corporation":false,"usgs":true,"family":"Lawrence","given":"Corey","email":"","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":820572,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Giannetta, Max","contributorId":261750,"corporation":false,"usgs":false,"family":"Giannetta","given":"Max","email":"","affiliations":[{"id":35161,"text":"University of Illinois, Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":820573,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Druhan, Jennifer","contributorId":245460,"corporation":false,"usgs":false,"family":"Druhan","given":"Jennifer","affiliations":[{"id":36403,"text":"University of Illinois","active":true,"usgs":false}],"preferred":false,"id":820574,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70222111,"text":"70222111 - 2021 - Influence of invasive submerged aquatic vegetation (E. densa) on currents and sediment transport in a freshwater tidal system","interactions":[],"lastModifiedDate":"2021-09-14T16:29:41.086323","indexId":"70222111","displayToPublicDate":"2021-07-14T06:57:08","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Influence of invasive submerged aquatic vegetation (<i>E. densa</i>) on currents and sediment transport in a freshwater tidal system","title":"Influence of invasive submerged aquatic vegetation (E. densa) on currents and sediment transport in a freshwater tidal system","docAbstract":"<p>We present a field study combining measurements of vegetation density, vegetative drag, and reduction of suspended-sediment concentration (SSC) within patches of the invasive submerged aquatic plant<span>&nbsp;</span><i>Egeria densa</i>. Our study was motivated by concern that sediment trapping by<span>&nbsp;</span><i>E. densa</i>, which has proliferated in the Sacramento–San Joaquin Delta, is impacting marsh accretion and reducing turbidity. In the freshwater tidal Delta,<span>&nbsp;</span><i>E. densa</i><span>&nbsp;</span>occupies shallow regions, frequently along channel margins. We investigated two sites: Lindsey Slough, a muddy low-energy backwater, and the lower Mokelumne River, with stronger currents and sandy bed sediments. At the two sites biomass density, frontal area, and areal density of the submerged aquatic vegetation (SAV) were similar. Current attenuation within<span>&nbsp;</span><i>E. densa</i><span>&nbsp;</span>exceeded 90% and the vegetative drag coefficient followed<span>&nbsp;</span><img class=\"section_image\" src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/8648ae5f-3564-44db-b169-853d0b427cee/wrcr25436-math-0001.png\" alt=\"urn:x-wiley:00431397:media:wrcr25436:wrcr25436-math-0001\" data-mce-src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/8648ae5f-3564-44db-b169-853d0b427cee/wrcr25436-math-0001.png\">, where<span>&nbsp;</span><img class=\"section_image\" src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/aac64a41-503a-4972-abb5-4b9942cce2b7/wrcr25436-math-0002.png\" alt=\"urn:x-wiley:00431397:media:wrcr25436:wrcr25436-math-0002\" data-mce-src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/aac64a41-503a-4972-abb5-4b9942cce2b7/wrcr25436-math-0002.png\"><span>&nbsp;</span>is stem Reynolds number. The SAV reduced SSC by an average of 18% in Lindsey Slough. At Mokelumne River the reduction ranged 0–40%, with greatest trapping when discharge and SSC were elevated. This depletion of SSC decreases the transport of sediment to marshes by the same percentage, as the rising tide must pass through fringing SAV before reaching marshes. Sediment trapping in<span>&nbsp;</span><i>E. densa</i><span>&nbsp;</span>in the Delta is limited by low flux through the canopy and low settling velocity of suspended sediment (mostly flocculated mud). Sediment trapping by SAV has the potential to reduce channel SSC, but the magnitude and sign of the effect can vary with local factors including vegetative coverage and the depositional or erosional nature of the setting.</p>","language":"English","publisher":"Wiley","doi":"10.1029/2020WR028789","usgsCitation":"Lacy, J.R., Foster-Martinez, M.R., Allen, R.M., and Drexler, J.Z., 2021, Influence of invasive submerged aquatic vegetation (E. densa) on currents and sediment transport in a freshwater tidal system: Water Resources Research, v. 57, e2020WR028789, 22 p., https://doi.org/10.1029/2020WR028789.","productDescription":"e2020WR028789, 22 p.","ipdsId":"IP-119960","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":387286,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento–San Joaquin Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.83288574218749,\n              37.67512527892127\n            ],\n            [\n              -120.311279296875,\n              37.67512527892127\n            ],\n            [\n              -120.311279296875,\n              38.66192241975437\n            ],\n            [\n              -121.83288574218749,\n              38.66192241975437\n            ],\n            [\n              -121.83288574218749,\n              37.67512527892127\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"57","noUsgsAuthors":false,"publicationDate":"2021-08-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Lacy, Jessica R. 0000-0002-2797-6172","orcid":"https://orcid.org/0000-0002-2797-6172","contributorId":201703,"corporation":false,"usgs":true,"family":"Lacy","given":"Jessica","email":"","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":819563,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foster-Martinez, Madeline R.","contributorId":201705,"corporation":false,"usgs":false,"family":"Foster-Martinez","given":"Madeline","email":"","middleInitial":"R.","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":819564,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Rachel M. 0000-0002-0287-6466","orcid":"https://orcid.org/0000-0002-0287-6466","contributorId":261242,"corporation":false,"usgs":false,"family":"Allen","given":"Rachel","email":"","middleInitial":"M.","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":819565,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Drexler, Judith Z. 0000-0002-0127-3866 jdrexler@usgs.gov","orcid":"https://orcid.org/0000-0002-0127-3866","contributorId":167492,"corporation":false,"usgs":true,"family":"Drexler","given":"Judith","email":"jdrexler@usgs.gov","middleInitial":"Z.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":819566,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70226696,"text":"70226696 - 2021 - Seismic monitoring during crises at the NEIC in support of the ANSS","interactions":[],"lastModifiedDate":"2021-12-06T12:18:06.643593","indexId":"70226696","displayToPublicDate":"2021-07-14T06:10:21","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Seismic monitoring during crises at the NEIC in support of the ANSS","docAbstract":"<div class=\"article-section-wrapper js-article-section js-content-section  \"><p>Over the past two decades, the U.S. Geological Survey (USGS) National Earthquake Information Center (NEIC) has overcome many operational challenges. These range from minor disruptions, such as power outages, to significant operational changes, including system reconfiguration to handle unique earthquake sequences and the need to handle distributed work during a pandemic. Our ability to overcome crises is built on the development and implementation of a continuity of operations plan, well‐designed infrastructure, adaptive software systems, experienced staff, and extensive collaboration. The NEIC does not operate in a vacuum but benefits from contributions of United States and international seismic networks. Similarly, the overall resilience of earthquake monitoring in the United States and around the globe benefits from the NEIC’s role as the national center for the Advanced National Seismic System (ANSS). Here, we highlight significant adaptations the NEIC has made in the face of crises. We discuss the COVID‐19 pandemic, which represents the most significant operational crisis to impact the NEIC. The NEIC has maintained continuous operations during the ongoing COVID‐19 pandemic by shifting from a fully onsite operations center to a distributed hybrid of onsite and telework staffing. We then discuss cases in which the NEIC has supported regional monitoring in the face of significant crises. In 2018, the NEIC assisted the Hawaiian Volcano Observatory with the Kīlauea volcano eruption by responding to large events, implementing contingency monitoring procedures, and calculating moment magnitudes for the low‐frequency caldera collapses. Impacts of a crisis extend beyond the immediate response and often require a significant postevent assessment and a rebuilding phase. After the 2017 Hurricane Maria, the NEIC, the USGS National Strong‐Motion Program, and the USGS Albuquerque Seismological Laboratory worked with the Puerto Rico Seismic Network and the Puerto Rico Strong‐Motion program to assess, plan, and implement upgrades at sites that experienced storm damage.</p></div>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220200289","usgsCitation":"Earle, P.S., Benz, H.M., Yeck, W.L., Hayes, G., Guy, M.M., Patton, J., Kragness, D., Mason, D.B., Shiro, B., Wolin, E., Bellini, J., Pursley, J., and Sanders, R.L., 2021, Seismic monitoring during crises at the NEIC in support of the ANSS: Seismological Research Letters, v. 5, no. 92, p. 2905-2914, https://doi.org/10.1785/0220200289.","productDescription":"10 p.","startPage":"2905","endPage":"2914","ipdsId":"IP-126084","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":392495,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -130.78125,\n              54.470037612805754\n            ],\n            [\n              -129.7265625,\n              56.17002298293205\n            ],\n            [\n              -134.6484375,\n              59.5343180010956\n            ],\n            [\n              -139.21874999999997,\n              60.1524422143808\n            ],\n            [\n              -140.625,\n              69.77895177646761\n            ],\n            [\n              -155.0390625,\n              71.30079291637452\n            ],\n            [\n              -163.828125,\n              69.53451763078358\n            ],\n            [\n              -167.34375,\n              66.93006025862448\n            ],\n            [\n              -166.2890625,\n              62.59334083012024\n            ],\n            [\n              -159.609375,\n              57.136239319177434\n            ],\n            [\n              -152.75390624999997,\n              57.326521225217064\n            ],\n            [\n              -146.42578125,\n              60.673178565817715\n            ],\n            [\n              -141.328125,\n              59.62332522313024\n            ],\n            [\n              -138.33984375,\n              58.722598828043374\n            ],\n            [\n              -130.78125,\n              54.470037612805754\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.98046874999999,\n              32.54681317351514\n            ],\n            [\n              -115.48828125000001,\n              32.54681317351514\n            ],\n            [\n              -115.48828125000001,\n              48.922499263758255\n            ],\n            [\n              -124.98046874999999,\n              48.922499263758255\n            ],\n            [\n              -124.98046874999999,\n              32.54681317351514\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.9609375,\n              40.04443758460856\n            ],\n            [\n              -104.58984375,\n              40.04443758460856\n            ],\n            [\n              -104.58984375,\n              44.59046718130883\n 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,{"id":70221897,"text":"ofr20211061 - 2021 - Spatial and temporal distribution of radio-tagged Lost River (Deltistes luxatus) and shortnose (Chasmistes brevirostris) suckers in Clear Lake Reservoir and associated spawning tributaries, Northern California, 2015–17","interactions":[],"lastModifiedDate":"2021-07-14T18:43:40.52114","indexId":"ofr20211061","displayToPublicDate":"2021-07-13T13:15:14","publicationYear":"2021","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":"2021-1061","displayTitle":"Spatial and Temporal Distribution of Radio-Tagged Lost River (<em>Deltistes luxatus</em>) and Shortnose (<em>Chasmistes brevirostris</em>) Suckers in Clear Lake Reservoir and Associated Spawning Tributaries, Northern California, 2015–17","title":"Spatial and temporal distribution of radio-tagged Lost River (Deltistes luxatus) and shortnose (Chasmistes brevirostris) suckers in Clear Lake Reservoir and associated spawning tributaries, Northern California, 2015–17","docAbstract":"<h1>Executive Summary</h1><p class=\"p1\">Data from a multi-year radio telemetry study were used to assess seasonal distribution patterns for two long-lived, federally endangered catostomids across substantially different water conditions in Clear Lake Reservoir, northern California. Lost River (<i>Deltistes luxatus</i>) and shortnose (<i>Chasmistes brevirostris</i>) suckers, two species endemic to the Klamath Basin, were implanted with radio transmitters in each of 3 years in an effort to expand our understanding of seasonal sucker movements within the reservoir and their migrations in spawning tributaries. Clear Lake Reservoir and its tributaries are part of a critical management unit within the Lost River Basin Recovery Unit for populations of Lost River and shortnose suckers. We documented residency and migratory behaviors and how behaviors were affected by lake surface elevations and water management practices.</p><p class=\"p1\">Adult suckers were captured during autumn trammel net sampling in the west lobe of the reservoir and implanted with internal radio transmitters. A total of 163 suckers were radio-tagged (75 in 2014, 64 in 2015, and 24 in 2016); 27 more shortnose suckers were tagged than Lost River suckers to reflect the larger population of shortnose suckers in the reservoir. Sex ratios were approximately equal for each species. Aerial telemetry surveys were used to monitor radio-tagged fish from January 20 to December 2 each year and to document the upstream extent of spawning migrations in the tributaries. Surveys were scheduled more frequently during the spawning season (February–June) when suckers are known to move out of the reservoir and into spawning tributaries.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211061","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Banet, N.V., Hewitt, D.A., Dolan-Caret, A., and Harris, A.C., 2021, Spatial and temporal distribution of radio-tagged Lost River (Deltistes luxatus) and shortnose (Chasmistes brevirostris) suckers in Clear Lake Reservoir and associated spawning tributaries, Northern California, 2015–17: U.S. Geological Survey Open-File Report 2021–1061, 37 p., https://doi.org/10.3133/ofr20211061.","productDescription":"vi, 37 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-120279","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":387167,"rank":3,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/of/2021/1061/ofr20211061_landing.html","text":"Animated movements and migrations","description":"OFR 2021-1061 Animated movements and migrations."},{"id":387166,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1061/ofr20211061.pdf","text":"Report","size":"12.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021-1061"},{"id":387165,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1061/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Clear Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.25610351562499,\n              41.78616105896385\n            ],\n            [\n              -121.03637695312499,\n              41.78616105896385\n            ],\n            [\n              -121.03637695312499,\n              41.93548729665268\n            ],\n            [\n              -121.25610351562499,\n              41.93548729665268\n            ],\n            [\n              -121.25610351562499,\n              41.78616105896385\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/wfrc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/wfrc\">Western Fisheries Research Center</a><br>U.S. Geological Survey<br>6505 NE 65th Street<br>Seattle, Washington 98115-5016</p>","tableOfContents":"<ul><li>Executive Summary</li><li>Introduction</li><li>Description of Study Area</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Conclusions</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishedDate":"2021-07-13","noUsgsAuthors":false,"publicationDate":"2021-07-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Banet, Nathan 0000-0002-8537-1702","orcid":"https://orcid.org/0000-0002-8537-1702","contributorId":217751,"corporation":false,"usgs":true,"family":"Banet","given":"Nathan","email":"","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":819251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hewitt, David A. 0000-0002-5387-0275 dhewitt@usgs.gov","orcid":"https://orcid.org/0000-0002-5387-0275","contributorId":3767,"corporation":false,"usgs":false,"family":"Hewitt","given":"David","email":"dhewitt@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":819252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dolan-Caret, Amari 0000-0001-9155-6116 amaridc@usgs.gov","orcid":"https://orcid.org/0000-0001-9155-6116","contributorId":149805,"corporation":false,"usgs":true,"family":"Dolan-Caret","given":"Amari","email":"amaridc@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":819253,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harris, Alta C. 0000-0002-2123-3028 aharris@usgs.gov","orcid":"https://orcid.org/0000-0002-2123-3028","contributorId":3490,"corporation":false,"usgs":true,"family":"Harris","given":"Alta C.","email":"aharris@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":819254,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70221881,"text":"fs20213039 - 2021 - Arizona and Landsat","interactions":[],"lastModifiedDate":"2023-01-24T11:49:54.477263","indexId":"fs20213039","displayToPublicDate":"2021-07-13T11:47:03","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-3039","displayTitle":"Arizona and Landsat","title":"Arizona and Landsat","docAbstract":"<p>Arizona is a land of massive grandeur, deep gorges, lofty mountains, immense plains, and elevated mesas—and, without question, its crown jewel is the Grand Canyon. The spectacular canyon, one of the seven natural wonders of the world, was created when the Colorado River carved a channel through northern Arizona, revealing nearly two billion years of the Earth's history.</p><p>Yet, for all its ancient beauty, Arizona and its landscapes are experiencing a transformation.</p><p>Arizonans face more extreme temperatures and drought because of climate change. Amid a drought in the western United States, Lake Mead, one of Arizona's main water resources, dropped to a record low level in June 2021. 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 \"}}]}","edition":"Version 1.0: July 13, 2021; Version 1.1: January 23, 2023","contact":"<p>Program Coordinator, <a href=\"https://www.usgs.gov/core-science-systems/national-land-imaging-program\" data-mce-href=\"https://www.usgs.gov/core-science-systems/national-land-imaging-program\">National Land Imaging Program</a> <br>U.S. Geological Survey<br>12201 Sunrise Valley Drive <br>Reston, VA 20192</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Water Usage</li><li>Fire Modeling</li><li>Urban Sprawl</li><li>Landsat—Critical Information Infrastructure for the Nation</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2021-07-13","revisedDate":"2023-01-23","noUsgsAuthors":false,"publicationDate":"2021-07-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":819201,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70251840,"text":"70251840 - 2021 - Seismic and geodetic analysis of rupture characteristics of the 2020 Mw 6.5 Monte Cristo Range, Nevada, earthquake","interactions":[],"lastModifiedDate":"2024-03-04T16:54:56.411506","indexId":"70251840","displayToPublicDate":"2021-07-13T10:48:36","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Seismic and geodetic analysis of rupture characteristics of the 2020 Mw 6.5 Monte Cristo Range, Nevada, earthquake","docAbstract":"<p><span>The largest earthquake since 1954 to strike the state of Nevada, United States, ruptured on 15 May 2020 along the Monte Cristo range of west‐central Nevada. The&nbsp;</span><span class=\"inline-formula no-formula-id\"><i>M</i><sub>w</sub></span><span>&nbsp;6.5 event involved predominantly left‐lateral strike‐slip faulting with minor normal components on three aligned east–west‐trending faults that vary in strike by 23°. The kinematic rupture process is determined by joint inversion of Global Navigation Satellite Systems displacements, Interferometric Synthetic Aperture Radar (InSAR) data, regional strong motions, and teleseismic&nbsp;</span><i>P</i><span>&nbsp;and&nbsp;</span><i>SH</i><span>&nbsp;waves, with the three‐fault geometry being constrained by InSAR surface deformation observations, surface ruptures, and relocated aftershock distributions. The average rupture velocity is&nbsp;</span><span class=\"inline-formula no-formula-id\">1.5  km/s⁠</span><span>, with a peak slip of&nbsp;</span><span class=\"inline-formula no-formula-id\">∼1.6  m</span><span>&nbsp;and a&nbsp;</span><span class=\"inline-formula no-formula-id\">∼20  s</span><span>&nbsp;rupture duration. The seismic moment is&nbsp;</span><span class=\"inline-formula no-formula-id\">6.9×10<sup>18 </sup> N·m⁠</span><span>. Complex surface deformation is observed near the fault junction, with a deep near‐vertical fault and a southeast‐dipping fault at shallow depth on the western segment, along which normal‐faulting aftershocks are observed. There is a shallow slip deficit in the Nevada ruptures, probably due to the immature fault system. The causative faults had not been previously identified and are located near the transition from the Walker Lane belt to the Basin and Range province. The east–west geometry of the system is consistent with the eastward extension of the Mina Deflection of the Walker Lane north of the White Mountains.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120200327","usgsCitation":"Liu, C., Lay, T., Pollitz, F., Xu, J., and Xiong, X., 2021, Seismic and geodetic analysis of rupture characteristics of the 2020 Mw 6.5 Monte Cristo Range, Nevada, earthquake: Bulletin of the Seismological Society of America, v. 111, no. 6, p. 3226-3236, https://doi.org/10.1785/0120200327.","productDescription":"11 p.","startPage":"3226","endPage":"3236","ipdsId":"IP-124244","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":426236,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -116,\n              39.5\n            ],\n            [\n              -119.75,\n              39.5\n            ],\n            [\n              -119.75,\n              36.75\n            ],\n            [\n              -116,\n              36.75\n            ],\n            [\n              -116,\n              39.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"111","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-07-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Liu, Chengli","contributorId":334476,"corporation":false,"usgs":false,"family":"Liu","given":"Chengli","email":"","affiliations":[{"id":12433,"text":"China University of Geosciences","active":true,"usgs":false}],"preferred":false,"id":895789,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lay, Thorne","contributorId":334478,"corporation":false,"usgs":false,"family":"Lay","given":"Thorne","affiliations":[{"id":17620,"text":"UCSC","active":true,"usgs":false}],"preferred":false,"id":895790,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":895791,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Xu, Jiao","contributorId":334480,"corporation":false,"usgs":false,"family":"Xu","given":"Jiao","email":"","affiliations":[{"id":55508,"text":"Guilin University of Technology","active":true,"usgs":false}],"preferred":false,"id":895792,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Xiong, Xiong","contributorId":334482,"corporation":false,"usgs":false,"family":"Xiong","given":"Xiong","email":"","affiliations":[{"id":12433,"text":"China University of Geosciences","active":true,"usgs":false}],"preferred":false,"id":895793,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70254672,"text":"70254672 - 2021 - Evaluation of camera trap-based abundance estimators for unmarked populations","interactions":[],"lastModifiedDate":"2024-06-06T14:32:31.086132","indexId":"70254672","displayToPublicDate":"2021-07-13T09:21:25","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of camera trap-based abundance estimators for unmarked populations","docAbstract":"<p><span>Estimates of species abundance are critical to understand population processes and to assess and select management actions. However, capturing and marking individuals for abundance estimation, while providing robust information, can be economically and logistically prohibitive, particularly for species with cryptic behavior. Camera traps can be used to collect data at temporal and spatial scales necessary for estimating abundance, but the use of camera traps comes with limitations when target species are not uniquely identifiable (i.e., “unmarked”). Abundance estimation is particularly useful in the management of invasive species, with herpetofauna being recognized as some of the most pervasive and detrimental invasive vertebrate species. However, the use of camera traps for these taxa presents additional challenges with relevancy across multiple taxa. It is often necessary to use lures to attract animals in order to obtain sufficient observations, yet lure attraction can influence species’ landscape use and potentially induce bias in abundance estimators. We investigated these challenges and assessed the feasibility of obtaining reliable abundance estimates using camera-trapping data on a population of invasive brown treesnakes (</span><i>Boiga irregularis</i><span>) in Guam. Data were collected using camera traps in an enclosed area where snakes were subject to high-intensity capture–recapture effort, resulting in presumed abundance of 116 snakes (density&nbsp;=&nbsp;23/ha). We then applied spatial count, random encounter and staying time, space to event, and instantaneous sampling estimators to photo-capture data to estimate abundance and compared estimates to our presumed abundance. We found that all estimators for unmarked populations performed poorly, with inaccurate or imprecise abundance estimates that limit their usefulness for management in this system. We further investigated the sensitivity of these estimators to the use of lures (i.e., violating the assumption that animal behavior is unchanged by sampling) and camera density in a simulation study. Increasing the effective distances of a lure (i.e., lure attraction) and camera density both resulted in biased abundance estimates. Each estimator rarely recovered truth or suffered from convergence issues. Our results indicate that, when limited to unmarked estimators and the use of lures, camera traps alone are unlikely to produce abundance estimates with utility for brown treesnake management.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2410","usgsCitation":"Amburgey, S.M., Yackel Adams, A.A., Gardner, B., Hostetter, N., Siers, S., McClintock, B., and Converse, S.J., 2021, Evaluation of camera trap-based abundance estimators for unmarked populations: Ecological Applications, v. 31, no. 7, e02410, 19 p.; Data Release, https://doi.org/10.1002/eap.2410.","productDescription":"e02410, 19 p.; Data Release","ipdsId":"IP-126135","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":451529,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/eap.2410","text":"External Repository"},{"id":436279,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JV1QU5","text":"USGS data release","linkHelpText":"Camera trap data of Brown Treesnakes at mouse-lure traps on Guam, 2015"},{"id":429570,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Guam","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              144.7263145509853,\n              13.245019438123833\n            ],\n            [\n              144.77059634227533,\n              13.290387688485168\n            ],\n            [\n              144.77642289376143,\n              13.314202625351001\n            ],\n            [\n              144.77525758346417,\n              13.392435191071911\n            ],\n            [\n              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144.61970926495496,\n              13.438791850448254\n            ],\n            [\n              144.63491039075808,\n              13.42770291911647\n            ],\n            [\n              144.64320200944735,\n              13.412580564349668\n            ],\n            [\n              144.65771217498656,\n              13.407539654216748\n            ],\n            [\n              144.65736669485466,\n              13.39611319990155\n            ],\n            [\n              144.63421952601686,\n              13.363511216376494\n            ],\n            [\n              144.6324921253571,\n              13.338972795779725\n            ],\n            [\n              144.6383652876001,\n              13.22902359378324\n            ],\n            [\n              144.7263145509853,\n              13.245019438123833\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"31","issue":"7","noUsgsAuthors":false,"publicationDate":"2021-08-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Amburgey, S M 0000-0002-7100-7811","orcid":"https://orcid.org/0000-0002-7100-7811","contributorId":245926,"corporation":false,"usgs":false,"family":"Amburgey","given":"S","email":"","middleInitial":"M","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":902201,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackel Adams, Amy A. 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":3116,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy","email":"yackela@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":902202,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gardner, B.","contributorId":26793,"corporation":false,"usgs":true,"family":"Gardner","given":"B.","email":"","affiliations":[],"preferred":false,"id":902280,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hostetter, N.J.","contributorId":46347,"corporation":false,"usgs":true,"family":"Hostetter","given":"N.J.","affiliations":[],"preferred":false,"id":902203,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Siers, S.R.","contributorId":337213,"corporation":false,"usgs":false,"family":"Siers","given":"S.R.","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":902204,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McClintock, B.T.","contributorId":29108,"corporation":false,"usgs":true,"family":"McClintock","given":"B.T.","email":"","affiliations":[],"preferred":false,"id":902205,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902200,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70222449,"text":"70222449 - 2021 - An efficient method to calculate depth-integrated, phase-averaged momentum balances in non-hydrostatic models","interactions":[],"lastModifiedDate":"2021-09-07T17:19:28.836874","indexId":"70222449","displayToPublicDate":"2021-07-13T09:05:01","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2925,"text":"Ocean Modelling","active":true,"publicationSubtype":{"id":10}},"title":"An efficient method to calculate depth-integrated, phase-averaged momentum balances in non-hydrostatic models","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"d1e3147\" class=\"abstract author\"><div id=\"d1e3150\"><p id=\"d1e3151\">Analysis of the mean (wave-averaged) momentum balance is a common approach used to explain the physical forcing driving wave set-up and mean currents in the nearshore zone. Traditionally this approach has been applied to phase-averaged models but has more recently been applied to phase-resolving models using post-processing, whereby model output is used to calculate each of the momentum terms. While phase-resolving models have the advantage of capturing the nonlinear properties of waves propagating in the nearshore (making them advantageous to enhance understanding of nearshore processes), the post-processing calculation of the momentum terms does not guarantee that the momentum balance closes. We show that this is largely due to the difficulty (or impossibility) of being consistent with the numerical approach. If the residual is of a similar magnitude as any of the relevant momentum terms (which is common with post-processing methods as we show), the analysis is largely compromised. Here we present a new method to internally calculate and extract the depth-integrated, mean momentum terms in the phase-resolving non-hydrostatic wave-flow model SWASH in a manner that is consistent with the numerical implementation. Further, we demonstrate the utility of the new method with two existing physical model studies. By being consistent with the numerical framework, the internal method calculates the momentum terms with a much lower residual at computer precision, combined with greatly reduced calculation time and output storage requirements compared to post-processing techniques. The method developed here allows the accurate evaluation of the depth-integrated, mean momentum terms of wave-driven flows while taking advantage of the more complete representation of the wave dynamics offered by phase-resolving models. Furthermore, it provides an opportunity for advances in the understanding of nearshore processes particularly at more complex sites where wave nonlinearity and energy transfers are important.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ocemod.2021.101846","usgsCitation":"da Silva, R.F., Rijnsdorp, D.P., Hansen, J., Lowe, R.J., Buckley, M.L., and Zijlema, M., 2021, An efficient method to calculate depth-integrated, phase-averaged momentum balances in non-hydrostatic models: Ocean Modelling, v. 165, 101846, 18 p., https://doi.org/10.1016/j.ocemod.2021.101846.","productDescription":"101846, 18 p.","ipdsId":"IP-126521","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":451531,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.ocemod.2021.101846","text":"External Repository"},{"id":387595,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"165","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"da Silva, Renan F.","contributorId":261462,"corporation":false,"usgs":false,"family":"da Silva","given":"Renan","email":"","middleInitial":"F.","affiliations":[{"id":24588,"text":"The University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":820066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rijnsdorp, Dirk P.","contributorId":261463,"corporation":false,"usgs":false,"family":"Rijnsdorp","given":"Dirk","email":"","middleInitial":"P.","affiliations":[{"id":17614,"text":"Delft University of Technology","active":true,"usgs":false}],"preferred":false,"id":820067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Jeff E.","contributorId":146437,"corporation":false,"usgs":false,"family":"Hansen","given":"Jeff E.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":820068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lowe, Ryan J.","contributorId":152265,"corporation":false,"usgs":false,"family":"Lowe","given":"Ryan","email":"","middleInitial":"J.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":820069,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buckley, Mark L. 0000-0002-1909-4831","orcid":"https://orcid.org/0000-0002-1909-4831","contributorId":203481,"corporation":false,"usgs":true,"family":"Buckley","given":"Mark","email":"","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":820070,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zijlema, Marcel","contributorId":261465,"corporation":false,"usgs":false,"family":"Zijlema","given":"Marcel","email":"","affiliations":[{"id":17614,"text":"Delft University of Technology","active":true,"usgs":false}],"preferred":false,"id":820071,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70224970,"text":"70224970 - 2021 - Maintaining momentum for collaborative working groups in a post-pandemic world","interactions":[],"lastModifiedDate":"2021-10-11T13:21:20.07778","indexId":"70224970","displayToPublicDate":"2021-07-13T08:08:52","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6505,"text":"Nature Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Maintaining momentum for collaborative working groups in a post-pandemic world","docAbstract":"<div class=\"c-article-section__content\"><p>Scientific progress depends in part on our ability to synthesize heterogeneous data and ideas into new models and paradigms. In environmental sciences, such synthesis has been particularly effective when conducted by collaborative working groups: diverse groups of researchers and practitioners brought together for a concentrated period of collaboration on key questions. Such work is often done at synthesis centres: organizations that promote, fund, organize and host working groups and other collaborative research and training activities<sup><a id=\"ref-link-section-d5956665e652\" title=\"Baron, J. S. et al. 67, 750–759 (2017).\" href=\"https://www.nature.com/articles/s41559-021-01521-0#ref-CR1\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 1\" data-mce-href=\"https://www.nature.com/articles/s41559-021-01521-0#ref-CR1\">1</a></sup>. However, because of the COVID-19 pandemic, synthesis centres have had to rapidly adapt to supporting fully virtual working groups; the eight centres we direct supported 68 virtual working groups in the past year. Based on this experience, we conclude — contrary to a recent editorial on conferences published in this journal<sup><a id=\"ref-link-section-d5956665e656\" title=\"Nat. Ecol. Evol. 4, 1569 (2020).\" href=\"https://www.nature.com/articles/s41559-021-01521-0#ref-CR2\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 2\" data-mce-href=\"https://www.nature.com/articles/s41559-021-01521-0#ref-CR2\">2</a></sup><span>&nbsp;</span>— that virtual gatherings, while providing a bridge during the pandemic, cannot replace immersive, in-person collaborations. In-person working group meetings involve productive and varied interactions for many hours over consecutive days. We have found that virtual sessions lose effectiveness after a few hours, as participants become fatigued from staring at a screen or juggling local demands. While virtual meetings can work for short, well-delineated tasks, they are less suited for unstructured and free-flowing discussions — and thus struggle to create the social cohesion and trust known to fuel creative breakthroughs during week-long in-person meetings<sup><a id=\"ref-link-section-d5956665e660\" title=\"Hackett, E., Parker, J., Conz, D., Rhoten, D. &amp; Parker, A. In Scientific Collaboration on the Internet (eds Olson, G. et al. 277–296 (MIT Press, 2008).\" href=\"https://www.nature.com/articles/s41559-021-01521-0#ref-CR3\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 3\" data-mce-href=\"https://www.nature.com/articles/s41559-021-01521-0#ref-CR3\">3</a></sup>.</p></div>","language":"English","publisher":"Nature","doi":"10.1038/s41559-021-01521-0","usgsCitation":"Srivastava, D., Marten Winter, Gross, L., Metzger, J.P., Baron, J., Mouquet, N., Meagher, T., Halpern, B., and Pillar, V., 2021, Maintaining momentum for collaborative working groups in a post-pandemic world: Nature Ecology and Evolution, v. 5, p. 1188-1189, https://doi.org/10.1038/s41559-021-01521-0.","productDescription":"2 p.","startPage":"1188","endPage":"1189","ipdsId":"IP-129181","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":451534,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41559-021-01521-0","text":"Publisher Index Page"},{"id":390384,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","noUsgsAuthors":false,"publicationDate":"2021-07-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Srivastava, Diane","contributorId":267304,"corporation":false,"usgs":false,"family":"Srivastava","given":"Diane","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":824939,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marten Winter","contributorId":267305,"corporation":false,"usgs":false,"family":"Marten Winter","affiliations":[{"id":55469,"text":"University of Leipzig, Germany","active":true,"usgs":false}],"preferred":false,"id":824940,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gross, Louis","contributorId":267306,"corporation":false,"usgs":false,"family":"Gross","given":"Louis","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":824941,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Metzger, Jena Paul","contributorId":267307,"corporation":false,"usgs":false,"family":"Metzger","given":"Jena","email":"","middleInitial":"Paul","affiliations":[{"id":55470,"text":"University of Sao Paulo, Brazil","active":true,"usgs":false}],"preferred":false,"id":824942,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baron, Jill S. 0000-0002-5902-6251","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":215101,"corporation":false,"usgs":true,"family":"Baron","given":"Jill S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":824943,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mouquet, Nicolas","contributorId":267308,"corporation":false,"usgs":false,"family":"Mouquet","given":"Nicolas","email":"","affiliations":[{"id":55471,"text":"CESAB, Montpelier France","active":true,"usgs":false}],"preferred":false,"id":824944,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meagher, Thomas","contributorId":267309,"corporation":false,"usgs":false,"family":"Meagher","given":"Thomas","affiliations":[{"id":16945,"text":"St. Andrews University, UK","active":true,"usgs":false}],"preferred":false,"id":824945,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Halpern, Ben","contributorId":267310,"corporation":false,"usgs":false,"family":"Halpern","given":"Ben","email":"","affiliations":[{"id":27356,"text":"UC-Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":824946,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pillar, Valerio","contributorId":267311,"corporation":false,"usgs":false,"family":"Pillar","given":"Valerio","affiliations":[{"id":55472,"text":"Universidade Federal do Rio Grande do Sul, Brazil","active":true,"usgs":false}],"preferred":false,"id":824947,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70222607,"text":"70222607 - 2021 - NGA-East Ground-Motion Characterization model part I: Summary of products and model development","interactions":[],"lastModifiedDate":"2021-08-09T12:55:45.893875","indexId":"70222607","displayToPublicDate":"2021-07-13T07:53:27","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"NGA-East Ground-Motion Characterization model part I: Summary of products and model development","docAbstract":"<div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>In this article, we present an overview of the research project NGA-East, Next Generation Attenuation for Central and Eastern North America (CENA), and summarize the key methodology and products. The project was tasked with developing a new ground motion characterization (GMC) model for CENA. The final NGA-East GMC model includes a set of 17 median ground motion models (GMMs) for peak ground acceleration and velocity (PGA, PGV) and response spectral ordinates for periods ranging from 0.01 to 10 s. The NGA-East GMMs are applicable to horizontal components of ground motions on very hard rock, for the moment magnitude range of 4.0–8.2, and distances of up to 1500 km. The aleatory standard deviations of GMMs are also provided for site-specific analysis (single-station standard deviation) and for general probabilistic seismic hazard analyses (PSHA) applications (ergodic standard deviation). In addition, adjustment factors are provided for source depth and hanging-wall effects, as well as for hazard computations at sites in the Gulf Coast Region. During the course of the project, several innovative technologies were developed and implemented to increase the transparency and repeatability of the GMC building process. This involved expanding on a set of candidate median GMMs to define and capture an appropriate range of epistemic uncertainty in ground motions. We also developed a new approach for modeling the aleatory variability that was completely independent of the median GMMs. The development made extensive use of the CENA database but also borrowed data from other parts of the world when relevant and led to an integrated suite of models. Through this repeatable process, epistemic uncertainty could be quantified more objectively than before, relying less on expert opinion. The NGA-East project went through a comprehensive Seismic Senior Hazard Analysis Committee (SSHAC) Level 3 peer review process before its release.</p></div></div>","language":"English","publisher":"Earthquake Engineering Research Institute","doi":"10.1177/87552930211018723","usgsCitation":"Goulet, C.A., Bozorgnia, Y., Kuehn, N., Al Atik, L., Youngs, R., Graves, R., and Atkinson, G.M., 2021, NGA-East Ground-Motion Characterization model part I: Summary of products and model development: Earthquake Spectra, v. 37, no. 1, p. 1231-1282, https://doi.org/10.1177/87552930211018723.","productDescription":"52 p.","startPage":"1231","endPage":"1282","ipdsId":"IP-128860","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":387768,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.8203125,\n              47.754097979680026\n            ],\n            [\n              -105.8203125,\n              31.052933985705163\n            ],\n            [\n              -100.546875,\n              26.43122806450644\n            ],\n            [\n              -95.2734375,\n              26.43122806450644\n            ],\n            [\n              -89.296875,\n              26.43122806450644\n            ],\n            [\n              -82.6171875,\n              25.799891182088334\n            ],\n            [\n              -78.75,\n              26.115985925333536\n            ],\n            [\n              -76.9921875,\n              31.653381399664\n            ],\n            [\n              -73.47656249999999,\n              38.272688535980976\n            ],\n            [\n              -67.8515625,\n              41.50857729743935\n            ],\n            [\n              -59.4140625,\n              45.336701909968134\n            ],\n            [\n              -49.92187499999999,\n              47.27922900257082\n            ],\n            [\n              -56.953125,\n              53.74871079689897\n            ],\n            [\n              -62.22656249999999,\n              59.17592824927136\n            ],\n            [\n              -72.0703125,\n              62.75472592723178\n            ],\n            [\n              -81.9140625,\n              63.23362741232569\n            ],\n            [\n              -100.1953125,\n              62.431074232920906\n            ],\n            [\n              -108.6328125,\n              61.270232790000634\n            ],\n            [\n              -105.8203125,\n              47.754097979680026\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"37","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-07-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Goulet, Christine A. 0000-0002-7643-357X","orcid":"https://orcid.org/0000-0002-7643-357X","contributorId":194805,"corporation":false,"usgs":false,"family":"Goulet","given":"Christine","email":"","middleInitial":"A.","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":820721,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bozorgnia, Yousef","contributorId":40101,"corporation":false,"usgs":false,"family":"Bozorgnia","given":"Yousef","affiliations":[{"id":6643,"text":"University of California - Berkeley","active":true,"usgs":false}],"preferred":false,"id":820722,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kuehn, Nicolas","contributorId":229633,"corporation":false,"usgs":false,"family":"Kuehn","given":"Nicolas","email":"","affiliations":[{"id":6772,"text":"UC Los Angeles","active":true,"usgs":false}],"preferred":false,"id":820723,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Al Atik, Linda","contributorId":140526,"corporation":false,"usgs":false,"family":"Al Atik","given":"Linda","email":"","affiliations":[],"preferred":false,"id":820724,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Youngs, Robert","contributorId":140544,"corporation":false,"usgs":false,"family":"Youngs","given":"Robert","affiliations":[],"preferred":false,"id":820727,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Graves, Robert 0000-0001-9758-453X rwgraves@usgs.gov","orcid":"https://orcid.org/0000-0001-9758-453X","contributorId":140738,"corporation":false,"usgs":true,"family":"Graves","given":"Robert","email":"rwgraves@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":820726,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Atkinson, Gail M.","contributorId":60515,"corporation":false,"usgs":false,"family":"Atkinson","given":"Gail","email":"","middleInitial":"M.","affiliations":[{"id":13255,"text":"University of Western Ontario","active":true,"usgs":false}],"preferred":false,"id":820725,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70248348,"text":"70248348 - 2021 - Southwestern bats and their external bacteria","interactions":[],"lastModifiedDate":"2023-09-08T12:24:53.620346","indexId":"70248348","displayToPublicDate":"2021-07-13T07:23:13","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Southwestern bats and their external bacteria","docAbstract":"<div class=\"div0\"><div class=\"row ArticleContentRow\"><p>Bat species diversity within the United States is greatest in the Southwest, with approximately 30 species present. At least 16 of these bat species hibernate and are susceptible to white-nose syndrome (WNS), which is caused by the fungus<span>&nbsp;</span><i>Pseudogymnoascus destructans</i>. Since 2006, millions of bats from 35 U.S. states and 7 Canadian provinces have died from WNS. In previous studies of external surfaces of bats sampled from southwestern states, Actinobacteria were detected that were shown to have antifungal properties against<span>&nbsp;</span><i>P. destructans</i><span>&nbsp;</span>in laboratory testing. These studies motivated us to expand our research to sites that represent possible gateways for<span>&nbsp;</span><i>P. destructans</i><span>&nbsp;</span>to enter the Southwest so that we could establish a baseline of bat microbiota before the arrival of WNS. We surveyed for the presence of bats and their external microbiota at 3 national parks and monuments located in southeastern Colorado and northeastern New Mexico. Our results document new occurrence records of bat species and their external bacteria at each sampling location. Additionally, we provide insight on the composition of bat external microbiota in the absence of<span>&nbsp;</span><i>P. destructans</i>, while revealing information about the<span>&nbsp;</span><i>Streptomyces</i><span>&nbsp;</span>and other possible native defenses of bats against<span>&nbsp;</span><i>P. destructans</i><span>&nbsp;</span>at a gateway into the Southwest.</p></div></div>","language":"English","publisher":"BioOne","doi":"10.3398/064.081.0206","usgsCitation":"Valdez, E.W., Johnson, E.M., Strach, E.W., Lewis, P.A., Briggs, W., Caimi, N.A., Winter, A.S., Northup, D.E., and Hathaway, J.J., 2021, Southwestern bats and their external bacteria: Western North American Naturalist, v. 81, no. 2, p. 207-224, https://doi.org/10.3398/064.081.0206.","productDescription":"18 p.","startPage":"207","endPage":"224","ipdsId":"IP-099392","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":503834,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zotero.org/groups/5435545/items/5GRFJEA5","text":"External Repository"},{"id":420658,"type":{"id":24,"text":"Thumbnail"},"url":"http://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Valdez, Ernest W. 0000-0002-7262-3069 ernie@usgs.gov","orcid":"https://orcid.org/0000-0002-7262-3069","contributorId":3600,"corporation":false,"usgs":true,"family":"Valdez","given":"Ernest","email":"ernie@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":882642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Emily M.","contributorId":329576,"corporation":false,"usgs":false,"family":"Johnson","given":"Emily","email":"","middleInitial":"M.","affiliations":[{"id":33800,"text":"University of New Mexico (UNM)","active":true,"usgs":false}],"preferred":false,"id":882643,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Strach, Edward W.","contributorId":329578,"corporation":false,"usgs":false,"family":"Strach","given":"Edward","email":"","middleInitial":"W.","affiliations":[{"id":16658,"text":"UNM","active":true,"usgs":false}],"preferred":false,"id":882644,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lewis, Patrick A.","contributorId":329580,"corporation":false,"usgs":false,"family":"Lewis","given":"Patrick","email":"","middleInitial":"A.","affiliations":[{"id":16658,"text":"UNM","active":true,"usgs":false}],"preferred":false,"id":882645,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Briggs, William C","contributorId":329582,"corporation":false,"usgs":false,"family":"Briggs","given":"William C","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":882646,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Caimi, Nicole A.","contributorId":193655,"corporation":false,"usgs":false,"family":"Caimi","given":"Nicole","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":882647,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Winter, Ara S.","contributorId":199826,"corporation":false,"usgs":false,"family":"Winter","given":"Ara","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":882648,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Northup, Diana E.","contributorId":193656,"corporation":false,"usgs":false,"family":"Northup","given":"Diana","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":882649,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hathaway, Jennifer J.M.","contributorId":329573,"corporation":false,"usgs":false,"family":"Hathaway","given":"Jennifer","email":"","middleInitial":"J.M.","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":882650,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70227321,"text":"70227321 - 2021 - Selection of random vibration theory procedures for the NGA-East project and ground-motion modeling","interactions":[],"lastModifiedDate":"2022-01-10T13:23:28.38076","indexId":"70227321","displayToPublicDate":"2021-07-13T07:19:12","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Selection of random vibration theory procedures for the NGA-East project and ground-motion modeling","docAbstract":"<div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>Traditional ground-motion models (GMMs) are used to compute pseudo-spectral acceleration (PSA) from future earthquakes and are generally developed by regression of PSA using a physics-based functional form. PSA is a relatively simple metric that correlates well with the response of several engineering systems and is a metric commonly used in engineering evaluations; however, characteristics of the PSA calculation make application of scaling factors dependent on the frequency content of the input motion, complicating the development and adaptability of GMMs. By comparison, Fourier amplitude spectrum (FAS) represents ground-motion amplitudes that are completely independent from the amplitudes at other frequencies, making them an attractive alternative for GMM development. Random vibration theory (RVT) predicts the peak response of motion in the time domain based on the FAS and a duration, and thus can be used to relate FAS to PSA. Using RVT to compute the expected peak response in the time domain for given FAS therefore presents a significant advantage that is gaining traction in the GMM field. This article provides recommended RVT procedures relevant to GMM development, which were developed for the Next Generation Attenuation (NGA)-East project. In addition, an orientation-independent FAS metric—called the effective amplitude spectrum (EAS)—is developed for use in conjunction with RVT to preserve the mean power of the corresponding two horizontal components considered in traditional PSA-based modeling (i.e., RotD50). The EAS uses a standardized smoothing approach to provide a practical representation of the FAS for ground-motion modeling, while minimizing the impact on the four RVT properties (<i>zeroth</i><span>&nbsp;</span>moment,<span>&nbsp;</span><span class=\"equationTd\">m0</span>; bandwidth parameter,<span>&nbsp;</span><span class=\"equationTd\">δ</span>; frequency of zero crossings,<span>&nbsp;</span><span class=\"equationTd\">fz</span>; and frequency of extrema,<span>&nbsp;</span><span class=\"equationTd\">fe</span>). Although the recommendations were originally developed for NGA-East, they and the methodology they are based on can be adapted to become portable to other GMM and engineering problems requiring the computation of PSA from FAS.</p></div></div>","language":"English","publisher":"Sage Publications","doi":"10.1177/87552930211019052","usgsCitation":"Kottke, A.R., Abrahamson, N., Boore, D., Bozorgina, Y., Goulet, C.A., Hollenback, J., Kishida, T., Ktenidou, O., Rathje, E., Silva, W., Thompson, E.M., and Wang, X., 2021, Selection of random vibration theory procedures for the NGA-East project and ground-motion modeling: Earthquake Spectra, v. 37, no. 1, p. 1420-1439, https://doi.org/10.1177/87552930211019052.","productDescription":"20 p.","startPage":"1420","endPage":"1439","ipdsId":"IP-129456","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":394095,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-07-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Kottke, Albert R.","contributorId":271023,"corporation":false,"usgs":false,"family":"Kottke","given":"Albert","email":"","middleInitial":"R.","affiliations":[{"id":56254,"text":"Pacific Gas & Electric, San Francisco, CA 94105","active":true,"usgs":false}],"preferred":false,"id":830440,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abrahamson, Norman A.","contributorId":45202,"corporation":false,"usgs":false,"family":"Abrahamson","given":"Norman A.","affiliations":[{"id":13174,"text":"Pacific Gas & Electric","active":true,"usgs":false}],"preferred":false,"id":830441,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boore, David 0000-0002-8605-9673 boore@usgs.gov","orcid":"https://orcid.org/0000-0002-8605-9673","contributorId":140502,"corporation":false,"usgs":true,"family":"Boore","given":"David","email":"boore@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":830442,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bozorgina, Yousef","contributorId":271024,"corporation":false,"usgs":false,"family":"Bozorgina","given":"Yousef","email":"","affiliations":[{"id":56148,"text":"University of California, Los Angeles, CA 90095","active":true,"usgs":false}],"preferred":false,"id":830443,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goulet, Christine A. 0000-0002-7643-357X","orcid":"https://orcid.org/0000-0002-7643-357X","contributorId":194805,"corporation":false,"usgs":false,"family":"Goulet","given":"Christine","email":"","middleInitial":"A.","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":830444,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hollenback, Justin","contributorId":271025,"corporation":false,"usgs":false,"family":"Hollenback","given":"Justin","email":"","affiliations":[],"preferred":false,"id":830445,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kishida, Tadahiro","contributorId":140538,"corporation":false,"usgs":false,"family":"Kishida","given":"Tadahiro","email":"","affiliations":[{"id":6643,"text":"University of California - Berkeley","active":true,"usgs":false}],"preferred":false,"id":830446,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ktenidou, Olga-Joan","contributorId":271026,"corporation":false,"usgs":false,"family":"Ktenidou","given":"Olga-Joan","email":"","affiliations":[{"id":56255,"text":"National Observatory of Athens","active":true,"usgs":false}],"preferred":false,"id":830447,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rathje, Ellen 0000-0002-4169-7153","orcid":"https://orcid.org/0000-0002-4169-7153","contributorId":197024,"corporation":false,"usgs":false,"family":"Rathje","given":"Ellen","email":"","affiliations":[],"preferred":false,"id":830448,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Silva, Walt","contributorId":271027,"corporation":false,"usgs":false,"family":"Silva","given":"Walt","email":"","affiliations":[{"id":56256,"text":"Pacific Engineering & Analysis","active":true,"usgs":false}],"preferred":false,"id":830449,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":150897,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":830450,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wang, Xiaoyue","contributorId":271028,"corporation":false,"usgs":false,"family":"Wang","given":"Xiaoyue","email":"","affiliations":[{"id":56257,"text":"Geosyntec Consultants, Inc.","active":true,"usgs":false}],"preferred":false,"id":830451,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70227890,"text":"70227890 - 2021 - Ecological correlates of fecal corticosterone metabolites in female Greater Sage-Grouse (Centrococercus urophasianus)","interactions":[],"lastModifiedDate":"2022-02-01T16:44:04.82136","indexId":"70227890","displayToPublicDate":"2021-07-12T10:37:02","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1176,"text":"Canadian Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Ecological correlates of fecal corticosterone metabolites in female Greater Sage-Grouse (<i>Centrococercus urophasianus</i>)","title":"Ecological correlates of fecal corticosterone metabolites in female Greater Sage-Grouse (Centrococercus urophasianus)","docAbstract":"Measurement of physiological responses can reveal effects of ecological conditions on\nan animal and correlate with demographic parameters. Ecological conditions for many animal\nspecies have deteriorated as a function of invasive plants and habitat fragmentation. Expansion\nof juniper (Juniperus spp.) trees and invasion of annual grasses into sagebrush (Artemisia spp.)\necosystems have contributed to habitat degradation for Greater Sage-Grouse (Centrococercus\nurophasianus (Bonaparte, 1827); hereafter, “Sage-Grouse”), a species of conservation concern\nthroughout its range. We evaluated relationships between habitat use in a landscape modified by juniper expansion and annual grasses and corticosterone metabolite levels (stress responses) in feces (FCORTm) of female Sage-Grouse.  We used remotely sensed data to estimate vegetation cover within hens’ home ranges and accounted for factors that influence FCORTm in other vertebrates, such as age and weather. We collected 36 fecal samples from 22 radio-collared hens during the brood-rearing season (24 May–26 July) in southwestern Idaho 2017–18. Concentrations of corticosterone increased with home range size but decreased with reproductive effort and temperature. The importance of home range size suggests that maintaining or improving habitats that promote smaller home ranges would likely facilitate a lower stress response by hens, which should benefit Sage-Grouse survival and reproduction.","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjz-2020-0258","usgsCitation":"Rabon, J.C., Nunez, C., Coates, P.S., Ricca, M.A., and Johnson, T.N., 2021, Ecological correlates of fecal corticosterone metabolites in female Greater Sage-Grouse (Centrococercus urophasianus): Canadian Journal of Zoology, v. 99, no. 9, p. 812-822, https://doi.org/10.1139/cjz-2020-0258.","productDescription":"11 p.","startPage":"812","endPage":"822","ipdsId":"IP-129805","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":395211,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.49902343749999,\n              45.61403741135093\n            ],\n            [\n              -116.883544921875,\n              45.058001435398275\n            ],\n            [\n              -116.883544921875,\n              44.95702412512118\n            ],\n            [\n              -116.98242187499999,\n              44.80132682904856\n            ],\n            [\n              -117.04833984375001,\n              44.77013681219717\n            ],\n            [\n              -117.27905273437499,\n              44.4808302785626\n            ],\n            [\n              -117.257080078125,\n              44.268804788566165\n            ],\n            [\n              -117.13623046874999,\n              44.213709909702054\n            ],\n            [\n              -116.927490234375,\n              44.134913443750726\n            ],\n            [\n              -117.05932617187499,\n              43.858296779161826\n            ],\n            [\n              -117.05932617187499,\n              42.00032514831621\n            ],\n            [\n              -114.071044921875,\n              41.9921602333763\n            ],\n            [\n              -114.14794921875,\n              45.66012730272194\n            ],\n            [\n              -116.49902343749999,\n              45.61403741135093\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"99","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rabon, Jordan C.","contributorId":223734,"corporation":false,"usgs":false,"family":"Rabon","given":"Jordan","email":"","middleInitial":"C.","affiliations":[{"id":40761,"text":"Department of Fish and Wildlife Sciences, University of Idaho, Moscow, ID 83844","active":true,"usgs":false}],"preferred":false,"id":832475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nunez, Cassandra","contributorId":273037,"corporation":false,"usgs":false,"family":"Nunez","given":"Cassandra","email":"","affiliations":[{"id":56418,"text":"University of Memphis, 3774 Walker Avenue, Memphis, TN 38152, USA.","active":true,"usgs":false}],"preferred":false,"id":832476,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":832477,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ricca, Mark A. 0000-0003-1576-513X mark_ricca@usgs.gov","orcid":"https://orcid.org/0000-0003-1576-513X","contributorId":139103,"corporation":false,"usgs":true,"family":"Ricca","given":"Mark","email":"mark_ricca@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":832478,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Tracey N. 0000-0003-3480-8596","orcid":"https://orcid.org/0000-0003-3480-8596","contributorId":223735,"corporation":false,"usgs":false,"family":"Johnson","given":"Tracey","email":"","middleInitial":"N.","affiliations":[{"id":40761,"text":"Department of Fish and Wildlife Sciences, University of Idaho, Moscow, ID 83844","active":true,"usgs":false}],"preferred":false,"id":832479,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70229379,"text":"70229379 - 2021 - A case for multiscale habitat selection studies of small mammals","interactions":[],"lastModifiedDate":"2022-03-04T15:29:53.836594","indexId":"70229379","displayToPublicDate":"2021-07-12T09:18:48","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"A case for multiscale habitat selection studies of small mammals","docAbstract":"<p class=\"chapter-para\">Habitat information for small mammals typically consists of anecdotal descriptions or infrequent analyses of habitat use, which often are reported erroneously as signifying habitat preference, requirements, or quality. Habitat preferences can be determined only by analysis of habitat selection, a behavioral process that results in the disproportionate use of one resource over other available resources and occurs in a hierarchical manner across different environmental scales. North American chipmunks (<i>Neotamias</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Tamias</i>) are a prime example of the lack of studies on habitat selection for small mammal species. We used the Organ Mountains Colorado chipmunk (<i>N. quadrivittatus australis</i>) as a case study to determine whether previous descriptions of habitat in the literature were upheld in a multiscale habitat selection context. We tracked VHF radiocollared chipmunks and collected habitat information at used and available locations to analyze habitat selection at three scales: second order (i.e., home range), third order (i.e., within home range), and microhabitat scales. Mean home range was 2.55 ha ± 1.55<span>&nbsp;</span><i>SD</i><span>&nbsp;</span>and did not differ between sexes. At the second and third order,<span>&nbsp;</span><i>N. q. australis</i><span>&nbsp;</span>avoided a coniferous forest land cover type and favored particular areas of arroyos (gullies) that were relatively steep-sided and greener and contained montane scrub land cover type. At the microhabitat scale, chipmunks selected areas that had greater woody plant diversity, rock ground cover, and ground cover of coarse woody debris. We concluded that habitat selection by<span>&nbsp;</span><i>N. q. australis</i><span>&nbsp;</span>fundamentally was different from descriptions of habitat in the literature that described<span>&nbsp;</span><i>N. quadrivittatus</i><span>&nbsp;</span>as primarily associated with coniferous forests. We suggest that arroyos, which are unique and rare on the landscape, function as climate refugia for these chipmunks because they create a cool, wet microclimate. Our findings demonstrate the importance of conducting multiscale habitat selection studies for small mammals to ensure that defensible and enduring habitat information is available to support appropriate conservation and management actions.</p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/jmammal/gyab071","usgsCitation":"Schweiger, B.R., Frey, J., and Cain, J.W., 2021, A case for multiscale habitat selection studies of small mammals: Journal of Mammalogy, v. 102, no. 5, p. 1249-1265, https://doi.org/10.1093/jmammal/gyab071.","productDescription":"17 p.","startPage":"1249","endPage":"1265","ipdsId":"IP-124591","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":451542,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyab071","text":"Publisher Index Page"},{"id":396751,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","county":"Doña Ana County","otherGeospatial":"Aguirre Springs Recreation Area, Organ Mountains-Desert Peaks National Monument","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -107.28424072265625,\n              32.298741441902436\n            ],\n            [\n              -107.28492736816406,\n              32.29409809657151\n            ],\n            [\n              -107.16407775878905,\n              32.29351766168111\n            ],\n            [\n              -107.15721130371094,\n              32.329497595877655\n            ],\n            [\n              -107.16133117675781,\n              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]\n}","volume":"102","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-07-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Schweiger, Brittany R.","contributorId":287961,"corporation":false,"usgs":false,"family":"Schweiger","given":"Brittany","email":"","middleInitial":"R.","affiliations":[{"id":27575,"text":"NMSU","active":true,"usgs":false}],"preferred":false,"id":837233,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frey, Jennifer K.","contributorId":272954,"corporation":false,"usgs":false,"family":"Frey","given":"Jennifer K.","affiliations":[{"id":27575,"text":"NMSU","active":true,"usgs":false}],"preferred":false,"id":837234,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":837232,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70238959,"text":"70238959 - 2021 - Toward climate change refugia conservation at an ecoregion scale","interactions":[],"lastModifiedDate":"2022-12-19T13:35:33.868455","indexId":"70238959","displayToPublicDate":"2021-07-12T07:16:30","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Toward climate change refugia conservation at an ecoregion scale","docAbstract":"<p><span>Climate change uncertainty poses serious challenges to conservation efforts. One emerging conservation strategy is to identify and conserve climate change refugia: areas relatively buffered from contemporary climate change that enable persistence of valued resources. This management paradigm may be pursued at broad scales by leveraging existing resources and placing them into a tangible framework to stimulate further collaboration that fosters management decision-making. Here, we describe a framework for moving toward operationalizing climate change refugia conservation at an ecoregion scale with an analysis for the Sierra Nevada ecoregion (CA, USA). Structured within the Climate Change Refugia Conservation Cycle, we identify a preliminary suite of conservation priorities for the ecoregion, and demonstrate how existing mapping, data, and applications could be used for identifying, prioritizing, managing, and monitoring refugia. We focus on six stakeholder-identified conservation priorities, including two process-based refugial priorities (snow and fire), and four ecosystem-based refugial priorities (meadows, giant sequoia, old growth forests, and alpine communities). This pilot overview of concepts and resources provides a foundation for both near-term implementation and further discussion in moving from science to conservation practice. Such an approach may provide new practical insights for ecosystem management at ecoregion scales in the face of climate change.</span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.497","usgsCitation":"Balantic, C., Adams, A., Gross, S., Mazur, R., Sawyer, S., Tucker, J., Vernon, M., Mengelt, C., Morales, J., Thorne, J., Brown, T., Athearn, N., and Morelli, T.L., 2021, Toward climate change refugia conservation at an ecoregion scale: Conservation Science and Practice, v. 3, no. 9, e497, 24 p., https://doi.org/10.1111/csp2.497.","productDescription":"e497, 24 p.","ipdsId":"IP-128761","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":489213,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.497","text":"Publisher Index Page"},{"id":410696,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sierra Nevada ecoregion","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.03987325785613,\n              39.01663473276963\n            ],\n            [\n              -120.01954922760333,\n              40.14883470967183\n            ],\n            [\n              -120.65149580453533,\n              40.78516989061043\n            ],\n            [\n              -120.80215805085624,\n              41.05636256249241\n            ],\n            [\n              -121.66767117439343,\n              40.83184534321225\n            ],\n            [\n              -121.97790409729708,\n              40.464257877580366\n 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Barbara","active":true,"usgs":false}],"preferred":false,"id":859376,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gross, Shana","contributorId":223739,"corporation":false,"usgs":false,"family":"Gross","given":"Shana","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":859377,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mazur, Rachel","contributorId":300076,"corporation":false,"usgs":false,"family":"Mazur","given":"Rachel","email":"","affiliations":[{"id":28107,"text":"Yosemite National Park","active":true,"usgs":false}],"preferred":false,"id":859378,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sawyer, Sarah","contributorId":210922,"corporation":false,"usgs":false,"family":"Sawyer","given":"Sarah","email":"","affiliations":[{"id":36400,"text":"US Forest 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Washington, D.C., 20001, USA","active":true,"usgs":false}],"preferred":false,"id":859382,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Morales, Jennifer","contributorId":300081,"corporation":false,"usgs":false,"family":"Morales","given":"Jennifer","email":"","affiliations":[{"id":37342,"text":"California Department of Water Resources","active":true,"usgs":false}],"preferred":false,"id":859383,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Thorne, James","contributorId":52444,"corporation":false,"usgs":true,"family":"Thorne","given":"James","affiliations":[],"preferred":false,"id":859384,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Brown, Timothy","contributorId":300083,"corporation":false,"usgs":false,"family":"Brown","given":"Timothy","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":859385,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Athearn, Nicole","contributorId":300084,"corporation":false,"usgs":false,"family":"Athearn","given":"Nicole","affiliations":[{"id":28107,"text":"Yosemite National Park","active":true,"usgs":false}],"preferred":false,"id":859386,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Morelli, Toni Lyn 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":197458,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"Lyn","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":859387,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70225605,"text":"70225605 - 2021 - Twenty-five essential research questions to inform the protection and restoration of freshwater biodiversity","interactions":[],"lastModifiedDate":"2021-10-27T12:16:04.834301","indexId":"70225605","displayToPublicDate":"2021-07-12T07:11:53","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":862,"text":"Aquatic Conservation: Marine and Freshwater Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Twenty-five essential research questions to inform the protection and restoration of freshwater biodiversity","docAbstract":"<ol class=\"\"><li>Freshwater biodiversity is declining at an unprecedented rate. Freshwater conservationists and environmental managers have enough evidence to demonstrate that action must not be delayed but have insufficient evidence to identify those actions that will be most effective in reversing the current trend.</li><li>Here, the focus is on identifying essential research topics that, if addressed, will contribute directly to restoring freshwater biodiversity through supporting ‘bending the curve’ actions (i.e. those actions leading to the recovery of freshwater biodiversity, not simply deceleration of the current downward trend).</li><li>The global freshwater research and management community was asked to identify unanswered research questions that could address knowledge gaps and barriers associated with ‘bending the curve’ actions. The resulting list was refined into six themes and 25 questions.</li><li>Although context-dependent and potentially limited in global reach, six overarching themes were identified: (i) learning from successes and failures; (ii) improving current practices; (iii) balancing resource needs; (iv) rethinking built environments; (v) reforming policy and investments; and (vi) enabling transformative change.</li><li>Bold, efficient, science-based actions are necessary to reverse biodiversity loss. We believe that conservation actions will be most effective when supported by sound evidence, and that research and action must complement one another. These questions are intended to guide global freshwater researchers and conservation practitioners, identify key projects and signal research needs to funders and governments. Our questions can act as springboards for multidisciplinary and multisectoral collaborations that will improve the management and restoration of freshwater biodiversity.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1002/aqc.3634","usgsCitation":"Harper, M., Mejbel, H.S., Longert, D., Abell, R., Beard, Bennett, J.R., Carlson, S.M., Darwall, W., Dell, A., Domisch, S., Dudgeon, D., Freyhof, J., Harrison, I., Hughes, K.A., Jahnig, S.C., Jeschke, J., Lansdown, R., Lintermans, M., Lynch, A., Meredith, H.M., Molur, S., Olden, J., Ormerod, S.J., Patricio, H., Reid, A.J., Schmidt-Kloiber, A., Thieme, M., Tickner, D., Turak, E., Weyl, O.L., and Cooke, S.J., 2021, Twenty-five essential research questions to inform the protection and restoration of freshwater biodiversity: Aquatic Conservation: Marine and Freshwater Ecosystems, v. 9, no. 31, p. 2632-2653, https://doi.org/10.1002/aqc.3634.","productDescription":"22 p.","startPage":"2632","endPage":"2653","ipdsId":"IP-121462","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":451544,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://orca.cardiff.ac.uk/id/eprint/141265/","text":"External Repository"},{"id":391003,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"31","noUsgsAuthors":false,"publicationDate":"2021-07-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Harper, Meagan","contributorId":268097,"corporation":false,"usgs":false,"family":"Harper","given":"Meagan","email":"","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":825830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mejbel, Hebah S.","contributorId":268098,"corporation":false,"usgs":false,"family":"Mejbel","given":"Hebah","email":"","middleInitial":"S.","affiliations":[{"id":39169,"text":"University of Ottawa","active":true,"usgs":false}],"preferred":false,"id":825831,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Longert, Dylan","contributorId":268099,"corporation":false,"usgs":false,"family":"Longert","given":"Dylan","email":"","affiliations":[{"id":39169,"text":"University of Ottawa","active":true,"usgs":false}],"preferred":false,"id":825832,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Abell, Robin","contributorId":152400,"corporation":false,"usgs":false,"family":"Abell","given":"Robin","affiliations":[],"preferred":false,"id":825833,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beard, Jr. 0000-0003-2632-2350 dbeard@usgs.gov","orcid":"https://orcid.org/0000-0003-2632-2350","contributorId":169459,"corporation":false,"usgs":true,"family":"Beard","suffix":"Jr.","email":"dbeard@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":825907,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bennett, Joseph R.","contributorId":268100,"corporation":false,"usgs":false,"family":"Bennett","given":"Joseph","email":"","middleInitial":"R.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":825834,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Carlson, Stephanie M.","contributorId":250652,"corporation":false,"usgs":false,"family":"Carlson","given":"Stephanie","email":"","middleInitial":"M.","affiliations":[{"id":6643,"text":"University of California - 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R.","contributorId":268110,"corporation":false,"usgs":false,"family":"Meredith","given":"Helen","email":"","middleInitial":"M. R.","affiliations":[{"id":55552,"text":"Amphibian Survival Alliance","active":true,"usgs":false}],"preferred":false,"id":825848,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Molur, Sanjay","contributorId":268112,"corporation":false,"usgs":false,"family":"Molur","given":"Sanjay","affiliations":[{"id":55553,"text":"Zoo Outreach Organization","active":true,"usgs":false}],"preferred":false,"id":825849,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Olden, Julian D.","contributorId":202893,"corporation":false,"usgs":false,"family":"Olden","given":"Julian D.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":825850,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Ormerod, Steve J.","contributorId":259328,"corporation":false,"usgs":false,"family":"Ormerod","given":"Steve","email":"","middleInitial":"J.","affiliations":[{"id":17940,"text":"Cardiff University","active":true,"usgs":false}],"preferred":false,"id":825851,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Patricio, Harmony","contributorId":268114,"corporation":false,"usgs":false,"family":"Patricio","given":"Harmony","affiliations":[{"id":40831,"text":"IUCN","active":true,"usgs":false}],"preferred":false,"id":825852,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Reid, Andrea J.","contributorId":221029,"corporation":false,"usgs":false,"family":"Reid","given":"Andrea","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":825853,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Schmidt-Kloiber, Astrid","contributorId":268116,"corporation":false,"usgs":false,"family":"Schmidt-Kloiber","given":"Astrid","email":"","affiliations":[{"id":34867,"text":"University of Natural Resources and Life Sciences","active":true,"usgs":false}],"preferred":false,"id":825854,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Thieme, Michele","contributorId":213687,"corporation":false,"usgs":false,"family":"Thieme","given":"Michele","affiliations":[{"id":37767,"text":"World Wildlife Fund","active":true,"usgs":false}],"preferred":false,"id":825855,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Tickner, David","contributorId":224152,"corporation":false,"usgs":false,"family":"Tickner","given":"David","email":"","affiliations":[{"id":37767,"text":"World Wildlife Fund","active":true,"usgs":false}],"preferred":false,"id":825856,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Turak, Eren","contributorId":268117,"corporation":false,"usgs":false,"family":"Turak","given":"Eren","email":"","affiliations":[{"id":55555,"text":"NSW Department of Planning, Industry and the Environment","active":true,"usgs":false}],"preferred":false,"id":825857,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Weyl, Olaf L. F.","contributorId":250648,"corporation":false,"usgs":false,"family":"Weyl","given":"Olaf","email":"","middleInitial":"L. F.","affiliations":[{"id":48725,"text":"South African Institute for Aquatic Biodiversity","active":true,"usgs":false}],"preferred":false,"id":825858,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Cooke, Steve J.","contributorId":220492,"corporation":false,"usgs":false,"family":"Cooke","given":"Steve","email":"","middleInitial":"J.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":825859,"contributorType":{"id":1,"text":"Authors"},"rank":31}]}}
,{"id":70224340,"text":"70224340 - 2021 - Responses of soil extracellular enzyme activities and bacterial community composition to seasonal stages of drought in a semiarid grassland","interactions":[],"lastModifiedDate":"2021-09-23T12:02:51.662738","indexId":"70224340","displayToPublicDate":"2021-07-12T06:59:38","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1760,"text":"Geoderma","active":true,"publicationSubtype":{"id":10}},"title":"Responses of soil extracellular enzyme activities and bacterial community composition to seasonal stages of drought in a semiarid grassland","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\" lang=\"en\"><div id=\"as010\"><p id=\"sp0010\">Extreme drought can strongly impact belowground communities and biogeochemical processes, including soil microbial community composition and extracellular enzyme activities (EEAs), which are considered key agents in ecosystem carbon (C) and nutrient cycling. However, our understanding of how seasonal timing of drought during the growing season affects soil microbial communities and their activity remains notably poor. In this study, we investigated the responses of soil physicochemical properties, EEAs, and bacterial community composition to extreme-duration drought imposed in the early-, mid-, or late-stages of the growing season in a semiarid grassland ecosystem in Inner Mongolia, China. Compared with the ambient control, the activities of C-, nitrogen (N)-, and phosphorus (P)-acquisition enzymes were significantly decreased in the mid- and/or late-stages of drought. Bacterial community diversity also significantly decreased in the mid- and late-stage drought treatments. Soil water content was the most important factor explaining changes in soil EEAs and bacterial community composition. At the end of the growing season, the activities of C-, N-, and P-acquisition enzymes had mostly recovered, while the bacterial community diversity in the mid- and late-stage drought treatments was still lower than the ambient control. Overall, our study demonstrates that the effects of extreme drought on soil EEAs and bacterial community composition depend on the timing of drought. Our results highlight that understanding the effects of extreme-duration drought at different stages of the growing season may play a vital role in predicting the responses of belowground function to global changes in grassland ecosystems.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geoderma.2021.115327","usgsCitation":"Gao, W., Reed, S., Munson, S.M., Rui, Y., Fan, W., Zheng, Z., Li, L., Che, R., Xue, K., Du, J., Cui, X., Wang, Y., and Hao, Y., 2021, Responses of soil extracellular enzyme activities and bacterial community composition to seasonal stages of drought in a semiarid grassland: Geoderma, v. 401, 115327, 11 p., https://doi.org/10.1016/j.geoderma.2021.115327.","productDescription":"115327, 11 p.","ipdsId":"IP-127998","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":451546,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geoderma.2021.115327","text":"Publisher Index Page"},{"id":389632,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"401","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gao, Wenlan","contributorId":265948,"corporation":false,"usgs":false,"family":"Gao","given":"Wenlan","email":"","affiliations":[{"id":54838,"text":"College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China","active":true,"usgs":false}],"preferred":false,"id":823826,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":205372,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science 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of Sciences, Beijing 100049, China","active":true,"usgs":false}],"preferred":false,"id":823832,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Che, Rongxiao","contributorId":265952,"corporation":false,"usgs":false,"family":"Che","given":"Rongxiao","email":"","affiliations":[{"id":54840,"text":"Institude of International Rivers and Eco-security, Yunnan University, Kunming, Yunnan 650091, China.","active":true,"usgs":false}],"preferred":false,"id":823833,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Xue, Kai","contributorId":265953,"corporation":false,"usgs":false,"family":"Xue","given":"Kai","email":"","affiliations":[{"id":54841,"text":"Yanshan Earth Critical Zone and Surface Fluxes Research Station, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing 100049, China","active":true,"usgs":false}],"preferred":false,"id":823834,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Du, Jianqing","contributorId":265954,"corporation":false,"usgs":false,"family":"Du","given":"Jianqing","email":"","affiliations":[{"id":54838,"text":"College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China","active":true,"usgs":false}],"preferred":false,"id":823835,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Cui, Xiaoyong","contributorId":225533,"corporation":false,"usgs":false,"family":"Cui","given":"Xiaoyong","email":"","affiliations":[],"preferred":false,"id":823836,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wang, Yanfen","contributorId":265955,"corporation":false,"usgs":false,"family":"Wang","given":"Yanfen","email":"","affiliations":[{"id":54838,"text":"College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China","active":true,"usgs":false}],"preferred":false,"id":823837,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hao, Yanbin","contributorId":225529,"corporation":false,"usgs":false,"family":"Hao","given":"Yanbin","email":"","affiliations":[],"preferred":false,"id":823838,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70221838,"text":"70221838 - 2021 - Optimizing preservation for multiple types of historic structures under climate change","interactions":[],"lastModifiedDate":"2021-07-13T09:54:47.042075","indexId":"70221838","displayToPublicDate":"2021-07-12T06:41:11","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2603,"text":"Landscape and Urban Planning","active":true,"publicationSubtype":{"id":10}},"title":"Optimizing preservation for multiple types of historic structures under climate change","docAbstract":"<p><span>Cultural resources in coastal parks and recreation areas are vulnerable to climate change. The US National Park Service (NPS) is facing the challenge of insufficient budget allocations for both maintenance and climate adaptation of historic structures. Research on adaptation planning for cultural resources has predominately focused on vulnerability assessments of heritage sites; however, few studies integrate multiple factors (e.g., vulnerability, cultural significance, use potential, and costs) that managers should consider when making tradeoff decisions about which cultural resources to prioritize for adaptation. Moreover, heritage sites typically include multiple types of cultural resources, and researchers have yet to examine such complex tradeoffs. This study applies the Optimal Preservation (OptiPres) Model as a decision support framework to evaluate the tradeoffs of adaptation actions among multiple types of historic structures—wooden buildings, masonry and concrete buildings, forts, and batteries—under varying budget scenarios. Results suggest that the resource values of different types of historic structures vary greatly under a range of budget scenarios, and tradeoffs have to be made among different types of historical structures to achieve optimal planning objectives. Moreover, periodic, incremental funding and partial maintenance are identified as optimal funding strategies for preservation needs of cost-intensive historic structures. Also, adaptative use of historical buildings (e.g., building occupancy) can improve the resource values when budgets are constrained. The OptiPres Model provides managers with a unique framework to inform adaptation planning efforts for a broad range of historic structures, which is transferable across coastal parks to enhance historic preservation planning under climate change.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.landurbplan.2021.104165","usgsCitation":"Xiao, X., Seekamp, E., Lu, J., Eaton, M.J., and van der Burg, M., 2021, Optimizing preservation for multiple types of historic structures under climate change: Landscape and Urban Planning, v. 214, 104165, 14 p., https://doi.org/10.1016/j.landurbplan.2021.104165.","productDescription":"104165, 14 p.","ipdsId":"IP-122847","costCenters":[{"id":40926,"text":"Southeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":451550,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.landurbplan.2021.104165","text":"Publisher Index Page"},{"id":387064,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"214","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"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":818891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seekamp, Erin","contributorId":212832,"corporation":false,"usgs":false,"family":"Seekamp","given":"Erin","email":"","affiliations":[{"id":13595,"text":"NCSU","active":true,"usgs":false}],"preferred":false,"id":818892,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lu, Junyu","contributorId":260820,"corporation":false,"usgs":false,"family":"Lu","given":"Junyu","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":818893,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":818894,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"van der Burg, Max Post 0000-0002-3943-4194","orcid":"https://orcid.org/0000-0002-3943-4194","contributorId":219439,"corporation":false,"usgs":true,"family":"van der Burg","given":"Max Post","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":818895,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70221882,"text":"70221882 - 2021 - Leveraging existing technology: Developing a trusted digital repository for the U.S. Geological Survey","interactions":[],"lastModifiedDate":"2021-07-13T18:50:07.976","indexId":"70221882","displayToPublicDate":"2021-07-11T13:48:21","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8959,"text":"International Journal of Digital Curation","active":true,"publicationSubtype":{"id":10}},"title":"Leveraging existing technology: Developing a trusted digital repository for the U.S. Geological Survey","docAbstract":"<p><span>As Federal Government agencies in the United States pivot to increase access to scientific data (Sheehan, 2016), the U.S. Geological Survey (USGS) has made substantial progress (Kriesberg et al., 2017). USGS authors are required to make federally funded data publicly available in an approved data repository (USGS, 2016b). This type of public data product, known as a USGS data release, serves as a method for publishing reviewed and approved data. In this paper, we present major milestones in the approach the USGS took to transition an existing technology platform to a Trusted Digital Repository. We describe both the technical and the non-technical actions that contributed to a successful outcome.We highlight how initial workflows revealed patterns that were later automated, and the ways in which assessments and user feedback influenced design and implementation. The paper concludes with lessons learned, such as the importance of a community of practice, application programming interface (API)-driven technologies, iterative development, and user-centered design. This paper is intended to offer a potential roadmap for organizations pursuing similar goals.</span></p>","language":"English","publisher":"International Journal of Digital Curation","doi":"10.2218/ijdc.v16i1.741","usgsCitation":"Hutchison, V.B., Norkin, T., Langseth, M., Ignizio, D., Zolly, L., McClees-Funinan, R., and Liford, A.N., 2021, Leveraging existing technology: Developing a trusted digital repository for the U.S. Geological Survey: International Journal of Digital Curation, v. 16, no. 1, 23 p., https://doi.org/10.2218/ijdc.v16i1.741.","productDescription":"23 p.","ipdsId":"IP-119128","costCenters":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":451552,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2218/ijdc.v16i1.741","text":"Publisher Index Page"},{"id":387162,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-07-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Hutchison, Vivian B. 0000-0001-5301-3698 vhutchison@usgs.gov","orcid":"https://orcid.org/0000-0001-5301-3698","contributorId":173674,"corporation":false,"usgs":true,"family":"Hutchison","given":"Vivian","email":"vhutchison@usgs.gov","middleInitial":"B.","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":819206,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norkin, Tamar 0000-0003-0797-3940 tnorkin@usgs.gov","orcid":"https://orcid.org/0000-0003-0797-3940","contributorId":5882,"corporation":false,"usgs":true,"family":"Norkin","given":"Tamar","email":"tnorkin@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":false,"id":819207,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Langseth, Madison 0000-0002-4472-9106 mlangseth@usgs.gov","orcid":"https://orcid.org/0000-0002-4472-9106","contributorId":191744,"corporation":false,"usgs":true,"family":"Langseth","given":"Madison","email":"mlangseth@usgs.gov","affiliations":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":819208,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ignizio, Drew 0000-0001-8054-5139 dignizio@usgs.gov","orcid":"https://orcid.org/0000-0001-8054-5139","contributorId":172696,"corporation":false,"usgs":true,"family":"Ignizio","given":"Drew","email":"dignizio@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":819209,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zolly, Lisa 0000-0003-3595-7809 lisa_zolly@usgs.gov","orcid":"https://orcid.org/0000-0003-3595-7809","contributorId":484,"corporation":false,"usgs":true,"family":"Zolly","given":"Lisa","email":"lisa_zolly@usgs.gov","affiliations":[],"preferred":true,"id":819210,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McClees-Funinan, Ricardo 0000-0002-3254-1843 rmcclees-funinan@usgs.gov","orcid":"https://orcid.org/0000-0002-3254-1843","contributorId":5988,"corporation":false,"usgs":true,"family":"McClees-Funinan","given":"Ricardo","email":"rmcclees-funinan@usgs.gov","affiliations":[{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"preferred":true,"id":819211,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liford, Amanda N. 0000-0002-6992-2543","orcid":"https://orcid.org/0000-0002-6992-2543","contributorId":257671,"corporation":false,"usgs":true,"family":"Liford","given":"Amanda","email":"","middleInitial":"N.","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":819212,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
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