{"pageNumber":"484","pageRowStart":"12075","pageSize":"25","recordCount":184553,"records":[{"id":70221586,"text":"70221586 - 2021 - Enhanced terrestrial runoff during Oceanic Anoxic Event 2 on the North Carolina Coastal Plain, USA","interactions":[],"lastModifiedDate":"2021-06-24T14:41:03.659695","indexId":"70221586","displayToPublicDate":"2021-06-17T09:29:01","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1250,"text":"Climate of the Past","active":true,"publicationSubtype":{"id":10}},"title":"Enhanced terrestrial runoff during Oceanic Anoxic Event 2 on the North Carolina Coastal Plain, USA","docAbstract":"<p><span>A global increase in the strength of the hydrologic cycle drove an increase in the flux of terrigenous sediments into the ocean during the Cenomanian–Turonian Oceanic Anoxic Event&nbsp;2 (OAE2) and was an important mechanism driving nutrient enrichment and thus organic carbon burial. This global change is primarily known from isotopic records, but global average data do not tell us anything about changes at any particular location. Reconstructions of local terrigenous flux can help us understand the role of regional shifts in precipitation in driving these global trends. The proto-North Atlantic basin was one of the epicenters of enhanced organic carbon burial during OAE2, so constraining terrigenous flux is particularly important in this region; however, few local records exist. Here, we present two new OAE2 records from the Atlantic Coastal Plain of North Carolina, USA, recognized with calcareous nannoplankton biostratigraphy and organic carbon isotopes. We use carbon </span><span class=\"inline-formula\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; id=&quot;M1&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot; dspmath=&quot;mathml&quot;><mo>/</mo></math>\"><span id=\"M1\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mo\">/</span></span></span></span></span></span><span> nitrogen ratios to constrain the relative contribution of marine and terrestrial organic matter; in both cores we find an elevated contribution from vascular plants beginning just before OAE2 and continuing through the event, indicating a locally strengthened hydrologic cycle. Terrigenous flux decreased during the brief change in carbon isotope values known as the Plenus carbon isotope excursion; it then increased and remained elevated through the latter part of OAE2. Total organic carbon (TOC) values reveal relatively low organic carbon burial in the inner shelf, in contrast to black shales known from the open ocean. Organic carbon content on the shelf appears to increase in the offshore direction, highlighting the need for cores from the middle and outer shelf.</span></p>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/cp-17-1227-2021","usgsCitation":"Lowery, C.M., Self-Trail, J., and Barrie, C., 2021, Enhanced terrestrial runoff during Oceanic Anoxic Event 2 on the North Carolina Coastal Plain, USA: Climate of the Past, v. 17, p. 1227-1242, https://doi.org/10.5194/cp-17-1227-2021.","productDescription":"16 p.","startPage":"1227","endPage":"1242","ipdsId":"IP-127010","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":451839,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/cp-17-1227-2021","text":"Publisher Index Page"},{"id":386698,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","county":"Bertie County, Craven County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.0355453491211,\n              36.02452921570427\n            ],\n            [\n              -78.01271438598633,\n              36.02452921570427\n            ],\n            [\n              -78.01271438598633,\n              36.038966603853346\n            ],\n            [\n              -78.0355453491211,\n              36.038966603853346\n            ],\n            [\n              -78.0355453491211,\n              36.02452921570427\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.34272003173828,\n              35.23608538338967\n            ],\n            [\n              -77.26993560791016,\n              35.23608538338967\n            ],\n            [\n              -77.26993560791016,\n              35.302797817405796\n            ],\n            [\n              -77.34272003173828,\n              35.302797817405796\n            ],\n            [\n              -77.34272003173828,\n              35.23608538338967\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"17","noUsgsAuthors":false,"publicationDate":"2021-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Lowery, Christopher M","contributorId":260618,"corporation":false,"usgs":false,"family":"Lowery","given":"Christopher","email":"","middleInitial":"M","affiliations":[{"id":52624,"text":"Univ. of Texas-Austin","active":true,"usgs":false}],"preferred":false,"id":818199,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Self-Trail, Jean 0000-0002-3018-4985 jstrail@usgs.gov","orcid":"https://orcid.org/0000-0002-3018-4985","contributorId":147370,"corporation":false,"usgs":true,"family":"Self-Trail","given":"Jean","email":"jstrail@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":818200,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barrie, Craig","contributorId":260619,"corporation":false,"usgs":false,"family":"Barrie","given":"Craig","email":"","affiliations":[{"id":52625,"text":"Geomark, Ltd.","active":true,"usgs":false}],"preferred":false,"id":818201,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70250112,"text":"70250112 - 2021 - Extensibility of U-net neural network model for hydrographic feature extraction and implications for hydrologic modeling","interactions":[],"lastModifiedDate":"2023-11-21T11:53:06.136867","indexId":"70250112","displayToPublicDate":"2021-06-17T09:16:07","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Extensibility of U-net neural network model for hydrographic feature extraction and implications for hydrologic modeling","docAbstract":"<p><span>Accurate maps of regional surface water features are integral for advancing ecologic, atmospheric and land development studies. The only comprehensive surface water feature map of Alaska is the National Hydrography Dataset (NHD). NHD features are often digitized representations of historic topographic map blue lines and may be outdated. Here we test deep learning methods to automatically extract surface water features from airborne interferometric synthetic aperture radar (IfSAR) data to update and validate Alaska hydrographic databases. U-net artificial neural networks (ANN) and high-performance computing (HPC) are used for supervised hydrographic feature extraction within a study area comprised of 50 contiguous watersheds in Alaska. Surface water features derived from elevation through automated flow-routing and manual editing are used as training data. Model extensibility is tested with a series of 16 U-net models trained with increasing percentages of the study area, from about 3 to 35 percent. Hydrography is predicted by each of the models for all watersheds not used in training. Input raster layers are derived from digital terrain models, digital surface models, and intensity images from the IfSAR data. Results indicate about 15 percent of the study area is required to optimally train the ANN to extract hydrography when F1-scores for tested watersheds average between 66 and 68. Little benefit is gained by training beyond 15 percent of the study area. Fully connected hydrographic networks are generated for the U-net predictions using a novel approach that constrains a D-8 flow-routing approach to follow U-net predictions. This work demonstrates the ability of deep learning to derive surface water feature maps from complex terrain over a broad area.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs13122368","usgsCitation":"Stanislawski, L.V., Shavers, E.J., Wang, S., Jiang, Z., Usery, E., Moak, E., Duffy, A., and Schott, J., 2021, Extensibility of U-net neural network model for hydrographic feature extraction and implications for hydrologic modeling: Remote Sensing, v. 13, no. 12, 2368, 27 p., https://doi.org/10.3390/rs13122368.","productDescription":"2368, 27 p.","ipdsId":"IP-128026","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":451842,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs13122368","text":"Publisher Index Page"},{"id":422726,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70228281,"text":"70228281 - 2021 - Assessing habitat change and migration of barrier islands","interactions":[],"lastModifiedDate":"2023-06-09T14:10:04.338246","indexId":"70228281","displayToPublicDate":"2021-06-17T08:37:00","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Assessing habitat change and migration of barrier islands","docAbstract":"<p><span>Barrier islands are dynamic environments that experience gradual change from waves, tides, and currents, and rapid change from extreme storms. These islands are expected to change drastically over the coming century due to accelerated sea-level rise and changes in frequency and intensity of storm events. The dynamic nature of barrier islands coupled with the importance of these environments make it critical for natural resource managers to understand how habitats on barrier islands are changing or may change over time to determine when and where management actions may be needed. In this study, we applied a habitat change assessment framework, which included exploring areal coverage and distribution changes and change component analysis. Change component analysis, which breaks differences into net gain/loss and allocation difference (i.e., habitat oscillation), has not previously been used to study barrier island habitat evolution. Here, we demonstrate the approach using habitat predictions from a geomorphic modeling effort on Dauphin Island, Alabama (USA). We explored differences of habitat predictions for potential island configurations with and without a beach and dune restoration action under future conditions related to sea level and storminess. We found a potential linkage between landward migration of barrier islands and exchange, an output of change component analysis. The hypothesis may be tested to explore whether this linkage applies over space and time and whether the approach is applicable to monitoring landward migration of coastal wetlands. Collectively, our results highlight the utility of change component analysis for monitoring and quantifying barrier island habitat change and migration.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s12237-021-00971-w","usgsCitation":"Enwright, N., Wang, L., Dalyander, P., Wang, H., Osland, M., Mickey, R.C., Jenkins, R., and Godsey, E., 2021, Assessing habitat change and migration of barrier islands: Estuaries and Coasts, v. 44, p. 2073-2086, https://doi.org/10.1007/s12237-021-00971-w.","productDescription":"14 p.; Data Release","startPage":"2073","endPage":"2086","ipdsId":"IP-121508","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":499827,"rank":3,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.lsu.edu/geoanth_pubs/276","text":"External Repository"},{"id":395610,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417852,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9V4Z7OK"}],"country":"United States","state":"Alabama","otherGeospatial":"Dauphin Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.33969116210938,\n              30.211608223816906\n            ],\n            [\n              -88.06159973144531,\n              30.211608223816906\n            ],\n            [\n              -88.06159973144531,\n              30.286938665455985\n            ],\n            [\n              -88.33969116210938,\n              30.286938665455985\n            ],\n            [\n              -88.33969116210938,\n              30.211608223816906\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"44","noUsgsAuthors":false,"publicationDate":"2021-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Enwright, Nicholas 0000-0002-7887-3261","orcid":"https://orcid.org/0000-0002-7887-3261","contributorId":217771,"corporation":false,"usgs":true,"family":"Enwright","given":"Nicholas","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":833594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Lei","contributorId":193279,"corporation":false,"usgs":false,"family":"Wang","given":"Lei","email":"","affiliations":[],"preferred":false,"id":833595,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dalyander, P. Soupy 0000-0001-9583-0872","orcid":"https://orcid.org/0000-0001-9583-0872","contributorId":221891,"corporation":false,"usgs":false,"family":"Dalyander","given":"P. Soupy","affiliations":[{"id":40456,"text":"St. Petersburg Coastal and Marine Science Center (Former Employee)","active":true,"usgs":false}],"preferred":false,"id":833596,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Hongqing 0000-0002-2977-7732","orcid":"https://orcid.org/0000-0002-2977-7732","contributorId":222383,"corporation":false,"usgs":true,"family":"Wang","given":"Hongqing","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":833597,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Osland, Michael 0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":219805,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":833598,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mickey, Rangley C. 0000-0001-5989-1432 rmickey@usgs.gov","orcid":"https://orcid.org/0000-0001-5989-1432","contributorId":141016,"corporation":false,"usgs":true,"family":"Mickey","given":"Rangley","email":"rmickey@usgs.gov","middleInitial":"C.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":833599,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jenkins, Robert L. III 0000-0003-2078-4618","orcid":"https://orcid.org/0000-0003-2078-4618","contributorId":202181,"corporation":false,"usgs":true,"family":"Jenkins","given":"Robert L.","suffix":"III","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":833600,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Godsey, Elizabeth 0000-0003-4621-7857","orcid":"https://orcid.org/0000-0003-4621-7857","contributorId":222094,"corporation":false,"usgs":false,"family":"Godsey","given":"Elizabeth","email":"","affiliations":[{"id":34200,"text":"Army Corp of Engineers","active":true,"usgs":false}],"preferred":false,"id":833601,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70221538,"text":"70221538 - 2021 - Ecogeographic variation and taxonomic boundaries in Large Treeshrews (Scandentia, Tupaiidae: Tupaia tana Raffles, 1821) from Southeast Asia","interactions":[],"lastModifiedDate":"2021-08-17T15:18:53.1471","indexId":"70221538","displayToPublicDate":"2021-06-17T07:32:24","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}},"displayTitle":"Ecogeographic variation and taxonomic boundaries in Large Treeshrews (Scandentia, Tupaiidae: <i>Tupaia tana</i> Raffles, 1821) from Southeast Asia","title":"Ecogeographic variation and taxonomic boundaries in Large Treeshrews (Scandentia, Tupaiidae: Tupaia tana Raffles, 1821) from Southeast Asia","docAbstract":"<p><span>The Large Treeshrew,&nbsp;</span><i>Tupaia tana</i><span>&nbsp;Raffles, 1821, is a small mammal (~205 g) from Southeast Asia with a complicated taxonomic history. Currently, 15 subspecies are recognized from Borneo, Sumatra, and smaller islands, and many were originally differentiated based on minor pelage differences and small sample sizes. We explored intraspecific variation in&nbsp;</span><i>T. tana</i><span>&nbsp;using quantitative osteological data obtained from the hands and skulls of museum specimens. Multivariate analyses reveal extensive overlap among&nbsp;</span><i>T. tana</i><span>&nbsp;populations in morphospace, indicating that the majority of currently recognized subspecies are not morphometrically distinct. In contrast, the separation between Bornean and Sumatran populations of&nbsp;</span><i>T. tana</i><span>&nbsp;is sufficient to recognize them as different subspecies. Comparisons of Bornean specimens to those on small, offshore islands reveal that the latter average smaller body size. This pattern is inconsistent with Foster’s island rule, which predicts that island populations of small mammals (&lt; 5 kg) will average larger body size relative to mainland forms. A similar lack of support for ecogeographic rules has been noted in&nbsp;</span><i>T. glis</i><span>&nbsp;(Diard, 1820), suggesting that these “rules” are poor predictors of geographic variation in treeshrews.</span></p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/jmammal/gyab059","usgsCitation":"Juman, M.M., Woodman, N., Olson, L.E., and Sargis, E.J., 2021, Ecogeographic variation and taxonomic boundaries in Large Treeshrews (Scandentia, Tupaiidae: Tupaia tana Raffles, 1821) from Southeast Asia: Journal of Mammalogy, v. 102, no. 4, p. 1054-1066, https://doi.org/10.1093/jmammal/gyab059.","productDescription":"13 p.","startPage":"1054","endPage":"1066","ipdsId":"IP-126399","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":386646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Southeast Asia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              88.76953125,\n              -11.695272733029402\n            ],\n            [\n              162.0703125,\n              -11.695272733029402\n            ],\n            [\n              162.0703125,\n              27.059125784374068\n            ],\n            [\n              88.76953125,\n              27.059125784374068\n            ],\n            [\n              88.76953125,\n              -11.695272733029402\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"102","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Juman, Maya M. 0000-0002-0211-0655","orcid":"https://orcid.org/0000-0002-0211-0655","contributorId":260457,"corporation":false,"usgs":false,"family":"Juman","given":"Maya","email":"","middleInitial":"M.","affiliations":[{"id":37550,"text":"Yale University","active":true,"usgs":false}],"preferred":false,"id":817993,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodman, Neal 0000-0003-2689-7373 nwoodman@usgs.gov","orcid":"https://orcid.org/0000-0003-2689-7373","contributorId":3547,"corporation":false,"usgs":true,"family":"Woodman","given":"Neal","email":"nwoodman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":817994,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olson, Link E. 0000-0002-2481-5701","orcid":"https://orcid.org/0000-0002-2481-5701","contributorId":203887,"corporation":false,"usgs":false,"family":"Olson","given":"Link","email":"","middleInitial":"E.","affiliations":[{"id":36743,"text":"University of Alaska Museum, University of Alaska Fairbanks, Fairbanks, AK 99775, USA","active":true,"usgs":false}],"preferred":false,"id":817995,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sargis, Eric J. 0000-0003-0424-3803","orcid":"https://orcid.org/0000-0003-0424-3803","contributorId":203885,"corporation":false,"usgs":false,"family":"Sargis","given":"Eric","email":"","middleInitial":"J.","affiliations":[{"id":36741,"text":"Department of Anthropology, Yale University, P.O. 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,{"id":70221543,"text":"70221543 - 2021 - Strategic testing approaches for targeted disease monitoring can be used to inform pandemic decision-making","interactions":[],"lastModifiedDate":"2021-06-30T19:17:31.269455","indexId":"70221543","displayToPublicDate":"2021-06-17T07:12:46","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2979,"text":"PLoS Biology","active":true,"publicationSubtype":{"id":10}},"title":"Strategic testing approaches for targeted disease monitoring can be used to inform pandemic decision-making","docAbstract":"<p><span>More than 1.6 million Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) tests were administered daily in the United States at the peak of the epidemic, with a significant focus on individual treatment. Here, we show that objective-driven, strategic sampling designs and analyses can maximize information gain at the population level, which is necessary to increase situational awareness and predict, prepare for, and respond to a pandemic, while also continuing to inform individual treatment. By focusing on specific objectives such as individual treatment or disease prediction and control (e.g., via the collection of population-level statistics to inform lockdown measures or vaccine rollout) and drawing from the literature on capture–recapture methods to deal with nonrandom sampling and testing errors, we illustrate how public health objectives can be achieved even with limited test availability when testing programs are designed a priori to meet those objectives.</span></p>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pbio.3001307","usgsCitation":"Nichols, J.D., Bogich, T.L., Howerton, E., Bjornstad, O.N., Borchering, R.K., Ferrari, M.J., Haran, M., Jewell, C., Pepin, K., Probert, W.J., Pulliam, J.R., Runge, M.C., Tildesley, M.J., Viboud, C., and Shea, K., 2021, Strategic testing approaches for targeted disease monitoring can be used to inform pandemic decision-making: PLoS Biology, v. 19, no. 6, e3001307, 9 p., https://doi.org/10.1371/journal.pbio.3001307.","productDescription":"e3001307, 9 p.","ipdsId":"IP-128913","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":451848,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pbio.3001307","text":"Publisher Index Page"},{"id":386644,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":200533,"corporation":false,"usgs":true,"family":"Nichols","given":"James","email":"jnichols@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":818000,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bogich, Tiffany L. 0000-0002-8143-5289","orcid":"https://orcid.org/0000-0002-8143-5289","contributorId":260459,"corporation":false,"usgs":false,"family":"Bogich","given":"Tiffany","email":"","middleInitial":"L.","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":818001,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howerton, Emily 0000-0002-0639-3728","orcid":"https://orcid.org/0000-0002-0639-3728","contributorId":258035,"corporation":false,"usgs":false,"family":"Howerton","given":"Emily","email":"","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":818002,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bjornstad, Ottar N. 0000-0002-1158-3753","orcid":"https://orcid.org/0000-0002-1158-3753","contributorId":217708,"corporation":false,"usgs":false,"family":"Bjornstad","given":"Ottar","email":"","middleInitial":"N.","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":818003,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Borchering, Rebecca K. 0000-0003-4309-2913","orcid":"https://orcid.org/0000-0003-4309-2913","contributorId":258031,"corporation":false,"usgs":false,"family":"Borchering","given":"Rebecca","email":"","middleInitial":"K.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":818004,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ferrari, Matthew J. 0000-0001-5251-8168","orcid":"https://orcid.org/0000-0001-5251-8168","contributorId":216186,"corporation":false,"usgs":false,"family":"Ferrari","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":818005,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Haran, Murali 0000-0003-4440-8625","orcid":"https://orcid.org/0000-0003-4440-8625","contributorId":260461,"corporation":false,"usgs":false,"family":"Haran","given":"Murali","email":"","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":818006,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jewell, Christopher P. 0000-0002-7902-2178","orcid":"https://orcid.org/0000-0002-7902-2178","contributorId":260466,"corporation":false,"usgs":false,"family":"Jewell","given":"Christopher P.","affiliations":[{"id":33563,"text":"Lancaster University","active":true,"usgs":false}],"preferred":false,"id":818012,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pepin, Kim M. 0000-0002-9931-8312","orcid":"https://orcid.org/0000-0002-9931-8312","contributorId":187441,"corporation":false,"usgs":false,"family":"Pepin","given":"Kim M.","affiliations":[],"preferred":false,"id":818007,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Probert, William J. M. 0000-0002-3437-759X","orcid":"https://orcid.org/0000-0002-3437-759X","contributorId":216183,"corporation":false,"usgs":false,"family":"Probert","given":"William","email":"","middleInitial":"J. M.","affiliations":[{"id":25447,"text":"University of Oxford","active":true,"usgs":false}],"preferred":false,"id":818008,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Pulliam, Juliet R. C. 0000-0003-3314-8223","orcid":"https://orcid.org/0000-0003-3314-8223","contributorId":260463,"corporation":false,"usgs":false,"family":"Pulliam","given":"Juliet","email":"","middleInitial":"R. C.","affiliations":[{"id":39919,"text":"Stellenbosch University","active":true,"usgs":false}],"preferred":false,"id":818009,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":818010,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Tildesley, Michael J.","contributorId":126971,"corporation":false,"usgs":false,"family":"Tildesley","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":6620,"text":"University of Nottingham, School of Biology","active":true,"usgs":false}],"preferred":false,"id":818011,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Viboud, Cecile 0000-0003-3243-4711","orcid":"https://orcid.org/0000-0003-3243-4711","contributorId":258034,"corporation":false,"usgs":false,"family":"Viboud","given":"Cecile","email":"","affiliations":[{"id":52216,"text":"National Institutes of Health Fogarty International Center","active":true,"usgs":false}],"preferred":false,"id":818013,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Shea, Katriona 0000-0002-7607-8248","orcid":"https://orcid.org/0000-0002-7607-8248","contributorId":193646,"corporation":false,"usgs":false,"family":"Shea","given":"Katriona","email":"","affiliations":[],"preferred":false,"id":818014,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70221549,"text":"70221549 - 2021 - Detecting subtle change from dense landsat time series: Case studies of mountain pine beetle and spruce beetle disturbance","interactions":[],"lastModifiedDate":"2021-06-23T12:28:09.472652","indexId":"70221549","displayToPublicDate":"2021-06-17T06:59:46","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Detecting subtle change from dense landsat time series: Case studies of mountain pine beetle and spruce beetle disturbance","docAbstract":"<p><span>In contrast to abrupt changes caused by land cover conversion, subtle changes driven by a shift in the condition, structure, or other biological attributes of land often lead to minimal and slower alterations of the terrestrial surface. Accurate mapping and monitoring of subtle change are crucial for an early warning of long-term gradual change that may eventually result in land cover conversion. Freely accessible moderate-resolution datasets such as the&nbsp;</span>Landsat<span>&nbsp;archive have great potential to characterize subtle change by capturing low-magnitude spectral changes in long-term observations. However, past studies have reported limited success in accurately extracting subtle changes from satellite-based time series analysis. In this study, we introduce a supervised framework named ‘PIDS’ to detect subtle forest disturbance from a comprehensive Landsat data archive by leveraging disturbance-based calibration sites. PIDS consists of four components: (1) Parameter optimization; (2) Index selection; (3) Dynamic stratified monitoring; and (4) Spatial consideration. PIDS was applied to map the early stage of bark beetle infestations (i.e., a lower per-pixel fraction of trees cover that show visual signs of infestation), which are a typical example of subtle change in conifer forests. Landsat Analysis Ready Data were used as the time series inputs for mapping mountain pine beetle and spruce beetle disturbance between 2001 and 2019 in Colorado, USA. PIDS-detection map assessment showed that the overall performance of PIDS (namely ‘F1 score’) was 0.86 for mountain pine beetle and 0.73 for spruce beetle, making a substantial improvement (&gt; 0.3) compared to other approaches/products including COntinuous monitoring of Land Disturbance, LandTrendr, and the National Land Cover Database forest disturbance product. A sub-pixel analysis of tree canopy mortality percentage was performed by linking classified high-resolution (0.3- and 1-m)&nbsp;aerial imagery&nbsp;and 30-m PIDS-detection maps. Results show that PIDS typically detects mountain pine beetle infestation when ≥56% of a Landsat pixel is occupied by red-stage canopy mortality (one year after initial infestation), and spruce beetle infestation when ≥55% is occupied by gray-stage mortality (two years after initial infestation). This study addresses an important methodological goal pertinent to the utility of event-based reference samples for detecting subtle forest change, which could be potentially applied to other types of subtle land change.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2021.112560","usgsCitation":"Ye, S., Rogan, J., Zhu, Z., Hawbaker, T., Hart, S., Andrus, R.A., Meddens, A.J., Hicke, J.A., Eastman, J.R., and Kulakowski, D., 2021, Detecting subtle change from dense landsat time series: Case studies of mountain pine beetle and spruce beetle disturbance: Remote Sensing of Environment, v. 263, 112560, 16 p., https://doi.org/10.1016/j.rse.2021.112560.","productDescription":"112560, 16 p.","ipdsId":"IP-124774","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":488056,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2021.112560","text":"Publisher Index Page"},{"id":386642,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.0283203125,\n              37.020098201368114\n            ],\n            [\n              -106.14990234375,\n              37.020098201368114\n            ],\n            [\n              -106.14990234375,\n              40.91351257612758\n            ],\n            [\n              -109.0283203125,\n              40.91351257612758\n            ],\n            [\n              -109.0283203125,\n              37.020098201368114\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"263","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ye, Su","contributorId":260471,"corporation":false,"usgs":false,"family":"Ye","given":"Su","email":"","affiliations":[{"id":24788,"text":"Clark University","active":true,"usgs":false}],"preferred":false,"id":818017,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogan, John","contributorId":260472,"corporation":false,"usgs":false,"family":"Rogan","given":"John","affiliations":[{"id":24788,"text":"Clark University","active":true,"usgs":false}],"preferred":false,"id":818018,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhu, Zhe","contributorId":260473,"corporation":false,"usgs":false,"family":"Zhu","given":"Zhe","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":818019,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":568,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":818020,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hart, Sarah J.","contributorId":260474,"corporation":false,"usgs":false,"family":"Hart","given":"Sarah J.","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":818021,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Andrus, Robert A.","contributorId":260475,"corporation":false,"usgs":false,"family":"Andrus","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":818022,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meddens, Arjan J.H.","contributorId":260476,"corporation":false,"usgs":false,"family":"Meddens","given":"Arjan","middleInitial":"J.H.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":818023,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hicke, Jeffery A.","contributorId":260477,"corporation":false,"usgs":false,"family":"Hicke","given":"Jeffery","email":"","middleInitial":"A.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":818024,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Eastman, J. Ronald","contributorId":260480,"corporation":false,"usgs":false,"family":"Eastman","given":"J.","email":"","middleInitial":"Ronald","affiliations":[{"id":24788,"text":"Clark University","active":true,"usgs":false}],"preferred":false,"id":818025,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kulakowski, Dominik","contributorId":260482,"corporation":false,"usgs":false,"family":"Kulakowski","given":"Dominik","affiliations":[{"id":24788,"text":"Clark University","active":true,"usgs":false}],"preferred":false,"id":818026,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70223330,"text":"70223330 - 2021 - Holocene depositional history inferred from single-grain luminescence ages in southern California, North America","interactions":[],"lastModifiedDate":"2021-08-23T22:22:59.085804","indexId":"70223330","displayToPublicDate":"2021-06-16T17:15:20","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Holocene depositional history inferred from single-grain luminescence ages in southern California, North America","docAbstract":"<p><span>Significant sediment flux and deposition in a sedimentary system are influenced by climate changes, tectonics, lithology, and the sedimentary system's internal dynamics. Identifying the timing of depositional periods from stratigraphic records is a first step to critically evaluate the controls of sediment flux and deposition. Here, we show that ages of single-grain K-feldspar luminescence subpopulations may provide information on the timing of previous major depositional periods. We analyzed 754 K-feldspar single-grains from 17 samples from the surface to ∼9 m-depth in a trench located downstream of the Mission Creek catchment. Single-grain luminescence subpopulation ages significantly overlap at least eight times since ∼12.0 ka indicating a common depositional history. These depositional periods correspond reasonably well with the Holocene intervals of wetter than average climate conditions based on hydroclimatic proxies from nearby locations. Our findings imply a first-order climatic control on sediment depositional history in southern California on a millennial timescale.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021GL092774","usgsCitation":"Saha, S., Moon, S., Brown, N.D., Rhodes, E.J., Scharer, K., McPhillips, D., McGill, S.F., and Castillo, B.A., 2021, Holocene depositional history inferred from single-grain luminescence ages in southern California, North America: Geophysical Research Letters, v. 48, no. 15, e2021GL092774, 12 p., https://doi.org/10.1029/2021GL092774.","productDescription":"e2021GL092774, 12 p.","ipdsId":"IP-129180","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":451851,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://eprints.whiterose.ac.uk/206412/1/604795.pdf","text":"External Repository"},{"id":388392,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"California","otherGeospatial":"southern California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.87109375,\n              32.62087018318113\n            ],\n            [\n              -114.0380859375,\n              32.62087018318113\n            ],\n            [\n              -114.0380859375,\n              38.16911413556086\n            ],\n            [\n              -122.87109375,\n              38.16911413556086\n            ],\n            [\n              -122.87109375,\n              32.62087018318113\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"48","issue":"15","noUsgsAuthors":false,"publicationDate":"2021-08-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Saha, Sourav 0000-0001-7106-2936","orcid":"https://orcid.org/0000-0001-7106-2936","contributorId":264624,"corporation":false,"usgs":false,"family":"Saha","given":"Sourav","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":821775,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moon, Seulgi 0000-0001-5207-1781","orcid":"https://orcid.org/0000-0001-5207-1781","contributorId":264625,"corporation":false,"usgs":false,"family":"Moon","given":"Seulgi","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":821776,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Nathan D. 0000-0002-7385-8679","orcid":"https://orcid.org/0000-0002-7385-8679","contributorId":264626,"corporation":false,"usgs":false,"family":"Brown","given":"Nathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":821777,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rhodes, Edward J. 0000-0002-0361-8637","orcid":"https://orcid.org/0000-0002-0361-8637","contributorId":192722,"corporation":false,"usgs":false,"family":"Rhodes","given":"Edward","email":"","middleInitial":"J.","affiliations":[{"id":7081,"text":"University of California - Los Angeles","active":true,"usgs":false},{"id":28159,"text":"University of Sheffield","active":true,"usgs":false}],"preferred":false,"id":821778,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scharer, Katherine M. 0000-0003-2811-2496","orcid":"https://orcid.org/0000-0003-2811-2496","contributorId":217361,"corporation":false,"usgs":true,"family":"Scharer","given":"Katherine M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":821779,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McPhillips, Devin 0000-0003-1987-9249","orcid":"https://orcid.org/0000-0003-1987-9249","contributorId":217362,"corporation":false,"usgs":true,"family":"McPhillips","given":"Devin","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":821780,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McGill, Sally F. 0000-0001-7176-7055","orcid":"https://orcid.org/0000-0001-7176-7055","contributorId":264627,"corporation":false,"usgs":false,"family":"McGill","given":"Sally","email":"","middleInitial":"F.","affiliations":[{"id":36956,"text":"California State University","active":true,"usgs":false}],"preferred":false,"id":821789,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Castillo, Bryan A.","contributorId":264628,"corporation":false,"usgs":false,"family":"Castillo","given":"Bryan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":821790,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70221385,"text":"cir1484 - 2021 - U.S. Geological Survey landscape science strategy 2020–2030","interactions":[],"lastModifiedDate":"2021-06-17T10:21:11.812779","indexId":"cir1484","displayToPublicDate":"2021-06-16T15:48:57","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1484","displayTitle":"U.S. Geological Survey Landscape Science Strategy 2020–2030","title":"U.S. Geological Survey landscape science strategy 2020–2030","docAbstract":"<p>Across our Nation, multiple Federal, State, Tribal, and local governments are working with stakeholders and landowners to restore, conserve, and manage lands and resources to benefit fish, wildlife, and people. One of the largest Federal efforts is led by the U.S. Department of the Interior (DOI), with multiple DOI agencies working to conserve and manage public lands, resources, and cultural heritage for the benefit and enjoyment of current and future generations. As a science provider within the DOI, the U.S. Geological Survey (USGS) has an important role in developing actionable science products that can inform decision making on public lands and across all of our Nation’s landscapes.</p><p>Our landscapes and resources are undergoing continual change from a complex and interacting suite of stressors that include traditional and nontraditional land uses, a changing climate, a dynamic economy, and a culturally diverse and ever-changing society. Landscape science seeks to understand how the physical, biological, and social components of ecosystems and landscapes interact with each other and are affected by these stressors across local to global scales.</p><p>The USGS has developed this landscape science strategy to focus and strengthen the agency’s efforts to inform critical conservation, restoration, and management decisions for American landscapes. The strategy directly supports the overarching 21st-century science strategy of the USGS and expands our perspective and focus on partnerships, including with internal, external, traditional, and nontraditional partners.</p><p>The vision for USGS landscape science is to integrate multiple disciplines and approaches to create and deliver relevant, timely, and scientifically sound products that enable our partners to make informed decisions about how to manage complex interacting natural and human systems across changing American landscapes. This strategy seeks to leverage the expertise, data, analytical capacity, and tools of the agency and to strengthen integration of science efforts across programs and scales. A cornerstone of the strategy is working closely with landowners and resource managers to identify the science that is needed to inform management actions, and then working collaboratively with those same partners to coproduce science and data products that are timely, practical, and useful for their decision making.</p><p>Many individual efforts within the USGS already embrace landscape science ideas and practices. With the development of this strategy, we are seeking to build on these efforts and to focus agency attention and expertise on expanding, connecting, and institutionalizing core practices and approaches for landscape science that produces actionable science products and tools that decision makers can use to help conserve and manage American landscapes.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1484","isbn":"978-1-4113-4419-8","programNote":"Land Management Research Program","usgsCitation":"Jenni, K.E., Carter, S.K., Aumen, N.G., Bowen, Z.H., Bradford, J.B., Chotkowski, M.A., Hsu, L., Murdoch, P.S., Phillips, S.W., Pope, K.L., Schuster, R., Steinkamp, M.J., Weltzin, J., and Xian, G.Z., 2021, U.S. Geological Survey landscape science strategy 2020–2030: U.S. Geological Survey Circular 1484, 26 p., https://doi.org/10.3133/cir1484.","productDescription":"v, 26 p.","numberOfPages":"36","onlineOnly":"N","ipdsId":"IP-121985","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":386449,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1484/coverthb.jpg"},{"id":386450,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1484/cir1484.pdf","text":"Report","size":"14.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Circular 1484"}],"contact":"<p>Associate Director, <a data-mce-href=\"https://www.usgs.gov/mission-areas/ecosystems\" href=\"https://www.usgs.gov/mission-areas/ecosystems\">Ecosystems Mission Area</a><br>U.S. Geological Survey<br>Mail Stop 300 <br>12201 Sunrise Valley Drive <br>Reston, VA 20192</p><p><a data-mce-href=\"https://www.usgs.gov/mission-areas/ecosystems/land-management-research-program\" href=\"https://www.usgs.gov/mission-areas/ecosystems/land-management-research-program\">Land Management Research Program</a></p><p><a data-mce-href=\"../contact\" href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Executive Summary</li><li>Introduction</li><li>USGS Landscape Science Strategy</li><li>Goals</li><li>Supporting Strategic Actions</li><li>Planning Implementation of the Science Strategy</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2021-06-16","noUsgsAuthors":false,"publicationDate":"2021-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Jenni, Karen E. 0000-0001-9927-7509","orcid":"https://orcid.org/0000-0001-9927-7509","contributorId":219377,"corporation":false,"usgs":true,"family":"Jenni","given":"Karen E.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":817477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carter, Sarah K. 0000-0003-3778-8615","orcid":"https://orcid.org/0000-0003-3778-8615","contributorId":192418,"corporation":false,"usgs":true,"family":"Carter","given":"Sarah","email":"","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":817478,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aumen, Nicholas G. 0000-0002-5277-2630 naumen@usgs.gov","orcid":"https://orcid.org/0000-0002-5277-2630","contributorId":5418,"corporation":false,"usgs":true,"family":"Aumen","given":"Nicholas","email":"naumen@usgs.gov","middleInitial":"G.","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":13415,"text":"Everglades National Park","active":true,"usgs":false}],"preferred":true,"id":817479,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bowen, Zachary H. 0000-0002-8656-1831 bowenz@usgs.gov","orcid":"https://orcid.org/0000-0002-8656-1831","contributorId":821,"corporation":false,"usgs":true,"family":"Bowen","given":"Zachary","email":"bowenz@usgs.gov","middleInitial":"H.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":817480,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":817481,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chotkowski, Michael A. 0000-0002-8931-1643 mchotkowski@usgs.gov","orcid":"https://orcid.org/0000-0002-8931-1643","contributorId":260181,"corporation":false,"usgs":true,"family":"Chotkowski","given":"Michael","email":"mchotkowski@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":817482,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hsu, Leslie 0000-0002-5353-807X lhsu@usgs.gov","orcid":"https://orcid.org/0000-0002-5353-807X","contributorId":191745,"corporation":false,"usgs":true,"family":"Hsu","given":"Leslie","email":"lhsu@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":817483,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Murdoch, Peter S. 0000-0001-9243-505X pmurdoch@usgs.gov","orcid":"https://orcid.org/0000-0001-9243-505X","contributorId":2453,"corporation":false,"usgs":true,"family":"Murdoch","given":"Peter","email":"pmurdoch@usgs.gov","middleInitial":"S.","affiliations":[{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":817484,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Phillips, Scott W. 0000-0002-1637-9428 swphilli@usgs.gov","orcid":"https://orcid.org/0000-0002-1637-9428","contributorId":191221,"corporation":false,"usgs":true,"family":"Phillips","given":"Scott","email":"swphilli@usgs.gov","middleInitial":"W.","affiliations":[{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":817485,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":817486,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Schuster, Rudy 0000-0003-2353-8500 schusterr@usgs.gov","orcid":"https://orcid.org/0000-0003-2353-8500","contributorId":3119,"corporation":false,"usgs":true,"family":"Schuster","given":"Rudy","email":"schusterr@usgs.gov","affiliations":[],"preferred":true,"id":817487,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Steinkamp, Melanie J. 0000-0001-9322-609X","orcid":"https://orcid.org/0000-0001-9322-609X","contributorId":101773,"corporation":false,"usgs":false,"family":"Steinkamp","given":"Melanie J.","affiliations":[],"preferred":false,"id":817488,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Weltzin, Jake 0000-0001-8641-6645 jweltzin@usgs.gov","orcid":"https://orcid.org/0000-0001-8641-6645","contributorId":196323,"corporation":false,"usgs":true,"family":"Weltzin","given":"Jake","email":"jweltzin@usgs.gov","affiliations":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":817489,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Xian, George Z. 0000-0001-5674-2204 xian@usgs.gov","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":2263,"corporation":false,"usgs":true,"family":"Xian","given":"George","email":"xian@usgs.gov","middleInitial":"Z.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":817490,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70221457,"text":"sir20215057 - 2021 - Bathymetry of New York City’s East of Hudson reservoirs and controlled lakes, 2017 to 2019","interactions":[],"lastModifiedDate":"2021-06-17T10:15:19.443423","indexId":"sir20215057","displayToPublicDate":"2021-06-16T15:05:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-5057","displayTitle":"Bathymetry of New York City’s East of Hudson Reservoirs  and Controlled Lakes, 2017 to 2019","title":"Bathymetry of New York City’s East of Hudson reservoirs and controlled lakes, 2017 to 2019","docAbstract":"<p>New York City maintains an extensive system of reservoirs and aqueducts to provide drinking water to its residents, including 16 reservoirs and controlled lakes in Westchester and Putnam Counties in southern New York, east of the Hudson River (also called “East of Hudson reservoirs and controlled lakes”). These reservoirs were put into service from 1842 to 1915, and their capacities have likely changed since their original construction. To provide updated bathymetric surface, contour, and capacity data, the U.S. Geological Survey, in cooperation with New York City Department of Environmental Protection, surveyed the bathymetry of the 16 East of Hudson reservoirs and controlled lakes from 2017 to 2019 using a multibeam echosounder. The points measured with the multibeam echosounder were combined with light detection and ranging data to generate 3.28-foot raster grids of the bathymetric surfaces, bathymetric contours at 2-foot intervals of elevation, and elevation-area-capacity tables. The results of the bathymetric survey show that the East of Hudson reservoirs range from about 25 feet deep (Kirk Lake) to about 162 feet deep (Kensico Reservoir) and have a total capacity of 142.9 billion gallons, with a combined surface area of more than 11,600 acres.</p><p>The accuracy of the mapped bathymetric data was evaluated using quality assurance datasets collected with a single-beam echosounder; about 284,000 quality assurance points were spatially joined with the mapped raster surface to compute measurement errors. The calculated mean point elevation error for the East of Hudson reservoirs was 0.35 foot, the median error was 0.21 foot, and the 95-percent accuracy was 1.68 feet; the 95-percent accuracy of the computed capacity at spillway elevation was 1.6 percent or less. The largest errors occurred in the steepest areas of the reservoirs and in areas where the data were interpolated. Geospatial files of the bathymetry data, including mapped bathymetric surfaces, contours, and capacity tables, quality assurance points, and associated metadata are available for download as part of an accompanying U.S. Geological Survey data release.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215057","collaboration":"Prepared in cooperation with the New York City Department of Environmental Protection","usgsCitation":"Nystrom, E.A., Huston, C.J., and Welk, R.J., 2021, Bathymetry of New York City’s East of Hudson reservoirs and controlled lakes, 2017 to 2019: U.S. Geological Survey Scientific Investigations Report 2021–5057, 46 p., https://doi.org/10.3133/sir20215057.","productDescription":"Report: viii, 46 p.; Data Release","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-119563","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":386538,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZZQ2OT","text":"USGS data release","linkHelpText":"Geospatial bathymetry datasets for New York City's East of Hudson Reservoirs and Controlled Lakes"},{"id":386537,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5057/sir20215057.pdf","text":"Report","size":"30.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5057"},{"id":386536,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5057/coverthb2.jpg"}],"country":"United States","state":"New York","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.992919921875,\n              40.88029480552824\n            ],\n            [\n              -73.49853515625,\n              40.88029480552824\n            ],\n            [\n              -73.49853515625,\n              41.40153558289846\n            ],\n            [\n              -73.992919921875,\n              41.40153558289846\n            ],\n            [\n              -73.992919921875,\n              40.88029480552824\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ny@usgs.gov\" data-mce-href=\"mailto:dc_ny@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/ny-water\" data-mce-href=\"https://www.usgs.gov/centers/ny-water\">New York Water Science Center</a><br>U.S. Geological Survey<br>425 Jordan Road<br>Troy, NY 12180–8349</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Data Collection and Processing Methods</li><li>Bathymetric Map Creation</li><li>Results of Bathymetric Surveys</li><li>Accuracy Assessment</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2021-06-16","noUsgsAuthors":false,"publicationDate":"2021-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Nystrom, Elizabeth A. 0000-0002-0886-3439 nystrom@usgs.gov","orcid":"https://orcid.org/0000-0002-0886-3439","contributorId":1072,"corporation":false,"usgs":true,"family":"Nystrom","given":"Elizabeth","email":"nystrom@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817759,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huston, Courtney J. 0000-0002-1518-6448","orcid":"https://orcid.org/0000-0002-1518-6448","contributorId":260355,"corporation":false,"usgs":true,"family":"Huston","given":"Courtney","email":"","middleInitial":"J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817760,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Welk, Robert J. 0000-0003-0852-5584 rwelk@usgs.gov","orcid":"https://orcid.org/0000-0003-0852-5584","contributorId":194109,"corporation":false,"usgs":true,"family":"Welk","given":"Robert","email":"rwelk@usgs.gov","middleInitial":"J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817761,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70221472,"text":"sir20215032 - 2021 - Permeable groundwater pathways and tritium migration patterns from the HANDLEY underground nuclear test, Pahute Mesa, Nevada","interactions":[],"lastModifiedDate":"2021-06-17T10:26:00.248996","indexId":"sir20215032","displayToPublicDate":"2021-06-16T13:00:45","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-5032","displayTitle":"Permeable Groundwater Pathways and Tritium Migration Patterns from the HANDLEY Underground Nuclear Test, Pahute Mesa, Nevada","title":"Permeable groundwater pathways and tritium migration patterns from the HANDLEY underground nuclear test, Pahute Mesa, Nevada","docAbstract":"<p class=\"p1\">The HANDLEY nuclear test was detonated at about 2,700 feet below the water table on March 26, 1970, in Pahute Mesa, south-central Nevada. Measured tritium concentrations in boreholes <i>ER-20-12 </i>and <i>PM-3 </i>indicate that a shallow tritium plume has migrated more than 1 mile (mi) downgradient from the HANDLEY test within a semi-perched aquifer and deeper tritium plumes have migrated 4.5 miles (mi) within underlying regional aquifers. Boreholes <i>ER-20-12 </i>and <i>PM-3 </i>are in an area of moderate-to-low transmissivity, but observation of tritium moving 4.5 mi within 40 years of the detonation indicates that high-transmissivity intervals exist. However, the location of these permeable pathways is unknown.</p><p class=\"p1\">This report integrates geologic, hydrologic, and tritium data to infer the location of permeable pathways near and downgradient from the HANDLEY test. Numerical groundwater-flow and tritium-transport models were developed to estimate hydraulic and transport properties between the HANDLEY test and boreholes <i>ER-20-12 </i>and <i>PM-3</i>. Recharge, hydraulic-conductivity, specific-yield, specific-storage, and effective-porosity distributions were estimated with the numerical models by fitting simulated water-level altitudes, vertical-head differences, aquifer-test transmissivities, tritium concentrations, and drawdowns in wells <i>PM-3-1 </i>and <i>PM-3-2 </i>to measured equivalents. Drawdowns were estimated in wells <i>PM-3-1 </i>and <i>PM-3-2 </i>in response to groundwater withdrawals during the drilling of borehole <i>ER-20-12</i>. A modified hydrostratigraphic framework model (mHFM) was developed that incorporates hydrostratigraphic units (HSUs) from the Pahute Mesa–Oasis Valley hydrostratigraphic framework model (PMOV HFM). HSUs in the mHFM were modified from the PMOV HFM by grouping HSUs that, conceptually, are hydraulically similar and splitting HSUs based on water-level, aquifer-test, and tritium data.</p><p class=\"p1\">Shallow and deeper tritium plumes have migrated to borehole <i>ER-20-12 </i>from the HANDLEY test. The shallow plume migrated from the HANDLEY test through the Timber Mountain welded tuff aquifer, whereas the deeper plumes moved through the Belted Range aquifer (BRA) and modified pre-Belted Range lava flow aquifer (mPBRLFA). Simulated tritium concentrations indicate that the leading edges of tritium plumes reached borehole <i>ER-20-12 </i>by 1990. From 1970 to 2020, the simulated tritium load mostly occurs between borehole <i>ER-20-12 </i>and the HANDLEY test.</p><p class=\"p2\">An unmapped permeable feature was simulated between borehole <i>ER-20-12 </i>and the downgradient Ribbon Cliff structural zone. This permeable feature hydraulically connects the BRA and mPBRLFA with the Tiva Canyon aquifer (TCA). The TCA is the most transmissive unit in the study area. Simulated tritium from the deeper plumes moves through the permeable feature downgradient from borehole <i>ER-20-12 </i>and then migrates toward well <i>PM-3-1 </i>through the TCA. The leading edge of the deeper simulated tritium plumes reaches well <i>PM-3-1 </i>by 2010.</p><p class=\"p2\">The mHFM and PMOV HFM do not include a permeable HSU at the water table near borehole <i>PM-3</i>, which is necessary for numerical flow and transport models to match measured water levels, transmissivities, and tritium concentrations in well <i>PM-3-2</i>. Consistently higher measured tritium concentrations in shallow well <i>PM-3-2</i>, compared to deeper well <i>PM-3-1</i>, and a downward vertical gradient between these wells indicate that a permeable feature exists near the water table that causes faster tritium migration toward the shallow well. Reevaluation of the PMOV HFM and geologic investigations, such as drilling another well, are needed to more precisely understand the shallow permeable pathway from the Handley test to well <i>PM-3-2</i>.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215032","collaboration":"Prepared in cooperation with the U.S. Department of Energy, National Nuclear Security Administration Nevada Site Office, Office of Environmental Management, under Interagency Agreement DE-EM0004969","usgsCitation":"Jackson, T.R., 2021, Permeable groundwater pathways and tritium migration patterns from the HANDLEY underground nuclear test, Pahute Mesa, Nevada: U.S. Geological Survey Scientific Investigations Report 2021–5032, 49 p., https://doi.org/10.3133/sir20215032.","productDescription":"Report: vii, 49 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-120498","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":386552,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5032/coverthb.jpg"},{"id":386553,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5032/sir20215032.pdf","text":"Report","size":"2.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5032"},{"id":386554,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YRDQSN","text":"USGS data release","description":"USGS data release.","linkHelpText":"MODFLOW-2005 and MT3DMS models and supplemental data used to simulate groundwater flow and tritium transport from the HANDLEY underground nuclear test, Pahute Mesa, southern Nevada"}],"country":"United States","state":"Nevada","otherGeospatial":"Pahute Mesa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.333984375,\n              36.491973470593685\n            ],\n            [\n              -115.79589843749999,\n              36.491973470593685\n            ],\n            [\n              -115.79589843749999,\n              37.94419750075404\n            ],\n            [\n              -117.333984375,\n              37.94419750075404\n            ],\n            [\n              -117.333984375,\n              36.491973470593685\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_nv@usgs.gov\" data-mce-href=\"mailto:dc_nv@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/nv- water\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/nv- water\">Nevada Water Science Center</a><br>U.S. Geological Survey <br>2730 N. Deer Run Road <br>Carson City, Nevada 89701</p>","tableOfContents":"<ul><li>Introduction</li><li>Conceptual Framework</li><li>Numerical Model Development and Calibration</li><li>Permeable Pathways from the HANDLEY Underground Nuclear Test</li><li>Tritium Migration from the HANDLEY Underground Nuclear Test</li><li>Data Incongruencies at Borehole PM-3</li><li>Model Limitations</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishedDate":"2021-06-16","noUsgsAuthors":false,"publicationDate":"2021-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Jackson, Tracie R. 0000-0001-8553-0323 tjackson@usgs.gov","orcid":"https://orcid.org/0000-0001-8553-0323","contributorId":150591,"corporation":false,"usgs":true,"family":"Jackson","given":"Tracie","email":"tjackson@usgs.gov","middleInitial":"R.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":false,"id":817781,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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Dakota\",\"nation\":\"USA  \"}}]}","edition":"Version 1.0: June 16, 2021; Version 1.1: February 22, 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>Mapping South Dakota Croplands</li><li>Watching South Dakota’s Wetlands</li><li>Protecting South Dakota Forests</li><li>Landsat—Critical Information Infrastructure for the Nation</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla 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And although California’s nickname is “The Golden State,\" it may also deserve the title of “The Extreme State.” Mount Whitney, the highest peak in the conterminous United States, stands at 14,494 feet above sea level in the Sierra Nevada mountain range. Just 2.5 hours away by car, Death Valley’s Badwater Basin boasts the lowest point in the United States: 282 feet below sea level. Although hundreds of inches of snow fall on Mount Whitney each year, the rainfall in Death Valley, commonly called the hottest place on Earth, averages less than 2 inches.</p><p>California is the most populous U.S. State with 39 million residents, 26 million of whom live near the coast. It’s also the most agriculturally productive State, raising a variety of fruits, vegetables, nuts, grains, grasses, and flowers in addition to dairy and livestock. 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 \"}}]}","edition":"Version 1.0: June 16, 2021; Version 1.1: January 30, 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>Watching Where the Water Goes</li><li>Revealing More About Wildfires</li><li>Classifying Vegetation for More Than 40 Years</li><li>Landsat—Critical Information Infrastructure for the Nation</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2021-06-16","revisedDate":"2023-01-30","noUsgsAuthors":false,"publicationDate":"2021-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":202815,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":817699,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70221869,"text":"70221869 - 2021 - Incorporating water quality analysis into navigation assessments as demonstrated in the Mississippi River Basin","interactions":[],"lastModifiedDate":"2021-07-13T10:12:39.278789","indexId":"70221869","displayToPublicDate":"2021-06-16T10:46:37","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8957,"text":"Journal of Waterway, Port, Coastal, and Ocean Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Incorporating water quality analysis into navigation assessments as demonstrated in the Mississippi River Basin","docAbstract":"<div class=\"NLM_sec NLM_sec_level_1 hlFld-Abstract\"><p>A description of historical and ambient water quality conditions is often required as part of navigational studies. This paper describes a series of tools developed by the USGS that can aid navigation managers in developing water quality assessments. The tools use R, a statistical software program, and provide methods to retrieve historical streamflow and water quality data, summarize observations, model concentrations and fluxes, and estimate seasonal, annual, and decadal trends. The utility of these tools is demonstrated by providing an analysis of the seasonal variability and long-term trends of nitrate plus nitrite, orthophosphate, and suspended sediment concentrations and fluxes at nine sites in the Mississippi River Basin. Trends in annual mean concentration and flux showed fairly stable nitrate plus nitrite at most of the nine sites, with increases in the Upper Mississippi and Missouri Rivers and decreases on the Illinois River over a 40-year period beginning in 1980. Orthophosphate concentration or flux increased at almost all sites over a similar time period. Conversely, a concurrent steady decline in suspended sediment concentrations and fluxes was noted at sites throughout the basin.</p></div>","language":"English","publisher":"ACSE","doi":"10.1061/(ASCE)WW.1943-5460.0000651","usgsCitation":"Kleiss, B., Murphy, J., Mayne, C.M., Allgeier, J.P., Edmondson, A.B., Ginsberg, K.C., Jones, K.E., Lauth, T.J., Moe, E.L., Murphy, J.W., and Allison, M., 2021, Incorporating water quality analysis into navigation assessments as demonstrated in the Mississippi River Basin: Journal of Waterway, Port, Coastal, and Ocean Engineering, v. 147, no. 5, 10 p., https://doi.org/10.1061/(ASCE)WW.1943-5460.0000651.","productDescription":"10 p.","ipdsId":"IP-124379","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":451853,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1061/(asce)ww.1943-5460.0000651","text":"Publisher Index Page"},{"id":436304,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GQNK12","text":"USGS data release","linkHelpText":"Data to Incorporate Water Quality Analysis into Navigation Assessments as Demonstrated in the Mississippi River Basin"},{"id":387122,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mississippi River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.64843750000003,\n              43.32517767999294\n            ],\n            [\n              -89.73632812500001,\n              44.55916341529179\n            ],\n            [\n              -90.52734375,\n              45.55252525134013\n            ],\n            [\n    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-88.24218750000001,\n              42.94033923363181\n            ],\n            [\n              -89.64843750000003,\n              43.32517767999294\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"147","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kleiss, Barbara 0000-0002-9348-4379","orcid":"https://orcid.org/0000-0002-9348-4379","contributorId":260898,"corporation":false,"usgs":false,"family":"Kleiss","given":"Barbara","email":"","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":819097,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":139729,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer C.","email":"jmurphy@usgs.gov","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":false,"id":819098,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mayne, Casey M.","contributorId":260899,"corporation":false,"usgs":false,"family":"Mayne","given":"Casey","email":"","middleInitial":"M.","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":819191,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allgeier, Jake P.","contributorId":260900,"corporation":false,"usgs":false,"family":"Allgeier","given":"Jake","email":"","middleInitial":"P.","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":819192,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Edmondson, Amanda B.","contributorId":260901,"corporation":false,"usgs":false,"family":"Edmondson","given":"Amanda","email":"","middleInitial":"B.","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":819193,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ginsberg, Katrina C.","contributorId":260902,"corporation":false,"usgs":false,"family":"Ginsberg","given":"Katrina","email":"","middleInitial":"C.","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":819194,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jones, Keaton E.","contributorId":260903,"corporation":false,"usgs":false,"family":"Jones","given":"Keaton","email":"","middleInitial":"E.","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":819195,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lauth, Timothy J.","contributorId":260904,"corporation":false,"usgs":false,"family":"Lauth","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":819196,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Moe, Emily L.","contributorId":260905,"corporation":false,"usgs":false,"family":"Moe","given":"Emily","email":"","middleInitial":"L.","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":819197,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Murphy, Julie W.","contributorId":260906,"corporation":false,"usgs":false,"family":"Murphy","given":"Julie","email":"","middleInitial":"W.","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":819198,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Allison, Mead","contributorId":189572,"corporation":false,"usgs":false,"family":"Allison","given":"Mead","affiliations":[],"preferred":false,"id":819199,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70224560,"text":"70224560 - 2021 - Most rivers and streams run dry every year","interactions":[],"lastModifiedDate":"2021-09-27T15:42:29.095205","indexId":"70224560","displayToPublicDate":"2021-06-16T10:39:40","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"Most rivers and streams run dry every year","docAbstract":"<p><span>The flowing waters of surface rivers and streams efficiently transport sediment, organic material and nutrients, among other things, from hillsides and overland areas to downstream lakes, reservoirs and the ocean. Along the way, rivers and streams (hereafter referred to collectively as streams) provide important resources for our communities and support rich, complex ecosystems. Non-perennial streams, which do not flow year-round, are crucial in this context. However, because non-perennial streams are less reliable sources of surface water than perennial ones, they are less-well studied than their perennial counterparts. Writing in&nbsp;</span><i>Nature</i><span>, Messager&nbsp;</span><i>et al</i><span>.</span><sup><a href=\"https://www.nature.com/articles/d41586-021-01528-4#ref-CR1\" data-track=\"click\" data-action=\"anchor-link\" data-track-label=\"go to reference\" data-track-category=\"references\" data-mce-href=\"https://www.nature.com/articles/d41586-021-01528-4#ref-CR1\">1</a></sup><span>&nbsp;provide a much-needed estimate of the total proportion of the world’s stream network, by length, that is non-perennial — and find that most fall into this category.</span></p>","language":"English","publisher":"Nature Publications","doi":"10.1038/d41586-021-01528-4","usgsCitation":"Jaeger, K., 2021, Most rivers and streams run dry every year: Nature, v. 594, p. 335-336, https://doi.org/10.1038/d41586-021-01528-4.","productDescription":"2 p.","startPage":"335","endPage":"336","ipdsId":"IP-129687","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":389817,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"594","noUsgsAuthors":false,"publicationDate":"2021-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Jaeger, Kristin 0000-0002-1209-8506 kjaeger@usgs.gov","orcid":"https://orcid.org/0000-0002-1209-8506","contributorId":196686,"corporation":false,"usgs":true,"family":"Jaeger","given":"Kristin","email":"kjaeger@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":824058,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70250007,"text":"70250007 - 2021 - Recovery and analysis of ancient beetle DNA from subfossil packrat middens using high-throughput sequencing","interactions":[],"lastModifiedDate":"2023-11-12T14:16:49.366671","indexId":"70250007","displayToPublicDate":"2021-06-16T07:53:41","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Recovery and analysis of ancient beetle DNA from subfossil packrat middens using high-throughput sequencing","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>The study of ancient DNA is revolutionizing our understanding of paleo-ecology and the evolutionary history of species. Insects are essential components in many ecosystems and constitute the most diverse group of animals. Yet they are largely neglected in ancient DNA studies. We report the results of the first targeted investigation of insect ancient DNA to positively identify subfossil insects to species, which includes the recovery of endogenous content from samples as old as ~ 34,355 ybp. Potential inhibitors currently limiting widespread research on insect ancient DNA are discussed, including the lack of closely related genomic reference sequences (decreased mapping efficiency) and the need for more extensive collaborations with insect taxonomists. The advantages of insect-based studies are also highlighted, especially in the context of understanding past climate change. In this regard, insect remains from ancient packrat middens are a rich and largely uninvestigated resource for exploring paleo-ecology and species dynamics over time.</p></div></div>","language":"English","publisher":"Nature","doi":"10.1038/s41598-021-91896-8","usgsCitation":"Smith, A.D., Kaminski, M.J., Kanda, K., Sweet, A.D., Betancourt, J.L., Holmgren, C.A., Hempel, E., Alberti, F., and Hofreiter, M., 2021, Recovery and analysis of ancient beetle DNA from subfossil packrat middens using high-throughput sequencing: Scientific Reports, v. 11, 12635, 11 p., https://doi.org/10.1038/s41598-021-91896-8.","productDescription":"12635, 11 p.","ipdsId":"IP-123216","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":451859,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-021-91896-8","text":"Publisher Index Page"},{"id":422523,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","noUsgsAuthors":false,"publicationDate":"2021-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Aaron D.","contributorId":167702,"corporation":false,"usgs":false,"family":"Smith","given":"Aaron","email":"","middleInitial":"D.","affiliations":[{"id":24810,"text":"Department of Biological Sciences, Northern Arizona University, Flagstaff, Arizona, USA","active":true,"usgs":false}],"preferred":false,"id":887966,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaminski, Marcin J. 0000-0002-7165-0743","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":331525,"corporation":false,"usgs":false,"family":"Kaminski","given":"Marcin","email":"","middleInitial":"J.","affiliations":[{"id":79232,"text":"Museum and Institute of Zoology, Polish Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":887974,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kanda, Kojun","contributorId":331531,"corporation":false,"usgs":false,"family":"Kanda","given":"Kojun","email":"","affiliations":[],"preferred":false,"id":887981,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sweet, Andrew D.","contributorId":192032,"corporation":false,"usgs":false,"family":"Sweet","given":"Andrew","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":887982,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":887983,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Holmgren, Camille A.","contributorId":75258,"corporation":false,"usgs":true,"family":"Holmgren","given":"Camille","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":887984,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hempel, Elisabeth","contributorId":331532,"corporation":false,"usgs":false,"family":"Hempel","given":"Elisabeth","email":"","affiliations":[],"preferred":false,"id":887985,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Alberti, Federica","contributorId":331533,"corporation":false,"usgs":false,"family":"Alberti","given":"Federica","email":"","affiliations":[],"preferred":false,"id":887986,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hofreiter, Michael","contributorId":94830,"corporation":false,"usgs":true,"family":"Hofreiter","given":"Michael","email":"","affiliations":[],"preferred":false,"id":887987,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70221443,"text":"70221443 - 2021 - Lower Granite Reservoir biological monitoring at 2015 disposal site","interactions":[],"lastModifiedDate":"2021-06-16T12:45:08.732535","indexId":"70221443","displayToPublicDate":"2021-06-16T07:39:48","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Lower Granite Reservoir biological monitoring at 2015 disposal site","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"U.S. Army Corps of Engineers Digital Library","collaboration":"U.S. Army Corps of Engineers","usgsCitation":"Hemingway, R., and Tiffan, K., 2021, Lower Granite Reservoir biological monitoring at 2015 disposal site, xvi, 120 p.","productDescription":"xvi, 120 p.","ipdsId":"IP-126531","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":386524,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":386517,"type":{"id":15,"text":"Index Page"},"url":"https://usace.contentdm.oclc.org/digital/collection/p16021coll7/id/18258"}],"country":"United States","state":"Washington","otherGeospatial":"Lower Granite Reservoir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.46925354003908,\n              46.63387921452026\n            ],\n            [\n              -117.36900329589842,\n              46.63387921452026\n            ],\n            [\n              -117.36900329589842,\n              46.698670324497115\n            ],\n            [\n              -117.46925354003908,\n              46.698670324497115\n            ],\n            [\n              -117.46925354003908,\n              46.63387921452026\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hemingway, Rulon J 0000-0001-8143-0325","orcid":"https://orcid.org/0000-0001-8143-0325","contributorId":260321,"corporation":false,"usgs":false,"family":"Hemingway","given":"Rulon J","affiliations":[{"id":36303,"text":"unknown","active":true,"usgs":false}],"preferred":false,"id":817726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tiffan, Kenneth 0000-0002-5831-2846","orcid":"https://orcid.org/0000-0002-5831-2846","contributorId":217812,"corporation":false,"usgs":true,"family":"Tiffan","given":"Kenneth","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":817727,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70221752,"text":"70221752 - 2021 - Translocations maintain genetic diversity and increase connectivity in sea otters, Enhydra lutris","interactions":[],"lastModifiedDate":"2021-10-06T15:00:05.158038","indexId":"70221752","displayToPublicDate":"2021-06-16T07:34:23","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2671,"text":"Marine Mammal Science","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Translocations maintain genetic diversity and increase connectivity in sea otters, <i>Enhydra lutris</i>","title":"Translocations maintain genetic diversity and increase connectivity in sea otters, Enhydra lutris","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Sea otters,<span>&nbsp;</span><i>Enhydra lutris</i>, were once abundant along the nearshore areas of the North Pacific. The international maritime fur trade that ended in 1911 left 13 small remnant populations with low genetic diversity. Subsequent translocations into previously occupied habitat resulted in several reintroduced populations along the coast of North America. We sampled sea otters between 2008 and 2011 throughout much of their current range and used 19 nuclear microsatellite markers to evaluate genetic diversity, population structure, and connectivity between remnant and reintroduced populations. Average genetic diversity within populations was similar: observed heterozygosity 0.55 and 0.53, expected heterozygosity 0.56 and 0.52, unbiased expected heterozygosity 0.57 and 0.52, for reintroduced and remnant populations, respectively. Sea otter population structure was greatest between the Northern and Southern sea otters with further structuring in Northern sea otters into Western, Central, and Southeast populations (including the reintroduced populations). Migrant analyses suggest the successful reintroductions and growth of remnant groups have enhanced connectivity and gene flow between populations throughout many of the sampled Northern populations. We recommend that future management actions for the Southern sea otter focus on future reintroductions to fill the gap between the California and Washington populations ultimately restoring gene flow to the isolated California population.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/mms.12841","usgsCitation":"Larson, S.E., Gagne, R., Bodkin, J.L., Murray, M.J., Ralls, K., Bowen, L., Leblois, R., Piry, S., Penedo, M.C., Tinker, M., and Ernest, H.B., 2021, Translocations maintain genetic diversity and increase connectivity in sea otters, Enhydra lutris: Marine Mammal Science, v. 37, no. 4, p. 1475-1497, https://doi.org/10.1111/mms.12841.","productDescription":"13 p.","startPage":"1475","endPage":"1497","ipdsId":"IP-111643","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":467238,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/mms.12841","text":"External Repository"},{"id":386919,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Russia, United States","otherGeospatial":"North Pacific","volume":"37","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Larson, Shawn E.","contributorId":149287,"corporation":false,"usgs":false,"family":"Larson","given":"Shawn","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":818611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gagne, Roderick B.","contributorId":192579,"corporation":false,"usgs":false,"family":"Gagne","given":"Roderick B.","affiliations":[],"preferred":false,"id":818612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bodkin, James L. 0000-0003-1641-4438 jbodkin@usgs.gov","orcid":"https://orcid.org/0000-0003-1641-4438","contributorId":748,"corporation":false,"usgs":true,"family":"Bodkin","given":"James","email":"jbodkin@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":818613,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murray, Michael J.","contributorId":206852,"corporation":false,"usgs":false,"family":"Murray","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":37418,"text":"Monterey Bay Aquarium, Monterey, CA","active":true,"usgs":false}],"preferred":false,"id":818614,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ralls, Katherine","contributorId":37900,"corporation":false,"usgs":false,"family":"Ralls","given":"Katherine","email":"","affiliations":[{"id":7035,"text":"Smithsonian Conservation Biology Institute, National Zoological Park","active":true,"usgs":false}],"preferred":false,"id":818615,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bowen, Lizabeth 0000-0001-9115-4336 lbowen@usgs.gov","orcid":"https://orcid.org/0000-0001-9115-4336","contributorId":4539,"corporation":false,"usgs":true,"family":"Bowen","given":"Lizabeth","email":"lbowen@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":818616,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Leblois, Raphael","contributorId":260730,"corporation":false,"usgs":false,"family":"Leblois","given":"Raphael","email":"","affiliations":[{"id":52658,"text":"University Montpellier, Montpellier, France","active":true,"usgs":false}],"preferred":false,"id":818617,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Piry, Sylvain","contributorId":260731,"corporation":false,"usgs":false,"family":"Piry","given":"Sylvain","email":"","affiliations":[{"id":52658,"text":"University Montpellier, Montpellier, France","active":true,"usgs":false}],"preferred":false,"id":818618,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Penedo, Maria Cecilia","contributorId":260751,"corporation":false,"usgs":false,"family":"Penedo","given":"Maria","email":"","middleInitial":"Cecilia","affiliations":[],"preferred":false,"id":818641,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Tinker, M. Tim","contributorId":222880,"corporation":false,"usgs":false,"family":"Tinker","given":"M. Tim","affiliations":[{"id":40616,"text":"former USGS PI","active":true,"usgs":false}],"preferred":false,"id":818619,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ernest, Holly B.","contributorId":127689,"corporation":false,"usgs":false,"family":"Ernest","given":"Holly","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":818620,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70245123,"text":"70245123 - 2021 - Hemidactylus turcicus (Mediterranean Gecko). Endoparasite.","interactions":[],"lastModifiedDate":"2023-06-16T12:21:30.91158","indexId":"70245123","displayToPublicDate":"2021-06-16T07:21:06","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"Hemidactylus turcicus (Mediterranean Gecko). Endoparasite.","docAbstract":"Hemidactylus turcicus is a native of western India, Somalia, the Middle East, and the Mediterranean region and is one of the most successful invasive species in the world (Kraus. 2009. Alien Reptiles and Amphibians: A Scientific Compendium and Analysis. Springer Verlag, Berlin. 563 pp.). Since its introduction into the USA via the Port of Miami, Florida, around 1915, the range of this gecko has  increased to include much of southern North America from Virginia and Florida west to California (Meshaka et al. 2006. Herpetol. Conserv. Biol. 1:145–150). A summation of the helminth parasites of both introduced and native H. turcicus was provided by McAllister and Bursey (2016. Acta Parasitol. 61:576–584). Here, we document a new host record for a tapeworm parasite of an introduced H. turcicus.","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"McAllister, C., Bursey, C.R., Fisher, S., Martin, C.E., and Fisher, R., 2021, Hemidactylus turcicus (Mediterranean Gecko). Endoparasite.: Herpetological Review, v. 52, p. 408-409.","productDescription":"2 p.","startPage":"408","endPage":"409","ipdsId":"IP-128752","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":418158,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418139,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://ssarherps.org/herpetological-review-pdfs/"}],"volume":"52","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McAllister, Chris T.","contributorId":303299,"corporation":false,"usgs":false,"family":"McAllister","given":"Chris T.","affiliations":[{"id":65753,"text":"Eastern Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":875586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bursey, Charles R","contributorId":303300,"corporation":false,"usgs":false,"family":"Bursey","given":"Charles","email":"","middleInitial":"R","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":875587,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, Samuel R","contributorId":225265,"corporation":false,"usgs":false,"family":"Fisher","given":"Samuel R","affiliations":[{"id":41086,"text":"La Sierra University","active":true,"usgs":false}],"preferred":false,"id":875588,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Chelsea E","contributorId":259234,"corporation":false,"usgs":false,"family":"Martin","given":"Chelsea","email":"","middleInitial":"E","affiliations":[{"id":52330,"text":"Loma Linda University","active":true,"usgs":false}],"preferred":false,"id":875589,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fisher, Robert N. 0000-0002-2956-3240","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":51675,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":875590,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70221446,"text":"70221446 - 2021 - Carbonate-hosted microbial communities are prolific and pervasive methane oxidizers at geologically diverse marine methane seep sites","interactions":[],"lastModifiedDate":"2021-06-16T12:11:35.156021","indexId":"70221446","displayToPublicDate":"2021-06-16T07:03:29","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8936,"text":"Proceedings of the National Academy of Sciences (PNAS)","active":true,"publicationSubtype":{"id":10}},"title":"Carbonate-hosted microbial communities are prolific and pervasive methane oxidizers at geologically diverse marine methane seep sites","docAbstract":"<p><span>At marine methane seeps, vast quantities of methane move through the shallow subseafloor, where it is largely consumed by microbial communities. This process plays an important role in global methane dynamics, but we have yet to identify all of the methane sinks in the deep sea. Here, we conducted a continental-scale survey of seven geologically diverse seafloor seeps and found that carbonate rocks from all sites host methane-oxidizing microbial communities with substantial methanotrophic potential. In laboratory-based mesocosm incubations, chimney-like carbonates from the newly described Point Dume seep off the coast of Southern California exhibited the highest rates of anaerobic methane oxidation measured to date. After a thorough analysis of physicochemical, electrical, and biological factors, we attribute this substantial metabolic activity largely to higher cell density, mineral composition, kinetic parameters including an elevated V</span><sub>max</sub><span>, and the presence of specific microbial lineages. Our data also suggest that other features, such as electrical conductance, rock particle size, and microbial community alpha diversity, may influence a sample’s methanotrophic potential, but these factors did not demonstrate clear patterns with respect to methane oxidation rates. Based on the apparent pervasiveness within seep carbonates of microbial communities capable of performing anaerobic oxidation of methane, as well as the frequent occurrence of carbonates at seeps, we suggest that rock-hosted methanotrophy may be an important contributor to marine methane consumption.</span></p>","language":"English","publisher":"PNAS","doi":"10.1073/pnas.2006857118","usgsCitation":"Marlow, J.J., Hoer, D., Jungbluth, S., Reynard, L., Gartman, A., Chavez, M.S., El-Naggar, M.Y., Tuross, N., Orphan, V., and Girguis, P.R., 2021, Carbonate-hosted microbial communities are prolific and pervasive methane oxidizers at geologically diverse marine methane seep sites: Proceedings of the National Academy of Sciences (PNAS), v. 118, no. 25, e2006857118, 11 p., https://doi.org/10.1073/pnas.2006857118.","productDescription":"e2006857118, 11 p.","ipdsId":"IP-102138","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":451864,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.2006857118","text":"Publisher Index Page"},{"id":386522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"118","issue":"25","noUsgsAuthors":false,"publicationDate":"2021-06-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Marlow, Jeffrey J. 0000-0003-2858-8806","orcid":"https://orcid.org/0000-0003-2858-8806","contributorId":260324,"corporation":false,"usgs":false,"family":"Marlow","given":"Jeffrey","email":"","middleInitial":"J.","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":817732,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoer, Daniel 0000-0002-0644-760X","orcid":"https://orcid.org/0000-0002-0644-760X","contributorId":260325,"corporation":false,"usgs":false,"family":"Hoer","given":"Daniel","email":"","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":817733,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jungbluth, Sean 0000-0001-9265-8341","orcid":"https://orcid.org/0000-0001-9265-8341","contributorId":260326,"corporation":false,"usgs":false,"family":"Jungbluth","given":"Sean","email":"","affiliations":[{"id":40704,"text":"Department of Energy, Joint Genome Institute","active":true,"usgs":false}],"preferred":false,"id":817734,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reynard, Linda 0000-0001-5732-1532","orcid":"https://orcid.org/0000-0001-5732-1532","contributorId":260328,"corporation":false,"usgs":false,"family":"Reynard","given":"Linda","email":"","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":817735,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gartman, Amy 0000-0001-9307-3062 agartman@usgs.gov","orcid":"https://orcid.org/0000-0001-9307-3062","contributorId":177057,"corporation":false,"usgs":true,"family":"Gartman","given":"Amy","email":"agartman@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":817736,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chavez, Marko S.","contributorId":260331,"corporation":false,"usgs":false,"family":"Chavez","given":"Marko","email":"","middleInitial":"S.","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":817737,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"El-Naggar, Mohamed Y.","contributorId":260334,"corporation":false,"usgs":false,"family":"El-Naggar","given":"Mohamed","email":"","middleInitial":"Y.","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":817738,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tuross, Noreen 0000-0002-3080-4005","orcid":"https://orcid.org/0000-0002-3080-4005","contributorId":260336,"corporation":false,"usgs":false,"family":"Tuross","given":"Noreen","email":"","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":817739,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Orphan, Victoria 0000-0002-5374-6178","orcid":"https://orcid.org/0000-0002-5374-6178","contributorId":260339,"corporation":false,"usgs":false,"family":"Orphan","given":"Victoria","email":"","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":817740,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Girguis, Peter R. 0000-0002-3599-8160","orcid":"https://orcid.org/0000-0002-3599-8160","contributorId":260340,"corporation":false,"usgs":false,"family":"Girguis","given":"Peter","email":"","middleInitial":"R.","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":817741,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70221552,"text":"70221552 - 2021 - Evaluation of techniques for mitigating snowmelt infiltration-induced landsliding in a highway embankment","interactions":[],"lastModifiedDate":"2021-06-22T11:58:55.208677","indexId":"70221552","displayToPublicDate":"2021-06-16T06:53:48","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1517,"text":"Engineering Geology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of techniques for mitigating snowmelt infiltration-induced landsliding in a highway embankment","docAbstract":"<p><span>Infiltration-induced landslides threaten transportation infrastructure around the world, and impose both direct costs through repair and remediation work and indirect costs through lost economic activity. Therefore, finding the most cost-effective techniques to mitigate slope failures that can impact critical infrastructure links is desirable. The Straight Creek landslide, which affects a segment of Interstate 70 in Summit County, Colorado (USA), has experienced seasonal failure driven by rapid springtime snowmelt infiltration since the early 1970s, allowing changes in its stability to be studied. Past studies have established that seasonal failure is driven by pore-water pressure increase caused by the rapid infiltration of snowmelt and the&nbsp;hydraulic conductivity&nbsp;contrast between upper slope materials and the highway&nbsp;embankment. Two remediation designs have been applied to the site, including lightweight&nbsp;</span>caissons<span>&nbsp;beneath the highway surface in 2011 and 2012, and horizontal drains near the slide toe in 2012. The effects of the lightweight caissons and horizontal drains, as well as an alternative drain design that would extend into the&nbsp;hillslope&nbsp;above the highway embankment, are evaluated within a rigorous hydro-mechanical simulation framework along with a method to generate a field of local factor of safety. Model results show that the effect of the lightweight caissons on the factor of safety is no more than 1% during times of critical instability, as they do not affect the seasonal changes in hydrology that cause destabilizing decreases in effective stress along the failure surface. Horizontal drains are intended to reduce pore-water pressures, but the location of existing drains limit their efficacy due to the low hydraulic conductivity of subsurface materials underneath the highway. Model results indicate that these drains are only partially responsible for a reduction in movement rate since their installation, which is also due to lower annual cumulative snowmelt infiltration levels since 2012. Results also show that an alternative drain design could result in increased stability during critical periods by intercepting downslope&nbsp;subsurface flow&nbsp;before it arrives at the hydraulic conductivity contrast at the embankment.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.enggeo.2021.106240","usgsCitation":"Hinds, E., Lu, N., Mirus, B.B., Godt, J.W., and Wayllace, A., 2021, Evaluation of techniques for mitigating snowmelt infiltration-induced landsliding in a highway embankment: Engineering Geology, v. 291, 106240, 11 p., https://doi.org/10.1016/j.enggeo.2021.106240.","productDescription":"106240, 11 p.","ipdsId":"IP-117388","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":451867,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.enggeo.2021.106240","text":"Publisher Index Page"},{"id":386641,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"Colorado","otherGeospatial":"Straight Creek slide","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.9521484375,\n              39.75471275080197\n            ],\n            [\n              -105.79147338867188,\n              39.75471275080197\n            ],\n            [\n              -105.79147338867188,\n              39.930800820752765\n            ],\n            [\n              -105.9521484375,\n              39.930800820752765\n            ],\n            [\n              -105.9521484375,\n              39.75471275080197\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"291","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hinds, Eric","contributorId":218084,"corporation":false,"usgs":false,"family":"Hinds","given":"Eric","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":818027,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lu, Ning","contributorId":191360,"corporation":false,"usgs":false,"family":"Lu","given":"Ning","email":"","affiliations":[{"id":12620,"text":"U.S. Army Corp. of Engineers","active":true,"usgs":false}],"preferred":false,"id":818028,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mirus, Benjamin B. 0000-0001-5550-014X bbmirus@usgs.gov","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":4064,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin","email":"bbmirus@usgs.gov","middleInitial":"B.","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":818029,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":818030,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wayllace, Alexandra","contributorId":203213,"corporation":false,"usgs":false,"family":"Wayllace","given":"Alexandra","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":818031,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70274339,"text":"70274339 - 2021 - When Wyoming became Superior: Oblique convergence along the southern Trans-Hudson orogen","interactions":[],"lastModifiedDate":"2026-03-27T16:19:34.178613","indexId":"70274339","displayToPublicDate":"2021-06-16T00:00:00","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"When Wyoming became Superior: Oblique convergence along the southern Trans-Hudson orogen","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>The Trans-Hudson orogen (THO) is one of the best-preserved Proterozoic orogens on Earth, largely unaffected by subsequent tectonism, yet its southern extent lies concealed beneath the North American Central Plains. A new 3D resistivity model over the southern orogen is developed and interpreted alongside borehole, potential field, and seismic reflection data. We present the first synoptic crustal view of the southern THO and a new tectonic model of the orogen. Our model reveals high-conductivity belts marking paleo-subduction zones while the orogen center consists of deeply exhumed relatively dense and mostly magnetic juvenile crust preserved between the deformed margins of the Wyoming and Superior cratons. Complex structure along the western margin suggests convergence began with oblique subduction and the northward transport of severed fragments of the Wyoming Province. High-conductivity belts are in places offset from upper-crustal geophysical boundaries, consistent with the thrusting of accreted arcs over the Archean margins during terminal closure.</span></span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021GL092970","usgsCitation":"Bedrosian, P.A., and Finn, C., 2021, When Wyoming became Superior: Oblique convergence along the southern Trans-Hudson orogen: Geophysical Research Letters, v. 48, no. 13, e2021GL092970, 10 p., https://doi.org/10.1029/2021GL092970.","productDescription":"e2021GL092970, 10 p.","ipdsId":"IP-128575","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":501577,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501605,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2021gl092970","text":"Publisher Index Page"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.52047674158729,\n              55.2786050391222\n            ],\n            [\n              -111.52047674158729,\n              41.422595132286716\n            ],\n            [\n              -91.30332888849887,\n              41.422595132286716\n            ],\n            [\n              -91.30332888849887,\n              55.2786050391222\n            ],\n            [\n              -111.52047674158729,\n              55.2786050391222\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"48","issue":"13","noUsgsAuthors":false,"publicationDate":"2021-07-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":957953,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finn, Carol A. 0000-0002-6178-0405","orcid":"https://orcid.org/0000-0002-6178-0405","contributorId":229711,"corporation":false,"usgs":true,"family":"Finn","given":"Carol A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":957954,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70221407,"text":"ofr20211059 - 2021 - Surface-mining modeling for USGS coal assessments","interactions":[],"lastModifiedDate":"2021-06-16T11:43:56.91242","indexId":"ofr20211059","displayToPublicDate":"2021-06-15T15:15:00","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":"2021-1059","displayTitle":"Surface-Mining Modeling for USGS Coal Assessments","title":"Surface-mining modeling for USGS coal assessments","docAbstract":"<p>The value of national coal deposits is determined for the Solid Fuel Energy Resources Assessment and Research Project through economic evaluations using hypothetical mining models. Deposits near the surface are evaluated with the U.S. Geological Survey (USGS) surface-mining model, which is patterned after the standard mining techniques and infrastructures of commercial mining projects. The USGS surface-mining model uses these commercial mining project techniques as guides to develop a quantitative measurement to distinguish between potential recoverable resources and reserves by comparing total project cost and market value.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211059","usgsCitation":"Pierce, P.E., 2021, Surface-mining modeling for USGS coal assessments: U.S. Geological Survey Open-File Report 2021–1059, 13 p., https://doi.org/10.3133/ofr20211059.","productDescription":"iv, 13 p.","onlineOnly":"Y","ipdsId":"IP-117620","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":386474,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1059/coverthb.jpg"},{"id":386475,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1059/ofr20211059.pdf","text":"Report","size":"2.39 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021-1059"}],"contact":"<p>Director, <a href=\"http://energy.usgs.gov/\" data-mce-href=\"http://energy.usgs.gov/\">Central Energy Resources Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-939<br>Denver, CO 80225-0046</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Surface Mining Operations Used in USGS Coal Assessments</li><li>Surface Facilities Required for USGS Surface-Mining Model</li><li>Economic Modeling of USGS Surface Coal Mining Operations</li><li>Future Coal Assessment Studies</li><li>Summary</li><li>References Cited</li><li>Glossary</li></ul>","publishedDate":"2021-06-15","noUsgsAuthors":false,"publicationDate":"2021-06-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Pierce, Paul E. 0000-0001-5750-7580 ppierce@usgs.gov","orcid":"https://orcid.org/0000-0001-5750-7580","contributorId":217892,"corporation":false,"usgs":true,"family":"Pierce","given":"Paul","email":"ppierce@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":817617,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70221425,"text":"ofr20211068 - 2021 - Decision analysis of barrier placement and targeted removal to control invasive carp in the Tennessee River Basin","interactions":[],"lastModifiedDate":"2024-03-04T19:53:34.651544","indexId":"ofr20211068","displayToPublicDate":"2021-06-15T14:21:29","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":"2021-1068","displayTitle":"Decision Analysis of Barrier Placement and Targeted Removal to Control Invasive Carp in the Tennessee River Basin","title":"Decision analysis of barrier placement and targeted removal to control invasive carp in the Tennessee River Basin","docAbstract":"<p>Controlling range expansion of invasive carp (specifically <i>Hypophthalmichthys</i> spp.) on the Tennessee River is important to conserve the ecological and economic benefits provided by the river. We collaborated with State and Federal agencies (the stakeholder group) to develop a decision framework and decision support model to evaluate strategies to control carp expansion in the Tennessee River. Using this decision framework, we assessed the efficacy of various barrier strategies (technologies and locations) on reducing bigheaded carp <i>(Hypophthalmichthys nobilis</i> [bighead carp] and <i>Hypophthalmichthys molitrix</i> [silver carp]) relative abundance under different patterns and magnitudes of population growth and movement. We also assessed whether or not these strategies induced tradeoffs between reducing bigheaded carp relative abundance and other considerations for public satisfaction, effects on lock operation, and native species. For the purpose of comparing options to control carp in a quantitative framework, we codeveloped a carp population dynamics model with the stakeholder group. We then used the model to compare invasive carp management options within the Tennessee River system. The actions we considered included barrier placement at lock and dam systems and targeted removal through harvest, which were believed to impede upstream carp spread and establishment. To account for the uncertainty in carp population growth and movement rates, the group developed four population models that varied in the underlying population dynamics and population growth rates. The models affected population growth through either the stock-recruitment relation or intrinsic density-dependent growth rate. We then tasked the stakeholder group to test various strategies using the model. We then developed a more formal optimization framework and solved for strategies that performed well under scenarios of barrier effectiveness, movement rate, recruitment frequency, fishing mortality, and variation in population growth rate. The results of our qualitative and quantitative analyses indicated that strategies designed to first protect reservoirs just above the leading edge of carp invasion by installing barriers and removing fish below that point would perform best; however, this depended on barrier effectiveness. When barrier effectiveness was high, simply cutting off the presumed source of carp and blocking the leading the edge was enough to stop carp invasion; however, lower effectiveness meant that more barriers would be needed to slow, but not completely stop, carp invasion. We discuss what these findings mean in terms of future monitoring and management efforts to reduce the potential for expanding carp invasion.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211068","programNote":"Biological Threats Research Program","usgsCitation":"Post van der Burg, M., Smith, D.R., Cupp, A.R., Rogers, M.W., and Chapman, D.C., 2021, Decision analysis of barrier placement and targeted removal to control invasive carp in the Tennessee River Basin: U.S. Geological Survey Open-File Report 2021–1068, 18 p., https://doi.org/10.3133/ofr20211068.","productDescription":"vi, 18 p.","numberOfPages":"28","onlineOnly":"Y","ipdsId":"IP-129842","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":386492,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1068/coverthb2.jpg"},{"id":386493,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1068/ofr20211068.pdf","text":"Report","size":"979 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021–1068"}],"country":"United States","state":"Kentucky","otherGeospatial":"Tennessee River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.516845703125,\n              37.01132594307015\n            ],\n          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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":817674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":817675,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cupp, Aaron R. 0000-0001-5995-2100 acupp@usgs.gov","orcid":"https://orcid.org/0000-0001-5995-2100","contributorId":5162,"corporation":false,"usgs":true,"family":"Cupp","given":"Aaron","email":"acupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":817676,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rogers, Mark W. 0000-0001-7205-5623 mwrogers@usgs.gov","orcid":"https://orcid.org/0000-0001-7205-5623","contributorId":4590,"corporation":false,"usgs":true,"family":"Rogers","given":"Mark","email":"mwrogers@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":817677,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":817678,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70223270,"text":"70223270 - 2021 - Land use change influences ecosystem function in headwater streams of the Lowland Amazon Basin","interactions":[],"lastModifiedDate":"2021-08-19T16:00:46.724126","indexId":"70223270","displayToPublicDate":"2021-06-15T11:00:15","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Land use change influences ecosystem function in headwater streams of the Lowland Amazon Basin","docAbstract":"<p><span>Intensive agriculture alters headwater streams, but our understanding of its effects is limited in tropical regions where rates of agricultural expansion and intensification are currently greatest. Riparian forest protections are an important conservation tool, but whether they provide adequate protection of stream function in these areas of rapid tropical agricultural development has not been well studied. To address these gaps, we conducted a study in the lowland Brazilian Amazon, an area undergoing rapid cropland expansion, to assess the effects of land use change on organic matter dynamics (OM), ecosystem metabolism, and nutrient concentrations and uptake (nitrate and phosphate) in 11 first order streams draining forested (</span><span class=\"html-italic\">n</span><span>&nbsp;= 4) or cropland (</span><span class=\"html-italic\">n</span><span>&nbsp;= 7) watersheds with intact riparian forests. We found that streams had similar terrestrial litter inputs, but OM biomass was lower in cropland streams. Gross primary productivity was low and not different between land uses, but ecosystem respiration and net ecosystem production showed greater seasonality in cropland streams. Although we found no difference in stream concentrations of dissolved nutrients, phosphate uptake exceeded nitrate uptake in all streams and was higher in cropland than forested streams. This indicates that streams will be more retentive of phosphorus than nitrogen and that if fertilizer nitrogen reaches streams, it will be exported in stream networks. Overall, we found relatively subtle differences in stream function, indicating that riparian buffers have thus far provided protection against major functional shifts seen in other systems. However, the changes we did observe were linked to watershed scale shifts in hydrology, water temperature, and light availability resulting from watershed deforestation. This has implications for the conservation of tens of thousands of stream kilometers across the expanding Amazon cropland region.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/w13121667","usgsCitation":"Jankowski, K.J., Deegan, L.A., Neill, C., Sullivan, H.L., Ilha, P., Maracahipes-Santos, L., Marques, N.C., and Macedo, M., 2021, Land use change influences ecosystem function in headwater streams of the Lowland Amazon Basin: Water, v. 13, no. 12, 1667, 25 p., https://doi.org/10.3390/w13121667.","productDescription":"1667, 25 p.","ipdsId":"IP-106176","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":451868,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w13121667","text":"Publisher Index Page"},{"id":436306,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97KFMQ9","text":"USGS data release","linkHelpText":"Land cover, discharge, terrestrial litterfall, organic matter, and nutrient concentrations of headwater streams in Mato Grosso, Brazil"},{"id":388156,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil","otherGeospatial":"Tanguro Ranch","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -52.75,\n              -13.25\n            ],\n            [\n              -52.00,\n              -13.25\n            ],\n            [\n              -52.00,\n              -12.5\n            ],\n            [\n              -52.75,\n              -12.5\n            ],\n            [\n              -52.75,\n              -13.25\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"13","issue":"12","noUsgsAuthors":false,"publicationDate":"2021-06-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Jankowski, Kathi Jo 0000-0002-3292-4182","orcid":"https://orcid.org/0000-0002-3292-4182","contributorId":207429,"corporation":false,"usgs":true,"family":"Jankowski","given":"Kathi","email":"","middleInitial":"Jo","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":821558,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deegan, Linda A.","contributorId":34094,"corporation":false,"usgs":false,"family":"Deegan","given":"Linda","email":"","middleInitial":"A.","affiliations":[{"id":27818,"text":"The Ecosystems Center, Marine Biological Laboratory. Woods Hole, MA 02543.","active":true,"usgs":false}],"preferred":false,"id":821563,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neill, Christopher","contributorId":218247,"corporation":false,"usgs":false,"family":"Neill","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":821560,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sullivan, HIllary L.","contributorId":264497,"corporation":false,"usgs":false,"family":"Sullivan","given":"HIllary","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":821593,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ilha, Paulo","contributorId":264462,"corporation":false,"usgs":false,"family":"Ilha","given":"Paulo","email":"","affiliations":[{"id":52936,"text":"Instituto de Pesquisa Ambiental da Amazonia","active":true,"usgs":false}],"preferred":false,"id":821557,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Maracahipes-Santos, Leonardo 0000-0002-8402-1399","orcid":"https://orcid.org/0000-0002-8402-1399","contributorId":264463,"corporation":false,"usgs":false,"family":"Maracahipes-Santos","given":"Leonardo","email":"","affiliations":[{"id":52936,"text":"Instituto de Pesquisa Ambiental da Amazonia","active":true,"usgs":false}],"preferred":false,"id":821559,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Marques, Nubia C.S. 0000-0001-9183-9335","orcid":"https://orcid.org/0000-0001-9183-9335","contributorId":261625,"corporation":false,"usgs":false,"family":"Marques","given":"Nubia","email":"","middleInitial":"C.S.","affiliations":[{"id":52936,"text":"Instituto de Pesquisa Ambiental da Amazonia","active":true,"usgs":false}],"preferred":false,"id":821562,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Macedo, Marcia N.","contributorId":218934,"corporation":false,"usgs":false,"family":"Macedo","given":"Marcia N.","affiliations":[{"id":16705,"text":"Woods Hole Research Center","active":true,"usgs":false}],"preferred":false,"id":821561,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70228499,"text":"70228499 - 2021 - Burbot (Lota lota) exhibit plasticity in life-history traits in a small drainage at the southwestern-most extent of the species’ native range","interactions":[],"lastModifiedDate":"2022-02-14T12:01:32.523329","indexId":"70228499","displayToPublicDate":"2021-06-15T09:56:48","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Burbot (<i>Lota lota </i>) exhibit plasticity in life-history traits in a small drainage at the southwestern-most extent of the species’ native range","title":"Burbot (Lota lota) exhibit plasticity in life-history traits in a small drainage at the southwestern-most extent of the species’ native range","docAbstract":"Little is known about the life-history traits exhibited by burbot (Lota lota) throughout their circumpolar range.  Monitoring PIT-tagged burbot between lentic and lotic habits and collection of demographic data (length, age, sex, and maturity) were used to answer the following questions in the Torrey Creek drainage of west-central Wyoming, USA: 1) is there plasticity in the life-history traits of the burbot population, 2) do Trail Lake origin and Torrey Creek origin burbot interchange during the spawning period, and 3) is there a difference in growth and age at sexual maturity between Trial Lake and Torrey Creek?  We found plasticity in life history traits exists within a burbot population in a small drainage at the southwestern-most edge of the species native range.  Directional migration of PIT-tagged burbot in Trail Lake and Torrey Creek was monitored nearly continuously by tandem stream-width antennas. Thirty-five percent of lentic-origin burbot migrated upstream into Torrey Creek, and 11% of lotic-origin burbot migrated downstream of the antennas near the Torrey Creek inlet to Trail Lake.  Migratory activity of burbot was highest during the late winter and early spring at a time that coincided with spawning.  Additionally, Torrey Creek-origin burbot were smaller and younger than Trail Lake-origin burbot.  In addition to documenting migration, the sampling of small, sexually mature burbot in Torrey Creek suggests that stream-resident burbot reach maturity earlier than adfluvial and lacustrine burbot in Trail Lake.  Furthermore, high catch rates of age-0 burbot indicate that Torrey Creek upstream from Trail Lake provides nursery habitat to the burbot population.  Life history trait plasticity and spawning and nursery habitats documented in this study must be considered when selecting conservation actions for this unique burbot population.","language":"English","publisher":"Wiley","doi":"10.1111/jai.14243","usgsCitation":"Glaid, J., Guy, C.S., and Gerrity, P., 2021, Burbot (Lota lota) exhibit plasticity in life-history traits in a small drainage at the southwestern-most extent of the species’ native range: Journal of Applied Ichthyology, v. 37, no. 6, p. 875-884, https://doi.org/10.1111/jai.14243.","productDescription":"10 p.","startPage":"875","endPage":"884","ipdsId":"IP-117147","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":451872,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jai.14243","text":"Publisher Index Page"},{"id":395846,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Bull Lake Creek, Boysen Reservoir, Dinwoody Creek, Torrey Creek, Wind River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.35791015625,\n              43.644025847699496\n            ],\n            [\n              -109.5556640625,\n              43.75522505306928\n            ],\n            [\n              -109.8193359375,\n              43.644025847699496\n            ],\n            [\n              -109.31396484375,\n              42.73087427928485\n            ],\n            [\n              -109.13818359375,\n              42.48830197960227\n            ],\n            [\n              -108.12744140625,\n              42.24478535602799\n            ],\n            [\n              -107.8857421875,\n              42.48830197960227\n            ],\n            [\n              -107.07275390625,\n              42.342305278572816\n            ],\n            [\n              -106.23779296875,\n              42.114523952464246\n            ],\n            [\n              -105.97412109375,\n              42.049292638686836\n            ],\n            [\n              -105.71044921875,\n              42.16340342422401\n            ],\n            [\n              -105.75439453125,\n              42.4234565179383\n            ],\n            [\n              -106.01806640624999,\n              42.66628070564928\n            ],\n            [\n              -106.63330078125,\n              43.08493742707592\n            ],\n            [\n              -108.08349609375,\n              43.51668853502906\n            ],\n            [\n              -109.35791015625,\n              43.644025847699496\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"37","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-07-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Glaid, Jeff","contributorId":275976,"corporation":false,"usgs":false,"family":"Glaid","given":"Jeff","email":"","affiliations":[{"id":54471,"text":"wyfg","active":true,"usgs":false}],"preferred":false,"id":834451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":834450,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gerrity, Paul C.","contributorId":275977,"corporation":false,"usgs":false,"family":"Gerrity","given":"Paul C.","affiliations":[{"id":54471,"text":"wyfg","active":true,"usgs":false}],"preferred":false,"id":834452,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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