{"pageNumber":"572","pageRowStart":"14275","pageSize":"25","recordCount":165309,"records":[{"id":70213333,"text":"70213333 - 2020 - Postfire growth of seeded and planted big sagebrush - Strategic designs for restoring Greater Sage-grouse nesting habitat","interactions":[],"lastModifiedDate":"2020-11-30T16:08:28.123815","indexId":"70213333","displayToPublicDate":"2020-08-09T09:47:40","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Postfire growth of seeded and planted big sagebrush - Strategic designs for restoring Greater Sage-grouse nesting habitat","docAbstract":"<p><span>Wildfires change plant community structure and impact wildlife habitat and population dynamics. Recent wildfire‐induced losses of big sagebrush (</span><i>Artemisia tridentata</i><span>) in North American shrublands are outpacing natural recovery and leading to substantial losses in habitat for sagebrush‐obligate species such as Greater Sage‐grouse. Managers are considering restoration strategies that include planting container‐grown sagebrush to improve establishment within areas using more conventional seeding methods. Although it is thought that planting sagebrush provides initial structural advantages over seeding, empirical comparisons of sagebrush growth are lacking between individuals established post‐fire using both methods. Using a Bayesian hierarchical approach, we evaluated sagebrush height and canopy area growth rates for plants established in 26 seeded and 20 planted locations within the Great Basin. We then related recovery rates to previously published nesting habitat requirements for sage‐grouse. Under average weather conditions, planted or seeded sagebrush will require 3 or 4 years, respectively, and a relatively high density (≥ 2 plants/m</span><sup>2</sup><span>) to achieve the minimum recommended canopy cover for sage‐grouse (15 %). Sagebrush grown in warmer and drier conditions met this cover goal months earlier. Although planted sagebrush reached heights to meet sage‐grouse nesting requirements (30 cm) one year earlier than seeded plants, seeded individuals were ~19 cm taller with 410 cm</span><sup>2</sup><span>&nbsp;more canopy area than planted sagebrush after 8 years. However, big sagebrush establishment from seed is unreliable. Strategically planting small, high density patches of container‐grown sagebrush in historic sage‐grouse nesting habitat combined with lower density seedings in larger surrounding areas may accelerate sage‐grouse habitat restoration.</span></p>","language":"English","publisher":"Society for Ecological Restoration","doi":"10.1111/rec.13264","usgsCitation":"Pyke, D.A., Shriver, R.K., Arkle, R.S., Pilliod, D., Aldridge, C., Coates, P.S., Germino, M., Heinrichs, J., Ricca, M.A., and Shaff, S.E., 2020, Postfire growth of seeded and planted big sagebrush - Strategic designs for restoring Greater Sage-grouse nesting habitat: Restoration Ecology, v. 28, no. 6, p. 1495-1504, https://doi.org/10.1111/rec.13264.","productDescription":"10 p.","startPage":"1495","endPage":"1504","ipdsId":"IP-114824","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":568,"text":"Southwest Biological Science 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mark_ricca@usgs.gov","orcid":"https://orcid.org/0000-0003-1576-513X","contributorId":139103,"corporation":false,"usgs":true,"family":"Ricca","given":"Mark","email":"mark_ricca@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":799054,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shaff, Scott E. 0000-0001-8978-9260","orcid":"https://orcid.org/0000-0001-8978-9260","contributorId":219813,"corporation":false,"usgs":true,"family":"Shaff","given":"Scott","middleInitial":"E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":799055,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70262068,"text":"70262068 - 2020 - Using genetic data to estimate capture rate of Wisconsin and Leech Lake strains of Muskellunge stocked in four Wisconsin Lakes","interactions":[],"lastModifiedDate":"2025-01-10T15:54:17.693481","indexId":"70262068","displayToPublicDate":"2020-08-09T09:28:47","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Using genetic data to estimate capture rate of Wisconsin and Leech Lake strains of Muskellunge stocked in four Wisconsin Lakes","docAbstract":"Many inland fisheries are supported by stocking of hatchery-produced fish, and fisheries managers often face difficult decisions regarding strain selection. Stocking evaluations designed to quantify differences in strain performance provide valuable data for designing stocking programs. Here, we use genetic tools to investigate capture rate of two strains of Muskellunge stocked in Wisconsin lakes. We genotyped a total of 1,011 Muskellunge at 13 microsatellites and used data from five reference populations to assign fish stocked in four Wisconsin lakes to their strain of origin. The strains stocked in these lakes were derived from Wisconsin populations in the Upper Chippewa and Wisconsin River drainages and from Leech Lake, Minnesota. Leech Lake Muskellunge demonstrated much lower capture rates than the Wisconsin strain, but results were variable, with a 10% capture rate of Leech Lake strain fish in Lake Monona and 2% capture rate in Lake Wissota despite similar stocking rates (~25%) in both lakes. We hypothesize that the higher capture rates of Wisconsin strain Muskellunge could be due adaptative advantages of the Wisconsin strain in these waters and suggest that managers continue to stock the nearest native (i.e. Wisconsin) strain to achieve the highest return on investment.    \nKeywords: Muskellunge, propagation, Wisconsin, Leech Lake, stocking evaluation, microsatellite, population genetics ms accepted","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10502","usgsCitation":"Larson, W., Hill, T., Rowe, D., Oele, D., Gerbyshak, J., and Bergman, J., 2020, Using genetic data to estimate capture rate of Wisconsin and Leech Lake strains of Muskellunge stocked in four Wisconsin Lakes: North American Journal of Fisheries Management, v. 40, no. 5, p. 1302-1312, https://doi.org/10.1002/nafm.10502.","productDescription":"11 p.","startPage":"1302","endPage":"1312","ipdsId":"IP-118754","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467281,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/nafm.10502","text":"External Repository"},{"id":465987,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Big Arbor Vitae Lake, Castle Rock Lake, Lac Courte Orellies Lake, Lake Monona, Leech Lake, Lost Lake, Petenwell Lake, Tomahawk Lake, Wissota Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -95.04318760690667,\n              47.61134580027584\n            ],\n            [\n              -95.04318760690667,\n              42.35512171495688\n            ],\n            [\n              -86.12473252749754,\n              42.35512171495688\n            ],\n            [\n              -86.12473252749754,\n              47.61134580027584\n            ],\n            [\n              -95.04318760690667,\n              47.61134580027584\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"40","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-08-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Larson, Wesley 0000-0003-4473-3401 wlarson@usgs.gov","orcid":"https://orcid.org/0000-0003-4473-3401","contributorId":199509,"corporation":false,"usgs":true,"family":"Larson","given":"Wesley","email":"wlarson@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":922945,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Thompson","contributorId":348110,"corporation":false,"usgs":false,"family":"Hill","given":"Thompson","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":922946,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rowe, David","contributorId":348111,"corporation":false,"usgs":false,"family":"Rowe","given":"David","affiliations":[{"id":16117,"text":"Wisconsin DNR","active":true,"usgs":false}],"preferred":false,"id":922947,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oele, Daniel","contributorId":348112,"corporation":false,"usgs":false,"family":"Oele","given":"Daniel","affiliations":[{"id":16117,"text":"Wisconsin DNR","active":true,"usgs":false}],"preferred":false,"id":922948,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gerbyshak, Joseph","contributorId":348113,"corporation":false,"usgs":false,"family":"Gerbyshak","given":"Joseph","affiliations":[{"id":16117,"text":"Wisconsin DNR","active":true,"usgs":false}],"preferred":false,"id":922949,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bergman, Jennifer","contributorId":348114,"corporation":false,"usgs":false,"family":"Bergman","given":"Jennifer","affiliations":[{"id":16117,"text":"Wisconsin DNR","active":true,"usgs":false}],"preferred":false,"id":922950,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70216776,"text":"70216776 - 2020 - Integrating airborne remote sensing and field campaigns for ecology and Earth system science","interactions":[],"lastModifiedDate":"2020-12-07T16:36:45.211204","indexId":"70216776","displayToPublicDate":"2020-08-08T10:08:31","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Integrating airborne remote sensing and field campaigns for ecology and Earth system science","docAbstract":"<ol class=\"\"><li>In recent years, the availability of airborne imaging spectroscopy (hyperspectral) data has expanded dramatically. The high spatial and spectral resolution of these data uniquely enable spatially explicit ecological studies including species mapping, assessment of drought mortality and foliar trait distributions. However, we have barely begun to unlock the potential of these data to use direct mapping of vegetation characteristics to infer subsurface properties of the critical zone. To assess their utility for Earth systems research, imaging spectroscopy data acquisitions require integration with large, coincident ground‐based datasets collected by experts in ecology and environmental and Earth science. Without coordinated, well‐planned field campaigns, potential knowledge leveraged from advanced airborne data collections could be lost. Despite the growing importance of this field, documented methods to couple such a wide variety of disciplines remain sparse.</li><li>We coordinated the first National Ecological Observatory Network Airborne Observation Platform (AOP) survey performed outside of their core sites, which took place in the Upper East River watershed, Colorado. Extensive planning for sample tracking and organization allowed field and flight teams to update the ground‐based sampling strategy daily. This enabled collection of an extensive set of physical samples to support a wide range of ecological, microbiological, biogeochemical and hydrological studies.</li><li>We present a framework for integrating airborne and field campaigns to obtain high‐quality data for foliar trait prediction and document an archive of coincident physical samples collected to support a systems approach to ecological research in the critical zone. This detailed methodological account provides an example of how a multi‐disciplinary and multi‐institutional team can coordinate to maximize knowledge gained from an airborne survey, an approach that could be extended to other studies.</li><li>The coordination of imaging spectroscopy surveys with appropriately timed and extensive field surveys, along with high‐quality processing of these data, presents a unique opportunity to reveal new insights into the structure and dynamics of the critical zone. To our knowledge, this level of co‐aligned sampling has never been undertaken in tandem with AOP surveys and subsequent studies utilizing this archive will shed considerable light on the breadth of applications for which imaging spectroscopy data can be leveraged.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/2041-210X.13463","usgsCitation":"Chadwick, K.D., Brodrick, P.G., Grant, K., Goulden, T., Henderson, A., Falco, N., Wainwright, H., Williams, K., Bill, M., Breckheimer, I., Brodie, E., Steltzer, H., Williams, C.F., Blonder, B., Chen, J., Dafflon, B., Damerow, J., Hancher, M., Khurram, A., Lamb, J., Lawrence, C.R., McCormick, M., Musinsky, J., Pierce, S., Polussa, A., Hastings Porro, M., Scott, A., Wu Singh, H., Sorensen, P., Varadharajan, C., Whitney, B., and Maher, K., 2020, Integrating airborne remote sensing and field campaigns for ecology and Earth system science: Methods in Ecology and Evolution, v. 11, no. 11, p. 1492-1508, https://doi.org/10.1111/2041-210X.13463.","productDescription":"17 p.","startPage":"1492","endPage":"1508","ipdsId":"IP-118938","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":455710,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.13463","text":"Publisher Index Page"},{"id":381039,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Upper East River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -107.01129913330078,\n              38.68443777679761\n            ],\n            [\n              -106.80255889892578,\n              38.68443777679761\n            ],\n            [\n              -106.80255889892578,\n              38.89717867392901\n            ],\n            [\n              -107.01129913330078,\n              38.89717867392901\n            ],\n            [\n              -107.01129913330078,\n              38.68443777679761\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"11","noUsgsAuthors":false,"publicationDate":"2020-09-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Chadwick, K. Dana","contributorId":245426,"corporation":false,"usgs":false,"family":"Chadwick","given":"K.","email":"","middleInitial":"Dana","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":806184,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brodrick, Philip G.","contributorId":245427,"corporation":false,"usgs":false,"family":"Brodrick","given":"Philip","email":"","middleInitial":"G.","affiliations":[{"id":27365,"text":"NASA Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":806185,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grant, Kathleen","contributorId":245428,"corporation":false,"usgs":false,"family":"Grant","given":"Kathleen","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":806186,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goulden, Tristan","contributorId":245429,"corporation":false,"usgs":false,"family":"Goulden","given":"Tristan","email":"","affiliations":[{"id":49194,"text":"National Ecological Observation Network","active":true,"usgs":false}],"preferred":false,"id":806187,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Henderson, Amanda","contributorId":245430,"corporation":false,"usgs":false,"family":"Henderson","given":"Amanda","affiliations":[{"id":49195,"text":"Rocky Mountain Biological Laboratory","active":true,"usgs":false}],"preferred":false,"id":806188,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Falco, Nicola","contributorId":245431,"corporation":false,"usgs":false,"family":"Falco","given":"Nicola","email":"","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":806189,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wainwright, Haruko","contributorId":245432,"corporation":false,"usgs":false,"family":"Wainwright","given":"Haruko","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":806190,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Williams, Kenneth","contributorId":245433,"corporation":false,"usgs":false,"family":"Williams","given":"Kenneth","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":806191,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bill, Markus","contributorId":245434,"corporation":false,"usgs":false,"family":"Bill","given":"Markus","email":"","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":806192,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Breckheimer, Ian","contributorId":245435,"corporation":false,"usgs":false,"family":"Breckheimer","given":"Ian","affiliations":[{"id":49195,"text":"Rocky Mountain Biological Laboratory","active":true,"usgs":false}],"preferred":false,"id":806193,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Brodie, Eoin","contributorId":245436,"corporation":false,"usgs":false,"family":"Brodie","given":"Eoin","email":"","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":806194,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Steltzer, Heidi","contributorId":245437,"corporation":false,"usgs":false,"family":"Steltzer","given":"Heidi","affiliations":[{"id":49196,"text":"Fort Lewis College","active":true,"usgs":false}],"preferred":false,"id":806195,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Williams, C. 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University","active":true,"usgs":false}],"preferred":false,"id":806210,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Wu Singh, Hans","contributorId":245452,"corporation":false,"usgs":false,"family":"Wu Singh","given":"Hans","email":"","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":806211,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Sorensen, Patrick O.","contributorId":245453,"corporation":false,"usgs":false,"family":"Sorensen","given":"Patrick O.","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":806212,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Varadharajan, Charuleka","contributorId":245454,"corporation":false,"usgs":false,"family":"Varadharajan","given":"Charuleka","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":806213,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Whitney, Bizuayehu","contributorId":245455,"corporation":false,"usgs":false,"family":"Whitney","given":"Bizuayehu","email":"","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":806214,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Maher, Katharine","contributorId":245456,"corporation":false,"usgs":false,"family":"Maher","given":"Katharine","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":806215,"contributorType":{"id":1,"text":"Authors"},"rank":32}]}}
,{"id":70219475,"text":"70219475 - 2020 - Small mammals and ungulates respond to and interact with revegetation processes following dam removal","interactions":[],"lastModifiedDate":"2021-04-12T11:54:08.45967","indexId":"70219475","displayToPublicDate":"2020-08-08T07:12:20","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5453,"text":"Food Webs","active":true,"publicationSubtype":{"id":10}},"title":"Small mammals and ungulates respond to and interact with revegetation processes following dam removal","docAbstract":"<p><span>Terrestrial wildlife communities are often overlooked as components of ecosystem restoration following dam removal. However, a diverse mammalian fauna colonizes habitat on dewatered reservoirs and may influence restoration processes. We studied mammalian colonization and ungulate herbivory from 2014 to 2018 following the removal of two large dams on the Elwha River in Washington, USA. Specifically, we examined (1) small mammal colonization and (2) Roosevelt elk (</span><i>Cervus elaphus roosevelti</i><span>) and Columbian black-tailed deer (</span><i>Odocoileus hemionus columbianus</i><span>) distribution and browsing pressure in association with revegetation efforts. We live-trapped small mammals on two former reservoir beds and monitored deer and elk use by conducting pellet group counts and quantifying ungulate herbivory at plots throughout the former reservoir beds and an adjacent reference site. We found that the proportion of deciduous riparian species on plots best predicted occupancy for mice, shrews, and voles. Small mammal species diversity was best explained by the proportion of logs and conifers on study plots. Roosevelt elk presence and browsing intensity on willows (</span><i>Salix</i><span>&nbsp;spp.) and black cottonwood (</span><i>Populus balsamifera</i><span>&nbsp;ssp.&nbsp;</span><i>trichocarpa</i><span>) varied both spatially and temporally, affecting the stature and potentially the growth trajectories of these species. Early seral restoration of these terrestrial habitats has included the presence of a diversity of granivores, insectivores, and herbivores, with elk demonstrating the strongest influence over portions of the study area. Small mammal colonization complements revegetation succession and demonstrates restoration of ecological processes, while large ungulates may be playing a more substantial role in shaping revegetation.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.fooweb.2020.e00159","usgsCitation":"McCaffery, R.M., Jenkins, K.J., Cendejas-Zarelli, S., Happe, P.J., and Sager-Fradkin, K., 2020, Small mammals and ungulates respond to and interact with revegetation processes following dam removal: Food Webs, v. 25, e00159, 12 p., https://doi.org/10.1016/j.fooweb.2020.e00159.","productDescription":"e00159, 12 p.","ipdsId":"IP-118501","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":455713,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.fooweb.2020.e00159","text":"Publisher Index Page"},{"id":384965,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"Washington","otherGeospatial":"Olympic National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.76074218749999,\n              47.264320080254805\n            ],\n            [\n              -122.71728515624999,\n              47.264320080254805\n            ],\n            [\n              -122.71728515624999,\n              48.494767515307295\n            ],\n            [\n              -124.76074218749999,\n              48.494767515307295\n            ],\n            [\n              -124.76074218749999,\n              47.264320080254805\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McCaffery, Rebecca M. 0000-0002-0396-0387","orcid":"https://orcid.org/0000-0002-0396-0387","contributorId":211539,"corporation":false,"usgs":true,"family":"McCaffery","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":813717,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenkins, Kurt J. 0000-0003-1415-6607 kurt_jenkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1415-6607","contributorId":3415,"corporation":false,"usgs":true,"family":"Jenkins","given":"Kurt","email":"kurt_jenkins@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":813802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cendejas-Zarelli, Sara","contributorId":257040,"corporation":false,"usgs":false,"family":"Cendejas-Zarelli","given":"Sara","email":"","affiliations":[{"id":39680,"text":"Lower Elwha Klallam Tribe","active":true,"usgs":false}],"preferred":false,"id":813803,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Happe, Patricia J.","contributorId":50983,"corporation":false,"usgs":false,"family":"Happe","given":"Patricia","email":"","middleInitial":"J.","affiliations":[{"id":16133,"text":"National Park Service, Olympic National Park","active":true,"usgs":false}],"preferred":false,"id":813804,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sager-Fradkin, K.A.","contributorId":94515,"corporation":false,"usgs":true,"family":"Sager-Fradkin","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":813805,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70217804,"text":"70217804 - 2020 - Sources, fate, and flux of riverine solutes in the Southwest Yellowstone Plateau Volcanic Field, USA","interactions":[],"lastModifiedDate":"2021-02-03T12:45:44.489077","indexId":"70217804","displayToPublicDate":"2020-08-08T06:40:11","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Sources, fate, and flux of riverine solutes in the Southwest Yellowstone Plateau Volcanic Field, USA","docAbstract":"<p><span>Since the 1970s, temporal variations of hydrothermal discharge and thermal output from the numerous hydrothermal features in the Yellowstone Plateau Volcanic Field (YPVF) have been studied by measuring the chloride flux in the major rivers. In this study, the sources, fate, and flux of solutes in the Fall River and its major tributaries, in southwest Yellowstone National Park, were determined. The considerable precipitation in southwest YPVF and high groundwater flow through Quaternary rhyolites results in river solute fluxes that originate from shallow non-thermal groundwater and deep-thermal water. Specific conductance serves as a surrogate measure for thirteen riverine solute concentrations. Combining continuous 15-minute specific conductance and discharge data, the annual chloride, arsenic, fluoride, and silica fluxes from the Fall River were determined to be 11%, 5%, 25%, and 19% of the total flux exiting YPVF. Approximately 11% of the Fall River chloride flux is from non-thermal waters, which is larger than the previous estimate of 4 to 6%. Furthermore, a large proportion of fluoride and silica in the Fall River are derived from water-rock interaction in the shallow non-thermal groundwater system and the non-thermal weathering rate (30&nbsp;±&nbsp;2&nbsp;t/yr·km</span><sup>2</sup><span>) is higher than other rivers draining the Yellowstone caldera. Consequently, 73&nbsp;±&nbsp;3% of the annual total dissolved solid flux in the Fall River is from thermal sources. Synoptic sampling of river water and discharge measurements was performed during low-flow conditions that allowed for the determination of solute sources and their downstream fate. It was determined that chloride, sodium, arsenic, rubidium, lithium, and boron are primarily (&gt;89%) associated with thermal waters and the Bechler River is the primary source of most hydrothermal solutes in the Fall River, but the major source of arsenic is Boundary Creek. Using the chloride inventory method, the thermal water discharge from several thermal areas was also determined.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2020.107021","usgsCitation":"McCleskey, R., Hurwitz, S., White, E.B., Roth, D.A., Susong, D., Hungerford, J., and Olson, L.A., 2020, Sources, fate, and flux of riverine solutes in the Southwest Yellowstone Plateau Volcanic Field, USA: Journal of Volcanology and Geothermal Research, v. 403, 107021, 15 p., https://doi.org/10.1016/j.jvolgeores.2020.107021.","productDescription":"107021, 15 p.","ipdsId":"IP-118755","costCenters":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"links":[{"id":382915,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.03881835937499,\n              43.476840397778936\n            ],\n            [\n              -108.929443359375,\n              43.476840397778936\n            ],\n            [\n              -108.929443359375,\n              45.01141864227728\n            ],\n            [\n              -111.03881835937499,\n              45.01141864227728\n            ],\n            [\n              -111.03881835937499,\n              43.476840397778936\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"403","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McCleskey, R. Blaine 0000-0002-2521-8052","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":205663,"corporation":false,"usgs":true,"family":"McCleskey","given":"R. Blaine","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":809801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hurwitz, Shaul 0000-0001-5142-6886 shaulh@usgs.gov","orcid":"https://orcid.org/0000-0001-5142-6886","contributorId":2169,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Shaul","email":"shaulh@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":809802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"White, Erin B 0000-0003-2066-670X","orcid":"https://orcid.org/0000-0003-2066-670X","contributorId":224483,"corporation":false,"usgs":false,"family":"White","given":"Erin","email":"","middleInitial":"B","affiliations":[{"id":40891,"text":"National Park Service: Yellowstone, WY, US","active":true,"usgs":false}],"preferred":false,"id":809805,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roth, David A. 0000-0002-7515-3533 daroth@usgs.gov","orcid":"https://orcid.org/0000-0002-7515-3533","contributorId":2340,"corporation":false,"usgs":true,"family":"Roth","given":"David","email":"daroth@usgs.gov","middleInitial":"A.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":809803,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Susong, David 0000-0003-0415-5221","orcid":"https://orcid.org/0000-0003-0415-5221","contributorId":229551,"corporation":false,"usgs":false,"family":"Susong","given":"David","affiliations":[{"id":41666,"text":"USGS Utah Water Science Center (emeritus)","active":true,"usgs":false}],"preferred":false,"id":809804,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hungerford, Jefferson","contributorId":243584,"corporation":false,"usgs":false,"family":"Hungerford","given":"Jefferson","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":809806,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Olson, Lonnie A.","contributorId":248775,"corporation":false,"usgs":false,"family":"Olson","given":"Lonnie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":809814,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70211946,"text":"70211946 - 2020 - Genesis and spread of multiple reassortants during the 2016/2017 H5 avian influenza epidemic in Eurasia","interactions":[],"lastModifiedDate":"2020-08-26T19:38:38.445595","indexId":"70211946","displayToPublicDate":"2020-08-07T14:55:17","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"title":"Genesis and spread of multiple reassortants during the 2016/2017 H5 avian influenza epidemic in Eurasia","docAbstract":"<p><span>Highly pathogenic avian influenza (HPAI) viruses of the H5 A/goose/Guangdong/1/96 lineage can cause severe disease in poultry and wild birds, and occasionally in humans. In recent years, H5 HPAI viruses of this lineage infecting poultry in Asia have spilled over into wild birds and spread via bird migration to countries in Europe, Africa, and North America. In 2016/2017, this spillover resulted in the largest HPAI epidemic on record in Europe and was associated with an unusually high frequency of reassortments between H5 HPAI viruses and cocirculating low-pathogenic avian influenza viruses. Here, we show that the seven main H5 reassortant viruses had various combinations of gene segments 1, 2, 3, 5, and 6. Using detailed time-resolved phylogenetic analysis, most of these gene segments likely originated from wild birds and at dates and locations that corresponded to their hosts’ migratory cycles. However, some gene segments in two reassortant viruses likely originated from domestic anseriforms, either in spring 2016 in east China or in autumn 2016 in central Europe. Our results demonstrate that, in addition to domestic anseriforms in Asia, both migratory wild birds and domestic anseriforms in Europe are relevant sources of gene segments for recent reassortant H5 HPAI viruses. The ease with which these H5 HPAI viruses reassort, in combination with repeated spillovers of H5 HPAI viruses into wild birds, increases the risk of emergence of a reassortant virus that persists in wild bird populations yet remains highly pathogenic for poultry.</span></p>","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.2001813117","usgsCitation":"Lycett, S., Pohlmann, A., Staubach, C., Caliendo, V., Woolhouse, M., Beer, M., Kuiken, T., The Global Consortium for H5N8 and Related Influenza Viruses, van Borm, S., Breed, A., Briand, F., Brown, I., Dan, A., DeLiberto, T.J., von Dobschuetz, S., Fouchier, R.A., Gilbert, M., Hill, S., Hjulsager, C.K., Ip, S., Koopmans, M., Larsen, L.E., Lee, D., Naguib, M.M., Monne, I., Pybus, O., Ramey, A.M., Savic, V., Sharshov, K., Shestopalov, A., Song, C., Steensels, M., Swayne, D., Swieton, E., Wan, X., and Zohari, S., 2020, Genesis and spread of multiple reassortants during the 2016/2017 H5 avian influenza epidemic in Eurasia: PNAS, v. 117, no. 34, p. 20814-20825, https://doi.org/10.1073/pnas.2001813117.","startPage":"20814","endPage":"20825","ipdsId":"IP-113696","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":455719,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.2001813117","text":"Publisher Index Page"},{"id":377496,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Eurasia","volume":"117","issue":"34","noUsgsAuthors":false,"publicationDate":"2020-08-07","publicationStatus":"PW","contributors":{"editors":[{"text":"Palese, Peter","contributorId":238226,"corporation":false,"usgs":false,"family":"Palese","given":"Peter","email":"","affiliations":[],"preferred":false,"id":796221,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Lycett, Samantha","contributorId":238042,"corporation":false,"usgs":false,"family":"Lycett","given":"Samantha","email":"","affiliations":[],"preferred":false,"id":795917,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pohlmann, Anne","contributorId":238043,"corporation":false,"usgs":false,"family":"Pohlmann","given":"Anne","email":"","affiliations":[],"preferred":false,"id":795918,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Staubach, Christoph","contributorId":238044,"corporation":false,"usgs":false,"family":"Staubach","given":"Christoph","email":"","affiliations":[],"preferred":false,"id":795919,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caliendo, Valentina","contributorId":238045,"corporation":false,"usgs":false,"family":"Caliendo","given":"Valentina","email":"","affiliations":[],"preferred":false,"id":795920,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Woolhouse, Mark","contributorId":238046,"corporation":false,"usgs":false,"family":"Woolhouse","given":"Mark","email":"","affiliations":[],"preferred":false,"id":795921,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beer, Martin","contributorId":238047,"corporation":false,"usgs":false,"family":"Beer","given":"Martin","email":"","affiliations":[],"preferred":false,"id":795922,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kuiken, Thijs","contributorId":238048,"corporation":false,"usgs":false,"family":"Kuiken","given":"Thijs","email":"","affiliations":[],"preferred":false,"id":795923,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"The Global Consortium for H5N8 and Related Influenza Viruses","contributorId":189240,"corporation":true,"usgs":false,"organization":"The Global Consortium for H5N8 and Related Influenza Viruses","id":795924,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"van Borm, Steven","contributorId":238206,"corporation":false,"usgs":false,"family":"van Borm","given":"Steven","email":"","affiliations":[],"preferred":false,"id":796193,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Breed, Andrew","contributorId":238207,"corporation":false,"usgs":false,"family":"Breed","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":796194,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Briand, Francois-Xavier","contributorId":171961,"corporation":false,"usgs":false,"family":"Briand","given":"Francois-Xavier","email":"","affiliations":[],"preferred":false,"id":796195,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Brown, Ian","contributorId":103571,"corporation":false,"usgs":true,"family":"Brown","given":"Ian","email":"","affiliations":[],"preferred":false,"id":796196,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Dan, Adam","contributorId":238208,"corporation":false,"usgs":false,"family":"Dan","given":"Adam","affiliations":[],"preferred":false,"id":796197,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"DeLiberto, Thomas J.","contributorId":145606,"corporation":false,"usgs":false,"family":"DeLiberto","given":"Thomas","email":"","middleInitial":"J.","affiliations":[{"id":16167,"text":"7United States Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, National Wildlife Disease Program, 4101 LaPorte Ave., Fort Collins, CO, United States of America.","active":true,"usgs":false}],"preferred":false,"id":796198,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"von Dobschuetz, Sophie","contributorId":238209,"corporation":false,"usgs":false,"family":"von Dobschuetz","given":"Sophie","email":"","affiliations":[],"preferred":false,"id":796199,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Fouchier, Ron A. M.","contributorId":171977,"corporation":false,"usgs":false,"family":"Fouchier","given":"Ron","email":"","middleInitial":"A. M.","affiliations":[],"preferred":false,"id":796200,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Gilbert, Marius","contributorId":61148,"corporation":false,"usgs":true,"family":"Gilbert","given":"Marius","email":"","affiliations":[],"preferred":false,"id":796201,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Hill, Sarah","contributorId":238210,"corporation":false,"usgs":false,"family":"Hill","given":"Sarah","email":"","affiliations":[],"preferred":false,"id":796202,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Hjulsager, Charlotte Kristiane","contributorId":238211,"corporation":false,"usgs":false,"family":"Hjulsager","given":"Charlotte","email":"","middleInitial":"Kristiane","affiliations":[],"preferred":false,"id":796203,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Ip, S. 0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":796204,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Koopmans, Marion","contributorId":238215,"corporation":false,"usgs":false,"family":"Koopmans","given":"Marion","email":"","affiliations":[],"preferred":false,"id":796205,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Larsen, Lars Erik","contributorId":238216,"corporation":false,"usgs":false,"family":"Larsen","given":"Lars","email":"","middleInitial":"Erik","affiliations":[],"preferred":false,"id":796206,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Lee, Dong-Hun","contributorId":140813,"corporation":false,"usgs":false,"family":"Lee","given":"Dong-Hun","email":"","affiliations":[{"id":13585,"text":"Poultry Research Laboratory, Agricultural Research Service, U.S. Department of Agriculture, Athens, Georgia, USA","active":true,"usgs":false}],"preferred":false,"id":796207,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Naguib, Mahmoud Mohamed","contributorId":238217,"corporation":false,"usgs":false,"family":"Naguib","given":"Mahmoud","email":"","middleInitial":"Mohamed","affiliations":[],"preferred":false,"id":796208,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Monne, I.","contributorId":46201,"corporation":false,"usgs":true,"family":"Monne","given":"I.","email":"","affiliations":[],"preferred":false,"id":796209,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Pybus, Oliver","contributorId":238218,"corporation":false,"usgs":false,"family":"Pybus","given":"Oliver","email":"","affiliations":[],"preferred":false,"id":796210,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":796211,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Savic, Vladmir","contributorId":238219,"corporation":false,"usgs":false,"family":"Savic","given":"Vladmir","email":"","affiliations":[],"preferred":false,"id":796212,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Sharshov, Kirill","contributorId":238220,"corporation":false,"usgs":false,"family":"Sharshov","given":"Kirill","email":"","affiliations":[],"preferred":false,"id":796213,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Shestopalov, Alexander","contributorId":238221,"corporation":false,"usgs":false,"family":"Shestopalov","given":"Alexander","email":"","affiliations":[],"preferred":false,"id":796214,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Song, Chang-Seon","contributorId":140815,"corporation":false,"usgs":false,"family":"Song","given":"Chang-Seon","email":"","affiliations":[],"preferred":false,"id":796215,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Steensels, Mieke","contributorId":238222,"corporation":false,"usgs":false,"family":"Steensels","given":"Mieke","email":"","affiliations":[],"preferred":false,"id":796216,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Swayne, David","contributorId":238223,"corporation":false,"usgs":false,"family":"Swayne","given":"David","affiliations":[],"preferred":false,"id":796217,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Swieton, Edyta","contributorId":238224,"corporation":false,"usgs":false,"family":"Swieton","given":"Edyta","email":"","affiliations":[],"preferred":false,"id":796218,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Wan, Xiu-Feng","contributorId":173959,"corporation":false,"usgs":false,"family":"Wan","given":"Xiu-Feng","email":"","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":796219,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Zohari, Siamak","contributorId":238225,"corporation":false,"usgs":false,"family":"Zohari","given":"Siamak","email":"","affiliations":[],"preferred":false,"id":796220,"contributorType":{"id":1,"text":"Authors"},"rank":36}]}}
,{"id":70212486,"text":"70212486 - 2020 - Ancient Martian aeolian sand dune deposits recorded in the stratigraphy of Valles Marineris and implications for past climates","interactions":[],"lastModifiedDate":"2020-09-10T20:32:48.494124","indexId":"70212486","displayToPublicDate":"2020-08-07T10:37:55","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5718,"text":"Journal of Geophysical Research: Planets","onlineIssn":"2169-9100","active":true,"publicationSubtype":{"id":10}},"title":"Ancient Martian aeolian sand dune deposits recorded in the stratigraphy of Valles Marineris and implications for past climates","docAbstract":"<p><span>Aeolian sediment transport, deposition, and erosion have been ongoing throughout Mars's history. This record of widespread aeolian processes is preserved in landforms and geologic units that retain important clues about past environmental conditions including wind patterns. In this study we describe landforms within Melas Chasma, Valles Marineris, that occur in distinct groups with linear to crescentic shapes, arranged with a characteristic wavelength; some possess slope profiles analogous to modern sand dunes yet show evidence for lithification. Based on the features' dimensions, asymmetry, and spatial patterns relative to modern equivalents, we interpret these landforms to be two classes of aeolian bedforms: decameter‐scale megaripples and sand dunes. The presence of superposed erosional features and depositional units indicates that these landforms were cemented and likely ancient. Melas paleodunes are found atop Hesperian‐aged layered deposits, but we estimate them to be younger, likely lithified in the Amazonian period. Although a range of degradation was observed, some paleodunes are &gt;10&nbsp;m tall and maintain steep lee sides (&gt;25°), an uncommon scenario for terrestrial examples as other geologic processes lead to dune obliteration. The preserved paleobedform geometries are largely consistent with those of modern aeolian indicators, suggesting no major shifts in wind regime or contributing boundary conditions. Finally, we propose that their appearance and context require sequential periods of dune migration, stabilization following catastrophic burial, cementation, differential erosion, exposure, and burial. The presence of wholly preserved duneforms appears to be more common on Mars compared to the Earth and may signal something important about Martian landscape evolution.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020JE006510","usgsCitation":"Chojnacki, M., Fenton, L.K., Weintraub, A., Edgar, L.A., Jodhpurkar, M.J., and Edwards, C., 2020, Ancient Martian aeolian sand dune deposits recorded in the stratigraphy of Valles Marineris and implications for past climates: Journal of Geophysical Research: Planets, v. 125, no. 9, e2020JE006510, 24 p., https://doi.org/10.1029/2020JE006510.","productDescription":"e2020JE006510, 24 p.","ipdsId":"IP-118939","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":488358,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10150/657782","text":"External Repository"},{"id":377577,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars, Valles Marineris","volume":"125","issue":"9","noUsgsAuthors":false,"publicationDate":"2020-08-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Chojnacki, Matthew","contributorId":201621,"corporation":false,"usgs":false,"family":"Chojnacki","given":"Matthew","affiliations":[{"id":27205,"text":"U. Arizona","active":true,"usgs":false}],"preferred":false,"id":796518,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fenton, Lori K.","contributorId":208682,"corporation":false,"usgs":false,"family":"Fenton","given":"Lori","email":"","middleInitial":"K.","affiliations":[{"id":37319,"text":"SETI Institute","active":true,"usgs":false}],"preferred":false,"id":796519,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weintraub, Aaron R","contributorId":238778,"corporation":false,"usgs":false,"family":"Weintraub","given":"Aaron R","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":796520,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edgar, Lauren A. 0000-0001-7512-7813 ledgar@usgs.gov","orcid":"https://orcid.org/0000-0001-7512-7813","contributorId":167501,"corporation":false,"usgs":true,"family":"Edgar","given":"Lauren","email":"ledgar@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":796522,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jodhpurkar, Mohini Jeetendra 0000-0002-5125-6650","orcid":"https://orcid.org/0000-0002-5125-6650","contributorId":238779,"corporation":false,"usgs":true,"family":"Jodhpurkar","given":"Mohini","email":"","middleInitial":"Jeetendra","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":796521,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Edwards, Christopher S.","contributorId":206168,"corporation":false,"usgs":false,"family":"Edwards","given":"Christopher S.","affiliations":[{"id":7202,"text":"NAU","active":true,"usgs":false}],"preferred":false,"id":796523,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70212497,"text":"70212497 - 2020 - Ecosystem services of riparian restoration: A review of rock detention structures in the Madrean Archipelago Ecoregion","interactions":[],"lastModifiedDate":"2020-08-18T14:46:14.015324","indexId":"70212497","displayToPublicDate":"2020-08-07T09:40:10","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":686,"text":"Air, Soil and Water Research","active":true,"publicationSubtype":{"id":10}},"title":"Ecosystem services of riparian restoration: A review of rock detention structures in the Madrean Archipelago Ecoregion","docAbstract":"In northwestern Mexico and the southwestern United States, limited water supplies and fragile landscapes jeopardize world-renowned biological diversity. Simple rock detention structures have been used to manage agricultural water for over a thousand years and are now being installed to restore ecohydrological functionality but with little scientific evidence of their success. The impacts, design, and construction of such structures has been debated among local restoration practitioners, management, and permitting agencies. This article presents archeological documentation, local contentions, and examples of available research assessments of rock detention structures in the Madrean Archipelago Ecoregion. A US Geological Survey study to quantify impacts of rock detention structures using remote-sensing analyses, hydrologic monitoring, vegetation surveys, and watershed modeling is discussed, and results rendered in terms of the critical restoration ecosystem services provided. This framework provides a means for comparing management actions that might directly or indirectly impact human populations and assessing tradeoffs between them.","language":"English","publisher":"Sage Journals","doi":"10.1177/1178622120946337","usgsCitation":"Norman, L., 2020, Ecosystem services of riparian restoration: A review of rock detention structures in the Madrean Archipelago Ecoregion: Air, Soil and Water Research, v. 13, 13 p., https://doi.org/10.1177/1178622120946337.","productDescription":"13 p.","ipdsId":"IP-114137","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":455722,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1177/1178622120946337","text":"Publisher Index Page"},{"id":377603,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Arizona, Chihuahua, New Mexico, Sonora","otherGeospatial":"Madrean Archipelago Ecoregion","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.610107421875,\n              29.372601506681402\n            ],\n            [\n              -108.00659179687499,\n              29.372601506681402\n            ],\n            [\n              -108.00659179687499,\n              33.486435450999885\n            ],\n            [\n              -111.610107421875,\n              33.486435450999885\n            ],\n            [\n              -111.610107421875,\n              29.372601506681402\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"13","noUsgsAuthors":false,"publicationDate":"2020-08-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Norman, Laura M. 0000-0002-3696-8406","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":203300,"corporation":false,"usgs":true,"family":"Norman","given":"Laura M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":796583,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70212590,"text":"70212590 - 2020 - Focused fluid flow along the Nootka Fault Zone and continental slope, Explorer-Juan de Fuca plate boundary","interactions":[],"lastModifiedDate":"2020-08-25T13:31:23.062953","indexId":"70212590","displayToPublicDate":"2020-08-07T08:55:59","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Focused fluid flow along the Nootka Fault Zone and continental slope, Explorer-Juan de Fuca plate boundary","docAbstract":"Geophysical and geochemical data indicate there is abundant fluid expulsion in the Nootka fault zone (NFZ) between the Juan de Fuca and Explorer plates and the Nootka continental slope. Here we combine observations from > 20 years of investigations to\ndemonstrate the nature of fluid-flow along the NFZ, which is the seismically most active region off Vancouver Island. Seismicity reaching down to the upper mantle is linked to near-seafloor manifestation of fluid flow through a network of faults. Along the two main fault traces, seismic reflection data imaged bright spots 100  300 m below seafloor that lie above changes inbasement topography. The bright spots are conformable to sediment layering, show opposite-toseafloor reflection polarity, and are associated with frequency-reduction and velocity push-down indicating the presence of gas in the sediments. Two seafloor mounds ~15 km seaward of the Nootka slope are underlain by deep, non-conformable high amplitude reflective zones. Measurements in the water column above one mound revealed a plume of warm water, and bottom-video observations imaged hydrothermal vent system biota. Pore fluids from a core at this mound contain predominately microbial methane (C1) with a high proportion of ethane (C2) yielding C1/C2 ratios < 500 indicating a possible slight contribution from a deep source. We infer the reflective zones beneath the two mounds are basaltic intrusions that create hydrothermal circulation within the overlying sediments. Across the Nootka continental slope, gas hydrate related bottom-simulating reflectors are widespread and occur at depths indicating heat-flow values of 80  90 mW/m2.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020GC009095","usgsCitation":"Riedel, M., Rohr, K..., Spence, G.D., Kelley, D., Delaney, J., Lapham, L., Pohlman, J., Hyndman, R., and Willoughby, E., 2020, Focused fluid flow along the Nootka Fault Zone and continental slope, Explorer-Juan de Fuca plate boundary: Geochemistry, Geophysics, Geosystems, v. 21, no. 8, e2020GC009095, 26 p., https://doi.org/10.1029/2020GC009095.","productDescription":"e2020GC009095, 26 p.","ipdsId":"IP-120436","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":455725,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2020gc009095","text":"Publisher Index Page"},{"id":377719,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -127.2216796875,\n              41.83682786072714\n            ],\n            [\n              -120.36621093749999,\n              41.83682786072714\n            ],\n            [\n              -120.36621093749999,\n              49.06666839558117\n            ],\n            [\n              -127.2216796875,\n              49.06666839558117\n            ],\n            [\n              -127.2216796875,\n              41.83682786072714\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"21","issue":"8","noUsgsAuthors":false,"publicationDate":"2020-08-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Riedel, M.","contributorId":238948,"corporation":false,"usgs":false,"family":"Riedel","given":"M.","affiliations":[{"id":47829,"text":"GEOMAR Helmholtz Centre for Ocean Research Kiel, Wischhofstr. 1 – 3, 24148 Kiel, Germany","active":true,"usgs":false}],"preferred":false,"id":796931,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rohr, K .M. M.","contributorId":238949,"corporation":false,"usgs":false,"family":"Rohr","given":"K","email":"","middleInitial":".M. M.","affiliations":[{"id":47832,"text":"Geological Survey of Canada – Pacific, 9860 West Saanich Road, Sidney BC, V8L 4B2, Canada","active":true,"usgs":false}],"preferred":false,"id":796932,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spence, G. D.","contributorId":238950,"corporation":false,"usgs":false,"family":"Spence","given":"G.","email":"","middleInitial":"D.","affiliations":[{"id":47833,"text":"School of Earth and Ocean Sciences, University of Victoria, Bob Wright Centre A405, Victoria, BC, V8W 2Y2, Canada","active":true,"usgs":false}],"preferred":false,"id":796933,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelley, D.","contributorId":238951,"corporation":false,"usgs":false,"family":"Kelley","given":"D.","affiliations":[{"id":47834,"text":". School of Oceanography, University of Washington, 1503 NE Boat Street, Seattle, WA, 98195, USA","active":true,"usgs":false}],"preferred":false,"id":796934,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Delaney, J.","contributorId":238952,"corporation":false,"usgs":false,"family":"Delaney","given":"J.","email":"","affiliations":[{"id":47835,"text":"School of Oceanography, University of Washington, 1503 NE Boat Street, Seattle, WA, 98195, USA","active":true,"usgs":false}],"preferred":false,"id":796935,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lapham, L.","contributorId":189178,"corporation":false,"usgs":false,"family":"Lapham","given":"L.","affiliations":[],"preferred":false,"id":796936,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pohlman, John 0000-0002-3563-4586","orcid":"https://orcid.org/0000-0002-3563-4586","contributorId":220804,"corporation":false,"usgs":true,"family":"Pohlman","given":"John","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":796937,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hyndman, R.D.","contributorId":238953,"corporation":false,"usgs":false,"family":"Hyndman","given":"R.D.","affiliations":[{"id":47836,"text":"Geological Survey of Canada – Pacific, 9860 West Saanich Road, Sidney BC, V8L 4B2, Canada 3. School of Earth and Ocean Sciences, University of Victoria, Bob Wright Centre A405, Victoria, BC, V8W 2Y2, Canada","active":true,"usgs":false}],"preferred":false,"id":796938,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Willoughby, E.C.","contributorId":238954,"corporation":false,"usgs":false,"family":"Willoughby","given":"E.C.","email":"","affiliations":[{"id":47836,"text":"Geological Survey of Canada – Pacific, 9860 West Saanich Road, Sidney BC, V8L 4B2, Canada 3. School of Earth and Ocean Sciences, University of Victoria, Bob Wright Centre A405, Victoria, BC, V8W 2Y2, Canada","active":true,"usgs":false}],"preferred":false,"id":796939,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70211995,"text":"70211995 - 2020 - Comparative performance and trend of remotely sensed phenology and productivity metrics across the Western United States","interactions":[],"lastModifiedDate":"2020-08-13T12:51:28.121684","indexId":"70211995","displayToPublicDate":"2020-08-07T07:46:43","publicationYear":"2020","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":"Comparative performance and trend of remotely sensed phenology and productivity metrics across the Western United States","docAbstract":"<div class=\"art-abstract in-tab hypothesis_container\"><div class=\"art-abstract in-tab hypothesis_container\">Vegetation phenology and productivity play a crucial role in surface energy balance, plant and animal distribution, and animal movement and habitat use and can be measured with remote sensing metrics including start of season (SOS), peak instantaneous rate of green-up date (PIRGd), peak of season (POS), end of season (EOS), and integrated vegetation indices. However, for most metrics, we do not yet understand the agreement of remotely sensed data products with near-surface observations. We also need summaries of changes over time, spatial distribution, variability, and consistency in remote sensing dataset metrics for vegetation timing and quality. We compare metrics from 10 leading remote sensing datasets against a network of PhenoCam near-surface cameras throughout the western United States from 2002 to 2014. Most phenology metrics representing a date (SOS, PIRGd, POS, and EOS), rather than a duration (length of spring, length of growing season), better agreed with near-surface metrics but results varied by dataset, metric, and land cover, with absolute value of mean bias ranging from 0.38 (PIRGd) to 37.92 days (EOS). Datasets had higher agreement with PhenoCam metrics in shrublands, grasslands, and deciduous forests than in evergreen forests. Phenology metrics had higher agreement than productivity metrics, aside from a few datasets in deciduous forests. Using two datasets covering the period 1982–2016 that best agreed with PhenoCam metrics, we analyzed changes over time to growing seasons. Both datasets exhibited substantial spatial heterogeneity in the direction of phenology trends. Variability of metrics increased over time in some areas, particularly in the Southwest. Approximately 60% of pixels had consistent trend direction between datasets for SOS, POS, and EOS, with the direction varying by location. In all ecoregions except Mediterranean California, EOS has become later. This study comprehensively compares remote sensing datasets across multiple growing season metrics and discusses considerations for applied users to inform their data choices.<span>&nbsp;</span></div></div><p>des indicators of vegetation timing and quality through metrics such as start of season (SOS), peak instantaneous rate of green-up date (PIRGd), peak of season (POS), end of season (EOS), and integrated vegetation indices. Few comparisons guide users in dataset selection, examine a large spatial extent, and include multiple metrics. This study compares metrics from 10 leading remote sensing datasets against a network of PhenoCam near-surface cameras throughout the Western United States from 2002-2014. Correlation (R2) and mean bias varied substantially by dataset, metric, and land cover. The closest association with PhenoCam measured phenology metrics represented a date (SOS, PIRGd, POS, and EOS) rather than a duration (length of spring, length of growing season), with R2 of individual datasets ranging from 0.03 (SOS) – 0.55 (PIRGd), and absolute value of mean bias ranging from 0.38 (PIRGd) – 37.92 days (EOS). Datasets had higher agreement with PhenoCam metrics in shrublands, grasslands, and deciduous/broadleaf forests than in evergreen forests. Productivity metrics agreed worse than phenology metrics, though some datasets showed high correlations in deciduous/broadleaf forests. Using the two datasets that agreed best with PhenoCam metrics and covered 1982-2016, we conducted a trend analysis to study changes to growing seasons. Trends in phenology exhibited substantial spatial heterogeneity in the direction of trend for both datasets. Variability of metrics increased over time in some areas, particularly in the Southwest. Approximately 60% of pixels had consistent trend direction (both earlier and later) for SOS, POS, and EOS. In all ecoregions except Mediterranean California EOS trended toward a later date. This study provides a comprehensive comparison of remote sensing datasets across many important phenology and productivity metrics and discusses considerations for users to make informed decisions about their data choices.</p>","language":"English","publisher":"MDPI","doi":"10.3390/rs12162538","usgsCitation":"Graves, T., Berman, E.E., Mikle, N., Merkle, J., Johnston, A.N., and Chong, G.W., 2020, Comparative performance and trend of remotely sensed phenology and productivity metrics across the Western United States: Remote Sensing, v. 12, no. 16, 2538, 27 p., https://doi.org/10.3390/rs12162538.","productDescription":"2538, 27 p.","ipdsId":"IP-117118","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":455728,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs12162538","text":"Publisher Index Page"},{"id":436832,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YL7B2F","text":"USGS data release","linkHelpText":"Historical trend analysis of phenology dates across the Western US from 1982 to 2016"},{"id":377480,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Idaho, Montana, New Mexico, Nevada, Oregon, Utah, Washington, Wyoming","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-104.053249,41.001406],[-102.124972,41.002338],[-102.051292,40.749591],[-102.04192,37.035083],[-102.979613,36.998549],[-103.002247,36.911587],[-103.064423,32.000518],[-106.565142,32.000736],[-106.577244,31.810406],[-106.750547,31.783706],[-108.208394,31.783599],[-108.208573,31.333395],[-111.000643,31.332177],[-114.813613,32.494277],[-114.722746,32.713071],[-117.118868,32.534706],[-117.50565,33.334063],[-118.088896,33.729817],[-118.428407,33.774715],[-118.519514,34.027509],[-119.159554,34.119653],[-119.616862,34.420995],[-120.441975,34.451512],[-120.608355,34.556656],[-120.644311,35.139616],[-120.873046,35.225688],[-120.884757,35.430196],[-121.851967,36.277831],[-121.932508,36.559935],[-121.788278,36.803994],[-121.880167,36.950151],[-122.140578,36.97495],[-122.419113,37.24147],[-122.511983,37.77113],[-122.425942,37.810979],[-122.168449,37.504143],[-122.144396,37.581866],[-122.385908,37.908136],[-122.301804,38.105142],[-122.484411,38.11496],[-122.492474,37.82484],[-122.972378,38.020247],[-123.103706,38.415541],[-123.725367,38.917438],[-123.851714,39.832041],[-124.373599,40.392923],[-124.063076,41.439579],[-124.536073,42.814175],[-124.150267,43.91085],[-123.962887,45.280218],[-123.996766,46.20399],[-123.548194,46.248245],[-124.029924,46.308312],[-124.06842,46.601397],[-123.97083,46.47537],[-123.84621,46.716795],[-124.022413,46.708973],[-124.108078,46.836388],[-123.86018,46.948556],[-124.138035,46.970959],[-124.425195,47.738434],[-124.672427,47.964414],[-124.727022,48.371101],[-123.981032,48.164761],[-122.748911,48.117026],[-122.637425,47.889945],[-123.15598,47.355745],[-122.527593,47.905882],[-122.578211,47.254804],[-122.725738,47.33047],[-122.691771,47.141958],[-122.796646,47.341654],[-122.863732,47.270221],[-122.67813,47.103866],[-122.364168,47.335953],[-122.429841,47.658919],[-122.230046,47.970917],[-122.425572,48.232887],[-122.358375,48.056133],[-122.512031,48.133931],[-122.424102,48.334346],[-122.689121,48.476849],[-122.425271,48.599522],[-122.796887,48.975026],[-104.048736,48.999877],[-104.053249,41.001406]]],[[[-119.789798,34.05726],[-119.5667,34.053452],[-119.795938,33.962929],[-119.916216,34.058351],[-119.789798,34.05726]]],[[[-118.524531,32.895488],[-118.573522,32.969183],[-118.369984,32.839273],[-118.524531,32.895488]]],[[[-118.500212,33.449592],[-118.32446,33.348782],[-118.593969,33.467198],[-118.500212,33.449592]]],[[[-122.519535,48.288314],[-122.66921,48.240614],[-122.400628,48.036563],[-122.419274,47.912125],[-122.744612,48.20965],[-122.664928,48.374823],[-122.519535,48.288314]]],[[[-122.800217,48.60169],[-122.883759,48.418793],[-123.173061,48.579086],[-122.949116,48.693398],[-122.743049,48.661991],[-122.800217,48.60169]]]]},\"properties\":{\"name\":\"Arizona\",\"nation\":\"USA  \"}}]}","volume":"12","issue":"16","noUsgsAuthors":false,"publicationDate":"2020-08-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Graves, Tabitha A. 0000-0001-5145-2400","orcid":"https://orcid.org/0000-0001-5145-2400","contributorId":202084,"corporation":false,"usgs":true,"family":"Graves","given":"Tabitha A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":796143,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berman, Ethan Edward 0000-0001-6112-6211","orcid":"https://orcid.org/0000-0001-6112-6211","contributorId":238131,"corporation":false,"usgs":true,"family":"Berman","given":"Ethan","email":"","middleInitial":"Edward","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":796144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mikle, Nathaniel 0000-0002-6529-8210 nmikle@usgs.gov","orcid":"https://orcid.org/0000-0002-6529-8210","contributorId":177026,"corporation":false,"usgs":true,"family":"Mikle","given":"Nathaniel","email":"nmikle@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":796145,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Merkle, Jerod 0000-0003-0100-1833","orcid":"https://orcid.org/0000-0003-0100-1833","contributorId":224370,"corporation":false,"usgs":false,"family":"Merkle","given":"Jerod","email":"","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":796146,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnston, Aaron N. 0000-0003-4659-0504","orcid":"https://orcid.org/0000-0003-4659-0504","contributorId":201768,"corporation":false,"usgs":true,"family":"Johnston","given":"Aaron","email":"","middleInitial":"N.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":796147,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chong, Geneva W. 0000-0003-3883-5153 geneva_chong@usgs.gov","orcid":"https://orcid.org/0000-0003-3883-5153","contributorId":419,"corporation":false,"usgs":true,"family":"Chong","given":"Geneva","email":"geneva_chong@usgs.gov","middleInitial":"W.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":796148,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70215775,"text":"70215775 - 2020 - Bidirectional connectivity via fish ladders in a large Neotropical river: Response to a comment","interactions":[],"lastModifiedDate":"2020-10-29T22:19:15.40488","indexId":"70215775","displayToPublicDate":"2020-08-06T17:11:42","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Bidirectional connectivity via fish ladders in a large Neotropical river: Response to a comment","docAbstract":"<p><span>In a recent article, we described fitting electronic tags to the fish&nbsp;</span><i>Prochilodus lineatus</i><span>&nbsp;to document how a fishway connected aquatic habitats downstream and upstream of a major dam. Moreover, given that tagged fish remained upstream or downstream for periods extending months and years before returning to the fishway, and that observed patterns of passage were consistent with seasonal migratory cycles, and building on existing literature, we speculated that the fishway allows fish access to spawning habitats upstream and feeding habitats downstream. Our interpretation of the movement data resulted in several comments from Pelicice, Pompeu, and Agostinho (2020) and they outline various reasons by which, in their opinion, some of our conclusions may be mistaken. Their critique is threefold. First, they argue that the percentage of fish attracted into the fishway is too low to consider the fishway an effective link between the reservoir and the river downstream. We contend that without estimates of population size it is impossible to judge if 28% passage is “limited”; conceivably, the absolute number of fish passed may still be enough to maintain a viable population. Second, they assert that because receivers were located only in the fishway it is unknown if fish that used the fishway remained near the dam, or if they continued their migration. We counter with a brief literature review that documents&nbsp;</span><i>P. lineatus</i><span>&nbsp;migrating through reservoirs and spawning in tributaries. Third, they advocate for a broader conservation perspective and for additional research. We agree and, in the article, had already expressed this view that fishways are only a temporary fix and that we support their use only as an element of a broader environmental management package. We also agree with the need for more research but argue that procrastinating on conservation action may not be wise because we do not know if the research will be done, how long it will take, or what the cost may be of waiting.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.3687","usgsCitation":"Celestino, L., Sanz-Ronda, F., Miranda, L.E., Makrakis, M., Pinheiro Dias, J., and Makrakis, S., 2020, Bidirectional connectivity via fish ladders in a large Neotropical river: Response to a comment: River Research and Applications, v. 36, no. 7, p. 1377-1381, https://doi.org/10.1002/rra.3687.","productDescription":"5 p.","startPage":"1377","endPage":"1381","ipdsId":"IP-117690","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":486800,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11449/200842","text":"External Repository"},{"id":379944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil","otherGeospatial":"Parana River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -53.4539794921875,\n              -22.91286328803374\n            ],\n            [\n              -52.4267578125,\n              -22.91286328803374\n            ],\n            [\n              -52.4267578125,\n              -22.212834764522576\n            ],\n            [\n              -53.4539794921875,\n              -22.212834764522576\n            ],\n            [\n              -53.4539794921875,\n              -22.91286328803374\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","issue":"7","noUsgsAuthors":false,"publicationDate":"2020-08-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Celestino, L.F.","contributorId":244135,"corporation":false,"usgs":false,"family":"Celestino","given":"L.F.","affiliations":[{"id":48852,"text":"Companhia Energética de São Paulo","active":true,"usgs":false}],"preferred":false,"id":803383,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanz-Ronda, F.J.","contributorId":207046,"corporation":false,"usgs":false,"family":"Sanz-Ronda","given":"F.J.","email":"","affiliations":[{"id":37437,"text":"Universidad de Valladolid","active":true,"usgs":false}],"preferred":false,"id":803384,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":803385,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Makrakis, M. C.","contributorId":244136,"corporation":false,"usgs":false,"family":"Makrakis","given":"M. C.","affiliations":[{"id":48853,"text":"Universidade Estadual do Oeste do Paraná","active":true,"usgs":false}],"preferred":false,"id":803386,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pinheiro Dias, J. H.","contributorId":244137,"corporation":false,"usgs":false,"family":"Pinheiro Dias","given":"J. H.","affiliations":[{"id":48854,"text":"Universidade Estadual Paulista","active":true,"usgs":false}],"preferred":false,"id":803387,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Makrakis, S.","contributorId":244138,"corporation":false,"usgs":false,"family":"Makrakis","given":"S.","affiliations":[{"id":48853,"text":"Universidade Estadual do Oeste do Paraná","active":true,"usgs":false}],"preferred":false,"id":803388,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70211816,"text":"70211816 - 2020 - Data-driven, multi-model workflow suggests strong influence from hurricanes on the generation of turbidity currents in the Gulf of Mexico","interactions":[],"lastModifiedDate":"2020-08-07T20:03:25.527836","indexId":"70211816","displayToPublicDate":"2020-08-06T14:44:50","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2380,"text":"Journal of Marine Science and Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Data-driven, multi-model workflow suggests strong influence from hurricanes on the generation of turbidity currents in the Gulf of Mexico","docAbstract":"<p><span>Turbidity currents deliver sediment rapidly from the continental shelf to the slope and beyond; and can be triggered by processes such as shelf resuspension during oceanic storms; mass failure of slope deposits due to sediment- and wave-pressure loadings; and localized events that grow into sustained currents via self-amplifying ignition. Because these operate over multiple spatial and temporal scales, ranging from the eddy-scale to continental-scale; coupled numerical models that represent the full transport pathway have proved elusive though individual models have been developed to describe each of these processes. Toward a more holistic tool, a numerical workflow was developed to address pathways for sediment routing from terrestrial and coastal sources, across the continental shelf and ultimately down continental slope canyons of the northern Gulf of Mexico, where offshore infrastructure is susceptible to damage by turbidity currents. Workflow components included: 1) a calibrated simulator for fluvial discharge (Water Balance Model - Sediment;&nbsp;</span><i><span class=\"html-italic\">WBMsed</span></i><span>); 2) domain grids for seabed sediment textures (</span><i><span class=\"html-italic\">dbSEABED</span></i><span>); bathymetry, and channelization; 3) a simulator for ocean dynamics and resuspension (the Regional Ocean Modeling System;&nbsp;</span><i><span class=\"html-italic\">ROMS</span></i><span>); 4) A simulator (</span><i><span class=\"html-italic\">HurriSlip</span></i><span>) of seafloor failure and flow ignition; and 5) A Reynolds-averaged Navier–Stokes (</span><i><span class=\"html-italic\">RANS</span></i><span>) turbidity current model (</span><i><span class=\"html-italic\">TURBINS</span></i><span>). Model simulations explored physical oceanic conditions that might generate turbidity currents, and allowed the workflow to be tested for a year that included two hurricanes. Results showed that extreme storms were especially effective at delivering sediment from coastal source areas to the deep sea, at timescales that ranged from individual wave events (~hours), to the settling lag of fine sediment (~days).</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/jmse8080586","usgsCitation":"Harris, C.K., Syvitski, J., Arango, H., Meiburg, E.H., Cohen, S., Jenkins, C., Birchler, J.J., Hutton, E.W., Kniskern, T.A., Radhakrishnan, S., and Auad, G., 2020, Data-driven, multi-model workflow suggests strong influence from hurricanes on the generation of turbidity currents in the Gulf of Mexico: Journal of Marine Science and Engineering, v. 8, no. 8, 586, 28 p., https://doi.org/10.3390/jmse8080586.","productDescription":"586, 28 p.","ipdsId":"IP-109071","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":455731,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/jmse8080586","text":"Publisher Index Page"},{"id":377178,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida, Louisiana, Mississippi, Texas","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.53662109375,\n              27.410785702577023\n            ],\n            [\n              -83.56201171875,\n              27.410785702577023\n            ],\n            [\n              -83.56201171875,\n              30.581179257386985\n            ],\n            [\n              -97.53662109375,\n              30.581179257386985\n            ],\n            [\n              -97.53662109375,\n              27.410785702577023\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"8","noUsgsAuthors":false,"publicationDate":"2020-08-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Harris, Courtney K.","contributorId":19620,"corporation":false,"usgs":false,"family":"Harris","given":"Courtney","email":"","middleInitial":"K.","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":795214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Syvitski, Jaia","contributorId":237738,"corporation":false,"usgs":false,"family":"Syvitski","given":"Jaia","email":"","affiliations":[],"preferred":false,"id":795215,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arango, H.G.","contributorId":103772,"corporation":false,"usgs":true,"family":"Arango","given":"H.G.","email":"","affiliations":[],"preferred":false,"id":795216,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meiburg, E. H.","contributorId":237739,"corporation":false,"usgs":false,"family":"Meiburg","given":"E.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":795217,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cohen, Sagy","contributorId":202461,"corporation":false,"usgs":false,"family":"Cohen","given":"Sagy","email":"","affiliations":[{"id":36450,"text":"Department of Geography, University of Alabama, Tuscaloosa, AL 35487, USA","active":true,"usgs":false}],"preferred":false,"id":795218,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jenkins, C.J.","contributorId":61244,"corporation":false,"usgs":true,"family":"Jenkins","given":"C.J.","email":"","affiliations":[],"preferred":false,"id":795219,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Birchler, Justin J. 0000-0002-0379-2192 jbirchler@usgs.gov","orcid":"https://orcid.org/0000-0002-0379-2192","contributorId":169117,"corporation":false,"usgs":true,"family":"Birchler","given":"Justin","email":"jbirchler@usgs.gov","middleInitial":"J.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":795220,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hutton, E. W. H.","contributorId":20940,"corporation":false,"usgs":true,"family":"Hutton","given":"E.","email":"","middleInitial":"W. H.","affiliations":[],"preferred":false,"id":795221,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kniskern, T. A.","contributorId":42807,"corporation":false,"usgs":false,"family":"Kniskern","given":"T.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":795222,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Radhakrishnan, S.","contributorId":237740,"corporation":false,"usgs":false,"family":"Radhakrishnan","given":"S.","email":"","affiliations":[],"preferred":false,"id":795223,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Auad, Guillermo","contributorId":78120,"corporation":false,"usgs":true,"family":"Auad","given":"Guillermo","email":"","affiliations":[],"preferred":false,"id":795224,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70211653,"text":"cir1465 - 2020 - U.S. Geological Survey—Northern Prairie Wildlife Research Center 2018 research activity report","interactions":[],"lastModifiedDate":"2020-08-06T17:33:03.579914","indexId":"cir1465","displayToPublicDate":"2020-08-06T12:32:46","publicationYear":"2020","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":"1465","displayTitle":"U.S. Geological Survey—Northern Prairie Wildlife Research Center 2018 Research Activity Report","title":"U.S. Geological Survey—Northern Prairie Wildlife Research Center 2018 research activity report","docAbstract":"<p>The mission of Northern Prairie Wildlife Research Center is to provide scientific information needed to conserve and manage the Nation’s natural capital for current and future generations, with an emphasis on migratory birds, Department of the Interior trust resources, and ecosystems of the Nation’s interior. This report provides an overview of the studies conducted at Northern Prairie during fiscal year 2018 in pursuit of this mission. Studies are organized under a framework developed by the U.S. Geological Survey Ecosystems Mission Area, identifying primary and secondary alignment with focal areas of research, and summarizing recent scientific products resulting from these studies. Partnerships with Federal, State, and non-Governmental organizations are essential to a robust program of applied ecological research, and we thank our many collaborators and colleagues whose contributions made this work possible. </p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1465","usgsCitation":"Sherfy, M.H., ed., 2020, U.S. Geological Survey—Northern Prairie Wildlife Research Center 2018 research activity report: U.S. Geological Survey Circular 1465, 69 p., https://doi.org/10.3133/cir1465.","productDescription":"ix, 69 p.","numberOfPages":"84","onlineOnly":"Y","ipdsId":"IP-113740","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":377078,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1465/cir1465.pdf","text":"Report","size":"32.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Circular 1465"},{"id":377077,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1465/coverthb.jpg"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/npwrc\" data-mce-href=\"https://www.usgs.gov/centers/npwrc\">Northern Prairie Wildlife Research Center</a><br>U.S. Geological Survey<br>8711 37th Street Southeast<br>Jamestown, ND 58401</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Northern Prairie Wildlife Research Center History and Science Focus</li><li>Lines of Work</li><li>Study Narratives</li><li>Species Biology</li><li>Species Stressors</li><li>Management and Restoration</li><li>Invasive Species</li><li>Fish and Wildlife Disease</li><li>References</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-08-06","noUsgsAuthors":false,"publicationDate":"2020-08-06","publicationStatus":"PW","contributors":{"editors":[{"text":"Sherfy, Mark H. 0000-0003-3016-4105 msherfy@usgs.gov","orcid":"https://orcid.org/0000-0003-3016-4105","contributorId":125,"corporation":false,"usgs":true,"family":"Sherfy","given":"Mark","email":"msherfy@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":794939,"contributorType":{"id":2,"text":"Editors"},"rank":1}]}}
,{"id":70215007,"text":"70215007 - 2020 - Evaluation of acute and chronic toxicity of nickel and zinc to 2 sensitive freshwater benthic invertebrates using refined testing methods","interactions":[],"lastModifiedDate":"2020-10-29T15:13:00.246324","indexId":"70215007","displayToPublicDate":"2020-08-06T11:44:51","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of acute and chronic toxicity of nickel and zinc to 2 sensitive freshwater benthic invertebrates using refined testing methods","docAbstract":"<p><span>The US Environmental Protection Agency (USEPA) is reviewing the protectiveness of the national ambient water quality criteria (WQC) for nickel (Ni) and zinc (Zn) and compiling toxicity databases to update the WQC. An amphipod (</span><i>Hyalella azteca</i><span>) and a unionid mussel (</span><i>Lampsilis siliquoidea</i><span>) have shown high sensitivity to Ni and Zn in previous studies. However, there remained uncertainties regarding the influence of test duration (48 vs 96 h) and the presence and absence of food in acute exposures with the amphipod, and there were also concerns about poor control of amphipod growth and reproduction and mussel growth in chronic exposures. We conducted acute 48‐ and 96‐h water‐only toxicity tests to evaluate the influence of feeding and test durations on the toxicity of dissolved Ni and Zn to the amphipod; we also used recently refined test methods to conduct chronic Ni and Zn toxicity tests to evaluate the sensitivity of the amphipod (6‐wk exposure) and the mussel (4‐ and 12‐wk exposures). The 96‐h 50% effect concentrations (EC50s) of 916 µg Ni/L and 99 µg Zn/L from acute amphipod tests without feeding decreased from the 48‐h EC50s by 62 and 33%, respectively, whereas the 96‐h EC50s of 2732 µg Ni/L and 194 µg Zn/L from the tests with feeding decreased from the 48‐h EC50s by 10 and 26%, indicating that the presence or absence of food had apparent implications for the 96‐h EC50. Our chronic 6‐wk EC20s for the amphipod (4.5 µg Ni/L and 35 µg Zn/L) were 50 to 67% lower than the 6‐wk EC20s from previous amphipod tests, and our chronic 4‐wk EC20s for the mussel (41 µg Ni/L and 66 µg Zn/L) were similar to or up to 42% lower than the 4‐wk EC20s from previous mussel tests. The lower EC20s from the present study likely reflect more accurate estimates of inherent sensitivity to Ni and Zn due to the refined test conditions. Finally, increasing the chronic test duration from 4 to 12 wk substantially increased the toxicity of Zn to the mussel, whereas the 4‐ and 12‐wk Ni effect needs to be re‐evaluated to understand the large degree of variation in organism responses observed in the present study.&nbsp;</span><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><i></i></span></p>","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.4841","usgsCitation":"Wang, N., Kunz, J.L., Cleveland, D.M., Steevens, J.A., Hammer, E.J., Van Genderen, E., Ryan, A.C., and Schlekat, C., 2020, Evaluation of acute and chronic toxicity of nickel and zinc to 2 sensitive freshwater benthic invertebrates using refined testing methods: Environmental Toxicology and Chemistry, v. 39, no. 11, p. 2256-2268, https://doi.org/10.1002/etc.4841.","productDescription":"13 p.","startPage":"2256","endPage":"2268","ipdsId":"IP-119074","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":436833,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DH1ORZ","text":"USGS data release","linkHelpText":"Chemical and biological data from acute and chronic nickel and zinc exposure bioassays to two sensitive freshwater benthic invertebrates"},{"id":379093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"11","noUsgsAuthors":false,"publicationDate":"2020-08-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Ning 0000-0002-2846-3352 nwang@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-3352","contributorId":2818,"corporation":false,"usgs":true,"family":"Wang","given":"Ning","email":"nwang@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":800523,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kunz, James L. 0000-0002-1027-158X jkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-1027-158X","contributorId":3309,"corporation":false,"usgs":true,"family":"Kunz","given":"James","email":"jkunz@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":800524,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cleveland, Danielle M. 0000-0003-3880-4584 dcleveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3880-4584","contributorId":187471,"corporation":false,"usgs":true,"family":"Cleveland","given":"Danielle","email":"dcleveland@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":800525,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steevens, Jeffery A. 0000-0003-3946-1229","orcid":"https://orcid.org/0000-0003-3946-1229","contributorId":207511,"corporation":false,"usgs":true,"family":"Steevens","given":"Jeffery","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":800526,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hammer, Edward J.","contributorId":150723,"corporation":false,"usgs":false,"family":"Hammer","given":"Edward","email":"","middleInitial":"J.","affiliations":[{"id":18077,"text":"U. S. Environmental Protection Agency, Region 5, Water Quality Branch, Chicago, Illinois","active":true,"usgs":false}],"preferred":false,"id":800527,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Van Genderen, Eric","contributorId":242622,"corporation":false,"usgs":false,"family":"Van Genderen","given":"Eric","affiliations":[{"id":48485,"text":"International Zinc Association, Durham, NC","active":true,"usgs":false}],"preferred":false,"id":800528,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ryan, Adam C.","contributorId":175564,"corporation":false,"usgs":false,"family":"Ryan","given":"Adam","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":800529,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schlekat, Christian E.","contributorId":242623,"corporation":false,"usgs":false,"family":"Schlekat","given":"Christian E.","affiliations":[{"id":48488,"text":"NiPERA Inc., Durham, NC","active":true,"usgs":false}],"preferred":false,"id":800530,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70211637,"text":"70211637 - 2020 - A hybrid approach for predictive soil property mapping using conventional soil survey data","interactions":[],"lastModifiedDate":"2020-09-10T20:19:02.656543","indexId":"70211637","displayToPublicDate":"2020-08-06T10:36:57","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3420,"text":"Soil Science Society of America Journal","active":true,"publicationSubtype":{"id":10}},"title":"A hybrid approach for predictive soil property mapping using conventional soil survey data","docAbstract":"Soil property maps are important for land management and earth systems modeling. A new hybrid point-disaggregation predictive soil property mapping strategy improved mapping in the Colorado River Basin, and can be applied to other areas with similar data (e.g. conterminous United States). This new approach increased sample size ~6-fold over past efforts.  Random forests related environmental raster layers representing soil forming factors to samples to predict 15 soil properties (pH, texture fractions, rock, electrical conductivity, gypsum, CaCO3, sodium adsorption ratio, available water capacity, bulk density, erodibility, organic matter) at 7 depths, depth to restrictive layer, and surface rock size and cover. Cross-validations resulted in coefficient of determinations averaging 0.52, with a range of 0.20 to 0.76; and mean absolute errors ranged from 3% to 98% of training data averages with a mean of 41%. Uncertainty estimates were also developed by creating relative prediction intervals (RPIs) for the entire study area, which allow end users to evaluate uncertainty relative to original data distributions. Average error increased with higher RPI values (higher uncertainty), and areas with the highest RPI are consistently under-sampled, suggesting that additional sampling in these areas may improve prediction accuracy. Greater uncertainty was also observed in areas with shale parent materials and physiographic settings uncommon relative to the broader study area.","language":"English","publisher":"Wiley","doi":"10.1002/saj2.20080","usgsCitation":"Nauman, T.W., and Duniway, M.C., 2020, A hybrid approach for predictive soil property mapping using conventional soil survey data: Soil Science Society of America Journal, v. 84, no. 4, p. 170-1194, https://doi.org/10.1002/saj2.20080.","productDescription":"25 p.","startPage":"170","endPage":"1194","onlineOnly":"Y","ipdsId":"IP-108106","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":436834,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9SK0DO2","text":"USGS data release","linkHelpText":"Predictive soil property maps with prediction uncertainty at 30-meter resolution for the Colorado River Basin above Lake Mead"},{"id":377090,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico, Colorado, Wyoming, Utah, Nevada, Arizona","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.61132812499999,\n              35.67514743608467\n            ],\n            [\n              -107.490234375,\n              39.50404070558415\n            ],\n            [\n              -108.720703125,\n              42.68243539838623\n            ],\n            [\n              -110.302734375,\n              42.5530802889558\n            ],\n            [\n              -112.1484375,\n              41.21172151054787\n            ],\n            [\n              -113.818359375,\n              38.06539235133249\n            ],\n            [\n              -115.6201171875,\n              37.3002752813443\n            ],\n            [\n              -116.3671875,\n              36.527294814546245\n            ],\n            [\n              -112.587890625,\n              34.56085936708384\n            ],\n            [\n              -106.61132812499999,\n              35.67514743608467\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"84","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-07-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Nauman, Travis W. 0000-0001-8004-0608 tnauman@usgs.gov","orcid":"https://orcid.org/0000-0001-8004-0608","contributorId":169241,"corporation":false,"usgs":true,"family":"Nauman","given":"Travis","email":"tnauman@usgs.gov","middleInitial":"W.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":794892,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":794893,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70211646,"text":"70211646 - 2020 - Evaluation of genetic structuring within GIS‐derived Brook Trout management units","interactions":[],"lastModifiedDate":"2021-01-25T15:51:59.457998","indexId":"70211646","displayToPublicDate":"2020-08-06T10:05:06","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of genetic structuring within GIS‐derived Brook Trout management units","docAbstract":"<p><span>Delineation of management units across broad spatial scales can help to visualize population structuring and identify conservation opportunities. Geographical information system (GIS) approaches can be useful for developing broad‐scale management units, especially when paired with field data that can validate the GIS‐based delineations. Genetic data can be useful for evaluating whether management units accurately represent population structuring. The Eastern Brook Trout Joint Venture, a regionwide collaborative group, delineated patch‐based management units for Brook Trout&nbsp;</span><i>Salvelinus fontinalis</i><span>&nbsp;by using GIS approaches to inform conservation strategies across the eastern United States. The objectives of this research were to (1) evaluate how well the patches predicted Brook Trout genetic structuring in Connecticut, USA; (2) modify the patches as needed to represent contemporary genetic structuring; and (3) identify catchment‐ and patch‐scale riverscape characteristics that predict genetic diversity. Patches with dams and high levels of upstream impervious surfaces (&gt;3%) had increased intrapatch genetic structuring, which we incorporated into our revised patch delineation algorithm. Patch area and catchment area were the best predictors of genetic diversity, suggesting the importance of maintaining connectivity and incorporating patch‐scale processes into conservation actions. The modified patch layer could be used as the basis for Brook Trout management units to help predict population structuring in the absence of watershed‐scale genetic data, allowing opportunities for Brook Trout conservation to be identified.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10260","usgsCitation":"Nathan, L., Kanno, Y., Letcher, B., Welsh, A.B., Whiteley, A.R., and Vokoun, J., 2020, Evaluation of genetic structuring within GIS‐derived Brook Trout management units: Transactions of the American Fisheries Society, v. 149, no. 6, p. 681-694, https://doi.org/10.1002/tafs.10260.","productDescription":"14 p.","startPage":"681","endPage":"694","ipdsId":"IP-117802","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":382550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"149","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nathan, Lucas","contributorId":236997,"corporation":false,"usgs":false,"family":"Nathan","given":"Lucas","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":794912,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kanno, Y.","contributorId":214290,"corporation":false,"usgs":false,"family":"Kanno","given":"Y.","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":794913,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Letcher, Benjamin 0000-0003-0191-5678 bletcher@usgs.gov","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":169305,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin","email":"bletcher@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":794914,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Welsh, Amy B.","contributorId":192239,"corporation":false,"usgs":false,"family":"Welsh","given":"Amy","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":794915,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whiteley, Andrew R.","contributorId":150155,"corporation":false,"usgs":false,"family":"Whiteley","given":"Andrew","email":"","middleInitial":"R.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":794916,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vokoun, Jason C.","contributorId":236998,"corporation":false,"usgs":false,"family":"Vokoun","given":"Jason C.","affiliations":[{"id":47587,"text":"University of CT","active":true,"usgs":false}],"preferred":false,"id":794917,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70211693,"text":"70211693 - 2020 - The freshwater mysid Mysis diluviana (Audzijonyte and Väinölä, 2005) (Mysida: Mysidae) consumes detritus in the presence of Daphnia (Cladocera: Daphniidae)","interactions":[],"lastModifiedDate":"2020-08-07T14:11:57.748282","indexId":"70211693","displayToPublicDate":"2020-08-06T09:09:53","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2235,"text":"Journal of Crustacean Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The freshwater mysid <i>Mysis diluviana</i> (Audzijonyte and Väinölä, 2005) (Mysida: Mysidae) consumes detritus in the presence of <i>Daphnia</i> (Cladocera: Daphniidae)","title":"The freshwater mysid Mysis diluviana (Audzijonyte and Väinölä, 2005) (Mysida: Mysidae) consumes detritus in the presence of Daphnia (Cladocera: Daphniidae)","docAbstract":"Freshwater mysids of the Mysis relicta group are omnivorous macroinvertebrates that form an important link between fishes and lower trophic levels in many north temperate to Arctic lakes, where they exhibit diel vertical migration (DVM) to exploit subsurface food-rich layers at night. Benthic food resources have been assumed to be less important for mysid diets than pelagic zooplankton. Studies have nevertheless indicated that mysids consume benthic sedimented detritus, calling this assumption into question. We conducted a food-choice experiment to evaluate the feeding preferences of Mysis diluviana (Audzijonyte & Vainola, 2005) by presenting field-caught specimens in individual foraging arenas with multiple choices of food. Experimental food treatments included a preferred pelagic prey (Daphnia), a presumed less desirable benthic resource (detritus), and a combination of both. We hypothesized that M. diluviana 1) prefers Daphnia over detritus and consumes only Daphnia in combination treatments, and 2) would not consume detritus except when detritus was the only food source available. Contrary to our hypothesis, M. diluviana readily consumed detritus in the presence of Daphnia. M. diluviana unexpectedly consumed more individuals of Daphnia in the presence rather than in the absence of detritus. Our results demonstrate that mysids take advantage of benthic food resources even in the presence of a presumably preferred zooplankton prey, calling to question the long-held assumption that benthic resources are unimportant when considering the trophic role of freshwater mysids of the M. relicta group.","language":"English","publisher":"Oxford Academic","doi":"10.1093/jcbiol/ruaa053","usgsCitation":"Griffin, J.E., O’Malley, B., and Stockwell, J.D., 2020, The freshwater mysid Mysis diluviana (Audzijonyte and Väinölä, 2005) (Mysida: Mysidae) consumes detritus in the presence of Daphnia (Cladocera: Daphniidae): Journal of Crustacean Biology, ruaa053, 6 p., https://doi.org/10.1093/jcbiol/ruaa053.","productDescription":"ruaa053, 6 p.","ipdsId":"IP-118255","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":455738,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jcbiol/ruaa053","text":"Publisher Index Page"},{"id":377174,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2020-08-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Griffin, Jessica E.","contributorId":237059,"corporation":false,"usgs":false,"family":"Griffin","given":"Jessica","email":"","middleInitial":"E.","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":795094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Malley, Brian 0000-0001-5035-3080 bomalley@usgs.gov","orcid":"https://orcid.org/0000-0001-5035-3080","contributorId":216560,"corporation":false,"usgs":true,"family":"O’Malley","given":"Brian","email":"bomalley@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":795095,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockwell, Jason D. 0000-0003-3393-6799","orcid":"https://orcid.org/0000-0003-3393-6799","contributorId":61004,"corporation":false,"usgs":false,"family":"Stockwell","given":"Jason","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":795096,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70211647,"text":"70211647 - 2020 - Dynamics of lake trout production in the main basin of Lake Huron","interactions":[],"lastModifiedDate":"2020-08-06T14:10:58.01762","indexId":"70211647","displayToPublicDate":"2020-08-06T09:05:18","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1936,"text":"ICES Journal of Marine Science","active":true,"publicationSubtype":{"id":10}},"title":"Dynamics of lake trout production in the main basin of Lake Huron","docAbstract":"To inform lake trout (Salvelinus namaycush) fishery management in Lake Huron that has undergone rapid ecosystem changes, we quantified lake trout production dynamics by coupling age-structured stock assessment and fish bioenergetics models.  Our approach revealed the connection between piscivore production and prey consumption, included growth compensation to reproduction losses, and allowed comparisons between long-term dynamics of fishery harvests and fish production.  We found that despite the collapse of alewives, a major non-native pelagic prey fish, lake trout production appeared to be sustainable.  To a certain degree, the effect of recent recruitment declines on lake trout production was offset by release of harvest pressure from subadult lake trout, and reduction of fishing and sea lamprey induced mortality on adult lake trout.   Evidence for sustainability also included the finding that no changes in average ratios of annual production to beginning-of-the-year biomass.  Juvenile P:B ratio remained as high as 2.1.  The effect of growth declines on adult and subadult production was offset by reduction in population mortality.  Body growth and condition did not continue to decline when lake trout became more and more reliant on round goby as food, and the dynamics of total consumption of prey fish continued to be recipient controlled.","language":"English","publisher":"ICES Journal of Marine Science","doi":"10.1093/icesjms/fsaa030","collaboration":"Michigan Department of Natural Resources, Michigan State University","usgsCitation":"He, J.X., Bence, J., Madenjian, C.P., and Claramunt, R.M., 2020, Dynamics of lake trout production in the main basin of Lake Huron: ICES Journal of Marine Science, v. 77, no. 3, p. 975-987, https://doi.org/10.1093/icesjms/fsaa030.","productDescription":"13 p.","startPage":"975","endPage":"987","ipdsId":"IP-111403","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":377081,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Huron","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.6990966796875,\n              46.02366774426006\n            ],\n            [\n              -84.7320556640625,\n              45.767522962149876\n            ],\n            [\n              -84.232177734375,\n              45.63324613981234\n            ],\n            [\n              -84.0838623046875,\n              45.49094569262732\n            ],\n            [\n              -83.6993408203125,\n              45.38301927899065\n            ],\n            [\n              -83.507080078125,\n              45.32897866218559\n            ],\n            [\n              -83.4027099609375,\n              45.236217535866025\n            ],\n            [\n              -83.2928466796875,\n              45.01141864227728\n            ],\n            [\n              -83.43017578125,\n              45.042478050891546\n            ],\n            [\n              -83.29833984375,\n              44.867549659447214\n            ],\n            [\n              -83.3148193359375,\n              44.54742015866826\n            ],\n            [\n              -83.3807373046875,\n              44.296332880058706\n            ],\n            [\n              -82.9522705078125,\n              44.26093725039923\n            ],\n            [\n              -82.254638671875,\n              44.296332880058706\n            ],\n            [\n              -81.4031982421875,\n              44.953136827528816\n            ],\n            [\n              -81.727294921875,\n              45.24008561090264\n            ],\n            [\n              -82.177734375,\n              45.598665689820635\n            ],\n            [\n              -83.056640625,\n              45.832626782661535\n            ],\n            [\n              -83.375244140625,\n              45.836454050187726\n            ],\n            [\n              -83.9190673828125,\n              45.98932892799953\n            ],\n            [\n              -84.6990966796875,\n              46.02366774426006\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"77","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-03-10","publicationStatus":"PW","contributors":{"authors":[{"text":"He, Ji X.","contributorId":181528,"corporation":false,"usgs":false,"family":"He","given":"Ji","email":"","middleInitial":"X.","affiliations":[],"preferred":false,"id":794918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bence, James R.","contributorId":95026,"corporation":false,"usgs":false,"family":"Bence","given":"James R.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":794919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":794920,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Claramunt, Randall M.","contributorId":190497,"corporation":false,"usgs":false,"family":"Claramunt","given":"Randall","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":794921,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70211706,"text":"70211706 - 2020 - Methods for rapid quality assessment for national-scale land surface change monitoring","interactions":[],"lastModifiedDate":"2020-08-07T13:34:27.240855","indexId":"70211706","displayToPublicDate":"2020-08-06T08:30:46","publicationYear":"2020","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":"Methods for rapid quality assessment for national-scale land surface change monitoring","docAbstract":"Providing rapid access to land surface change data and information is a goal of the U.S. Geological Survey.  Through the Land Change Monitoring, Assessment, and Projection (LCMAP) initiative, we have initiated a monitoring capability that involves generating a suite of ten annual land cover and land surface change datasets across the United States at a 30-m spatial resolution. During the LCMAP automated production on a tile-by-tile basis, erroneous data can occasionally be generated due to hardware or software failure. While crucial to assure the quality of the data, rapid evaluation of results at the pixel level during production is a substantial challenge because of the massive data volumes. Traditionally, product quality relies on the validation after production, which is inefficient to reproduce the whole product when an error occurs. This paper presents a method for automatically evaluating LCMAP results during the production phase based on fourteen indices to quickly find and flag erroneous tiles in the LCMAP products. The methods involved two types of comparisons: comparing LCMAP values across the temporal record to measure internal consistency and calculating agreement with multiple intervals of the National Land Cover Database (NLCD) data to measure the consistency with existing products.  We developed indices on a tile-by-tile basis in order to quickly find and flag potential erroneous tiles by comparing with surrounding tiles using local outlier factor analysis. The analysis integrates all indices into a local outlier score (LOS) to detect erroneous tiles distinct from neighbor tiles. Our analysis showed that the methods were sensitive to partially erroneous tiles in the simulated data with a LOS higher than 2. The rapid quality assessment methods also successfully identified erroneous tiles during the LCMAP production, in which land surface change results were not properly saved to the products. The LOS map and indices for rapid quality assessment also point to directions for further investigations. A map of all LOS values by tile for the published LCMAP shows all LOS values are below 2. We also investigated tiles with high LOS to ensure the distinction with neighboring tiles was reasonable. An index in this study shows the overall agreement between LCMAP and NLCD on a tile basis is above 71.5% and has an average at 89.1% across the 422 tiles in the conterminous U.S. The workflow is suitable for other studies with a large volume of image products.","language":"English","publisher":"MDPI","doi":"10.3390/rs12162524","usgsCitation":"Zhou, Q., Barber, C., and Xian, G.Z., 2020, Methods for rapid quality assessment for national-scale land surface change monitoring: Remote Sensing, v. 12, no. 16, 2524, 18 p., https://doi.org/10.3390/rs12162524.","productDescription":"2524, 18 p.","ipdsId":"IP-120030","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":455740,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs12162524","text":"Publisher Index 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]\n}","volume":"12","issue":"16","noUsgsAuthors":false,"publicationDate":"2020-08-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhou, Qiang 0000-0002-1282-8177","orcid":"https://orcid.org/0000-0002-1282-8177","contributorId":223103,"corporation":false,"usgs":true,"family":"Zhou","given":"Qiang","email":"","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":795198,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barber, Christopher P. 0000-0003-0570-1140","orcid":"https://orcid.org/0000-0003-0570-1140","contributorId":223102,"corporation":false,"usgs":true,"family":"Barber","given":"Christopher","middleInitial":"P.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":795199,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":795200,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70211994,"text":"70211994 - 2020 - Generalized models to estimate carbon and nitrogen stocks of organic soil horizons in Interior Alaska","interactions":[],"lastModifiedDate":"2020-08-13T12:56:44.564102","indexId":"70211994","displayToPublicDate":"2020-08-06T07:53:36","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6009,"text":"Earth System Science Data (ESSD)","active":true,"publicationSubtype":{"id":10}},"title":"Generalized models to estimate carbon and nitrogen stocks of organic soil horizons in Interior Alaska","docAbstract":"Boreal ecosystems comprise one tenth of the world’s land surface and contain over 20 % of the global soil carbon (C) stocks. Boreal soils are unique in that its mineral soil is covered by what can be quite thick layers of organic soil. These organic soil layers, or horizons, can differ in their state of decomposition, source vegetation, and disturbance history. These differences result in varying soil properties (bulk density, C concentration, and nitrogen (N) concentration) among soil horizons. Here we summarize these soil properties, as represented by over 3000 samples from Interior Alaska, and examine how soil drainage and stand age affect these attributes. The summary values presented here can be used to gap-fill large datasets when important soil properties were not measured, provide data to initialize process-based models, and validate model results. These data are available at https://doi.org/10.5066/P960N1F9 (Manies, 2019).","language":"English","publisher":"Copernicus Publications","doi":"10.5194/essd-12-1745-2020","usgsCitation":"Manies, K.L., Waldrop, M., and Harden, J.W., 2020, Generalized models to estimate carbon and nitrogen stocks of organic soil horizons in Interior Alaska: Earth System Science Data (ESSD), v. 12, p. 1745-1757, https://doi.org/10.5194/essd-12-1745-2020.","productDescription":"13 p.","startPage":"1745","endPage":"1757","ipdsId":"IP-109891","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":455749,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/essd-12-1745-2020","text":"Publisher Index Page"},{"id":377481,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -160.3125,\n              63.54855223203644\n            ],\n            [\n              -142.734375,\n              63.54855223203644\n            ],\n            [\n              -142.734375,\n              68.13885164925573\n            ],\n            [\n              -160.3125,\n              68.13885164925573\n            ],\n            [\n              -160.3125,\n              63.54855223203644\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2020-08-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Manies, Kristen L. 0000-0003-4941-9657 kmanies@usgs.gov","orcid":"https://orcid.org/0000-0003-4941-9657","contributorId":2136,"corporation":false,"usgs":true,"family":"Manies","given":"Kristen","email":"kmanies@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":796140,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waldrop, Mark 0000-0003-1829-7140","orcid":"https://orcid.org/0000-0003-1829-7140","contributorId":216758,"corporation":false,"usgs":true,"family":"Waldrop","given":"Mark","affiliations":[],"preferred":true,"id":796141,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harden, Jennifer W. 0000-0002-6570-8259 jharden@usgs.gov","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":1971,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","email":"jharden@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":796142,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70211605,"text":"sir20205077 - 2020 - Steps taken for calculating estimated ultimate recoveries of wells in the Eagle Ford Group and associated Cenomanian–Turonian strata, U.S. Gulf Coast, Texas, 2018","interactions":[],"lastModifiedDate":"2020-08-06T19:01:37.143617","indexId":"sir20205077","displayToPublicDate":"2020-08-06T05:52:21","publicationYear":"2020","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":"2020-5077","displayTitle":"Steps Taken for Calculating Estimated Ultimate Recoveries of Wells in the Eagle Ford Group and Associated Cenomanian–Turonian Strata, U.S. Gulf Coast, Texas, 2018","title":"Steps taken for calculating estimated ultimate recoveries of wells in the Eagle Ford Group and associated Cenomanian–Turonian strata, U.S. Gulf Coast, Texas, 2018","docAbstract":"<p>In 2018, the U.S. Geological Survey published an assessment of technically recoverable continuous oil and gas resources of the Eagle Ford Group and associated Cenomanian–Turonian strata in the U.S. Gulf Coast of Texas. Estimated ultimate recoveries (EURs) were calculated with production data from IHS Markit<sup>TM</sup> using DeclinePlus software in the Harmony interface. These EURs were a major component of the aforementioned quantitative resource assessment fact sheet. The calculated mean EURs for each oil assessment unit (AU) ranged from 113,000 barrels of oil in the Cenomanian–Turonian Mudstone Continuous Oil AU to 223,000 barrels of oil in the Submarine Plateau-Karnes Trough Continuous Oil AU. The calculated mean EURs for each gas AU ranged from 2.261 billion cubic feet of gas in the Submarine Plateau-Karnes Trough Continuous Gas AU to 3.116 billion cubic feet of gas in the Eagle Ford Marl Continuous Gas AU.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205077","usgsCitation":"Leathers-Miller, H.M., 2020, Steps taken for calculating estimated ultimate recoveries of wells in the Eagle Ford Group and associated Cenomanian–Turonian strata, U.S. Gulf Coast, Texas, 2018: U.S. Geological Survey Scientific Investigations Report 2020–5077, 5 p., https://doi.org/10.3133/sir20205077.","productDescription":"5 p.","numberOfPages":"5","onlineOnly":"Y","ipdsId":"IP-102505","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":377009,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5077/sir20205077.pdf","text":"Report","size":"5.37 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5077"},{"id":377008,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5077/coverthb.jpg"}],"country":"United States","state":"Texas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.2626953125,\n              32.80574473290688\n            ],\n            [\n              -98.85498046875,\n              30.35391637229704\n            ],\n            [\n              -100.72265625,\n              29.22889003019423\n            ],\n            [\n              -100.2392578125,\n              28.246327971048842\n            ],\n            [\n              -99.51416015625,\n              27.527758206861886\n            ],\n            [\n              -99.31640625,\n              27.078691552927534\n            ],\n            [\n              -96.85546875,\n              28.70986084394286\n            ],\n            [\n              -93.8232421875,\n              30.543338954230222\n            ],\n            [\n              -92.35107421874999,\n              31.147006308556566\n            ],\n            [\n              -94.2626953125,\n              32.80574473290688\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/energy-and-minerals/energy-resources-program/\" href=\"https://www.usgs.gov/energy-and-minerals/energy-resources-program/\">Central Energy Resources Science Center</a><br>U.S. Geological Survey<br>Box 25046, Mail Stop 939<br>Denver, CO 80225<br></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Steps Taken</li><li>Results</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2020-08-06","noUsgsAuthors":false,"publicationDate":"2020-08-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Leathers-Miller, Heidi M. 0000-0001-5208-9906","orcid":"https://orcid.org/0000-0001-5208-9906","contributorId":210000,"corporation":false,"usgs":true,"family":"Leathers-Miller","given":"Heidi M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":794775,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70273010,"text":"70273010 - 2020 - Winter versus summer habitat selection in a threatened ground squirrel","interactions":[],"lastModifiedDate":"2025-12-12T19:22:35.135314","indexId":"70273010","displayToPublicDate":"2020-08-06T00:00:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3587,"text":"The Wildlife Professional","active":true,"publicationSubtype":{"id":10}},"title":"Winter versus summer habitat selection in a threatened ground squirrel","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Hibernation is a strategy many species employ to survive periods of thermal stress or resource shortage (e.g., harsh thermal conditions, food limitations) and habitat requirements of hibernating species may differ between summer (the active season) and winter (during hibernation). Accounting for seasonal differences in habitat affinities will help ensure that management actions are more beneficial and land-use policies are more appropriate. The northern Idaho ground squirrel (</span><i>Urocitellus brunneus</i><span>) is a federally listed threatened species that is in decline and hibernates for approximately 8 months per year. We collared northern Idaho ground squirrels in Adams County, Idaho from 2013–2017. The majority of northern Idaho ground squirrels we collared selected hibernacula outside of the areas they used during the active season. Furthermore, habitat features of hibernacula locations differed from habitat features of active-season areas. Hibernacula locations had greater canopy closure compared to active-season locations (36.9% and 7.0% canopy closure, respectively) and hibernaculum habitat features (particularly distance to nearest log) influenced overwinter survival. Our results suggest that recovery efforts for northern Idaho ground squirrels should include protection and management for the full range of habitat conditions used throughout summer and winter. More broadly, we emphasize the need to identify and protect habitat during all seasons because habitat requirements can differ substantially during different portions of an animal's annual cycle and effective conservation will require management of year-round habitat needs.</span></span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21936","usgsCitation":"Goldberg, A.R., Conway, C.J., Mack, D.E., and Burak, G.S., 2020, Winter versus summer habitat selection in a threatened ground squirrel: The Wildlife Professional, v. 84, no. 8, p. 1548-1559, https://doi.org/10.1002/jwmg.21936.","productDescription":"12 p.","startPage":"1548","endPage":"1559","ipdsId":"IP-102406","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":497502,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","county":"Adams County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.37553141044718,\n              45.34398367526143\n            ],\n            [\n              -117.37553141044718,\n              44.05501390269339\n            ],\n            [\n              -116.10109120802274,\n              44.05501390269339\n            ],\n            [\n              -116.10109120802274,\n              45.34398367526143\n            ],\n            [\n              -117.37553141044718,\n              45.34398367526143\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"84","issue":"8","noUsgsAuthors":false,"publicationDate":"2020-08-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Goldberg, Amanda R.","contributorId":363896,"corporation":false,"usgs":false,"family":"Goldberg","given":"Amanda","middleInitial":"R.","affiliations":[{"id":39599,"text":"ui","active":true,"usgs":false}],"preferred":false,"id":952092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":952095,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mack, Diane Evans","contributorId":363902,"corporation":false,"usgs":false,"family":"Mack","given":"Diane","middleInitial":"Evans","affiliations":[{"id":56023,"text":"idfg","active":true,"usgs":false}],"preferred":false,"id":952094,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burak, Greg S.","contributorId":363893,"corporation":false,"usgs":false,"family":"Burak","given":"Greg","middleInitial":"S.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":952091,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70216993,"text":"70216993 - 2020 - Detection of SARS-CoV-2 by RNAscope® in situ hybridization and immunohistochemistry techniques","interactions":[],"lastModifiedDate":"2020-12-28T14:14:10.993732","indexId":"70216993","displayToPublicDate":"2020-08-05T11:03:17","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":892,"text":"Archives of Virology","active":true,"publicationSubtype":{"id":10}},"title":"Detection of SARS-CoV-2 by RNAscope® in situ hybridization and immunohistochemistry techniques","docAbstract":"<div class=\"u-vh-full\"><div id=\"main-content\" class=\"u-container u-mt-32 u-mb-32 u-clearfix\" data-component=\"article-container\"><div class=\"c-article-body\" data-track-component=\"article body\" data-article-body=\"true\"><div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p><i>In situ</i> hybridization (ISH) and immunohistochemistry (IHC) are essential tools to characterize SARS-CoV-2 infection and tropism in naturally and experimentally infected animals and also for diagnostic purposes. Here, we describe three RNAscope<sup>®</sup>-based ISH assays targeting the ORF1ab, spike, and nucleocapsid genes and IHC assays targeting the spike and nucleocapsid proteins of SARS-CoV-2.</p></div></div></div></div></div>","doi":"10.1007/s00705-020-04737-w","usgsCitation":"Carossino, M., Ip, H., Richt, J.A., Schultz, K., Harper, K., Loynachan, A.T., Del Piero, F., and Balasuriya, U.B., 2020, Detection of SARS-CoV-2 by RNAscope® in situ hybridization and immunohistochemistry techniques: Archives of Virology, v. 165, p. 2373-2377, https://doi.org/10.1007/s00705-020-04737-w.","productDescription":"5 p.","startPage":"2373","endPage":"2377","ipdsId":"IP-119156","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":455750,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00705-020-04737-w","text":"Publisher Index Page"},{"id":381573,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"165","noUsgsAuthors":false,"publicationDate":"2020-08-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Carossino, Mariano","contributorId":245857,"corporation":false,"usgs":false,"family":"Carossino","given":"Mariano","email":"","affiliations":[],"preferred":false,"id":807186,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ip, Hon S. 0000-0003-4844-7533","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":126815,"corporation":false,"usgs":true,"family":"Ip","given":"Hon S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":807187,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richt, Jurgen a.","contributorId":171819,"corporation":false,"usgs":false,"family":"Richt","given":"Jurgen","email":"","middleInitial":"a.","affiliations":[],"preferred":false,"id":807188,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schultz, Kendra","contributorId":245858,"corporation":false,"usgs":false,"family":"Schultz","given":"Kendra","email":"","affiliations":[],"preferred":false,"id":807189,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harper, Kimberly","contributorId":245859,"corporation":false,"usgs":false,"family":"Harper","given":"Kimberly","email":"","affiliations":[],"preferred":false,"id":807190,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Loynachan, Alan T.","contributorId":245860,"corporation":false,"usgs":false,"family":"Loynachan","given":"Alan","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":807191,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Del Piero, Fabio","contributorId":245861,"corporation":false,"usgs":false,"family":"Del Piero","given":"Fabio","email":"","affiliations":[],"preferred":false,"id":807192,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Balasuriya, Udeni B.R.","contributorId":245862,"corporation":false,"usgs":false,"family":"Balasuriya","given":"Udeni","email":"","middleInitial":"B.R.","affiliations":[],"preferred":false,"id":807193,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70230035,"text":"70230035 - 2020 - Understanding the uncertainty in global forest carbon turnover","interactions":[],"lastModifiedDate":"2022-03-25T13:54:17.290291","indexId":"70230035","displayToPublicDate":"2020-08-05T08:50:31","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Understanding the uncertainty in global forest carbon turnover","docAbstract":"The length of time that carbon remains in forest biomass is one of the largest uncertainties in the global carbon cycle, with both recent historical baselines and future responses to environmental change poorly constrained by available observations. In the absence of large-scale observations, models used for global assessments tend to fall back on simplified assumptions of the turnover rates of biomass and soil carbon pools. In this study, the biomass carbon turnover times calculated by an ensemble of contemporary terrestrial biosphere models (TBMs) are analysed to assess their current capability to accurately estimate biomass carbon turnover times in forests and how these times are anticipated to change in the future. Modelled baseline 1985–2014 global average forest biomass turnover times vary from 12.2 to 23.5 years between TBMs. TBM differences in phenological processes, which control allocation to, and turnover rate of, leaves and fine roots, are as important as tree mortality with regard to explaining the variation in total turnover among TBMs. The different governing mechanisms exhibited by each TBM result in a wide range of plausible turnover time projections for the end of the century. Based on these simulations, it is not possible to draw robust conclusions regarding likely future changes in turnover time, and thus biomass change, for different regions. Both spatial and temporal uncertainty in turnover time are strongly linked to model assumptions concerning plant functional type distributions and their controls. Thirteen model-based hypotheses of controls on turnover time are identified, along with recommendations for pragmatic steps to test them using existing and novel observations. Efforts to resolve uncertainty in turnover time, and thus its impacts on the future evolution of biomass carbon stocks across the world's forests, will need to address both mortality and establishment components of forest demography, as well as allocation of carbon to woody versus non-woody biomass growth.","language":"English","publisher":"European Geosciences Union","doi":"10.5194/bg-17-3961-2020","usgsCitation":"Pugh, T., Rademacher, T.T., Shafer, S., Steinkamp, J., Barichivich, J., Beckage, B., Haverd, V., Harper, A., Heinke, J., Nishina, K., Rammig, A., Sato, H., Arneth, A., Hantson, S., Hickler, T., Kautz, M., Quesada, B., Smith, B., and Thonicke, K., 2020, Understanding the uncertainty in global forest carbon turnover: Biogeosciences, v. 17, p. 3961-3989, https://doi.org/10.5194/bg-17-3961-2020.","productDescription":"29 p.","startPage":"3961","endPage":"3989","ipdsId":"IP-108104","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":455754,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-17-3961-2020","text":"Publisher Index Page"},{"id":397598,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","noUsgsAuthors":false,"publicationDate":"2020-08-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Pugh, Thomas A. M.","contributorId":289252,"corporation":false,"usgs":false,"family":"Pugh","given":"Thomas A. M.","affiliations":[{"id":62077,"text":"School of Geography, Earth & Environmental Sciences and Birmingham Institute of Forest Research, University of Birmingham, Birmingham, B15 2TT, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":838803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rademacher, Tim Tito","contributorId":289253,"corporation":false,"usgs":false,"family":"Rademacher","given":"Tim","email":"","middleInitial":"Tito","affiliations":[{"id":62079,"text":"Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA","active":true,"usgs":false}],"preferred":false,"id":838804,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shafer, Sarah 0000-0003-3739-2637 sshafer@usgs.gov","orcid":"https://orcid.org/0000-0003-3739-2637","contributorId":149866,"corporation":false,"usgs":true,"family":"Shafer","given":"Sarah","email":"sshafer@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":838805,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steinkamp, Jorg","contributorId":289254,"corporation":false,"usgs":false,"family":"Steinkamp","given":"Jorg","email":"","affiliations":[{"id":62080,"text":"Senckenberg Biodiversity and Climate Research Centre (BiK-F), Senckenberganlage 25, 60325 Frankfurt/Main, Germany","active":true,"usgs":false}],"preferred":false,"id":838806,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barichivich, Jonathan","contributorId":289255,"corporation":false,"usgs":false,"family":"Barichivich","given":"Jonathan","email":"","affiliations":[{"id":62081,"text":"Instituto de Conservación Biodiversidad y Territorio, Universidad Austral de Chile, Valdivia, Chile, and Center for Climate and Resilience Research, Santiago, Chile; Instituto de Geografía, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile","active":true,"usgs":false}],"preferred":false,"id":838807,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beckage, Brian","contributorId":289256,"corporation":false,"usgs":false,"family":"Beckage","given":"Brian","email":"","affiliations":[{"id":62082,"text":"Department of Plant Biology & Department of Computer Science, University of Vermont, Burlington, VT 05405, USA","active":true,"usgs":false}],"preferred":false,"id":838808,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Haverd, Vanessa 0000-0003-4359-5895","orcid":"https://orcid.org/0000-0003-4359-5895","contributorId":245057,"corporation":false,"usgs":false,"family":"Haverd","given":"Vanessa","email":"","affiliations":[{"id":49073,"text":"CSIRO Oceans and Atmosphere, GPO Box 1700, Canberra, ACT, 2601 Australia","active":true,"usgs":false}],"preferred":false,"id":838809,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Harper, 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,{"id":70220557,"text":"70220557 - 2020 - The catastrophic decline of tortoises at a fenced natural area","interactions":[],"lastModifiedDate":"2021-05-19T12:37:06.051732","indexId":"70220557","displayToPublicDate":"2020-08-05T07:32:48","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3773,"text":"Wildlife Monographs","active":true,"publicationSubtype":{"id":10}},"title":"The catastrophic decline of tortoises at a fenced natural area","docAbstract":"<p>Agassiz’s desert tortoise (<i>Gopherus agassizii</i>), a threatened species of the southwestern United States, has severely declined to the point where 76% of populations in critical habitat (Tortoise Conservation Areas) are below viability. The potential for rapid recovery of wild populations is low because females require 12–20 years to reach reproductive maturity and produce few eggs annually. We report on a 34‐year mark‐recapture study of tortoises initiated in 1979 at the Desert Tortoise Research Natural Area in the western Mojave Desert, California, USA, and provide substantive data on challenges faced by the species. In 1980, the United States Congress designated the Research Natural Area and protected the land from recreational vehicles, livestock grazing, and mining with a wildlife‐permeable fence. The 7.77‐km<sup>2</sup><span>&nbsp;</span>study area, centered on interpretive facilities, included land both within the Natural Area and outside the fence. We expected greater benefits to accrue to the tortoises and habitat inside compared to outside. Our objectives were to conduct a demographic study, analyze and model changes in the tortoise population and habitat, and compare the effectiveness of fencing to protect populations and habitat inside the fence versus outside, where populations and habitat were unprotected. We conducted surveys in spring in each of 7 survey years from 1979, when the fence was under construction, through 2012. We compared populations inside to those outside the fence by survey year for changes in distribution, structure by size and relative age, sex ratios, death rates of adults, and causes of death for all sizes of tortoises. We used a Bayesian implementation of a Jolly Seber model for mark‐recapture data. We modeled detection, density, growth and transition of tortoises to larger size‐age classes, movements from inside the protective fence to outside and vice versa, and survival. After the second and subsequent survey years, we added surveys to monitor vegetation and habitat changes, conduct health assessments, and collect data on counts of predators and predator sign. At the beginning of the study, counts and densities for all sizes of tortoises were high, but densities were approximately 24% higher inside the fence than outside. By 2002, the low point in densities, densities had declined 90% inside the fence and 95% outside. Between 2002 and 2012, the population inside the fence showed signs of improving with a 54% increase in density. Outside the fence, densities remained low. At the end of the study, when we considered the initial differences in location, densities inside the fence were roughly 2.5 times higher than outside. The pattern of densities was similar for male and female adults. When evaluating survival by blocks of years, survivorship was higher in 1979–1989 than in 1989–2002 (the low point) and highest from 2002 to 2012. Recruitment and survival of adult females into the population was important for growing the population, but survival of all sizes, including juveniles, was also critical.</p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wmon.1052","usgsCitation":"Berry, K.H., Yee, J.L., Shields, T.A., and Stockton, L., 2020, The catastrophic decline of tortoises at a fenced natural area: Wildlife Monographs, v. 205, no. 1, p. 1-53, https://doi.org/10.1002/wmon.1052.","productDescription":"53 p.","startPage":"1","endPage":"53","ipdsId":"IP-114548","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":455757,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wmon.1052","text":"Publisher Index Page"},{"id":436835,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BY0HVH","text":"USGS data release","linkHelpText":"Demography and Habitat of Desert Tortoises at the Desert Tortoise Research Natural Area, Western Mojave Desert, California (1978 - 2014)"},{"id":436836,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BY0HVH","text":"USGS data release","linkHelpText":"Demography and Habitat of Desert Tortoises at the Desert Tortoise Research Natural Area, Western Mojave Desert, California (1978 - 2014)"},{"id":385754,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Desert Tortoise Research Natural Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.1634521484375,\n              34.97150033361733\n            ],\n            [\n              -117.3504638671875,\n              34.97150033361733\n            ],\n            [\n              -117.3504638671875,\n              35.48527461007853\n            ],\n            [\n              -118.1634521484375,\n              35.48527461007853\n            ],\n            [\n              -118.1634521484375,\n              34.97150033361733\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"205","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-08-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Berry, Kristin H. 0000-0003-1591-8394 kristin_berry@usgs.gov","orcid":"https://orcid.org/0000-0003-1591-8394","contributorId":437,"corporation":false,"usgs":true,"family":"Berry","given":"Kristin","email":"kristin_berry@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":815990,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yee, Julie L. 0000-0003-1782-157X julie_yee@usgs.gov","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":3246,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","email":"julie_yee@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":815991,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shields, Timothy A.","contributorId":190759,"corporation":false,"usgs":false,"family":"Shields","given":"Timothy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":815992,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stockton, Laura","contributorId":258217,"corporation":false,"usgs":false,"family":"Stockton","given":"Laura","email":"","affiliations":[{"id":52242,"text":"Bakersfield, CA","active":true,"usgs":false}],"preferred":false,"id":815993,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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