{"pageNumber":"264","pageRowStart":"6575","pageSize":"25","recordCount":46679,"records":[{"id":70223259,"text":"70223259 - 2020 - Juvenile Sandhill Cranes exhibit wider ranging and more exploratory movements than adults during the breeding season","interactions":[],"lastModifiedDate":"2021-09-07T16:36:12.636373","indexId":"70223259","displayToPublicDate":"2019-10-07T11:30:51","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1961,"text":"Ibis","active":true,"publicationSubtype":{"id":10}},"title":"Juvenile Sandhill Cranes exhibit wider ranging and more exploratory movements than adults during the breeding season","docAbstract":"<p><span>Sandhill Cranes&nbsp;</span><i>Antigone canadensis</i><span>&nbsp;exhibit delayed sexual maturity and breeding, and therefore juvenile Cranes searching for suitable territories to occupy have different ecological constraints on movements than adults, which must defend a territory and raise young. We used fine-scale GPS telemetry data to characterize and compare movements of adult and juvenile Cranes near the boundary between two populations in Minnesota, USA, from arrival on natal areas in the spring until staging prior to autumn migration. Juvenile and adult Cranes had marked differences in movement patterns throughout the breeding season. Juveniles were more likely than adults to display long-distance movements: they revisited areas less frequently throughout the breeding season and they had lower average residence times.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ibi.12786","usgsCitation":"Wolfson, D.W., Fieberg, J.R., and Andersen, D.E., 2020, Juvenile Sandhill Cranes exhibit wider ranging and more exploratory movements than adults during the breeding season: Ibis, v. 162, no. 2, p. 556-562, https://doi.org/10.1111/ibi.12786.","productDescription":"7 p.","startPage":"556","endPage":"562","ipdsId":"IP-101350","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":458626,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ibi.12786","text":"Publisher Index Page"},{"id":388888,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96,\n              46\n            ],\n            [\n              -93,\n              46\n            ],\n            [\n              -93,\n              48\n            ],\n            [\n              -96,\n              48\n            ],\n            [\n              -96,\n              46\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"162","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-11-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Wolfson, David W.","contributorId":264451,"corporation":false,"usgs":false,"family":"Wolfson","given":"David","email":"","middleInitial":"W.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":821540,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fieberg, John R.","contributorId":264453,"corporation":false,"usgs":false,"family":"Fieberg","given":"John","email":"","middleInitial":"R.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":821541,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":199408,"corporation":false,"usgs":true,"family":"Andersen","given":"David","email":"dea@usgs.gov","middleInitial":"E.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":821539,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70208107,"text":"70208107 - 2020 - Framework for monitoring shrubland community integrity in California Mediterranean type ecosystems: Information for policy makers and land managers","interactions":[],"lastModifiedDate":"2020-01-27T19:29:20","indexId":"70208107","displayToPublicDate":"2019-09-30T19:27:30","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Framework for monitoring shrubland community integrity in California Mediterranean type ecosystems: Information for policy makers and land managers","docAbstract":"Shrublands in Mediterranean‐type ecosystems worldwide support important ecosystem services including high levels of biodiversity and are threatened by multiple factors in heavily used landscapes. Use, conservation, and management of these landscapes involve diverse stakeholders, making decision processes complex. To be effective, management and land use decisions should be informed by current information on ecosystem quality and resilience. However, obtaining this information is often a challenge due to the extent of landscapes involved. Here we present a conceptual integrity monitoring framework based on simple easily observable ecosystem components readily understood by nonspecialists. Community integrity is defined by plant functional group based on relative proportion of shrubs and nonnative annual grasses. The ability to use these straightforward metrics results from four factors: relatively good alignment of characteristic bird, mammal, and insect communities with shrub cover, positive feedback between annual grasses and short fire intervals, the inhibitory effect of annual grasses on shrub seedling establishment, and similar functional group response to different disturbances. Two additional metrics, indicator species and shrub species diversity, capture subtle yet persistent signatures of disturbance on integrity not reflected in functional group composition. The framework is designed to: categorize habitats into ecosystem integrity classes, forecast likely integrity class changes caused by threats and environmental conditions, and provide a simple reporting mechanism that can be overlain with data on conservation status and vulnerabilities. The proposed framework includes a pilot phase to validate empirical relationships, thresholds, and sampling efficiency. The accessibility of these metrics to nonspecialists is anticipated to enhance communication among stakeholders and thus facilitate problem solving. Leveraging monitoring and mapping programs driven by other needs (e.g., species conservation and fire management) affords meaningful opportunities to offset program costs.","language":"English","publisher":"Wiley","doi":"10.1111/csp2.109","usgsCitation":"Lawson, D.M., and Keeley, J., 2020, Framework for monitoring shrubland community integrity in California Mediterranean type ecosystems: Information for policy makers and land managers: Conservation Science and Practice, v. 1, no. 11, e109, https://doi.org/10.1111/csp2.109.","productDescription":"e109","ipdsId":"IP-104457","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":458636,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.109","text":"Publisher Index Page"},{"id":371618,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.59765625,\n              32.509761735919426\n            ],\n            [\n              -115.224609375,\n              32.879587173066305\n            ],\n            [\n              -114.3896484375,\n              33.17434155100208\n            ],\n            [\n              -114.12597656249999,\n              34.63320791137959\n            ],\n            [\n              -119.7509765625,\n              38.71980474264237\n            ],\n            [\n              -119.88281249999999,\n              42.06560675405716\n            ],\n            [\n              -124.45312499999999,\n              42.261049162113856\n            ],\n            [\n              -124.892578125,\n              40.01078714046552\n            ],\n            [\n              -122.9150390625,\n              36.77409249464195\n            ],\n            [\n              -120.673828125,\n              33.7243396617476\n            ],\n            [\n              -117.59765625,\n              32.509761735919426\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"1","issue":"11","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Lawson, Dawn M.","contributorId":221847,"corporation":false,"usgs":false,"family":"Lawson","given":"Dawn","email":"","middleInitial":"M.","affiliations":[{"id":40440,"text":"U.S. Navy's NIWC, Environmental Sciences Branch, San Diego, CA","active":true,"usgs":false}],"preferred":false,"id":780489,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keeley, Jon 0000-0002-4564-6521","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":216485,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780488,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70205897,"text":"70205897 - 2020 - The long-term effects of Hurricanes Wilma and Irma on soil elevation change in Everglades mangrove forests","interactions":[],"lastModifiedDate":"2020-08-27T15:34:20.952019","indexId":"70205897","displayToPublicDate":"2019-09-27T13:00:35","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"The long-term effects of Hurricanes Wilma and Irma on soil elevation change in Everglades mangrove forests","docAbstract":"Mangrove forests in the Florida Everglades (USA) are frequently affected by hurricanes that produce high-velocity winds, storm surge, and extreme rainfall, but also provide sediment subsidies that help mangroves adjust to sea-level rise. The long-term influence of hurricane sediment inputs on soil elevation dynamics in mangrove forests are not well understood. Here, we assessed the effects of sediment deposition during Hurricanes Wilma (2005) and Irma (2017) on soil elevation change at two mangrove forests located along the Shark and Lostmans Rivers in Everglades National Park. We used surface elevation change data from a sixteen-year period (2002-2018), measured with the surface elevation table-marker horizon (SET-MH) approach. At the Shark River mangrove forest, we used marker horizons and a combination of deep, shallow, and original SETs to quantify the contributions of four soil zones to net soil elevation change. Rates of elevation change were greatly influenced by storm sediments. Abrupt increases in elevation due to sediment inputs and subsurface expansion during Hurricane Wilma were followed by: (1) an initial post-hurricane period of elevation loss due to erosion of hurricane sediments and subsurface contraction; (2) a secondary period of elevation gain due primarily to accretion; and (3) an abrupt elevation gain due to new sediment inputs during Hurricane Irma. Our findings suggest that elevation change in hurricane-affected mangrove forests can be cyclical or include disjunct phases, which is critical information for advancing the understanding of wetland responses to accelerated sea-level rise given the expectation of increasing storm intensity due to climate change.","language":"English","publisher":"Springer","doi":"10.1007/s10021-019-00446-x","usgsCitation":"Feher, L., Osland, M., Anderson, G., Vervaeke, W., Krauss, K., Whelan, K.R., Balentine, K.M., Tiling-Range, G., Smith, T.J., and Cahoon, D., 2020, The long-term effects of Hurricanes Wilma and Irma on soil elevation change in Everglades mangrove forests: Ecosystems, v. 23, p. 917-931, https://doi.org/10.1007/s10021-019-00446-x.","productDescription":"15 p.","startPage":"917","endPage":"931","ipdsId":"IP-106930","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":437214,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7348HNP","text":"USGS data release","linkHelpText":"Everglades National Park sediment elevation and marker horizon data release"},{"id":368172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.8316650390625,\n              25.02090651422749\n            ],\n            [\n              -80.1947021484375,\n              25.02090651422749\n            ],\n            [\n              -80.1947021484375,\n              26.165298896316042\n            ],\n            [\n              -81.8316650390625,\n              26.165298896316042\n            ],\n            [\n              -81.8316650390625,\n              25.02090651422749\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"23","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Feher, Laura 0000-0002-5983-6190","orcid":"https://orcid.org/0000-0002-5983-6190","contributorId":219649,"corporation":false,"usgs":true,"family":"Feher","given":"Laura","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":772798,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Osland, Michael 0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":219650,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":772799,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Gordon 0000-0003-1675-8329","orcid":"https://orcid.org/0000-0003-1675-8329","contributorId":219651,"corporation":false,"usgs":true,"family":"Anderson","given":"Gordon","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":772800,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vervaeke, William 0000-0002-1518-5197","orcid":"https://orcid.org/0000-0002-1518-5197","contributorId":219652,"corporation":false,"usgs":true,"family":"Vervaeke","given":"William","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":772801,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krauss, Ken 0000-0003-2195-0729","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":219653,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":772802,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whelan, Kevin R. T.","contributorId":219654,"corporation":false,"usgs":false,"family":"Whelan","given":"Kevin","email":"","middleInitial":"R. T.","affiliations":[{"id":35400,"text":"U.S National Park Service","active":true,"usgs":false}],"preferred":false,"id":772803,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Balentine, Karen M.","contributorId":219655,"corporation":false,"usgs":false,"family":"Balentine","given":"Karen","email":"","middleInitial":"M.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":772804,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tiling-Range, Ginger","contributorId":219656,"corporation":false,"usgs":false,"family":"Tiling-Range","given":"Ginger","email":"","affiliations":[{"id":40042,"text":"National Marine Fisheries Service (contracted through Jamison Professional Services)","active":true,"usgs":false}],"preferred":false,"id":772805,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smith, Thomas J. tom_j_smith@usgs.gov","contributorId":139562,"corporation":false,"usgs":true,"family":"Smith","given":"Thomas","email":"tom_j_smith@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":772806,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cahoon, Donald R. 0000-0002-2591-5667","orcid":"https://orcid.org/0000-0002-2591-5667","contributorId":219657,"corporation":false,"usgs":true,"family":"Cahoon","given":"Donald","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":772807,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70208624,"text":"70208624 - 2020 - An integrative GIS approach to analyzing the impacts of septic systems on the coast of Florida, USA","interactions":[],"lastModifiedDate":"2020-10-12T16:35:27.730944","indexId":"70208624","displayToPublicDate":"2019-09-27T09:49:56","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3059,"text":"Physical Geography","active":true,"publicationSubtype":{"id":10}},"title":"An integrative GIS approach to analyzing the impacts of septic systems on the coast of Florida, USA","docAbstract":"<p><span>An estimated 2.7 million septic systems in Florida, USA are potential ground and surface water contaminant sources that may affect environmental and human health. This study examined the spatial distribution of septic systems, coastal surface water contamination, and related environmental factors of coastal Florida watersheds at the 8-digit hydrologic unit code level. Hydrology,&nbsp;</span><i>in situ</i><span>&nbsp;sampling data, and other ancillary data were combined in a geographic information system to examine spatial relationships. Spatial distribution data were correlated to nitrogen, Enterococci counts, and beach closures tabulated since 2000, 2007, and 2012. Significant positive correlations (α&nbsp;=&nbsp;0.05) with nitrogen and Enterococci counts were consistent for percent agricultural cover, percent combined urban and agricultural cover, septic tank density, population density, and septic tank density in poorly drained soils. Beach closures since 2012 were significantly positively correlated (α&nbsp;=&nbsp;0.05) to average impervious cover (IC) and percent urbanization. Statistics indicated that Enterococci counts, nitrogen, and beach closures may be related to specific environmental factors and septic tank densities. The combination of septic tanks in urban regions with high IC prone to elevated runoff could also be a factor in surface water contamination. Data availability was also highlighted as a limitation due to infrequent spatial and temporal sampling.</span></p>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/02723646.2019.1671297","usgsCitation":"Flanagan, K., Dixon, B., Rivenbark, T., and Griffin, D.W., 2020, An integrative GIS approach to analyzing the impacts of septic systems on the coast of Florida, USA: Physical Geography, v. 41, no. 5, p. 407-432, https://doi.org/10.1080/02723646.2019.1671297.","productDescription":"26 p.","startPage":"407","endPage":"432","ipdsId":"IP-093655","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":372499,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Florida","active":true,"usgs":false}],"preferred":false,"id":782796,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Griffin, Dale W. 0000-0003-1719-5812 dgriffin@usgs.gov","orcid":"https://orcid.org/0000-0003-1719-5812","contributorId":2178,"corporation":false,"usgs":true,"family":"Griffin","given":"Dale","email":"dgriffin@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":782793,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70222333,"text":"70222333 - 2020 - Designing flows to enhance ecosystem functioning in heavily altered rivers","interactions":[],"lastModifiedDate":"2021-07-22T15:32:32.935079","indexId":"70222333","displayToPublicDate":"2019-09-19T10:21:05","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Designing flows to enhance ecosystem functioning in heavily altered rivers","docAbstract":"<p><span>More than a century of dam construction and water development in the western United States has led to extensive ecological alteration of rivers. Growing interest in improving river function is compelling practitioners to consider ecological restoration when managing dams and water extraction. We developed an Ecological Response Model (ERM) for the Cache la Poudre River, northern Colorado, USA, to illuminate effects of current and possible future water management and climate change. We used empirical data and modeled interactions among multiple ecosystem components to capture system-wide insights not possible with the unintegrated models commonly used in environmental assessments. The ERM results showed additional flow regime modification would further alter the structure and function of Poudre River aquatic and riparian ecosystems due to multiple and interacting stressors. Model predictions illustrated that specific peak flow magnitudes in spring and early summer are critical for substrate mobilization, dynamic channel morphology, and overbank flows, with strong subsequent effects on instream and riparian biota that varied seasonally and spatially, allowing exploration of nuanced management scenarios. Instream biological indicators benefitted from higher and more stable base flows and high peak flows, but stable base flows with low peak flows were only half as effective to increase indicators. Improving base flows while reducing peak flows, as currently proposed for the Cache la Poudre River, would further reduce ecosystem function. Modeling showed that even presently depleted annual flow volumes can achieve substantially different ecological outcomes in designed flow scenarios, while still supporting social demands. Model predictions demonstrated that implementing designed flows in a natural pattern, with attention to base and peak flows, may be needed to preserve or improve ecosystem function of the Poudre River. Improved regulatory policies would include preservation of ecosystem-level, flow-related processes and adaptive management when water development projects are considered.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2005","usgsCitation":"Bestgen, K.R., Poff, N.L., Baker, D.W., Bledsoe, B.P., Merritt, D.M., Lorie, M., Auble, G.T., Sanderson, J.S., and Kondratieff, B.C., 2020, Designing flows to enhance ecosystem functioning in heavily altered rivers: Ecological Applications, v. 30, no. 1, e02005, 19 p., https://doi.org/10.1002/eap.2005.","productDescription":"e02005, 19 p.","ipdsId":"IP-104612","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":458644,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.2005","text":"Publisher Index Page"},{"id":387388,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Cache la Poudre River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.029052734375,\n              40.32351403031129\n            ],\n            [\n              -104.48272705078124,\n              40.32351403031129\n            ],\n            [\n              -104.48272705078124,\n              40.81796653313175\n            ],\n            [\n              -106.029052734375,\n              40.81796653313175\n            ],\n            [\n              -106.029052734375,\n              40.32351403031129\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"30","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-10-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Bestgen, Kevin R. 0000-0001-8691-2227","orcid":"https://orcid.org/0000-0001-8691-2227","contributorId":171573,"corporation":false,"usgs":false,"family":"Bestgen","given":"Kevin","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":819651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poff, N. LeRoy","contributorId":261271,"corporation":false,"usgs":false,"family":"Poff","given":"N.","email":"","middleInitial":"LeRoy","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":819652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baker, Daniel W","contributorId":261272,"corporation":false,"usgs":false,"family":"Baker","given":"Daniel","email":"","middleInitial":"W","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":819654,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bledsoe, Brian P.","contributorId":140605,"corporation":false,"usgs":false,"family":"Bledsoe","given":"Brian","email":"","middleInitial":"P.","affiliations":[{"id":13538,"text":"Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":819653,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Merritt, David M.","contributorId":192229,"corporation":false,"usgs":false,"family":"Merritt","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":24595,"text":"USDA Forest Service, Fort Collins CO","active":true,"usgs":false}],"preferred":false,"id":819655,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lorie, Mark","contributorId":172964,"corporation":false,"usgs":false,"family":"Lorie","given":"Mark","email":"","affiliations":[],"preferred":false,"id":819749,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Auble, Gregor T. 0000-0002-0843-2751 aubleg@usgs.gov","orcid":"https://orcid.org/0000-0002-0843-2751","contributorId":2187,"corporation":false,"usgs":true,"family":"Auble","given":"Gregor","email":"aubleg@usgs.gov","middleInitial":"T.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":819656,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sanderson, John S.","contributorId":210638,"corporation":false,"usgs":false,"family":"Sanderson","given":"John","email":"","middleInitial":"S.","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":819657,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kondratieff, Boris C.","contributorId":24868,"corporation":false,"usgs":false,"family":"Kondratieff","given":"Boris","email":"","middleInitial":"C.","affiliations":[{"id":17860,"text":"Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":819658,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70209105,"text":"70209105 - 2020 - Apatite trace element geochemistry and cathodoluminescent textures—Acomparison between regional magmatism and the Pea Ridge IOA-REE andBoss IOCG deposits, southeastern Missouri iron metallogenic province, USA","interactions":[],"lastModifiedDate":"2020-03-16T16:43:43","indexId":"70209105","displayToPublicDate":"2019-09-17T16:37:30","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2954,"text":"Ore Geology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Apatite trace element geochemistry and cathodoluminescent textures—Acomparison between regional magmatism and the Pea Ridge IOA-REE andBoss IOCG deposits, southeastern Missouri iron metallogenic province, USA","docAbstract":"The southeast Missouri iron metallogenic province contains a remarkable wealth of historically important Fe, Cu, Au, and rare earth element (REE) deposits including the Pea Ridge iron oxide-apatite-rare earth element (IOA-REE) deposit and the Boss iron oxide-copper-gold (IOCG) deposit. These deposits are coeval with silicic and intermediate composition magmatism in the St. Francois Mountains terrane. Magmatism, iron-oxide (±Cu, Au, Co) and apatite formation, and REE mineralization overlapped in space and time, but the specific role of regional magmatism in the metallogenesis of these deposits remains unclear and basic petrogenetic models are still debated. \nWe report results from high-spatial resolution textural and geochemical analyses of apatite from regional igneous and ore rocks to elucidate their petrogenetic histories and evaluate deposit models. Backscattered electron and spectral cathodoluminescence imaging of apatite reveal no primary igneous zoning, but show different domains with intricate rims and dissolution/reprecipitation textures, each with distinctive REE patterns in many samples. Apatite from all samples are nearly endmember fluorapatite containing up to ~1.3 wt% Cl and F/Cl ratios span nearly three orders of magnitude. Fresh igneous fluorapatite contain low Na2O (0.15 wt%) while most Pea Ridge ore samples contain higher Na2O (up to ~0.45 wt%), and concentrations of sulfur in fluorapatite of all types are generally moderate to low (0.3 wt% SO3). Significant amounts of Fe (60,000 ppm), Mg (30,000 ppm), Mn (7,000 ppm), and Sr (12,000 ppm) are contained in fluorapatite of all sample types, and they also have moderate amounts of As (4,000 ppm), Ba (2,000 ppm), Th (400 ppm), and U (80 ppm). Fluorapatite show an extraordinarily large range of  REE (~0.1-2.0 wt%) and Y (~100-7000 ppm) concentrations. While fresh igneous fluorapatite share many geochemical features with metasomatized igneous fluorapatite and ore-stage fluorapatite from the Pea Ridge IOA and Boss IOCG ore zones, they also have distinct geochemical signatures that are indicative of unique trace element partitioning and substitution mechanisms. These distinguishing textural and geochemical signatures preclude ore-zone fluorapatite genesis directly from a magma (i.e., crystallization directly from a silicate melt) but are permissive of ore-zone fluorapatite formation by magmatic-hydrothermal fluids derived from the regional magmas. Basinal brines may play an important role in the formation of fluorapatite, especially from the Pea Ridge hematite and Boss magnetite-rich zones. Fluorapatite from different ore zones likely formed by crystallization during pulses of hydrothermal fluids with varying Cl-, Na-, and F-contents, which fundamentally controlled the carrying capacity and solubility of REE+Y and generated geochemically distinctive generations of fluorapatite.  \nExploration geologists using fluorapatite trace element geochemistry to identify IOA and IOCG deposits should proceed with caution, as more high-quality data from these deposits are needed to improve multivariate discrimination analysis. Fluorapatite from IOA/IOCG deposits can be reasonably discriminated from that of other mineral deposit types (e.g., porphyry/epithermal, skarn, orogenic), but no criteria successfully discriminate yet between IOA and IOCG deposits.","language":"English","publisher":"Elsevier","doi":"10.1016/j.oregeorev.2019.103129","usgsCitation":"Mercer, C.N., Watts, K., and Gross, J., 2020, Apatite trace element geochemistry and cathodoluminescent textures—Acomparison between regional magmatism and the Pea Ridge IOA-REE andBoss IOCG deposits, southeastern Missouri iron metallogenic province, USA: Ore Geology Reviews, v. 116, 103129, 22 p., https://doi.org/10.1016/j.oregeorev.2019.103129.","productDescription":"103129, 22 p.","ipdsId":"IP-102053","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":458647,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.oregeorev.2019.103129","text":"Publisher Index Page"},{"id":437217,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YIHMO8","text":"USGS data release","linkHelpText":"Geochemical data supporting a comparison of apatite between regional magmatism and the Pea Ridge Iron Oxide-Apatite-Rare Earth Element (IOA-REE) and Boss Iron Oxide-Copper-Cobalt-Gold-REE Deposits (IOCG) deposits, southeastern Missouri, USA"},{"id":373299,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"St. Francois Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.944580078125,\n              36.62434536776987\n            ],\n            [\n              -90.120849609375,\n              36.62434536776987\n            ],\n            [\n              -90.120849609375,\n              38.363195134453846\n            ],\n            [\n              -91.944580078125,\n              38.363195134453846\n            ],\n            [\n              -91.944580078125,\n              36.62434536776987\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"116","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mercer, Celestine N. 0000-0001-8359-4147 cmercer@usgs.gov","orcid":"https://orcid.org/0000-0001-8359-4147","contributorId":4006,"corporation":false,"usgs":true,"family":"Mercer","given":"Celestine","email":"cmercer@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":784950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watts, Kathryn E. 0000-0002-6110-7499","orcid":"https://orcid.org/0000-0002-6110-7499","contributorId":204344,"corporation":false,"usgs":true,"family":"Watts","given":"Kathryn E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":784951,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gross, Juliane 0000-0002-5288-0981","orcid":"https://orcid.org/0000-0002-5288-0981","contributorId":223401,"corporation":false,"usgs":false,"family":"Gross","given":"Juliane","email":"","affiliations":[{"id":40711,"text":"Rutgers State University of New Jersey","active":true,"usgs":false}],"preferred":false,"id":784953,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70211968,"text":"70211968 - 2020 - Late Quaternary sea-level history of Saipan, Commonwealth of the Northern Mariana Islands, USA: A test of tectonic uplift and glacial isostatic adjustment models","interactions":[],"lastModifiedDate":"2020-08-12T20:53:20.311416","indexId":"70211968","displayToPublicDate":"2019-09-17T15:50:05","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Late Quaternary sea-level history of Saipan, Commonwealth of the Northern Mariana Islands, USA: A test of tectonic uplift and glacial isostatic adjustment models","docAbstract":"<p><span>In 1979, S. Uyeda and H. Kanamori proposed a tectonic model with two end members of a subduction-boundary continuum: the “Chilean” type (shallow dip of the subducting plate, great thrust events, compression, and uplift of the overriding plate) and a “Mariana” type (steep dip of the subducting plate, no great thrust events, tension, and no uplift). This concept has been used to explain variable rates of Quaternary uplift around the Pacific Rim, yet no uplift rates have been determined for the Mariana Islands themselves, one of the end members in this model. We studied the late Quaternary Tanapag Limestone, which rims much of the eastern and southern coasts of Saipan, Northern Mariana Islands, with elevations of ∼13 m to ∼30 m. Samples from 12 well-preserved corals (</span><i>Acropora</i><span>,&nbsp;</span><i>Porites</i><span>, and&nbsp;</span><i>Goniastrea</i><span>) yielded U-series ages ranging from ca. 134 ka to ca. 126 ka. These ages correlate the emergent reef of the Tanapag Limestone with the last interglacial period, when sea level was several meters above present. Ages and measured reef elevations from the Tanapag Limestone, along with paleo–sea-level data, yield relatively low late Quaternary uplift rates of 0.002–0.19 m/k.y., consistent with the Uyeda-Kanamori model. A review of data from other localities near subduction zones around the Pacific Basin, however, indicates that many coastlines do not fit the model. Uplift rates along the Chilean coast are predicted to be relatively high, but field studies indicate they are low. On some coastlines, relatively high uplift rates are better explained by subduction of seamounts or submarine ridges rather than subduction zone geometry. Despite the low long-term uplift rate on Saipan, the island also hosts an emergent, low-elevation (+3.9–4.0 m) reef with corals in growth position below a notch (+4.2 m). The corals are dated to 3.9–3.1 ka. The occurrence of this young, emergent reef is likely not due to tectonic uplift; instead, it is interpreted to be the result of glacial isostatic adjustment processes after the end of the last glacial period. Our findings are consistent with similar observations on tectonically stable or slowly uplifting islands elsewhere in the equatorial Pacific Ocean and agree with numerical models of a higher-than-present Holocene sea level in this region due to glacial isostatic adjustment processes.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/B35162.1","usgsCitation":"Muhs, D., Schweig, E.S., and Simmons, K., 2020, Late Quaternary sea-level history of Saipan, Commonwealth of the Northern Mariana Islands, USA: A test of tectonic uplift and glacial isostatic adjustment models: Geological Society of America Bulletin, v. 132, p. 863-883, https://doi.org/10.1130/B35162.1.","productDescription":"21 p.","startPage":"863","endPage":"883","ipdsId":"IP-102631","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":377440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Northern Mariana Islands, Saipan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              145.79887390136716,\n              15.166914868426344\n            ],\n            [\n              145.78445434570312,\n              15.205349599759678\n            ],\n            [\n              145.83663940429688,\n              15.268950303672504\n            ],\n            [\n              145.81260681152344,\n              15.298094191660693\n            ],\n            [\n              145.70960998535156,\n              15.223901791042142\n            ],\n            [\n              145.68214416503906,\n              15.117867306000468\n            ],\n            [\n              145.71578979492188,\n              15.097316980284674\n            ],\n            [\n              145.7549285888672,\n              15.088698509791715\n            ],\n            [\n              145.79887390136716,\n              15.166914868426344\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"132","noUsgsAuthors":false,"publicationDate":"2019-09-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":168575,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel R.","email":"dmuhs@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":796005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schweig, Eugene S. 0000-0003-3669-9741 schweig@usgs.gov","orcid":"https://orcid.org/0000-0003-3669-9741","contributorId":1271,"corporation":false,"usgs":true,"family":"Schweig","given":"Eugene","email":"schweig@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":796006,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simmons, Kathleen R. 0000-0002-7920-094X","orcid":"https://orcid.org/0000-0002-7920-094X","contributorId":229460,"corporation":false,"usgs":false,"family":"Simmons","given":"Kathleen R.","affiliations":[{"id":12608,"text":"USGS, retired","active":true,"usgs":false}],"preferred":false,"id":796007,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70205814,"text":"70205814 - 2020 - Winter climate change and the poleward range expansion of a tropical invasive tree (Brazilian pepper ‐ Shinus terebinthifolius)","interactions":[],"lastModifiedDate":"2020-02-06T10:51:02","indexId":"70205814","displayToPublicDate":"2019-09-17T11:52:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Winter climate change and the poleward range expansion of a tropical invasive tree (Brazilian pepper ‐ <i>Shinus terebinthifolius</i>)","title":"Winter climate change and the poleward range expansion of a tropical invasive tree (Brazilian pepper ‐ Shinus terebinthifolius)","docAbstract":"<p><span>Winter climate change is expected to lead to the tropicalization of temperate ecosystems, where tropical species expand poleward in response to a decrease in the intensity and duration of winter temperature extremes (i.e., freeze events). In the southeastern United States, freezing temperatures control the northern range limits of many invasive non‐native species. Here, we examine the influence of freezing temperatures and winter climate change on the northern range limits of an invasive non‐native tree —&nbsp;</span><i>Schinus terebenthifolius</i><span>&nbsp;(Brazilian pepper). Since introduction in the 1800s, Brazilian pepper has invaded ecosystems throughout south and central Florida to become the state's most widespread non‐native plant species. Although Brazilian pepper is sensitive to freezing temperatures, temperature controls on its northern distribution have not been adequately quantified. We used temperature and plant occurrence data to quantify the sensitivity of Brazilian pepper to freezing temperatures. Then, we examined the potential for range expansion under three alternative future climate scenarios (+2°C, +4°C, and +6°C). Our analyses identify a strong nonlinear sigmoidal relationship between minimum temperature and Brazilian pepper presence, with a discrete threshold temperature occurring near ‐11°C. Our future scenario analyses indicate that, in response to warming winter temperatures, Brazilian pepper is expected to expand northward and transform ecosystems in north Florida and across much of the Gulf of Mexico and south Atlantic coasts of the United States. These results underscore the importance of early detection and rapid response efforts to identify and manage the northward invasion of Brazilian pepper in response to climate change. Looking more broadly, our work highlights the need to anticipate and prepare for the tropicalization of temperate ecosystems by tropical invasive species.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.14842","usgsCitation":"Osland, M., and Feher, L., 2020, Winter climate change and the poleward range expansion of a tropical invasive tree (Brazilian pepper ‐ Shinus terebinthifolius): Global Change Biology, v. 26, no. 2, p. 607-615, https://doi.org/10.1111/gcb.14842.","productDescription":"9 p.","startPage":"607","endPage":"615","ipdsId":"IP-108778","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":368005,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Georgia, South Carolina","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      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0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":205379,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":772467,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feher, Laura 0000-0002-5983-6190","orcid":"https://orcid.org/0000-0002-5983-6190","contributorId":215075,"corporation":false,"usgs":true,"family":"Feher","given":"Laura","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":772468,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70207539,"text":"70207539 - 2020 - Local abundance of Ixodes scapularis in forests: Effects of environmental moisture, vegetation characteristics, and host abundance","interactions":[],"lastModifiedDate":"2019-12-25T08:45:05","indexId":"70207539","displayToPublicDate":"2019-09-14T11:28:43","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5082,"text":"Ticks and Tick-borne Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Local abundance of <i>Ixodes scapularis</i> in forests: Effects of environmental moisture, vegetation characteristics, and host abundance","title":"Local abundance of Ixodes scapularis in forests: Effects of environmental moisture, vegetation characteristics, and host abundance","docAbstract":"<p><i>Ixodes scapularis</i><span>&nbsp;is the primary vector of Lyme disease spirochetes in eastern and central North America, and local densities of this tick can affect human disease risk. We sampled larvae and nymphs from sites in Massachusetts and Wisconsin, USA, using flag/drag devices and by collecting ticks from hosts, and measured environmental variables to evaluate the environmental factors that affect local distribution and abundance of&nbsp;</span><i>I. scapularis</i><span>. Our sites were all forested areas with known&nbsp;</span><i>I. scapularis</i><span>&nbsp;populations. Environmental variables included those associated with weather (e.g., temperature and relative humidity), vegetation characteristics (at canopy, shrub, and ground levels), and host abundance (small and medium-sized mammals and reptiles). The numbers of larvae on animals at a given site and season showed a logarithmic relationship to the numbers in flag/drag samples, suggesting limitation in the numbers on host animals. The numbers of nymphs on animals showed no relationship to the numbers in flag/drag samples. These results suggest that only a small proportion of larvae and nymphs found hosts because in neither stage did the numbers of host-seeking ticks decline with increased numbers on hosts. Canopy cover was predictive of larval and nymphal numbers in flag/drag samples, but not of numbers on hosts. Numbers of small and medium-sized mammal hosts the previous year were generally not predictive of the current year’s tick numbers, except that mouse abundance predicted log numbers of nymphs on all hosts the following year. Some measures of larval abundance were predictive of nymphal numbers the following year. The mean number of larvae per mouse was well predicted by measures of overall larval abundance (based on flag/drag samples and samples from all hosts), and some environmental factors contributed significantly to the model. In contrast, the mean numbers of nymphs per mouse were not well predicted by environmental variables, only by overall nymphal abundance on hosts. Therefore, larvae respond differently than nymphs to environmental factors. Furthermore, flag/drag samples provide different information about nymphal numbers than do samples from hosts. Flag/drag samples can provide information about human risk of acquiring nymph-borne pathogens because they provide information on the densities of ticks that might encounter humans, but to understand the epizootiology of tick-borne agents both flag/drag and host infestation data are needed.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ttbdis.2019.101271","usgsCitation":"Ginsberg, H., Rulison, E.L., Miller, J.L., Pang, G., Arsnoe, I.M., Hickling, G.J., Ogden, N.H., LeBrun, R.A., and Tsao, J.I., 2020, Local abundance of Ixodes scapularis in forests: Effects of environmental moisture, vegetation characteristics, and host abundance: Ticks and Tick-borne Diseases, v. 11, no. 1, 101271, 12 p., https://doi.org/10.1016/j.ttbdis.2019.101271.","productDescription":"101271, 12 p.","ipdsId":"IP-100963","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":458652,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://digitalcommons.uri.edu/pls_facpubs/136","text":"Publisher Index Page"},{"id":370668,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts, Wisconsin","otherGeospatial":"Cape Cod National Seashore, Fort McCoy","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.7470703125,\n              43.909765943908\n            ],\n            [\n              -90.59326171875,\n              43.909765943908\n            ],\n            [\n              -90.59326171875,\n              44.16841480642917\n            ],\n            [\n              -90.7470703125,\n              44.16841480642917\n            ],\n            [\n              -90.7470703125,\n              43.909765943908\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.23834228515625,\n              41.611335399441735\n            ],\n            [\n              -69.90600585937499,\n              41.611335399441735\n            ],\n            [\n              -69.90600585937499,\n              42.09007006868398\n            ],\n            [\n              -70.23834228515625,\n              42.09007006868398\n            ],\n            [\n              -70.23834228515625,\n              41.611335399441735\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ginsberg, Howard S. 0000-0002-4933-2466 hginsberg@usgs.gov","orcid":"https://orcid.org/0000-0002-4933-2466","contributorId":147665,"corporation":false,"usgs":true,"family":"Ginsberg","given":"Howard S.","email":"hginsberg@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":778394,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rulison, Eric L.","contributorId":87478,"corporation":false,"usgs":false,"family":"Rulison","given":"Eric","email":"","middleInitial":"L.","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":778395,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Jasmine L.","contributorId":221487,"corporation":false,"usgs":false,"family":"Miller","given":"Jasmine","email":"","middleInitial":"L.","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":778396,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pang, Genevieve","contributorId":221488,"corporation":false,"usgs":false,"family":"Pang","given":"Genevieve","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":778397,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Arsnoe, Isis M.","contributorId":140902,"corporation":false,"usgs":false,"family":"Arsnoe","given":"Isis","email":"","middleInitial":"M.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":778398,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hickling, Graham J.","contributorId":140903,"corporation":false,"usgs":false,"family":"Hickling","given":"Graham","email":"","middleInitial":"J.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":778400,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ogden, Nicholas H.","contributorId":147667,"corporation":false,"usgs":false,"family":"Ogden","given":"Nicholas","email":"","middleInitial":"H.","affiliations":[{"id":16890,"text":"Public Health Agency of Canada","active":true,"usgs":false}],"preferred":false,"id":778401,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"LeBrun, Roger A.","contributorId":70907,"corporation":false,"usgs":false,"family":"LeBrun","given":"Roger","email":"","middleInitial":"A.","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":778402,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tsao, Jean I.","contributorId":140905,"corporation":false,"usgs":false,"family":"Tsao","given":"Jean","email":"","middleInitial":"I.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":778399,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70240961,"text":"70240961 - 2020 - Geoacoustic inversion for a New England mud patch sediment using the silt-suspension theory of marine mud","interactions":[],"lastModifiedDate":"2023-03-02T16:34:20.050478","indexId":"70240961","displayToPublicDate":"2019-09-13T10:28:52","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1941,"text":"IEEE Journal of Oceanic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Geoacoustic inversion for a New England mud patch sediment using the silt-suspension theory of marine mud","docAbstract":"<p><span>This article provides an application of the silt-suspension theory to a Bayesian-inference inversion for the geo-acoustic parameters in marine mud. The theory, with consequences that have been developed recently, postulates a suspension of water and clay mineral card-houses that supports moderately dilute concentrations of silt particles. The approach is an example of a physically based model inversion, in which parameters representing physical mud-layer properties are obtained by inversion and used to produce estimates of geoacoustic properties, including their frequency dependence. The acoustic data are from a combustive source signal propagated along a track, located over several meters of fine-grained mud in the New England Mud Patch, to a single hydrophone on a receiver array during the 2017 Seabed Characterization Experiment. Data extracted from a nearby piston core inform the physical modeling, with selections of inversion parameters guided by both sensitivity analyses and bounds from archival and core measurements. Results show the feasibility of this inversion approach. The estimates of mud density and sound speed are close to values obtained independently. The frequency dependence of attenuation is estimated over the full low-frequency source band and has an approximate power exponent of 1.72.</span></p>","language":"English","publisher":"IEEE","doi":"10.1109/JOE.2019.2934604","usgsCitation":"Brown, E.M., Lin, Y., Chaytor, J., and Siegmann, W.L., 2020, Geoacoustic inversion for a New England mud patch sediment using the silt-suspension theory of marine mud: IEEE Journal of Oceanic Engineering, v. 45, no. 1, p. 144-160, https://doi.org/10.1109/JOE.2019.2934604.","productDescription":"17 p.","startPage":"144","endPage":"160","ipdsId":"IP-106813","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":413624,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brown, Elisabeth M.","contributorId":302803,"corporation":false,"usgs":false,"family":"Brown","given":"Elisabeth","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":865499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lin, Ying-Tsong","contributorId":302804,"corporation":false,"usgs":false,"family":"Lin","given":"Ying-Tsong","email":"","affiliations":[],"preferred":false,"id":865500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chaytor, Jason 0000-0001-8135-8677 jchaytor@usgs.gov","orcid":"https://orcid.org/0000-0001-8135-8677","contributorId":140095,"corporation":false,"usgs":true,"family":"Chaytor","given":"Jason","email":"jchaytor@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":865501,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Siegmann, William L.","contributorId":302805,"corporation":false,"usgs":false,"family":"Siegmann","given":"William","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":865502,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70206074,"text":"70206074 - 2020 - Historical changes in fish communities in urban streams of the southeastern U.S. and the relative importance of water-quality stressors","interactions":[],"lastModifiedDate":"2020-01-05T14:01:25","indexId":"70206074","displayToPublicDate":"2019-09-04T10:54:50","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Historical changes in fish communities in urban streams of the southeastern U.S. and the relative importance of water-quality stressors","docAbstract":"A total of 71 stream sites representing a gradient of urban land use was sampled across the Piedmont of the southeastern U.S. in 2014.  Fish data collected (observed) at each site were compared to an expected community based on georeferenced historical (~1950 - ~1990) species occurrence records for stream segments (1:100,000 scale) containing the sampled stream sites.  Loss of expected fish species (percent of fish species expected to occur but not observed) and homogenization (difference in Jaccard’s similarity of the fish community among sites observed and expected) were determined.  On average, there was a 13.2% increase in the similarity of fish communities across sites, demonstrating evidence of community homogenization.  Occurrence of Redbreast Sunfish (Lepomis auritus), Green Sunfish (L. cyanellus), and Bluegill (L. macrochirus) increased more than 50% over time (between observed and expected).  Species loss increased significantly with urbanization whereas homogenization was not related to urbanization.  Random forest analysis indicated that herbicides, insecticides, and centrarchid species richness were significant predictors of species loss.  Of these, generalized additive model regression indicated that herbicides represented the most parsimonious model based on a single predictor.  Stream base flow, elevation, and total nitrogen were significant predictors of homogenization.  Generalized additive model regression indicated that decreased stream base flow was the single most important factor associated with increased homogenization.  Chemical contaminants and associated ecosystem alteration and changes in stream flow may represent important regional influences on changes in fish communities in urban streams in the southeastern U.S.","language":"English","publisher":"Wiley","doi":"10.1111/eff.12503","usgsCitation":"Meador, M.R., 2020, Historical changes in fish communities in urban streams of the southeastern U.S. and the relative importance of water-quality stressors: Ecology of Freshwater Fish, v. 29, no. 1, p. 156-169, https://doi.org/10.1111/eff.12503.","productDescription":"14 p.","startPage":"156","endPage":"169","ipdsId":"IP-092961","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":368448,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States ","state":"Alabama, Georgia, North Carolina, South Carolina, Tennessee, Virginia, Washington DC.","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.431396484375,\n              39.487084981687495\n            ],\n            [\n              -79.266357421875,\n              38.70265930723801\n            ],\n            [\n              -79.771728515625,\n              38.634036452919226\n            ],\n            [\n              -80.343017578125,\n              37.90953361677018\n            ],\n            [\n              -80.628662109375,\n              37.58811876638322\n            ],\n            [\n              -81.090087890625,\n              37.49229399862877\n            ],\n            [\n              -81.89208984375,\n              37.52715361723378\n            ],\n            [\n              -84.1552734375,\n              36.65079252503471\n            ],\n            [\n              -85.60546875,\n              34.994003757575776\n            ],\n            [\n              -86.5283203125,\n              33.137551192346145\n            ],\n            [\n              -87.29736328125,\n              32.0639555946604\n            ],\n            [\n              -85.10009765625,\n              31.690781806136822\n            ],\n            [\n              -83.78173828125,\n              32.1570124860701\n            ],\n            [\n              -81.9580078125,\n              33.46810795527896\n            ],\n            [\n              -80.947265625,\n              33.797408767572485\n            ],\n            [\n              -80.04638671875,\n              34.17999758688084\n            ],\n            [\n              -79.60693359375,\n              34.867904962568716\n            ],\n            [\n              -78.22265625,\n              35.7286770448517\n            ],\n            [\n              -77.113037109375,\n              36.54494944148322\n            ],\n            [\n              -77.16796875,\n              37.96152331396614\n            ],\n            [\n              -76.849365234375,\n              38.92522904714054\n            ],\n            [\n              -77.18994140625,\n              39.06184913429154\n            ],\n            [\n              -77.991943359375,\n              38.496593518947584\n            ],\n            [\n              -77.82714843749999,\n              39.13006024213511\n            ],\n            [\n              -78.431396484375,\n              39.487084981687495\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"29","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Meador, Michael R. 0000-0001-5956-3340 mrmeador@usgs.gov","orcid":"https://orcid.org/0000-0001-5956-3340","contributorId":219878,"corporation":false,"usgs":true,"family":"Meador","given":"Michael","email":"mrmeador@usgs.gov","middleInitial":"R.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":773484,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70263567,"text":"70263567 - 2020 - Regional Global Navigation Satellite System networks for crustal deformation monitoring","interactions":[],"lastModifiedDate":"2025-02-13T16:47:47.502631","indexId":"70263567","displayToPublicDate":"2019-09-04T10:45:18","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Regional Global Navigation Satellite System networks for crustal deformation monitoring","docAbstract":"<p><span>Regional networks of Global Navigation Satellite System (GNSS) stations cover seismically and volcanically active areas throughout the United States. Data from these networks have been used to produce high‐precision, three‐component velocity fields covering broad geographic regions as well as position time series that track time‐varying crustal deformation. This information has contributed to assessing interseismic strain accumulation and related seismic hazard, revealed previously unknown occurrences of aseismic fault slip, constrained coseismic slip estimates, and enabled monitoring of volcanic unrest and postseismic deformation. In addition, real‐time GNSS data are now widely available. Such observations proved invaluable for tracking the rapidly evolving eruption of Kīlauea in 2018. Real‐time earthquake source modeling using GNSS data is being incorporated into tsunami warning systems, and a vigorous research effort is focused on quantifying the contribution that real‐time GNSS can make to improve earthquake early warnings as part of the Advanced National Seismic System ShakeAlert system. Real‐time GNSS data can also aid in the tracking of ionospheric disturbances and precipitable water vapor for weather forecasting. Although regional GNSS and seismic networks generally have been established independently, their spatial footprints often overlap, and in some cases the same institution operates both types of networks. Further integration of GNSS and seismic networks would promote joint use of the two data types to better characterize earthquake sources and ground motion as well as offer opportunities for more efficient network operations. Looking ahead, upgrading network stations to leverage new GNSS technology could enable more precise positioning and robust real‐time operations. New computational approaches such as machine learning have the potential to enable full utilization of the large amounts of data generated by continuous GNSS networks. Development of seafloor Global Positioning System‐acoustic networks would provide unique information for fundamental and applied research on subduction zone seismic hazard and, potentially, monitoring.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220190113","usgsCitation":"Murray, J.R., Bartlow, N., Bock, Y., Brooks, B.A., Foster, J.H., Freymueller, J.T., Hammond, W.C., Hodgkinson, K., Johanson, I.A., Lopez-Venegas, A., Mann, D., Mattioli, G., Melbourne, T., Mencin, D., Montgomery-Brown, E.K., Murray, M.H., Smalley, R., and Thomas, V., 2020, Regional Global Navigation Satellite System networks for crustal deformation monitoring: Seismological Research Letters, v. 91, no. 2A, p. 552-572, https://doi.org/10.1785/0220190113.","productDescription":"21 p.","startPage":"552","endPage":"572","ipdsId":"IP-108083","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":482039,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"91","issue":"2A","noUsgsAuthors":false,"publicationDate":"2019-09-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Murray, Jessica R. 0000-0002-6144-1681 jrmurray@usgs.gov","orcid":"https://orcid.org/0000-0002-6144-1681","contributorId":2759,"corporation":false,"usgs":true,"family":"Murray","given":"Jessica","email":"jrmurray@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927348,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartlow, Noel 0000-0002-9961-5608","orcid":"https://orcid.org/0000-0002-9961-5608","contributorId":242895,"corporation":false,"usgs":false,"family":"Bartlow","given":"Noel","email":"","affiliations":[{"id":6773,"text":"University of Kansas","active":true,"usgs":false}],"preferred":false,"id":927349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bock, Yehuda 0000-0001-8296-6623","orcid":"https://orcid.org/0000-0001-8296-6623","contributorId":350938,"corporation":false,"usgs":false,"family":"Bock","given":"Yehuda","affiliations":[{"id":83883,"text":"University of California San Diego Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":927350,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brooks, Benjamin A. 0000-0001-7954-6281 bbrooks@usgs.gov","orcid":"https://orcid.org/0000-0001-7954-6281","contributorId":5237,"corporation":false,"usgs":true,"family":"Brooks","given":"Benjamin","email":"bbrooks@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927351,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Foster, James H.","contributorId":244553,"corporation":false,"usgs":false,"family":"Foster","given":"James","email":"","middleInitial":"H.","affiliations":[{"id":48939,"text":"Hawaii Institute of Geophysics and Planetology, University of Hawaii at Manoa, HI, USA","active":true,"usgs":false}],"preferred":false,"id":927352,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Freymueller, Jeffery T. 0000-0003-0614-0306","orcid":"https://orcid.org/0000-0003-0614-0306","contributorId":244609,"corporation":false,"usgs":false,"family":"Freymueller","given":"Jeffery","email":"","middleInitial":"T.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":927353,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hammond, William C.","contributorId":73735,"corporation":false,"usgs":true,"family":"Hammond","given":"William","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":927354,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hodgkinson, Kathleen 0000-0001-8529-0913","orcid":"https://orcid.org/0000-0001-8529-0913","contributorId":209915,"corporation":false,"usgs":false,"family":"Hodgkinson","given":"Kathleen","email":"","affiliations":[{"id":38024,"text":"UNAVCO Inc.","active":true,"usgs":false}],"preferred":false,"id":927355,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johanson, Ingrid A. 0000-0002-6049-2225","orcid":"https://orcid.org/0000-0002-6049-2225","contributorId":215613,"corporation":false,"usgs":true,"family":"Johanson","given":"Ingrid","email":"","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science 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0000-0002-9117-7471","orcid":"https://orcid.org/0000-0002-9117-7471","contributorId":350941,"corporation":false,"usgs":false,"family":"Mattioli","given":"Glen","affiliations":[{"id":83886,"text":"UNAVCO, Inc.","active":true,"usgs":false}],"preferred":false,"id":927359,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Melbourne, Timothy 0000-0003-1870-3962","orcid":"https://orcid.org/0000-0003-1870-3962","contributorId":209916,"corporation":false,"usgs":false,"family":"Melbourne","given":"Timothy","email":"","affiliations":[{"id":26935,"text":"Central Washington University","active":true,"usgs":false}],"preferred":false,"id":927360,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Mencin, David 0000-0001-9984-6724","orcid":"https://orcid.org/0000-0001-9984-6724","contributorId":328836,"corporation":false,"usgs":false,"family":"Mencin","given":"David","email":"","affiliations":[{"id":5114,"text":"UNAVCO","active":true,"usgs":false}],"preferred":false,"id":927361,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Montgomery-Brown, Emily K. 0000-0001-6787-2055","orcid":"https://orcid.org/0000-0001-6787-2055","contributorId":214074,"corporation":false,"usgs":true,"family":"Montgomery-Brown","given":"Emily","email":"","middleInitial":"K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":927362,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Murray, Mark Hunter 0000-0003-4862-5547","orcid":"https://orcid.org/0000-0003-4862-5547","contributorId":300982,"corporation":false,"usgs":true,"family":"Murray","given":"Mark","email":"","middleInitial":"Hunter","affiliations":[{"id":237,"text":"Earthquake 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,{"id":70208108,"text":"70208108 - 2020 - A range-wide model of contemporary, omnidirectional connectivity for the threatened Mojave desert tortoise","interactions":[],"lastModifiedDate":"2020-01-27T19:26:20","indexId":"70208108","displayToPublicDate":"2019-09-03T19:22:52","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"A range-wide model of contemporary, omnidirectional connectivity for the threatened Mojave desert tortoise","docAbstract":"As habitat destruction leads to species extinctions globally, conservation planning that accounts for population-level connectivity and gene flow is an urgent priority. Models that only approximate habitat potential are incomplete because areas of high habitat potential may be isolated, whereas intermixed areas of lower habitat potential may still be critical for maintaining connectivity between and among populations. We developed a range-wide, omnidirectional (‘coreless’) connectivity model and map for the threatened Mojave desert tortoise at a high spatial resolution (30 m), based on empirical movement data and a circuit-theoretic approach to estimating connectivity. Specifically, we first estimated habitat potential (i.e., quality) for tortoise movement (as distinct from habitat potential more generally) across its range using hypotheses based on the published literature, linear mixed models, multiple environmental factors derived from remotely sensed data, and recent solar and wind development footprints. The resultant raster output was used to represent landscape conductance in a circuit-theoretic model of connectivity, which relates the flow of electrical current through a circuit to the movement of tortoises through the landscape. We then modeled potential connectivity across the range of the tortoise using Circuitscape software and the Julia numerical programming language. Intermediate distances from minor roads, intermediate values of annual average maximum temperature, and increasing density of desert washes were among the strongest predictors of movement habitat quality. There was also strong evidence for increased habitat quality for movement with increasing amounts of vegetation cover. The resulting connectivity model and map was determined to accurately reflect important areas for tortoise movement, but we encourage others to do their own evaluation of the model within local areas of interest and as more data become available.  Accordingly, the map can provide an important component to improve management decisions that have the potential to influence the conservation of connected desert tortoise populations throughout the range.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2847","usgsCitation":"Gray, M.E., Dickson, B.G., Nussear, K., Esque, T., and Chang, T., 2020, A range-wide model of contemporary, omnidirectional connectivity for the threatened Mojave desert tortoise: Ecosphere, v. 10, no. 9, e02847, https://doi.org/10.1002/ecs2.2847.","productDescription":"e02847","ipdsId":"IP-109686","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":458676,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2847","text":"Publisher Index Page"},{"id":371617,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mojave Desert ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.3946533203125,\n              33.65578083204094\n            ],\n            [\n              -114.70275878906249,\n              33.280027811732154\n            ],\n            [\n              -114.40612792968749,\n              35.14686290675633\n            ],\n            [\n              -115.77941894531249,\n              35.92464453144099\n            ],\n            [\n              -116.70227050781249,\n              35.420391545750746\n            ],\n            [\n              -117.32299804687499,\n              34.985003130171066\n            ],\n            [\n              -116.83959960937499,\n              34.347971491244955\n            ],\n            [\n              -116.3946533203125,\n              33.65578083204094\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"9","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Gray, Miranda E","contributorId":221848,"corporation":false,"usgs":false,"family":"Gray","given":"Miranda","email":"","middleInitial":"E","affiliations":[{"id":40441,"text":"Conservation Science Partners, Truckee, CA","active":true,"usgs":false}],"preferred":false,"id":780491,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dickson, Brett G.","contributorId":221849,"corporation":false,"usgs":false,"family":"Dickson","given":"Brett","email":"","middleInitial":"G.","affiliations":[{"id":40442,"text":"Conservation Science Partners, Truckee, CA; Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":780492,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nussear, Kenneth","contributorId":194538,"corporation":false,"usgs":false,"family":"Nussear","given":"Kenneth","affiliations":[{"id":24618,"text":"Department of Geography, University of Nevada, Reno, Reno, NV","active":true,"usgs":false}],"preferred":false,"id":780493,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Esque, Todd 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":195896,"corporation":false,"usgs":true,"family":"Esque","given":"Todd","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780490,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chang, Tony","contributorId":191992,"corporation":false,"usgs":false,"family":"Chang","given":"Tony","email":"","affiliations":[],"preferred":false,"id":780494,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70227104,"text":"70227104 - 2020 - Attack of the PCR clones: Rates of clonality have little effect on RAD-seq genotype calls","interactions":[],"lastModifiedDate":"2021-12-29T14:00:37.386552","indexId":"70227104","displayToPublicDate":"2019-09-03T07:57:16","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2776,"text":"Molecular Ecology Resources","active":true,"publicationSubtype":{"id":10}},"title":"Attack of the PCR clones: Rates of clonality have little effect on RAD-seq genotype calls","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Interpretation of high-throughput sequence data requires an understanding of how decisions made during bioinformatic data processing can influence results. One source of bias that is often cited is PCR clones (or PCR duplicates). PCR clones are common in restriction site-associated sequencing (RAD-seq) data sets, which are increasingly being used for molecular ecology. To determine the influence PCR clones and the bioinformatic handling of clones have on genotyping, we evaluate four RAD-seq data sets. Data sets were compared before and after clones were removed to estimate the number of clones present in RAD-seq data, quantify how often the presence of clones in a data set causes genotype calls to change compared to when clones were removed, investigate the mechanisms that lead to genotype call changes and test whether clones bias heterozygosity estimates. Our RAD-seq data sets contained 30%–60% PCR clones, but 95% of RAD-tags had five or fewer clones. Relatively few genotypes changed once clones were removed (5%–10%), and the vast majority of these changes (98%) were associated with genotypes switching from a called to no-call state or vice versa. PCR clones had a larger influence on genotype calls in individuals with low read depth but appeared to influence genotype calls at all loci similarly. Removal of PCR clones reduced the number of called genotypes by 2% but had almost no influence on estimates of heterozygosity. As such, while steps should be taken to limit PCR clones during library preparation, PCR clones are likely not a substantial source of bias for most RAD-seq studies.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/1755-0998.13087","usgsCitation":"Euclide, P.T., McKinney, G., Bootsma, M., Tarsa, C., Meek, M., and Larson, W., 2020, Attack of the PCR clones: Rates of clonality have little effect on RAD-seq genotype calls: Molecular Ecology Resources, v. 20, no. 1, p. 66-78, https://doi.org/10.1111/1755-0998.13087.","productDescription":"13 p.","startPage":"66","endPage":"78","ipdsId":"IP-107066","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":393570,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Euclide, Peter T.","contributorId":270640,"corporation":false,"usgs":false,"family":"Euclide","given":"Peter","email":"","middleInitial":"T.","affiliations":[{"id":33303,"text":"University of Wisconsin Stevens Point","active":true,"usgs":false}],"preferred":false,"id":829639,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKinney, Garrett","contributorId":270641,"corporation":false,"usgs":false,"family":"McKinney","given":"Garrett","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":829640,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bootsma, Matthew","contributorId":270643,"corporation":false,"usgs":false,"family":"Bootsma","given":"Matthew","email":"","affiliations":[{"id":33303,"text":"University of Wisconsin Stevens Point","active":true,"usgs":false}],"preferred":false,"id":829641,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tarsa, Charlene","contributorId":270644,"corporation":false,"usgs":false,"family":"Tarsa","given":"Charlene","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":829642,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meek, Mariah","contributorId":270645,"corporation":false,"usgs":false,"family":"Meek","given":"Mariah","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":829643,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":829638,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70208375,"text":"70208375 - 2020 - Influence of a high-head dam as a dispersal barrier to fish community structure of the Upper Mississippi River","interactions":[],"lastModifiedDate":"2020-02-05T15:56:21","indexId":"70208375","displayToPublicDate":"2019-09-01T15:50:24","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":"Influence of a high-head dam as a dispersal barrier to fish community structure of the Upper Mississippi River","docAbstract":"<p><span>In river systems, high‐head dams may increase the distance‐decay of fish community similarity by creating nearly impermeable dispersal barriers to certain species from upstream reaches. Substantial evidence suggests that migratory species are impacted by dams, and most previous studies in stream/river networks have focused on small streams and headwaters. Here, we assess whether a high‐head dam (Lock and Dam 19; LD 19) on a large river, the Upper Mississippi River (UMR), substantially alters fish community structure relative to variability expected to occur independent of the dam's effect as a fish dispersal barrier. Using fish catch per unit effort data, we modelled the distance‐decay function for the UMR fish community and then estimated the similarity that would be expected to occur across LD19 and compared it with measured similarity. Measured similarity in the fish community above and below LD19 was close to the expected value based on the distance‐decay function, suggesting LD19 does not create an abrupt transition in the fish community. Although some migratory fish species no longer occur above LD19 (e.g., skipjack herring,&nbsp;</span><i>Alosa chrysochloris</i><span>), these species do not occur in high abundance below the dam and so do not drive variation in fish community structure. Instead, much of the variation in species structure is driven by the loss/gain of species across the latitudinal gradient. Lock and Dam 19 does not appear to be a clear transition point in the river's fish community, although it may function as a meaningful barrier for particular species (e.g., invasive species) and warrant future attention from a management perspective.</span></p>","language":"English","publisher":"John Wiley and Sons, Inc.","doi":"10.1002/rra.3534","usgsCitation":"Anderson, R.L., Anderson, C.A., Larson, J.H., Knights, B.C., Vallazza, J.M., Jenkins, S.E., and Lamer, J.T., 2020, Influence of a high-head dam as a dispersal barrier to fish community structure of the Upper Mississippi River: River Research and Applications, v. 36, no. 1, p. 47-56, https://doi.org/10.1002/rra.3534.","productDescription":"10 p.","startPage":"47","endPage":"56","ipdsId":"IP-095942","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":458682,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.3534","text":"Publisher Index Page"},{"id":372095,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa Minnesota, Missouri, Wisconsin","otherGeospatial":"Upper Mississippi River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.8125,\n              37.52715361723378\n            ],\n            [\n              -88.79150390625,\n              37.52715361723378\n            ],\n            [\n              -88.79150390625,\n              44.68427737181225\n            ],\n            [\n              -92.8125,\n              44.68427737181225\n            ],\n            [\n              -92.8125,\n              37.52715361723378\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Rebekah L.","contributorId":218832,"corporation":false,"usgs":false,"family":"Anderson","given":"Rebekah","email":"","middleInitial":"L.","affiliations":[{"id":39921,"text":"Illinois Deptment of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":781660,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Cory A.","contributorId":196305,"corporation":false,"usgs":false,"family":"Anderson","given":"Cory","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":781661,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":781659,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Knights, Brent C. 0000-0001-8526-8468 bknights@usgs.gov","orcid":"https://orcid.org/0000-0001-8526-8468","contributorId":2906,"corporation":false,"usgs":true,"family":"Knights","given":"Brent","email":"bknights@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":781662,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vallazza, Jonathan M. 0000-0003-2367-4887 jvallazza@usgs.gov","orcid":"https://orcid.org/0000-0003-2367-4887","contributorId":149362,"corporation":false,"usgs":true,"family":"Vallazza","given":"Jonathan","email":"jvallazza@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":781663,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jenkins, Sean E.","contributorId":199666,"corporation":false,"usgs":false,"family":"Jenkins","given":"Sean","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":781665,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lamer, James T. 0000-0003-1155-1548","orcid":"https://orcid.org/0000-0003-1155-1548","contributorId":196307,"corporation":false,"usgs":false,"family":"Lamer","given":"James","email":"","middleInitial":"T.","affiliations":[{"id":48847,"text":"Illinois River Biological Station, Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":781664,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70212604,"text":"70212604 - 2020 - Porphyry copper potential of the U.S. Southern Basin and Range using  ASTER data integrated with geochemical and geologic datasets to  assess potential near-surface deposits in well-explored permissive tracts","interactions":[],"lastModifiedDate":"2020-08-24T12:21:59.418909","indexId":"70212604","displayToPublicDate":"2019-09-01T15:21:04","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Porphyry copper potential of the U.S. Southern Basin and Range using  ASTER data integrated with geochemical and geologic datasets to  assess potential near-surface deposits in well-explored permissive tracts","docAbstract":"<p><span>ArcGIS was used to spatially assess and rank potential porphyry copper deposits using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data together with geochemical and geologic datasets in order to estimate undiscovered deposits in the southern Basin and Range Province in the southwestern United States. The assessment was done using a traditional expert opinion three-part method and a prospectivity model developed using weights of evidence and logistic regression techniques to determine if ASTER data integrated with other geologic datasets can be used to find additional areas of prospectivity in well-explored permissive tracts. ASTER hydrothermal alteration data were expressed as 457 alteration polygons defined from a low-pass filtered alteration density map of combined argillic, phyllic, and propylitic rock units. Sediment stream samples were plotted as map grid data and used as spatial information in ASTER polygons. Gravity and magnetic data were also used to define basins greater than 1 km in depth. Each ASTER alteration polygon was ranked for porphyry copper potential using alteration types, spatial amounts of alteration, stream sediment geochemistry, lithology, polygon shape, proximity to other alteration polygons, and deposit and prospects data. Permissive tracts defined for the assessment in the southern Basin and Range Province include the Laramide Northwest, Laramide Southeast, Jurassic, and Tertiary tracts. Expert opinion estimates using the three-part assessment method resulted in a mean estimate of 17 undiscovered porphyry copper deposits, whereas the prospectivity modeling predicted a mean estimate of nine undiscovered deposits. In the well-explored Laramide Southeast tract, which contains the most deposits and has been explored for over 100 years, an average of 4.3 undiscovered deposits was estimated using ASTER alteration polygon data versus 2.8 undiscovered deposits without ASTER data. The Tertiary tract, which contains the largest number of ASTER alteration polygons not associated with known Tertiary deposits, was predicted to contain the most undiscovered resources in the southern Basin and Range Province.</span></p>","language":"English","publisher":"Economic Geology","doi":"10.5382/econgeo.4675","usgsCitation":"Mars, J.C., Robinson, Hammarstrom, J.M., Zurcher, L., Whitney, H.A., Solano, F., Gettings, M.E., and Ludington, S., 2020, Porphyry copper potential of the U.S. Southern Basin and Range using  ASTER data integrated with geochemical and geologic datasets to  assess potential near-surface deposits in well-explored permissive tracts: Economic Geology, v. 114, no. 6, p. 1095-1121, https://doi.org/10.5382/econgeo.4675.","productDescription":"27 p.","startPage":"1095","endPage":"1121","ipdsId":"IP-096385","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics 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Center","active":true,"usgs":true}],"preferred":true,"id":797004,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Jr. 0000-0002-9676-9564","orcid":"https://orcid.org/0000-0002-9676-9564","contributorId":8479,"corporation":false,"usgs":true,"family":"Robinson","suffix":"Jr.","email":"","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":797005,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hammarstrom, Jane M. 0000-0003-2742-3460 jhammars@usgs.gov","orcid":"https://orcid.org/0000-0003-2742-3460","contributorId":1226,"corporation":false,"usgs":true,"family":"Hammarstrom","given":"Jane","email":"jhammars@usgs.gov","middleInitial":"M.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":797006,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zurcher, Lukas 0000-0001-5575-1192 lzurcher@usgs.gov","orcid":"https://orcid.org/0000-0001-5575-1192","contributorId":172674,"corporation":false,"usgs":true,"family":"Zurcher","given":"Lukas","email":"lzurcher@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":797007,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whitney, Helen A. 0000-0003-0137-8729","orcid":"https://orcid.org/0000-0003-0137-8729","contributorId":239285,"corporation":false,"usgs":true,"family":"Whitney","given":"Helen","email":"","middleInitial":"A.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":797008,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Solano, Federico 0000-0002-0308-5850","orcid":"https://orcid.org/0000-0002-0308-5850","contributorId":213145,"corporation":false,"usgs":true,"family":"Solano","given":"Federico","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":797009,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gettings, Mark E. 0000-0002-2910-2321 mgetting@usgs.gov","orcid":"https://orcid.org/0000-0002-2910-2321","contributorId":602,"corporation":false,"usgs":true,"family":"Gettings","given":"Mark","email":"mgetting@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":797010,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ludington, Stephen 0000-0002-6265-4996 slud@usgs.gov","orcid":"https://orcid.org/0000-0002-6265-4996","contributorId":172672,"corporation":false,"usgs":true,"family":"Ludington","given":"Stephen","email":"slud@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":797011,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70206445,"text":"70206445 - 2020 - A meta-analysis of global crop water productivity of three leading world crops (wheat, corn, and rice) in the irrigated areas over three decades","interactions":[],"lastModifiedDate":"2020-08-05T13:58:56.739844","indexId":"70206445","displayToPublicDate":"2019-08-28T15:41:30","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2035,"text":"International Journal of Digital Earth","active":true,"publicationSubtype":{"id":10}},"title":"A meta-analysis of global crop water productivity of three leading world crops (wheat, corn, and rice) in the irrigated areas over three decades","docAbstract":"<p><span>The overarching goal of this study was to perform a comprehensive meta-analysis of irrigated agricultural Crop Water Productivity (CWP) of the world’s three leading crops: wheat, corn, and rice based on three decades of remote sensing and non-remote sensing-based studies. Overall, CWP data from 148 crop growing study sites (60 wheat, 43 corn, and 45 rice) spread across the world were gathered from published articles spanning 31 different countries. There was overwhelming evidence of a significant increase in CWP with an increase in latitude for predominately northern hemisphere datasets. For example, corn grown in latitude 40–50° had much higher mean CWP (2.45 kg/m³) compared to mean CWP of corn grown in other latitudes such as 30–40° (1.67 kg/m³) or 20–30° (0.94 kg/m³). The same trend existed for wheat and rice as well. For soils, none of the CWP values, for any of the three crops, were statistically different. However, mean CWP in higher latitudes for the same soil was significantly higher than the mean CWP for the same soil in lower latitudes. This applied for all three crops studied. For wheat, the global CWP categories were low (≤0.75 kg/m³), medium (&gt;0.75 to &lt;1.10 kg/m³), and high CWP (≥1.10 kg/m³). For corn the global CWP categories were low (≤1.25 kg/m³), medium (&gt;1.25 to ≤1.75 kg/m³), and high (&gt;1.75 kg/m³). For rice the global CWP categories were low (≤0.70 kg/m³), medium (&gt;0.70 to ≤1.25 kg/m³), and high (&gt;1.25 kg/m³). USA and China are the only two countries that have consistently high CWP for wheat, corn, and rice. Australia and India have medium CWP for wheat and rice. India’s corn, however, has low CWP. Egypt, Turkey, Netherlands, Mexico, and Israel have high CWP for wheat. Romania, Argentina, and Hungary have high CWP for corn, and Philippines has high CWP for rice. All other countries have either low or medium CWP for all three crops. Based on data in this study, the highest consumers of water for crop production also have the most potential for water savings. These countries are USA, India, and China for wheat; USA, China, and Brazil for corn; India, China, and Pakistan for rice. For example, even just a 10% increase in CWP of wheat grown in India can save 6974 billion liters of water. This is equivalent to creating 6974 lakes each of 100 m³ in volume that leads to many benefits such as acting as ‘water banks’ for lean season, recreation, and numerous ecological services. This study establishes the volume of water that can be saved for each crop in each country when there is an increase in CWP by 10%, 20%, and 30%.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/17538947.2019.1651912","usgsCitation":"Daniel J. Foley, Thenkabail, P., Aneece, I., Pardhasaradhi Teluguntla, and Oliphant, A., 2020, A meta-analysis of global crop water productivity of three leading world crops (wheat, corn, and rice) in the irrigated areas over three decades: International Journal of Digital Earth, v. 13, no. 8, p. 939-975, https://doi.org/10.1080/17538947.2019.1651912.","productDescription":"37 p.","startPage":"939","endPage":"975","ipdsId":"IP-105160","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":458691,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/17538947.2019.1651912","text":"Publisher Index Page"},{"id":368938,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Daniel J. 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Foley","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":774571,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thenkabail, Prasad 0000-0002-2182-8822","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":220239,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":774570,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aneece, Itiya 0000-0002-1201-5459","orcid":"https://orcid.org/0000-0002-1201-5459","contributorId":220241,"corporation":false,"usgs":true,"family":"Aneece","given":"Itiya","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":774572,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pardhasaradhi Teluguntla 0000-0001-8060-9841","orcid":"https://orcid.org/0000-0001-8060-9841","contributorId":214457,"corporation":false,"usgs":false,"family":"Pardhasaradhi Teluguntla","affiliations":[{"id":39046,"text":"Bay Area Environmental Research Institute at USGS","active":true,"usgs":false}],"preferred":false,"id":774573,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oliphant, Adam 0000-0001-8622-7932 aoliphant@usgs.gov","orcid":"https://orcid.org/0000-0001-8622-7932","contributorId":192325,"corporation":false,"usgs":true,"family":"Oliphant","given":"Adam","email":"aoliphant@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":774574,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204933,"text":"70204933 - 2020 - Maximum entropy derived statistics of sound speed structure in a fine-grained sediment inferred from sparse broadband acoustic measurements on the New England continental shelf","interactions":[],"lastModifiedDate":"2020-01-20T12:25:57","indexId":"70204933","displayToPublicDate":"2019-08-23T10:55:13","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1941,"text":"IEEE Journal of Oceanic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Maximum entropy derived statistics of sound speed structure in a fine-grained sediment inferred from sparse broadband acoustic measurements on the New England continental shelf","docAbstract":"Marginal probability distributions for parameters representing an effective sound-speed structure of a fine-grained sediment are inferred from a data ensemble maximum entropy method that utilizes a sparse spatially distributed set of received pressure time series resulting from multiple explosive sources in a shallow-water ocean environment possessing significant spatial variability of the seabed. A remote sensing seabed acoustics experiment undertaken in March 2017 off the New England Shelf was designed so that multiple independent analyses could infer the statistical properties of the seabed. The current analysis incorporates the measured horizontal variability from interpretations of a subbottom profiling survey of the experimental area. An idealized range- and azimuth-dependent parameterization of the seabed is derived from identification of horizons within the seabed that define multiple sediment layers. A sparse set of explosive charges were deployed on circular tracks with radii of about 2, 4, and 6.5 km with an acoustic array at the center to correlate a set of random measurements to physical acoustic processes that characterize the seabed. The mean values of a surface sound speed ratio and a linear sound speed gradient for the fine-grained sediment layer derived from 12 data samples processed in the 25–275-Hz band provide an estimate of the effective sound-speed structure in a 130-km $^2$ area. The inferred sediment sound speed values are evaluated by predicting measured time series data not used in the statistical inference, and are also compared to historical measurements. Finally, the low-frequency maximum entropy estimate of the sediment sound speed along with physical measurements derived from piston core measurements are utilized to estimate the sediment grain bulk modulus.\npredictions made by the viscous grain shearing model.","language":"English","publisher":"IEEE","doi":"10.1109/JOE.2019.2922717","usgsCitation":"Knobles, D.P., Wilson, P.S., Goff, J., Wan, L., Buckingham, M., Chaytor, J., and Badiey, M., 2020, Maximum entropy derived statistics of sound speed structure in a fine-grained sediment inferred from sparse broadband acoustic measurements on the New England continental shelf: IEEE Journal of Oceanic Engineering, v. 45, no. 1, p. 161-173, https://doi.org/10.1109/JOE.2019.2922717.","productDescription":"9 p.","startPage":"161","endPage":"173","ipdsId":"IP-102085","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":366851,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine, Vermont,  New Hampshire, Massachusetts, Rhode Island, 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Current address:  TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":769155,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goff, J.A.","contributorId":17004,"corporation":false,"usgs":true,"family":"Goff","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":769156,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wan, L.","contributorId":218393,"corporation":false,"usgs":false,"family":"Wan","given":"L.","email":"","affiliations":[],"preferred":false,"id":769157,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buckingham, M.J.","contributorId":28772,"corporation":false,"usgs":true,"family":"Buckingham","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":769158,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chaytor, Jason 0000-0001-8135-8677 jchaytor@usgs.gov","orcid":"https://orcid.org/0000-0001-8135-8677","contributorId":140095,"corporation":false,"usgs":true,"family":"Chaytor","given":"Jason","email":"jchaytor@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":769159,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Badiey, Mohsen","contributorId":218394,"corporation":false,"usgs":false,"family":"Badiey","given":"Mohsen","email":"","affiliations":[],"preferred":false,"id":769160,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70211212,"text":"70211212 - 2020 - Relevance of individual and environmental drivers of movement of Golden Eagles","interactions":[],"lastModifiedDate":"2020-07-17T19:07:15.188554","indexId":"70211212","displayToPublicDate":"2019-08-13T14:04:07","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1961,"text":"Ibis","active":true,"publicationSubtype":{"id":10}},"title":"Relevance of individual and environmental drivers of movement of Golden Eagles","docAbstract":"<p><span>An animal's movement is expected to be governed by an interplay between goals determined by its internal state and energetic costs associated with navigating through the external environment. Understanding this ecological process is challenging when an animal moves in two dimensions and even more difficult for birds that move in a third dimension. To understand the dynamic interaction between the internal state of an animal and the variable external environment, we evaluated hypotheses explaining association of different covariates of movement and the trade‐offs birds face as they make behavioural decisions in a fluctuating landscape. We used ~870&nbsp;000 GPS telemetry data points collected from 68 Golden Eagles&nbsp;</span><i>Aquila chrysaetos<span>&nbsp;</span></i><span>to test demographic, diel, topographic and meteorological hypotheses to determine (1) the probability that&nbsp;these birds would be in motion and (2), once in motion, their flight speed. A complex and sometimes interacting set of potential internal and external factors determined movement behaviour. There was good evidence that reproductive state, manifested as age, sex and seasonal effects, had a significant influence on the probability of being in motion and, to a lesser extent, on speed of motion. Likewise, movement responses to the external environment were often unexpectedly strong. These responses, to northness of slope, strength of orographic updraft and intensity of solar radiation, were regionally and temporally variable. In contrast to previous work showing the role of a single environmental factor in determining movement decisions, our analyses support the hypothesis that multiple factors simultaneously interact to influence animal movement. In particular they highlighted how movement is influenced by the interaction between the individual's internal reproductive state and the external environment, and that, of the environmental factors, topographic influences are often more relevant than meteorological influences in determining patterns of flight behaviour. Further disentangling of how these internal and externals states jointly affect movement will provide additional insights into the&nbsp;energetic costs of movement and benefits associated with achieving process‐driven goals.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ibi.12766","usgsCitation":"Sur, M., Duerr, A.E., Bell, D.A., Fisher, R.N., Tracey, J.A., Bloom, P.H., Miller, T., and Katzner, T., 2020, Relevance of individual and environmental drivers of movement of Golden Eagles: Ibis, v. 162, no. 2, p. 381-399, https://doi.org/10.1111/ibi.12766.","productDescription":"19 p.","startPage":"381","endPage":"399","ipdsId":"IP-100538","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":458700,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ibi.12766","text":"Publisher Index 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District","active":true,"usgs":false}],"preferred":false,"id":793224,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":793225,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tracey, Jeff A. 0000-0002-1619-1054 jatracey@usgs.gov","orcid":"https://orcid.org/0000-0002-1619-1054","contributorId":5780,"corporation":false,"usgs":true,"family":"Tracey","given":"Jeff","email":"jatracey@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":793226,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bloom, Peter H.","contributorId":191356,"corporation":false,"usgs":false,"family":"Bloom","given":"Peter","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":793227,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Miller, Trish","contributorId":229457,"corporation":false,"usgs":false,"family":"Miller","given":"Trish","email":"","affiliations":[{"id":41650,"text":"Conservation Science Global, Inc","active":true,"usgs":false}],"preferred":false,"id":793228,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":793229,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70217897,"text":"70217897 - 2020 - Genetic mark‐recapture analysis of winter faecal pellets allows estimation of population size in Sage Grouse Centrocercus urophasianus","interactions":[],"lastModifiedDate":"2021-02-11T17:44:33.211693","indexId":"70217897","displayToPublicDate":"2019-08-09T07:30:43","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1961,"text":"Ibis","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Genetic mark‐recapture analysis of winter faecal pellets allows estimation of population size in Sage Grouse </>Centrocercus urophasianus</i>","title":"Genetic mark‐recapture analysis of winter faecal pellets allows estimation of population size in Sage Grouse Centrocercus urophasianus","docAbstract":"<div class=\"article-section__content en main\"><p><span>The Sage Grouse&nbsp;</span><i>Centrocercus urophasianus</i><span>&nbsp;is a species of conservation concern throughout its range in western North America. Since the 1950s, the high count of males at leks has been used as an index for monitoring populations. However, the relationship between this lek‐count index and population size is unclear, and its reliability for assessing population trends has been questioned. We used non‐invasive genetic mark‐recapture analysis of faecal and feather samples to estimate pre‐breeding population size for the Parachute‐Piceance‐Roan, a small, geographically isolated population of Sage Grouse in western Colorado, during two consecutive winters from 2012 to 2014. We estimated total pre‐breeding population size as 335 (95% confidence interval (CI): 287–382) in the first winter and 745 (95% CI: 627–864) in the second, an approximate doubling in abundance between years. Although we also observed a large increase in the spring lek‐count index between those years, high male count data poorly represented mark‐recapture estimates of male abundance in each year. Our data suggest that lek counts are useful for detecting the direction and magnitude of large changes in Sage Grouse abundance over time but they may not reliably reflect small changes in abundance that may be relevant to small populations of conservation concern.</span></p></div>","language":"English","publisher":"Wiley","doi":"10.1111/ibi.12768","usgsCitation":"Shyvers, J., Walker, B.L., Oyler-McCance, S.J., Fike, J.A., and Noon, B.R., 2020, Genetic mark‐recapture analysis of winter faecal pellets allows estimation of population size in Sage Grouse Centrocercus urophasianus: Ibis, v. 162, no. 3, p. 749-765, https://doi.org/10.1111/ibi.12768.","productDescription":"17 p.","startPage":"749","endPage":"765","ipdsId":"IP-105765","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":458702,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ibi.12768","text":"Publisher Index Page"},{"id":383194,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.072265625,\n              39.45316112807394\n            ],\n            [\n              -106.8310546875,\n              39.45316112807394\n            ],\n            [\n              -106.8310546875,\n              40.613952441166596\n            ],\n            [\n              -109.072265625,\n              40.613952441166596\n            ],\n            [\n              -109.072265625,\n              39.45316112807394\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"162","issue":"3","noUsgsAuthors":false,"publicationDate":"2019-09-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Shyvers, Jessica E","contributorId":248864,"corporation":false,"usgs":false,"family":"Shyvers","given":"Jessica E","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":810103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walker, Brett L","contributorId":248865,"corporation":false,"usgs":false,"family":"Walker","given":"Brett","email":"","middleInitial":"L","affiliations":[{"id":36246,"text":"CPW","active":true,"usgs":false}],"preferred":false,"id":810104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":810105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fike, Jennifer A. 0000-0001-8797-7823 fikej@usgs.gov","orcid":"https://orcid.org/0000-0001-8797-7823","contributorId":140875,"corporation":false,"usgs":true,"family":"Fike","given":"Jennifer","email":"fikej@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":810169,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Noon, Barry R.","contributorId":198981,"corporation":false,"usgs":false,"family":"Noon","given":"Barry","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":810107,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70208101,"text":"70208101 - 2020 - Sampling and analysis frameworks for inference in ecology","interactions":[],"lastModifiedDate":"2020-01-27T19:43:27","indexId":"70208101","displayToPublicDate":"2019-08-02T19:41:54","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":"Sampling and analysis frameworks for inference in ecology","docAbstract":"<p>1. Reliable statistical inference is central to ecological research, much of which seeks to estimate population attributes and their interactions. The issue of sampling design and its relationship to inference has become increasingly important due to rapid proliferation of modeling methodology (line transect modeling, capture-recapture, estimation of occurrence, model selection procedures, hierarchical modeling) and new sampling approaches (adaptive sampling, other specialized designs). It is important for ecologists using these advanced methods to be aware of how the linkages between sample selection and data analysis can potentially affect inference. 2. We examine design-based and model-based inference frameworks for ecological data collected randomly, purposively, or opportunistically. We elucidate differences in the probability structures for data arising from these frameworks, clarify the assumptions that underlie them, and demonstrate their differences. 3. Design-based inference builds on a probability structure inherited from randomized data collection, whereas model-based inference relies on an assumed stochastic model of the data. By itself, a design-based approach is of limited value for inferences about causal hypotheses. In contrast, model-based inference is dependent on a conditionality principle that can seldom be shown to be met for an ecological system. We describe the conditions under which one can safely ignore sampling design in model-based analysis, along with inferential implications if these conditions are not met. The special case of opportunistic sampling is discussed. 4. We present a combined framework that takes advantage of both approaches to inference, and provides a robust methodology that can deal with the modeling of sampling problems such as nondetection and misclassification, as well as the exploration of causal hypotheses. The combined framework can be useful for identifying optimal sampling strategies. 5. Each approach to inference has its strengths and weaknesses, and practitioners should be aware of these in order to tailor designs and analyses to specific questions. We use the approaches and their underlying rationales to provide guidelines for choosing designs and estimators for reliable inference.</p>","language":"English","publisher":"Wiley","doi":"10.1111/2041-210X.13279","usgsCitation":"Williams, B.K., and Brown, E., 2020, Sampling and analysis frameworks for inference in ecology: Methods in Ecology and Evolution, v. 11, no. 10, p. 1832-1842, https://doi.org/10.1111/2041-210X.13279.","productDescription":"11 p.","startPage":"1832","endPage":"1842","ipdsId":"IP-105921","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":458716,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.13279","text":"Publisher Index Page"},{"id":371624,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Williams, Byron K. 0000-0001-7644-1396","orcid":"https://orcid.org/0000-0001-7644-1396","contributorId":86616,"corporation":false,"usgs":true,"family":"Williams","given":"Byron","email":"","middleInitial":"K.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":false,"id":780468,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Ellie 0000-0001-7798-830X ebrown@usgs.gov","orcid":"https://orcid.org/0000-0001-7798-830X","contributorId":200491,"corporation":false,"usgs":true,"family":"Brown","given":"Ellie","email":"ebrown@usgs.gov","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":false,"id":780467,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70227115,"text":"70227115 - 2020 - Harvest–release decisions in recreational fisheries","interactions":[],"lastModifiedDate":"2021-12-30T16:41:44.505518","indexId":"70227115","displayToPublicDate":"2019-07-29T10:37:43","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Harvest–release decisions in recreational fisheries","docAbstract":"<p><span>Most fishery regulations aim to control angler harvest. Yet, we lack a basic understanding of what actually determines the angler’s decision to harvest or release fish caught. We used XGBoost, a machine learning algorithm, to develop a predictive angler harvest–release model by taking advantage of an extensive recreational fishery data set (24 water bodies, 9 years, and 193 523 fish). We were able to successfully predict the harvest–release outcome for 99% of fish caught in the training data set and 96% of fish caught in the test data set. Unsuccessful predictions were mostly attributed to predicting harvest of fish that were released. Fish length was the most essential feature examined for predicting angler harvest. Other important predictive harvest–release features included the number of individuals of the same species caught, geographic location of an angler’s residence, distance traveled, and time spent fishing. The XGBoost algorithm was able to effectively predict the harvest–release decision and revealed hidden and intricate relationships that are often unaccounted for with classical analysis techniques. Exposing and accounting for these angler–fish intricacies is critical for fisheries conservation and management.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2019-0119","usgsCitation":"Kaemingk, M.A., Hurley, K.L., Chizinski, C.J., and Pope, K.L., 2020, Harvest–release decisions in recreational fisheries: Canadian Journal of Fisheries and Aquatic Sciences, v. 77, no. 1, p. 194-201, https://doi.org/10.1139/cjfas-2019-0119.","productDescription":"8 p.","startPage":"194","endPage":"201","ipdsId":"IP-107097","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":500808,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/96908","text":"External Repository"},{"id":393653,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70221217,"text":"70221217 - 2020 - In situ measurements of compressional wave speed during gravity coring operations in the New England mud patch","interactions":[],"lastModifiedDate":"2021-06-07T13:58:50.908906","indexId":"70221217","displayToPublicDate":"2019-07-18T08:50:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1941,"text":"IEEE Journal of Oceanic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"In situ measurements of compressional wave speed during gravity coring operations in the New England mud patch","docAbstract":"<p><span>This paper presents measurements of sediment sound-speed profiles measured in situ using the acoustic coring system (ACS). The reported measurements were obtained from seven gravity cores collected in the New England Mud Patch. The ACS uses two sets of transducers mounted below the penetrating tip of a sediment corer to make in situ measurements of geoacoustic properties as the corer penetrates the seabed. The in situ sound-speed profiles are interpreted in the context of stratigraphic layering measured by a seismic survey, and the measured sound-speed profiles are consistent with the geophysical description. The in situ sound-speed profiles measured by the ACS were compared to conventional measurements of sound speed on the recovered cores using the multisensor core logger (MSCL). The MSCL data displayed both random and systematic errors that were attributed to disturbance from the coring process and/or the handling of the sediments after collection. Finally, using porosity and grain size distributions measured from discrete samples of the cored sediments, the in situ sound-speed measurements were compared to empirical regressions based on independent data sets.</span></p>","language":"English","publisher":"IEEE","doi":"10.1109/JOE.2019.2924560","usgsCitation":"Ballard, M.S., Lee, K.M., McNeese, A.R., Wilson, P.S., Chaytor, J., Goff, J.A., and Reed, A.H., 2020, In situ measurements of compressional wave speed during gravity coring operations in the New England mud patch: IEEE Journal of Oceanic Engineering, v. 45, no. 1, p. 26-38, https://doi.org/10.1109/JOE.2019.2924560.","productDescription":"13 p.","startPage":"26","endPage":"38","ipdsId":"IP-106815","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":386265,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Atlantic Ocean, New England Mud Patch","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.751708984375,\n              39.985538414809746\n            ],\n            [\n              -69.488525390625,\n              39.985538414809746\n            ],\n            [\n              -69.488525390625,\n              41.04621681452063\n            ],\n            [\n              -71.751708984375,\n              41.04621681452063\n            ],\n            [\n              -71.751708984375,\n              39.985538414809746\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"45","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ballard, Megan S.","contributorId":259312,"corporation":false,"usgs":false,"family":"Ballard","given":"Megan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":817093,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Kevin M.","contributorId":139558,"corporation":false,"usgs":false,"family":"Lee","given":"Kevin","email":"","middleInitial":"M.","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. Current address:  TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":817094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McNeese, Andrew R.","contributorId":259313,"corporation":false,"usgs":false,"family":"McNeese","given":"Andrew","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":817095,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Preston S.","contributorId":139561,"corporation":false,"usgs":false,"family":"Wilson","given":"Preston","email":"","middleInitial":"S.","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. Current address:  TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":817096,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chaytor, Jason 0000-0001-8135-8677 jchaytor@usgs.gov","orcid":"https://orcid.org/0000-0001-8135-8677","contributorId":140095,"corporation":false,"usgs":true,"family":"Chaytor","given":"Jason","email":"jchaytor@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":817097,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goff, John A.","contributorId":96087,"corporation":false,"usgs":false,"family":"Goff","given":"John","email":"","middleInitial":"A.","affiliations":[{"id":12811,"text":"Institute for Geophysics, Jackson School of Geosciences, University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":817098,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reed, Allen H.","contributorId":60898,"corporation":false,"usgs":true,"family":"Reed","given":"Allen","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":817099,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70210831,"text":"70210831 - 2020 - Connectivity in the Crown: Highway 2 wildlife crossings","interactions":[],"lastModifiedDate":"2020-06-30T11:59:57.206245","indexId":"70210831","displayToPublicDate":"2019-07-17T09:58:34","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Connectivity in the Crown: Highway 2 wildlife crossings","docAbstract":"This report summarizes data collected to inform decisions on how to best mitigate the effects on wildlife migration from increasing traffic, development, and recreation along US highway 2.  The highway, railway, and river split the Crown of the Continent Ecosystem.  This data addresses SO 3362 by providing information on major wildlife trails, observed wildilfe crossings and road kills, and identifying the elk, deer, and other animals that use the areas near 6 potential highway crossing structure locations.  \n\nThis effort resulted in 621 wildlife observations of 26 species collected from hundreds of interactions with employees and the public, 31 businesses visited, and 11 events held or attended. We mapped 230 previously unrecorded wildlife trails between West Glacier and Columbia Falls and measured and photographed 390 culverts between East Glacier and Columbia Falls. We installed 12 trail cameras that captured 9248 wildlife images comprised of 12 species.","language":"English","publisher":"NPS","collaboration":"National Park Service (GNP), USFS, Montana DOT, Montana FWP, University of Montana","usgsCitation":"Waller, J.S., Graves, T., Anderson, B., Kittson, B., and Gaulke, S.M., 2020, Connectivity in the Crown: Highway 2 wildlife crossings, 37 p.","productDescription":"37 p.","startPage":"1","endPage":"37","ipdsId":"IP-117730","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":375972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":375960,"type":{"id":15,"text":"Index Page"},"url":"https://npshistory.com/publications/glac/hwy-2-wildlife-crossings-2019.pdf"}],"country":"United States","state":"Montana","otherGeospatial":"Glacier National Park, Highway 2","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.0435791015625,\n              48.268569112964336\n            ],\n            [\n              -113.09326171875,\n              48.268569112964336\n            ],\n            [\n              -113.09326171875,\n              48.56388521347092\n            ],\n            [\n              -114.0435791015625,\n              48.56388521347092\n            ],\n            [\n              -114.0435791015625,\n              48.268569112964336\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Waller, John S.","contributorId":167055,"corporation":false,"usgs":false,"family":"Waller","given":"John","email":"","middleInitial":"S.","affiliations":[{"id":16272,"text":"National Park Service, Glacier National Park, West Glacier, MT","active":true,"usgs":false}],"preferred":false,"id":791629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":791628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Brad","contributorId":225562,"corporation":false,"usgs":false,"family":"Anderson","given":"Brad","email":"","affiliations":[{"id":41162,"text":"Glacier National Park Conservancy","active":true,"usgs":false}],"preferred":false,"id":791630,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kittson, Brandon","contributorId":225563,"corporation":false,"usgs":false,"family":"Kittson","given":"Brandon","email":"","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":791631,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gaulke, Sarah Mccrimmon 0000-0002-2657-5844","orcid":"https://orcid.org/0000-0002-2657-5844","contributorId":225564,"corporation":false,"usgs":true,"family":"Gaulke","given":"Sarah","email":"","middleInitial":"Mccrimmon","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":791632,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70215408,"text":"70215408 - 2020 - Shear velocity structure from ambient noise and teleseismic surface wave tomography in the Cascades around Mount St. Helens","interactions":[],"lastModifiedDate":"2020-10-19T14:02:32.671431","indexId":"70215408","displayToPublicDate":"2019-07-16T08:53:04","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Shear velocity structure from ambient noise and teleseismic surface wave tomography in the Cascades around Mount St. Helens","docAbstract":"<p><span>Mount St. Helens (MSH) lies in the forearc of the Cascades where conditions should be too cold for volcanism. To better understand thermal conditions and magma pathways beneath MSH, data from a dense broadband array are used to produce high‐resolution tomographic images of the crust and upper mantle. Rayleigh‐wave phase‐velocity maps and three‐dimensional images of shear velocity (</span><i>Vs</i><span>), generated from ambient noise and earthquake surface waves, show that west of MSH the middle‐lower crust is anomalously fast (3.95 ± 0.1 km/s), overlying an anomalously slow uppermost mantle (4.0–4.2 km/s). This combination renders the forearc Moho weak to invisible, with crustal velocity variations being a primary cause; fast crust is necessary to explain the absent Moho. Comparison with predicted rock velocities indicates that the fast crust likely consists of gabbros and basalts of the Siletzia terrane, an accreted oceanic plateau. East of MSH where magmatism is abundant, middle‐lower crust&nbsp;</span><i>Vs</i><span>&nbsp;is low (3.45–3.6 km/s), consistent with hot and potentially partly molten crust of more intermediate to felsic composition. This crust overlies mantle with more typical wave speeds, producing a strong Moho. The sharp boundary in crust and mantle&nbsp;</span><i>Vs</i><span>&nbsp;within a few kilometers of the MSH edifice correlates with a sharp boundary from low heat flow in the forearc to high arc heat flow and demonstrates that the crustal terrane boundary here couples with thermal structure to focus lateral melt transport from the lower crust westward to arc volcanoes.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019JB017836","usgsCitation":"Crosbie, K., Abers, G.A., Mann, M.E., Janiszewski, H.A., Creager, K.C., Ulberg, C.W., and Moran, S.C., 2020, Shear velocity structure from ambient noise and teleseismic surface wave tomography in the Cascades around Mount St. Helens: Journal of Geophysical Research, v. 124, no. 8, p. 8358-8375, https://doi.org/10.1029/2019JB017836.","productDescription":"18 p.","startPage":"8358","endPage":"8375","ipdsId":"IP-107648","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":458727,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019jb017836","text":"Publisher Index Page"},{"id":379510,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Mt. St. Helens","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.3876953125,\n              46.02176059146292\n            ],\n            [\n              -121.95098876953125,\n              46.02176059146292\n            ],\n            [\n              -121.95098876953125,\n              46.326068311712596\n            ],\n            [\n              -122.3876953125,\n              46.326068311712596\n            ],\n            [\n              -122.3876953125,\n              46.02176059146292\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"124","issue":"8","noUsgsAuthors":false,"publicationDate":"2019-08-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Crosbie, Kayla","contributorId":243333,"corporation":false,"usgs":false,"family":"Crosbie","given":"Kayla","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":802074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abers, Geoff A. 0000-0003-0704-2097","orcid":"https://orcid.org/0000-0003-0704-2097","contributorId":243334,"corporation":false,"usgs":false,"family":"Abers","given":"Geoff","email":"","middleInitial":"A.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":802075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mann, Michael Everett 0000-0001-8418-078X","orcid":"https://orcid.org/0000-0001-8418-078X","contributorId":243335,"corporation":false,"usgs":false,"family":"Mann","given":"Michael","email":"","middleInitial":"Everett","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":802076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Janiszewski, Helen A. 0000-0003-1425-7969","orcid":"https://orcid.org/0000-0003-1425-7969","contributorId":243336,"corporation":false,"usgs":false,"family":"Janiszewski","given":"Helen","email":"","middleInitial":"A.","affiliations":[{"id":30217,"text":"Carnegie Institution for Science","active":true,"usgs":false}],"preferred":false,"id":802077,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Creager, Kenneth C 0000-0003-4501-7415","orcid":"https://orcid.org/0000-0003-4501-7415","contributorId":221910,"corporation":false,"usgs":false,"family":"Creager","given":"Kenneth","email":"","middleInitial":"C","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":802078,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ulberg, Carl W 0000-0001-6198-809X","orcid":"https://orcid.org/0000-0001-6198-809X","contributorId":221909,"corporation":false,"usgs":false,"family":"Ulberg","given":"Carl","email":"","middleInitial":"W","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":802079,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moran, Seth C. 0000-0001-7308-9649 smoran@usgs.gov","orcid":"https://orcid.org/0000-0001-7308-9649","contributorId":224629,"corporation":false,"usgs":true,"family":"Moran","given":"Seth","email":"smoran@usgs.gov","middleInitial":"C.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":802080,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
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