{"pageNumber":"294","pageRowStart":"7325","pageSize":"25","recordCount":40783,"records":[{"id":70227147,"text":"70227147 - 2020 - Barnyardgrass (Echinochloa crusgalli) emergence and growth in a changing climate in great plains wetlands","interactions":[],"lastModifiedDate":"2022-01-03T16:06:54.252963","indexId":"70227147","displayToPublicDate":"2020-01-01T09:10:10","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3751,"text":"Wetlands Ecology and Management","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Barnyardgrass (<i>Echinochloa crusgalli</i>) emergence and growth in a changing climate in great plains wetlands","title":"Barnyardgrass (Echinochloa crusgalli) emergence and growth in a changing climate in great plains wetlands","docAbstract":"<p><span>Projected twenty first century increases in temperature and precipitation intensity in the U.S. Great Plains may alter playa wetland hydroperiods. Our objective was to identify favorable germination conditions for a common moist-soil grass, Barnyardgrass (</span><i>Echinochloa crusgalli</i><span>&nbsp;L.), by evaluating emergence and growth response to various environmental conditions specific to the Northern (Nebraska) and Southern (Texas) range of playas. We used a temperature-controlled growth chamber experiment to evaluate emergence and growth response of Barnyardgrass to three main effects: (i) weekly temperatures representing historical and future conditions under a moderate emissions scenario, (ii) dry, moist, and saturated soil moisture conditions, and (iii) various seed bank densities. In Nebraska samples, projected future temperatures reduced emergence percentage by up to 20%, but increased emergence percentage by up to 15% for Texas samples. For Nebraska samples, plants were 9.6&nbsp;cm taller under field capacity moisture compared to saturated moisture. Texas plant height was driven by temperature, where historical conditions produced plants that were 13&nbsp;cm shorter than future warm conditions. These effects may be exacerbated in natural settings over time and when inter-specific competition exists; thus, temperature, soil moisture, and seed bank densities may be important considerations when planning for playa management in future climate conditions.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11273-019-09693-0","usgsCitation":"Owen, R.K., Webb, E.B., Haukos, D.A., Fritschi, F.B., and Goyne, K.W., 2020, Barnyardgrass (Echinochloa crusgalli) emergence and growth in a changing climate in great plains wetlands: Wetlands Ecology and Management, v. 28, p. 35-50, https://doi.org/10.1007/s11273-019-09693-0.","productDescription":"16 p.","startPage":"35","endPage":"50","ipdsId":"IP-107339","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":393740,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska, Texas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.56614685058594,\n              40.65615965408628\n            ],\n            [\n              -97.15347290039061,\n              40.65615965408628\n            ],\n            [\n              -97.15347290039061,\n              40.980934813391414\n            ],\n            [\n              -97.56614685058594,\n              40.980934813391414\n            ],\n            [\n              -97.56614685058594,\n              40.65615965408628\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -102.2,\n              33.5\n            ],\n            [\n              -101.75,\n              33.5\n            ],\n            [\n              -101.75,\n              34.7\n            ],\n            [\n              -102.2,\n              34.7\n            ],\n            [\n              -102.2,\n              33.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"28","noUsgsAuthors":false,"publicationDate":"2020-01-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Owen, R. K.","contributorId":270701,"corporation":false,"usgs":false,"family":"Owen","given":"R.","email":"","middleInitial":"K.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":829788,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":829789,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":829790,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fritschi, F. B.","contributorId":270702,"corporation":false,"usgs":false,"family":"Fritschi","given":"F.","email":"","middleInitial":"B.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":829791,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goyne, K. W.","contributorId":244518,"corporation":false,"usgs":false,"family":"Goyne","given":"K.","email":"","middleInitial":"W.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":829792,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70208625,"text":"70208625 - 2020 - Temporospatial shifts in Sandhill Crane staging in the Central Platte River Valley in response to climatic variation and habitat change","interactions":[],"lastModifiedDate":"2020-12-15T20:16:16.059853","indexId":"70208625","displayToPublicDate":"2019-12-31T14:44:29","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2785,"text":"Monographs of the Western North American Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Temporospatial shifts in Sandhill Crane staging in the Central Platte River Valley in response to climatic variation and habitat change","docAbstract":"<p><span>Over 80% of the Mid-Continent Sandhill Crane (</span><i>Antigone canadensis</i><span>) Population (MCP), estimated at over 660,000 individuals, stops in the Central Platte River Valley (CPRV) during spring migration from mid-February through mid-April. Research suggests that the MCP may be shifting its distribution spatially and temporally within the CPRV. From 2002 to 2017, we conducted weekly aerial surveys of Sandhill Cranes staging in the CPRV to examine temporal and spatial trends in their abundance and distribution. Then, we used winter temperature and drought severity measures from key wintering and early migratory stopover locations to assess the impacts of weather patterns on annual migration chronology in the CPRV. We also evaluated channel width and land cover characteristics using aerial imagery from 1938, 1998, and 2016 to assess the relationship between habitat change and the spatial distribution of the MCP in the CPRV. We used generalized linear models, cumulative link models, and Akaike’s information criterion corrected for small sample sizes (AICc) to compare temporal and spatial models. Temperatures and drought conditions at wintering and migration locations that are heavily used by Greater Sandhill Cranes (</span><i>A. c. tabida</i><span>) best predicted migration chronology of the MCP to the CPRV. The spatial distribution of roosting Sandhill Cranes from 2015 to 2017 was best predicted by the proportion of width reduction in the main channel since 1938 (rather than its width in 2016) and the proportion of land cover as prairie-meadow habitat within 800 m of the Platte River. Our data suggest that Sandhill Cranes advanced their migration by an average of just over 1 day per year from 2002 to 2017, and that they continued to shift eastward, concentrating at eastern reaches of the CPRV. Climate change, land use change, and habitat loss have all likely contributed to Sandhill Cranes coming earlier and staying longer in fewer reaches of the CPRV, increasing their site use intensity. These historically unprecedented densities may present a disease risk to Sandhill Cranes and other waterbirds, including Whooping Cranes (</span><i>Grus americana</i><span>). Our models suggest that conservation actions may be maintaining Sandhill Crane densities in areas that would otherwise be declining in use. We suggest that management actions intended to mitigate trends in the distribution of Sandhill Cranes, including wet meadow restoration, may similarly benefit prairie- and braided river–endemic species of concern.</span></p>","language":"English","publisher":"BioOne","doi":"10.3398/042.011.0104","usgsCitation":"Caven, A.J., Brinley Buckley, E.M., King, K.C., Wiese, J.D., Baasch, D.M., Wright, G.D., Harner, M.J., Pearse, A.T., Rabbe, M., Varner, D., Krohn, B., Arcilla, N., Schroeder, K.D., and Dinan, K.F., 2020, Temporospatial shifts in Sandhill Crane staging in the Central Platte River Valley in response to climatic variation and habitat change: Monographs of the Western North American Naturalist, v. 11, p. 33-76, https://doi.org/10.3398/042.011.0104.","productDescription":"44 p.","startPage":"33","endPage":"76","ipdsId":"IP-102357","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":458279,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3398/042.011.0104","text":"Publisher Index Page"},{"id":372957,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"Platte River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -98.03237915039062,\n              41.024981358869915\n            ],\n            [\n              -98.06465148925781,\n              41.055537533528636\n            ],\n            [\n              -98.27957153320312,\n              40.954492756949186\n            ],\n            [\n              -98.40934753417967,\n              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Trust","active":true,"usgs":false}],"preferred":false,"id":782800,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wiese, Joshua D","contributorId":222651,"corporation":false,"usgs":false,"family":"Wiese","given":"Joshua","email":"","middleInitial":"D","affiliations":[{"id":40581,"text":"Platte River Whooping Crane Maintenance Trust","active":true,"usgs":false}],"preferred":false,"id":782801,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baasch, David M.","contributorId":147145,"corporation":false,"usgs":false,"family":"Baasch","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":16795,"text":"Headwaters Corp, Kearney, NE","active":true,"usgs":false}],"preferred":false,"id":782802,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wright, Greg D.","contributorId":177585,"corporation":false,"usgs":false,"family":"Wright","given":"Greg","email":"","middleInitial":"D.","affiliations":[{"id":12957,"text":"Chippewa Ottawa Resource Authority","active":true,"usgs":false}],"preferred":false,"id":782803,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harner, Mary J.","contributorId":177584,"corporation":false,"usgs":false,"family":"Harner","given":"Mary","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":782804,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pearse, Aaron T. 0000-0002-6137-1556 apearse@usgs.gov","orcid":"https://orcid.org/0000-0002-6137-1556","contributorId":1772,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron","email":"apearse@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":782797,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rabbe, Matt","contributorId":202597,"corporation":false,"usgs":false,"family":"Rabbe","given":"Matt","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":782805,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Varner, Dana","contributorId":222652,"corporation":false,"usgs":false,"family":"Varner","given":"Dana","affiliations":[{"id":40582,"text":"Rainwater Basin Joint Venture","active":true,"usgs":false}],"preferred":false,"id":782806,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Krohn, Brice","contributorId":222653,"corporation":false,"usgs":false,"family":"Krohn","given":"Brice","email":"","affiliations":[{"id":40581,"text":"Platte River Whooping Crane Maintenance Trust","active":true,"usgs":false}],"preferred":false,"id":782807,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Arcilla, Nicole","contributorId":223085,"corporation":false,"usgs":false,"family":"Arcilla","given":"Nicole","email":"","affiliations":[],"preferred":false,"id":782808,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Schroeder, Kirk D","contributorId":222655,"corporation":false,"usgs":false,"family":"Schroeder","given":"Kirk","email":"","middleInitial":"D","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":782809,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Dinan, Kenneth F","contributorId":222656,"corporation":false,"usgs":false,"family":"Dinan","given":"Kenneth","email":"","middleInitial":"F","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":782810,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70209255,"text":"70209255 - 2020 - Event and decadal-scale modeling of barrier island restoration designs for decision support","interactions":[],"lastModifiedDate":"2020-03-26T11:18:40","indexId":"70209255","displayToPublicDate":"2019-12-31T11:18:27","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3385,"text":"Shore & Beach","printIssn":"0037-4237","active":true,"publicationSubtype":{"id":10}},"title":"Event and decadal-scale modeling of barrier island restoration designs for decision support","docAbstract":"An interdisciplinary project team was convened to develop a modeling framework that simulates the potential impacts of storms and sea level-rise to habitat availability at Breton Island, Louisiana (Breton) for existing conditions and potential future restoration designs. The model framework was iteratively developed through evaluation of model results at multiple checkpoints. A methodology was developed for characterizing regional wave and water levels, and the numerical model XBeach was used to simulate the potential impacts from a wide range of storm events. Simulations quantified the potential for erosion, overwash, and inundation of the pre- and post-restoration beach and dune system and were used as a preliminary screening of restoration designs. The model framework also incorporated a computationally efficient method to evaluate the impacts of storms, long-term shoreline changes, and relative sea level rise over a 15-year time period in order to evaluate the effect of the preferred restoration alternative on habitat distribution. Results directly informed engineering design decisions and expedited later project stages including the construction permitting process.","language":"English","publisher":"American Shore and Beach Preservation Association","usgsCitation":"Long, J.W., Dalyander, P., Poff, M., Spears, B., Borne, B., Thompson, D.M., Mickey, R.C., Dartez, S., and Gandy, G., 2020, Event and decadal-scale modeling of barrier island restoration designs for decision support: Shore & Beach, v. 88, no. 1, p. 49-57.","productDescription":"9 p.","startPage":"49","endPage":"57","ipdsId":"IP-115503","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":373548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":373522,"type":{"id":15,"text":"Index Page"},"url":"https://asbpa.org/publications/shore-and-beach/shore-beach-in-2020-vol-88/"}],"volume":"88","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Long, Joseph W. 0000-0003-2912-1992","orcid":"https://orcid.org/0000-0003-2912-1992","contributorId":219235,"corporation":false,"usgs":false,"family":"Long","given":"Joseph","email":"","middleInitial":"W.","affiliations":[{"id":32398,"text":"University of North Carolina Wilmington","active":true,"usgs":false}],"preferred":false,"id":785594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dalyander, P. Soupy 0000-0001-9583-0872","orcid":"https://orcid.org/0000-0001-9583-0872","contributorId":221891,"corporation":false,"usgs":false,"family":"Dalyander","given":"P. Soupy","affiliations":[{"id":40456,"text":"St. Petersburg Coastal and Marine Science Center (Former Employee)","active":true,"usgs":false}],"preferred":false,"id":785595,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poff, Michael","contributorId":223601,"corporation":false,"usgs":false,"family":"Poff","given":"Michael","email":"","affiliations":[{"id":40745,"text":"Coastal Engineering Consultants, Inc.","active":true,"usgs":false}],"preferred":false,"id":785596,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spears, Brian","contributorId":223602,"corporation":false,"usgs":false,"family":"Spears","given":"Brian","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":785597,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Borne, Brett","contributorId":223603,"corporation":false,"usgs":false,"family":"Borne","given":"Brett","email":"","affiliations":[{"id":40745,"text":"Coastal Engineering Consultants, Inc.","active":true,"usgs":false}],"preferred":false,"id":785598,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thompson, David M. 0000-0002-7103-5740 dthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-7103-5740","contributorId":3502,"corporation":false,"usgs":true,"family":"Thompson","given":"David","email":"dthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":785593,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mickey, Rangley C. 0000-0001-5989-1432 rmickey@usgs.gov","orcid":"https://orcid.org/0000-0001-5989-1432","contributorId":141016,"corporation":false,"usgs":true,"family":"Mickey","given":"Rangley","email":"rmickey@usgs.gov","middleInitial":"C.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":785599,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dartez, Steve","contributorId":223604,"corporation":false,"usgs":false,"family":"Dartez","given":"Steve","email":"","affiliations":[{"id":40745,"text":"Coastal Engineering Consultants, Inc.","active":true,"usgs":false}],"preferred":false,"id":785600,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gandy, Gregory","contributorId":223605,"corporation":false,"usgs":false,"family":"Gandy","given":"Gregory","email":"","affiliations":[{"id":13608,"text":"Louisiana Coastal Protection and Restoration Authority","active":true,"usgs":false}],"preferred":false,"id":785601,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70216997,"text":"70216997 - 2020 - A transect through Vermont's most famous volcano - Mount Ascutney","interactions":[],"lastModifiedDate":"2023-03-23T16:18:22.745397","indexId":"70216997","displayToPublicDate":"2019-12-31T09:57:15","publicationYear":"2020","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A transect through Vermont's most famous volcano - Mount Ascutney","docAbstract":"The Cretaceous Ascutney Mountain igneous complex affords a classic exposure of the White Mountain Igneous Suite.  Often called Vermont’s most famous volcano, Mount Ascutney (elev. 3,144 feet, 958 m) stands as a prominent monadnock in the Connecticut River Valley. The mountain often serves as an inspirational landmark, as it does when viewed from locations throughout the valley including the Saint-Gaudens National Historic Site (Walsh, 2017). The Ascutney Mountain igneous complex (Ratcliffe and others, 2011) consists of several mafic to felsic nested plutons including gabbro-diorite exposed at Little Ascutney to the west, and the Ascutney Mountain stock composed of syenite, granite, and related volcanic rocks underlying the main summit to the east (Fig. 1) (Schneiderman, 1989, 1991).  Foland and Faul (1977) and Foland and others (1985) dated the gabbro-diorite complex at 125.5 to 122.2 Ma by K-Ar on biotite and by whole rock Rb/Sr, and dated the syenite-granite complex at 123.2 to 121.4 Ma by K-Ar on biotite.  During the field trip we will visit the host rocks south of the mountain and the main rocks types of the Ascutney Mountain stock exposed near the summit and along the Mount Ascutney toll road.  \n \n Mount Ascutney is the classic location where Daly (1903) discussed the evidence for piecemeal stoping as a pluton emplacement mechanism. This theory was later modified to favor cauldron subsidence, or ring-fracture stoping, as an alternative mode of emplacement (Chapman and Chapman, 1940). Our new mapping (Walsh and others, in press), which supersedes an earlier provisional study (Walsh and others, 1996a, b), supports the cauldron subsidence model, and shows that the main Ascutney Mountain stock is a funnel shaped composite pluton in agreement with geophysical data (Daniels, 1990).  This field guide will primarily highlight the results of the new geologic mapping.\n\n This field guide is modified from a field trip presented in 2017 (Walsh, 2017). Additional stops have been added to examine the host rocks in the region south of the Ascutney Mountain stock. Two hikes are planned as part of this trip. Other NEIGC field trip guides to Mount Ascutney include Stoiber (1954) and Schneiderman (1988).","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"111th New England Intercollegiate Geological Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"111th New England Intercollegiate Geological Conference","conferenceDate":"October 1-13, 2019","conferenceLocation":"Barre, VT","language":"English","publisher":"New England Intercollegiate Geological Conference","usgsCitation":"Walsh, G.J., Proctor, B., Sicard, K.R., and Valley, P.M., 2020, A transect through Vermont's most famous volcano - Mount Ascutney, <i>in</i> 111th New England Intercollegiate Geological Conference, v. 111, Barre, VT, October 1-13, 2019, p. 1-6.","productDescription":"6 p.","startPage":"1","endPage":"6","ipdsId":"IP-109653","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":381650,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":414625,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://neigc.info/guidebooks/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Vermont","otherGeospatial":"Mount Ascutney","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -72.48590469360352,\n              43.4175176458317\n            ],\n            [\n              -72.40299224853516,\n              43.4175176458317\n            ],\n            [\n              -72.40299224853516,\n              43.466002139041116\n            ],\n            [\n              -72.48590469360352,\n              43.466002139041116\n            ],\n            [\n              -72.48590469360352,\n              43.4175176458317\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"111","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Walsh, Gregory J. 0000-0003-4264-8836 gwalsh@usgs.gov","orcid":"https://orcid.org/0000-0003-4264-8836","contributorId":873,"corporation":false,"usgs":true,"family":"Walsh","given":"Gregory","email":"gwalsh@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":807199,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Proctor, Brooks P. 0000-0002-4878-8728 bproctor@usgs.gov","orcid":"https://orcid.org/0000-0002-4878-8728","contributorId":178527,"corporation":false,"usgs":true,"family":"Proctor","given":"Brooks P.","email":"bproctor@usgs.gov","affiliations":[],"preferred":true,"id":807200,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sicard, Karri R. 0000-0003-4062-8030","orcid":"https://orcid.org/0000-0003-4062-8030","contributorId":219210,"corporation":false,"usgs":false,"family":"Sicard","given":"Karri","email":"","middleInitial":"R.","affiliations":[],"preferred":true,"id":807201,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valley, Peter M. 0000-0002-9957-0403 pvalley@usgs.gov","orcid":"https://orcid.org/0000-0002-9957-0403","contributorId":4809,"corporation":false,"usgs":true,"family":"Valley","given":"Peter","email":"pvalley@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":807202,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70208091,"text":"70208091 - 2020 - Establishing high-frequency noise baselines to 100 Hz based on millions of power spectra from IRIS MUSTANG","interactions":[],"lastModifiedDate":"2020-02-06T11:42:11","indexId":"70208091","displayToPublicDate":"2019-12-31T07:16:23","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Establishing high-frequency noise baselines to 100 Hz based on millions of power spectra from IRIS MUSTANG","docAbstract":"Advances in seismic instrumentation have enabled data to be recorded at increasing sample rates.  This has in turn created a need to establish higher-frequency baselines for assessing data quality, as the widely-used New High (NHNM) and Low Noise Models (NLNM) of Peterson (1993) do not extend to frequencies above 10 Hz.  To provide a baseline for higher frequencies (10-100 Hz), we examine power spectral density probability density functions (PSDPDFs) for high-sample-rate stations available from the Incorporated Research Institutions for Seismology Data Services (IRIS DS) MUSTANG quality control system. We compute high-frequency high and low noise baselines by matching the appropriate composite PSDPDF percentile points to NHNM and NLNM power levels at overlapping frequencies (1-10 Hz) and then extending to higher frequencies (10-100 Hz) with piecewise linear fits to the matching PSDPDF percentile.\n\nWe find that the Peterson NLNM remains an accurate representation of the lower bound of global ambient Earth noise since it is matched by only 0.1% of Global Seismographic Network (GSN) PSDs.  We present high-frequency high and low noise baselines intended primarily for use by temporary networks targeting high-frequency signals (e.g. monitoring of aftershocks or induced seismicity) based on statistics of PSDPDFs from all publicly available high-sample-rate data.  \n\nMost publicly-available high-sample-rate data is recorded by temporary deployments, and the experiment design and scientific targets of these deployments strongly influence the observed statistical distribution of high-frequency noise. We anticipate that the noise baselines presented here will be useful in automated quality control of high-sample-rate seismic data.   However, we note that establishing a low noise model that accurately represents the lowest possible ambient Earth noise at frequencies up to 100 Hz will require additional continuous high-sample-rate data from high-quality permanent stations in low-noise environments.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120190123","usgsCitation":"Wolin, E., and McNamara, D., 2020, Establishing high-frequency noise baselines to 100 Hz based on millions of power spectra from IRIS MUSTANG: Bulletin of the Seismological Society of America, v. 110, no. 1, p. 270-278, https://doi.org/10.1785/0120190123.","productDescription":"9 p.","startPage":"270","endPage":"278","ipdsId":"IP-107994","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":371634,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"110","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-12-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Wolin, Emily 0000-0003-1610-1191","orcid":"https://orcid.org/0000-0003-1610-1191","contributorId":221834,"corporation":false,"usgs":true,"family":"Wolin","given":"Emily","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":780442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McNamara, Daniel 0000-0001-6860-0350 mcnamara@usgs.gov","orcid":"https://orcid.org/0000-0001-6860-0350","contributorId":221835,"corporation":false,"usgs":true,"family":"McNamara","given":"Daniel","email":"mcnamara@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":780443,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70208092,"text":"70208092 - 2020 - Integrating multiple data sources and multi-scale land-cover data to model the distribution of a declining amphibian","interactions":[],"lastModifiedDate":"2020-01-27T19:59:37","indexId":"70208092","displayToPublicDate":"2019-12-30T19:58:43","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Integrating multiple data sources and multi-scale land-cover data to model the distribution of a declining amphibian","docAbstract":"Determining the spatial scale at which landscape features influence population persistence is an important task for conservation planning. One challenge is that sampling biases confound factors that influence species occurrence and survey effort. Recent developments in Point Process Models (PPMs) enable researchers to disentangle the sampling process from ecological drivers of species' distributions. Land-cover change is a driver of decline for the western spadefoot (Spea hammondii), which has been extirpated from much of its range in California. Assessing this species' status requires information on the current distribution of suitable habitat within its historical range, but little is known about the effect of the landscape surrounding breeding ponds on spadefoot occurrence. Critically, surveys for western spadefoots often occur along roads, potentially biasing data used to fit species distribution models. We created PPMs integrating historical presence/non-detection and presence-only data for western spadefoots and land-cover data at multiple spatial scales to model the distribution of this species while removing the influence of sampling bias. There was spatial sampling bias in presence-only data; records were more likely to be reported near roads and urban centers and PPMs that removed sampling bias outperformed models that ignored sampling bias. The occurrence of western spadefoots was positively related to the proportion of grassland within a 2000 m buffer. The remaining habitat for western spadefoots is largely found in the foothills surrounding California's Central Valley. Our study illustrates how PPMs can improve projections of habitat suitability and our understanding of the drivers of species' distributions.","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2019.108374","usgsCitation":"Rose, J.P., Halstead, B., and Fisher, R.N., 2020, Integrating multiple data sources and multi-scale land-cover data to model the distribution of a declining amphibian: Biological Conservation, v. 241, 108374, https://doi.org/10.1016/j.biocon.2019.108374.","productDescription":"108374","ipdsId":"IP-108816","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":458282,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2019.108374","text":"Publisher Index Page"},{"id":371628,"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              -122.14599609375001,\n              40.96330795307353\n            ],\n            [\n              -123.06884765625,\n              41.062786068733026\n            ],\n            [\n              -123.15673828124999,\n              39.13006024213511\n            ],\n            [\n              -120.21240234375001,\n              35.06597313798418\n            ],\n            [\n              -117.83935546874999,\n              34.17999758688084\n            ],\n            [\n              -117.00439453125,\n              34.994003757575776\n            ],\n            [\n              -117.97119140625,\n              36.06686213257888\n            ],\n            [\n              -119.2236328125,\n              37.77071473849609\n            ],\n            [\n              -122.14599609375001,\n              40.96330795307353\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"241","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rose, Jonathan P. 0000-0003-0874-9166 jprose@usgs.gov","orcid":"https://orcid.org/0000-0003-0874-9166","contributorId":199339,"corporation":false,"usgs":true,"family":"Rose","given":"Jonathan","email":"jprose@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780445,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780444,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":780446,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70228175,"text":"70228175 - 2020 - Increasing accuracy of lake nutrient predictions in thousands of lakes by leveraging water clarity data","interactions":[],"lastModifiedDate":"2022-02-07T17:50:09.933226","indexId":"70228175","displayToPublicDate":"2019-12-27T11:39:44","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5456,"text":"Limnology and Oceanography Letters","active":true,"publicationSubtype":{"id":10}},"title":"Increasing accuracy of lake nutrient predictions in thousands of lakes by leveraging water clarity data","docAbstract":"<p><span>Aquatic scientists require robust, accurate information about nutrient concentrations and indicators of algal biomass in unsampled lakes in order to understand and predict the effects of global climate and land-use change. Historically, lake and landscape characteristics have been used as predictor variables in regression models to generate nutrient predictions, but often with significant uncertainty. An alternative approach to improve predictions is to leverage the observed relationship between water clarity and nutrients, which is possible because water clarity is more commonly measured than lake nutrients. We used a joint-nutrient model that conditioned predictions of total phosphorus, nitrogen, and chlorophyll </span><i>a</i><span>&nbsp;on observed water clarity. Our results demonstrated substantial reductions (8–27%; median = 23%) in prediction error when conditioning on water clarity. These models will provide new opportunities for predicting nutrient concentrations of unsampled lakes across broad spatial scales with reduced uncertainty.</span></p>","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lol2.10134","usgsCitation":"Wagner, T., Noah R., O.L., Bartley, M.L., Hanks, E., Schliep, E.M., Wikle, N.B., King, K.B., McCullough, I., Stachelek, J., Cheruvelil, K.S., Filstrup, C.T., Lapierre, J., Liu, B., Sorrano, P., Tan, P., Wang, Q., Webster, K., and Zhou, J., 2020, Increasing accuracy of lake nutrient predictions in thousands of lakes by leveraging water clarity data: Limnology and Oceanography Letters, v. 5, no. 2, p. 228-235, https://doi.org/10.1002/lol2.10134.","productDescription":"8 p.","startPage":"228","endPage":"235","ipdsId":"IP-109351","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":488957,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lol2.10134","text":"Publisher Index Page"},{"id":395550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-12-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":833307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noah R., oa Lottig Lottig","contributorId":274769,"corporation":false,"usgs":false,"family":"Noah R.","given":"oa","suffix":"Lottig","email":"","middleInitial":"Lottig","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":833308,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bartley, Meridith L.","contributorId":274772,"corporation":false,"usgs":false,"family":"Bartley","given":"Meridith","email":"","middleInitial":"L.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":833309,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanks, Ephraim M.","contributorId":274775,"corporation":false,"usgs":false,"family":"Hanks","given":"Ephraim M.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":833310,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schliep, Erin M.","contributorId":274778,"corporation":false,"usgs":false,"family":"Schliep","given":"Erin","email":"","middleInitial":"M.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":833311,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wikle, Nathan B.","contributorId":274780,"corporation":false,"usgs":false,"family":"Wikle","given":"Nathan","email":"","middleInitial":"B.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":833312,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"King, Katelyn B. S.","contributorId":274782,"corporation":false,"usgs":false,"family":"King","given":"Katelyn","email":"","middleInitial":"B. S.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":833313,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McCullough, Ian","contributorId":274784,"corporation":false,"usgs":false,"family":"McCullough","given":"Ian","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":833314,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stachelek, Jemma","contributorId":274864,"corporation":false,"usgs":false,"family":"Stachelek","given":"Jemma","email":"","affiliations":[],"preferred":false,"id":833315,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cheruvelil, Kendra S.","contributorId":172029,"corporation":false,"usgs":false,"family":"Cheruvelil","given":"Kendra","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":833316,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Filstrup, Christopher T.","contributorId":169032,"corporation":false,"usgs":false,"family":"Filstrup","given":"Christopher","email":"","middleInitial":"T.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":833440,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lapierre, Jean-Francois","contributorId":264522,"corporation":false,"usgs":false,"family":"Lapierre","given":"Jean-Francois","affiliations":[{"id":54487,"text":"University of Montreal","active":true,"usgs":false}],"preferred":false,"id":833441,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Liu, Boyang","contributorId":274865,"corporation":false,"usgs":false,"family":"Liu","given":"Boyang","email":"","affiliations":[],"preferred":false,"id":833442,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sorrano, Patricia","contributorId":204929,"corporation":false,"usgs":false,"family":"Sorrano","given":"Patricia","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":833443,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Tan, Pang-Ning","contributorId":172193,"corporation":false,"usgs":false,"family":"Tan","given":"Pang-Ning","affiliations":[],"preferred":false,"id":833444,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Wang, Q.","contributorId":83761,"corporation":false,"usgs":true,"family":"Wang","given":"Q.","affiliations":[],"preferred":false,"id":833445,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Webster, Katherine","contributorId":274866,"corporation":false,"usgs":false,"family":"Webster","given":"Katherine","affiliations":[],"preferred":false,"id":833446,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Zhou, Jiayu","contributorId":204926,"corporation":false,"usgs":false,"family":"Zhou","given":"Jiayu","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":833447,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70222540,"text":"70222540 - 2020 - Metal bioavailability models: Current status, lessons learned, considerations for regulatory use, and the path forward","interactions":[],"lastModifiedDate":"2021-08-03T13:47:20.331188","indexId":"70222540","displayToPublicDate":"2019-12-27T08:45:36","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Metal bioavailability models: Current status, lessons learned, considerations for regulatory use, and the path forward","docAbstract":"<p><span>Since the early 2000s, biotic ligand models and related constructs have been a dominant paradigm for risk assessment of aqueous metals in the environment. We critically review 1) the evidence for the mechanistic approach underlying metal bioavailability models; 2) considerations for the use and refinement of bioavailability-based toxicity models; 3) considerations for the incorporation of metal bioavailability models into environmental quality standards; and 4) some consensus recommendations for developing or applying metal bioavailability models. We note that models developed to date have been particularly challenged to accurately incorporate pH effects because they are unique with multiple possible mechanisms. As such, we doubt it is ever appropriate to lump algae/plant and animal bioavailability models; however, it is often reasonable to lump bioavailability models for animals, although aquatic insects may be an exception. Other recommendations include that data generated for model development should consider equilibrium conditions in exposure designs, including food items in combined waterborne–dietary matched chronic exposures. Some potentially important toxicity-modifying factors are currently not represented in bioavailability models and have received insufficient attention in toxicity testing. Temperature is probably of foremost importance; phosphate is likely important in plant and algae models. Acclimation may result in predictions that err on the side of protection. Striking a balance between comprehensive, mechanistically sound models and simplified approaches is a challenge. If empirical bioavailability tools such as multiple-linear regression models and look-up tables are employed in criteria, they should always be informed qualitatively and quantitatively by mechanistic models. If bioavailability models are to be used in environmental regulation, ongoing support and availability for use of the models in the public domain are essential.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/etc.4560","usgsCitation":"Mebane, C.A., Chowdhury, M., De Schamphelaere, K.A., Lofts, S., Paquin, P.R., Santore, R.C., and Wood, C.M., 2020, Metal bioavailability models: Current status, lessons learned, considerations for regulatory use, and the path forward: Environmental Toxicology and Chemistry, v. 39, no. 1, p. 60-84, https://doi.org/10.1002/etc.4560.","productDescription":"25 p.","startPage":"60","endPage":"84","ipdsId":"IP-110208","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":458289,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.4560","text":"Publisher Index Page"},{"id":387661,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-01-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Mebane, Christopher A. 0000-0002-9089-0267 cmebane@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-0267","contributorId":110,"corporation":false,"usgs":true,"family":"Mebane","given":"Christopher","email":"cmebane@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":820503,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chowdhury, M. Jasim","contributorId":261730,"corporation":false,"usgs":false,"family":"Chowdhury","given":"M. Jasim","affiliations":[{"id":52970,"text":"International Lead Association, Durham, North Carolina, USA","active":true,"usgs":false}],"preferred":false,"id":820504,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"De Schamphelaere, Karel A.C.","contributorId":261731,"corporation":false,"usgs":false,"family":"De Schamphelaere","given":"Karel","email":"","middleInitial":"A.C.","affiliations":[{"id":52971,"text":"Ghent University, Gent, Belgium","active":true,"usgs":false}],"preferred":false,"id":820505,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lofts, Stephen","contributorId":261732,"corporation":false,"usgs":false,"family":"Lofts","given":"Stephen","email":"","affiliations":[{"id":52972,"text":"Centre for Ecology and Hydrology, Bailrigg, Lancaster, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":820506,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Paquin, Paul R.","contributorId":261733,"corporation":false,"usgs":false,"family":"Paquin","given":"Paul","email":"","middleInitial":"R.","affiliations":[{"id":52973,"text":"HDR, New York, New York, USA","active":true,"usgs":false}],"preferred":false,"id":820507,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Santore, Robert C.","contributorId":202449,"corporation":false,"usgs":false,"family":"Santore","given":"Robert","email":"","middleInitial":"C.","affiliations":[{"id":36447,"text":"Windward Environmental LLC, Syracuse, NY","active":true,"usgs":false}],"preferred":false,"id":820508,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wood, Chris M.","contributorId":261734,"corporation":false,"usgs":false,"family":"Wood","given":"Chris","email":"","middleInitial":"M.","affiliations":[{"id":52974,"text":"University of British Columbia, Vancouver, British Columbia, Canada.","active":true,"usgs":false}],"preferred":false,"id":820509,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70208100,"text":"70208100 - 2020 - Thresholds for post-wildfire debris flows: Insights from the Pinal Fire, Arizona, USA","interactions":[],"lastModifiedDate":"2020-06-04T16:48:14.988077","indexId":"70208100","displayToPublicDate":"2019-12-27T07:11:25","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Thresholds for post-wildfire debris flows: Insights from the Pinal Fire, Arizona, USA","docAbstract":"Wildfire significantly alters the hydrologic properties of a burned area, leading to increases in overland flow, erosion, and the potential for runoff-generated debris flows. The initiation of debris flows in recently burned areas is well-characterized by rainfall intensity-duration (ID) thresholds. However, there is currently a paucity of data quantifying the rainfall intensities required to trigger post-wildfire debris flows, which limits our understanding of how and why rainfall ID thresholds vary in different climatic and geologic settings. In this study, we monitored debris-flow activity following the Pinal Fire in central Arizona, which differs from both a climatic and hydrogeomorphic perspective from other regions in the western U.S. where ID thresholds for post-wildfire debris flows are well-established, namely the Transverse Ranges of southern CA. Since the peak rainfall intensity within a rainstorm may exceed the rainfall intensity required to trigger a debris flow, the development of robust rainfall ID thresholds requires knowledge of the timing of debris flows within rainstorms. Existing post-wildfire debris-flow studies in Arizona only constrain the peak rainfall intensity within debris-flow-producing storms, which may far exceed the intensity that actually triggered the observed debris flow. In this study, we used pressure transducers within 5 burned drainage basins to constrain the timing of debris flows within rainstorms. Rainfall ID thresholds derived here from triggering rainfall intensities are, on average, 22 mm/h lower than ID thresholds derived under the assumption that the triggering intensity is equal to the maximum rainfall intensity recorded during a rainstorm. We then use a hydrologic model to demonstrate that the magnitude of the 15-minute rainfall ID threshold at the Pinal Fire site is associated with the rainfall intensity required to exceed a recently proposed dimensionless discharge threshold for debris-flow initiation. Model results further suggest that previously observed differences in regional ID thresholds between Arizona and the San Gabriel Mountains of southern CA may be attributed, in large part, to differences in the hydraulic properties of burned soils.","language":"English","publisher":"Wiley","doi":"10.1002/esp.4805","usgsCitation":"Raymond, C.A., McGuire, L.A., Youberg, A.M., Staley, D.M., and Kean, J.W., 2020, Thresholds for post-wildfire debris flows: Insights from the Pinal Fire, Arizona, USA: Earth Surface Processes and Landforms, v. 45, no. 6, p. 1349-1360, https://doi.org/10.1002/esp.4805.","productDescription":"12 p.","startPage":"1349","endPage":"1360","ipdsId":"IP-112967","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":371633,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.994873046875,\n              33.25936011503665\n            ],\n            [\n              -110.60348510742188,\n              33.25936011503665\n            ],\n            [\n              -110.60348510742188,\n              33.543683878655926\n            ],\n            [\n              -110.994873046875,\n              33.543683878655926\n            ],\n            [\n              -110.994873046875,\n              33.25936011503665\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"45","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Raymond, Carissa A","contributorId":221837,"corporation":false,"usgs":false,"family":"Raymond","given":"Carissa","email":"","middleInitial":"A","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":780463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, Luke A. 0000-0001-8178-7922 lmcguire@usgs.gov","orcid":"https://orcid.org/0000-0001-8178-7922","contributorId":203420,"corporation":false,"usgs":false,"family":"McGuire","given":"Luke","email":"lmcguire@usgs.gov","middleInitial":"A.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":780464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Youberg, Ann M. 0000-0002-2005-3674","orcid":"https://orcid.org/0000-0002-2005-3674","contributorId":172609,"corporation":false,"usgs":false,"family":"Youberg","given":"Ann","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":true,"id":780465,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":780466,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":780462,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70211487,"text":"70211487 - 2020 - Local climate determines vulnerability to camouflage mismatch in snowshoe hares","interactions":[],"lastModifiedDate":"2020-07-29T00:55:17.688689","indexId":"70211487","displayToPublicDate":"2019-12-26T19:45:25","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1839,"text":"Global Ecology and Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Local climate determines vulnerability to camouflage mismatch in snowshoe hares","docAbstract":"<h3 id=\"geb13049-sec-0001-title\" class=\"article-section__sub-title section1\">Aim</h3><p>Phenological mismatches, when life‐events become mistimed with optimal environmental conditions, have become increasingly common under climate change. Population‐level susceptibility to mismatches depends on how phenology and phenotypic plasticity vary across a species’ distributional range. Here, we quantify the environmental drivers of colour moult phenology, phenotypic plasticity, and the extent of phenological mismatch in seasonal camouflage to assess vulnerability to mismatch in a common North American mammal.</p><h3 id=\"geb13049-sec-0002-title\" class=\"article-section__sub-title section1\">Location</h3><p>North America.</p><h3 id=\"geb13049-sec-0003-title\" class=\"article-section__sub-title section1\">Time period</h3><p>2010–2017.</p><h3 id=\"geb13049-sec-0004-title\" class=\"article-section__sub-title section1\">Major taxa studied</h3><p>Snowshoe hare (<i>Lepus americanus<span>&nbsp;</span></i>).</p><h3 id=\"geb13049-sec-0005-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We used &gt;&nbsp;5,500 by‐catch photographs of snowshoe hares from 448 remote camera trap sites at three independent study areas. To quantify moult phenology and phenotypic plasticity, we used multinomial logistic regression models that incorporated geospatial and high‐resolution climate data. We estimated occurrence of camouflage mismatch between hares’ coat colour and the presence and absence of snow over 7&nbsp;years of monitoring.</p><h3 id=\"geb13049-sec-0006-title\" class=\"article-section__sub-title section1\">Results</h3><p>Spatial and temporal variation in moult phenology depended on local climate conditions more so than on latitude. First, hares in colder, snowier areas moulted earlier in the fall and later in the spring. Next, hares exhibited phenotypic plasticity in moult phenology in response to annual variation in temperature and snow duration, especially in the spring. Finally, the occurrence of camouflage mismatch varied in space and time; white hares on dark, snowless background occurred primarily during low‐snow years in regions characterized by shallow, short‐lasting snowpack.</p><h3 id=\"geb13049-sec-0007-title\" class=\"article-section__sub-title section1\">Main conclusions</h3><p>Long‐term climate and annual variation in snow and temperature determine coat colour moult phenology in snowshoe hares. In most areas, climate change leads to shorter snow seasons, but the occurrence of camouflage mismatch varies across the species’ range. Our results underscore the population‐specific susceptibility to climate change‐induced stressors and the necessity to understand this variation to prioritize the populations most vulnerable under global environmental change.</p>","language":"English","publisher":"Wiley","doi":"10.1111/geb.13049","usgsCitation":"Zimova, M., Siren, A., Nowak, J.J., Bryan, A., Ivan, J., Morelli, T.L., Suhrer, S.L., Whittington, J., and Mills, L.S., 2020, Local climate determines vulnerability to camouflage mismatch in snowshoe hares: Global Ecology and Biogeography, v. 29, no. 3, p. 503-515, https://doi.org/10.1111/geb.13049.","productDescription":"13 p.","startPage":"503","endPage":"515","ipdsId":"IP-112695","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":467307,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/geb.13049","text":"External Repository"},{"id":376822,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.16796875,\n              39.774769485295465\n            ],\n            [\n              -63.10546874999999,\n              43.70759350405294\n            ],\n            [\n              -50.9765625,\n              48.10743118848039\n            ],\n            [\n              -61.87499999999999,\n              57.42129439209407\n            ],\n            [\n              -74.53125,\n              59.355596110016315\n            ],\n            [\n              -78.22265625,\n              59.085738569819505\n            ],\n            [\n              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K.","contributorId":236810,"corporation":false,"usgs":false,"family":"Siren","given":"Alexej P. K.","affiliations":[],"preferred":false,"id":794286,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nowak, Joshua J.","contributorId":236829,"corporation":false,"usgs":false,"family":"Nowak","given":"Joshua","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":794287,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bryan, Alexander 0000-0003-2040-7636 abryan@usgs.gov","orcid":"https://orcid.org/0000-0003-2040-7636","contributorId":168822,"corporation":false,"usgs":true,"family":"Bryan","given":"Alexander","email":"abryan@usgs.gov","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":794290,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ivan, Jacob S.","contributorId":200243,"corporation":false,"usgs":false,"family":"Ivan","given":"Jacob S.","affiliations":[],"preferred":false,"id":794284,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morelli, Toni Lyn 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":197458,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"Lyn","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":794289,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Suhrer, Skyler L.","contributorId":236830,"corporation":false,"usgs":false,"family":"Suhrer","given":"Skyler","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":794367,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Whittington, Jesse","contributorId":179372,"corporation":false,"usgs":false,"family":"Whittington","given":"Jesse","email":"","affiliations":[],"preferred":false,"id":794368,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mills, L. Scott","contributorId":236757,"corporation":false,"usgs":false,"family":"Mills","given":"L.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":794288,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70208469,"text":"70208469 - 2020 - Microbial source tracking (MST) in Chattahoochee River National Recreation Area: Seasonal and precipitation trends in MST marker concentrations, and associations with E. coli levels, pathogenic marker presence, and land use","interactions":[],"lastModifiedDate":"2020-02-11T10:05:32","indexId":"70208469","displayToPublicDate":"2019-12-26T10:04:22","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Microbial source tracking (MST) in Chattahoochee River National Recreation Area: Seasonal and precipitation trends in MST marker concentrations, and associations with <i>E. coli</i> levels, pathogenic marker presence, and land use","title":"Microbial source tracking (MST) in Chattahoochee River National Recreation Area: Seasonal and precipitation trends in MST marker concentrations, and associations with E. coli levels, pathogenic marker presence, and land use","docAbstract":"<p><i>Escherichia coli</i><span>&nbsp;levels in recreational waters are often used to predict when fecal-associated pathogen levels are a human health risk. The reach of the Chattahoochee River that flows through the Chattahoochee River National Recreation Area (CRNRA), located in the Atlanta-metropolitan area, is a popular recreation area that frequently exceeds the U.S. Environmental Protection Agency beach action value (BAV) for&nbsp;</span><i>E.&nbsp;coli</i><span>. A BacteriALERT program has been implemented to provide real-time&nbsp;</span><i>E.&nbsp;coli</i><span>&nbsp;estimates in the reach and notify the public of potentially harmful levels of fecal-associated pathogens as indicated by surrogate models based on real-time turbidity measurements from continuous water quality monitoring stations. However,&nbsp;</span><i>E.&nbsp;coli</i><span>&nbsp;does not provide information about the sources of fecal contamination and its accuracy as a human health indicator is questionable when sources of contamination are non-human. The objectives of our study were to investigate, within the Park and surrounding watersheds, seasonal and precipitation-related patterns in microbial source tracking marker concentrations of possible sources (human, dog, and ruminant), assess correlations between source contamination levels and culturable&nbsp;</span><i>E.&nbsp;coli</i><span>&nbsp;levels, determine which sources best explained model-based&nbsp;</span><i>E.&nbsp;coli</i><span>&nbsp;estimates above the BAV and detection of esp2 (a marker for the&nbsp;</span><i>esp</i><span>&nbsp;gene associated with pathogenic strains of&nbsp;</span><i>Enterococcus faecium</i><span>&nbsp;and&nbsp;</span><i>Enterococcus faecalis)</i><span>, and investigate associations between source contamination levels and land use features. Three BacteriALERT sites on the Chattahoochee River were sampled six times per season in the winter and summer from December 2015 through September 2017, and 11 additional stream sites (synoptic sites) from the CRNRA watershed were sampled once per season. Samples were screened with microbial source tracking (MST) quantitative PCR (qPCR) markers for humans (HF183 Taqman), dogs (DogBact), and ruminants (Rum2Bac), the esp2 qPCR marker, and culturable&nbsp;</span><i>E.&nbsp;coli.</i><span>&nbsp;At the BacteriALERT sites, HF183 Taqman concentrations were higher under wet conditions DogBact concentrations were greater in the winter and under wet conditions, and Rum2Bac concentrations were comparatively low throughout the study with no difference across seasons or precipitation conditions. Concentrations of HF183 Taqman, DogBact, and Rum2Bac were positively correlated with culturable&nbsp;</span><i>E.&nbsp;coli</i><span>&nbsp;concentrations; however, DogBact had the largest R</span><sup>2</sup><span>&nbsp;value among the three markers, and the forward stepwise regression indicated it was the best predictor of culturable&nbsp;</span><i>E.&nbsp;coli</i><span>&nbsp;concentrations at the BacteriALERT sites. Recursive partitioning indicated that BAV exceedances of model-based&nbsp;</span><i>E.&nbsp;coli</i><span>&nbsp;estimates were best explained by DogBact concentrations ≥3 gene copies per mL (CN/mL). Detections of esp2 at BacteriALERT sites were best explained by DogBact concentrations ≥11 CN/mL, while detections of esp2 at synoptic sites were best explained by HF183 Taqman ≥29 CN/mL. At the synoptic sites, HF183 Taqman levels were associated with wastewater treatment plant density. However, this relationship was driven primarily by a single site, suggesting possible conveyance issues in that catchment. esp2 detections at synoptic sites were positively associated with development within a 2-km radius and negatively associated with development within the catchment, suggesting multiple sources of esp2 in the watershed. DogBact and Rum2Bac were not associated with the land use features included in our analyses. Implications for Park management include: 1) fecal contamination levels were highest during wet conditions and in the off season when fewer visitors are expected to be participating in water-based recreation, 2) dogs are likely contributors to fecal contamination in the CRNRA and may be sources of pathogenic bacteria indicating further investigation of the origins of this contamination may be warranted as would be research to understand the human health risks from exposure to dog fecal contamination, and 3) high levels of the human marker at one site in the CRNRA watershed suggests more extensive monitoring in that catchment may locate the origin of human fecal contamination detected during this study.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2019.115435","usgsCitation":"McKee, A.M., Molina, M., Cyterski, M., and Couch, A., 2020, Microbial source tracking (MST) in Chattahoochee River National Recreation Area: Seasonal and precipitation trends in MST marker concentrations, and associations with E. coli levels, pathogenic marker presence, and land use: Water Research, v. 171, 115435, 12 p., https://doi.org/10.1016/j.watres.2019.115435.","productDescription":"115435, 12 p.","ipdsId":"IP-105660","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":458294,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.watres.2019.115435","text":"Publisher Index Page"},{"id":437182,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P957P46S","text":"USGS data release","linkHelpText":"Microbial Source Tracking Marker Concentrations in the Chattahoochee River National Recreation Area Watershed in 2015-2017, Georgia, USA"},{"id":372227,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Chattahoochee River National Recreation Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.51370239257812,\n              33.90347621404078\n            ],\n            [\n              -83.91769409179688,\n              33.90347621404078\n            ],\n            [\n              -83.91769409179688,\n              34.250405862125\n            ],\n            [\n              -84.51370239257812,\n              34.250405862125\n            ],\n            [\n              -84.51370239257812,\n              33.90347621404078\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"171","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McKee, Anna M. 0000-0003-2790-5320 amckee@usgs.gov","orcid":"https://orcid.org/0000-0003-2790-5320","contributorId":166725,"corporation":false,"usgs":true,"family":"McKee","given":"Anna","email":"amckee@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":782032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Molina, Marirosa","contributorId":220538,"corporation":false,"usgs":false,"family":"Molina","given":"Marirosa","email":"","affiliations":[{"id":13529,"text":"US Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":782033,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cyterski, Mike","contributorId":222389,"corporation":false,"usgs":false,"family":"Cyterski","given":"Mike","email":"","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":782034,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Couch, Ann","contributorId":222390,"corporation":false,"usgs":false,"family":"Couch","given":"Ann","email":"","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":782035,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70227717,"text":"70227717 - 2020 - Spatial sampling bias and model complexity in stream-based species distribution models: A case study of Paddlefish (Polyodon spathula) in the Arkansas River basin, USA","interactions":[],"lastModifiedDate":"2022-01-27T16:55:07.591983","indexId":"70227717","displayToPublicDate":"2019-12-25T10:48:41","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7470,"text":"Ecology & Evolution","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Spatial sampling bias and model complexity in stream-based species distribution models: A case study of Paddlefish (<i>Polyodon spathula</i>) in the Arkansas River basin, USA","title":"Spatial sampling bias and model complexity in stream-based species distribution models: A case study of Paddlefish (Polyodon spathula) in the Arkansas River basin, USA","docAbstract":"<p><span>Leveraging existing presence records and geospatial datasets, species distribution modeling has been widely applied to informing species conservation and restoration efforts. Maxent is one of the most popular modeling algorithms, yet recent research has demonstrated Maxent models are vulnerable to prediction errors related to spatial sampling bias and model complexity. Despite elevated rates of biodiversity imperilment in stream ecosystems, the application of Maxent models to stream networks has lagged, as has the availability of tools to address potential sources of error and calculate model evaluation metrics when modeling in nonraster environments (such as stream networks). Herein, we use Maxent and customized R code to estimate the potential distribution of paddlefish (</span><i>Polyodon spathula</i><span>) at a stream-segment level within the Arkansas River basin, USA, while accounting for potential spatial sampling bias and model complexity. Filtering the presence data appeared to adequately remove an eastward, large-river sampling bias that was evident within the unfiltered presence dataset. In particular, our novel riverscape filter provided a repeatable means of obtaining a relatively even coverage of presence data among watersheds and streams of varying sizes. The greatest differences in estimated distributions were observed among models constructed with default versus AIC</span><sub>C</sub><span>-selected parameterization. Although all models had similarly high performance and evaluation metrics, the AIC</span><sub>C</sub><span>-selected models were more inclusive of westward-situated and smaller, headwater streams. Overall, our results solidified the importance of accounting for model complexity and spatial sampling bias in SDMs constructed within stream networks and provided a roadmap for future paddlefish restoration efforts in the study area.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.5913","usgsCitation":"Taylor, A., Hafen, T., Holley, C.T., Gonzalez, A., and Long, J.M., 2020, Spatial sampling bias and model complexity in stream-based species distribution models: A case study of Paddlefish (Polyodon spathula) in the Arkansas River basin, USA: Ecology & Evolution, v. 10, no. 2, p. 705-717, https://doi.org/10.1002/ece3.5913.","productDescription":"13 p.","startPage":"705","endPage":"717","ipdsId":"IP-108639","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":458296,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.5913","text":"Publisher Index Page"},{"id":394979,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Colorado, Kansas, Missouri, Nebraska, New Mexico, Texas","otherGeospatial":"Arkansas River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -107.314453125,\n              34.08906131584994\n            ],\n            [\n              -91.845703125,\n              34.08906131584994\n            ],\n            [\n              -91.845703125,\n              39.30029918615029\n            ],\n            [\n              -107.314453125,\n              39.30029918615029\n            ],\n            [\n              -107.314453125,\n              34.08906131584994\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-12-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Taylor, A. T.","contributorId":264887,"corporation":false,"usgs":false,"family":"Taylor","given":"A. T.","affiliations":[{"id":54572,"text":"University of Central Oklahoma","active":true,"usgs":false}],"preferred":false,"id":831896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hafen, T.","contributorId":272271,"corporation":false,"usgs":false,"family":"Hafen","given":"T.","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":831897,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holley, Colt Taylor 0000-0003-4172-4331","orcid":"https://orcid.org/0000-0003-4172-4331","contributorId":272272,"corporation":false,"usgs":true,"family":"Holley","given":"Colt","email":"","middleInitial":"Taylor","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":831898,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gonzalez, A.","contributorId":272273,"corporation":false,"usgs":false,"family":"Gonzalez","given":"A.","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":831899,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":831900,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70209448,"text":"70209448 - 2020 - Environmental tracer evidence for connection between shallow and bedrock aquifers and high intrinsic susceptibility to contamination of the conterminous U.S. glacial aquifer","interactions":[],"lastModifiedDate":"2020-05-04T18:29:03.706787","indexId":"70209448","displayToPublicDate":"2019-12-23T07:20:35","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Environmental tracer evidence for connection between shallow and bedrock aquifers and high intrinsic susceptibility to contamination of the conterminous U.S. glacial aquifer","docAbstract":"Covering a large portion of the northern conterminous United States (1.87 x 106 km2), the glacial aquifer serves as the primary water supply for 39 million public and domestic water users. Mean groundwater age, groundwater age distribution, and susceptibility to land surface contamination, using a new metric (Susceptibility Index; SI) based on the full age distribution and less prone to bias than estimated mean age, is reported for 168 public and domestic wells across the aquifer. Comparison of groundwater age metrics between well networks of varying spatial scale suggest an extensive sample network of equally spaced, long screened interval wells can be used to characterize aquifer wide groundwater age. Estimated mean age ranges from 1 to 50,000 years and, according to the composite age distribution, approximately 63 percent of all sampled water recharged after 1950 (i.e., modern) and 18 percent of the sampled water was recharged greater than 10,000 years ago. The later finding strongly suggests a connection between the glacial aquifer and underlying bedrock aquifers. Statistical analysis of glacial aquifer hydrogeology and age metrics show groundwater ages are young (less than few 100 years) and more susceptible to land surface contamination (larger SI) in unconfined and shallow portions of the aquifer. Old groundwater (greater than 1000 years) is more often associated with thicker sequences of fine grain sediments and/or shallow bedrock. Calculated SI is shown to be more strongly related to the number of land surface contaminants detected than mean age or fraction modern. Statistical analysis of SI and hydrogeology indicates SI is largely dictated by well depth and confinement. This study demonstrates how sample network design can be used to characterize groundwater age of large aquifers with a limited number of samples and how interpretation of environmental tracers can be used to improve conceptual models of groundwater aquifers and identify groundwater susceptible to contamination.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2019.124505","collaboration":"","usgsCitation":"Solder, J.E., Jurgens, B., Stackelberg, P.E., and Shope, C., 2020, Environmental tracer evidence for connection between shallow and bedrock aquifers and high intrinsic susceptibility to contamination of the conterminous U.S. glacial aquifer: Journal of Hydrology, v. 583, 124505, 12 p., https://doi.org/10.1016/j.jhydrol.2019.124505.","productDescription":"124505, 12 p.","ipdsId":"IP-090099","costCenters":[{"id":610,"text":"Utah Water Science 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0000-0002-0660-3326","orcid":"https://orcid.org/0000-0002-0660-3326","contributorId":201953,"corporation":false,"usgs":true,"family":"Solder","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":786516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jurgens, Bryant C. 0000-0002-1572-113X","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":203409,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant","middleInitial":"C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":786517,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stackelberg, Paul E. 0000-0002-1818-355X","orcid":"https://orcid.org/0000-0002-1818-355X","contributorId":204864,"corporation":false,"usgs":true,"family":"Stackelberg","given":"Paul","middleInitial":"E.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":786518,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shope, Christopher L. 0000-0003-4209-049X","orcid":"https://orcid.org/0000-0003-4209-049X","contributorId":223873,"corporation":false,"usgs":false,"family":"Shope","given":"Christopher L.","affiliations":[{"id":40783,"text":"State of Utah Department of Environmental Quality","active":true,"usgs":false}],"preferred":false,"id":786519,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70207547,"text":"70207547 - 2020 - An experimental evaluation of the feasibility of inferring concentrations of a visible tracer dye from remotely sensed data in turbid rivers","interactions":[],"lastModifiedDate":"2019-12-24T12:08:16","indexId":"70207547","displayToPublicDate":"2019-12-22T11:55:27","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"An experimental evaluation of the feasibility of inferring concentrations of a visible tracer dye from remotely sensed data in turbid rivers","docAbstract":"The movement of contaminants and biota within river channels is influenced by the flow field via various processes of dispersion.  Understanding and modeling of these processes thus can facilitate applications ranging from the prediction of travel times for spills of toxic materials to the simulation of larval drift for endangered species of fish. A common means of examining dispersion in rivers involves conducting tracer experiments with a visible tracer dye.  Whereas  conventional in situ instruments can only measure variations in dye concentration over time at specific, fixed locations, remote sensing could  provide more detailed, spatially distributed information for characterizing dispersion patterns and validating two-dimensional numerical models. Although previous studies have demonstrated the potential to infer dye concentrations from remotely sensed data in clear-flowing streams, whether this approach can be applied to more turbid rivers remains an open question. To evaluate the feasibility of mapping spatial patterns of dispersion in streams with greater turbidity, we conducted an experiment that involved manipulating dye concentration and turbidity while acquiring field spectra and hyperspectral and RGB (red, green, blue) images from a small Unoccupied Aircraft System (sUAS).  Applying an Optimal Band Ratio Analysis (OBRA) algorithm to these data sets indicated strong relationships between reflectance (i.e., water color) and Rhodamine WT dye concentration across four different turbidity levels from 40-60 NTU. Moreover, we obtained high correlations between spectrally based quantities (i.e., band ratios) and dye concentration for the original, essentially continuous field spectra; field spectra resampled to the bands of a five-band imaging system and an RGB camera; and both hyperspectral and RGB images acquired from a sUAS during the experiment.  The results of this study thus confirmed the potential to map dispersion patterns of tracer dye via remote sensing and suggested that this approach can be extended to more turbid rivers than those examined previously.","language":"English","publisher":"MDPI","doi":"10.3390/rs12010057","usgsCitation":"Legleiter, C.J., Manley, P., Erwin, S.O., and Bulliner, E.A., 2020, An experimental evaluation of the feasibility of inferring concentrations of a visible tracer dye from remotely sensed data in turbid rivers: Remote Sensing, v. 12, no. 1, 57, 21 p., https://doi.org/10.3390/rs12010057.","productDescription":"57, 21 p.","ipdsId":"IP-112896","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":458311,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs12010057","text":"Publisher Index Page"},{"id":437185,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91ZRGKQ","text":"USGS data release","linkHelpText":"Field spectra, UAS-based hyperspectral and RGB images, and in situ measurements of turbidity and Rhodamine WT dye concentration from an experiment conducted at the USGS Columbia Environmental Research Center, Columbia, MO, on April 2, 2019"},{"id":370672,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","city":"Columbia","otherGeospatial":"Columbia Environmental Research Center","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.28494167327881,\n              38.905995699991145\n            ],\n            [\n              -92.27007150650024,\n              38.905995699991145\n            ],\n            [\n              -92.27007150650024,\n              38.91711561447239\n            ],\n            [\n              -92.28494167327881,\n              38.91711561447239\n            ],\n            [\n              -92.28494167327881,\n              38.905995699991145\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":778425,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manley, Paul 0000-0001-6062-1149","orcid":"https://orcid.org/0000-0001-6062-1149","contributorId":221490,"corporation":false,"usgs":false,"family":"Manley","given":"Paul","email":"","affiliations":[{"id":37501,"text":"Missouri University of Science and Technology","active":true,"usgs":false}],"preferred":false,"id":778426,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erwin, Susannah O. 0000-0002-2799-0118 serwin@usgs.gov","orcid":"https://orcid.org/0000-0002-2799-0118","contributorId":5183,"corporation":false,"usgs":true,"family":"Erwin","given":"Susannah","email":"serwin@usgs.gov","middleInitial":"O.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":778427,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bulliner, Edward A. 0000-0002-2774-9295 ebulliner@usgs.gov","orcid":"https://orcid.org/0000-0002-2774-9295","contributorId":4983,"corporation":false,"usgs":true,"family":"Bulliner","given":"Edward","email":"ebulliner@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":778428,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70215153,"text":"70215153 - 2020 - A hydrologic landscapes perspective on groundwater connectivity of depressional wetlands","interactions":[],"lastModifiedDate":"2020-10-08T14:52:59.912851","indexId":"70215153","displayToPublicDate":"2019-12-21T09:46:32","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"A hydrologic landscapes perspective on groundwater connectivity of depressional wetlands","docAbstract":"<div class=\"art-abstract in-tab hypothesis_container\">Research into processes governing the hydrologic connectivity of depressional wetlands has advanced rapidly in recent years. Nevertheless, a need persists for broadly applicable, non-site-specific guidance to facilitate further research. Here, we explicitly use the hydrologic landscapes theoretical framework to develop broadly applicable conceptual knowledge of depressional-wetland hydrologic connectivity. We used a numerical model to simulate the groundwater flow through five generic hydrologic landscapes. Next, we inserted depressional wetlands into the generic landscapes and repeated the modeling exercise. The results strongly characterize groundwater connectivity from uplands to lowlands as being predominantly indirect. Groundwater flowed from uplands and most of it was discharged to the surface at a concave-upward break in slope, possibly continuing as surface water to lowlands. Additionally, we found that groundwater connectivity of the depressional wetlands was primarily determined by the slope of the adjacent water table. However, we identified certain arrangements of landforms that caused the water table to fall sharply and not follow the surface contour. Finally, we synthesize our findings and provide guidance to practitioners and resource managers regarding the management significance of indirect groundwater discharge and the effect of depressional wetland groundwater connectivity on pond permanence and connectivity.<span>&nbsp;</span></div>","language":"English","publisher":"MDPI","doi":"10.3390/w12010050","usgsCitation":"Neff, B.P., Rosenberry, D.O., Leibowitz, S.G., Mushet, D.M., Golden, H.E., Rains, M.C., Brooks, R., and Lane, C., 2020, A hydrologic landscapes perspective on groundwater connectivity of depressional wetlands: Water, v. 12, no. 1, 50, 29 p., https://doi.org/10.3390/w12010050.","productDescription":"50, 29 p.","ipdsId":"IP-111844","costCenters":[{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":458317,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w12010050","text":"Publisher Index Page"},{"id":379231,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Neff, Brian P. 0000-0003-3718-7350","orcid":"https://orcid.org/0000-0003-3718-7350","contributorId":242891,"corporation":false,"usgs":false,"family":"Neff","given":"Brian","email":"","middleInitial":"P.","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":801017,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":801018,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leibowitz, Scott G.","contributorId":156432,"corporation":false,"usgs":false,"family":"Leibowitz","given":"Scott","email":"","middleInitial":"G.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":801019,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":801020,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Golden, Heather E.","contributorId":202423,"corporation":false,"usgs":false,"family":"Golden","given":"Heather","email":"","middleInitial":"E.","affiliations":[{"id":36429,"text":"USEPA ORD","active":true,"usgs":false}],"preferred":false,"id":801021,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rains, Mark C.","contributorId":138983,"corporation":false,"usgs":false,"family":"Rains","given":"Mark","email":"","middleInitial":"C.","affiliations":[{"id":12607,"text":"Univ of South florida, School of Geosciences, Tampa FL","active":true,"usgs":false}],"preferred":false,"id":801022,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brooks, Renee 0000-0002-5008-9774","orcid":"https://orcid.org/0000-0002-5008-9774","contributorId":242892,"corporation":false,"usgs":false,"family":"Brooks","given":"Renee","email":"","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":801023,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lane, Charles R.","contributorId":138991,"corporation":false,"usgs":false,"family":"Lane","given":"Charles R.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":801024,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70206612,"text":"70206612 - 2020 - Post-12 Ma deformation of the lower Colorado River corridor, southwestern USA: Implications for diffuse transtension and the Bouse Formation","interactions":[],"lastModifiedDate":"2020-02-06T11:33:10","indexId":"70206612","displayToPublicDate":"2019-12-20T17:17:32","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Post-12 Ma deformation of the lower Colorado River corridor, southwestern USA: Implications for diffuse transtension and the Bouse Formation","docAbstract":"<p><span>Structural evidence presented here documents that deformation was ongoing within the lower Colorado River corridor (southwestern USA) during and after the latest Miocene Epoch, postdating large-magnitude extension and metamorphic core complex formation. Geometric and kinematic data collected on faults in key geologic units constrain the timing of deformation in relation to the age of the Bouse Formation, a unit that records the first arrival and integration of the Colorado River. North-south–striking extensional, NW-SE–striking oblique dextral, NE-SW–striking oblique sinistral, and east-west–striking contractional faults and related structures are observed to deform pre– (&gt;6 Ma), syn– (6–4.8 Ma), and post–Bouse Formation (&lt;4.8 Ma) strata. Fault displacements are typically at the centimeter to meter scale, and locally exhibit 10-m-scale displacements. Bouse Formation basalt carbonate locally exhibits outcrop-scale (tens of meters) syndepositional dips of 30°–90°, draped over and encrusted upon paleotopography, and has a basin-wide vertical distribution of as much as 500 m. We argue that part of this vertical distribution of Bouse Formation deposits represents syn- and post-Bouse deformation that enhanced north-south–trending depocenters due to combined tectonic and isostatic subsidence in a regional fault kinematic framework of east-west diffuse extension within an overall strain field of dextral transtension. Here we (1) characterize post-detachment tectonism within the corridor, (2) show that diffuse tectonism is cumulatively significant and likely modified original elevations of Bouse Formation outcrops, and (3) demonstrate that this tectonism may have played a role in the integration history of the lower Colorado River. We suggest a model whereby intracontinental transtension took place in a several hundred kilometers-wide area inboard of the San Andreas fault within a diffuse Pacific–North America plate margin since the latest Miocene.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02104.1","usgsCitation":"Thacker, J., Karlstrom, K., Crossey, L., Crow, R.S., Cassidy, C., Beard, L.S., Singleton, J., Strickland, E., Seymour, N., and Wyatt, M., 2020, Post-12 Ma deformation of the lower Colorado River corridor, southwestern USA: Implications for diffuse transtension and the Bouse Formation: Geosphere, v. 16, no. 1, p. 111-135, https://doi.org/10.1130/GES02104.1.","productDescription":"25 p.","startPage":"111","endPage":"135","ipdsId":"IP-104568","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":458319,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02104.1","text":"Publisher Index Page"},{"id":371093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Nevada","otherGeospatial":"Lower Colorado River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.6201171875,\n              32.7872745269555\n            ],\n            [\n              -113.51074218749999,\n              32.7872745269555\n            ],\n            [\n              -113.51074218749999,\n              35.94243575255426\n            ],\n            [\n              -115.6201171875,\n              35.94243575255426\n            ],\n            [\n              -115.6201171875,\n              32.7872745269555\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-12-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Thacker, Jacob 0000-0001-7174-6115 jthacker@usgs.gov","orcid":"https://orcid.org/0000-0001-7174-6115","contributorId":187771,"corporation":false,"usgs":false,"family":"Thacker","given":"Jacob","email":"jthacker@usgs.gov","affiliations":[],"preferred":false,"id":779160,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karlstrom, Karl","contributorId":218165,"corporation":false,"usgs":false,"family":"Karlstrom","given":"Karl","affiliations":[{"id":16658,"text":"UNM","active":true,"usgs":false}],"preferred":false,"id":775174,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crossey, Laura","contributorId":220554,"corporation":false,"usgs":false,"family":"Crossey","given":"Laura","affiliations":[{"id":16658,"text":"UNM","active":true,"usgs":false}],"preferred":false,"id":775175,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crow, Ryan S. 0000-0002-2403-6361 rcrow@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-6361","contributorId":5792,"corporation":false,"usgs":true,"family":"Crow","given":"Ryan","email":"rcrow@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":775172,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cassidy, Colleen 0000-0003-2963-9185","orcid":"https://orcid.org/0000-0003-2963-9185","contributorId":207193,"corporation":false,"usgs":true,"family":"Cassidy","given":"Colleen","email":"","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":775176,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beard, L. Sue 0000-0001-9552-1893 sbeard@usgs.gov","orcid":"https://orcid.org/0000-0001-9552-1893","contributorId":152,"corporation":false,"usgs":true,"family":"Beard","given":"L.","email":"sbeard@usgs.gov","middleInitial":"Sue","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":775177,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Singleton, John","contributorId":220555,"corporation":false,"usgs":false,"family":"Singleton","given":"John","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":775178,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Strickland, Evan","contributorId":220556,"corporation":false,"usgs":false,"family":"Strickland","given":"Evan","email":"","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":775179,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Seymour, Nikki","contributorId":220557,"corporation":false,"usgs":false,"family":"Seymour","given":"Nikki","email":"","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":775180,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wyatt, Michael","contributorId":220558,"corporation":false,"usgs":false,"family":"Wyatt","given":"Michael","email":"","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":775181,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70207543,"text":"70207543 - 2020 - Invertebrate communities of Prairie-Pothole wetlands in the age of the aquatic Homogenocene","interactions":[],"lastModifiedDate":"2020-10-12T16:29:50.24873","indexId":"70207543","displayToPublicDate":"2019-12-20T11:44:21","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Invertebrate communities of Prairie-Pothole wetlands in the age of the aquatic Homogenocene","docAbstract":"<p><span>Simplification of communities is a common consequence of anthropogenic modification. However, the prevalence and mechanisms of biotic homogenization among wetland systems require further examination. Biota of wetlands in the North American Prairie Pothole Region are adapted to high spatial and temporal variability in ponded-water duration and salinity. Recent climate change, however, has resulted in decreased hydrologic variability. Land-use changes have exacerbated this loss of variability. We used aquatic-macroinvertebrate data from 16 prairie-pothole wetlands sampled between 1992 and 2015 to explore homogenization of wetland communities. Macroinvertebrate communities of small wetlands that continued to cycle between wet and dry phases experienced greater turnover and supported unique taxa compared to larger wetlands that shifted towards less dynamic permanently ponded, lake-like regimes. Temporal turnover in beta-diversity was lowest in these permanently ponded wetlands. Additionally, wetlands that shifted to permanently ponded regimes also experienced a shift from palustrine to lacustrine communities. While increased pond permanence can increase species and overall beta-diversity in local areas previously lacking lake communities, homogenization of wetland communities at a larger, landscape scale can result in an overall loss of biodiversity as the diverse communities of many wetland systems become increasingly similar to those of lakes.</span></p>","language":"English","publisher":"Springer International Publishing","doi":"10.1007/s10750-019-04154-4","usgsCitation":"McLean, K., Mushet, D.M., Sweetman, J.N., Anteau, M.J., and Wiltermuth, M.T., 2020, Invertebrate communities of Prairie-Pothole wetlands in the age of the aquatic Homogenocene: Hydrobiologia, v. 847, p. 3773-3793, https://doi.org/10.1007/s10750-019-04154-4.","productDescription":"21 p.","startPage":"3773","endPage":"3793","ipdsId":"IP-111199","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":370671,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota","county":"Stutsman County","otherGeospatial":"Cottonwood Lake Study Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -100.77999114990234,\n              47.820762392755846\n            ],\n            [\n              -100.63407897949219,\n              47.820762392755846\n            ],\n            [\n              -100.63407897949219,\n              47.939116930322\n            ],\n            [\n              -100.77999114990234,\n              47.939116930322\n            ],\n            [\n              -100.77999114990234,\n              47.820762392755846\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"847","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2019-12-20","publicationStatus":"PW","contributors":{"authors":[{"text":"McLean, Kyle 0000-0003-3803-0136 kmclean@usgs.gov","orcid":"https://orcid.org/0000-0003-3803-0136","contributorId":168533,"corporation":false,"usgs":true,"family":"McLean","given":"Kyle","email":"kmclean@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":778407,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":778408,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sweetman, Jon N. 0000-0002-9849-7355","orcid":"https://orcid.org/0000-0002-9849-7355","contributorId":221489,"corporation":false,"usgs":false,"family":"Sweetman","given":"Jon","email":"","middleInitial":"N.","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":778409,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":778410,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wiltermuth, Mark T. 0000-0002-8871-2816 mwiltermuth@usgs.gov","orcid":"https://orcid.org/0000-0002-8871-2816","contributorId":708,"corporation":false,"usgs":true,"family":"Wiltermuth","given":"Mark","email":"mwiltermuth@usgs.gov","middleInitial":"T.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":778411,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70211941,"text":"70211941 - 2020 - Geophysical characterization of a Proterozoic REE terrane at Mountain Pass, eastern Mojave Desert, California","interactions":[],"lastModifiedDate":"2020-08-12T20:06:20.547455","indexId":"70211941","displayToPublicDate":"2019-12-19T15:00:52","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Geophysical characterization of a Proterozoic REE terrane at Mountain Pass, eastern Mojave Desert, California","docAbstract":"<p><span>Mountain Pass, California (USA), located in the eastern Mojave Desert, hosts one of the world’s richest rare earth element (REE) deposits. The REE-rich terrane occurs in a 2.5-km-wide, northwest-trending belt of Mesoproterozoic (1.4 Ga) stocks and dikes, which intrude a larger Paleoproterozoic (1.7 Ga) metamorphic block that extends ∼10 km southward from Clark Mountain to the eastern Mescal Range. To characterize the REE terrane, gravity, magnetic, magnetotelluric, and whole-rock physical property data were analyzed. Geophysical data reveal that the Mountain Pass carbonatite body is associated with an ∼5 mGal local gravity high that is superimposed on a gravity terrace (∼4 km wide) caused by granitic Paleoproterozoic host rocks. Physical rock property data indicate that the Mountain Pass REE suite is essentially nonmagnetic at the surface with a magnetic susceptibility of 2.0 × 10</span><sup>−3</sup><span>&nbsp;SI (</span><i>n</i><span>&nbsp;= 57), and lower-than-expected magnetizations may be the result of alteration. However, aeromagnetic data indicate that the intrusive suite occurs along the eastern edge of a distinct northwest-trending aeromagnetic high along the eastern Mescal Range. The source of this magnetic anomaly is ∼1.5–2 km below the surface and coincides with an electrical conductivity zone that is several orders of magnitude more conductive than the surrounding rock. The source of the magnetic anomaly is likely a moderately magnetic pluton. Combined geophysical data and models suggest that the carbonatite and its associated REE-enriched ultrapotassic suite were preferentially emplaced along a northwest-trending zone of weakness, which has potential implications for regional mineral exploration.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02066.1","usgsCitation":"Denton, K., Ponce, D.A., Peacock, J., and Miller, D., 2020, Geophysical characterization of a Proterozoic REE terrane at Mountain Pass, eastern Mojave Desert, California: Geosphere, v. 16, no. 1, p. 456-471, https://doi.org/10.1130/GES02066.1.","productDescription":"16 p.","startPage":"456","endPage":"471","ipdsId":"IP-097916","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":458330,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02066.1","text":"Publisher Index Page"},{"id":377423,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mountain Pass","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.04583740234374,\n              35.0254981588326\n            ],\n            [\n              -115.103759765625,\n              35.0254981588326\n            ],\n            [\n              -115.103759765625,\n              35.628279555648845\n            ],\n            [\n              -116.04583740234374,\n              35.628279555648845\n            ],\n            [\n              -116.04583740234374,\n              35.0254981588326\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Denton, Kevin 0000-0001-9604-4021","orcid":"https://orcid.org/0000-0001-9604-4021","contributorId":207718,"corporation":false,"usgs":true,"family":"Denton","given":"Kevin","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":795899,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ponce, David A. 0000-0003-4785-7354 ponce@usgs.gov","orcid":"https://orcid.org/0000-0003-4785-7354","contributorId":1049,"corporation":false,"usgs":true,"family":"Ponce","given":"David","email":"ponce@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":795900,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peacock, Jared R. 0000-0002-0439-0224","orcid":"https://orcid.org/0000-0002-0439-0224","contributorId":210082,"corporation":false,"usgs":true,"family":"Peacock","given":"Jared R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":795901,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":140769,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":795902,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70222079,"text":"70222079 - 2020 - Shift in the Raman symmetric stretching band of N2, CO2, and CH4 as a function of temperature, pressure, and density","interactions":[],"lastModifiedDate":"2021-07-20T11:43:16.251262","indexId":"70222079","displayToPublicDate":"2019-12-19T10:49:53","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5508,"text":"Journal of Raman Spectroscopy","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Shift in the Raman symmetric stretching band of N<sub>2</sub>, CO<sub>2</sub>, and CH<sub>4</sub> as a function of temperature, pressure, and density","title":"Shift in the Raman symmetric stretching band of N2, CO2, and CH4 as a function of temperature, pressure, and density","docAbstract":"<p><span>The Raman spectra of pure N</span><sub>2</sub><span>, CO</span><sub>2</sub><span>, and CH</span><sub>4</sub><span>&nbsp;were analyzed over the range 10 to 500 bars and from −160°C to 200°C (N</span><sub>2</sub><span>), 22°C to 350°C (CO</span><sub>2</sub><span>), and −100°C to 450°C (CH</span><sub>4</sub><span>). At constant temperature, Raman peak position, including the more intense CO</span><sub>2</sub><span>&nbsp;peak (</span><i>ν</i><span>+), decreases (shifts to lower wave number) with increasing pressure for all three gases over the entire pressure and temperature (</span><i>PT</i><span>) range studied. At constant pressure, the peak position for CO</span><sub>2</sub><span>&nbsp;and CH</span><sub>4</sub><span>&nbsp;increases (shifts to higher wave number) with increasing temperature over the entire&nbsp;</span><i>PT</i><span>&nbsp;range studied. In contrast, N</span><sub>2</sub><span>&nbsp;first shows an increase in peak position with increasing temperature at constant pressure, followed by a decrease in peak position with increasing temperature. The inflection temperature at which the trend reverses for N</span><sub>2</sub><span>&nbsp;is located between 0°C and 50°C at pressures above ~50 bars and is pressure dependent. Below ~50 bars, the inflection temperature was observed as low as −120°C. The shifts in Raman peak positions with&nbsp;</span><i>PT</i><span>&nbsp;are related to relative density changes, which reflect changes in intermolecular attraction and repulsion. A conceptual model relating the Raman spectral properties of N</span><sub>2</sub><span>, CO</span><sub>2</sub><span>, and CH</span><sub>4</sub><span>&nbsp;to relative density (volume) changes and attractive and repulsive forces is presented here. Additionally, reduced temperature-dependent densimeters and barometers are presented for each pure component over the respective&nbsp;</span><i>PT</i><span>&nbsp;ranges. The Raman spectral behavior of the pure gases as a function of temperature and pressure is assessed to provide a framework for understanding the behavior of each component in multicomponent N</span><sub>2</sub><span>-CO</span><sub>2</sub><span>-CH</span><sub>4</sub><span>&nbsp;gas systems in a future study.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jrs.5805","usgsCitation":"Sublett, D.M., Sendula, E., Lamadrid, H., Steele-MacInnis, M., Spiekermann, G., Burruss, R., and Bodnar, R., 2020, Shift in the Raman symmetric stretching band of N2, CO2, and CH4 as a function of temperature, pressure, and density: Journal of Raman Spectroscopy, v. 51, no. 3, p. 555-568, https://doi.org/10.1002/jrs.5805.","productDescription":"14 p.","startPage":"555","endPage":"568","ipdsId":"IP-111317","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":458332,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jrs.5805","text":"Publisher Index Page"},{"id":387232,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"3","noUsgsAuthors":false,"publicationDate":"2019-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Sublett, D. Matthew","contributorId":261188,"corporation":false,"usgs":false,"family":"Sublett","given":"D.","email":"","middleInitial":"Matthew","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":819449,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sendula, Eszter","contributorId":261189,"corporation":false,"usgs":false,"family":"Sendula","given":"Eszter","email":"","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":819450,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lamadrid, Hector","contributorId":261190,"corporation":false,"usgs":false,"family":"Lamadrid","given":"Hector","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":819451,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steele-MacInnis, Matthew","contributorId":261191,"corporation":false,"usgs":false,"family":"Steele-MacInnis","given":"Matthew","email":"","affiliations":[{"id":36696,"text":"University of Alberta","active":true,"usgs":false}],"preferred":false,"id":819452,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spiekermann, Georg","contributorId":261192,"corporation":false,"usgs":false,"family":"Spiekermann","given":"Georg","email":"","affiliations":[{"id":52768,"text":". Institut für Geowissenschaften, Universität Potsdam","active":true,"usgs":false}],"preferred":false,"id":819453,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burruss, Robert 0000-0001-6827-804X burruss@usgs.gov","orcid":"https://orcid.org/0000-0001-6827-804X","contributorId":146833,"corporation":false,"usgs":true,"family":"Burruss","given":"Robert","email":"burruss@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":819454,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bodnar, Robert J.","contributorId":261193,"corporation":false,"usgs":false,"family":"Bodnar","given":"Robert J.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":819455,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70215091,"text":"70215091 - 2020 - The relative importance of wetland area versus habitat heterogeneity for promoting species richness and abundance of wetland birds in the Prairie Pothole Region, USA","interactions":[],"lastModifiedDate":"2020-10-08T13:35:36.883808","indexId":"70215091","displayToPublicDate":"2019-12-19T08:28:57","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"The relative importance of wetland area versus habitat heterogeneity for promoting species richness and abundance of wetland birds in the Prairie Pothole Region, USA","docAbstract":"<p><span>Recent work has suggested that a tradeoff exists between habitat area and habitat heterogeneity, with a moderate amount of heterogeneity supporting greatest species richness. Support for this unimodal relationship has been mixed and has differed among habitats and taxa. We examined the relationship between habitat heterogeneity and species richness after accounting for habitat area in glacially formed wetlands in the Prairie Pothole Region in the United States at both local and landscape scales. We tested for area–habitat heterogeneity tradeoffs in wetland bird species richness, the richness of groups of similar species, and in species’ abundances. We then identified the habitat relationships for individual species and the relative importance of wetland area vs. habitat heterogeneity and other wetland characteristics. We found that habitat area was the primary driver of species richness and abundance. Additional variation in richness and abundance could be explained by habitat heterogeneity or other wetland and landscape characteristics. Overall avian species richness responded unimodally to habitat heterogeneity, suggesting an area–heterogeneity tradeoff. Group richness and abundance metrics showed either unimodal or linear relationships with habitat heterogeneity. Habitat heterogeneity indices at local and landscape scales were important for some, but not all, species and avian groups. Both abundance of individual species and species richness of most avian groups were higher on publicly owned wetlands than on privately owned wetlands, on restored wetlands than natural wetlands, and on permanent wetlands than on wetlands of other classes. However, we found that all wetlands examined, regardless of ownership, restoration status, and wetland class, supported wetland-obligate birds. Thus, protection of all wetland types contributes to species conservation. Our results support conventional wisdom that protection of large wetlands is a priority but also indicate that maintaining habitat heterogeneity will enhance biodiversity and support higher populations of individual species.</span></p>","language":"English","publisher":"American Ornithological Society","doi":"10.1093/condor/duz060","usgsCitation":"Elliott, L.H., Igl, L., and Johnson, D., 2020, The relative importance of wetland area versus habitat heterogeneity for promoting species richness and abundance of wetland birds in the Prairie Pothole Region, USA: The Condor, v. 122, no. 1, duz060, 21 p., https://doi.org/10.1093/condor/duz060.","productDescription":"duz060, 21 p.","ipdsId":"IP-100551","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":458338,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/condor/duz060","text":"Publisher Index Page"},{"id":379225,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota, South Dakota","otherGeospatial":"Prairie Potholes Region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.448974609375,\n              42.48830197960227\n            ],\n            [\n              -96.602783203125,\n              42.76314586689492\n            ],\n            [\n              -96.448974609375,\n              43.197167282501276\n            ],\n            [\n              -96.5478515625,\n              43.39706523932025\n            ],\n            [\n              -96.580810546875,\n              43.48481212891603\n            ],\n            [\n              -96.470947265625,\n      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-96.50390625,\n              42.48830197960227\n            ],\n            [\n              -96.448974609375,\n              42.48830197960227\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"122","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-12-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Elliott, Lisa H.","contributorId":199322,"corporation":false,"usgs":false,"family":"Elliott","given":"Lisa","email":"","middleInitial":"H.","affiliations":[{"id":7201,"text":"University of Minnesota-St. Paul","active":true,"usgs":false}],"preferred":false,"id":800773,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Igl, Lawrence 0000-0003-0530-7266","orcid":"https://orcid.org/0000-0003-0530-7266","contributorId":218901,"corporation":false,"usgs":true,"family":"Igl","given":"Lawrence","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":800774,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Douglas H. 0000-0002-7778-6641","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":223588,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":800775,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70227481,"text":"70227481 - 2020 - Future losses of playa wetlands decrease network structure and connectivity of the Rainwater Basin, Nebraska","interactions":[],"lastModifiedDate":"2022-01-19T12:50:27.021336","indexId":"70227481","displayToPublicDate":"2019-12-19T06:45:48","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Future losses of playa wetlands decrease network structure and connectivity of the Rainwater Basin, Nebraska","docAbstract":"<h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Context</h3><p>The Rainwater Basin in south-central Nebraska once supported a complex network of ~ 12,000 spatially-isolated playa wetlands, but ~ 90% have been lost since European settlement. Future losses are likely and expected reductions in connectivity could further isolate populations, increasing local extinction rates of many wetland species. However, to what extent future losses will affect wildlife likely depends on the role of lost wetlands in maintaining connectivity.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Objectives</h3><p>We compared the current Rainwater Basin network to future wetland loss scenarios to assess minimum, mean, and maximum effects of losses on network connectivity for a range of wildlife taxa.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Methods</h3><p>We used network models to rank wetlands by their functionality and relative importance in maintaining connectivity. We then removed 10–50% of high-ranked, low-ranked, or random subsets of wetlands and assessed connectivity of the remaining network.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Results</h3><p>A 10% loss of highly-ranked wetlands substantially decreased connectivity for species with dispersal capabilities &lt; 5.5&nbsp;km, while a 40–50% loss reduced connectivity for all tested dispersal distances (0.5–12.0&nbsp;km). When large proportions of highly-ranked wetlands were lost, the eastern and western halves of the Rainwater Basin network were no longer connected for any dispersal distance. Loss of low-ranked wetlands had minimal effects on network connectivity, until at least the lowest-ranked 50% were removed.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Conclusions</h3><p>Many highly-ranked playa wetlands in the Rainwater Basin are currently unprotected and might disappear from the landscape. Protecting wetlands that are key in maintaining connectivity especially benefits species with limited dispersal capabilities (&lt; 5.5&nbsp;km) for which consequences of future habitat losses might be worst.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10980-019-00958-w","usgsCitation":"Verheijen, B.H., Varner, D.M., and Haukos, D.A., 2020, Future losses of playa wetlands decrease network structure and connectivity of the Rainwater Basin, Nebraska: Landscape Ecology, v. 35, p. 453-467, https://doi.org/10.1007/s10980-019-00958-w.","productDescription":"15 p.","startPage":"453","endPage":"467","ipdsId":"IP-108305","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":394501,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -99.4482421875,\n              40.07807142745009\n            ],\n            [\n              -96.0205078125,\n              40.07807142745009\n            ],\n            [\n              -96.0205078125,\n              41.409775832009565\n            ],\n            [\n              -99.4482421875,\n              41.409775832009565\n            ],\n            [\n              -99.4482421875,\n              40.07807142745009\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"35","noUsgsAuthors":false,"publicationDate":"2019-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Verheijen, Bram H.F.","contributorId":271195,"corporation":false,"usgs":false,"family":"Verheijen","given":"Bram","email":"","middleInitial":"H.F.","affiliations":[{"id":48533,"text":"ksu","active":true,"usgs":false}],"preferred":false,"id":831140,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Varner, Dana M.","contributorId":271196,"corporation":false,"usgs":false,"family":"Varner","given":"Dana","email":"","middleInitial":"M.","affiliations":[{"id":40582,"text":"Rainwater Basin Joint Venture","active":true,"usgs":false}],"preferred":false,"id":831141,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":831142,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70207990,"text":"70207990 - 2020 - Variation of annual apparent survival and detection rates with age, year, and individual identity in male Weddell seals (Leptonychotes weddellii) from long-term mark-recapture data","interactions":[],"lastModifiedDate":"2020-01-23T06:35:11","indexId":"70207990","displayToPublicDate":"2019-12-19T06:33:36","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3103,"text":"Population Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Variation of annual apparent survival and detection rates with age, year, and individual identity in male Weddell seals (Leptonychotes weddellii) from long-term mark-recapture data","docAbstract":"Exploring age- and sex-specific survival rates provides insight regarding population behavior  and life-history trait evolution, but many population studies exclude males. Accordingly, our  understanding of how age-specific patterns of survival, including actuarial senescence, compare  between the sexes remains inadequate. Using 35 years of mark-recapture data for 7,516 male  Weddell seals (Leptonychotes weddellii) born in Erebus Bay, Antarctica, we estimated age-  specific annual survival rates using a hierarchical model for mark-recapture data in a Bayesian  framework. Our male survival estimates were moderate for pups and yearlings, highest for 2-  year-olds, and gradually declined with age thereafter such that the oldest animals observed had  the lowest rates of any age. Reports of senescence in other wildlife populations of species with  similar longevity occurred at older ages than those presented here. When compared to recently  published estimates for reproductive Weddell seal females, we found that peak survival rates  were similar (males: 0.94, 95% CI = 0.92-0.96; females: 0.92, 95% CI = 0.93-0.95), but rates  declined more rapidly in males. Costs of reproduction for males seem to exceed costs incurred  by females, but age-specific reproductive data for males are necessary to fully evaluate survival-  reproduction tradeoffs in males. Similar studies on a broad range of species are needed to  contextualize these results for a better understanding of the variation in senescence patterns  between the sexes of the same species, but our study adds information for a marine mammal  species to a research topic dominated by avian and ungulate species.","language":"English","publisher":"Wiley","doi":"10.1002/1438-390X.12036","usgsCitation":"Brusa, J.L., Rotella, J.J., Garrott, R.A., Paterson, J.T., and Link, W., 2020, Variation of annual apparent survival and detection rates with age, year, and individual identity in male Weddell seals (Leptonychotes weddellii) from long-term mark-recapture data: Population Ecology, v. 62, no. 1, p. 134-150, https://doi.org/10.1002/1438-390X.12036.","productDescription":"17 p.","startPage":"134","endPage":"150","ipdsId":"IP-111162","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":371490,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Brusa, Jamie L.","contributorId":221719,"corporation":false,"usgs":false,"family":"Brusa","given":"Jamie","email":"","middleInitial":"L.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":780052,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rotella, Jay J.","contributorId":37271,"corporation":false,"usgs":false,"family":"Rotella","given":"Jay","email":"","middleInitial":"J.","affiliations":[{"id":5098,"text":"Department of Ecology, Montana State University","active":true,"usgs":false}],"preferred":false,"id":780053,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garrott, Robert A.","contributorId":171537,"corporation":false,"usgs":false,"family":"Garrott","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":780054,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paterson, J. Terrill","contributorId":206296,"corporation":false,"usgs":false,"family":"Paterson","given":"J.","email":"","middleInitial":"Terrill","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":780055,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Link, William 0000-0002-9913-0256","orcid":"https://orcid.org/0000-0002-9913-0256","contributorId":221718,"corporation":false,"usgs":true,"family":"Link","given":"William","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":780051,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70207414,"text":"70207414 - 2020 - Simulation of post-hurricane impact on invasive species with biological control management","interactions":[],"lastModifiedDate":"2020-03-11T14:24:23","indexId":"70207414","displayToPublicDate":"2019-12-18T14:57:46","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5881,"text":"Discrete & Continuous Dynamical Systems-A","active":true,"publicationSubtype":{"id":10}},"title":"Simulation of post-hurricane impact on invasive species with biological control management","docAbstract":"<p><span>Understanding the effects of hurricanes and other large storms on ecological communities and the post-event recovery in these communities can guide management and ecosystem restoration. This is particularly important for communities impacted by invasive species, as the hurricane may affect control efforts. Here we consider the effect of a hurricane on tree communities in southern Florida that has been invaded by&nbsp;</span><i>Melaleuca quinquevervia</i><span>&nbsp;(melaleuca), an invasive Australian tree. Biological control agents were introduced starting in the 1990s and are reducing melaleuca in habitats where they are established. We used size-structured matrix modeling as a tool to project the continued possible additional effects of a hurricane on a pure stand of melaleuca that already had some level of biological control. The model results indicate that biological control could suppress or eliminate melaleuca within decades. A hurricane that does severe damage to the stand may accelerate the trend toward elimination of melaleuca with both strong and moderate biological control. However, if the biological control is weak, the stand is resilient to all but extremely severe hurricane damage. Although only a pure melaleuca stand was simulated in this study, other plants, such as natives, are likely to accelerate the decline of melaleuca due to competition. Our model provides a new tool to simulate post-hurricanes effect on invasive species and highlights the essential role that biological control has played on invasive species management.</span></p>","language":"English","publisher":"American Institute of Mathematical Sciences","doi":"10.3934/dcds.2020038","usgsCitation":"Xu, L., Zdechlik, M.C., Smith, M.C., Rayamajhi, M.B., DeAngelis, D., and Zhang, B., 2020, Simulation of post-hurricane impact on invasive species with biological control management: Discrete & Continuous Dynamical Systems-A, v. 40, no. 6, p. 4059-4071, https://doi.org/10.3934/dcds.2020038.","productDescription":"13 p.","startPage":"4059","endPage":"4071","ipdsId":"IP-100870","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":458343,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3934/dcds.2020038","text":"Publisher Index Page"},{"id":370514,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.96875,\n              24.5271348225978\n            ],\n            [\n              -79.8486328125,\n              24.5271348225978\n            ],\n            [\n              -79.8486328125,\n              28.304380682962783\n            ],\n            [\n              -82.96875,\n              28.304380682962783\n            ],\n            [\n              -82.96875,\n              24.5271348225978\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","issue":"6","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Xu, Linhao","contributorId":221358,"corporation":false,"usgs":false,"family":"Xu","given":"Linhao","email":"","affiliations":[{"id":40353,"text":"Co-Innovation Center for Sustainable Forestry in Southern China, Jiangsu Province Key","active":true,"usgs":false}],"preferred":false,"id":777925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zdechlik, Marya Claire","contributorId":221359,"corporation":false,"usgs":false,"family":"Zdechlik","given":"Marya","email":"","middleInitial":"Claire","affiliations":[{"id":13532,"text":"Department of Biology, University of Miami","active":true,"usgs":false}],"preferred":false,"id":777926,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Melissa C.","contributorId":221360,"corporation":false,"usgs":false,"family":"Smith","given":"Melissa","email":"","middleInitial":"C.","affiliations":[{"id":40354,"text":"USDA-ARS Invasive Plant Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":777927,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rayamajhi, Min B.","contributorId":191306,"corporation":false,"usgs":false,"family":"Rayamajhi","given":"Min","email":"","middleInitial":"B.","affiliations":[{"id":33268,"text":"USDA-ARS Aquatic Weed Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":777928,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeAngelis, Don 0000-0002-1570-4057","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":221357,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Don","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":777924,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhang, Bo","contributorId":146526,"corporation":false,"usgs":false,"family":"Zhang","given":"Bo","email":"","affiliations":[{"id":16714,"text":"Dept. of Biology, University of Miami","active":true,"usgs":false}],"preferred":false,"id":777929,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70218766,"text":"70218766 - 2020 - Testing reproducibility of vitrinite and solid bitumen reflectance measurements in North American unconventional source-rock reservoir petroleum systems","interactions":[],"lastModifiedDate":"2021-03-12T14:30:22.076149","indexId":"70218766","displayToPublicDate":"2019-12-18T08:10:01","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Testing reproducibility of vitrinite and solid bitumen reflectance measurements in North American unconventional source-rock reservoir petroleum systems","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">An interlaboratory study (ILS) was conducted to test reproducibility of vitrinite and solid bitumen reflectance measurements in six mudrock samples from United States unconventional source-rock reservoir petroleum systems. Samples selected from the Marcellus, Haynesville, Eagle Ford, Barnett, Bakken and Woodford are representative of resource plays currently under exploitation in North America. All samples are from marine depositional environments, are thermally mature (T<sub>max</sub><span>&nbsp;</span>&gt;445&nbsp;°C) and have moderate to high organic matter content (2.9–11.6&nbsp;wt% TOC). Their organic matter is dominated by solid bitumen, which contains intraparticle nano-porosity. Visual evaluation of organic nano-porosity (pore sizes&nbsp;&lt;&nbsp;100&nbsp;nm) via SEM suggests that intraparticle organic nano-pores are most abundant in dry gas maturity samples and less abundant at lower wet gas/condensate and peak oil maturities. Samples were distributed to ILS participants in forty laboratories in the Americas, Europe, Africa and Australia; thirty-seven independent sets of results were received. Mean vitrinite reflectance (VR<sub>o</sub>) values from all ILS participants range from 0.90 to 1.83% whereas mean solid bitumen reflectance (BR<sub>o</sub>) values range from 0.85 to 2.04% (no outlying values excluded), confirming the thermally mature nature of all six samples. Using multiple statistical approaches to eliminate outlying values, we evaluated reproducibility limit R, the maximum difference between valid mean reflectance results obtained on the same sample by different operators in different laboratories using different instruments. Removal of outlying values where the individual signed multiple of standard deviation was &gt;1.0 produced lowest R values, generally ≤0.5% (absolute reflectance), similar to a prior ILS for similar samples. Other traditional approaches to outlier removal (outside mean&nbsp;±&nbsp;1.5*interquartile range and outside F10 to F90 percentile range) also produced similar R values. Standard deviation values&nbsp;&lt;&nbsp;0.15*(VR<sub>o</sub><span>&nbsp;</span>or BR<sub>o</sub>) reduce R and should be a requirement of dispersed organic matter reflectance analysis. After outlier removal, R values were 0.1%–0.2% for peak oil thermal maturity, about 0.3% for wet gas/condensate maturity and 0.4%–0.5% for dry gas maturity. That is, these R values represent the uncertainty (in absolute reflectance) that users of vitrinite and solid bitumen reflectance data should assign to any one individual reported mean reflectance value from a similar thermal maturity mudrock sample. R values of this magnitude indicate a need for further standardization of reflectance measurement of dispersed organic matter. Furthermore, these R values quantify realistic interlaboratory measurement dispersion for a difficult but critically important analytical technique necessary for thermal maturity determination in the source-rock reservoirs of unconventional petroleum systems.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2019.104172","usgsCitation":"Hackley, P.C., Araujo, C., Borrego, A.G., Bouzinos, A., Cardott, B.J., Carvajal-Ortiz, H., Rocio Lopez Cely, M., Chabalala, V., Crosdale, P.J., Demchuk, T.D., Eble, C.F., Flores, D., Furmann, A., Gentzis, T., Goncalves, P., Guvad, C., Hamor-Vido, M., Jelonek, I., Johnston, M., Juliao-Lemus, T., Kalaitzidis, S., Knowles, W., Kus, J., Li, Z., Macleod, G., Mastalerz, M., Rego Menezes, T., Ocubalidet, S., Orban, R., Pickel, W., Ranasinghe, P., Ribeiro, J., Gomez Rojas, O.P., Ruiz-Monroy, R., Schmidt, J., Seyedolali, A., Siavalas, G., Suarez-Ruiz, I., Vargas, C.V., Valentine, B.J., Wagner, N., Wrolson, B., and Jaramillo Zapata, J.E., 2020, Testing reproducibility of vitrinite and solid bitumen reflectance measurements in North American unconventional source-rock reservoir petroleum systems: Marine and Petroleum Geology, v. 114, 104172, 17 p., https://doi.org/10.1016/j.marpetgeo.2019.104172.","productDescription":"104172, 17 p.","ipdsId":"IP-108878","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":458350,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://digitalcommons.lsu.edu/geo_pubs/1375","text":"Publisher Index Page"},{"id":384351,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"114","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":811751,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Araujo, Carla V.","contributorId":255077,"corporation":false,"usgs":false,"family":"Araujo","given":"Carla V.","affiliations":[{"id":51408,"text":"Petrobras R&D Center, Brazil","active":true,"usgs":false}],"preferred":false,"id":811752,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Borrego, Angeles G.","contributorId":255080,"corporation":false,"usgs":false,"family":"Borrego","given":"Angeles","email":"","middleInitial":"G.","affiliations":[{"id":51413,"text":"Instituto Nacional del Carbon, Spain","active":true,"usgs":false}],"preferred":false,"id":812007,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bouzinos, Antonis","contributorId":255078,"corporation":false,"usgs":false,"family":"Bouzinos","given":"Antonis","affiliations":[{"id":51410,"text":"Measured Group Pty Ltd, Australia","active":true,"usgs":false}],"preferred":false,"id":812008,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cardott, Brian J.","contributorId":255079,"corporation":false,"usgs":false,"family":"Cardott","given":"Brian","email":"","middleInitial":"J.","affiliations":[{"id":51412,"text":"Oklahoma Geological Survey, USA","active":true,"usgs":false}],"preferred":false,"id":812009,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carvajal-Ortiz, H.","contributorId":243150,"corporation":false,"usgs":false,"family":"Carvajal-Ortiz","given":"H.","affiliations":[{"id":39779,"text":"Core Laboratories","active":true,"usgs":false}],"preferred":false,"id":812010,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rocio Lopez Cely, Martha","contributorId":255242,"corporation":false,"usgs":false,"family":"Rocio Lopez Cely","given":"Martha","email":"","affiliations":[],"preferred":false,"id":812011,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chabalala, Vongani","contributorId":255243,"corporation":false,"usgs":false,"family":"Chabalala","given":"Vongani","email":"","affiliations":[],"preferred":false,"id":812012,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Crosdale, Peter J.","contributorId":255244,"corporation":false,"usgs":false,"family":"Crosdale","given":"Peter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":812013,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Demchuk, Thomas D.","contributorId":255245,"corporation":false,"usgs":false,"family":"Demchuk","given":"Thomas","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":812014,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Eble, Cortland F.","contributorId":99174,"corporation":false,"usgs":true,"family":"Eble","given":"Cortland","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":812015,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Flores, Deolinda","contributorId":31287,"corporation":false,"usgs":true,"family":"Flores","given":"Deolinda","email":"","affiliations":[],"preferred":false,"id":812016,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Furmann, Agnieszka","contributorId":255246,"corporation":false,"usgs":false,"family":"Furmann","given":"Agnieszka","email":"","affiliations":[],"preferred":false,"id":812017,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Gentzis, Thomas","contributorId":92594,"corporation":false,"usgs":true,"family":"Gentzis","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":812018,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Goncalves, Paula","contributorId":174245,"corporation":false,"usgs":false,"family":"Goncalves","given":"Paula","affiliations":[],"preferred":false,"id":812019,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Guvad, Carsten","contributorId":255247,"corporation":false,"usgs":false,"family":"Guvad","given":"Carsten","email":"","affiliations":[],"preferred":false,"id":812020,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Hamor-Vido, M.","contributorId":25343,"corporation":false,"usgs":true,"family":"Hamor-Vido","given":"M.","affiliations":[],"preferred":false,"id":812021,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Jelonek, Iwona","contributorId":62150,"corporation":false,"usgs":true,"family":"Jelonek","given":"Iwona","email":"","affiliations":[],"preferred":false,"id":812022,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Johnston, M.","contributorId":88091,"corporation":false,"usgs":true,"family":"Johnston","given":"M.","email":"","affiliations":[],"preferred":false,"id":812023,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Juliao-Lemus, Tatiana","contributorId":255248,"corporation":false,"usgs":false,"family":"Juliao-Lemus","given":"Tatiana","email":"","affiliations":[],"preferred":false,"id":812024,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Kalaitzidis, Stavros","contributorId":255249,"corporation":false,"usgs":false,"family":"Kalaitzidis","given":"Stavros","email":"","affiliations":[],"preferred":false,"id":812025,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Knowles, 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,{"id":70219115,"text":"70219115 - 2020 - Fault fictions: Systematic biases in the conceptualization of fault-zone architecture","interactions":[],"lastModifiedDate":"2021-03-24T12:30:48.087213","indexId":"70219115","displayToPublicDate":"2019-12-16T07:29:20","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5279,"text":"Special Publications","onlineIssn":"0149-1768","active":true,"publicationSubtype":{"id":10}},"title":"Fault fictions: Systematic biases in the conceptualization of fault-zone architecture","docAbstract":"<div id=\"abstract-1\" class=\"section abstract\"><p id=\"p-1\">Mental models are a human's internal representation of the real world and have an important role in the way we understand and reason about uncertainties, explore potential options and make decisions. Mental models have not yet received much attention in geosciences, yet systematic biases can affect any geological investigation: from how the problem is conceived, through selection of appropriate hypotheses and data collection/processing methods, to the conceptualization and communication of results. We draw on findings from cognitive science and system dynamics, with knowledge and experiences of field geology, to consider the limitations and biases presented by mental models in geoscience, and their effect on predictions of the physical properties of faults in particular. We highlight biases specific to geological investigations and propose strategies for debiasing. Doing so will enhance how multiple data sources can be brought together, and minimize controllable geological uncertainty to develop more robust geological models. Critically, there is a need for standardized procedures that guard against biases, permitting data from multiple studies to be combined and communication of assumptions to be made. While we use faults to illustrate potential biases in mental models and the implications of these biases, our findings can be applied across the geosciences.</p></div>","language":"English","publisher":"Geological Society of London","doi":"10.1144/SP496-2018-161","usgsCitation":"Shipton, Z.K., Roberts, J.J., L, C.E., Kremer, Y., Lunn, R.J., and Caine, J., 2020, Fault fictions: Systematic biases in the conceptualization of fault-zone architecture: Special Publications, v. 496, p. 125-143, https://doi.org/10.1144/SP496-2018-161.","productDescription":"19 p.","startPage":"125","endPage":"143","ipdsId":"IP-101941","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":458358,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://strathprints.strath.ac.uk/view/author/742207.html>","text":"External Repository"},{"id":384631,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"496","noUsgsAuthors":false,"publicationDate":"2019-12-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Shipton, Zoe K 0000-0002-2268-7750","orcid":"https://orcid.org/0000-0002-2268-7750","contributorId":255721,"corporation":false,"usgs":false,"family":"Shipton","given":"Zoe","email":"","middleInitial":"K","affiliations":[{"id":51656,"text":"University of Strathclyde","active":true,"usgs":false}],"preferred":false,"id":812827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roberts, Jennifer J","contributorId":255722,"corporation":false,"usgs":false,"family":"Roberts","given":"Jennifer","email":"","middleInitial":"J","affiliations":[{"id":51656,"text":"University of Strathclyde","active":true,"usgs":false}],"preferred":false,"id":812828,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"L, Comrie Emma","contributorId":255723,"corporation":false,"usgs":false,"family":"L","given":"Comrie","email":"","middleInitial":"Emma","affiliations":[{"id":51656,"text":"University of Strathclyde","active":true,"usgs":false}],"preferred":false,"id":812829,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kremer, Yannick","contributorId":255724,"corporation":false,"usgs":false,"family":"Kremer","given":"Yannick","affiliations":[{"id":51656,"text":"University of Strathclyde","active":true,"usgs":false}],"preferred":false,"id":812830,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lunn, Rebecca J","contributorId":255725,"corporation":false,"usgs":false,"family":"Lunn","given":"Rebecca","email":"","middleInitial":"J","affiliations":[{"id":51656,"text":"University of Strathclyde","active":true,"usgs":false}],"preferred":false,"id":812831,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Caine, Jonathan Saul 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":199295,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan Saul","email":"jscaine@usgs.gov","affiliations":[],"preferred":true,"id":812832,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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