{"pageNumber":"885","pageRowStart":"22100","pageSize":"25","recordCount":184904,"records":[{"id":70197120,"text":"70197120 - 2018 - Middle Pleistocene infill of Hinkley Valley by Mojave River sediment and associated lake sediment: Depositional architecture and deformation by strike-slip faults","interactions":[],"lastModifiedDate":"2018-05-21T14:11:26","indexId":"70197120","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Middle Pleistocene infill of Hinkley Valley by Mojave River sediment and associated lake sediment: Depositional architecture and deformation by strike-slip faults","docAbstract":"<p>Hinkley Valley in the Mojave Desert, near Barstow about 140 km northeast of Los Angeles and midway between Victorville Valley and the Lake Manix basin, contains a thick sedimentary sequence delivered by the Mojave River. Our study of sediment cores drilled in the valley indicates that Hinkley Valley was probably a closed playa basin with stream inflow from four directions prior to Mojave River inflow. The Mojave River deposited thick and laterally extensive clastic wedges originating from the southern valley that rapidly filled much of Hinkley Valley. Sedimentary facies representing braided stream, wetland, delta, and lacustrine depositional environments all are found in the basin fill; in some places, the sequence is greater than 74 m (245 ft) thick. The sediment is dated in part by the presence of the ~631 ka Lava Creek B ash bed low in the section, and thus represents sediment deposition after Victorville basin was overtopped by sediment and before the Manix basin began to be filled. Evidently, upstream Victorville basin filled with sediment by about 650 ka, causing the ancestral Mojave River to spill to the Harper and Hinkley basins, and later to Manix basin.</p><p>Initial river sediment overran wetland deposits in many places in southern Hinkley Valley, indicating a rapidly encroaching river system. These sediments were succeeded by a widespread lake (“blue” clay) that includes the Lava Creek B ash bed. Above the lake sediment lies a thick section of interlayered stream sediment, delta and nearshore lake sediment, mudflat and/or playa sediment, and minor lake sediment. This stratigraphic architecture is found throughout the valley, and positions of lake sediment layers indicate a successive northward progression in the closed basin. A thin overlapping sequence at the north end of the valley contains evidence for a younger late Pleistocene lake episode. This late lake episode, and bracketing braided stream deposits of the Mojave River, indicate that the river avulsed through the valley, rather than continuing toward Lake Manix, during the late Pleistocene. Two dextral strike-slip fault zones, the Lockhart and the Mt. General, fold and displace the distinctive stratigraphic units, as well as surficial late Pleistocene and Holocene deposits. The sedimentary architecture and the two fault zones provide a framework for evaluating groundwater flow in Hinkley Valley.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Against the current: Mojave River from sink to source; 2018 Desert Symposium Field Guide and Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Desert Symposium Inc.","usgsCitation":"Miller, D., Haddon, E., Langenheim, V., Cyr, A.J., Wan, E., Walkup, L., and Starratt, S.W., 2018, Middle Pleistocene infill of Hinkley Valley by Mojave River sediment and associated lake sediment: Depositional architecture and deformation by strike-slip faults, <i>in</i> Against the current: Mojave River from sink to source; 2018 Desert Symposium Field Guide and Proceedings, p. 58-65.","productDescription":"8 p.","startPage":"58","endPage":"65","ipdsId":"IP-096703","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":354361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b155d93e4b092d9651e1b70","contributors":{"authors":[{"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":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":735731,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haddon, Elizabeth 0000-0001-7601-7755 ehaddon@usgs.gov","orcid":"https://orcid.org/0000-0001-7601-7755","contributorId":196407,"corporation":false,"usgs":true,"family":"Haddon","given":"Elizabeth","email":"ehaddon@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":735732,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Langenheim, Victoria E. 0000-0003-2170-5213 zulanger@usgs.gov","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":151042,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria E.","email":"zulanger@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":735733,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cyr, Andrew J. 0000-0003-2293-5395 acyr@usgs.gov","orcid":"https://orcid.org/0000-0003-2293-5395","contributorId":3539,"corporation":false,"usgs":true,"family":"Cyr","given":"Andrew","email":"acyr@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":735734,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wan, Elmira 0000-0002-9255-112X ewan@usgs.gov","orcid":"https://orcid.org/0000-0002-9255-112X","contributorId":3434,"corporation":false,"usgs":true,"family":"Wan","given":"Elmira","email":"ewan@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":735735,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walkup, Laura 0000-0002-1962-5364","orcid":"https://orcid.org/0000-0002-1962-5364","contributorId":205009,"corporation":false,"usgs":true,"family":"Walkup","given":"Laura","email":"","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":735736,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Starratt, Scott W. 0000-0001-9405-1746 sstarrat@usgs.gov","orcid":"https://orcid.org/0000-0001-9405-1746","contributorId":2891,"corporation":false,"usgs":true,"family":"Starratt","given":"Scott","email":"sstarrat@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":735737,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70197995,"text":"70197995 - 2018 - Improving near‐real‐time coseismic landslide models: Lessons learned from the 2016 Kaikōura, New Zealand, earthquake","interactions":[],"lastModifiedDate":"2018-07-05T10:23:59","indexId":"70197995","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","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":"Improving near‐real‐time coseismic landslide models: Lessons learned from the 2016 Kaikōura, New Zealand, earthquake","docAbstract":"<p><span>The U.S. Geological Survey (USGS) is developing near‐real‐time global earthquake‐triggered‐landslide products to augment the USGS Prompt Assessment of Global Earthquakes for Response (PAGER) system. The 14 November 2016&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"msub\"><span><span><span id=\"MathJax-Span-4\" class=\"mi\">M</span></span><span><span id=\"MathJax-Span-5\" class=\"mi\">w</span></span></span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">Mw</span></span></span><span>&nbsp;7.8 Kaikōura, New Zealand, earthquake provided a test case for evaluating the performance and near‐real‐time response applicability of three published global seismically induced landslide models. All three models obtain shaking estimates from the USGS ShakeMap, which is updated and sometimes changes significantly in the hours to days after an earthquake. The Kaikōura earthquake is a particularly valuable event that helps us better understand how changes to the ShakeMap affect the landslide models because the ShakeMap evolved significantly over several weeks as multifault rupture and seismic data were incorporated. We used the detailed landslide inventory available for this event for qualitative landslide model evaluation. We found that once a point source was replaced with an approximate rupture extent in ShakeMap, the landslide models were all successful at roughly identifying the area of highest hazard. This is notable, given that the models are relatively simple, coarse in resolution, and are based solely on input proxies that are globally available. However, all of the models dramatically overpredicted the hazard level, which indicates that improvements can be made. Subsequent updates to the ShakeMap resulted in improvements to model performance by some metrics and declining performance by others. In all cases, details of the ShakeMap strongly controlled the spatial pattern, even when those details were erroneous, such as the inclusion of a fault segment that did not rupture. If maps of landslide hazard are to be used effectively for rapid response, then we need to understand and clearly communicate the control that ShakeMap has over the models and how that typically evolves with time and is (or is not) reflected in reported uncertainties.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120170297","usgsCitation":"Allstadt, K.E., Jibson, R.W., Thompson, E.M., Massey, C., Wald, D.J., Godt, J.W., and Rengers, F.K., 2018, Improving near‐real‐time coseismic landslide models: Lessons learned from the 2016 Kaikōura, New Zealand, earthquake: Bulletin of the Seismological Society of America, v. 108, no. 3B, p. 1649-1664, https://doi.org/10.1785/0120170297.","productDescription":"16 p.","startPage":"1649","endPage":"1664","ipdsId":"IP-093398","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":355498,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              172.5,\n              -43.5\n            ],\n            [\n              174.5,\n              -43.5\n            ],\n            [\n              174.5,\n              -41.5\n            ],\n            [\n              172.5,\n              -41.5\n            ],\n            [\n              172.5,\n              -43.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"108","issue":"3B","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-27","publicationStatus":"PW","scienceBaseUri":"5b46e5a2e4b060350a15d1ee","contributors":{"authors":[{"text":"Allstadt, Kate E. 0000-0003-4977-5248 kallstadt@usgs.gov","orcid":"https://orcid.org/0000-0003-4977-5248","contributorId":167684,"corporation":false,"usgs":true,"family":"Allstadt","given":"Kate","email":"kallstadt@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":false,"id":739524,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jibson, Randall W. 0000-0003-3399-0875 jibson@usgs.gov","orcid":"https://orcid.org/0000-0003-3399-0875","contributorId":2985,"corporation":false,"usgs":true,"family":"Jibson","given":"Randall","email":"jibson@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":739525,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":146592,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":739526,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Massey, Chris","contributorId":206127,"corporation":false,"usgs":false,"family":"Massey","given":"Chris","email":"","affiliations":[{"id":36277,"text":"GNS Science","active":true,"usgs":false}],"preferred":false,"id":739527,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":739528,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":739529,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":739530,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70196759,"text":"70196759 - 2018 - From top to bottom: Do Lake Trout diversify along a depth gradient in Great Bear Lake, NT, Canada?","interactions":[],"lastModifiedDate":"2018-04-30T10:35:55","indexId":"70196759","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"From top to bottom: Do Lake Trout diversify along a depth gradient in Great Bear Lake, NT, Canada?","docAbstract":"<p><span>Depth is usually considered the main driver of Lake Trout intraspecific diversity across lakes in North America. Given that Great Bear Lake is one of the largest and deepest freshwater systems in North America, we predicted that Lake Trout intraspecific diversity to be organized along a depth axis within this system. Thus, we investigated whether a deep-water morph of Lake Trout co-existed with four shallow-water morphs previously described in Great Bear Lake. Morphology, neutral genetic variation, isotopic niches, and life-history traits of Lake Trout across depths (0–150 m) were compared among morphs. Due to the propensity of Lake Trout with high levels of morphological diversity to occupy multiple habitat niches, a novel multivariate grouping method using a suite of composite variables was applied in addition to two other commonly used grouping methods to classify individuals. Depth alone did not explain Lake Trout diversity in Great Bear Lake; a distinct fifth deep-water morph was not found. Rather, Lake Trout diversity followed an ecological continuum, with some evidence for adaptation to local conditions in deep-water habitat. Overall, trout caught from deep-water showed low levels of genetic and phenotypic differentiation from shallow-water trout, and displayed higher lipid content (C:N ratio) and occupied a higher trophic level that suggested an potential increase of piscivory (including cannibalism) than the previously described four morphs. Why phenotypic divergence between shallow- and deep-water Lake Trout was low is unknown, especially when the potential for phenotypic variation should be high in deep and large Great Bear Lake. Given that variation in complexity of freshwater environments has dramatic consequences for divergence, variation in the complexity in Great Bear Lake (i.e., shallow being more complex than deep), may explain the observed dichotomy in the expression of intraspecific phenotypic diversity between shallow- vs. deep-water habitats. The ambiguity surrounding mechanisms driving divergence of Lake Trout in Great Bear Lake should be seen as reflective of the highly variable nature of ecological opportunity and divergent natural selection itself.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0193925","usgsCitation":"Chavarie, L., Howland, K.L., Harris, L.N., Hansen, M.J., Harford, W.J., Gallagher, C.P., Baillie, S.M., Malley, B., Tonn, W.M., Muir, A., and Krueger, C., 2018, From top to bottom: Do Lake Trout diversify along a depth gradient in Great Bear Lake, NT, Canada?: PLoS ONE, v. 13, no. 3, p. 1-28, https://doi.org/10.1371/journal.pone.0193925.","productDescription":"e0193925; 28 p.","startPage":"1","endPage":"28","ipdsId":"IP-094088","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":468876,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0193925","text":"Publisher Index Page"},{"id":353850,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Northwest Territories","otherGeospatial":"Great Bear Lake","volume":"13","issue":"3","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-22","publicationStatus":"PW","scienceBaseUri":"5afee6ece4b0da30c1bfbf7f","contributors":{"authors":[{"text":"Chavarie, Louise","contributorId":156227,"corporation":false,"usgs":false,"family":"Chavarie","given":"Louise","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":734262,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Howland, Kimberly L.","contributorId":72682,"corporation":false,"usgs":true,"family":"Howland","given":"Kimberly","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":734263,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harris, Les N.","contributorId":204527,"corporation":false,"usgs":false,"family":"Harris","given":"Les","email":"","middleInitial":"N.","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":734264,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, Michael J. 0000-0001-8522-3876 michaelhansen@usgs.gov","orcid":"https://orcid.org/0000-0001-8522-3876","contributorId":5006,"corporation":false,"usgs":true,"family":"Hansen","given":"Michael","email":"michaelhansen@usgs.gov","middleInitial":"J.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":734261,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harford, William J.","contributorId":71078,"corporation":false,"usgs":true,"family":"Harford","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":734265,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gallagher, Colin P.","contributorId":204529,"corporation":false,"usgs":false,"family":"Gallagher","given":"Colin","email":"","middleInitial":"P.","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":734266,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Baillie, Shauna M.","contributorId":176176,"corporation":false,"usgs":false,"family":"Baillie","given":"Shauna","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":734267,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Malley, Brendan","contributorId":204531,"corporation":false,"usgs":false,"family":"Malley","given":"Brendan","email":"","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":734268,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tonn, William M.","contributorId":204532,"corporation":false,"usgs":false,"family":"Tonn","given":"William","email":"","middleInitial":"M.","affiliations":[{"id":36696,"text":"University of Alberta","active":true,"usgs":false}],"preferred":false,"id":734269,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Muir, Andrew M.","contributorId":103933,"corporation":false,"usgs":false,"family":"Muir","given":"Andrew M.","affiliations":[],"preferred":false,"id":734270,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Krueger, Charles C.","contributorId":73131,"corporation":false,"usgs":true,"family":"Krueger","given":"Charles C.","affiliations":[],"preferred":false,"id":734271,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70196731,"text":"70196731 - 2018 - Factors impacting hunter access to private lands in southeast Minnesota","interactions":[],"lastModifiedDate":"2018-04-27T13:41:04","indexId":"70196731","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1909,"text":"Human Dimensions of Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Factors impacting hunter access to private lands in southeast Minnesota","docAbstract":"<p><span>White-tailed deer (Odocoileus virginianus) have important socioeconomic and ecological impacts in the United States. Hunting is considered to be important for the effective management of deer and relies on access to privately owned lands. In 2013, we surveyed nonindustrial private landowners in southeast Minnesota and created two logit models to examine factors that impact landowners’ decision to (a) allow public hunting access and (b) post private property. Parcel characteristics were found to impact landowner decisions to allow hunting access, particularly the size of the property and whether it was posted. Hunting access to small properties was more likely to be restricted to family, friends, and neighbors (83%) compared to medium (74%) or large properties (60%). Hunter concerns (e.g., liability) and knowledge about deer management was significant in both models, suggesting there are opportunities to educate landowners about the importance of allowing public hunting access and available liability protections.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10871209.2018.1396510","usgsCitation":"Walberg, E., Cornicelli, L., and Fulton, D.C., 2018, Factors impacting hunter access to private lands in southeast Minnesota: Human Dimensions of Wildlife, v. 23, no. 2, p. 101-114, https://doi.org/10.1080/10871209.2018.1396510.","productDescription":"14 p.","startPage":"101","endPage":"114","ipdsId":"IP-076425","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":353777,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","volume":"23","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-11","publicationStatus":"PW","scienceBaseUri":"5afee6ece4b0da30c1bfbf83","contributors":{"authors":[{"text":"Walberg, Eric","contributorId":204490,"corporation":false,"usgs":false,"family":"Walberg","given":"Eric","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":734152,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cornicelli, Louis","contributorId":199551,"corporation":false,"usgs":false,"family":"Cornicelli","given":"Louis","affiliations":[],"preferred":false,"id":734153,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":734151,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70196773,"text":"70196773 - 2018 -  Incorporating an approach to aid river and reservoir fisheries in an altered landscape","interactions":[],"lastModifiedDate":"2018-05-01T16:42:28","indexId":"70196773","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"129-2018","title":" Incorporating an approach to aid river and reservoir fisheries in an altered landscape","docAbstract":"<p>Reservoir construction for human-use services alters connected riverine flow patterns and influences fish production. We sampled two pelagic fishes from two rivers and two reservoirs and related seasonal and annual hydrology patterns to the recruitment and growth of each species. River and reservoir populations of Freshwater Drum Aplodinotus grunniens reached similar ages (32 and 31, respectively). Likewise, longevity of Gizzard Shad Dorosoma cepedianum between the two systems was also similar (7 and 8 years, respectively). However, both species grew larger in the rivers compared to reservoir residents. Recruitment of Freshwater Drum in reservoirs was negatively related to water retention time (r2=0.59) suggesting moving water through the reservoir was beneficial. Riverine recruitment of Freshwater Drum populations was negatively related to the annual number of flow reversals and positively related to prespawn discharge (r2 = 0.33). Unlike Freshwater Drum, there was no relationship between flow metrics and Gizzard Shad recruitment in reservoirs. However, recruitment of riverine Gizzard Shad was positively related to high flow pulses during the prespawn and spawning seasons (r2 = 0.48). The growth of both species in reservoirs was positively related to the number of days each year that water levels were above the conservation pool. Growth of Freshwater Drum was also negatively related to minimum reservoir summer water levels (r2 = 0.84). Growth of both Freshwater Drum and Gizzard Shad occupying lotic systems was positively related to May (r2 = 0.86) and July discharge (r2 = 0.84), respectively. In general, growth and recruitment of the reservoir populations was more related to annual water patterns, whereas riverine fishes responded more to seasonal flow patterns. Results of this study provide important information on the relationship between hydrology and pelagic fish production in both rivers and reservoirs. This information is useful if agencies are interested in developing holistic river-reservoir water-allocation plans.</p>","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Brewer, S.K., Shoup, D.E., and Dattillo, J., 2018,  Incorporating an approach to aid river and reservoir fisheries in an altered landscape: Cooperator Science Series 129-2018, ii, 66 p.","productDescription":"ii, 66 p.","ipdsId":"IP-094065","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":353904,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":353860,"type":{"id":15,"text":"Index Page"},"url":"https://digitalmedia.fws.gov/cdm/singleitem/collection/document/id/2228/rec/4"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6ece4b0da30c1bfbf7d","contributors":{"authors":[{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":734314,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shoup, Daniel E.","contributorId":141325,"corporation":false,"usgs":false,"family":"Shoup","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":734481,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dattillo, John","contributorId":204603,"corporation":false,"usgs":false,"family":"Dattillo","given":"John","email":"","affiliations":[],"preferred":false,"id":734482,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70196944,"text":"70196944 - 2018 - River flow and riparian vegetation dynamics - implications for management of the Yampa River through Dinosaur National Monument","interactions":[],"lastModifiedDate":"2018-05-21T15:23:20","indexId":"70196944","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/NRSS/WRD/NRR—2018/1619","title":"River flow and riparian vegetation dynamics - implications for management of the Yampa River through Dinosaur National Monument","docAbstract":"<p>This report addresses the relation between flow of the Yampa River and occurrence of herbaceous and woody riparian vegetation in Dinosaur National Monument (DINO) with the goal of informing management decisions related to potential future water development. The Yampa River in DINO flows through diverse valley settings, from the relatively broad restricted meanders of Deerlodge Park to narrower canyons, including debris fan-affected reaches in the upper Yampa Canyon and entrenched meanders in Harding Hole and Laddie Park. Analysis of occurrence of all plant species measured in 1470 quadrats by multiple authors over the last 24 years shows that riparian vegetation along the Yampa River is strongly related to valley setting and geomorphic surfaces, defined here as active channel, active floodplain, inactive floodplain, and upland. Principal Coordinates Ordination arrayed quadrats and species along gradients of overall cover and moisture availability, from upland and inactive floodplain quadrats and associated xeric species like western wheat grass (Pascopyrum smithii), cheatgrass (Bromus tectorum), and saltgrass (Distichlis spicata) to active channel and active floodplain quadrats supporting more mesic species including sandbar willow (Salix exigua), wild licorice (Glycyrrhiza lepidota), and cordgrass (Spartina spp.). Indicator species analysis identified plants strongly correlated with geomorphic surfaces. These species indicate state changes in geomorphic surfaces, such as the conversion of active channel to floodplain during channel narrowing. </p><p>The dominant woody riparian species along the Yampa River are invasive tamarisk (Tamarix ramosissima), and native Fremont cottonwood (Populus deltoides ssp. wislizenii), box elder (Acer negundo L. var. interius), and sandbar willow (Salix exigua). These species differ in tolerance of drought, salinity, inundation, flood disturbance and shade, and in seed size, timing of seed dispersal and ability to form root sprouts. These physiological and ecological differences interact with flow variation and geomorphic setting, resulting in differential patterns of occurrence. For example, in park settings cottonwood is far more abundant than box elder, while the reverse is true in canyons. </p><p>Synthesis of existing knowledge from the Yampa and Green rivers and elsewhere suggests that the following flow-vegetation relations can be used to assess effects of future flow alterations in the Yampa River.</p><ul><li>High variability in flow within and between years removes vegetation through erosion, extended inundation and desiccation, creating the broad, open surfaces in and near the channel that are characteristic of lightly regulated rivers in western North America. This flow variability provides opportunities for establishment of disturbance-dependent riparian species.<br></li><li>Flow regulation that results in lower peak flows and higher low flows allows proliferation of woody riparian vegetation, mostly tamarisk in canyon reaches, but both tamarisk and cottonwood in parks. Denser near-channel vegetation promotes sediment deposition leading to channel narrowing. Decreasing flow variability also increases area of species associated with extremely high and low inundation durations relative to species associated with moderate inundation duration. In addition, such flow regulation decreases occurrence of species tolerant of fluvial disturbance, while increasing occurrence of species tolerant of extended inundation.<br></li><li>Over the long term, establishment of cottonwood and tamarisk requires disturbance by large floods, which provides openings for new individuals. At the annual time scale, establishment can occur in any year or location that provides a moist, open surface free from frequent future disturbance. In canyons, where channel movement is limited, low surfaces are too frequently disturbed for long-term survival of cottonwood, and establishment requirements are generally met only in years of moderate to high peak flows. In park settings cottonwood establishment may also occur in years of low peak flows where survival is promoted by movement of the channel away from the seedling.<br></li><li>Peak flows early in the growing season promote establishment of cottonwood and sandbar willow seedlings relative to those of tamarisk. This is because cottonwood and willow seed release occurs early in the summer, while that of tamarisk occurs later. Late season seed release of tamarisk allows it to establish lower on the floodplain than cottonwood.<br></li><li>Because of its shade tolerance and the energy stored in its large seeds, box elder can become established beneath existing vegetation, an ability not shared by cottonwood, tamarisk or willow. Although box elder does not require flood disturbance, it does take advantage of soil moisture from floods, which allow this species to become established high above the channel.<br></li><li>Decreases in flow peaks, volumes or base flows decrease growth and survival of cottonwood relative to drought-tolerant tamarisk. Storing water from the spring peak in a reservoir for release after the April-July cottonwood growth window may also decrease growth and survival of cottonwood relative to tamarisk. Decreases in peak flows decrease floodplain inundation, which can reduce growth of floodplain species by preventing recharge of the floodplain aquifer.<br></li><li>Two or more years in a row with similar flows promote establishment of woody vegetation. Subsequent sediment deposition around this vegetation, especially if the vegetation is tamarisk, results in channel narrowing and simplification.<br></li><li>Rapid declines in the descending limb of the hydrograph kill riparian woody seedlings by desiccation. Fluctuations in the descending limb can kill seedlings by desiccation and inundation. Thus rapid declines and fluctuations would be counterproductive following early-season peaks prescribed to promote cottonwood, but would be consistent with the goal of preventing tamarisk establishment following a late-season peak.<br></li><li>The tendency of regulated flows to keep returning to a small number of fixed discharge values (such as power plant capacity or a fixed minimum flow) can cause unnaturally sharp banding of geomorphic surfaces, topography and vegetation that is not necessarily erased by large flood peaks.<br></li><li>Changes in sediment load relative to transport capacity may promote channel change especially in alluvial settings. For example, decreases in sediment input from the Little Snake River Basin since 1960 (or earlier) could be associated with channel narrowing and temporary increases in establishment of both cottonwood and tamarisk along the Yampa River.<br></li><li>Increases in salinity of water or soil promote tamarisk over the native woody species. Even if water salinity does not increase, floodplain soil salinity can be increased by decreasing the flushing caused by overbank flooding.<br></li></ul>","language":"English","publisher":"National Park Service","usgsCitation":"Scott, M.L., and Friedman, J.M., 2018, River flow and riparian vegetation dynamics - implications for management of the Yampa River through Dinosaur National Monument: Natural Resource Report NPS/NRSS/WRD/NRR—2018/1619, vii, 42 p.","productDescription":"vii, 42 p.","ipdsId":"IP-088242","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":354363,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":354105,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/DownloadFile/600930"}],"country":"United States","otherGeospatial":"Dinosaur National Monument, Yampa River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.35104370117188,\n              40.40199342239122\n            ],\n            [\n              -108.48587036132812,\n              40.40199342239122\n            ],\n            [\n              -108.48587036132812,\n              40.8034148344062\n            ],\n            [\n              -109.35104370117188,\n              40.8034148344062\n            ],\n            [\n              -109.35104370117188,\n              40.40199342239122\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b155d93e4b092d9651e1b72","contributors":{"authors":[{"text":"Scott, Michael L.","contributorId":204827,"corporation":false,"usgs":false,"family":"Scott","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":735105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663 friedmanj@usgs.gov","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":2473,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","email":"friedmanj@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":735104,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70196516,"text":"70196516 - 2018 - Assessment of two external transmitter attachment methods for Boiga irregularis (Brown Treesnakes)","interactions":[],"lastModifiedDate":"2018-04-12T16:01:13","indexId":"70196516","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Assessment of two external transmitter attachment methods for <i>Boiga irregularis</i> (Brown Treesnakes)","title":"Assessment of two external transmitter attachment methods for Boiga irregularis (Brown Treesnakes)","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Herpetological Review","usgsCitation":"Robinson, C., Viernes, M.C., Reed, R., Yackel, A., and Nafus, M.G., 2018, Assessment of two external transmitter attachment methods for Boiga irregularis (Brown Treesnakes): Herpetological Review, v. 49, no. 1, p. 32-34.","productDescription":"3 p.","startPage":"32","endPage":"34","ipdsId":"IP-088063","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":353384,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6ede4b0da30c1bfbf8f","contributors":{"authors":[{"text":"Robinson, Charlotte J.","contributorId":204205,"corporation":false,"usgs":false,"family":"Robinson","given":"Charlotte J.","affiliations":[{"id":25340,"text":"Cherokee Nation Technologies","active":true,"usgs":false}],"preferred":false,"id":733359,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Viernes, Marijoy C.","contributorId":204206,"corporation":false,"usgs":false,"family":"Viernes","given":"Marijoy","email":"","middleInitial":"C.","affiliations":[{"id":25340,"text":"Cherokee Nation Technologies","active":true,"usgs":false}],"preferred":false,"id":733360,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Robert 0000-0001-8349-6168 reedr@usgs.gov","orcid":"https://orcid.org/0000-0001-8349-6168","contributorId":152301,"corporation":false,"usgs":true,"family":"Reed","given":"Robert","email":"reedr@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":733362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yackel, Amy 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":152310,"corporation":false,"usgs":true,"family":"Yackel","given":"Amy","email":"yackela@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":733361,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nafus, Melia G. 0000-0002-7325-3055 mnafus@usgs.gov","orcid":"https://orcid.org/0000-0002-7325-3055","contributorId":197462,"corporation":false,"usgs":true,"family":"Nafus","given":"Melia","email":"mnafus@usgs.gov","middleInitial":"G.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":733358,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70205660,"text":"70205660 - 2018 - The bees (Hymenoptera: Apoidea) of Louisiana: an updated, annotated checklist","interactions":[],"lastModifiedDate":"2019-10-02T16:40:57","indexId":"70205660","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3152,"text":"Proceedings of the Entomological Society of Washington","active":true,"publicationSubtype":{"id":10}},"title":"The bees (Hymenoptera: Apoidea) of Louisiana: an updated, annotated checklist","docAbstract":"An annotated checklist is provided for 243 species and subspecies of bees collected from or thought to occur in the state of Louisiana, where 163 are confirmed records, 46 are probable records, and 34 are possible records. We also list twelve records considered to be “dubious” because of the absence of supporting collection data and extralimital reported ranges. Data on parish localities, seasonality, and floral records are provided when available. Specimen data are provided from two separate surveys in the state, one focusing on the fauna of longleaf pine savannas and another focusing on Cajun prairie habitat in southwestern Louisiana. Data from a previous annotated checklist of bees from longleaf pine savannas (Bartholomew et al. 2006) are included, as well as online records from the Discover Life checklist (Ascher and Pickering 2016), and bee holdings of the Louisiana State Arthropod Museum (LSAM, Louisiana State University, Baton Rouge, LA).We highlight the role that this museum and similar small institutional insect collections play in documenting faunas on local and regional scales.","language":"English","publisher":"Entomological Society of Washington","doi":"10.4289/0013-8797.120.2.272","usgsCitation":"Owens, B.E., Allain, L.K., VanGorder, E.C., Bossart, J.L., and Carlton, C.E., 2018, The bees (Hymenoptera: Apoidea) of Louisiana: an updated, annotated checklist: Proceedings of the Entomological Society of Washington, v. 120, no. 2, p. 272-307, https://doi.org/10.4289/0013-8797.120.2.272.","productDescription":"36 p.","startPage":"272","endPage":"307","ipdsId":"IP-085990","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":437973,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91LIQ0T","text":"USGS data release","linkHelpText":"Bee populations and habitat survey in southwest Louisiana grasslands"},{"id":367922,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"120","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Owens, Brittany E.","contributorId":219331,"corporation":false,"usgs":false,"family":"Owens","given":"Brittany","email":"","middleInitial":"E.","affiliations":[{"id":39992,"text":"Louisiana State Arthropod Museum, Dept. of Entomology, LSU","active":true,"usgs":false}],"preferred":false,"id":772004,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allain, Larry K. 0000-0002-7717-9761 allainl@usgs.gov","orcid":"https://orcid.org/0000-0002-7717-9761","contributorId":2414,"corporation":false,"usgs":true,"family":"Allain","given":"Larry","email":"allainl@usgs.gov","middleInitial":"K.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":772003,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"VanGorder, Eric C.","contributorId":219332,"corporation":false,"usgs":false,"family":"VanGorder","given":"Eric","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":772005,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bossart, Janice L.","contributorId":219333,"corporation":false,"usgs":false,"family":"Bossart","given":"Janice","email":"","middleInitial":"L.","affiliations":[{"id":39993,"text":"Dept. of Biological Sciences, Southeastern Louisiana University","active":true,"usgs":false}],"preferred":false,"id":772006,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carlton, Christopher E.","contributorId":191860,"corporation":false,"usgs":false,"family":"Carlton","given":"Christopher","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":772007,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70196716,"text":"70196716 - 2018 - Developing a shared understanding of the Upper Mississippi River: the foundation of an ecological resilience assessment","interactions":[],"lastModifiedDate":"2018-04-26T16:11:29","indexId":"70196716","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Developing a shared understanding of the Upper Mississippi River: the foundation of an ecological resilience assessment","docAbstract":"<p><span>The Upper Mississippi River System (UMRS) is a large and complex floodplain river ecosystem that spans the jurisdictions of multiple state and federal agencies. In support of ongoing ecosystem restoration and management by this broad partnership, we are undertaking a resilience assessment of the UMRS. We describe the UMRS in the context of an ecological resilience assessment. Our description articulates the temporal and spatial extent of our assessment of the UMRS, the relevant historical context, the valued services provided by the system, and the fundamental controlling variables that determine its structure and function. An important objective of developing the system description was to determine the simplest, adequate conceptual understanding of the UMRS. We conceptualize a simplified UMRS as three interconnected subsystems: lotic channels, lentic off-channel areas, and floodplains. By identifying controlling variables within each subsystem, we have developed a shared understanding of the basic structure and function of the UMRS, which will serve as the basis for ongoing quantitative evaluations of factors that likely contribute to the resilience of the UMRS. As we undertake the subsequent elements of a resilience assessment, we anticipate our improved understanding of interactions, feedbacks, and critical thresholds will assist natural resource managers to better recognize the system’s ability to adapt to existing and new stresses.</span></p>","language":"English","publisher":"E&S","doi":"10.5751/ES-10014-230206","usgsCitation":"Bouska, K.L., Houser, J.N., De Jager, N.R., and Hendrickson, J.S., 2018, Developing a shared understanding of the Upper Mississippi River: the foundation of an ecological resilience assessment: Ecology and Society, v. 23, no. 2, p. 1-6, https://doi.org/10.5751/ES-10014-230206.","productDescription":"Article 6; 19 p.","startPage":"1","endPage":"6","ipdsId":"IP-080369","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":460977,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-10014-230206","text":"Publisher Index Page"},{"id":353751,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"2","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6ece4b0da30c1bfbf85","contributors":{"authors":[{"text":"Bouska, Kristen L. 0000-0002-4115-2313 kbouska@usgs.gov","orcid":"https://orcid.org/0000-0002-4115-2313","contributorId":178005,"corporation":false,"usgs":true,"family":"Bouska","given":"Kristen","email":"kbouska@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":734111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Houser, Jeffrey N. 0000-0003-3295-3132 jhouser@usgs.gov","orcid":"https://orcid.org/0000-0003-3295-3132","contributorId":2769,"corporation":false,"usgs":true,"family":"Houser","given":"Jeffrey","email":"jhouser@usgs.gov","middleInitial":"N.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":734112,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"De Jager, Nathan R. 0000-0002-6649-4125","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":104616,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":734113,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hendrickson, Jon S.","contributorId":177520,"corporation":false,"usgs":false,"family":"Hendrickson","given":"Jon","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":734114,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70196631,"text":"70196631 - 2018 - Associating sex-biased and seasonal behaviour with contact patterns and transmission risk in Gopherus agassizii","interactions":[],"lastModifiedDate":"2018-10-12T16:10:14","indexId":"70196631","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":986,"text":"Behaviour","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Associating sex-biased and seasonal behaviour with contact patterns and transmission risk in <i>Gopherus agassizii</i>","title":"Associating sex-biased and seasonal behaviour with contact patterns and transmission risk in Gopherus agassizii","docAbstract":"<p><span>Interactions between wildlife hosts act as transmission routes for directly transmitted pathogens and vary in ways that affect transmission efficiency. Identifying drivers of contact variation can allow both contact inference and estimation of transmission dynamics despite limited data. In desert tortoises, mating strategy, burrow use and seasonal change influence numerous behaviours and likely shape contact patterns. In this study, we ask to what extent tortoise contact behaviour varies between sexes and seasons, and whether space or burrow-use data can be used to infer contact characteristics consistent with those recorded by proximity loggers. We identified sex and season-biased contact behaviour in both wild and captive populations indicative of female-female avoidance and seasonal male mate-seeking behaviour. Space and burrow-use patterns were informative, but did not always predict the extent of sex or seasonal biases on contact. We discuss the implications these findings have for transmission patterns and disease mitigation in tortoise populations.</span></p>","language":"English","publisher":"Brill","doi":"10.1163/1568539X-00003477","usgsCitation":"Aiello, C.M., Esque, T., Nussear, K.E., Emblidge, P., and Hudson, P.J., 2018, Associating sex-biased and seasonal behaviour with contact patterns and transmission risk in Gopherus agassizii: Behaviour, v. 155, no. 7-9, p. 585-619, https://doi.org/10.1163/1568539X-00003477.","productDescription":"35 p.","startPage":"585","endPage":"619","ipdsId":"IP-094040","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":353642,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"155","issue":"7-9","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6ede4b0da30c1bfbf89","contributors":{"authors":[{"text":"Aiello, Christina M. 0000-0002-2399-5464 caiello@usgs.gov","orcid":"https://orcid.org/0000-0002-2399-5464","contributorId":5617,"corporation":false,"usgs":true,"family":"Aiello","given":"Christina","email":"caiello@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":733823,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esque, Todd 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":195896,"corporation":false,"usgs":true,"family":"Esque","given":"Todd","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":733822,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nussear, K. E.","contributorId":204375,"corporation":false,"usgs":false,"family":"Nussear","given":"K.","email":"","middleInitial":"E.","affiliations":[{"id":36924,"text":"Univerisity of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":733824,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Emblidge, P. G.","contributorId":204376,"corporation":false,"usgs":false,"family":"Emblidge","given":"P. G.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":733825,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hudson, Peter J.","contributorId":204377,"corporation":false,"usgs":false,"family":"Hudson","given":"Peter","email":"","middleInitial":"J.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":733826,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70196698,"text":"70196698 - 2018 - Reexamining the frequency range of hearing in silver (Hypophthalmichthys molitrix) and bighead (H. nobilis) carp","interactions":[],"lastModifiedDate":"2018-04-26T11:00:16","indexId":"70196698","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Reexamining the frequency range of hearing in silver (<i>Hypophthalmichthys molitrix</i>) and bighead (<i>H. nobilis</i>) carp","title":"Reexamining the frequency range of hearing in silver (Hypophthalmichthys molitrix) and bighead (H. nobilis) carp","docAbstract":"<p><span>Silver (</span><i>Hypophthalmichthys molitrix</i><span>) and bighead (</span><i>H</i><span>.<span>&nbsp;</span></span><i>nobilis</i><span>) carp (collectively bigheaded carp) are invasive fish that threaten aquatic ecosystems in the upper Midwest United States and the Laurentian Great Lakes. Controlling bigheaded carp is a priority of fisheries managers and one area of focus involves developing acoustic deterrents to prevent upstream migration. For an acoustic deterrent to be effective however, the hearing ability of bigheaded carp must be characterized. A previous study showed that bigheaded carp detected sound up to 3 kHz but this range is narrower than what has been reported for other ostariophysans. Therefore, silver and bighead carp frequency detection was evaluated in response to 100 Hz to 9 kHz using auditory evoked potentials (AEPs). AEPs were recorded from 100 Hz to 5 kHz. The lowest thresholds were at 500 Hz for both species (silver carp threshold: 80.6 ± 3.29 dB re 1 μPa SPL</span><sub>rms</sub><span>, bighead carp threshold: 90.5 ± 5.75 dB re 1 μPa SPL</span><sub>rms</sub><span>; mean ± SD). These results provide fisheries managers with better insight on effective acoustic stimuli for deterrent systems, however, to fully determine bigheaded carp hearing abilities, these results need to be compared with behavioral assessments.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0192561","usgsCitation":"Vetter, B.J., Brey, M.K., and Meninger, A.F., 2018, Reexamining the frequency range of hearing in silver (Hypophthalmichthys molitrix) and bighead (H. nobilis) carp: PLoS ONE, v. 13, no. 3, p. 1-15, https://doi.org/10.1371/journal.pone.0192561.","productDescription":"e0192561; 15 p.","startPage":"1","endPage":"15","ipdsId":"IP-089923","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":468875,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0192561","text":"Publisher Index Page"},{"id":437974,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7M61JH0","text":"USGS data release","linkHelpText":"Reexamining silver (Hypophthalmichthys molitrix) and bighead (H. nobilis) carp hearing: Data"},{"id":353725,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"3","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-09","publicationStatus":"PW","scienceBaseUri":"5afee6ece4b0da30c1bfbf87","contributors":{"authors":[{"text":"Vetter, Brooke J.","contributorId":189377,"corporation":false,"usgs":false,"family":"Vetter","given":"Brooke","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":734019,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brey, Marybeth K. 0000-0003-4403-9655 mbrey@usgs.gov","orcid":"https://orcid.org/0000-0003-4403-9655","contributorId":187651,"corporation":false,"usgs":true,"family":"Brey","given":"Marybeth","email":"mbrey@usgs.gov","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":734018,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meninger, Allen F. 0000-0002-9850-798X","orcid":"https://orcid.org/0000-0002-9850-798X","contributorId":204458,"corporation":false,"usgs":false,"family":"Meninger","given":"Allen","email":"","middleInitial":"F.","affiliations":[{"id":18006,"text":"University of Minnesota Duluth","active":true,"usgs":false}],"preferred":false,"id":734020,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70196473,"text":"70196473 - 2018 - Springs as hydrologic refugia in a changing climate? A remote sensing approach","interactions":[],"lastModifiedDate":"2018-04-10T16:51:18","indexId":"70196473","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Springs as hydrologic refugia in a changing climate? A remote sensing approach","docAbstract":"<p><span>Spring‐fed wetlands are ecologically important habitats in arid and semi‐arid regions. Springs have been suggested as possible hydrologic refugia from droughts and climate change; however, springs that depend on recent precipitation or snowmelt for recharge may be vulnerable to warming and drought intensification. Springs that are expected to maintain their ecohydrologic function in a warmer, drier climate may be priorities for conservation and restoration. Identifying such springs is difficult because many springs lack hydrologic records of adequate temporal extent and resolution to assess their resilience to water cycle changes. This study demonstrates proof‐of‐concept for the assessment of certain spring types (i.e., helocrene, hypocrene, and hillslope springs) in terms of hydrologic and ecological resilience to climatic water stress using freely available remote‐sensing and climate data. We used the Normalized Difference Vegetation Index (NDVI) from 1985 through 2011 to delineate surface‐moisture zones (SMZs) associated with 39 clusters of 172 springs in a montane sage‐steppe landscape in southeastern Oregon, USA. We developed and synthesized seven NDVI‐based indicators of SMZ resilience to interannual changes in water availability: (1) mean and (2) standard deviation of July NDVI; (3) mean difference in July NDVI and (4) difference in coefficient of variation for July NDVI between each SMZ and its surrounding watershed; (5) response of SMZ July NDVI to 90‐day antecedent precipitation; (6) response of SMZ July NDVI to the previous winter's snowpack; and (7) range of NDVI values from an exceptionally wet year followed by three dry years. Because all resilience indicators were highly inter‐correlated, we derived an overall metric of SMZ resilience using principal components analysis that accounted for 66% of total variance. This overall resilience score was positively correlated with SMZ elevation, slope, mean annual precipitation, and with the number of associated springs. Resilience was greater for SMZs on topographically shaded, north‐facing slopes. Several high‐resilience SMZs were located immediately below persistent snowbanks, suggesting a possible source of steady recharge throughout the growing season. The approach presented here—if combined with field assessments of spring hydrogeology, discharge, and groundwater age—could help identify spring‐fed wetlands that are most likely to serve as hydrologic refugia from climate change.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.2155","usgsCitation":"Cartwright, J.M., and Johnson, H.M., 2018, Springs as hydrologic refugia in a changing climate? A remote sensing approach: Ecosphere, v. 9, no. 3, p. 1-22, https://doi.org/10.1002/ecs2.2155.","productDescription":"e02155; 22 p.","startPage":"1","endPage":"22","ipdsId":"IP-088217","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":468874,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2155","text":"Publisher Index Page"},{"id":353310,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Steens Mountain Cooperative Manage-ment and Protection Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119,\n              42.3333\n            ],\n            [\n              -118.1667,\n              42.3333\n            ],\n            [\n              -118.1667,\n              43.1667\n            ],\n            [\n              -119,\n              43.1667\n            ],\n            [\n              -119,\n              42.3333\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","issue":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-24","publicationStatus":"PW","scienceBaseUri":"5afee6ede4b0da30c1bfbf93","contributors":{"authors":[{"text":"Cartwright, Jennifer M. 0000-0003-0851-8456 jmcart@usgs.gov","orcid":"https://orcid.org/0000-0003-0851-8456","contributorId":5386,"corporation":false,"usgs":true,"family":"Cartwright","given":"Jennifer","email":"jmcart@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":733120,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Henry M. 0000-0002-7571-4994 hjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7571-4994","contributorId":869,"corporation":false,"usgs":true,"family":"Johnson","given":"Henry","email":"hjohnson@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":733121,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70196381,"text":"70196381 - 2018 - Migratory behavior and physiological development as potential determinants of life history diversity in fall Chinook Salmon in the Clearwater River","interactions":[],"lastModifiedDate":"2018-04-04T14:07:21","indexId":"70196381","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Migratory behavior and physiological development as potential determinants of life history diversity in fall Chinook Salmon in the Clearwater River","docAbstract":"<p><span>We studied the influence of behavior, water velocity, and physiological development on the downstream movement of subyearling fall‐run Chinook Salmon&nbsp;</span><i>Oncorhynchus tshawytscha</i><span><span>&nbsp;</span>in both free‐flowing and impounded reaches of the Clearwater and Snake rivers as potential mechanisms that might explain life history diversity in this stock. Movement rates and the percentage of radio‐tagged fish that moved faster than the average current velocity were higher in the free‐flowing Clearwater River than in impounded reaches. This supports the notion that water velocity is a primary determinant of downstream movement regardless of a fish's physiological development. In contrast, movement rates slowed and detections became fewer in impounded reaches, where water velocities were much lower. The percentage of fish that moved faster than the average current velocity continued to decline and reached zero in the lowermost reach of Lower Granite Reservoir, suggesting that the behavioral disposition to move downstream was low. These findings contrast with those of a similar, previous study of Snake River subyearlings despite similarity in hydrodynamic conditions between the two studies. Physiological differences between Snake and Clearwater River migrants shed light on this disparity. Subyearlings from the Clearwater River were parr‐like in their development and never showed the increase in gill Na</span><sup>+</sup><span>/K</span><sup>+</sup><span>‐ATPase activity displayed by smolts from the Snake River. Results from this study provide evidence that behavioral and life history differences between Snake and Clearwater River subyearlings may have a physiological basis that is modified by environmental conditions.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/tafs.10035","usgsCitation":"Tiffan, K.F., Kock, T.J., Connor, W.P., Richmond, M.C., and Perkins, W., 2018, Migratory behavior and physiological development as potential determinants of life history diversity in fall Chinook Salmon in the Clearwater River: Transactions of the American Fisheries Society, v. 147, no. 2, p. 400-413, https://doi.org/10.1002/tafs.10035.","productDescription":"14 p.","startPage":"400","endPage":"413","ipdsId":"IP-091661","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":353156,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"nited States","state":"Idaho, Washington","otherGeospatial":"Clearwater River, Snake River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.476806640625,\n              46.11322971817248\n            ],\n            [\n              -116.1639404296875,\n              46.11322971817248\n            ],\n            [\n              -116.1639404296875,\n              46.71350244599995\n            ],\n            [\n              -117.476806640625,\n              46.71350244599995\n            ],\n            [\n              -117.476806640625,\n              46.11322971817248\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"147","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-09","publicationStatus":"PW","scienceBaseUri":"5afee6ede4b0da30c1bfbf95","contributors":{"authors":[{"text":"Tiffan, Kenneth F. 0000-0002-5831-2846 ktiffan@usgs.gov","orcid":"https://orcid.org/0000-0002-5831-2846","contributorId":3200,"corporation":false,"usgs":true,"family":"Tiffan","given":"Kenneth","email":"ktiffan@usgs.gov","middleInitial":"F.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":732684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kock, Tobias J. 0000-0001-8976-0230 tkock@usgs.gov","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":3038,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","email":"tkock@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":732685,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Connor, William P.","contributorId":107589,"corporation":false,"usgs":false,"family":"Connor","given":"William","email":"","middleInitial":"P.","affiliations":[{"id":16677,"text":"U.S. Fish and Wildlife Service, Idaho Fishery Resource Office, 276 Dworshak Complex Drive, Orofino, ID  83544","active":true,"usgs":false}],"preferred":false,"id":732686,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Richmond, Marshall C.","contributorId":203937,"corporation":false,"usgs":false,"family":"Richmond","given":"Marshall","email":"","middleInitial":"C.","affiliations":[{"id":36766,"text":"Pacific Northwest National Laboratory, P.O. Box 999, Richland, WA  99352","active":true,"usgs":false}],"preferred":false,"id":732687,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perkins, William A.","contributorId":203938,"corporation":false,"usgs":false,"family":"Perkins","given":"William A.","affiliations":[{"id":36766,"text":"Pacific Northwest National Laboratory, P.O. Box 999, Richland, WA  99352","active":true,"usgs":false}],"preferred":false,"id":732688,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70196509,"text":"70196509 - 2018 - High pressure size exclusion chromatography (HPSEC) determination of dissolved organic matter molecular weight revisited: Accounting for changes in stationary phases, analytical standards, and isolation methods","interactions":[],"lastModifiedDate":"2018-04-12T16:30:16","indexId":"70196509","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"High pressure size exclusion chromatography (HPSEC) determination of dissolved organic matter molecular weight revisited: Accounting for changes in stationary phases, analytical standards, and isolation methods","docAbstract":"<p><span>We reassessed the molecular weight of dissolved organic matter (DOM) determined by high pressure size exclusion chromatography (HPSEC) using measurements made with different columns and various generations of polystyrenesulfonate (PSS) molecular weight standards. Molecular weight measurements made with a newer generation HPSEC column and PSS standards from more recent lots are roughly 200 to 400 Da lower than initial measurements made in the early 1990s. These updated numbers match DOM molecular weights measured by colligative methods and fall within a range of values calculated from hydroxyl radical kinetics. These changes suggest improved accuracy of HPSEC molecular weight measurements that we attribute to improved accuracy of PSS standards and changes in the column packing. We also isolated DOM from wetlands in the Prairie Pothole Region (PPR) using XAD-8, a cation exchange resin, and PPL, a styrene-divinylbenzene media, and observed little difference in molecular weight and specific UV absorbance at 280 nm (SUVA</span><sub>280</sub><span>) between the two solid phase extraction resins, suggesting they capture similar DOM moieties. PPR DOM also showed lower SUVA</span><sub>280</sub><span><span>&nbsp;</span>at similar weights compared to DOM isolates from a global range of environments, which we attribute to oxidized sulfur in PPR DOM that would increase molecular weight without affecting SUVA</span><sub>280</sub><span>.</span></p>","language":"English","publisher":"ACS","doi":"10.1021/acs.est.7b04401","usgsCitation":"McAdams, B.C., Aiken, G.R., McKnight, D.M., Arnold, W.A., and Chin, Y., 2018, High pressure size exclusion chromatography (HPSEC) determination of dissolved organic matter molecular weight revisited: Accounting for changes in stationary phases, analytical standards, and isolation methods: Environmental Science & Technology, v. 52, no. 2, p. 722-730, https://doi.org/10.1021/acs.est.7b04401.","productDescription":"9 p.","startPage":"722","endPage":"730","ipdsId":"IP-080136","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":353392,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-26","publicationStatus":"PW","scienceBaseUri":"5afee6ede4b0da30c1bfbf91","contributors":{"authors":[{"text":"McAdams, Brandon C.","contributorId":195649,"corporation":false,"usgs":false,"family":"McAdams","given":"Brandon","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":733323,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":733322,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKnight, Diane M.","contributorId":59773,"corporation":false,"usgs":false,"family":"McKnight","given":"Diane","email":"","middleInitial":"M.","affiliations":[{"id":16833,"text":"INSTAAR, University of Colorado","active":true,"usgs":false}],"preferred":false,"id":733324,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arnold, William A.","contributorId":204181,"corporation":false,"usgs":false,"family":"Arnold","given":"William","email":"","middleInitial":"A.","affiliations":[{"id":36872,"text":"Department of Civil, Environmental, and Geo-Engineering, University of Minnesota, 500 Pillsbury Drive Southeast, Minneapolis, Minnesota","active":true,"usgs":false}],"preferred":false,"id":733325,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chin, Yu-Ping","contributorId":204182,"corporation":false,"usgs":false,"family":"Chin","given":"Yu-Ping","email":"","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":733326,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70197440,"text":"70197440 - 2018 - Habitat mosaics and path analysis can improve biological conservation of aquatic biodiversity in ecosystems with low-head dams","interactions":[],"lastModifiedDate":"2018-06-05T10:09:58","indexId":"70197440","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Habitat mosaics and path analysis can improve biological conservation of aquatic biodiversity in ecosystems with low-head dams","docAbstract":"<p><span>Conserving native biodiversity&nbsp;depends on restoring functional habitats in the face of human-induced disturbances. Low-head dams are a ubiquitous human impact that degrades aquatic ecosystems&nbsp;worldwide. To improve our understanding of how low-head dams impact habitat and associated biodiversity, our research examined complex interactions among three spheres of the total environment. i.e., how low-head dams (</span><i>anthroposphere</i><span>) affect aquatic habitat (</span><span><i>hydrosphere</i></span><span>), and native biodiversity (<i>biosphere</i></span><span><span><span>) in streams and rivers. Creation of lake-like habitats upstream of low-head dams is a well-documented major impact of dams. Alterations downstream of low head dams also have important consequences, but these downstream dam effects are more challenging to detect. In a multidisciplinary field study at five dammed and five undammed sites within the Neosho River basin, KS, we tested hypotheses about two types of habitat sampling (transect and mosaic) and two types of statistical analyses (analysis of covariance and path analysis). We used fish as our example of biodiversity alteration. Our research provided three insights that can aid environmental professionals who seek to conserve and restore fish biodiversity in aquatic ecosystems threatened by human modifications. First, a mosaic approach identified habitat alterations below low-head dams (e.g. increased proportion of riffles) that were not detected using the more commonly-used transect sampling approach. Second, the&nbsp;habitat mosaic<span>&nbsp;</span>approach illustrated how low-head dams reduced natural variation in stream habitat. Third,<span> path analysis,</span></span>&nbsp;a statistical approach that tests indirect effects, showed how dams, habitat, and fish biodiversity interact. Specifically, path analysis revealed that low-head dams increased the proportion of riffle habitat below dams, and, as a result, indirectly increased fish<span> species richness</span></span>. Furthermore, the pool habitat that was created above low-head dams dramatically decreased fish species richness. As we show here, mosaic habitat sampling and path analysis can help conservation practitioners improve science-based management plans for disturbed aquatic systems worldwide.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2017.10.272","usgsCitation":"Hitchman, S.M., Mather, M.E., Smith, J.M., and Fencl, J.S., 2018, Habitat mosaics and path analysis can improve biological conservation of aquatic biodiversity in ecosystems with low-head dams: Science of the Total Environment, v. 619-620, p. 221-231, https://doi.org/10.1016/j.scitotenv.2017.10.272.","productDescription":"11 p.","startPage":"221","endPage":"231","ipdsId":"IP-087904","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":354713,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","otherGeospatial":"Neosho River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.174072265625,\n              38.19502155795575\n            ],\n            [\n              -95.7568359375,\n              38.19502155795575\n            ],\n            [\n              -95.7568359375,\n              38.7283759182398\n            ],\n            [\n              -97.174072265625,\n              38.7283759182398\n            ],\n            [\n              -97.174072265625,\n              38.19502155795575\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"619-620","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e5a2e4b060350a15d1f2","contributors":{"authors":[{"text":"Hitchman, Sean M.","contributorId":204805,"corporation":false,"usgs":false,"family":"Hitchman","given":"Sean","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":737223,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mather, Martha E. 0000-0003-3027-0215 mather@usgs.gov","orcid":"https://orcid.org/0000-0003-3027-0215","contributorId":2580,"corporation":false,"usgs":true,"family":"Mather","given":"Martha","email":"mather@usgs.gov","middleInitial":"E.","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":737164,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Joseph M.","contributorId":106712,"corporation":false,"usgs":false,"family":"Smith","given":"Joseph","email":"","middleInitial":"M.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false},{"id":17855,"text":"School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":737224,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fencl, Jane S.","contributorId":166699,"corporation":false,"usgs":false,"family":"Fencl","given":"Jane","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":737225,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70263793,"text":"70263793 - 2018 - New petrological, geochemical, and geochronological perspectives on andesite-dacite magma genesis at Ruapehu volcano, New Zealand","interactions":[],"lastModifiedDate":"2025-02-24T15:40:25.689744","indexId":"70263793","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":738,"text":"American Mineralogist","active":true,"publicationSubtype":{"id":10}},"title":"New petrological, geochemical, and geochronological perspectives on andesite-dacite magma genesis at Ruapehu volcano, New Zealand","docAbstract":"<div class=\"\"><div id=\"114295998\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>Time–composition relationships in eruptive sequences at composite volcanoes can show how the ongoing intrusion of magmas progressively affects the lithosphere at continental convergent margins. Here, new whole-rock and microanalytical major and trace element data from andesite-dacite lava flows are integrated with previous studies and existing isotopic data, and placed within the framework of a high-resolution chronostratigraphy for Ruapehu volcano (southern Taupo Volcanic Zone, New Zealand). The geochemical evolution of lavas erupted over the ∼200 kyr lifetime of the exposed edifice reflects variable degrees of fractionation and systematic changes in the type of crustal assimilation in the Ruapehu magma system. Lavas erupted from ∼200–150 ka have previously been distinguished from those erupted &lt;150 ka based on Sr-Nd isotopic characteristics, which indicate that the oldest lavas were sourced from magmas that assimilated oceanic crust. Such source rocks underlie the regionally widespread Mesozoic meta-sedimentary greywacke-argillite basement, which was conversely assimilated by &lt;150 ka magmas. New results from this work reveal that since 150 ka, an upper limit of magma differentiation occurred from ∼50–35 ka. High K<sub>2</sub>O (∼6 wt%) and Rb contents (∼270 ppm) in melt inclusions, interstitial glass, and glass from in situ quenched melts of partially fused crustal xenoliths are reported for andesite-dacite lavas erupted during this period. In addition to crystal fractionation, selective partial melting and assimilation of K- and Rb-rich mineral phases (e.g., biotite, K-feldspar) that are significant components of the meta-sedimentary basement rocks is inferred to explain these geochemical characteristics. These processes coincided also with the effusion of high-MgO andesitedacite lavas that display petrological evidence for mixing between andesite-dacite and more mafic magmas. An influx of hotter mafic magma into the system explains why the extent of crustal assimilation recorded by Ruapehu lavas peaked during the ∼50–35 ka eruptive period. From 26 ka to the present, andesite lavas have reverted to more mafic compositions with less potassic melt inclusion and whole-rock compositions when compared to the ∼50–35 ka lavas. We suggest that the younger lavas assimilated less-enriched melts because fertile phases had been preferentially extracted from the crustal column during earlier magmatism. This scenario of bottom-up heating of the lithosphere and exhaustion of fertile phases due to the progressive intrusion of magma explains the geochemical evolution of Ruapehu lavas. This model may be applicable to other long-lived composite volcanoes of the circum-Pacific continental arcs.</p></div></div>","language":"English","publisher":"GeoScienceWorld","doi":"10.2138/am-2018-6199","usgsCitation":"Conway, C., Gamble, J.A., Wilson, C., Leonard, G.S., Townsend, D.B., and Calvert, A.T., 2018, New petrological, geochemical, and geochronological perspectives on andesite-dacite magma genesis at Ruapehu volcano, New Zealand: American Mineralogist, v. 103, no. 4, p. 565-581, https://doi.org/10.2138/am-2018-6199.","productDescription":"17 p.","startPage":"565","endPage":"581","ipdsId":"IP-093384","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":489946,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10468/7029","text":"External Repository"},{"id":482379,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","otherGeospatial":"Taupo Volcanic Zone","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              173.55101857405305,\n              -37.4048053232264\n            ],\n            [\n              173.55101857405305,\n              -39.65910468474032\n            ],\n            [\n              178.92055474701465,\n              -39.65910468474032\n            ],\n            [\n              178.92055474701465,\n              -37.4048053232264\n            ],\n            [\n              173.55101857405305,\n              -37.4048053232264\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"103","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Conway, Chris E","contributorId":351279,"corporation":false,"usgs":false,"family":"Conway","given":"Chris E","affiliations":[{"id":27874,"text":"Victoria University","active":true,"usgs":false}],"preferred":false,"id":928305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gamble, John A","contributorId":243348,"corporation":false,"usgs":false,"family":"Gamble","given":"John","email":"","middleInitial":"A","affiliations":[{"id":27874,"text":"Victoria University","active":true,"usgs":false}],"preferred":false,"id":928306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Colin J.N. 0000-0001-7565-0743","orcid":"https://orcid.org/0000-0001-7565-0743","contributorId":205373,"corporation":false,"usgs":false,"family":"Wilson","given":"Colin J.N.","affiliations":[{"id":37090,"text":"Victoria University: Wellington, New Zealand","active":true,"usgs":false}],"preferred":false,"id":928307,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leonard, Graham S.","contributorId":127469,"corporation":false,"usgs":false,"family":"Leonard","given":"Graham","email":"","middleInitial":"S.","affiliations":[{"id":5111,"text":"GNS Science, New Zealand","active":true,"usgs":false}],"preferred":false,"id":928308,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Townsend, Dougal B.","contributorId":345555,"corporation":false,"usgs":false,"family":"Townsend","given":"Dougal","email":"","middleInitial":"B.","affiliations":[{"id":36277,"text":"GNS Science","active":true,"usgs":false}],"preferred":false,"id":928309,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Calvert, Andrew T. 0000-0001-5237-2218 acalvert@usgs.gov","orcid":"https://orcid.org/0000-0001-5237-2218","contributorId":2694,"corporation":false,"usgs":true,"family":"Calvert","given":"Andrew","email":"acalvert@usgs.gov","middleInitial":"T.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":928310,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70196846,"text":"70196846 - 2018 - Estimating the effects of wetland conservation practices in croplands: Approaches for modeling in CEAP–Cropland Assessment","interactions":[],"lastModifiedDate":"2018-05-08T12:49:29","indexId":"70196846","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5684,"text":"CEAP-Wetlands Science Note","active":true,"publicationSubtype":{"id":1}},"title":"Estimating the effects of wetland conservation practices in croplands: Approaches for modeling in CEAP–Cropland Assessment","docAbstract":"<p>Quantifying the current and potential benefits of conservation practices can be a valuable tool for encouraging greater practice adoption on agricultural lands. A goal of the CEAP-Cropland Assessment is to estimate the environmental effects of conservation practices that reduce losses (exports) of soil, nutrients, and pesticides from farmlands to streams and rivers. The assessment approach combines empirical data on reported cropland practices with simulation modeling that compares field-level exports for scenarios “with practices” and “without practices.” </p><p>Conserved, restored, and created wetlands collectively represent conservation practices that can influence sediment and nutrient exports from croplands. However, modeling the role of wetlands within croplands presents some challenges, including the potential for negative impacts of sediment and nutrient inputs on wetland functions. </p><p>This Science Note outlines some preliminary solutions for incorporating wetlands and wetland practices into the CEAP-Cropland modeling framework. First, modeling the effects of wetland practices requires identifying wetland hydrogeomorphic type and accounting for the condition of both the wetland and an adjacent upland zone. Second, modeling is facilitated by classifying wetland-related practices into two functional categories (wetland and upland buffer). Third, simulating practice effects requires alternative field configurations to account for hydrological differences among wetland types. These ideas are illustrated for two contrasting wetland types (riparian and depressional).</p>","language":"English","publisher":"Natural Resources Conservation Service","usgsCitation":"De Steven, D., and Mushet, D., 2018, Estimating the effects of wetland conservation practices in croplands: Approaches for modeling in CEAP–Cropland Assessment: CEAP-Wetlands Science Note, 6 p.","productDescription":"6 p.","ipdsId":"IP-088659","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":354009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":353958,"type":{"id":15,"text":"Index Page"},"url":"https://www.nrcs.usda.gov/Internet/FSE_DOCUMENTS/nrcseprd1396219.pdf"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6ece4b0da30c1bfbf79","contributors":{"authors":[{"text":"De Steven, Diane","contributorId":204688,"corporation":false,"usgs":false,"family":"De Steven","given":"Diane","email":"","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":734691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mushet, David 0000-0002-5910-2744","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":201803,"corporation":false,"usgs":true,"family":"Mushet","given":"David","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":734690,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70198078,"text":"70198078 - 2018 - Monogenetic origin of Ubehebe Crater maar volcano, Death Valley, California: Paleomagnetic and stratigraphic evidence","interactions":[],"lastModifiedDate":"2018-07-13T09:56:43","indexId":"70198078","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Monogenetic origin of Ubehebe Crater maar volcano, Death Valley, California: Paleomagnetic and stratigraphic evidence","docAbstract":"<p id=\"sp0040\"><span>Paleomagnetic data for samples collected from outcrops&nbsp;of basaltic spatter at the Ubehebe Crater cluster, Death Valley National Park, California, record a single direction of&nbsp;remanent magnetization&nbsp;indicating that these materials were emplaced during a short duration, monogenetic eruption sequence ~</span>&nbsp;2100&nbsp;<span>years ago. This conclusion is supported by geochemical data encompassing a narrow range of&nbsp;oxide&nbsp;variation, by detailed stratigraphic studies of conformable phreatomagmatic&nbsp;tephra&nbsp;deposits showing no evidence of erosion between layers, by draping of sharp rimmed craters by later tephra falls, and by oxidation of later tephra layers by the remaining heat of earlier spatter.&nbsp;</span>This model is also supported through a reinterpretation and recalculation of the published<span>&nbsp;</span><span>age results (Sasnett et al., 2012) from an innovative and bold exposure-age study on very young materials. Their conclusion of multiple and protracted eruptions at Ubehebe Crater cluster is here modified through the understanding that some of their quartz-bearing<span>&nbsp;clasts&nbsp;</span>inherited</span><span>&nbsp;from previous exposure on the fan surface (too old), and that other clasts were only exposed at the surface by wind and/or<span>&nbsp;water erosion</span><span>&nbsp;</span>centuries after their eruption (too young).&nbsp;</span>Ubehebe Crater cluster is a well preserved example of young monogenetic<span>&nbsp;maar</span><span><span>&nbsp;</span>type<span>&nbsp;volcanism&nbsp;</span>protected within a National Park, and it represents neither a protracted eruption sequence as previously thought, nor a continuing volcanic hazard near its location.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2017.12.018","usgsCitation":"Champion, D.E., Cyr, A.J., Fierstein, J., and Hildreth, E., 2018, Monogenetic origin of Ubehebe Crater maar volcano, Death Valley, California: Paleomagnetic and stratigraphic evidence: Journal of Volcanology and Geothermal Research, v. 354, p. 67-73, https://doi.org/10.1016/j.jvolgeores.2017.12.018.","productDescription":"7 p.","startPage":"67","endPage":"73","ipdsId":"IP-091275","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":355657,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Death Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.73223876953124,\n              36.75539006003673\n            ],\n            [\n              -117.08404541015625,\n              36.75539006003673\n            ],\n            [\n              -117.08404541015625,\n              37.22048689588553\n            ],\n            [\n              -117.73223876953124,\n              37.22048689588553\n            ],\n            [\n              -117.73223876953124,\n              36.75539006003673\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"354","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc473e4b0f5d57878ea8e","contributors":{"authors":[{"text":"Champion, Duane E. 0000-0001-7854-9034 dchamp@usgs.gov","orcid":"https://orcid.org/0000-0001-7854-9034","contributorId":2912,"corporation":false,"usgs":true,"family":"Champion","given":"Duane","email":"dchamp@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":739919,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cyr, Andrew J. 0000-0003-2293-5395 acyr@usgs.gov","orcid":"https://orcid.org/0000-0003-2293-5395","contributorId":3539,"corporation":false,"usgs":true,"family":"Cyr","given":"Andrew","email":"acyr@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":739920,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fierstein, Judith 0000-0001-8024-1426 jfierstn@usgs.gov","orcid":"https://orcid.org/0000-0001-8024-1426","contributorId":147000,"corporation":false,"usgs":true,"family":"Fierstein","given":"Judith","email":"jfierstn@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":739921,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hildreth, Edward 0000-0002-7925-4251 hildreth@usgs.gov","orcid":"https://orcid.org/0000-0002-7925-4251","contributorId":146999,"corporation":false,"usgs":true,"family":"Hildreth","given":"Edward","email":"hildreth@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":739922,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70196965,"text":"70196965 - 2018 - Tundra landform and vegetation productivity trend maps for the Arctic Coastal Plain of northern Alaska","interactions":[],"lastModifiedDate":"2018-05-15T16:50:33","indexId":"70196965","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3907,"text":"Scientific Data","active":true,"publicationSubtype":{"id":10}},"title":"Tundra landform and vegetation productivity trend maps for the Arctic Coastal Plain of northern Alaska","docAbstract":"<p><span>Arctic tundra landscapes are composed of a complex mosaic of patterned ground features, varying in soil moisture, vegetation composition, and surface hydrology over small spatial scales (10–100 m). The importance of microtopography and associated geomorphic landforms in influencing ecosystem structure and function is well founded, however, spatial data products describing local to regional scale distribution of patterned ground or polygonal tundra geomorphology are largely unavailable. Thus, our understanding of local impacts on regional scale processes (e.g., carbon dynamics) may be limited. We produced two key spatiotemporal datasets spanning the Arctic Coastal Plain of northern Alaska (~60,000 km</span><sup>2</sup><span>) to evaluate climate-geomorphological controls on arctic tundra productivity change, using (1) a novel 30 m classification of polygonal tundra geomorphology and (2) decadal-trends in surface greenness using the Landsat archive (1999–2014). These datasets can be easily integrated and adapted in an array of local to regional applications such as (1) upscaling plot-level measurements (e.g., carbon/energy fluxes), (2) mapping of soils, vegetation, or permafrost, and/or (3) initializing ecosystem biogeochemistry, hydrology, and/or habitat modeling.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/sdata.2018.58","usgsCitation":"Lara, M.J., Nitze, I., Grosse, G., and McGuire, A.D., 2018, Tundra landform and vegetation productivity trend maps for the Arctic Coastal Plain of northern Alaska: Scientific Data, v. 5, p. 1-10, https://doi.org/10.1038/sdata.2018.58.","productDescription":"Article number: 180058; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-088497","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":468870,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/sdata.2018.58","text":"Publisher Index Page"},{"id":354201,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic Coastal Plain","volume":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-10","publicationStatus":"PW","scienceBaseUri":"5afee6ece4b0da30c1bfbf73","contributors":{"authors":[{"text":"Lara, Mark J.","contributorId":194640,"corporation":false,"usgs":false,"family":"Lara","given":"Mark","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":735152,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nitze, Ingmar","contributorId":191057,"corporation":false,"usgs":false,"family":"Nitze","given":"Ingmar","affiliations":[],"preferred":false,"id":735153,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grosse, Guido","contributorId":101475,"corporation":false,"usgs":true,"family":"Grosse","given":"Guido","affiliations":[{"id":34291,"text":"University of Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":735154,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGuire, A. David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":735151,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70196531,"text":"70196531 - 2018 - Tropical cyclone activities: Asia Pacific Region","interactions":[],"lastModifiedDate":"2020-08-20T16:44:37.061189","indexId":"70196531","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"6","title":"Tropical cyclone activities: Asia Pacific Region","docAbstract":"<p>No abstract available.<br></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Exploring natural hazards: A case study approach","language":"English","publisher":"CRC Press","isbn":"9781138054424","usgsCitation":"Harriman, L.M., 2018, Tropical cyclone activities: Asia Pacific Region, chap. 6 <i>of</i> Exploring natural hazards: A case study approach, p. 141-158.","productDescription":"18 p.","startPage":"141","endPage":"158","ipdsId":"IP-055953","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":353483,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":353422,"type":{"id":15,"text":"Index Page"},"url":"https://www.crcpress.com/Exploring-Natural-Hazards-A-Case-Study-Approach/Bartlett-Singh/p/book/9781138054424"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6ede4b0da30c1bfbf8d","contributors":{"authors":[{"text":"Harriman, Lindsey M. 0000-0001-9312-7622 lharriman@usgs.gov","orcid":"https://orcid.org/0000-0001-9312-7622","contributorId":5404,"corporation":false,"usgs":true,"family":"Harriman","given":"Lindsey","email":"lharriman@usgs.gov","middleInitial":"M.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":733444,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70196379,"text":"70196379 - 2018 - Juvenile Chinook Salmon mortality in a Snake River Reservoir: Smallmouth Bass predation revisited","interactions":[],"lastModifiedDate":"2018-04-04T14:11:06","indexId":"70196379","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Juvenile Chinook Salmon mortality in a Snake River Reservoir: Smallmouth Bass predation revisited","docAbstract":"<p><span>Predation by nonnative fishes has been identified as a contributing factor in the decline of juvenile salmonids in the Columbia River basin. We examined the diet composition of Smallmouth Bass&nbsp;</span><i>Micropterus dolomieu</i><span><span>&nbsp;</span>and estimated the consumption and predation loss of juvenile Chinook Salmon<span>&nbsp;</span></span><i>Oncorhynchus tshawytscha</i><span><span>&nbsp;</span>in Lower Granite Reservoir on the Snake River. We examined 4,852 Smallmouth Bass stomachs collected from shoreline habitats during April–September 2013–2015. Chinook Salmon were the second most commonly consumed fish by all size‐classes of Smallmouth Bass (≥150&nbsp;mm TL) throughout the study. Over the 3&nbsp;years studied, we estimated that a total of 300,373 Chinook Salmon were consumed by Smallmouth Bass in our 22‐km study area, of which 97% (291,884) were subyearlings (age 0) based on length frequency data. A majority of the loss (61%) occurred during June, which coincided with the timing of hatchery releases of subyearling fall Chinook Salmon. Compared to an earlier study, mean annual predation loss increased more than 15‐fold from 2,670 Chinook Salmon during 1996–1997 to 41,145 Chinook Salmon during 2013–2015 (in reaches that could be compared), despite lower contemporary Smallmouth Bass abundances. This increase can be explained in part by increases in Smallmouth Bass consumption rates, which paralleled increases in subyearling Chinook Salmon densities—an expected functional response by an opportunistic consumer. Smallmouth Bass are currently significant predators of subyearling Chinook Salmon in Lower Granite Reservoir and could potentially be a large source of unexplained mortality.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/tafs.10026","usgsCitation":"Erhardt, J.M., Tiffan, K.F., and Connor, W.P., 2018, Juvenile Chinook Salmon mortality in a Snake River Reservoir: Smallmouth Bass predation revisited: Transactions of the American Fisheries Society, v. 147, no. 2, p. 316-328, https://doi.org/10.1002/tafs.10026.","productDescription":"13 p.","startPage":"316","endPage":"328","ipdsId":"IP-090925","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":353157,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Washington","otherGeospatial":"Lower Granite Reservoir, Snake River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.19390869140625,\n              46.322274857040256\n            ],\n            [\n              -116.94225311279295,\n              46.322274857040256\n            ],\n            [\n              -116.94225311279295,\n              46.44684686803493\n            ],\n            [\n              -117.19390869140625,\n              46.44684686803493\n            ],\n            [\n              -117.19390869140625,\n              46.322274857040256\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"147","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-07","publicationStatus":"PW","scienceBaseUri":"5afee6ede4b0da30c1bfbf97","contributors":{"authors":[{"text":"Erhardt, John M. 0000-0002-5170-285X jerhardt@usgs.gov","orcid":"https://orcid.org/0000-0002-5170-285X","contributorId":5380,"corporation":false,"usgs":true,"family":"Erhardt","given":"John","email":"jerhardt@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":732680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tiffan, Kenneth F. 0000-0002-5831-2846 ktiffan@usgs.gov","orcid":"https://orcid.org/0000-0002-5831-2846","contributorId":3200,"corporation":false,"usgs":true,"family":"Tiffan","given":"Kenneth","email":"ktiffan@usgs.gov","middleInitial":"F.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":732679,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Connor, William P.","contributorId":107589,"corporation":false,"usgs":false,"family":"Connor","given":"William","email":"","middleInitial":"P.","affiliations":[{"id":16677,"text":"U.S. Fish and Wildlife Service, Idaho Fishery Resource Office, 276 Dworshak Complex Drive, Orofino, ID  83544","active":true,"usgs":false}],"preferred":false,"id":732681,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70196860,"text":"70196860 - 2018 - Efficacy of using data from angler-caught Burbot to estimate population rate functions","interactions":[],"lastModifiedDate":"2018-05-07T11:07:24","indexId":"70196860","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Efficacy of using data from angler-caught Burbot to estimate population rate functions","docAbstract":"<p><span>The effective management of a fish population depends on the collection of accurate demographic data from that population. Since demographic data are often expensive and difficult to obtain, developing cost‐effective and efficient collection methods is a high priority. This research evaluates the efficacy of using angler‐supplied data to monitor a nonnative population of Burbot&nbsp;</span><i>Lota lota</i><span>. Age and growth estimates were compared between Burbot collected by anglers and those collected in trammel nets from two Wyoming reservoirs. Collection methods produced different length‐frequency distributions, but no difference was observed in age‐frequency distributions. Mean back‐calculated lengths at age revealed that netted Burbot grew faster than angled Burbot in Fontenelle Reservoir. In contrast, angled Burbot grew slightly faster than netted Burbot in Flaming Gorge Reservoir. Von Bertalanffy growth models differed between collection methods, but differences in parameter estimates were minor. Estimates of total annual mortality (</span><i>A</i><span>) of Burbot in Fontenelle Reservoir were comparable between angled (</span><i>A&nbsp;</i><span>=</span><i>&nbsp;</i><span>35.4%) and netted fish (33.9%); similar results were observed in Flaming Gorge Reservoir for angled (29.3%) and netted fish (30.5%). Beverton–Holt yield‐per‐recruit models were fit using data from both collection methods. Estimated yield differed by less than 15% between data sources and reservoir. Spawning potential ratios indicated that an exploitation rate of 20% would be required to induce recruitment overfishing in either reservoir, regardless of data source. Results of this study suggest that angler‐supplied data are useful for monitoring Burbot population dynamics in Wyoming and may be an option to efficiently monitor other fish populations in North America.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/nafm.10031","usgsCitation":"Brauer, T.A., Rhea, D.T., Walrath, J.D., and Quist, M.C., 2018, Efficacy of using data from angler-caught Burbot to estimate population rate functions: North American Journal of Fisheries Management, v. 38, no. 2, p. 346-354, https://doi.org/10.1002/nafm.10031.","productDescription":"9 p.","startPage":"346","endPage":"354","ipdsId":"IP-088701","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":353973,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Green River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.2423095703125,\n              41.000629848685385\n            ],\n            [\n              -109.324951171875,\n              41.000629848685385\n            ],\n            [\n              -109.324951171875,\n              42.20817645934742\n            ],\n            [\n              -110.2423095703125,\n              42.20817645934742\n            ],\n            [\n              -110.2423095703125,\n              41.000629848685385\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"38","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-10","publicationStatus":"PW","scienceBaseUri":"5afee6ece4b0da30c1bfbf77","contributors":{"authors":[{"text":"Brauer, Tucker A.","contributorId":204716,"corporation":false,"usgs":false,"family":"Brauer","given":"Tucker","email":"","middleInitial":"A.","affiliations":[{"id":36977,"text":"Department of Fish and Wildlife Sciences, University of Idaho","active":true,"usgs":false}],"preferred":false,"id":734788,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rhea, Darren T.","contributorId":204717,"corporation":false,"usgs":false,"family":"Rhea","given":"Darren","email":"","middleInitial":"T.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":734789,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walrath, John D.","contributorId":204718,"corporation":false,"usgs":false,"family":"Walrath","given":"John","email":"","middleInitial":"D.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":734790,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Quist, Michael C. 0000-0001-8268-1839 mquist@usgs.gov","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":171392,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":734787,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70197098,"text":"70197098 - 2018 - Plasticity in physiological condition of female brown bears across diverse ecosystems","interactions":[],"lastModifiedDate":"2018-05-20T18:31:43","indexId":"70197098","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3093,"text":"Polar Biology","active":true,"publicationSubtype":{"id":10}},"title":"Plasticity in physiological condition of female brown bears across diverse ecosystems","docAbstract":"<p><span>Variation in life history strategies facilitates the near global distribution of mammals by expanding realized niche width. We investigated physiological plasticity in the spring body composition of adult female brown bears (</span><i class=\"EmphasisTypeItalic \">Ursus arctos</i><span>) across 4 diverse Alaskan ecosystems. Brown bears are a highly intelligent omnivore with a historic range spanning much of North America, Europe, and Asia. We hypothesized that body mass, fat mass, lean mass, and total caloric content would increase across populations with increasing food resource availability. Throughout their range, brown bears enter a period of torpor during winter months, decreasing their metabolic rate as an adaptation to this period of reduced food availability. They also give birth to and nourish offspring during this time. Due to this specific life history strategy, we further hypothesized that proportional body fat and the proportion of total calories derived from fat would be consistent across populations. Our results supported our first hypothesis: body, fat, and lean masses, and caloric content of bears across populations increased with the quality and abundance of available food. However, the proportional body fat content and proportion of calories from fat differed across populations indicating population-specific strategies to meet the demands of reduced seasonal food availability, offspring production and rearing, and climate as well as some plasticity to respond to environmental change or ecosystem perturbations. Investigations of body condition and energetics benefit from combined assessments of absolute, proportional, and caloric metrics to understand the nuances of brown bear physiological dynamics across and within populations.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00300-017-2238-5","usgsCitation":"Hilderbrand, G., Gustine, D., Mangipane, B.A., Joly, K., Leacock, W., Mangipane, L., Erlenbach, J., Sorum, M., Cameron, M., Belant, J.L., and Cambier, T., 2018, Plasticity in physiological condition of female brown bears across diverse ecosystems: Polar Biology, v. 41, no. 4, p. 773-780, https://doi.org/10.1007/s00300-017-2238-5.","productDescription":"8 p.","startPage":"773","endPage":"780","ipdsId":"IP-086249","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":437972,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7CZ35ND","text":"USGS data release","linkHelpText":"Brown Bear Spring Energetics, Alaska, 2014-2017"},{"id":437971,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7MS3R0C","text":"USGS data release","linkHelpText":"Brown Bear Phenotypic Plasticity, Alaska, 2013-2016"},{"id":354262,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -158.6,\n              56.5\n            ],\n            [\n              -150,\n              56.5\n            ],\n            [\n              -150,\n              61.5\n            ],\n            [\n              -158.6,\n              61.5\n            ],\n            [\n              -158.6,\n              56.5\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -158,\n              66.5\n            ],\n            [\n              -150,\n              66.5\n            ],\n            [\n              -150,\n              68.5\n            ],\n            [\n              -158,\n              68.5\n            ],\n            [\n              -158,\n              66.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"41","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-04","publicationStatus":"PW","scienceBaseUri":"5afee6ebe4b0da30c1bfbf6d","contributors":{"authors":[{"text":"Hilderbrand, Grant V. 0000-0002-0051-8315 ghilderbrand@usgs.gov","orcid":"https://orcid.org/0000-0002-0051-8315","contributorId":199764,"corporation":false,"usgs":true,"family":"Hilderbrand","given":"Grant V.","email":"ghilderbrand@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":735587,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gustine, David","contributorId":200449,"corporation":false,"usgs":false,"family":"Gustine","given":"David","affiliations":[],"preferred":false,"id":735588,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mangipane, Buck A.","contributorId":200450,"corporation":false,"usgs":false,"family":"Mangipane","given":"Buck","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":735589,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Joly, Kyle","contributorId":53117,"corporation":false,"usgs":false,"family":"Joly","given":"Kyle","email":"","affiliations":[{"id":12462,"text":"U.S. Department of the Interior, National Park Service","active":true,"usgs":false}],"preferred":false,"id":735590,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Leacock, William","contributorId":192123,"corporation":false,"usgs":false,"family":"Leacock","given":"William","affiliations":[],"preferred":false,"id":735591,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mangipane, Lindsey","contributorId":201731,"corporation":false,"usgs":false,"family":"Mangipane","given":"Lindsey","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":735592,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Erlenbach, Joy","contributorId":200750,"corporation":false,"usgs":false,"family":"Erlenbach","given":"Joy","affiliations":[],"preferred":false,"id":735593,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sorum, Mathew","contributorId":204962,"corporation":false,"usgs":false,"family":"Sorum","given":"Mathew","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":735594,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cameron, Matthew","contributorId":204963,"corporation":false,"usgs":false,"family":"Cameron","given":"Matthew","email":"","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":735595,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Belant, Jerrold L.","contributorId":108394,"corporation":false,"usgs":false,"family":"Belant","given":"Jerrold","email":"","middleInitial":"L.","affiliations":[{"id":35599,"text":"Carnivore Ecology Laboratory, Mississippi State University, Mississippi State, MS","active":true,"usgs":false}],"preferred":false,"id":735596,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Cambier, Troy","contributorId":204964,"corporation":false,"usgs":false,"family":"Cambier","given":"Troy","email":"","affiliations":[{"id":37014,"text":"Chena River Aviation","active":true,"usgs":false}],"preferred":false,"id":735597,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70197082,"text":"70197082 - 2018 - Bat activity following restoration prescribed burning in the central Appalachian Upland and riparian habitats","interactions":[],"lastModifiedDate":"2018-05-16T12:47:32","indexId":"70197082","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2821,"text":"Natural Areas Journal","active":true,"publicationSubtype":{"id":10}},"title":"Bat activity following restoration prescribed burning in the central Appalachian Upland and riparian habitats","docAbstract":"<p><span>After decades of fire suppression in eastern North America, land managers now are prioritizing prescribed fire as a management tool to restore or maintain fire-adapted vegetation communities. However, in long—fire-suppressed landscapes, such as the central and southern Appalachians, it is unknown how bats will respond to prescribed fire in both riparian and upland forest habitats. To address these concerns, we conducted zero-crossing acoustic surveys of bat activity in burned, unburned, riparian, and non-riparian areas in the central Appalachians, Virginia, USA. Burn and riparian variables had model support (ΔAICc &lt; 4) to explain activity of all bat species. Nonetheless, parameter estimates for these conditions were small and confidence intervals overlapped zero for all species, indicating effect sizes were marginal. Our results suggest that bats respond to fire differently between upland and riparian forest habitats, but overall, large landscape-level prescribed fire has a slightly positive to neutral impact on all bats species identified at our study site post—fire application.</span></p>","language":"English","publisher":"Natural Areas Association","doi":"10.3375/043.038.0208","usgsCitation":"Austin, L.V., Silvis, A., Ford, W., Muthersbaugh, M., and Powers, K.E., 2018, Bat activity following restoration prescribed burning in the central Appalachian Upland and riparian habitats: Natural Areas Journal, v. 38, no. 2, p. 183-195, https://doi.org/10.3375/043.038.0208.","productDescription":"13 p.","startPage":"183","endPage":"195","ipdsId":"IP-090018","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468869,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zotero.org/groups/5435545/items/IJH3YNVT","text":"External Repository"},{"id":354216,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","county":"Bath County","otherGeospatial":"George Washington National Forest","volume":"38","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6ebe4b0da30c1bfbf6f","contributors":{"authors":[{"text":"Austin, Lauren V.","contributorId":204944,"corporation":false,"usgs":false,"family":"Austin","given":"Lauren","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":735519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Silvis, Alexander","contributorId":171585,"corporation":false,"usgs":false,"family":"Silvis","given":"Alexander","email":"","affiliations":[{"id":26923,"text":"Virginia Polytechnic Institute, Blacksburg, VA","active":true,"usgs":false}],"preferred":false,"id":735520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":735504,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muthersbaugh, Michael","contributorId":204945,"corporation":false,"usgs":false,"family":"Muthersbaugh","given":"Michael","affiliations":[],"preferred":false,"id":735521,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Powers, Karen E.","contributorId":171456,"corporation":false,"usgs":false,"family":"Powers","given":"Karen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":735522,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70196876,"text":"70196876 - 2018 - Increased scientific rigor will improve reliability of research and effectiveness of management","interactions":[],"lastModifiedDate":"2018-05-08T13:21:48","indexId":"70196876","displayToPublicDate":"2018-04-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Increased scientific rigor will improve reliability of research and effectiveness of management","docAbstract":"<p><span>Rigorous science that produces reliable knowledge is critical to wildlife management because it increases accurate understanding of the natural world and informs management decisions effectively. Application of a rigorous scientific method based on hypothesis testing minimizes unreliable knowledge produced by research. To evaluate the prevalence of scientific rigor in wildlife research, we examined 24 issues of the&nbsp;</span><i>Journal of Wildlife Management</i><span><span>&nbsp;</span>from August 2013 through July 2016. We found 43.9% of studies did not state or imply<span>&nbsp;</span></span><i>a priori</i><span><span>&nbsp;</span>hypotheses, which are necessary to produce reliable knowledge. We posit that this is due, at least in part, to a lack of common understanding of what rigorous science entails, how it produces more reliable knowledge than other forms of interpreting observations, and how research should be designed to maximize inferential strength and usefulness of application. Current primary literature does not provide succinct explanations of the logic behind a rigorous scientific method or readily applicable guidance for employing it, particularly in wildlife biology; we therefore synthesized an overview of the history, philosophy, and logic that define scientific rigor for biological studies. A rigorous scientific method includes 1) generating a research question from theory and prior observations, 2) developing hypotheses (i.e., plausible biological answers to the question), 3) formulating predictions (i.e., facts that must be true if the hypothesis is true), 4) designing and implementing research to collect data potentially consistent with predictions, 5) evaluating whether predictions are consistent with collected data, and 6) drawing inferences based on the evaluation. Explicitly testing<span>&nbsp;</span></span><i>a priori</i><span><span>&nbsp;</span>hypotheses reduces overall uncertainty by reducing the number of plausible biological explanations to only those that are logically well supported. Such research also draws inferences that are robust to idiosyncratic observations and unavoidable human biases. Offering only<span>&nbsp;</span></span><i>post hoc</i><span><span>&nbsp;</span>interpretations of statistical patterns (i.e.,<span>&nbsp;</span></span><i>a posteriori</i><span>hypotheses) adds to uncertainty because it increases the number of plausible biological explanations without determining which have the greatest support. Further,<span>&nbsp;</span></span><i>post hoc</i><span>interpretations are strongly subject to human biases. Testing hypotheses maximizes the credibility of research findings, makes the strongest contributions to theory and management, and improves reproducibility of research. Management decisions based on rigorous research are most likely to result in effective conservation of wildlife resources.<span>&nbsp;</span></span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21413","usgsCitation":"Sells, S.N., Bassing, S.B., Barker, K.J., Forshee, S.C., Keever, A., Goerz, J.W., and Mitchell, M.S., 2018, Increased scientific rigor will improve reliability of research and effectiveness of management: Journal of Wildlife Management, v. 82, no. 3, p. 485-494, https://doi.org/10.1002/jwmg.21413.","productDescription":"10 p.","startPage":"485","endPage":"494","ipdsId":"IP-091041","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":468873,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.21413","text":"Publisher Index Page"},{"id":354011,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-14","publicationStatus":"PW","scienceBaseUri":"5afee6ece4b0da30c1bfbf75","contributors":{"authors":[{"text":"Sells, Sarah N.","contributorId":171706,"corporation":false,"usgs":false,"family":"Sells","given":"Sarah","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":734896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bassing, Sarah B.","contributorId":198688,"corporation":false,"usgs":false,"family":"Bassing","given":"Sarah","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":734897,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barker, Kristin J.","contributorId":204755,"corporation":false,"usgs":false,"family":"Barker","given":"Kristin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":734898,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Forshee, Shannon C.","contributorId":204756,"corporation":false,"usgs":false,"family":"Forshee","given":"Shannon","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":734899,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keever, Allison","contributorId":187743,"corporation":false,"usgs":false,"family":"Keever","given":"Allison","email":"","affiliations":[],"preferred":false,"id":734900,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goerz, James W.","contributorId":204757,"corporation":false,"usgs":false,"family":"Goerz","given":"James","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":734901,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":734889,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
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