{"pageNumber":"1203","pageRowStart":"30050","pageSize":"25","recordCount":165296,"records":[{"id":70147071,"text":"70147071 - 2015 - Targeting climate diversity in conservation planning to build resilience to climate change","interactions":[],"lastModifiedDate":"2018-09-18T10:34:24","indexId":"70147071","displayToPublicDate":"2015-04-01T13:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Targeting climate diversity in conservation planning to build resilience to climate change","docAbstract":"<p>Climate change is raising challenging concerns for systematic conservation planning. Are methods based on the current spatial patterns of biodiversity effective given long-term climate change? Some conservation scientists argue that planning should focus on protecting the abiotic diversity in the landscape, which drives patterns of biological diversity, rather than focusing on the distribution of focal species, which shift in response to climate change. Climate is one important abiotic driver of biodiversity patterns, as different climates host different biological communities and genetic pools. We propose conservation networks that capture the full range of climatic diversity in a region will improve the resilience of biotic communities to climate change compared to networks that do not. In this study we used historical and future hydro-climate projections from the high resolution Basin Characterization Model to explore the utility of directly targeting climatic diversity in planning. Using the spatial planning tool, Marxan, we designed conservation networks to capture the diversity of climate types, at the regional and sub-regional scale, and compared them to networks we designed to capture the diversity of vegetation types. By focusing on the Conservation Lands Network (CLN) of the San Francisco Bay Area as a real-world case study, we compared the potential resilience of networks by examining two factors: the range of climate space captured, and climatic stability to 18 future climates, reflecting different emission scenarios and global climate models. We found that the climate-based network planned at the sub-regional scale captured a greater range of climate space and showed higher climatic stability than the vegetation and regional based-networks. At the same time, differences among network scenarios are small relative to the variance in climate stability across global climate models. Across different projected futures, topographically heterogeneous areas consistently show greater climate stability than homogenous areas. The analysis suggests that utilizing high-resolution climate and hydrological data in conservation planning improves the likely resilience of biodiversity to climate change. We used these analyses to suggest new conservation priorities for the San Francisco Bay Area.</p>","language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, D.C.","doi":"10.1890/ES14-00313.1","usgsCitation":"Heller, N.E., Kreitler, J.R., Ackerly, D., Weiss, S., Recinos, A., Branciforte, R., Flint, L.E., Flint, A.L., and Micheli, E., 2015, Targeting climate diversity in conservation planning to build resilience to climate change: Ecosphere, v. 6, no. 4, p. 1-20, https://doi.org/10.1890/ES14-00313.1.","productDescription":"20 p.","startPage":"1","endPage":"20","numberOfPages":"20","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058616","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":472162,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1890/es14-00313.1","text":"External Repository"},{"id":299894,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-24","publicationStatus":"PW","scienceBaseUri":"553f5dbbe4b0a658d7938cfc","contributors":{"authors":[{"text":"Heller, Nicole E.","contributorId":140429,"corporation":false,"usgs":false,"family":"Heller","given":"Nicole","email":"","middleInitial":"E.","affiliations":[{"id":13495,"text":"Dwight Center for Conservation Science at Pepperwood Preserve","active":true,"usgs":false}],"preferred":false,"id":545619,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kreitler, Jason R. 0000-0002-0243-5281 jkreitler@usgs.gov","orcid":"https://orcid.org/0000-0002-0243-5281","contributorId":4050,"corporation":false,"usgs":true,"family":"Kreitler","given":"Jason","email":"jkreitler@usgs.gov","middleInitial":"R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":545618,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerly, David","contributorId":139541,"corporation":false,"usgs":false,"family":"Ackerly","given":"David","affiliations":[{"id":7102,"text":"University of California, Berkeley, Dept. of Civil & Envir. Engineering","active":true,"usgs":false}],"preferred":false,"id":545620,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weiss, Stuart","contributorId":7590,"corporation":false,"usgs":true,"family":"Weiss","given":"Stuart","email":"","affiliations":[],"preferred":false,"id":545621,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Recinos, Amanda","contributorId":140430,"corporation":false,"usgs":false,"family":"Recinos","given":"Amanda","email":"","affiliations":[{"id":13496,"text":"GreenInfo Network","active":true,"usgs":false}],"preferred":false,"id":545622,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Branciforte, Ryan","contributorId":140431,"corporation":false,"usgs":false,"family":"Branciforte","given":"Ryan","email":"","affiliations":[{"id":13497,"text":"Bay Area Open Space Council","active":true,"usgs":false}],"preferred":false,"id":545623,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545624,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":545625,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Micheli, Elisabeth","contributorId":105615,"corporation":false,"usgs":true,"family":"Micheli","given":"Elisabeth","email":"","affiliations":[],"preferred":false,"id":545626,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70150336,"text":"70150336 - 2015 - Developing objectives with multiple stakeholders: adaptive management of horseshoe crabs and Red Knots in the Delaware Bay","interactions":[],"lastModifiedDate":"2015-06-29T11:59:51","indexId":"70150336","displayToPublicDate":"2015-04-01T13:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Developing objectives with multiple stakeholders: adaptive management of horseshoe crabs and Red Knots in the Delaware Bay","docAbstract":"<p>Structured decision making (SDM) is an increasingly utilized approach and set of tools for addressing complex decisions in environmental management. SDM is a value-focused thinking approach that places paramount importance on first establishing clear management objectives that reflect core values of stakeholders. To be useful for management, objectives must be transparently stated in unambiguous and measurable terms. We used these concepts to develop consensus objectives for the multiple stakeholders of horseshoe crab harvest in Delaware Bay. Participating stakeholders first agreed on a qualitative statement of fundamental objectives, and then worked to convert those objectives to specific and measurable quantities, so that management decisions could be assessed. We used a constraint-based approach where the conservation objectives for Red Knots, a species of migratory shorebird that relies on horseshoe crab eggs as a food resource during migration, constrained the utility of crab harvest. Developing utility functions to effectively reflect the management objectives allowed us to incorporate stakeholder risk aversion even though different stakeholder groups were averse to different or competing risks. While measurable objectives and quantitative utility functions seem scientific, developing these objectives was fundamentally driven by the values of the participating stakeholders.</p>","language":"English","publisher":"Springer-Verlag","publisherLocation":"New York, NY","doi":"10.1007/s00267-014-0422-8","usgsCitation":"McGowan, C., Lyons, J., and Smith, D., 2015, Developing objectives with multiple stakeholders: adaptive management of horseshoe crabs and Red Knots in the Delaware Bay: Environmental Management, v. 55, no. 4, p. 972-982, https://doi.org/10.1007/s00267-014-0422-8.","productDescription":"11 p.","startPage":"972","endPage":"982","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052744","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305434,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-24","publicationStatus":"PW","scienceBaseUri":"55926c95e4b0b6d21dd6775f","contributors":{"authors":[{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":3381,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor P.","email":"cmcgowan@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":556713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyons, James E.","contributorId":35461,"corporation":false,"usgs":true,"family":"Lyons","given":"James E.","affiliations":[],"preferred":false,"id":563937,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, David 0000-0001-6074-9257","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":1989,"corporation":false,"usgs":false,"family":"Smith","given":"David","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":563938,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70160762,"text":"70160762 - 2015 - Summer diel diet and feeding periodicity of four species of cyprinids in the Salmon River, New York","interactions":[],"lastModifiedDate":"2015-12-30T11:50:25","indexId":"70160762","displayToPublicDate":"2015-04-01T12:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":737,"text":"American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Summer diel diet and feeding periodicity of four species of cyprinids in the Salmon River, New York","docAbstract":"<p>The diel diet composition and feeding periodicity of<i> Luxilus cornutus</i> (common shiner),<i> Exoglossum maxillingua</i> (cutlip minnow), <i>Semotilus corporalis</i> (fallfish), and <i>Notropis hudsonius</i> (spottail shiner) were examined in the Salmon River, New York over a 24 h period during the summer. Chironomids were the major prey of common shiner (60.6%) and cutlip minnow (54.7%), whereas terrestrial invertebrates (30.0%) and amphipods (38.4%) were the primary food of fallfish and spottail shiner, respectively. Diet overlap was high between common shiner and cutlip minnow (Morisita's index  =  0.88) and moderate between fallfish and common shiner (0.54) and fallfish and cutlip minnow (0.50). Diel temperal variation in diet composition was greatest (0.64) for spottail shiner. Three species exhibited diel variation in food consumption. Fallfish had a distinct feeding peak, whereas peak food consumption of common shiner and cutlip minnow occurred over a more extended period. Spottail shiner did not have a distinct feeding peak but food consumption was highest from 2400 to 0800 h. Each of the four species exhibited some degree of variation in their diel feeding ecology in regards to either diet composition or food consumption.</p>","language":"English","publisher":"University of Notre Dam","publisherLocation":"Notre Dam, Indiana","doi":"10.1674/amid-173-02-326-334.1","usgsCitation":"Johnson, J.H., 2015, Summer diel diet and feeding periodicity of four species of cyprinids in the Salmon River, New York: American Midland Naturalist, v. 173, no. 2, p. 326-334, https://doi.org/10.1674/amid-173-02-326-334.1.","productDescription":"9 p.","startPage":"326","endPage":"334","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053580","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":313044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Salmon River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.20254516601562,\n              43.57864989058227\n            ],\n            [\n              -76.20735168457031,\n              43.565715431592736\n            ],\n            [\n              -76.19705200195311,\n              43.55949595288937\n            ],\n            [\n              -76.19087219238281,\n              43.56422281526122\n            ],\n            [\n              -76.14898681640625,\n              43.56745677056953\n            ],\n            [\n              -76.10366821289061,\n              43.54605968763826\n            ],\n            [\n              -76.06727600097656,\n              43.53286932923337\n            ],\n            [\n              -76.0525131225586,\n              43.5336160303396\n            ],\n            [\n              -75.99964141845703,\n              43.50672896600787\n            ],\n            [\n              -75.9708023071289,\n              43.51992504107969\n            ],\n            [\n              -75.95500946044922,\n              43.51992504107969\n            ],\n            [\n              -75.92891693115234,\n              43.54182913230868\n            ],\n            [\n              -75.89767456054688,\n              43.526148603236294\n            ],\n            [\n              -75.83141326904297,\n              43.51469675271006\n            ],\n            [\n              -75.79914093017578,\n              43.52365925541725\n            ],\n            [\n              -75.74386596679688,\n              43.49801299489068\n            ],\n            [\n              -75.73356628417969,\n              43.49925821066224\n            ],\n            [\n              -75.69889068603516,\n              43.481822852999905\n            ],\n            [\n              -75.6796646118164,\n              43.48780125691884\n            ],\n            [\n              -75.66730499267577,\n              43.482321075924304\n            ],\n            [\n              -75.64224243164062,\n              43.485061228565755\n            ],\n            [\n              -75.60688018798828,\n              43.454912713790264\n            ],\n            [\n              -75.59555053710938,\n              43.45914936352795\n            ],\n            [\n              -75.63434600830078,\n              43.49029208393125\n            ],\n            [\n              -75.66558837890625,\n              43.49103931200484\n            ],\n            [\n              -75.6793212890625,\n              43.494277193496124\n            ],\n            [\n              -75.69786071777344,\n              43.49178653083377\n            ],\n            [\n              -75.73493957519531,\n              43.5092190123469\n            ],\n            [\n              -75.74180603027344,\n              43.50423881694708\n            ],\n            [\n              -75.77133178710938,\n              43.519427128371525\n            ],\n            [\n              -75.77716827392578,\n              43.52689538755057\n            ],\n            [\n              -75.80635070800781,\n              43.53958930635379\n            ],\n            [\n              -75.8218002319336,\n              43.533864928653806\n            ],\n            [\n              -75.89801788330078,\n              43.558003182460084\n            ],\n            [\n              -75.93681335449219,\n              43.557007981627656\n            ],\n            [\n              -75.93029022216797,\n              43.54904578324027\n            ],\n            [\n              -75.94985961914062,\n              43.550289946081115\n            ],\n            [\n              -75.95294952392578,\n              43.54605968763826\n            ],\n            [\n              -75.94539642333984,\n              43.54182913230868\n            ],\n            [\n              -75.9975814819336,\n              43.51619059561272\n            ],\n            [\n              -76.00410461425781,\n              43.52565074189047\n            ],\n            [\n              -76.0195541381836,\n              43.52764216261958\n            ],\n            [\n              -76.02264404296875,\n              43.53311823062938\n            ],\n            [\n              -76.03569030761719,\n              43.53486051163794\n            ],\n            [\n              -76.04564666748047,\n              43.54357116163468\n            ],\n            [\n              -76.06693267822266,\n              43.54008705264584\n            ],\n            [\n              -76.07654571533203,\n              43.549543451458504\n            ],\n            [\n              -76.09302520751953,\n              43.55352464927332\n            ],\n            [\n              -76.09886169433594,\n              43.55178290758928\n            ],\n            [\n              -76.10023498535156,\n              43.562978940066884\n            ],\n            [\n              -76.14692687988281,\n              43.575416536265315\n            ],\n            [\n              -76.19327545166016,\n              43.57268048546472\n            ],\n            [\n              -76.20254516601562,\n              43.57864989058227\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"173","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56850efae4b0a04ef4933b26","contributors":{"authors":[{"text":"Johnson, James H. 0000-0002-5619-3871 jhjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5619-3871","contributorId":389,"corporation":false,"usgs":true,"family":"Johnson","given":"James","email":"jhjohnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583809,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70145179,"text":"70145179 - 2015 - Soil respiration patterns and controls in limestone cedar glades","interactions":[],"lastModifiedDate":"2015-04-06T11:35:12","indexId":"70145179","displayToPublicDate":"2015-04-01T12:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3089,"text":"Plant and Soil","active":true,"publicationSubtype":{"id":10}},"title":"Soil respiration patterns and controls in limestone cedar glades","docAbstract":"<p>Aims</p>\n<p>Drivers of soil respiration (<i>R<sub>s</sub></i>) in rock outcrop ecosystems remain poorly understood. We investigated these drivers in limestone cedar glades, known for their concentrations of endemic plant species and for seasonal hydrologic extremes (xeric and saturated conditions), and compared our findings to those in temperate grasslands and semi-arid ecosystems.</p>\n<p>Methods</p>\n<p>We measured <i>R<sub>s</sub></i>, soil temperature (<i>T<sub>s</sub></i>), volumetric soil water content (SWC), soil organic matter (SOM), soil depth, and vegetation cover monthly over 16 mo and analyzed effects of these variables on <i>R<sub>s</sub></i>.</p>\n<p>Results</p>\n<p>Seasonally, <i>R<sub>s</sub></i> primarily tracked <i>T<sub>s</sub></i>(r<sup>2</sup>=0.77; <i>P</i> &lt; 0.01); however <i>R<sub>s</sub></i> was depressed during a summer drought. SOM was highly variable spatially, and incorporating SOM effects into the <i>R<sub>s</sub></i> model dramativally improved model performance. Both shallow soil and sparse vegetation cover were also associated with lower <i>R<sub>s</sub></i>.</p>\n<p>Conclusions</p>\n<p>Soil depth, SOM, and vegetation cover were important drivers of <i>R<sub>s</sub></i> in limestone cedar glades. Seasonal <i>R<sub>s</sub></i> patterns reflected those for mesic temperate grasslands more than for semi-arid ecosystems, in that <i>R<sub>s</sub></i> primarily tracked temperature for most of the year.</p>","language":"English","publisher":"Kluwer Academic Publishers","publisherLocation":"Dordrecht","doi":"10.1007/s11104-014-2348-6","collaboration":"National Park Service (Stones River National Battlefield), Tennessee State University","usgsCitation":"Cartwright, J.M., and Hui, D., 2015, Soil respiration patterns and controls in limestone cedar glades: Plant and Soil, v. 389, no. 1-2, p. 157-169, https://doi.org/10.1007/s11104-014-2348-6.","productDescription":"13","startPage":"157","endPage":"169","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055589","costCenters":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"links":[{"id":472163,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11104-014-2348-6","text":"Publisher Index Page"},{"id":299380,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"389","issue":"1-2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-07","publicationStatus":"PW","scienceBaseUri":"5523ae44e4b027f0aee3d14e","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":581,"text":"Tennessee Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":544024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hui, Dafeng","contributorId":140059,"corporation":false,"usgs":false,"family":"Hui","given":"Dafeng","email":"","affiliations":[{"id":13370,"text":"Tennessee State University","active":true,"usgs":false}],"preferred":false,"id":544025,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70157067,"text":"70157067 - 2015 - Terrestrial ecology of semi-aquatic giant gartersnakes (<i>Thamnophis gigas</i>)","interactions":[],"lastModifiedDate":"2015-09-09T11:30:14","indexId":"70157067","displayToPublicDate":"2015-04-01T12:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"title":"Terrestrial ecology of semi-aquatic giant gartersnakes (<i>Thamnophis gigas</i>)","docAbstract":"<p>Wetlands are a vital component of habitat for semiaquatic herpetofauna, but for most species adjacent terrestrial habitats are also essential. We examined the use of terrestrial environments by Giant Gartersnakes (Thamnophis gigas) to provide behavioral information relevant to conservation of this state and federally listed threatened species. We used radio telemetry data collected 1995&ndash;2011 from adults at several sites throughout the Sacramento Valley, California, USA, to examine Giant Gartersnake use of the terrestrial environment. We found Giant Gartersnakes in terrestrial environments more than half the time during the summer, with the use of terrestrial habitats increasing to nearly 100% during brumation. While in terrestrial habitats, we found Giant Gartersnakes underground more than half the time in the early afternoon during summer, and the probability of being underground increased to nearly 100% of the time at all hours during brumation. Extreme temperatures also increased the probability that we would find Giant Gartersnakes underground. Under most conditions, we found Giant Gartersnakes to be within 10 m of water at 95% of observations. For females during brumation and individuals that we found underground, however, the average individual had a 10% probability of being located &gt; 20 m from water. Individual variation in each of the response variables was extensive; therefore, predicting the behavior of an individual was fraught with uncertainty. Nonetheless, our estimates provide resource managers with valuable information about the importance of protecting and carefully managing terrestrial habitats for conserving a rare semiaquatic snake.</p>","language":"English","publisher":"Partners in Amphibian and Reptile Conservation","publisherLocation":"Texarkana, TX","usgsCitation":"Halstead, B., Skalos, S.M., Wylie, G.D., and Casazza, M.L., 2015, Terrestrial ecology of semi-aquatic giant gartersnakes (<i>Thamnophis gigas</i>): Herpetological Conservation and Biology, v. 10, no. 2, p. 633-644.","productDescription":"12 p.","startPage":"633","endPage":"644","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065175","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":308010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307932,"type":{"id":11,"text":"Document"},"url":"https://www.herpconbio.org/Volume_10/Issue_2/Halstead_etal_2015.pdf"}],"volume":"10","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55f15834e4b0dacf699eb985","contributors":{"authors":[{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":571467,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Skalos, Shannon M. sskalos@usgs.gov","contributorId":147372,"corporation":false,"usgs":true,"family":"Skalos","given":"Shannon","email":"sskalos@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":571468,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wylie, Glenn D. 0000-0002-7061-6658 glenn_wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7061-6658","contributorId":3052,"corporation":false,"usgs":true,"family":"Wylie","given":"Glenn","email":"glenn_wylie@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":571469,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":571470,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70143983,"text":"ofr20151056 - 2015 - Hydrologic conditions in Massachusetts during water year 2014","interactions":[],"lastModifiedDate":"2015-04-01T10:01:52","indexId":"ofr20151056","displayToPublicDate":"2015-04-01T12:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1056","title":"Hydrologic conditions in Massachusetts during water year 2014","docAbstract":"<p><span>Hydrologic data and conditions throughout Massachusetts during water year 2014 (October 1, 2013, to September 30, 2014) are presented in this report. Stream discharge and groundwater levels during water year 2014 varied geographically across the State. The data are described as being above, below, or near normal in relation to long-term averages for the period of record.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151056","usgsCitation":"Verdi, R.J., 2015, Hydrologic conditions in Massachusetts during water year 2014: U.S. Geological Survey Open-File Report 2015-1056, iii, 9 p., https://doi.org/10.3133/ofr20151056.","productDescription":"iii, 9 p.","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2013-10-01","temporalEnd":"2014-09-30","ipdsId":"IP-063076","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"links":[{"id":299138,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151056.jpg"},{"id":299135,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1056/"},{"id":299136,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1056/pdf/ofr2015-1056.pdf","text":"Report","size":"736 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Massachusetts","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.2733154296875,\n              42.74701217318067\n            ],\n            [\n              -73.50677490234375,\n              42.087012670088214\n            ],\n            [\n              -73.49853515625,\n              42.049292638686836\n            ],\n            [\n              -72.81463623046875,\n              42.03603433407788\n            ],\n            [\n              -72.8173828125,\n              41.99828401778616\n            ],\n            [\n              -72.76657104492188,\n              42.0064481470799\n            ],\n            [\n              -72.75009155273438,\n              42.037054301883806\n            ],\n            [\n              -72.61001586914062,\n              42.03195429915656\n            ],\n            [\n              -72.60726928710938,\n              42.02481360781777\n            ],\n            [\n              -72.57568359375,\n              42.02685388718981\n            ],\n            [\n              -72.53036499023438,\n              42.03603433407788\n            ],\n            [\n              -71.79977416992188,\n              42.02379344357796\n            ],\n            [\n              -71.79977416992188,\n              42.00848901572399\n            ],\n            [\n              -71.38092041015625,\n              42.01767211439039\n            ],\n            [\n              -71.3836669921875,\n              41.89307729913167\n            ],\n            [\n              -71.33697509765625,\n              41.898188430430444\n            ],\n            [\n              -71.34658813476562,\n              41.81943165932007\n            ],\n            [\n              -71.3287353515625,\n              41.781552998900345\n            ],\n            [\n              -71.26007080078125,\n              41.75287318430239\n            ],\n            [\n              -71.19827270507812,\n              41.67496335351134\n            ],\n            [\n              -71.13372802734375,\n              41.66060124302088\n            ],\n            [\n              -71.12548828125,\n              41.498292501398545\n            ],\n            [\n              -70.784912109375,\n              41.290189955885644\n            ],\n            [\n              -69.95956420898438,\n              41.20138969929042\n            ],\n            [\n              -69.89227294921875,\n              41.775408403663285\n            ],\n            [\n              -70.00213623046875,\n              42.0615286181226\n            ],\n            [\n              -70.16693115234375,\n              42.108411365705855\n            ],\n            [\n              -70.6256103515625,\n              42.10229818948117\n            ],\n            [\n              -70.70594787597656,\n              42.21071942977117\n            ],\n            [\n              -70.76019287109375,\n              42.26054098165532\n            ],\n            [\n              -70.86456298828124,\n              42.34585783931204\n            ],\n            [\n              -70.86868286132812,\n              42.46247316292525\n            ],\n            [\n              -70.6475830078125,\n              42.57533232110996\n            ],\n            [\n              -70.56381225585938,\n              42.62991729384455\n            ],\n            [\n              -70.56243896484375,\n              42.66527089792358\n            ],\n            [\n              -70.61737060546875,\n              42.70464124398721\n            ],\n            [\n              -70.6585693359375,\n              42.69959515809203\n            ],\n            [\n              -70.697021484375,\n              42.67031977251906\n            ],\n            [\n              -70.76156616210938,\n              42.696567309696974\n            ],\n            [\n              -70.7958984375,\n              42.789354160502775\n            ],\n            [\n              -70.806884765625,\n              42.87495770751784\n            ],\n            [\n              -70.84808349609375,\n              42.86338298693097\n            ],\n            [\n              -70.88241577148438,\n              42.88149898076182\n            ],\n            [\n              -70.90507507324219,\n              42.88803956056295\n            ],\n            [\n              -70.93391418457031,\n              42.88602714832883\n            ],\n            [\n              -70.96549987792969,\n              42.870931963933735\n            ],\n            [\n              -71.03416442871094,\n              42.85985981506279\n            ],\n            [\n              -71.04995727539062,\n              42.848785680348875\n            ],\n            [\n              -71.06575012207031,\n              42.80799561516835\n            ],\n            [\n              -71.13235473632812,\n              42.82209892875648\n            ],\n            [\n              -71.16737365722656,\n              42.81051429991593\n            ],\n            [\n              -71.18728637695312,\n              42.79187360418141\n            ],\n            [\n              -71.18247985839844,\n              42.73843944000847\n            ],\n            [\n              -71.22505187988281,\n              42.74751641468717\n            ],\n            [\n              -71.2470245361328,\n              42.744995166137286\n            ],\n            [\n              -71.29440307617188,\n              42.69858589169842\n            ],\n            [\n              -73.2733154296875,\n              42.74701217318067\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551a65aee4b032384278342a","contributors":{"authors":[{"text":"Verdi, Richard J. 0000-0002-7093-9203 rverdi@usgs.gov","orcid":"https://orcid.org/0000-0002-7093-9203","contributorId":1098,"corporation":false,"usgs":true,"family":"Verdi","given":"Richard","email":"rverdi@usgs.gov","middleInitial":"J.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":543218,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70144126,"text":"ofr20151052 - 2015 - Evaluation of the Ott Hydromet Qliner for measuring discharge in laboratory and field conditions","interactions":[],"lastModifiedDate":"2015-04-01T11:55:09","indexId":"ofr20151052","displayToPublicDate":"2015-04-01T11:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1052","title":"Evaluation of the Ott Hydromet Qliner for measuring discharge in laboratory and field conditions","docAbstract":"<p><span>The U.S. Geological Survey, in collaboration with the University of Iowa IIHR &ndash; Hydroscience and Engineering, evaluated the use of the Ott Hydromet Qliner using laboratory flume tests along with field validation tests. Analysis of the flume testing indicates the velocities measured by the Qliner at a 40-second exposure time results in higher dispersion of velocities from the mean velocity of data collected with a 5-minute exposure time. The percent data spread from the mean of a 100-minute mean of Qliner velocities for a 40-second exposure time averaged 16.6 percent for the entire vertical, and a 5-minute mean produced a 6.2 percent data spread from the 100-minute mean. This 16.6 percent variation in measured velocity would result in a 3.32 percent variation in computed discharge assuming 25 verticals while averaging 4 bins in each vertical. The flume testing also provided results that indicate the blanking distance of 0.20 meters is acceptable when using beams 1 and 2, however beam 3 is negatively biased near the transducer and the 0.20-meter blanking distance is not sufficient. Field testing included comparing the measured discharge by the Qliner to the discharge measured by a Price AA mechanical current meter and a Teledyne RDI Rio Grande 1200 kilohertz acoustic Doppler current profiler. The field tests indicated a difference between the discharges measured with the Qliner and the field reference discharge between -14.0 and 8.0 percent; however the average percent difference for all 22 field comparisons was 0.22, which was not statistically significant.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151052","collaboration":"Prepared in cooperation with the University of Iowa IIHR – Hydroscience and Engineering","usgsCitation":"McVay, J.C., 2015, Evaluation of the Ott Hydromet Qliner for measuring discharge in laboratory and field conditions: U.S. Geological Survey Open-File Report 2015-1052, v, 13 p., https://doi.org/10.3133/ofr20151052.","productDescription":"v, 13 p.","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-061080","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":299250,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151052.jpg"},{"id":299248,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1052/"},{"id":299249,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1052/pdf/ofr2015-1052.pdf","text":"Report","size":"2.55 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"projection":"Universal Transverse Mercator, Zone 15","datum":"North American Datum of 1983","country":"United States","state":"Iowa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.141357421875,\n              41.97582726102573\n            ],\n            [\n              -94.6142578125,\n              42.87596410238254\n            ],\n            [\n              -93.22998046875,\n              42.89206418807337\n            ],\n            [\n              -90.90087890624999,\n              42.187829010590825\n            ],\n            [\n              -91.417236328125,\n              40.9218144123785\n            ],\n            [\n              -92.39501953125,\n              40.94671366508002\n            ],\n            [\n              -96.075439453125,\n              41.795888098191426\n            ],\n            [\n              -96.141357421875,\n              41.97582726102573\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551d089be4b0256c24f4214e","contributors":{"authors":[{"text":"McVay, Jason C. jcmcvay@usgs.gov","contributorId":139902,"corporation":false,"usgs":true,"family":"McVay","given":"Jason","email":"jcmcvay@usgs.gov","middleInitial":"C.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":false,"id":543397,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70148418,"text":"70148418 - 2015 - Radar attenuation and temperature within the Greenland Ice Sheet","interactions":[],"lastModifiedDate":"2015-06-03T10:47:45","indexId":"70148418","displayToPublicDate":"2015-04-01T11:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Radar attenuation and temperature within the Greenland Ice Sheet","docAbstract":"<p>The flow of ice is temperature-dependent, but direct measurements of englacial temperature are sparse. The dielectric attenuation of radio waves through ice is also temperature-dependent, and radar sounding of ice sheets is sensitive to this attenuation. Here we estimate depth-averaged radar-attenuation rates within the Greenland Ice Sheet from airborne radar-sounding data and its associated radiostratigraphy. Using existing empirical relationships between temperature, chemistry, and radar attenuation, we then infer the depth-averaged englacial temperature. The dated radiostratigraphy permits a correction for the confounding effect of spatially varying ice chemistry. Where radar transects intersect boreholes, radar-inferred temperature is consistently higher than that measured directly. We attribute this discrepancy to the poorly recognized frequency dependence of the radar-attenuation rate and correct for this effect empirically, resulting in a robust relationship between radar-inferred and borehole-measured depth-averaged temperature. Radar-inferred englacial temperature is often lower than modern surface temperature and that of a steady state ice-sheet model, particularly in southern Greenland. This pattern suggests that past changes in surface boundary conditions (temperature and accumulation rate) affect the ice sheet's present temperature structure over a much larger area than previously recognized. This radar-inferred temperature structure provides a new constraint for thermomechanical models of the Greenland Ice Sheet.</p>","language":"English","publisher":"American Geophysical Union","publisherLocation":"Richmond, VA","doi":"10.1002/2014JF003418","usgsCitation":"MacGregor, J.A., Li, J., Paden, J.D., Catania, G.A., Clow, G.D., Fahnestock, M.A., Gogineni, P.S., Grimm, R.E., Morlighem, M., Nandi, S., Seroussi, H., and Stillman, D.E., 2015, Radar attenuation and temperature within the Greenland Ice Sheet: Journal of Geophysical Research F: Earth Surface, v. 120, no. 4, p. 1-26, https://doi.org/10.1002/2014JF003418.","productDescription":"26 p.","startPage":"1","endPage":"26","numberOfPages":"26","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063363","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":472164,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/17r372tq","text":"External Repository"},{"id":301014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"120","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5570253ee4b0d9246a9fd1ad","contributors":{"authors":[{"text":"MacGregor, Joseph A","contributorId":141044,"corporation":false,"usgs":false,"family":"MacGregor","given":"Joseph","email":"","middleInitial":"A","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":548093,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, Jilu","contributorId":141045,"corporation":false,"usgs":false,"family":"Li","given":"Jilu","email":"","affiliations":[{"id":13661,"text":"Center for Remote Sensing of Ice Sheets, University of Kansas","active":true,"usgs":false}],"preferred":false,"id":548094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paden, John D","contributorId":141046,"corporation":false,"usgs":false,"family":"Paden","given":"John","email":"","middleInitial":"D","affiliations":[{"id":13661,"text":"Center for Remote Sensing of Ice Sheets, University of Kansas","active":true,"usgs":false}],"preferred":false,"id":548095,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Catania, Ginny A","contributorId":141047,"corporation":false,"usgs":false,"family":"Catania","given":"Ginny","email":"","middleInitial":"A","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":548096,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clow, Gary D. 0000-0002-2262-3853 clow@usgs.gov","orcid":"https://orcid.org/0000-0002-2262-3853","contributorId":2066,"corporation":false,"usgs":true,"family":"Clow","given":"Gary","email":"clow@usgs.gov","middleInitial":"D.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":548092,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fahnestock, Mark A","contributorId":141048,"corporation":false,"usgs":false,"family":"Fahnestock","given":"Mark","email":"","middleInitial":"A","affiliations":[{"id":13662,"text":"Geophysical Institute, University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":548097,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gogineni, Prasad S.","contributorId":141049,"corporation":false,"usgs":false,"family":"Gogineni","given":"Prasad","email":"","middleInitial":"S.","affiliations":[{"id":13661,"text":"Center for Remote Sensing of Ice Sheets, University of Kansas","active":true,"usgs":false}],"preferred":false,"id":548098,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Grimm, Robert E.","contributorId":141054,"corporation":false,"usgs":false,"family":"Grimm","given":"Robert","email":"","middleInitial":"E.","affiliations":[{"id":13664,"text":"Southwest Research Institute, Boulder CO","active":true,"usgs":false}],"preferred":false,"id":548103,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Morlighem, Mathieu","contributorId":141050,"corporation":false,"usgs":false,"family":"Morlighem","given":"Mathieu","email":"","affiliations":[{"id":6976,"text":"University of California, Irvine","active":true,"usgs":false}],"preferred":false,"id":548099,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nandi, Soumyaroop","contributorId":141051,"corporation":false,"usgs":false,"family":"Nandi","given":"Soumyaroop","email":"","affiliations":[{"id":13663,"text":"Center for Remote Sensing or Ice Sheets, University of Kansas","active":true,"usgs":false}],"preferred":false,"id":548100,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Seroussi, Helene","contributorId":141052,"corporation":false,"usgs":false,"family":"Seroussi","given":"Helene","email":"","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":548101,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Stillman, David E","contributorId":141053,"corporation":false,"usgs":false,"family":"Stillman","given":"David","email":"","middleInitial":"E","affiliations":[{"id":13664,"text":"Southwest Research Institute, Boulder CO","active":true,"usgs":false}],"preferred":false,"id":548102,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70146516,"text":"70146516 - 2015 - Geologic control on the evolution of the inner shelf morphology offshore of the Mississippi barrier islands, northern Gulf of Mexico, USA","interactions":[],"lastModifiedDate":"2015-04-22T15:27:54","indexId":"70146516","displayToPublicDate":"2015-04-01T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1333,"text":"Continental Shelf Research","active":true,"publicationSubtype":{"id":10}},"title":"Geologic control on the evolution of the inner shelf morphology offshore of the Mississippi barrier islands, northern Gulf of Mexico, USA","docAbstract":"<p>Between 2008 and 2013, high-resolution geophysical surveys were conducted around the Mississippi barrier islands and offshore. The sonar surveys included swath and single-beam bathymetry, sidescan, and chirp subbottom data collection. The geophysical data were groundtruthed using vibracore sediment collection. The results provide insight into the evolution of the inner shelf and the relationship between the near surface geologic framework and the morphology of the coastal zone. This study focuses on the buried Pleistocene fluvial deposits and late Holocene shore-oblique sand ridges offshore of Petit Bois Island and Petit Bois Pass. Prior to this study, the physical characteristics, evolution, and interrelationship of the ridges between both the shelf geology and the adjacent barrier island platform had not been evaluated. Numerous studies elsewhere along the coastal margin attribute shoal origin and sand-ridge evolution to hydrodynamic processes in shallow water (&lt;20 m). Here we characterize the correlation between the geologic framework and surface morphology and demonstrate that the underlying stratigraphy must also be considered when developing an evolutionary conceptual model. It is important to understand this near surface, nearshore dynamic in order to understand how the stratigraphy influences the long-term response of the coastal zone to sea-level rise. The study also contributes to a growing body of work characterizing shore-oblique sand ridges which, along with the related geology, are recognized as increasingly important components to a nearshore framework whose origins and evolution must be understood and inventoried to effectively manage the coastal zone.</p>","language":"English","publisher":"North Pacific Marine Science Organization","publisherLocation":"New York, NY","doi":"10.1016/j.csr.2015.04.008","collaboration":"U.S. Geological Survey Northern GOM Hazards and Susceptibility Project, and the U.S. Army Corps of Engineers (USACE) Mississippi Coastal Improvement Project","usgsCitation":"Flocks, J.G., Kindinger, J.L., and Kelso, K.W., 2015, Geologic control on the evolution of the inner shelf morphology offshore of the Mississippi barrier islands, northern Gulf of Mexico, USA: Continental Shelf Research, v. 101, p. 59-70, https://doi.org/10.1016/j.csr.2015.04.008.","productDescription":"12 p.","startPage":"59","endPage":"70","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061522","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":299777,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":299700,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/S0278434315000898"}],"volume":"101","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5536233be4b0b22a15807a98","contributors":{"authors":[{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":544990,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kindinger, Jack L. jkindinger@usgs.gov","contributorId":815,"corporation":false,"usgs":true,"family":"Kindinger","given":"Jack","email":"jkindinger@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":544991,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelso, Kyle W. 0000-0003-0615-242X kkelso@usgs.gov","orcid":"https://orcid.org/0000-0003-0615-242X","contributorId":4307,"corporation":false,"usgs":true,"family":"Kelso","given":"Kyle","email":"kkelso@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":544992,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70150450,"text":"70150450 - 2015 - Associations between water physicochemistry and <i>Prymnesium parvum</i> presence, abundance, and toxicity in west Texas reservoirs","interactions":[],"lastModifiedDate":"2015-06-26T10:29:45","indexId":"70150450","displayToPublicDate":"2015-04-01T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Associations between water physicochemistry and <i>Prymnesium parvum</i> presence, abundance, and toxicity in west Texas reservoirs","docAbstract":"<p>Toxic blooms of golden alga (<i>Prymnesium parvum</i>) have caused substantial ecological and economic harm in freshwater and marine systems throughout the world. In North America, toxic blooms have impacted freshwater systems including large reservoirs. Management of water chemistry is one proposed option for golden alga control in these systems. The main objective of this study was to assess physicochemical characteristics of water that influence golden alga presence, abundance, and toxicity in the Upper Colorado River basin (UCR) in Texas. The UCR contains reservoirs that have experienced repeated blooms and other reservoirs where golden alga is present but has not been toxic. We quantified golden alga abundance (hemocytometer counts), ichthyotoxicity (bioassay), and water chemistry (surface grab samples) at three impacted reservoirs on the Colorado River; two reference reservoirs on the Concho River; and three sites at the confluence of these rivers. Sampling occurred monthly from January 2010 to July 2011. Impacted sites were characterized by higher specific conductance, calcium and magnesium hardness, and fluoride than reference and confluence sites. At impacted sites, golden alga abundance and toxicity were positively associated with salinity-related variables and blooms peaked at ~10&deg;C and generally did not occur above 20&deg;C. Overall, these findings suggest management of land and water use to reduce hardness or salinity could produce unfavorable conditions for golden alga.</p>","language":"English","publisher":"American Water Resources Association","publisherLocation":"Herndon, VA","doi":"10.1111/jawr.12262","usgsCitation":"VanLandeghem, M., Farooqi, M., Southard, G.M., and Patino, R., 2015, Associations between water physicochemistry and <i>Prymnesium parvum</i> presence, abundance, and toxicity in west Texas reservoirs: Journal of the American Water Resources Association, v. 51, no. 2, p. 471-486, https://doi.org/10.1111/jawr.12262.","productDescription":"16 p.","startPage":"471","endPage":"486","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051548","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":302371,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-11","publicationStatus":"PW","scienceBaseUri":"558e77aee4b0b6d21dd6593d","contributors":{"authors":[{"text":"VanLandeghem, Matthew M.","contributorId":143728,"corporation":false,"usgs":false,"family":"VanLandeghem","given":"Matthew M.","affiliations":[],"preferred":false,"id":556947,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farooqi, Mukhtar","contributorId":143729,"corporation":false,"usgs":false,"family":"Farooqi","given":"Mukhtar","email":"","affiliations":[],"preferred":false,"id":556948,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Southard, Greg M.","contributorId":143730,"corporation":false,"usgs":false,"family":"Southard","given":"Greg","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":556949,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":556899,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70150451,"text":"70150451 - 2015 - Spatiotemporal associations of reservoir nutrient characteristics and the invasive, harmful alga <i>Prymnesium parvum</i> in West Texas","interactions":[],"lastModifiedDate":"2015-06-26T10:00:48","indexId":"70150451","displayToPublicDate":"2015-04-01T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal associations of reservoir nutrient characteristics and the invasive, harmful alga <i>Prymnesium parvum</i> in West Texas","docAbstract":"<p>Golden alga (<i>Prymnesium parvum</i>) is a harmful alga that has caused ecological and economic harm in freshwater and marine systems worldwide. In inland systems of North America, toxic blooms have nearly eliminated fish populations in some systems. Modifying nutrient profiles through alterations to land or water use may be a viable alternative for golden alga control in reservoirs. The main objective of this study was to improve our understanding of the nutrient dynamics that influence golden alga bloom formation and toxicity in west Texas reservoirs. We examined eight sites in the Upper Colorado River basin, Texas: three impacted reservoirs that have experienced repeated golden alga blooms; two reference reservoirs where golden alga is present but nontoxic; and three confluence sites downstream of the impacted and reference sites. Total, inorganic, and organic nitrogen and phosphorus and their ratios were quantified monthly along with golden alga abundance and ichthyotoxicity between December 2010 and July 2011. Blooms persisted for several months at the impacted sites, which were characterized by high organic nitrogen and low inorganic nitrogen. At impacted sites, abundance was positively associated with inorganic phosphorus and bloom termination coincided with increases in inorganic nitrogen and decreases in inorganic phosphorus in late spring. Management of both inorganic and organic forms of nutrients may create conditions in reservoirs unfavorable to golden alga.</p>","language":"English","publisher":"American Water Resources Association","publisherLocation":"Herndon, VA","doi":"10.1111/jawr.12261","usgsCitation":"VanLandeghem, M., Farooqi, M., Southard, G.M., and Patino, R., 2015, Spatiotemporal associations of reservoir nutrient characteristics and the invasive, harmful alga <i>Prymnesium parvum</i> in West Texas: Journal of the American Water Resources Association, v. 51, no. 2, p. 487-501, https://doi.org/10.1111/jawr.12261.","productDescription":"15 p.","startPage":"487","endPage":"501","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051549","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":302363,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-11","publicationStatus":"PW","scienceBaseUri":"558e77bae4b0b6d21dd65970","contributors":{"authors":[{"text":"VanLandeghem, Matthew M.","contributorId":143728,"corporation":false,"usgs":false,"family":"VanLandeghem","given":"Matthew M.","affiliations":[],"preferred":false,"id":556944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farooqi, Mukhtar","contributorId":143729,"corporation":false,"usgs":false,"family":"Farooqi","given":"Mukhtar","email":"","affiliations":[],"preferred":false,"id":556945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Southard, Greg M.","contributorId":143730,"corporation":false,"usgs":false,"family":"Southard","given":"Greg","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":556946,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":556900,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70148569,"text":"70148569 - 2015 - Episodic Holocene eruption of the Salton Buttes rhyolites, California, from paleomagnetic, U-Th, and Ar/Ar dating","interactions":[],"lastModifiedDate":"2015-06-15T09:56:48","indexId":"70148569","displayToPublicDate":"2015-04-01T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Episodic Holocene eruption of the Salton Buttes rhyolites, California, from paleomagnetic, U-Th, and Ar/Ar dating","docAbstract":"<p>In the Salton Trough, CA, five rhyolite domes form the Salton Buttes: Mullet Island, Obsidian Butte, Rock Hill, North and South Red Hill, from oldest to youngest. Results presented here include&nbsp;<sup>40</sup>Ar/<sup>39</sup>Ar anorthoclase ages, <sup>238</sup>U-<sup>230</sup>Th zircon crystallization ages, and comparison of remanent paleomagnetic directions with the secular variation curve, which indicate that all domes are Holocene. <sup>238</sup>U-<sup>230</sup>Th zircon crystallization ages are more precise than but within uncertainty of <sup>40</sup>Ar/<sup>39</sup>Ar<span> anorthoclase ages, suggesting that zircon crystallization proceeded until shortly before eruption in all cases except one. Remanent paleomagnetic directions require three eruption periods: (1) Mullet Island, (2) Obsidian Butte, and (3) Rock Hill, North Red Hill, and South Red Hill. Borehole cuttings logs document up to two shallow tephra layers. North and South Red Hills likely erupted within 100 years of each other, with a combined <sup>238</sup>U-<sup>230</sup>Th zircon isochron age of: 2.83 &plusmn; 0.60 ka (2 sigma); paleomagnetic evidence suggests this age predates eruption by hundreds of years (1800 cal BP). Rock Hill erupted closely in time to these eruptions. The Obsidian Butte <sup>238</sup>U-<sup>230</sup>Th isochron age (2.86 &plusmn; 0.96 ka) is nearly identical to the combined Red Hill age, but its Virtual Geomagnetic Pole position suggests a slightly older age. The age of aphyric Mullet Island dome is the least well constrained: zircon crystals are resorbed and the paleomagnetic direction is most distinct; possible Mullet Island ages include ca. 2300, 5900, 6900, and 7700 cal BP. Our results constrain the duration of Salton Buttes volcanism to between ca. 5900 and 500 years.</span></p>","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2015GC005714","usgsCitation":"Wright, H.M., Vazquez, J.A., Champion, D.E., Calvert, A.T., Mangan, M.T., Stelten, M., Cooper, K.M., Herzig, C., and Schriener, A., 2015, Episodic Holocene eruption of the Salton Buttes rhyolites, California, from paleomagnetic, U-Th, and Ar/Ar dating: Geochemistry, Geophysics, Geosystems, v. 16, no. 4, p. 1198-1210, https://doi.org/10.1002/2015GC005714.","productDescription":"13 p.","startPage":"1198","endPage":"1210","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060289","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":472167,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015gc005714","text":"Publisher Index Page"},{"id":301218,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-30","publicationStatus":"PW","scienceBaseUri":"557ff734e4b023124e8ef976","contributors":{"authors":[{"text":"Wright, Heather M. 0000-0001-9013-507X hwright@usgs.gov","orcid":"https://orcid.org/0000-0001-9013-507X","contributorId":3949,"corporation":false,"usgs":true,"family":"Wright","given":"Heather","email":"hwright@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":548654,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vazquez, Jorge A. 0000-0003-2754-0456 jvazquez@usgs.gov","orcid":"https://orcid.org/0000-0003-2754-0456","contributorId":4458,"corporation":false,"usgs":true,"family":"Vazquez","given":"Jorge","email":"jvazquez@usgs.gov","middleInitial":"A.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":548655,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":548656,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":548657,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mangan, Margaret T. 0000-0002-5273-8053 mmangan@usgs.gov","orcid":"https://orcid.org/0000-0002-5273-8053","contributorId":3343,"corporation":false,"usgs":true,"family":"Mangan","given":"Margaret","email":"mmangan@usgs.gov","middleInitial":"T.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":548658,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stelten, Mark E.","contributorId":58544,"corporation":false,"usgs":true,"family":"Stelten","given":"Mark E.","affiliations":[],"preferred":false,"id":548659,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cooper, Kari M.","contributorId":32814,"corporation":false,"usgs":true,"family":"Cooper","given":"Kari","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":548660,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Herzig, Charles","contributorId":141168,"corporation":false,"usgs":false,"family":"Herzig","given":"Charles","email":"","affiliations":[{"id":13702,"text":"El Camino Community College","active":true,"usgs":false}],"preferred":false,"id":548661,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schriener, Alexander","contributorId":141169,"corporation":false,"usgs":false,"family":"Schriener","given":"Alexander","email":"","affiliations":[{"id":13703,"text":"CalEnergy","active":true,"usgs":false}],"preferred":false,"id":548662,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70142978,"text":"70142978 - 2015 - Modeled intermittency risk for small streams in the Upper Colorado River Basin under climate change","interactions":[],"lastModifiedDate":"2016-04-12T13:52:55","indexId":"70142978","displayToPublicDate":"2015-04-01T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Modeled intermittency risk for small streams in the Upper Colorado River Basin under climate change","docAbstract":"<p>Longer, drier summers projected for arid and semi-arid regions of western North America under climate change are likely to have enormous consequences for water resources and river-dependent ecosystems. Many climate change scenarios for this region involve decreases in mean annual streamflow, late summer precipitation and late-summer streamflow in the coming decades. Intermittent streams are already common in this region, and it is likely that minimum flows will decrease and some perennial streams will shift to intermittent flow under climate-driven changes in timing and magnitude of precipitation and runoff, combined with increases in temperature. To understand current intermittency among streams and analyze the potential for streams to shift from perennial to intermittent under a warmer climate, we analyzed historic flow records from streams in the Upper Colorado River Basin (UCRB). Approximately two-thirds of 115 gaged stream reaches included in our analysis are currently perennial and the rest have some degree of intermittency. Dry years with combinations of high temperatures and low precipitation were associated with more zero-flow days. Mean annual flow was positively related to minimum flows, suggesting that potential future declines in mean annual flows will correspond with declines in minimum flows. The most important landscape variables for predicting low flow metrics were precipitation, percent snow, potential evapotranspiration, soils, and drainage area. Perennial streams in the UCRB that have high minimum-flow variability and low mean flows are likely to be most susceptible to increasing streamflow intermittency in the future.</p>","language":"English","publisher":"European Geophysical Society","publisherLocation":"New York, NY","doi":"10.1016/j.jhydrol.2015.02.025","usgsCitation":"Reynolds, L., Shafroth, P.B., and Poff, N.L., 2015, Modeled intermittency risk for small streams in the Upper Colorado River Basin under climate change: Journal of Hydrology, v. 523, p. 768-780, https://doi.org/10.1016/j.jhydrol.2015.02.025.","productDescription":"13 p.","startPage":"768","endPage":"780","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059776","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":298560,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah, Wyoming","otherGeospatial":"Upper Colorado River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.9951171875,\n              43.723474896114794\n            ],\n            [\n              -109.92919921875,\n              43.51668853502909\n            ],\n            [\n              -109.92919921875,\n              43.35713822211053\n            ],\n            [\n              -109.62158203125,\n              43.213183300738876\n            ],\n            [\n              -109.27001953125,\n              43.13306116240612\n            ],\n            [\n              -108.67675781249999,\n              43.08493742707592\n            ],\n            [\n              -107.99560546875,\n              42.81152174509788\n            ],\n            [\n              -107.46826171874999,\n              42.569264372193864\n            ],\n            [\n              -106.94091796875,\n              42.114523952464246\n            ],\n            [\n              -106.69921875,\n              41.88592102814744\n            ],\n            [\n              -106.58935546875,\n              41.45919537950706\n            ],\n            [\n              -106.58935546875,\n              41.37680856570233\n            ],\n            [\n              -106.54541015625,\n              41.19518982948959\n            ],\n            [\n              -106.45751953125,\n              40.93011520598305\n            ],\n            [\n              -106.3037109375,\n              40.697299008636755\n            ],\n            [\n              -106.01806640624999,\n              40.58058466412764\n            ],\n            [\n              -105.908203125,\n              40.29628651711716\n            ],\n            [\n              -106.19384765625,\n              39.65645604812829\n            ],\n            [\n              -106.61132812499999,\n              39.36827914916011\n            ],\n            [\n              -106.962890625,\n              39.027718840211605\n            ],\n            [\n              -106.80908203125,\n              38.788345355085625\n            ],\n            [\n              -106.72119140625,\n              38.42777351132905\n            ],\n            [\n              -106.67724609375,\n              38.23818011979866\n            ],\n            [\n              -106.80908203125,\n              37.97884504049713\n            ],\n            [\n              -107.33642578124999,\n              37.87485339352928\n            ],\n            [\n              -107.666015625,\n              37.64903402157866\n            ],\n            [\n              -107.38037109375,\n              37.50972584293751\n            ],\n            [\n              -106.9189453125,\n              37.24782120155428\n            ],\n            [\n              -106.85302734374999,\n              36.80928470205937\n            ],\n            [\n              -106.875,\n              36.686041276581925\n            ],\n            [\n              -106.875,\n              36.421282443649496\n            ],\n            [\n              -106.962890625,\n              35.71083783530009\n            ],\n            [\n              -107.20458984375,\n              35.35321610123821\n            ],\n            [\n              -107.46826171874999,\n              34.542762387234845\n            ],\n            [\n              -107.64404296875,\n              33.96158628979907\n            ],\n            [\n              -108.17138671875,\n              33.35806161277885\n            ],\n            [\n              -108.96240234375,\n              33.30298618122413\n            ],\n            [\n              -109.1162109375,\n              33.44977658311846\n            ],\n            [\n              -109.75341796875,\n              33.779147331286474\n            ],\n            [\n              -110.58837890625,\n              34.66935854524545\n            ],\n            [\n              -111.4453125,\n              35.04798673426734\n            ],\n            [\n              -112.21435546875,\n              35.209721645221386\n            ],\n            [\n              -113.09326171875,\n              35.639441068973916\n            ],\n            [\n              -113.40087890624999,\n              36.03133177633189\n            ],\n            [\n              -113.51074218749999,\n              36.86204269508728\n            ],\n            [\n              -113.26904296874999,\n              37.24782120155428\n            ],\n            [\n              -112.91748046874999,\n              37.71859032558816\n            ],\n            [\n              -112.82958984375,\n              37.84015683604136\n            ],\n            [\n              -112.60986328125,\n              38.1172716583054\n            ],\n            [\n              -112.54394531249999,\n              38.34165619279595\n            ],\n            [\n              -112.54394531249999,\n              38.71980474264239\n            ],\n            [\n              -112.30224609374999,\n              38.89103282648849\n            ],\n            [\n              -112.236328125,\n              39.06184913429154\n            ],\n            [\n              -111.90673828125,\n              39.40224434029275\n            ],\n            [\n              -111.8463134765625,\n              39.91394967016644\n            ],\n            [\n              -111.70898437499999,\n              40.111688665595956\n            ],\n            [\n              -111.6265869140625,\n              40.26695230509778\n            ],\n            [\n              -111.3958740234375,\n              40.55554790286311\n            ],\n            [\n              -111.37390136718749,\n              40.751418432997426\n            ],\n            [\n              -111.3189697265625,\n              40.96330795307353\n            ],\n            [\n              -111.20361328125,\n              40.979898069620155\n            ],\n            [\n              -111.082763671875,\n              41.054501963290505\n            ],\n            [\n              -110.972900390625,\n              41.20345619205129\n            ],\n            [\n              -110.91796875,\n              41.24890252240322\n            ],\n            [\n              -110.819091796875,\n              41.508577297439324\n            ],\n            [\n              -110.76416015625,\n              41.80407814427237\n            ],\n            [\n              -110.72021484375,\n              42.36666166373274\n            ],\n            [\n              -110.731201171875,\n              42.80346172417078\n            ],\n            [\n              -110.599365234375,\n              43.25320494908846\n            ],\n            [\n              -110.56640625,\n              43.389081939117496\n            ],\n            [\n              -110.50048828124999,\n              43.620170616189924\n            ],\n            [\n              -110.445556640625,\n              43.723474896114794\n            ],\n            [\n              -110.32470703125,\n              43.74728909225906\n            ],\n            [\n              -110.14892578125,\n              43.74728909225906\n            ],\n            [\n              -109.9951171875,\n              43.723474896114794\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"523","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551d089ee4b0256c24f42155","contributors":{"authors":[{"text":"Reynolds, Lindsay V.","contributorId":102732,"corporation":false,"usgs":true,"family":"Reynolds","given":"Lindsay V.","affiliations":[],"preferred":false,"id":542374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X shafrothp@usgs.gov","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":2000,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick","email":"shafrothp@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":542373,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poff, N. LeRoy","contributorId":90843,"corporation":false,"usgs":true,"family":"Poff","given":"N.","email":"","middleInitial":"LeRoy","affiliations":[],"preferred":false,"id":542375,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70150453,"text":"70150453 - 2015 - Desertification, salinization, and biotic homogenization in a dryland river ecosystem","interactions":[],"lastModifiedDate":"2015-06-26T09:54:51","indexId":"70150453","displayToPublicDate":"2015-04-01T11:00:00","publicationYear":"2015","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":"Desertification, salinization, and biotic homogenization in a dryland river ecosystem","docAbstract":"<p>This study determined long-term changes in fish assemblages, river discharge, salinity, and local precipitation, and examined hydrological drivers of biotic homogenization in a dryland river ecosystem, the Trans-Pecos region of the Rio Grande/Rio Bravo del Norte (USA/Mexico). Historical (1977-1989) and current (2010-2011) fish assemblages were analyzed by rarefaction analysis (species richness), nonmetric multidimensional scaling (composition/variability), multiresponse permutation procedures (composition), and paired t-test (variability). Trends in hydrological conditions (1970s-2010s) were examined by Kendall tau and quantile regression, and associations between streamfiow and specific conductance (salinity) by generalized linear models. Since the 1970s, species richness and variability of fish assemblages decreased in the Rio Grande below the confluence with the Rio Conchos (Mexico), a major tributary, but not above it. There was increased representation of lower-flow/higher-salinity tolerant species, thus making fish communities below the confluence taxonomically and functionally more homogeneous to those above it. Unlike findings elsewhere, this biotic homogenization was due primarily to changes in the relative abundances of native species. While Rio Conchos discharge was &gt; 2-fold higher than Rio Grande discharge above their confluence, Rio Conchos discharge decreased during the study period causing Rio Grande discharge below the confluence to also decrease. Rio Conchos salinity is lower than Rio Grande salinity above their confluence and, as Rio Conchos discharge decreased, it caused Rio Grande salinity below the confluence to increase (reduced dilution). Trends in discharge did not correspond to trends in precipitation except at extreme-high (90th quantile) levels. In conclusion, decreasing discharge from the Rio Conchos has led to decreasing flow and increasing salinity in the Rio Grande below the confluence. This spatially uneven desertification and salinization of the Rio Grande has in turn led to a region-wide homogenization of hydrological conditions and of taxonomic and functional attributes of fish assemblages.</p>","language":"English","publisher":"Elsevier Pub. Co.","publisherLocation":"Amsterdam","doi":"10.1016/j.scitotenv.2014.12.079","usgsCitation":"Miyazono, S., Patino, R., and Taylor, C., 2015, Desertification, salinization, and biotic homogenization in a dryland river ecosystem: Science of the Total Environment, v. 511, p. 444-453, https://doi.org/10.1016/j.scitotenv.2014.12.079.","productDescription":"10 p.","startPage":"444","endPage":"453","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059894","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":302362,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"511","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558e77b2e4b0b6d21dd65946","contributors":{"authors":[{"text":"Miyazono, S.","contributorId":79310,"corporation":false,"usgs":true,"family":"Miyazono","given":"S.","affiliations":[],"preferred":false,"id":556942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":556904,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, C.M.","contributorId":64707,"corporation":false,"usgs":true,"family":"Taylor","given":"C.M.","email":"","affiliations":[],"preferred":false,"id":556943,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70148532,"text":"70148532 - 2015 - Prevalence and genetic diversity of haematozoa in South American waterfowl and evidence for intercontinental redistribution of parasites by migratory birds","interactions":[],"lastModifiedDate":"2015-06-12T09:56:46","indexId":"70148532","displayToPublicDate":"2015-04-01T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2025,"text":"International Journal for Parasitology: Parasites and Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Prevalence and genetic diversity of haematozoa in South American waterfowl and evidence for intercontinental redistribution of parasites by migratory birds","docAbstract":"<p>To understand the role of migratory birds in the movement and transmission of haematozoa within and between continental regions, we examined 804 blood samples collected from eleven endemic species of South American waterfowl in Peru and Argentina for infection by <i>Haemoproteus</i>, <i>Plasmodium</i>, and/or <i>Leucocytozono</i> blood parasites. Infections were detected in 25 individuals of six species for an overall apparent prevalence rate of 3.1%. Analysis of haematozoa mitochondrial DNA revealed twelve distinct parasite haplotypes infecting South American waterfowl, four of which were identical to lineages previously observed infecting ducks and swans sampled in North America. Analysis of parasite mitochondrial DNA sequences revealed close phylogenetic relationships between lineages originating from waterfowl samples regardless of continental affiliation. In contrast, more distant phylogenetic relationships were observed between parasite lineages from waterfowl and passerines sampled in South America for <i>Haemoproteus</i> and <i>Leucocytozoon</i>, suggesting some level of host specificity for parasites of these genera. The detection of identical parasite lineages in endemic, South American waterfowl and North American ducks and swans, paired with the close phylogenetic relationships of haematozoa infecting waterfowl on both continents, provides evidence for parasite redistribution between these regions by migratory birds.</p>","language":"English","publisher":"Australian Society for Parasitology","publisherLocation":"Oxford","doi":"10.1016/j.ijppaw.2014.12.007","usgsCitation":"Smith, M.M., and Ramey, A.M., 2015, Prevalence and genetic diversity of haematozoa in South American waterfowl and evidence for intercontinental redistribution of parasites by migratory birds: International Journal for Parasitology: Parasites and Wildlife, v. 4, no. 1, p. 22-28, https://doi.org/10.1016/j.ijppaw.2014.12.007.","productDescription":"7 p.","startPage":"22","endPage":"28","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056200","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":472166,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijppaw.2014.12.007","text":"Publisher Index Page"},{"id":301191,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"557c02dfe4b023124e8edf38","chorus":{"doi":"10.1016/j.ijppaw.2014.12.007","url":"http://dx.doi.org/10.1016/j.ijppaw.2014.12.007","publisher":"Elsevier BV","authors":"Smith Matthew M., Ramey Andrew M.","journalName":"International Journal for Parasitology: Parasites and Wildlife","publicationDate":"4/2015","auditedOn":"2/8/2015","publiclyAccessibleDate":"12/22/2014"},"contributors":{"authors":[{"text":"Smith, Matthew M. 0000-0002-2259-5135 mmsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-2259-5135","contributorId":5115,"corporation":false,"usgs":true,"family":"Smith","given":"Matthew","email":"mmsmith@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":548517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":548518,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70147976,"text":"70147976 - 2015 - A real-time, quantitative PCR protocol for assessing the relative parasitemia of <i>Leucocytozoon</i> in waterfowl","interactions":[],"lastModifiedDate":"2015-05-11T09:38:52","indexId":"70147976","displayToPublicDate":"2015-04-01T10:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2390,"text":"Journal of Microbiological Methods","active":true,"publicationSubtype":{"id":10}},"title":"A real-time, quantitative PCR protocol for assessing the relative parasitemia of <i>Leucocytozoon</i> in waterfowl","docAbstract":"<p>Microscopic examination of blood smears can be effective at diagnosing and quantifying hematozoa infections. However, this method requires highly trained observers, is time consuming, and may be inaccurate for detection of infections at low levels of parasitemia. To develop a molecular methodology for identifying and quantifying Leucocytozoon parasite infection in wild waterfowl (Anseriformes), we designed a real-time, quantitative PCR protocol to amplify Leucocytozoon mitochondrial DNA using TaqMan fluorogenic probes and validated our methodology using blood samples collected from waterfowl in interior Alaska during late summer and autumn (n = 105). By comparing our qPCR results to those derived from a widely used nested PCR protocol, we determined that our assay showed high levels of sensitivity (91%) and specificity (100%) in detecting Leucocytozoon DNA from host blood samples. Additionally, results of a linear regression revealed significant correlation between the raw measure of parasitemia produced by our qPCR assay (Ct values) and numbers of parasites observed on blood smears (R2 = 0.694, P = 0.003), indicating that our assay can reliably determine the relative parasitemia levels among samples. This methodology provides a powerful new tool for studies assessing effects of haemosporidian infection in wild avian species.</p>","language":"English","publisher":"Elsevier","publisherLocation":"New York, NY","doi":"10.1016/j.mimet.2015.01.027","usgsCitation":"Smith, M.M., Schmutz, J.A., Apelgren, C., and Ramey, A.M., 2015, A real-time, quantitative PCR protocol for assessing the relative parasitemia of <i>Leucocytozoon</i> in waterfowl: Journal of Microbiological Methods, v. 111, p. 72-77, https://doi.org/10.1016/j.mimet.2015.01.027.","productDescription":"6 p.","startPage":"72","endPage":"77","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061964","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":300266,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"111","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5551d2ade4b0a92fa7e93bce","chorus":{"doi":"10.1016/j.mimet.2015.01.027","url":"http://dx.doi.org/10.1016/j.mimet.2015.01.027","publisher":"Elsevier BV","authors":"Smith Matthew M., Schmutz Joel, Apelgren Chloe, Ramey Andrew M.","journalName":"Journal of Microbiological Methods","publicationDate":"4/2015","auditedOn":"3/9/2015"},"contributors":{"authors":[{"text":"Smith, Matthew M. 0000-0002-2259-5135 mmsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-2259-5135","contributorId":5115,"corporation":false,"usgs":true,"family":"Smith","given":"Matthew","email":"mmsmith@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":546515,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":546516,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Apelgren, Chloe","contributorId":140012,"corporation":false,"usgs":false,"family":"Apelgren","given":"Chloe","email":"","affiliations":[{"id":13356,"text":"University of Hawaii, Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":546557,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":546517,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70146988,"text":"70146988 - 2015 - Relative sensitivity of an amphipod <i>Hyalella azteca</i>, a midge <i>Chironomus dilutus</i>, and a unionid mussel Lampsilis siliquoidea to a toxic sediment","interactions":[],"lastModifiedDate":"2018-08-09T12:40:43","indexId":"70146988","displayToPublicDate":"2015-04-01T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Relative sensitivity of an amphipod <i>Hyalella azteca</i>, a midge <i>Chironomus dilutus</i>, and a unionid mussel Lampsilis siliquoidea to a toxic sediment","docAbstract":"<p><span>The objective of the present study was to evaluate the relative sensitivity of test organisms in exposures to dilutions of a highly toxic sediment contaminated with metals and organic compounds. One dilution series was prepared using control sand (low total organic carbon [TOC; &lt;0.1%, low binding capacity for contaminants]) and a second dilution series was prepared using control sediment from West Bearskin Lake, Minnesota, USA (high TOC [∼10% TOC, higher binding capacity for contaminants]). Test organisms included an amphipod (</span><i>Hyalella azteca</i><span>; 10-d and 28-d exposures), a midge (</span><i>Chironomus dilutus</i><span>; 20-d and 48-d exposures started with &lt;1-h-old larvae, and 13-d and 48-d exposures started with 7-d-old larvae), and a unionid mussel (</span><i>Lampsilis siliquoidea</i><span>; 28-d exposures). Relative species sensitivity depended on the toxicity endpoint and the diluent. All 3 species were more sensitive in sand dilutions than in West Bearskin Lake sediment dilutions. The &lt;1-h-old </span><i>C. dilutus</i><span> were more sensitive than 7-d-old </span><i>C. dilutus</i><span>, but replicate variability was high in exposures started with the younger midge larvae. Larval biomass and adult emergence endpoints of </span><i>C. dilutus</i><span> exhibited a similar sensitivity. Survival, weight, and biomass of </span><i>H. azteca</i><span> were more sensitive endpoints in 28-d exposures than in 10-d exposures. Weight and biomass of </span><i>L. siliquoidea</i><span> were sensitive endpoints in both sand and West Bearskin Lake sediment dilutions. Metals, ammonia, oil, and other organic contaminants may have contributed to the observed toxicity.</span></p>","language":"English","publisher":"SETAC ","publisherLocation":"New York, NY","doi":"10.1002/etc.2909","usgsCitation":"Ingersoll, C.G., Kunz, J.L., Hughes, J.P., Wang, N., Ireland, D.S., Mount, D.R., Hockett, J., and Valenti, T.W., 2015, Relative sensitivity of an amphipod <i>Hyalella azteca</i>, a midge <i>Chironomus dilutus</i>, and a unionid mussel Lampsilis siliquoidea to a toxic sediment: Environmental Toxicology and Chemistry, v. 34, no. 5, p. 1134-1144, https://doi.org/10.1002/etc.2909.","productDescription":"11 p.","startPage":"1134","endPage":"1144","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060974","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":472170,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.2909","text":"Publisher Index Page"},{"id":299913,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"5","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-05","publicationStatus":"PW","scienceBaseUri":"5540af2de4b0a658d79392b0","contributors":{"authors":[{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":545538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kunz, James L. 0000-0002-1027-158X jkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-1027-158X","contributorId":3309,"corporation":false,"usgs":true,"family":"Kunz","given":"James","email":"jkunz@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":545539,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hughes, Jamie P.","contributorId":49266,"corporation":false,"usgs":true,"family":"Hughes","given":"Jamie","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":545540,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Ning 0000-0002-2846-3352 nwang@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-3352","contributorId":2818,"corporation":false,"usgs":true,"family":"Wang","given":"Ning","email":"nwang@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":545541,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ireland, D. Scott","contributorId":140415,"corporation":false,"usgs":false,"family":"Ireland","given":"D.","email":"","middleInitial":"Scott","affiliations":[{"id":13484,"text":"U.S. Environmental Protection Agency, Chicago, IL","active":true,"usgs":false}],"preferred":false,"id":545542,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mount, David R.","contributorId":150725,"corporation":false,"usgs":false,"family":"Mount","given":"David","email":"","middleInitial":"R.","affiliations":[{"id":18078,"text":"U. S. Environmental Protection Agency, Environmental Effects Research Laboratory, Duluth, Minnesota","active":true,"usgs":false}],"preferred":false,"id":545543,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hockett, J. Russell","contributorId":140417,"corporation":false,"usgs":false,"family":"Hockett","given":"J. Russell","affiliations":[{"id":13485,"text":"U.S. Environmental Protection Agency, Duluth, MN","active":true,"usgs":false}],"preferred":false,"id":545544,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Valenti, Ted W","contributorId":140418,"corporation":false,"usgs":false,"family":"Valenti","given":"Ted","email":"","middleInitial":"W","affiliations":[{"id":13486,"text":"Syngenta Biotechnology, Inc., Research Triangle Park, NC","active":true,"usgs":false}],"preferred":false,"id":545545,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70147066,"text":"70147066 - 2015 - Characterization of Missouri surface waters near point sources of pollution reveals potential novel atmospheric route of exposure for bisphenol A and wastewater hormonal activity pattern","interactions":[],"lastModifiedDate":"2018-08-10T09:48:38","indexId":"70147066","displayToPublicDate":"2015-04-01T10:30:00","publicationYear":"2015","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":"Characterization of Missouri surface waters near point sources of pollution reveals potential novel atmospheric route of exposure for bisphenol A and wastewater hormonal activity pattern","docAbstract":"<p>Surface water contamination by chemical pollutants increasingly threatens water quality around the world. Among the many contaminants found in surface water, there is growing concern regarding endocrine disrupting chemicals, based on their ability to interfere with some aspect of hormone action in exposed organisms, including humans. This study assessed water quality at several sites across Missouri (near wastewater treatment plants and airborne release sites of bisphenol A) based on hormone receptor activation potencies and chemical concentrationspresent in the surface water. We hypothesized that bisphenol A and ethinylestradiol would be greater in water near permitted airborne release sites and wastewater treatment plant inputs, respectively, and that these two compounds would be responsible for the majority of activities in receptor-based assays conducted with water collected near these sites. Concentrations of bisphenol A and ethinylestradiol were compared to observed receptor activities using authentic standards to assess contribution to total activities, and quantitation of a comprehensive set of wastewater compounds was performed to better characterize each site. Bisphenol A concentrations were found to be elevated in surface water near permitted airborne release sites, raising questions that airborne releases of BPA may influence nearby surface water contamination and may represent a previously underestimated source to the environment and potential for human exposure. Estrogen and androgen receptor activities of surface water samples were predictive of wastewater input, although the lower sensitivity of the ethinylestradiol ELISA relative to the very high sensitivity of the bioassay approaches did not allow a direct comparison. Wastewater-influenced sites also had elevated anti-estrogenic and anti-androgenic equivalence, while sites without wastewater discharges exhibited no antagonist activities.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2015.04.013","usgsCitation":"Kassotis, C., Alvarez, D., Taylor, J.A., vom Saal, F., Nagel, S., and Tillitt, D.E., 2015, Characterization of Missouri surface waters near point sources of pollution reveals potential novel atmospheric route of exposure for bisphenol A and wastewater hormonal activity pattern: Science of the Total Environment, v. 524-525, p. 384-393, https://doi.org/10.1016/j.scitotenv.2015.04.013.","productDescription":"10 p.","startPage":"384","endPage":"393","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063151","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":299912,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"524-525","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5540af28e4b0a658d79392a3","contributors":{"authors":[{"text":"Kassotis, Christopher D.","contributorId":26967,"corporation":false,"usgs":true,"family":"Kassotis","given":"Christopher D.","affiliations":[],"preferred":false,"id":545610,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alvarez, David A. dalvarez@usgs.gov","contributorId":139231,"corporation":false,"usgs":true,"family":"Alvarez","given":"David A.","email":"dalvarez@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":545611,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, Julia A.","contributorId":140428,"corporation":false,"usgs":false,"family":"Taylor","given":"Julia","email":"","middleInitial":"A.","affiliations":[{"id":13494,"text":"Division of Biological Sciences, University of Missouri, Columbia, MO","active":true,"usgs":false}],"preferred":false,"id":545612,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"vom Saal, Frederick S.","contributorId":17488,"corporation":false,"usgs":true,"family":"vom Saal","given":"Frederick S.","affiliations":[],"preferred":false,"id":545613,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nagel, Susan C.","contributorId":56147,"corporation":false,"usgs":true,"family":"Nagel","given":"Susan C.","affiliations":[],"preferred":false,"id":545614,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tillitt, Donald E. 0000-0002-8278-3955 dtillitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8278-3955","contributorId":1875,"corporation":false,"usgs":true,"family":"Tillitt","given":"Donald","email":"dtillitt@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":545609,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70147015,"text":"70147015 - 2015 - Characterisation of a natural quartz crystal as a reference material for microanalytical determination of Ti, Al, Li, Fe, Mn, Ga and Ge","interactions":[],"lastModifiedDate":"2015-04-27T09:30:34","indexId":"70147015","displayToPublicDate":"2015-04-01T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1822,"text":"Geostandards and Geoanalytical Research","active":true,"publicationSubtype":{"id":10}},"title":"Characterisation of a natural quartz crystal as a reference material for microanalytical determination of Ti, Al, Li, Fe, Mn, Ga and Ge","docAbstract":"<p>A natural smoky quartz crystal from Shandong province, China, was characterised by laser ablation ICP-MS, electron probe microanalysis (EPMA) and solution ICP-MS to determine the concentration of twenty-four trace and ultra trace elements. Our main focus was on Ti quantification because of the increased use of this element for titanium-in-quartz (TitaniQ) thermobarometry. Pieces of a uniform growth zone of 9 mm thickness within the quartz crystal were analysed in four different LA-ICP-MS laboratories, three EPMA laboratories and one solution-ICP-MS laboratory. The results reveal reproducible concentrations of Ti (57 &plusmn; 4 &mu;g g<sup>-1</sup>), Al (154 &plusmn; 15 &mu;g g<sup>-1</sup>), Li (30 &plusmn; 2 &mu;g g<sup>-1</sup>), Fe (2.2 &plusmn; 0.3 &mu;g g<sup>-1</sup>), Mn (0.34 &plusmn; 0.04 &mu;g g<sup>-1</sup>), Ge (1.7 &plusmn; 0.2 &mu;g g<sup>-1</sup>) and Ga (0.020 &plusmn; 0.002 &mu;g g<sup>-1</sup>) and detectable, but less reproducible, concentrations of Be, B, Na, Cu, Zr, Sn and Pb. Concentrations of K, Ca, Sr, Mo, Ag, Sb, Ba and Au were below the limits of detection of all three techniques. The uncertainties on the average concentration determinations by multiple techniques and laboratories for Ti, Al, Li, Fe, Mn, Ga and Ge are low; hence, this quartz can serve as a reference material or a secondary reference material for microanalytical applications involving the quantification of trace elements in quartz.</p>","language":"English","publisher":"International Association of Geoanalysts","publisherLocation":"Paris, France","doi":"10.1111/j.1751-908X.2014.00309.x","usgsCitation":"Audetat, A., Garbe-Schonberg, D., Kronz, A., Pettke, T., Rusk, B.G., Donovan, J., and Lowers, H., 2015, Characterisation of a natural quartz crystal as a reference material for microanalytical determination of Ti, Al, Li, Fe, Mn, Ga and Ge: Geostandards and Geoanalytical Research, v. 39, no. 2, p. 171-184, https://doi.org/10.1111/j.1751-908X.2014.00309.x.","productDescription":"14 p.","startPage":"171","endPage":"184","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054953","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":492495,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.sub.uni-goettingen.de/purl?gro-2/37065","text":"External Repository"},{"id":299887,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-23","publicationStatus":"PW","scienceBaseUri":"553f5dace4b0a658d7938ce8","contributors":{"authors":[{"text":"Audetat, Andreas","contributorId":140422,"corporation":false,"usgs":false,"family":"Audetat","given":"Andreas","email":"","affiliations":[{"id":13489,"text":"Bayerisches Geoinstitut, Universität Bayreuth, 95440 Bayreuth, Germany","active":true,"usgs":false}],"preferred":false,"id":545592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garbe-Schonberg, Dieter","contributorId":140423,"corporation":false,"usgs":false,"family":"Garbe-Schonberg","given":"Dieter","affiliations":[{"id":13490,"text":"Institute of Geoscience, Christian-Albrechts-Universität Kiel, 24118 Kiel, Germany","active":true,"usgs":false}],"preferred":false,"id":545593,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kronz, Andreas","contributorId":140424,"corporation":false,"usgs":false,"family":"Kronz","given":"Andreas","email":"","affiliations":[{"id":13491,"text":"Geowissenschaftliches Zentrum, Universität Göttingen, 37077 Göttingen, Germany","active":true,"usgs":false}],"preferred":false,"id":545594,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pettke, Thomas","contributorId":140425,"corporation":false,"usgs":false,"family":"Pettke","given":"Thomas","email":"","affiliations":[{"id":13492,"text":"Institute of Geological Sciences, University of Bern, 3012 Bern, Switzerland","active":true,"usgs":false}],"preferred":false,"id":545595,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rusk, Brian G.","contributorId":23648,"corporation":false,"usgs":true,"family":"Rusk","given":"Brian","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":545596,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Donovan, John J.","contributorId":86091,"corporation":false,"usgs":true,"family":"Donovan","given":"John J.","affiliations":[],"preferred":false,"id":545597,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lowers, Heather 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":710,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":545591,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70144482,"text":"70144482 - 2015 - Foraging range movements of the endangered Hawaiian hoary bat, <i>Lasiurus cinereus semotus</i> (Chiroptera: Vespertilionidae)","interactions":[],"lastModifiedDate":"2018-01-04T12:56:28","indexId":"70144482","displayToPublicDate":"2015-04-01T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Foraging range movements of the endangered Hawaiian hoary bat, <i>Lasiurus cinereus semotus</i> (Chiroptera: Vespertilionidae)","docAbstract":"<p><span>We documented nightly movements of Hawaiian hoary bats (</span><i>Lasiurus cinereus semotus</i><span>) on the island of Hawai&rsquo;i. Based on data from 28 radiotagged individuals mean foraging range (FR) was 230.7&plusmn;72.3 ha, core-use area (CUA) was 25.5&plusmn;6.9 ha (or 11.1% of mean FR), and the mean long axis (LAX) across the FR was 3,390.8&plusmn;754.3 m. There was almost no overlap in CUAs among 4 adult males having overlapping foraging areas and tracked simultaneously or within a 90-day window of each other. CUAs of subadults partially overlapped with multiple adult males or with one other subadult. High variance in FRs, cores use areas, and LAX across the FR perhaps reflect localized stochastic variables such as weather, habitat, and food resources. Hawaiian hoary bats use moderately large FRs among insectivorous bats studied with comparable methodologies; however, foraging activity indicated by documentation of acoustic feeding buzzes is concentrated within one or a few disjunct areas cumulatively forming the 50% fixed kernel of CUA. The concentration of feeding activity, low values of individual overlap, and agonistic chasing behavior within CUAs all demonstrate a structured use of individual space by Hawaiian hoary bats.</span></p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/jmammal/gyu003","usgsCitation":"Bonaccorso, F.J., Todd, C.M., Miles, A.C., and Gorresen, P.M., 2015, Foraging range movements of the endangered Hawaiian hoary bat, <i>Lasiurus cinereus semotus</i> (Chiroptera: Vespertilionidae): Journal of Mammalogy, v. 96, no. 1, p. 64-71, https://doi.org/10.1093/jmammal/gyu003.","productDescription":"8 p.","startPage":"64","endPage":"71","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055423","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":472168,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyu003","text":"Publisher Index Page"},{"id":438709,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TI6MK3","text":"USGS data release","linkHelpText":"Hawaii Island Hawaiian hoary bat foraging location data 2004-2010"},{"id":299245,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.60279846191406,\n              18.966039089744722\n            ],\n            [\n              -155.67901611328125,\n              18.90888487914695\n            ],\n            [\n              -155.93444824218747,\n              19.06990562064469\n            ],\n            [\n              -155.89324951171875,\n              19.334470141510725\n            ],\n            [\n              -156.0765838623047,\n              19.756364230752375\n            ],\n            [\n              -155.89942932128906,\n              19.913965885756145\n            ],\n            [\n              -155.8293914794922,\n              20.02174221755155\n            ],\n            [\n              -155.87745666503906,\n              20.0926923075457\n            ],\n            [\n              -155.9124755859375,\n              20.17198936032983\n            ],\n            [\n              -155.89874267578125,\n              20.254467080673578\n            ],\n            [\n              -155.863037109375,\n              20.269282659332276\n            ],\n            [\n              -155.82733154296875,\n              20.26992678284155\n            ],\n            [\n              -155.555419921875,\n              20.13073412578307\n            ],\n            [\n              -155.40847778320312,\n              20.079794677837523\n            ],\n            [\n              -155.26771545410156,\n              20.015290619684468\n            ],\n            [\n              -155.1654052734375,\n              19.941723716612646\n            ],\n            [\n              -155.0836944580078,\n              19.856498158184017\n            ],\n            [\n              -155.08163452148438,\n              19.724049534671522\n            ],\n            [\n              -155.03631591796875,\n              19.738915107131543\n            ],\n            [\n              -155.00198364257812,\n              19.73439094891939\n            ],\n            [\n              -154.94224548339844,\n              19.632886918987804\n            ],\n            [\n              -154.80560302734375,\n              19.52355289169168\n            ],\n            [\n              -154.82070922851562,\n              19.47500813674323\n            ],\n            [\n              -154.97314453125,\n              19.342244996771804\n            ],\n            [\n              -155.12489318847656,\n              19.2748506284423\n            ],\n            [\n              -155.1983642578125,\n              19.256701248948485\n            ],\n            [\n              -155.27252197265625,\n              19.269665296502332\n            ],\n            [\n              -155.35079956054688,\n              19.210670607390455\n            ],\n            [\n              -155.5499267578125,\n              19.08028870094175\n            ],\n            [\n              -155.55130004882812,\n              19.04719036505186\n            ],\n            [\n              -155.60279846191406,\n              18.966039089744722\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"96","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-27","publicationStatus":"PW","scienceBaseUri":"551d089de4b0256c24f42150","contributors":{"authors":[{"text":"Bonaccorso, Frank J. fbonaccorso@usgs.gov","contributorId":3088,"corporation":false,"usgs":true,"family":"Bonaccorso","given":"Frank","email":"fbonaccorso@usgs.gov","middleInitial":"J.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":false,"id":543650,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Todd, Christopher M.","contributorId":64548,"corporation":false,"usgs":true,"family":"Todd","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":543651,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miles, Adam C.","contributorId":139982,"corporation":false,"usgs":false,"family":"Miles","given":"Adam","email":"","middleInitial":"C.","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":543653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gorresen, P. Marcos mgorresen@usgs.gov","contributorId":3975,"corporation":false,"usgs":true,"family":"Gorresen","given":"P.","email":"mgorresen@usgs.gov","middleInitial":"Marcos","affiliations":[],"preferred":false,"id":543652,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70168406,"text":"70168406 - 2015 - Clutch size declines with elevation in tropical birds","interactions":[],"lastModifiedDate":"2017-10-24T15:15:51","indexId":"70168406","displayToPublicDate":"2015-04-01T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Clutch size declines with elevation in tropical birds","docAbstract":"<p>Clutch size commonly decreases with increasing elevation among temperate-zone and subtropical songbird species. Tropical songbirds typically lay small clutches, thus the ability to evolve even smaller clutch sizes at higher elevations is unclear and untested. We conducted a comparative phylogenetic analysis using data gathered from the literature to test whether clutch size varied with elevation among forest passerines from three tropical biogeographic regions&mdash;the Venezuelan Andes and adjacent lowlands, Malaysian Borneo, and New Guinea. We found a significant negative effect of elevation on variation in clutch size among species. We found the same pattern using field data sampled across elevational gradients in Venezuela and Malaysian Borneo. Field data were not available for New Guinea. Both sets of results demonstrate that tropical montane species across disparate biogeographic realms lay smaller clutches than closely related low-elevation species. The environmental sources of selection underlying this pattern remain uncertain and merit further investigation.</p>","language":"English","publisher":"American Ornithological Society","doi":"10.1642/AUK-14-150.1","usgsCitation":"Boyce, A., Freeman, B.G., Mitchell, A.E., and Martin, T.E., 2015, Clutch size declines with elevation in tropical birds: The Auk, v. 132, no. 2, p. 424-432, https://doi.org/10.1642/AUK-14-150.1.","productDescription":"9 p.","startPage":"424","endPage":"432","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057842","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":472171,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1642/auk-14-150.1","text":"Publisher Index Page"},{"id":317967,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Malaysian Borneo, New Guinea, Venezuela","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[101.07552,6.20487],[101.15422,5.69138],[101.81428,5.81081],[102.14119,6.22164],[102.37115,6.12821],[102.96171,5.5245],[103.38121,4.855],[103.43858,4.18161],[103.33212,3.7267],[103.42943,3.38287],[103.50245,2.79102],[103.85467,2.51545],[104.24793,1.63114],[104.22881,1.29305],[103.51971,1.22633],[102.57362,1.96712],[101.39064,2.76081],[101.27354,3.27029],[100.69544,3.93914],[100.55741,4.76728],[100.19671,5.31249],[100.30626,6.04056],[100.08576,6.46449],[100.2596,6.64282],[101.07552,6.20487]]],[[[118.61832,4.4782],[117.88203,4.13755],[117.01521,4.30609],[115.86552,4.30656],[115.51908,3.16924],[115.13404,2.82148],[114.62136,1.43069],[113.80585,1.21755],[112.85981,1.49779],[112.38025,1.41012],[111.79755,0.90444],[111.15914,0.97648],[110.51406,0.77313],[109.83023,1.33814],[109.66326,2.00647],[110.39614,1.66377],[111.16885,1.85064],[111.37008,2.6973],[111.79693,2.8859],[112.99561,3.10239],[113.71294,3.89351],[114.20402,4.52587],[114.6596,4.00764],[114.86956,4.34831],[115.34746,4.31664],[115.4057,4.95523],[115.45071,5.44773],[116.22074,6.14319],[116.7251,6.92477],[117.12963,6.92805],[117.64339,6.42217],[117.68908,5.98749],[118.34769,5.7087],[119.1819,5.40784],[119.11069,5.01613],[118.43973,4.96652],[118.61832,4.4782]]],[[[155.88003,-6.82],[155.59999,-6.91999],[155.16699,-6.53593],[154.72919,-5.90083],[154.51411,-5.13912],[154.6525,-5.04243],[154.75999,-5.33998],[155.06292,-5.56679],[155.54775,-6.20065],[156.01997,-6.54001],[155.88003,-6.82]]],[[[151.9828,-5.47806],[151.45911,-5.56028],[151.30139,-5.84073],[150.75445,-6.08376],[150.2412,-6.31775],[149.70996,-6.31651],[148.89006,-6.02604],[148.31894,-5.74714],[148.40183,-5.43776],[149.29841,-5.58374],[149.84556,-5.5055],[149.99625,-5.0261],[150.13976,-5.00135],[150.23691,-5.53222],[150.80747,-5.45584],[151.08967,-5.11369],[151.64788,-4.75707],[151.53786,-4.16781],[152.13679,-4.14879],[152.33874,-4.31297],[152.31869,-4.86766],[151.9828,-5.47806]]],[[[147.19187,-7.38802],[148.08464,-8.04411],[148.73411,-9.10466],[149.30684,-9.07144],[149.26663,-9.51441],[150.03873,-9.68432],[149.7388,-9.87294],[150.80163,-10.29369],[150.69057,-10.58271],[150.02839,-10.65248],[149.78231,-10.39327],[148.92314,-10.28092],[147.91302,-10.13044],[147.13544,-9.49244],[146.56788,-8.94255],[146.04848,-8.06741],[144.74417,-7.63013],[143.89709,-7.91533],[143.28638,-8.24549],[143.41391,-8.98307],[142.62843,-9.32682],[142.06826,-9.1596],[141.03385,-9.11789],[141.01706,-5.85902],[141.00021,-2.60015],[142.73525,-3.28915],[144.58397,-3.86142],[145.27318,-4.37374],[145.82979,-4.8765],[145.98192,-5.46561],[147.64807,-6.08366],[147.89111,-6.61401],[146.97091,-6.72166],[147.19187,-7.38802]]],[[[153.14004,-4.49998],[152.82729,-4.76643],[152.63867,-4.17613],[152.40603,-3.78974],[151.95324,-3.46206],[151.38428,-3.03542],[150.66205,-2.74149],[150.93997,-2.5],[151.47998,-2.77999],[151.82002,-2.99997],[152.23999,-3.24001],[152.64002,-3.65998],[153.01999,-3.98002],[153.14004,-4.49998]]],[[[-71.33158,11.77628],[-71.36001,11.53999],[-71.94705,11.42328],[-71.62087,10.96946],[-71.63306,10.44649],[-72.07417,9.86565],[-71.69564,9.07226],[-71.26456,9.13719],[-71.04,9.85999],[-71.35008,10.21194],[-71.40062,10.96897],[-70.1553,11.37548],[-70.29384,11.84682],[-69.94324,12.16231],[-69.5843,11.45961],[-68.883,11.44338],[-68.23327,10.88574],[-68.19413,10.55465],[-67.29625,10.54587],[-66.22786,10.64863],[-65.65524,10.2008],[-64.89045,10.07721],[-64.32948,10.3896],[-64.31801,10.64142],[-63.07932,10.70172],[-61.88095,10.71563],[-62.73012,10.42027],[-62.38851,9.9482],[-61.58877,9.87307],[-60.8306,9.38134],[-60.67125,8.58017],[-60.1501,8.60276],[-59.75828,8.36703],[-60.55059,7.7796],[-60.63797,7.415],[-60.29567,7.04391],[-60.544,6.85658],[-61.15934,6.69608],[-61.13942,6.2343],[-61.4103,5.95907],[-60.73357,5.20028],[-60.60118,4.9181],[-60.96689,4.53647],[-62.08543,4.16212],[-62.80453,4.00697],[-63.0932,3.77057],[-63.88834,4.02053],[-64.62866,4.14848],[-64.81606,4.05645],[-64.36849,3.79721],[-64.40883,3.12679],[-64.27,2.49701],[-63.42287,2.41107],[-63.36879,2.2009],[-64.08309,1.91637],[-64.19931,1.49285],[-64.61101,1.32873],[-65.35471,1.09528],[-65.54827,0.78925],[-66.32577,0.72445],[-66.87633,1.25336],[-67.18129,2.25064],[-67.44709,2.60028],[-67.80994,2.82066],[-67.30317,3.31845],[-67.33756,3.54234],[-67.62184,3.83948],[-67.82301,4.50394],[-67.7447,5.22113],[-67.52153,5.55687],[-67.34144,6.09547],[-67.69509,6.26732],[-68.26505,6.15327],[-68.98532,6.2068],[-69.38948,6.09986],[-70.09331,6.96038],[-70.67423,7.08778],[-71.96018,6.99161],[-72.19835,7.34043],[-72.44449,7.42378],[-72.47968,7.63251],[-72.3609,8.00264],[-72.43986,8.40528],[-72.66049,8.62529],[-72.78873,9.08503],[-73.30495,9.152],[-73.0276,9.73677],[-72.90529,10.45034],[-72.61466,10.82198],[-72.22758,11.1087],[-71.97392,11.60867],[-71.33158,11.77628]]]]},\"properties\":{\"name\":\"Malaysia\"}}]}","volume":"132","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56bf104be4b06458514b68db","contributors":{"authors":[{"text":"Boyce, A.J.","contributorId":26198,"corporation":false,"usgs":true,"family":"Boyce","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":620025,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, Benjamin G.","contributorId":166757,"corporation":false,"usgs":false,"family":"Freeman","given":"Benjamin","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":620026,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mitchell, Adam E.","contributorId":166758,"corporation":false,"usgs":false,"family":"Mitchell","given":"Adam","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":620027,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Thomas E. 0000-0002-4028-4867 tmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-4028-4867","contributorId":1208,"corporation":false,"usgs":true,"family":"Martin","given":"Thomas","email":"tmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":619968,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70147111,"text":"70147111 - 2015 - Habitat fragmentation in coastal southern California disrupts genetic connectivity in the cactus wren (<i>Campylorhynchus brunneicapillus</i>)","interactions":[],"lastModifiedDate":"2015-04-28T08:52:43","indexId":"70147111","displayToPublicDate":"2015-04-01T10:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Habitat fragmentation in coastal southern California disrupts genetic connectivity in the cactus wren (<i>Campylorhynchus brunneicapillus</i>)","docAbstract":"<p>Achieving long-term persistence of species in urbanized landscapes requires characterizing population genetic structure to understand and manage the effects of anthropogenic disturbance on connectivity. Urbanization over the past century in coastal southern California has caused both precipitous loss of coastal sage scrub habitat and declines in populations of the cactus wren (<i>Campylorhynchus brunneicapillus</i>). Using 22 microsatellite loci, we found that remnant cactus wren aggregations in coastal southern California comprised 20 populations based on strict exact tests for population differentiation, and 12 genetic clusters with hierarchical Bayesian clustering analyses. Genetic structure patterns largely mirrored underlying habitat availability, with cluster and population boundaries coinciding with fragmentation caused primarily by urbanization. Using a habitat model we developed, we detected stronger associations between habitat-based distances and genetic distances than Euclidean geographic distance. Within populations, we detected a positive association between available local habitat and allelic richness and a negative association with relatedness. Isolation-by-distance patterns varied over the study area, which we attribute to temporal differences in anthropogenic landscape development. We also found that genetic bottleneck signals were associated with wildfire frequency. These results indicate that habitat fragmentation and alterations have reduced genetic connectivity and diversity of cactus wren populations in coastal southern California. Management efforts focused on improving connectivity among remaining populations may help to ensure population persistence.</p>","language":"English","publisher":"Blackwell Science","publisherLocation":"Oxford","doi":"10.1111/mec.13176","usgsCitation":"Barr, K.R., Kus, B., Preston, K., Howell, S.L., Perkins, E., and Vandergast, A.G., 2015, Habitat fragmentation in coastal southern California disrupts genetic connectivity in the cactus wren (<i>Campylorhynchus brunneicapillus</i>): Molecular Ecology, v. 24, no. 10, p. 2349-2363, https://doi.org/10.1111/mec.13176.","productDescription":"15 p.","startPage":"2349","endPage":"2363","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063243","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":438711,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9K3PXQ3","text":"USGS data release","linkHelpText":"Coastal California Gnatcatcher Habitat Suitability Model for Southern California (2015)"},{"id":438710,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F73F4MTR","text":"USGS data release","linkHelpText":"Distribution and Population Genetic Structure of Coastal Cactus Wrens in Southern California"},{"id":299906,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.16796875,\n              36.40359962073253\n            ],\n            [\n              -120.56396484375,\n              34.32529192442733\n            ],\n            [\n              -119.44335937499999,\n              34.23451236236984\n            ],\n            [\n              -117.53173828125,\n              33.284619968887704\n            ],\n            [\n              -117.20214843749999,\n              32.47269502206151\n            ],\n            [\n              -114.7412109375,\n              32.694865977875075\n            ],\n            [\n              -114.345703125,\n              32.76880048488168\n            ],\n            [\n              -114.5654296875,\n              33.358061612778876\n            ],\n            [\n              -114.3896484375,\n              34.03445260967645\n            ],\n            [\n              -114.06005859375,\n              34.30714385628804\n            ],\n            [\n              -114.54345703125,\n              35.11990857099681\n            ],\n            [\n              -117.72949218749999,\n              37.38761749978395\n            ],\n            [\n              -122.16796875,\n              36.40359962073253\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"24","issue":"10","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-20","publicationStatus":"PW","scienceBaseUri":"5540af2be4b0a658d79392aa","contributors":{"authors":[{"text":"Barr, Kelly R. kelly_barr@usgs.gov","contributorId":5628,"corporation":false,"usgs":true,"family":"Barr","given":"Kelly","email":"kelly_barr@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":545659,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kus, Barbara E. 0000-0002-3679-3044 barbara_kus@usgs.gov","orcid":"https://orcid.org/0000-0002-3679-3044","contributorId":3026,"corporation":false,"usgs":true,"family":"Kus","given":"Barbara E.","email":"barbara_kus@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":545660,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Preston, Kristine kpreston@usgs.gov","contributorId":140440,"corporation":false,"usgs":true,"family":"Preston","given":"Kristine","email":"kpreston@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":545661,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Howell, Scarlett L. 0000-0001-7538-4860 showell@usgs.gov","orcid":"https://orcid.org/0000-0001-7538-4860","contributorId":140441,"corporation":false,"usgs":true,"family":"Howell","given":"Scarlett","email":"showell@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":545662,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perkins, Emily 0000-0002-6286-3480 eperkins@usgs.gov","orcid":"https://orcid.org/0000-0002-6286-3480","contributorId":140442,"corporation":false,"usgs":true,"family":"Perkins","given":"Emily","email":"eperkins@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":545663,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vandergast, Amy G. 0000-0002-7835-6571 avandergast@usgs.gov","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":3963,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","email":"avandergast@usgs.gov","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":545658,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70144855,"text":"sir20145209 - 2015 - The Everglades Depth Estimation Network (EDEN) surface-water model, version 2","interactions":[],"lastModifiedDate":"2015-04-01T09:14:54","indexId":"sir20145209","displayToPublicDate":"2015-04-01T10:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5209","title":"The Everglades Depth Estimation Network (EDEN) surface-water model, version 2","docAbstract":"<p>The Everglades Depth Estimation Network (EDEN) is an integrated network of water-level gages, interpolation models that generate daily water-level and water-depth data, and applications that compute derived hydrologic data across the freshwater part of the greater Everglades landscape. The U.S. Geological Survey Greater Everglades Priority Ecosystems Science provides support for EDEN in order for EDEN to provide quality-assured monitoring data for the U.S. Army Corps of Engineers Comprehensive Everglades Restoration Plan.</p>\n<p>The EDEN surface-water model, version 2 (V2), interpolates water-level data from a network of 240 gages to generate gridded daily water-level surfaces for the freshwater domain of the Everglades. When these spatiotemporal continuous surfaces are combined with EDEN&rsquo;s digital elevation model of ground surface, derived hydrologic data provide scientists and water managers working in the Everglades with data necessary to analyze ecological and biotic responses to hydrologic changes in the Everglades. Derived datasets include water depth, recession rates, days since last dry, water-surface slopes, and hydroperiod. The V2 model includes enhancements from the previous model (version 1; V1) to accommodate changes in the water-level gage network, adjustments to water-level data, improved understanding of the flow dynamics (particularly near canals), and installation of an elevation benchmark network. Enhancements to the V2 model included</p>\n<ul>\n<li>Expansion of the EDEN domain: The model domain was expanded to include a part of southern Big Cypress National Preserve and northwestern Everglades National Park upstream of the marsh mangrove wetlands, thus completing the coastal connection along the southwestern boundary of the model; and</li>\n</ul>\n<ul>\n<li>Development of subdomain models: To account for insufficient water-control structure gage data at some subbasin boundaries, subdomain models were developed for five subdomains, and the resulting water-level surfaces were merged to generate the final water-level surface.</li>\n</ul>\n<p>Model performance statistics show a general improvement in the V2 model as compared to the V1 model. Overall, the root mean squared error (RMSE) was reduced by 2.42 centimeters (cm) to 4.68 cm. In Water Conservation Area 3A North and Water Conservation Area 3B, the RMSE was reduced by 10.88 and 9.15 cm, respectively. In addition to evaluating model performance statistics, 2-cm water-level maps were generated and evaluated for irregular contours that would indicate a potential problem either with data input or water-level estimates.</p>\n<p>Three applications of the EDEN-modeled water surfaces and other EDEN datasets are presented in the report to show how scientists and resource managers are using EDEN datasets to analyze biological and ecological responses to hydrologic changes in the Everglades. The biological responses of two important Everglades species, alligators and wading birds, to changes in hydrology are described. The effects of hydrology on fire dynamics in the Everglades are also discussed.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145209","collaboration":"Prepared as part of the U.S. Geological Survey Greater Everglades Priority Ecosystem Science and in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Telis, P., Xie, Z., Liu, Z., Li, Y., and Conrads, P., 2015, The Everglades Depth Estimation Network (EDEN) surface-water model, version 2: U.S. Geological Survey Scientific Investigations Report 2014-5209, Report: viii, 42 p. ; 3 Appendices, https://doi.org/10.3133/sir20145209.","productDescription":"Report: viii, 42 p. ; 3 Appendices","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-050914","costCenters":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"links":[{"id":299244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145209.jpg"},{"id":299239,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5209/"},{"id":299240,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5209/pdf/sir2014-5209.pdf","text":"Report","size":"27.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":299241,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5209/appendix/sir2014-5209_appendix1.xlsx","text":"Appendix 1","size":"58.3 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix 1","linkHelpText":"This is an electronic copy of Appendix 1. Water-level gages used to develop the EDEN surface-water model, version 2."},{"id":299242,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5209/appendix/sir2014-5209_appendix2.xlsx","text":"Appendix 2","size":"14.3 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix 2","linkHelpText":"This is an electronic copy of Appendix 2. Network of benchmarks in greater Everglades used to evaluate EDEN surface-water model."},{"id":299243,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5209/appendix/sir2014-5209_appendix3.xlsx","text":"Appendix 3","size":"39.6 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix 3","linkHelpText":"This is an electronic copy of Appendix 3. Water-level measurements at elevation benchmarks and differences between the modeled surfaces for the EDEN surface-water model, versions 1 and 2."}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.93603515625,\n              25.12539261151203\n            ],\n            [\n              -81.93603515625,\n              26.41155054662258\n            ],\n            [\n              -80.00244140625,\n              26.41155054662258\n            ],\n            [\n              -80.00244140625,\n              25.12539261151203\n            ],\n            [\n              -81.93603515625,\n              25.12539261151203\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551d08a0e4b0256c24f42159","contributors":{"authors":[{"text":"Telis, Pamela A. patelis@usgs.gov","contributorId":140030,"corporation":false,"usgs":true,"family":"Telis","given":"Pamela A.","email":"patelis@usgs.gov","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":false,"id":543825,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xie, Zhixiao","contributorId":40336,"corporation":false,"usgs":true,"family":"Xie","given":"Zhixiao","email":"","affiliations":[],"preferred":false,"id":543826,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, Zhongwei","contributorId":34245,"corporation":false,"usgs":true,"family":"Liu","given":"Zhongwei","email":"","affiliations":[],"preferred":false,"id":543827,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Li, Yingru","contributorId":140031,"corporation":false,"usgs":false,"family":"Li","given":"Yingru","email":"","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":543828,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":543829,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70148082,"text":"70148082 - 2015 - Who invented the mule deer (<i>Odocoileus hemionus</i>)? On the authorship of the fraudulent 1812 journal of Charles Le Raye","interactions":[],"lastModifiedDate":"2015-05-19T08:52:39","indexId":"70148082","displayToPublicDate":"2015-04-01T10:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":890,"text":"Archives of Natural History","active":true,"publicationSubtype":{"id":10}},"title":"Who invented the mule deer (<i>Odocoileus hemionus</i>)? On the authorship of the fraudulent 1812 journal of Charles Le Raye","docAbstract":"<p>The captivity journal of Charles Le Raye was first published in 1812 as a chapter in <i>A topographical description of the state of Ohio, Indiana Territory, and Louisiana</i>, a volume authored anonymously by a late officer in the U. S. Army. Le Raye was purported to be a French Canadian fur trader who, as a captive of the Sioux, had travelled across broad portions of the Missouri and Yellowstone river drainages a few years before the Lewis and Clark expedition (1804-1806), and his account of the land, its people, and its natural resources was relied upon as a primary source by generations of natural historians, geographers, and ethnographers. Based directly on descriptions of animals in the published journal, the naturalist Constantine S. Rafinesque named seven new species of North American mammals, including what are currently recognized as the mule deer (<i>Odocoileus hemionus</i>) and a Great Plains subspecies of white-tailed deer (<i>O. virginianus macrourus</i>). Unfortunately, Le Raye never existed, and historical, geographical, and ethnographical evidence indicates that the journal is fraudulent. Determining the author of this work is relevant to identifying the sources used to construct it, which may help us to understand the real animals upon which Rafinesque's species are based. Traditionally, authorship of the volume was attributed to Jervis Cutler, but his role in composing the fraudulent Le Raye journal has been called into question. In this paper, I present additional evidence supporting the hypothesis that Jervis Cutler bears primary responsibility for the Le Raye journal and that he had the background, opportunity, and potential motive to author it.</p>","language":"English","publisher":"Society for the Bibliography of Natural History","publisherLocation":"London, England","doi":"10.3366/anh.2015.0277","usgsCitation":"Woodman, N., 2015, Who invented the mule deer (<i>Odocoileus hemionus</i>)? On the authorship of the fraudulent 1812 journal of Charles Le Raye: Archives of Natural History, v. 42, no. 1, p. 39-50, https://doi.org/10.3366/anh.2015.0277.","productDescription":"12 p.","startPage":"39","endPage":"50","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055690","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":300526,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"555c5ecae4b0a92fa7eacc24","contributors":{"authors":[{"text":"Woodman, Neal 0000-0003-2689-7373 nwoodman@usgs.gov","orcid":"https://orcid.org/0000-0003-2689-7373","contributorId":3547,"corporation":false,"usgs":true,"family":"Woodman","given":"Neal","email":"nwoodman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":547203,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70173616,"text":"70173616 - 2015 - Consequences of habitat change and resource selection specialization for population limitation in cavity-nesting birds","interactions":[],"lastModifiedDate":"2016-06-09T15:45:15","indexId":"70173616","displayToPublicDate":"2015-04-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Consequences of habitat change and resource selection specialization for population limitation in cavity-nesting birds","docAbstract":"<ol id=\"jpe12375-list-0001\" class=\"o-list--numbered o-list--paragraph\">\n<li>Resource selection specialization may increase vulnerability of populations to environmental change. One environmental change that may negatively impact some populations is the broad decline of quaking aspen&nbsp;<i>Populus tremuloides</i>, a preferred nest tree of cavity-nesting organisms who are commonly limited by nest-site availability. However, the long-term consequences of this habitat change for cavity-nesting bird populations are poorly studied.</li>\n<li>I counted densities of woody plants and eight cavity-nesting bird species over 29&nbsp;years in 15 high-elevation riparian drainages in Arizona, USA. I also studied nest-tree use and specialization over time based on 4946 nests across species.</li>\n<li>Aspen suffered a severe decline in availability over time, while understorey woody plants and canopy deciduous trees also declined. The decline of plants resulted from increased elk&nbsp;<i>Cervus canadensis</i>&nbsp;browsing linked to declining snowfall.</li>\n<li>Woodpeckers exhibited very high specialization (&gt;95% of nests) on aspen for nesting, and densities of all six species declined with aspen over time. Mountain chickadees&nbsp;<i>Poecile gambeli</i>and house wrens&nbsp;<i>Troglodytes aedon</i>&nbsp;exhibited increasingly less specialization on aspen. Chickadees strongly increased in density over time, despite a relatively high specialization on aspen. House wren densities declined moderately over time, but nest-box addition experiments demonstrated that nest-site availability was not limiting their population. House wren densities increased with understorey vegetation recovery in elk exclosures via increased generality of nest-site use, demonstrating that the decline in understorey vegetation on the broader landscape was the cause of their population decline.</li>\n<li><i>Synthesis and applications</i>. Management should target species that specialize in resource selection on a declining resource. Species with greater resource selection generalization can&nbsp;reduce population impacts of environmental change. Resource generalization can allow&nbsp;a species like the wren to take advantage of habitat refuges, such as those provided&nbsp;by the elk exclosures. Yet, resource generalization cannot offset the negative impacts&nbsp;of broad-scale declines in habitat quality on the landscape, as demonstrated by the general decline of wrens. Ultimately, aspen is an important habitat for biodiversity, and land management programmes that protect and aid recovery of aspen habitats may be critical.</li>\n</ol>","language":"English","publisher":"Wiley","doi":"10.1111/1365-2664.12375","usgsCitation":"Martin, T.E., 2015, Consequences of habitat change and resource selection specialization for population limitation in cavity-nesting birds: Journal of Applied Ecology, v. 52, no. 2, p. 475-485, https://doi.org/10.1111/1365-2664.12375.","productDescription":"11 p.","startPage":"475","endPage":"485","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049417","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323427,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-05","publicationStatus":"PW","scienceBaseUri":"575a9330e4b04f417c27512c","chorus":{"doi":"10.1111/1365-2664.12375","url":"http://dx.doi.org/10.1111/1365-2664.12375","publisher":"Wiley-Blackwell","authors":"Martin Thomas E.","journalName":"Journal of Applied Ecology","publicationDate":"12/5/2014","auditedOn":"3/28/2017"},"contributors":{"authors":[{"text":"Martin, Thomas E. 0000-0002-4028-4867 tmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-4028-4867","contributorId":1208,"corporation":false,"usgs":true,"family":"Martin","given":"Thomas","email":"tmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637405,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}