{"pageNumber":"86","pageRowStart":"2125","pageSize":"25","recordCount":10450,"records":[{"id":70201765,"text":"70201765 - 2019 - Modeling effects of crop production, energy development and conservation-grassland loss on avian habitat","interactions":[],"lastModifiedDate":"2019-01-29T12:37:17","indexId":"70201765","displayToPublicDate":"2019-01-09T12:37:12","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Modeling effects of crop production, energy development and conservation-grassland loss on avian habitat","docAbstract":"<p><span>Birds are essential components of most ecosystems and provide many services valued by society. However, many populations have undergone striking declines as their habitats have been lost or degraded by human activities. Terrestrial grasslands are vital habitat for birds in the North American Prairie Pothole Region (PPR), but grassland conversion and fragmentation from agriculture and energy-production activities have destroyed or degraded millions of hectares. Conservation grasslands can provide alternate habitat. In the United States, the Conservation Reserve Program (CRP) is the largest program maintaining conservation grasslands on agricultural lands, but conservation grasslands in the PPR have declined by over 1 million ha since the program’s zenith in 2007. We used an ecosystem-services model (InVEST) parameterized for the PPR to quantify grassland-bird habitat remaining in 2014 and to assess the degradation status of the remaining grassland-bird habitat as influenced by crop and energy (i.e., oil, natural gas, and wind) production. We compared our resultant habitat-quality ratings to grassland-bird abundance data from the North American Breeding Bird Survey to confirm that ratings were related to grassland-bird abundance. Of the grassland-bird habitat remaining in 2014, about 19% was degraded by crop production that occurred within 0.1 km of grassland habitats, whereas energy production degraded an additional 16%. We further quantified the changes in availability of grassland-bird habitat under various land-cover scenarios representing incremental losses (10%, 25%, 50%, 75%, and 100%) of CRP grasslands from 2014 levels. Our model identified 1 million ha (9%) of remaining grassland-bird habitat in the PPR that would be lost or degraded if all CRP conservation grasslands were returned to crop production. Grassland regions world-wide face similar challenges in maintaining avian habitat in the face of increasing commodity and energy production to sate the food and energy needs of a growing world population. Identifying ways to model the impacts of the tradeoff between food and energy production and wildlife production is an important step in creating solutions.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0198382","usgsCitation":"Shaffer, J.A., Roth, C.L., and Mushet, D.M., 2019, Modeling effects of crop production, energy development and conservation-grassland loss on avian habitat: PLoS ONE, v. 14, no. 1, p. 1-17, https://doi.org/10.1371/journal.pone.0198382.","productDescription":"e0198382; 17 p.","startPage":"1","endPage":"17","ipdsId":"IP-089961","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":468001,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0198382","text":"Publisher Index Page"},{"id":437609,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F72J69RM","text":"USGS data release","linkHelpText":"Modeling effects of crop production, energy development and conservation-grassland loss on avian habitat: dataset of BBS data, ND, with habitat rankings"},{"id":360786,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Prairie Pothole Region","volume":"14","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Shaffer, Jill A. 0000-0003-3172-0708 jshaffer@usgs.gov","orcid":"https://orcid.org/0000-0003-3172-0708","contributorId":3184,"corporation":false,"usgs":true,"family":"Shaffer","given":"Jill","email":"jshaffer@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":755277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roth, Cali L. 0000-0001-9077-2765 croth@usgs.gov","orcid":"https://orcid.org/0000-0001-9077-2765","contributorId":174422,"corporation":false,"usgs":true,"family":"Roth","given":"Cali","email":"croth@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":755278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":755279,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70259300,"text":"70259300 - 2019 - Geochemical and petrological diversity of mafic magmas from Mount St. Helens","interactions":[],"lastModifiedDate":"2024-10-03T13:27:29.275689","indexId":"70259300","displayToPublicDate":"2019-01-03T08:16:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1336,"text":"Contributions to Mineralogy and Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical and petrological diversity of mafic magmas from Mount St. Helens","docAbstract":"<p><span>Quaternary eruptive products in the Cascade arc include a variety of different basalt types. At Mount St. Helens (MSH), the most active volcano in the Cascades throughout the last 35&nbsp;ka, three different mafic endmembers erupted at the end of the Castle Creek period (1900–1700&nbsp;years B.P.): (1) high-field strength element (HFSE)-rich basalt enriched in K, Ti, P, and incompatible trace elements; (2) low-K olivine tholeiite (LKOT) with lower amounts of incompatible trace elements; and (3) calc-alkaline (arc-type) basaltic andesite with a typical subduction signature, i.e., enrichment in fluid-mobile large ion lithophile elements (LILE) relative to immobile high-field strength elements (HFSE). Each type has compositions projecting backwards to more primitive endmembers in the Cascades. Single units encompassing basaltic-to-basaltic andesitic compositions with intermediate trace-element abundances form two almost continuous trends towards basaltic andesite. These trends are interpreted to result from assimilation of pre-existing, more evolved, calc-alkaline material (and in one case mixing of different mafic magma types) during migration of the magmas through the crust. Most of the erupted basalts are porphyritic (10–30%) with an assemblage dominated by olivine and plagioclase and show disequilibrium textures preventing detailed reconstruction of mantle melting processes. Although typical hydrous arc basalt produced by flux melting in the mantle is absent in the eruptive products of MSH, arc-type basaltic andesite suggests its presence at depth. LKOT magmas are interpreted as decompression melts from the upper mantle, whereas HFSE-rich basalts are likely derived from the water-poor periphery of the main flux melting regime, potentially tapping a trace-element-enriched source. Primitive spinel compositions and whole-rock trace-element variations indicate at least two distinct, relatively fertile lherzolite sources for these two basalt types. Weak crustal zones associated with an old fracture system beneath MSH likely provide conduits for fast and isolated ascent of distinct batches of magma, bypassing the lower crustal mush zone. The eruption of the basalts through the upper crustal magma system and main edifice is consistent with an offset plumbing system suggested by geophysical data.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00410-018-1544-4","usgsCitation":"Wanke, M., Bachmann, O., von Quadt Wykradt-Huchtenbruck, A., Vennemann, T.W., and Clynne, M.A., 2019, Geochemical and petrological diversity of mafic magmas from Mount St. Helens: Contributions to Mineralogy and Petrology, v. 174, 10, 25 p., https://doi.org/10.1007/s00410-018-1544-4.","productDescription":"10, 25 p.","ipdsId":"IP-088841","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":468006,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1007/s00410-018-1544-4","text":"External Repository"},{"id":462528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Mount St. Helens","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.2986667033363,\n              46.29637187463061\n            ],\n            [\n              -122.2986667033363,\n              46.10268781168372\n            ],\n            [\n              -122.06937994134731,\n              46.10268781168372\n            ],\n            [\n              -122.06937994134731,\n              46.29637187463061\n            ],\n            [\n              -122.2986667033363,\n              46.29637187463061\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"174","noUsgsAuthors":false,"publicationDate":"2019-01-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Wanke, Maren","contributorId":344827,"corporation":false,"usgs":false,"family":"Wanke","given":"Maren","email":"","affiliations":[{"id":27710,"text":"ETH Zurich, Switzerland","active":true,"usgs":false}],"preferred":false,"id":914828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bachmann, Olivier","contributorId":213379,"corporation":false,"usgs":false,"family":"Bachmann","given":"Olivier","email":"","affiliations":[{"id":12483,"text":"ETH Zurich","active":true,"usgs":false}],"preferred":false,"id":914829,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"von Quadt Wykradt-Huchtenbruck, Albrecht","contributorId":344828,"corporation":false,"usgs":false,"family":"von Quadt Wykradt-Huchtenbruck","given":"Albrecht","email":"","affiliations":[{"id":27710,"text":"ETH Zurich, Switzerland","active":true,"usgs":false}],"preferred":false,"id":914831,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vennemann, Torsten W.","contributorId":190168,"corporation":false,"usgs":false,"family":"Vennemann","given":"Torsten","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":914832,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clynne, Michael A. 0000-0002-4220-2968 mclynne@usgs.gov","orcid":"https://orcid.org/0000-0002-4220-2968","contributorId":2032,"corporation":false,"usgs":true,"family":"Clynne","given":"Michael","email":"mclynne@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":914830,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70201750,"text":"70201750 - 2019 - Eruption and fountaining dynamics of selected 1985–1986 high fountaining episodes at Kīlauea volcano, Hawai'i, from quantitative vesicle microtexture analysis","interactions":[],"lastModifiedDate":"2019-01-29T14:07:40","indexId":"70201750","displayToPublicDate":"2019-01-01T14:07:35","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Eruption and fountaining dynamics of selected 1985–1986 high fountaining episodes at Kīlauea volcano, Hawai'i, from quantitative vesicle microtexture analysis","docAbstract":"<p><span>Tephra&nbsp;from the early Hawaiian fountaining episodes of the ongoing eruption of Pu'u 'Ō'ō in the East&nbsp;Rift Zone&nbsp;(ERZ) of Kīlauea provides an opportunity to study the vesicle microtextures of pyroclasts erupted from a single vent over a prolonged period of time. We report the results of microtextural analysis of pyroclasts from five of Pu'u 'Ō'ō's high (&gt;200 m) Hawaiian fountaining episodes (episodes 32, 37, 40, 44 and 45) erupted during 1985–1986. This analysis was carried out to constrain the parameters that led to large variations in fountain height at Pu'u 'Ō'o, and the extent to which pyroclast residence times in the fountain modified microtextures. Our results confirm the finding of&nbsp;</span>Stovall et al., 2011<span>,&nbsp;</span>Stovall et al., 2012<span>&nbsp;that pyroclasts from a single Hawaiian fountain can vary greatly in texture (from bubbly to foamy), and have vesicle volume densities (N</span><sup>m</sup><sub>v</sub><span>) and vesicle to melt ratios (V</span><sub>G</sub><span>/V</span><sub>L</sub><span>) that vary by an order of magnitude. This range in vesicle texture and population is due to extensive growth and coalescence of vesicles within the fountain after fragmentation. Only one pyroclast from four of five episodes was found to have textures interpreted as indicative of the vesicle population near the moment of fragmentation: bubbly texture, high density (typically &gt;500 kg m</span><sup>−3</sup><span>), high N</span><sup>m</sup><sub>v</sub><span>&nbsp;(2.2 × 10</span><sup>6</sup><span>&nbsp;to 4.4 × 10</span><sup>6</sup><span>), and low V</span><sub>G</sub><span>/V</span><sub>L</sub><span>&nbsp;of 2.06 to 4.65. We demonstrate a linear correlation between Δ(V</span><sub>G</sub><span>/V</span><sub>L</sub><span>) and peak fountain height across a range of Hawaiian fountains from Kilauea. This correlation could be used to infer peak heights of unobserved Hawaiian fountaining eruptions after further testing using well-recorded events.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2018.11.011","usgsCitation":"Holt, S.J., Carey, R.J., Houghton, B.F., Orr, T.R., McPhie, J., and Feig, S., 2019, Eruption and fountaining dynamics of selected 1985–1986 high fountaining episodes at Kīlauea volcano, Hawai'i, from quantitative vesicle microtexture analysis: Journal of Volcanology and Geothermal Research, v. 369, p. 21-34, https://doi.org/10.1016/j.jvolgeores.2018.11.011.","productDescription":"14 p.","startPage":"21","endPage":"34","ipdsId":"IP-093103","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":460531,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2018.11.011","text":"Publisher Index Page"},{"id":360795,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kīlauea volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.31646728515625,\n              19.263507501734075\n            ],\n            [\n              -155.03562927246094,\n              19.263507501734075\n            ],\n            [\n              -155.03562927246094,\n              19.46432633709043\n            ],\n            [\n              -155.31646728515625,\n              19.46432633709043\n            ],\n            [\n              -155.31646728515625,\n              19.263507501734075\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"369","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Holt, S. J.","contributorId":211902,"corporation":false,"usgs":false,"family":"Holt","given":"S.","email":"","middleInitial":"J.","affiliations":[{"id":38349,"text":"University of Tasmania, Australia","active":true,"usgs":false}],"preferred":false,"id":755183,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carey, R. J. 0000-0003-2015-6419","orcid":"https://orcid.org/0000-0003-2015-6419","contributorId":211903,"corporation":false,"usgs":false,"family":"Carey","given":"R.","email":"","middleInitial":"J.","affiliations":[{"id":38349,"text":"University of Tasmania, Australia","active":true,"usgs":false}],"preferred":false,"id":755184,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Houghton, B. F.","contributorId":211904,"corporation":false,"usgs":false,"family":"Houghton","given":"B.","email":"","middleInitial":"F.","affiliations":[{"id":38350,"text":"University of Hawaii at Manoa, USA","active":true,"usgs":false}],"preferred":false,"id":755185,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Orr, Tim R. 0000-0003-1157-7588 torr@usgs.gov","orcid":"https://orcid.org/0000-0003-1157-7588","contributorId":149803,"corporation":false,"usgs":true,"family":"Orr","given":"Tim","email":"torr@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":755182,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McPhie, J.","contributorId":211905,"corporation":false,"usgs":false,"family":"McPhie","given":"J.","affiliations":[{"id":38349,"text":"University of Tasmania, Australia","active":true,"usgs":false}],"preferred":false,"id":755186,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Feig, S.","contributorId":211906,"corporation":false,"usgs":false,"family":"Feig","given":"S.","email":"","affiliations":[{"id":38349,"text":"University of Tasmania, Australia","active":true,"usgs":false}],"preferred":false,"id":755187,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70262578,"text":"70262578 - 2019 - Erratics and other evidence of late Wisconsin Missoula outburst floods in lower Wenatchee and Columbia valleys, Washington","interactions":[],"lastModifiedDate":"2025-01-21T18:22:01.632114","indexId":"70262578","displayToPublicDate":"2019-01-01T11:58:14","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2900,"text":"Northwest Science","onlineIssn":"2161-9859","printIssn":"0029-344X","active":true,"publicationSubtype":{"id":10}},"title":"Erratics and other evidence of late Wisconsin Missoula outburst floods in lower Wenatchee and Columbia valleys, Washington","docAbstract":"<p id=\"ID0EF\" class=\"first\">The Pleistocene Missoula floods through eastern and central Washington are by peak flow rate (discharge) the greatest freshwater cataclysms known on Earth. Newly explored features along the Wenatchee reach of Columbia valley give new evidence and revise earlier interpretations of size, frequency, and routing of megafloods.</p><p id=\"ID0EG\">Crystalline-rock erratics derived far northeast lie scattered about the sandstone hills of lower Wenatchee valley and adjacent Columbia valley up to 495 m altitude, 320 m above Columbia River. They can only have been ice-rafted by flood(s) running down the Columbia. Before the late Wisconsin Okanogan lobe of Cordilleran ice blocked the Columbia, at least one monstrous Missoula flood poured down the valley past Wenatchee and backflooded Wenatchee valley.</p><p id=\"ID0EH\">Rhythmically bedded sandy silt in Columbia valley between Trinidad and Wenatchee records repeated silt-rich backfloods up the Columbia from Quincy basin—after Okanogan-lobe ice had blocked the Columbia upvalley. Rhythmically graded silt beds in Wenatchee valley at Dryden containing Columbia-derived dropstones record ten Missoula backfloods up the valley.</p><p id=\"ID0EI\">Thick silt farther up Wenatchee valley between Peshastin and Leavenworth had been thought deposits of a long-lived lake, dammed supposedly by the Malaga landslide. But the heights and distribution of provable lake beds now make Moses Coulee bar the only viable dam—and only up to altitude 275 m. The silt above Dryden lying at 315–385 m altitude must also have been laid by Missoula floods.</p>","language":"English","publisher":"Northwest Scientific Association (NWSA)","doi":"https://doi.org/10.3955/046.092.0503","usgsCitation":"Waitt, R.B., Long, W., and Stanton, K.M., 2019, Erratics and other evidence of late Wisconsin Missoula outburst floods in lower Wenatchee and Columbia valleys, Washington: Northwest Science, v. 92, no. 5, p. 318-337, https://doi.org/https://doi.org/10.3955/046.092.0503.","productDescription":"20 p.","startPage":"318","endPage":"337","ipdsId":"IP-092834","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":481107,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3955/046.092.0503","text":"Publisher Index Page"},{"id":480850,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Columbia River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.67315675479762,\n              51.24819817380177\n            ],\n            [\n              -126.99575275913864,\n              51.24819817380177\n            ],\n            [\n              -126.99575275913864,\n              43.82459813975919\n            ],\n            [\n              -111.67315675479762,\n              43.82459813975919\n            ],\n            [\n              -111.67315675479762,\n              51.24819817380177\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"92","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Waitt, Richard B. 0000-0002-6392-5604 waitt@usgs.gov","orcid":"https://orcid.org/0000-0002-6392-5604","contributorId":2343,"corporation":false,"usgs":true,"family":"Waitt","given":"Richard","email":"waitt@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":924603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, William","contributorId":242920,"corporation":false,"usgs":false,"family":"Long","given":"William","affiliations":[{"id":48582,"text":"(deceased)","active":true,"usgs":false}],"preferred":false,"id":924604,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stanton, Kelsay M.","contributorId":242919,"corporation":false,"usgs":false,"family":"Stanton","given":"Kelsay","email":"","middleInitial":"M.","affiliations":[{"id":48581,"text":"Wenatchee Valley College","active":true,"usgs":false}],"preferred":false,"id":924605,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70227889,"text":"70227889 - 2019 - Improving conservation policy with genomics: A guide to integrating adaptive potential into U.S. Endangered Species Act decisions for conservation practitioners and geneticists","interactions":[],"lastModifiedDate":"2022-02-01T16:53:35.256014","indexId":"70227889","displayToPublicDate":"2019-01-01T10:44:58","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Improving conservation policy with genomics: A guide to integrating adaptive potential into U.S. Endangered Species Act decisions for conservation practitioners and geneticists","docAbstract":"Rapid environmental change makes adaptive potential—the capacity of populations to evolve genetically based changes in response to selection—more important than ever for long-term persistence of at-risk species. At the same time, advances in genomics provide unprecedented power to test for and quantify adaptive potential, enabling consideration of adaptive potential in estimates of extinction risk and laws protecting endangered species. The U.S. Endangered Species Act (ESA) is one of the most powerful environmental laws in the world, but so far, the full potential of genomics in ESA listing and recovery decisions has not been realized by the federal agencies responsible for implementing the ESA or by conservation geneticists. The goal of our paper is to chart a path forward for integrating genomics into ESA decision making to facilitate full consideration of adaptive potential in evaluating long-term risk of extinction. For policy makers, managers, and other conservation practitioners, we outline why adaptive potential is important for population persistence and what genomic tools are available for quantifying it. For conservation geneticists, we discuss how federal agencies can integrate information on the effect of adaptive potential on extinction risk—and the related uncertainty—into decisions, and suggest next steps for advancing understanding of the effect of adaptive potential on extinction risk. The mechanisms and consequences of adaptation are incredibly complex, and we may never have a complete understanding of adaptive potential for any organism. Nevertheless, we argue that the best available evidence regarding adaptive potential should be incorporated by federal agencies into modeling and decision making processes now, while at the same time conserving genome-wide variation and striving for a deeper understanding of adaptive potential and its effects on population persistence to improve decision-making into the future.","language":"English","publisher":"Springer","doi":"10.1007/s10592-018-1096-1","usgsCitation":"Funk, W., Forester, B.R., Converse, S.J., Darst, C., and Morey, S., 2019, Improving conservation policy with genomics: A guide to integrating adaptive potential into U.S. Endangered Species Act decisions for conservation practitioners and geneticists: Conservation Genetics, v. 20, p. 115-134, https://doi.org/10.1007/s10592-018-1096-1.","productDescription":"20 p.","startPage":"115","endPage":"134","ipdsId":"IP-093259","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395213,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","noUsgsAuthors":false,"publicationDate":"2018-08-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Funk, W.C.","contributorId":29934,"corporation":false,"usgs":true,"family":"Funk","given":"W.C.","email":"","affiliations":[],"preferred":false,"id":832470,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Forester, Brenna R.","contributorId":261215,"corporation":false,"usgs":false,"family":"Forester","given":"Brenna","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":832471,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":832472,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Darst, Catherine","contributorId":273035,"corporation":false,"usgs":false,"family":"Darst","given":"Catherine","email":"","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":832473,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morey, Steve","contributorId":147048,"corporation":false,"usgs":false,"family":"Morey","given":"Steve","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":832474,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70203793,"text":"70203793 - 2019 - Patterns, pace and processes of water-quality variability: Examples from a long-studied estuary","interactions":[],"lastModifiedDate":"2019-06-13T08:51:18","indexId":"70203793","displayToPublicDate":"2019-01-01T08:47:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Patterns, pace and processes of water-quality variability: Examples from a long-studied estuary","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Environmental time series have rich information content that is invaluable for measuring and understanding changes over time and guiding policies to manage change. I extracted information from measurements of 10 water‐quality constituents in upper San Francisco Bay from 1975 to 2016, one of the longest observational records in a U.S. estuary. Changes were detected at every time scale captured by monthly sampling. Long‐term trends included increased ammonium (+53%), nitrate + nitrate (+50%), silicate (+14%), Secchi depth (+42%), and decreased chlorophyll<span>&nbsp;</span><i>a</i><span>&nbsp;</span>(Chl<span>&nbsp;</span><i>a</i>) (−74%) and suspended particulate matter (−45%). Changes at the decadal scale included abrupt shifts (Chl<span>&nbsp;</span><i>a</i>, nitrate + nitrite) and oscillations between shorter trends of increase and decrease (Secchi depth, phosphate). Long‐term trends were not expressed equally across all seasons, and seasonal patterns of change varied across constituents. These examples illustrate key features of environmental variability at the land–sea interface: (1) water‐quality components change continually at time scales from months to decades; (2) patterns of seasonal, multiyear, and multidecadal change are complex and vary across constituents; (3) primary drivers of change are freshwater inflow, the master regulator of estuarine dynamics, and human activities such as river damming, water diversions, wastewater discharge, environmental policies, and species introductions; (4) extracting the full information content of time series requires multiple analyses, each revealing a different layer of insight into how changes develop over time; (5) water‐quality variability is nonstationary, so future changes cannot be forecast reliably; (6) repeated observation is an essential method of Earth system science with applications in the design and performance measures of environmental policies.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/lno.10958","usgsCitation":"Cloern, J., 2019, Patterns, pace and processes of water-quality variability: Examples from a long-studied estuary: Limnology and Oceanography, v. 64, no. S1, p. 192-208, https://doi.org/10.1002/lno.10958.","productDescription":"17 p.","startPage":"192","endPage":"208","ipdsId":"IP-094217","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":468012,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.10958","text":"Publisher Index Page"},{"id":364627,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364615,"type":{"id":15,"text":"Index Page"},"url":"https://aslopubs.onlinelibrary.wiley.com/doi/full/10.1002/lno.10958"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.0084228515625,\n              37.22158045838649\n            ],\n            [\n              -121.34948730468749,\n              37.22158045838649\n            ],\n            [\n              -121.34948730468749,\n              38.26406296833961\n            ],\n            [\n              -123.0084228515625,\n              38.26406296833961\n            ],\n            [\n              -123.0084228515625,\n              37.22158045838649\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"64","issue":"S1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Cloern, James 0000-0002-5880-6862 jecloern@usgs.gov","orcid":"https://orcid.org/0000-0002-5880-6862","contributorId":216202,"corporation":false,"usgs":true,"family":"Cloern","given":"James","email":"jecloern@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":764149,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70260142,"text":"70260142 - 2019 - Volcanic hazards in Alaska’s National Parks","interactions":[],"lastModifiedDate":"2024-10-30T18:34:06.641949","indexId":"70260142","displayToPublicDate":"2019-01-01T08:17:23","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3014,"text":"Park Science","active":true,"publicationSubtype":{"id":10}},"title":"Volcanic hazards in Alaska’s National Parks","docAbstract":"<p>There are over 100 volcanoes in Alaska, 54 of which are considered historically active. A historically active volcano is one that fits one of the following criteria: a documented or strongly suspected eruption since the year 1700, persistent fumaroles near boiling point, significant deformation with a volcanic cause, or an earthquake swarm with a volcanic cause (Cameron and Schaefer, 2016). Alaska’s National Parks, Preserves, and Monuments contain a total of 14 historically active volcanoes (Fig. 1). There are numerous other volcanoes within Alaska’s National Parks, Preserves, and Monuments that are not considered historically active but which could erupt at some point in the future. In the past 100 years, there have been seven confirmed eruptions from historically active volcanoes within Alaska’s National Parks, Preserves, and Monuments. The Alaska Volcano Observatory (AVO) monitors and conducts research on volcanoes in Alaska in order to better understand volcanic processes and determine the likelihood of future volcanic hazards, with a primary goal of informing the public and local, state, and federal entities about volcanic hazards and impending volcanic activity. Volcanic hazards in Alaska’s National Parks, Preserves, and Monuments include both proximal hazards (within 30 km or 19 mi of the vent) and distal hazards that are capable of impacting areas at the regional, national, or international scale.</p>","language":"English","publisher":"National Park Service","usgsCitation":"Mulliken, K., Wallace, K.L., Cameron, C., and Waythomas, C.F., 2019, Volcanic hazards in Alaska’s National Parks: Park Science, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-101898","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":463317,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":463283,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://home.nps.gov/articles/aps-18-1-7.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -136.59940618859937,\n              61.76683943398939\n            ],\n            [\n              -168.06591204889384,\n              61.76683943398939\n            ],\n            [\n              -168.06591204889384,\n              52.24665838055142\n            ],\n            [\n              -139.73883844629714,\n              58.220906017796125\n            ],\n            [\n              -136.59940618859937,\n              61.76683943398939\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mulliken, Katherine","contributorId":345651,"corporation":false,"usgs":false,"family":"Mulliken","given":"Katherine","affiliations":[{"id":39689,"text":"Alaska Division of Geological & Geophysical Surveys","active":true,"usgs":false}],"preferred":false,"id":917171,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wallace, Kristi L. 0000-0002-0962-048X kwallace@usgs.gov","orcid":"https://orcid.org/0000-0002-0962-048X","contributorId":3454,"corporation":false,"usgs":true,"family":"Wallace","given":"Kristi","email":"kwallace@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917172,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cameron, Cheryl","contributorId":345652,"corporation":false,"usgs":false,"family":"Cameron","given":"Cheryl","affiliations":[{"id":39689,"text":"Alaska Division of Geological & Geophysical Surveys","active":true,"usgs":false}],"preferred":false,"id":917173,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waythomas, Christopher F. 0000-0002-3898-272X cwaythomas@usgs.gov","orcid":"https://orcid.org/0000-0002-3898-272X","contributorId":640,"corporation":false,"usgs":true,"family":"Waythomas","given":"Christopher","email":"cwaythomas@usgs.gov","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917174,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204351,"text":"70204351 - 2019 - Public acceptability of development in the Northern Forest of Vermont, USA – the influence of wildlife information, recreation involvement, and demographic characteristics","interactions":[],"lastModifiedDate":"2019-07-18T14:19:12","indexId":"70204351","displayToPublicDate":"2018-12-17T14:17:28","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Public acceptability of development in the Northern Forest of Vermont, USA – the influence of wildlife information, recreation involvement, and demographic characteristics","docAbstract":"<div class=\"abstract toc-section\"><p>Increasing development such as roads and houses will alter future landscapes and result in biological, social, and economic trade-offs. Managing development requires information on the public’s acceptability of development and understanding which factors shape acceptability. In this study, we examined three questions: 1) What is the public’s acceptability of development? 2) Is acceptability of development influenced by wildlife information? and 3) Is the maximum amount of acceptable development influenced by views about wildlife, involvement in outdoor recreation, and demographic factors? We conducted a visual-preference survey of 9,000 households in Vermont, USA that asked about acceptable levels of development, acceptability of wildlife, involvement in recreation, and individual and town demographics. The survey response rate was 44%. Maximum acceptable condition (MAC) for development was 41 houses/km<sup>2</sup><span>&nbsp;</span>and not meaningfully influenced by broader consequences of development on seven common wildlife species. MAC was influenced by views on individual species, including bear and coyote, but not by other species such as deer, fox, and bobcat. Respondents with a positive attitude toward bear favored less development, whereas the opposite relationship existed for coyote. Similarly, MAC was negatively influenced by involvement in birding and hunting, but not by other common recreational activities. Among demographic factors, respondents that were younger and not born in Vermont were more accepting of development. Population density also positively influenced development acceptability. Results provide measures of the public’s acceptability of development that can help guide decision-making about development, wildlife, and recreation management.</p></div>","language":"English","publisher":"PLoS One","doi":"10.1371/journal.pone.0203515","usgsCitation":"Espenshade, J., Murdoch, J., Donovan, T.M., Manning, R., Bettigale, C., and Austin, J., 2019, Public acceptability of development in the Northern Forest of Vermont, USA – the influence of wildlife information, recreation involvement, and demographic characteristics: PLoS ONE, v. 13, no. 12, e0203515, https://doi.org/10.1371/journal.pone.0203515.","productDescription":"e0203515","ipdsId":"IP-079382","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468024,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0203515","text":"Publisher Index 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 \"}}]}","volume":"13","issue":"12","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Espenshade, Jessica","contributorId":217263,"corporation":false,"usgs":false,"family":"Espenshade","given":"Jessica","email":"","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":766474,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murdoch, James","contributorId":217264,"corporation":false,"usgs":false,"family":"Murdoch","given":"James","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":766475,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Donovan, Therese M. 0000-0001-8124-9251 tdonovan@usgs.gov","orcid":"https://orcid.org/0000-0001-8124-9251","contributorId":204296,"corporation":false,"usgs":true,"family":"Donovan","given":"Therese","email":"tdonovan@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":766473,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Manning, Robert","contributorId":217265,"corporation":false,"usgs":false,"family":"Manning","given":"Robert","email":"","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":766476,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bettigale, Charles","contributorId":217266,"corporation":false,"usgs":false,"family":"Bettigale","given":"Charles","email":"","affiliations":[{"id":37550,"text":"Yale University","active":true,"usgs":false}],"preferred":false,"id":766477,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Austin, John","contributorId":217267,"corporation":false,"usgs":false,"family":"Austin","given":"John","email":"","affiliations":[{"id":39587,"text":"Vermont Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":766478,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70228087,"text":"70228087 - 2019 - Effects of air exposure during simulated catch-and-release angling on survival and fitness of Yellowstone Cutthroat Trout","interactions":[],"lastModifiedDate":"2022-02-03T12:59:46.562972","indexId":"70228087","displayToPublicDate":"2018-12-14T06:53:12","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Effects of air exposure during simulated catch-and-release angling on survival and fitness of Yellowstone Cutthroat Trout","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Concerns have been raised regarding the practice of exposing fish to air during catch-and-release (C&amp;R) angling. The purpose of this study was to evaluate the effects of air exposure on short- and long-term survival and progeny production of Yellowstone Cutthroat Trout<span>&nbsp;</span><i>Oncorhynchus clarkii bouvieri</i>. Prespawn adults were sampled at a weir during upstream migration in 2016 and 2017, exposed to a simulated angling event of 102&nbsp;s, and then exposed to air for a randomly selected duration of 0, 30, or 60&nbsp;s. An additional control group was added during 2017 in which fish were not exposed to simulated angling or air. In total, 1,519 fish were sampled in 2016, and 744 fish were sampled in 2017. Additionally, age-0 fish (2016:<span>&nbsp;</span><i>n</i>&nbsp;=&nbsp;2,924; 2017:<span>&nbsp;</span><i>n</i>&nbsp;=&nbsp;1,492) were collected to evaluate the effects of air exposure on the production of progeny. No effect of angling itself or of angling and air exposure was observed on short-term (≤60&nbsp;d posttreatment) or long-term (&gt;1&nbsp;year posttreatment) survival of adults, with one exception. During 2016, fish that had been air exposed for 60&nbsp;s had a statistically higher short-term survival rate than fish that received no air exposure. Air exposure had no effect on the proportion of fish that successfully spawned. Regression analysis revealed that neither angling nor air exposure affected progeny production. Considering that much of the literature, as well as this study, reports little to no influence of air exposure on salmonid mortality or reproductive success, it seems highly unlikely that air exposure of less than 60&nbsp;s during C&amp;R angling would have negative population-level effects.</p></div></div>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10262","usgsCitation":"Roth, C., Schill, D., Quist, M.C., High, B., Campbell, M.R., and Vu, N., 2019, Effects of air exposure during simulated catch-and-release angling on survival and fitness of Yellowstone Cutthroat Trout: North American Journal of Fisheries Management, v. 39, no. 1, p. 191-204, https://doi.org/10.1002/nafm.10262.","productDescription":"14 p.","startPage":"191","endPage":"204","ipdsId":"IP-096096","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395335,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.73071289062499,\n              43.40504748787035\n            ],\n            [\n              -111.082763671875,\n              43.40504748787035\n            ],\n            [\n              -111.082763671875,\n              44.378839759088585\n            ],\n            [\n              -112.73071289062499,\n              44.378839759088585\n            ],\n            [\n              -112.73071289062499,\n              43.40504748787035\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"39","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-12-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Roth, Curtis J.","contributorId":274497,"corporation":false,"usgs":false,"family":"Roth","given":"Curtis J.","affiliations":[{"id":56023,"text":"idfg","active":true,"usgs":false}],"preferred":false,"id":833052,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schill, Daniel J.","contributorId":274498,"corporation":false,"usgs":false,"family":"Schill","given":"Daniel J.","affiliations":[{"id":56023,"text":"idfg","active":true,"usgs":false}],"preferred":false,"id":833053,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Quist, Michael C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":207142,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":833051,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"High, Brett","contributorId":274499,"corporation":false,"usgs":false,"family":"High","given":"Brett","affiliations":[{"id":56023,"text":"idfg","active":true,"usgs":false}],"preferred":false,"id":833054,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Campbell, Matthew R.","contributorId":274501,"corporation":false,"usgs":false,"family":"Campbell","given":"Matthew","email":"","middleInitial":"R.","affiliations":[{"id":56023,"text":"idfg","active":true,"usgs":false}],"preferred":false,"id":833055,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vu, Ninh V.","contributorId":274503,"corporation":false,"usgs":false,"family":"Vu","given":"Ninh V.","affiliations":[{"id":39900,"text":"PSMFC","active":true,"usgs":false}],"preferred":false,"id":833056,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70203269,"text":"70203269 - 2019 - Seismology with dark data: Image-based processing of analog records using machine learning for the rangely earthquake control experiment","interactions":[],"lastModifiedDate":"2019-05-02T08:36:02","indexId":"70203269","displayToPublicDate":"2018-12-12T07:13:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Seismology with dark data: Image-based processing of analog records using machine learning for the rangely earthquake control experiment","docAbstract":"<p>Before the digital era, seismograms were recorded in analog form and read manually by analysts. The digital era represents only about 25% of the total time span of instrumental seismology. Analog data provide important constraints on earthquake processes over the long term, and in some cases are the only data available. The media on which analog data are recorded degrades with time and there is an urgent need for cost‐effective approaches to preserve the information they contain. In this study, we work directly with images by constructing a set of image‐based methods for earthquake processing, rather than pursue the usual approach of converting analog data to vector time series. We demonstrate this approach on one month of continuous Develocorder films from the Rangely earthquake control experiment run by the U.S. Geological Survey (USGS). We scan the films into images and compress these into low‐dimensional feature vectors as input to a classifier that separates earthquakes from noise in a defined feature space. We feed the detected event images into a short‐term average/long‐term average (STA/LTA) picker, a grid‐search associator, and a 2D image correlator to measure both absolute arrival times and relative arrival‐time differences between events. We use these measurements to locate the earthquakes using hypoDD. In the month that we studied, we identified 40 events clustered near the injection wells. In the original study,<span>&nbsp;</span><a class=\"link link-ref link-reveal xref-bibr\" data-open=\"rf17\">Raleigh<span>&nbsp;</span><i>et&nbsp;al.</i><span>&nbsp;</span>(1976)</a><span>&nbsp;</span>identified only 32 events during the same period. Scanning without vectorizing analog seismograms represents an attractive approach to archiving these perishable data. We demonstrated that it is possible to carry out precision seismology directly on such images. Our approach has the potential for wide application to analog seismograms.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220180298","usgsCitation":"Wang, K., Ellsworth, W., Beroza, G.C., Williams, G., Zhang, M., Schroeder, D., and Rubinstein, J.L., 2019, Seismology with dark data: Image-based processing of analog records using machine learning for the rangely earthquake control experiment: Seismological Research Letters, v. 90, no. 2A, p. 553-562, https://doi.org/10.1785/0220180298.","productDescription":"10 p.","startPage":"553","endPage":"562","ipdsId":"IP-101838","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":363470,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"90","issue":"2A","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Kaiwen","contributorId":215275,"corporation":false,"usgs":false,"family":"Wang","given":"Kaiwen","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":761970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellsworth, William L. 0000-0001-8378-4979","orcid":"https://orcid.org/0000-0001-8378-4979","contributorId":194691,"corporation":false,"usgs":true,"family":"Ellsworth","given":"William L.","affiliations":[],"preferred":false,"id":761971,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beroza, Gregory C.","contributorId":191201,"corporation":false,"usgs":false,"family":"Beroza","given":"Gregory","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":761972,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Gordon","contributorId":215276,"corporation":false,"usgs":false,"family":"Williams","given":"Gordon","affiliations":[{"id":37180,"text":"UC Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":761973,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhang, Miao","contributorId":215277,"corporation":false,"usgs":false,"family":"Zhang","given":"Miao","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":761974,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schroeder, Dustin","contributorId":215278,"corporation":false,"usgs":false,"family":"Schroeder","given":"Dustin","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":761975,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rubinstein, Justin L. 0000-0003-1274-6785","orcid":"https://orcid.org/0000-0003-1274-6785","contributorId":206551,"corporation":false,"usgs":true,"family":"Rubinstein","given":"Justin","email":"","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":761969,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70201539,"text":"70201539 - 2019 - Pulsed salmonfly emergence and its potential contribution to terrestrial detrital pools","interactions":[],"lastModifiedDate":"2019-01-28T08:29:07","indexId":"70201539","displayToPublicDate":"2018-12-06T13:08:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5453,"text":"Food Webs","active":true,"publicationSubtype":{"id":10}},"title":"Pulsed salmonfly emergence and its potential contribution to terrestrial detrital pools","docAbstract":"<p><span>Adult&nbsp;aquatic insects&nbsp;are a globally important subsidy in&nbsp;terrestrial food webs. However, our understanding of their importance is largely limited to studies that measure&nbsp;predation&nbsp;of live insects by terrestrial&nbsp;predators. Yet the flux of adult aquatic insects to terrestrial detrital pools may also be an important subsidy pathway, particularly in cases where insect production exceeds the consumption capacity of predators. We used empirical measures of giant salmonfly (</span><span><i>Pteronarcys</i>&nbsp;californica</span><span>) emergence from 37 sites to model potential detrital deposition in nearshore riparian soil food webs. Typically, giant salmonflies emerge&nbsp;</span><i>en masse</i><span>&nbsp;for one week each year, and can be locally superabundant. Median detrital deposition by salmonflies ranged between 0.4 and 0.7 gC, 0.04 to 0.09 gN, and 0.002 to 0.005 gP/m</span><sup>2</sup><span>/yr, depending on whether 25% or 100% of available salmonflies entered detrital pools. For a small number of sites with large salmonfly populations, deposition equaled or exceeded&nbsp;annual&nbsp;secondary production of terrestrial insects, annual atmospheric N deposition, and annual atmospheric P deposition. The fact that these values rival yearly&nbsp;nutrient&nbsp;budgets is particularly striking because giant salmonfly deposition represents a subsidy from a single species emerging over a single week. The consequences of this deposition in terrestrial food webs are largely unknown, but it is likely that salmonflies can have important effects on nearshore soil nutrient budgets similar in magnitude to those of other important&nbsp;ecosystem&nbsp;processes.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.fooweb.2018.e00105","usgsCitation":"Wesner, J., Walters, D., and Zuellig, R.E., 2019, Pulsed salmonfly emergence and its potential contribution to terrestrial detrital pools: Food Webs, v. 18, p. 1-7, https://doi.org/10.1016/j.fooweb.2018.e00105.","productDescription":"e00105; 7 p.","startPage":"1","endPage":"7","ipdsId":"IP-099294","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":468036,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.fooweb.2018.e00105","text":"Publisher Index Page"},{"id":360371,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c18c425e4b006c4f856acda","contributors":{"authors":[{"text":"Wesner, Jeff","contributorId":211583,"corporation":false,"usgs":false,"family":"Wesner","given":"Jeff","affiliations":[{"id":16684,"text":"University of South Dakota","active":true,"usgs":false}],"preferred":false,"id":754419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walters, David 0000-0002-4237-2158 waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":147135,"corporation":false,"usgs":true,"family":"Walters","given":"David","email":"waltersd@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":754418,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zuellig, Robert E. 0000-0002-4784-2905 rzuellig@usgs.gov","orcid":"https://orcid.org/0000-0002-4784-2905","contributorId":1620,"corporation":false,"usgs":true,"family":"Zuellig","given":"Robert","email":"rzuellig@usgs.gov","middleInitial":"E.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":754420,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70227925,"text":"70227925 - 2019 - Genetic swamping and species collapse: Tracking introgression between the native Candy Darter and introduced Variegate Darter","interactions":[],"lastModifiedDate":"2022-02-03T11:55:44.231498","indexId":"70227925","displayToPublicDate":"2018-12-01T10:48:11","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Genetic swamping and species collapse: Tracking introgression between the native Candy Darter and introduced Variegate Darter","docAbstract":"<p>Candy Darters (<i>Etheostoma osburni</i>) and Variegate Darters <i>(E. variatum</i>) are both native to West Virginia and Virginia. The geographic ranges of these two species were historically separated by Kanawha Falls, a natural barrier to fish dispersal located at Glen Ferris, WV. In the early 1980s, Variegate Darters or putative hybrids (<i>E. osburni</i> ×<i> E. variatum</i>) were first collected at locations upstream of Kanawha Falls, and have since undergone range expansion. Hybridization with the Variegate Darter was one of the threats that led to the Candy Darter being proposed for listing under the U.S. Endangered Species Act in 2017. Genetic and morphologic data were examined for individuals from the New, Gauley, and Greenbrier river drainages. Individuals were genotyped using a suite of 5 diagnostic microsatellite loci to investigate potential hybridization. Widespread hybridization was found throughout populations of Candy Darters, with the geographic range of hybridization expanding from 2004 to 2014. A hybrid zone was observed, with the highest levels of Variegate Darter introgression representing the kernel within this zone and the locations of first-generation (F1) hybrids at the periphery. F1 hybrids were morphologically intermediate within and across characters for parental species. Introgressive hybridization threatens the genetic integrity of the Candy Darter, and may lead to population extirpation or extinction.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10592-018-1131-2","usgsCitation":"Gibson, I., Welsh, A., Welsh, S.A., and Cincotta, D., 2019, Genetic swamping and species collapse: Tracking introgression between the native Candy Darter and introduced Variegate Darter: Conservation Genetics, v. 20, p. 287-298, https://doi.org/10.1007/s10592-018-1131-2.","productDescription":"12 p.","startPage":"287","endPage":"298","ipdsId":"IP-094794","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":395289,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.6728515625,\n              38.71980474264237\n            ],\n            [\n              -79.82666015625,\n              38.736946065676\n            ],\n            [\n              -80.17822265625,\n              38.53097889440024\n            ],\n            [\n              -80.61767578124999,\n              38.272688535980976\n            ],\n            [\n              -81.2548828125,\n              38.324420427006544\n            ],\n            [\n              -81.40869140625,\n              37.97884504049713\n            ],\n            [\n              -81.38671875,\n              37.64903402157866\n            ],\n            [\n              -81.84814453125,\n              37.24782120155428\n            ],\n            [\n              -81.32080078125,\n              37.3002752813443\n            ],\n            [\n              -80.5078125,\n              37.35269280367274\n            ],\n            [\n              -80.15625,\n              37.75334401310656\n            ],\n            [\n              -79.82666015625,\n              38.44498466889473\n            ],\n            [\n              -79.6728515625,\n              38.71980474264237\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"20","noUsgsAuthors":false,"publicationDate":"2018-12-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Gibson, Isaac","contributorId":273116,"corporation":false,"usgs":false,"family":"Gibson","given":"Isaac","email":"","affiliations":[{"id":16117,"text":"Wisconsin DNR","active":true,"usgs":false}],"preferred":false,"id":832589,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welsh, Amy B.","contributorId":273117,"corporation":false,"usgs":false,"family":"Welsh","given":"Amy B.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":832590,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Welsh, Stuart A. 0000-0003-0362-054X","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":217037,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart","email":"","middleInitial":"A.","affiliations":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":832746,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cincotta, Daniel A.","contributorId":273118,"corporation":false,"usgs":false,"family":"Cincotta","given":"Daniel A.","affiliations":[{"id":56173,"text":"West Virginia DNR","active":true,"usgs":false}],"preferred":false,"id":832591,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204731,"text":"70204731 - 2019 - Controls on organic matter distributions in Eocene Lake Uinta, Utah and Colorado","interactions":[],"lastModifiedDate":"2019-08-13T07:49:12","indexId":"70204731","displayToPublicDate":"2018-12-01T07:46:35","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2789,"text":"Mountain Geologist","active":true,"publicationSubtype":{"id":10}},"title":"Controls on organic matter distributions in Eocene Lake Uinta, Utah and Colorado","docAbstract":"The Green River Formation deposited in Eocene Lake Uinta in the Uinta and Piceance Basins, Utah and Colorado, contains the largest oil shale resource in the world with an estimated 1.53 trillion barrels of oil in-place in the Piceance Basin and 1.32 trillion barrels in the Uinta Basin. The Douglas Creek arch, a slowly subsiding hinge-line between the two basins, created separate deep depocenters with shallow water conditions near the crest of the arch. Lake Uinta was a saline lake throughout its history with a lower saline to hypersaline layer (monimolimnion) and an upper less saline layer (mixolimnion). Most of the organic matter in the Green River Formation was derived primarily from algae that lived in the photic zone of the lake and is very hydrogen-rich and oil-prone. \nIn many modern large and deep lakes, rates of organic matter production are highly variable due to differences in nutrient supply. However, cyclonic circulation often leads to winnowing out organic and mineral matter in the mixolimnion leading to organic and fine-grained mineral matter being deposited in increasing amounts toward hydro-dynamically dead zones in the center of the circulation producing concentric bands of increasing organic matter content. Organic matter transport through the dense, hypersaline monimolimnion may have been facilitated by low density organic matter attaching to more dense clay mineral particles. Most of the oil shale intervals deposited in Lake Uinta display similar patterns in their organic matter distributions, increasing in very regular fashion toward the central areas of the lake’s two depocenters. This concentric feature is particularly prominent in the most laminated oil shale zones. Here, we propose that cyclonic circulation was present in Lake Uinta. Each basin appears to have had its own circulation currents, separated by shallow water conditions near the Douglas Creek arch, as well as one hydro-dynamically dead zone. \nSediment gravity flow processes were also very active in some strata of Lake Uinta, leading to the reworking and redepositing of sediments. Two general types of sediment gravity flows are recognized: (1) organic-rich sediment gravity flows that reworked and may have concentrated organic-rich material closer to the two deep depocenters, and (2) sandstone and siltstone-rich organic-poor mass movement deposits that originated on marginal shelves. Mass movements could have been triggered by various natural processes and/or possibly by the movement of dense brines that evolved on marginal shelves and moved along the bottom of the water column toward the deep part of the lake. The uppermost, poorly consolidated sediment layer was incorporated in sediment gravity flows as they moved, and in many cases sediment gravity flows scoured down significantly into the more consolidated underlying sediment producing large rip-up clasts of laminated sediments. Truncation of more than 100 ft occurs at the base of a sequence of sediment gravity flows in one well, indicating a significant incised channel. Coarser-grained sediment gravity flows terminated before reaching the lake’s deepest areas, forming thick concentric buildups of organically-lean sediment near the base of the marginal slopes. Intervals dominated by organic-rich fine-grained sediment gravity flows have tightly concentric bands of increasing organic matter toward the deepest parts of the lake and can be organically richer than the richest laminated intervals. There is some evidence that the hydro-dynamically quiet zones did not always correspond closely to the deepest areas of the lake, extending in some cases into shallower areas.","language":"English","publisher":"Rocky Mountain Association of Geologists","doi":"10.31582/rmag.mg.55.4.177","usgsCitation":"Johnson, R.C., Mercier, T.J., and Birdwell, J.E., 2019, Controls on organic matter distributions in Eocene Lake Uinta, Utah and Colorado: Mountain Geologist, v. 55, no. 1, p. 177-216, https://doi.org/10.31582/rmag.mg.55.4.177.","productDescription":"40 p.","startPage":"177","endPage":"216","ipdsId":"IP-100509","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science 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Center","active":true,"usgs":true}],"preferred":true,"id":768237,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":768238,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70203268,"text":"70203268 - 2019 - Clarifying regional hydrologic controls of the Marañón River, Peru through rapid assessment to inform system-wide basin planning approaches","interactions":[],"lastModifiedDate":"2019-05-02T08:37:35","indexId":"70203268","displayToPublicDate":"2018-12-01T07:15:33","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3888,"text":"Elementa: Science of the Anthropocene","active":true,"publicationSubtype":{"id":10}},"title":"Clarifying regional hydrologic controls of the Marañón River, Peru through rapid assessment to inform system-wide basin planning approaches","docAbstract":"<div class=\"authors\"><p class=\"p1\">We use remote sensing to enhance the interpretation of the first baseline dataset of hydrologic, isotopic and hydrochemical variables spanning 620 km of the upper Marañón River, in Andean Peru, from the steep alpine canyons to the lower lying jungle. Remote, data-scarce river systems are under increased hydropower development pressure to meet rising energy demands. The upstream-downstream river continuum, which serves as a conduit for resource exchange across ecosystems, is at risk, potentially endangering the people, environments, and economies that rely on river resources. The Marañón River, one of the final free-flowing headwater connections between the Andes and the Amazon, is the subject of myriad large-scale hydropower proposals. Due to challenging access, environmental data are scarce in the upper Marañón, limiting our ability to do system-wide river basin planning. We capture key processes and transitions in the context of hydropower development. Two hydrologic regimes control the Marañón dry-season flow: in the higher-elevation upper reaches, a substantial baseflow is fed by groundwater recharged from wet season rains, in contrast to the lower reaches where the mainstem discharge is controlled by rain-fed tributaries that receive rain from lowland Amazon moisture systems. Sustainability of the upper corridor’s dry-season baseflow appears to be more highly connected to the massive natural storage capacity of extensive wetlands in the puna (alpine grasslands) than with cryospheric water inputs. The extent and conservation of puna ecosystems and glacier reservoirs may be interdependent, bringing to bear important conservation questions in the context of changing climate and land use in the region. More generally, this case study demonstrates an efficient combined remote sensing and field observation approach to address data scarcity across regional scales in mountain basins facing imminent rapid change.</p></div>","language":"English","publisher":"University of California Press","doi":"10.1525/elementa.290","usgsCitation":"Hill, A.F., Stallard, R., and Rittger, K., 2019, Clarifying regional hydrologic controls of the Marañón River, Peru through rapid assessment to inform system-wide basin planning approaches: Elementa: Science of the Anthropocene, v. 6, no. 1, 22 p., https://doi.org/10.1525/elementa.290.","productDescription":"22 p.","ipdsId":"IP-091037","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":468043,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/elementa.290","text":"Publisher Index Page"},{"id":363471,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Peru","otherGeospatial":"Marañón River","volume":"6","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Hill, Alice F.","contributorId":215273,"corporation":false,"usgs":false,"family":"Hill","given":"Alice","email":"","middleInitial":"F.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":761967,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stallard, Robert 0000-0001-8209-7608","orcid":"https://orcid.org/0000-0001-8209-7608","contributorId":215272,"corporation":false,"usgs":true,"family":"Stallard","given":"Robert","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":761966,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rittger, Karl","contributorId":215274,"corporation":false,"usgs":false,"family":"Rittger","given":"Karl","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":761968,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204011,"text":"70204011 - 2019 - Radium accumulation in carbonate river sediments at oil and gas produced water discharges: Implications for beneficial use as disposal management","interactions":[],"lastModifiedDate":"2019-06-27T08:40:40","indexId":"70204011","displayToPublicDate":"2018-11-30T08:39:47","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5830,"text":"Environmental Science","active":true,"publicationSubtype":{"id":10}},"title":"Radium accumulation in carbonate river sediments at oil and gas produced water discharges: Implications for beneficial use as disposal management","docAbstract":"In the western U.S., produced water from oil and gas wells discharged to surface water  augments downstream supplies used for irrigation and livestock watering. Here we investigate six permitted discharges on three neighboring tributary systems in Wyoming. During 2013-16, we evaluated radium activities of the permitted discharges and the potential for radium accumulation in associated stream sediments. Radium activities of the sediments at the points of discharge ranged from approximately 200-3600 Bq/kg with elevated activities above the background of 74 Bq/kg over 30 km downstream of one permitted discharge. Sediment as deep as 30 cm near the point of discharge had radium activities elevated above background.  X-ray diffraction and targeted sequential extraction of radium in sediments indicate that radium is likely coprecipitated with carbonate, and to a lesser extent sulfate minerals. PHREEQC modeling predicts radium coprecipitation with aragonite and barite, but over-estimates the latter compared to observations of downstream sediment, where carbonate predominates. Mass-balance calculations indicate over 3 billion Bq of radium activity (226Ra+228Ra) is discharged each year from five of the discharges, combined, with only 5 percent of the annual load retained in stream sediments within 100m of the effluent discharges; the remaining 95 percent of the radium is transported farther downstream as sediment-associated and aqueous species","language":"English","publisher":"The Royal Society of Chemistry","doi":"10.1039/C8EM00336J","usgsCitation":"McDevitt, B., McLaughlin, M., Cravotta, C.A., Ajemigbitse, M.A., Van Sice, K.J., Blotevogel, J., Borch, T., and Warner, N.R., 2019, Radium accumulation in carbonate river sediments at oil and gas produced water discharges: Implications for beneficial use as disposal management: Environmental Science, v. 21, no. 2, p. 324-338, https://doi.org/10.1039/C8EM00336J.","productDescription":"15 p.","startPage":"324","endPage":"338","ipdsId":"IP-102035","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":365100,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365097,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.rsc.org/en/content/articlehtml/2019/em/c8em00336j"}],"volume":"21","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McDevitt, Bonnie","contributorId":211455,"corporation":false,"usgs":false,"family":"McDevitt","given":"Bonnie","affiliations":[{"id":38248,"text":"Civil and Environmental Engineering Department, The Pennsylvania State University,","active":true,"usgs":false}],"preferred":false,"id":765179,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McLaughlin, Molly","contributorId":216622,"corporation":false,"usgs":false,"family":"McLaughlin","given":"Molly","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":765180,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cravotta, Charles A. III 0000-0003-3116-4684","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":216591,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles","suffix":"III","email":"","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":765178,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ajemigbitse, Moses A","contributorId":216601,"corporation":false,"usgs":false,"family":"Ajemigbitse","given":"Moses","email":"","middleInitial":"A","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":765181,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Van Sice, Katherine J.","contributorId":216623,"corporation":false,"usgs":false,"family":"Van Sice","given":"Katherine","email":"","middleInitial":"J.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":765182,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blotevogel, Jens","contributorId":216624,"corporation":false,"usgs":false,"family":"Blotevogel","given":"Jens","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":765183,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Borch, Thomas","contributorId":195631,"corporation":false,"usgs":false,"family":"Borch","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":765184,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Warner, Nathaniel R.","contributorId":211458,"corporation":false,"usgs":false,"family":"Warner","given":"Nathaniel","email":"","middleInitial":"R.","affiliations":[{"id":38248,"text":"Civil and Environmental Engineering Department, The Pennsylvania State University,","active":true,"usgs":false}],"preferred":false,"id":765185,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70204941,"text":"70204941 - 2019 - Optimal spatial allocation of control effort to manage invasives in the face of imperfect detection and misclassification","interactions":[],"lastModifiedDate":"2019-08-23T15:41:36","indexId":"70204941","displayToPublicDate":"2018-11-28T15:35:29","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Optimal spatial allocation of control effort to manage invasives in the face of imperfect detection and misclassification","docAbstract":"<p><span>Imperfect detection and misclassification errors are often ignored in the context of invasive species management. Here we present an approach that combines spatially explicit models and an optimization technique to design optimal search and destroy strategies based on noisy monitoring observations. We focus on two invasive plants, melaleuca (</span><i>Melaleuca quinquenervia</i><span>) and Old World climbing fern (</span><i>Lygodium microphyllum</i><span>), which continue to cause important damages to the Everglades ecosystem. We present a methodological framework that combines Hidden Markov Random Field (HMRF, initially developed for image analysis) and linear programming to optimally search for invasive species. A benefit of this approach is that it accounts for the spatial structure of the system by using a spatially explicit modeling approach (i.e. HMRF), and does not require repeated visits to model the probability of occurrence of species. We found on simulated cases that our approach can lead to substantial improvements in control efficiency when compared to state of the art model-free approaches. For example, in the case of the old world fern, simulations showed that the optimal strategy would allow managers to control up to 34% more sites than with model-free approaches that ignored misclassification and imperfect detection. For melaleuca it was possible to control up to 20% more sites. The vast increase in imagery data obtained from different sources (e.g. unmanned aerial systems, and satellite) provides great opportunities to improve management of natural resources by applying modern computational methods such as the one we present. Our approach can substantially increases the efficiency of invasive species control by accounting for imperfect detection, misclassification error and the spatial structure of the system. Our approach is applicable to other systems and problems, for example it could be applied to the control of plant pathogens, or optimal extraction of resources (e.g. minerals or biological resources).</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2018.11.012","usgsCitation":"Bonneau, M., Martin, J., Peyrard, N., Rodgers, L., Romagosa, C.M., and Johnson, F., 2019, Optimal spatial allocation of control effort to manage invasives in the face of imperfect detection and misclassification: Ecological Modelling, v. 392, p. 108-116, https://doi.org/10.1016/j.ecolmodel.2018.11.012.","productDescription":"9 p.","startPage":"108","endPage":"116","ipdsId":"IP-089846","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":468047,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2018.11.012","text":"Publisher Index Page"},{"id":366875,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"392","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bonneau, Mathieu","contributorId":150041,"corporation":false,"usgs":false,"family":"Bonneau","given":"Mathieu","email":"","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":769177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Julien 0000-0002-7375-129X","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":214502,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":769178,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peyrard, Nathalie","contributorId":218403,"corporation":false,"usgs":false,"family":"Peyrard","given":"Nathalie","email":"","affiliations":[],"preferred":false,"id":769179,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rodgers, LeRoy","contributorId":217557,"corporation":false,"usgs":false,"family":"Rodgers","given":"LeRoy","email":"","affiliations":[{"id":7036,"text":"South Florida Water Management District","active":true,"usgs":false}],"preferred":false,"id":769180,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Romagosa, Christina M.","contributorId":200925,"corporation":false,"usgs":false,"family":"Romagosa","given":"Christina","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":769181,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Fred A. 0000-0002-5854-3695","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":213877,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":769182,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70205182,"text":"70205182 - 2019 - Bioclimatic envelopes for individual demographic events driven by extremes: Plant mortality from drought and warming","interactions":[],"lastModifiedDate":"2019-09-06T09:18:59","indexId":"70205182","displayToPublicDate":"2018-11-28T09:15:42","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2065,"text":"International Journal of Plant Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Bioclimatic envelopes for individual demographic events driven by extremes: Plant mortality from drought and warming","docAbstract":"<p>The occurrence of plant species across the globe is largely constrained by climate. Ecologists use plant-climate relationships such as bioclimatic envelopes and related niche models to determine potential environmental conditions promoting probable species occurrence. Traditionally bioclimatic envelopes either exclude disturbance explicitly, or only include disturbance as infrequent and smaller scale processes, assuming that the net effect of climate parameters on key demographic processes predict longer-term equilibrial responses of biota. Due to increasing frequency and extent of extreme events associated with climate change, ecologists may need to increase focus on individual demographic events driven by environmental extremes such as widespread coral bleaching or large-scale tree die-off. An expanded focus on how extreme events catalyze individual demographic events would complement existing tools that predict long-term equilibrial biogeographic responses associated with long-term trends in climate. In many cases, extreme conditions (e.g. drought) are a necessary precursor for an abrupt demographic event (e.g. large-scale tree die-off) and the effects of extremes can be exacerbated by climatic trends (e.g. higher temperatures in combination with drought). Here, we highlight application of bioclimatic models for predicting individual demographic events. Defining the environmental conditions that precipitate demographic events such as widespread tree mortality is a necessary precursor for applying predictions to geographic space, and may require challenging biota with experiments that impose a combination of ecologically extreme conditions in one parameter and a shifting distribution in another (e.g. drought under higher temperatures). Currently data on conditions that drive individual demographic events associated with extremes are usually rare, aggregated across time, and/or correlative. We highlight this approach with a case study of drought-induced mortality in adult <i>Pinus edulis</i> trees that predicts a more than five-fold increase in frequency of die-off events under a global change scenario of high emissions. This general approach complements both traditional bioclimatic envelopes and more detailed physiological approaches currently being refined to address climate change challenges. Notably, this proposed approach could be developed for any climate condition or plant life stage, offering promise for improving predictions of individual demographic events that are rapidly altering ecosystems globally.</p>","language":"English","publisher":"University of Chicago Press","doi":"10.1086/700702","usgsCitation":"Law, D.J., Adams, H.D., Breshears, D.D., Cobb, N.S., Bradford, J.B., Zou, C.B., Field, J.P., Gardea, A.A., Williams, A.P., and Huxman, T.E., 2019, Bioclimatic envelopes for individual demographic events driven by extremes: Plant mortality from drought and warming: International Journal of Plant Sciences, v. 80, no. 1, p. 53-62, https://doi.org/10.1086/700702.","productDescription":"10 p.","startPage":"53","endPage":"62","ipdsId":"IP-066810","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":367246,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Law, Darin J.","contributorId":216390,"corporation":false,"usgs":false,"family":"Law","given":"Darin","email":"","middleInitial":"J.","affiliations":[{"id":39400,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":770258,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Henry D.","contributorId":218785,"corporation":false,"usgs":false,"family":"Adams","given":"Henry","email":"","middleInitial":"D.","affiliations":[{"id":39910,"text":"Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM 87544, USA","active":true,"usgs":false}],"preferred":false,"id":770261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Breshears, David D.","contributorId":51620,"corporation":false,"usgs":false,"family":"Breshears","given":"David","email":"","middleInitial":"D.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":770260,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cobb, Neil S.","contributorId":200776,"corporation":false,"usgs":false,"family":"Cobb","given":"Neil","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":770262,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":770257,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zou, Chris B.","contributorId":218786,"corporation":false,"usgs":false,"family":"Zou","given":"Chris","email":"","middleInitial":"B.","affiliations":[{"id":39911,"text":"Oklahoma State University, Stillwater, OK 74074, USA","active":true,"usgs":false}],"preferred":false,"id":770263,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Field, Jason P.","contributorId":216389,"corporation":false,"usgs":false,"family":"Field","given":"Jason","email":"","middleInitial":"P.","affiliations":[{"id":39400,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":770259,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gardea, Alfonso A.","contributorId":218787,"corporation":false,"usgs":false,"family":"Gardea","given":"Alfonso","email":"","middleInitial":"A.","affiliations":[{"id":39912,"text":"Centro de Investigación en Alimentación y Desarrollo, A.C., Guaymas, Sonora, Mexico","active":true,"usgs":false}],"preferred":false,"id":770264,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Williams, A. Park","contributorId":200207,"corporation":false,"usgs":false,"family":"Williams","given":"A.","email":"","middleInitial":"Park","affiliations":[{"id":27369,"text":"Lamont-Doherty Earth Observatory at Columbia University","active":true,"usgs":false}],"preferred":false,"id":770265,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Huxman, Travis E.","contributorId":53898,"corporation":false,"usgs":false,"family":"Huxman","given":"Travis","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":770266,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70248699,"text":"70248699 - 2019 - Europa’s ice tectonics: New insights from physical wax experiments with implications for subduction initiation and global resurfacing processes","interactions":[],"lastModifiedDate":"2023-09-18T15:44:45.314335","indexId":"70248699","displayToPublicDate":"2018-11-24T10:41:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Europa’s ice tectonics: New insights from physical wax experiments with implications for subduction initiation and global resurfacing processes","docAbstract":"<p><span>Jupiter's&nbsp;Moon&nbsp;Europa has one of the youngest geological surfaces in our solar system with an age of 40–90&nbsp;Ma, implying an intense history of resurfacing. The surface of Europa indeed shows abundant evidence of tectonic deformation related to extension, strike-slip, and shortening. However, observed features related to shortening are scarce compared with pervasive extensive extensional features such as dilational bands, and do not suffice as the sole mechanism for recycling aging&nbsp;terranes. Recently, evidence for potential&nbsp;plate tectonics, associated with&nbsp;</span>subduction zones<span>, has been discovered on Europa; this could be responsible for recycling most of Europa's surface. However, basic physical parameters needed to initiate subduction on Europa, such as thickness of the brittle layer, deformation rates, and orientation of pre-existing zones of weakness at which subduction could start, are not well understood. Here, we aim to better understand the process and the conditions that could lead to initiation of subduction on Europa through physical experiments, using wax to simulate Europa's two-layered (i.e. convective) icy crust. By deforming the wax, strain on Europa's surface—possibly caused by diurnal tides or its nonsynchronous rotation—is simulated. Our results indicate that subduction could initiate over a broad range of surface thicknesses and deformation rates above a minimum conductive layer thickness, but is strongly dependent on the orientation of the pre-existing zones of weakness. Very thin conductive layer experiments, however, result in a previously undescribed process that we term ductile rolldown, which creates surface features similar to double ridges observed on Europa. Thus, subduction and ductile rolldown represent physically plausible mechanisms that could play a critical role in resurfacing Europa throughout its geologic history. These results could yield significant implications for Europa's thermal history and evolution,&nbsp;habitability, and future spacecraft missions.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2018.11.005","usgsCitation":"Klasner, M.W., Gross, J., Tindall, S., Schlishe, R.W., and Potter, C.J., 2019, Europa’s ice tectonics: New insights from physical wax experiments with implications for subduction initiation and global resurfacing processes: Icarus, v. 321, p. 593-607, https://doi.org/10.1016/j.icarus.2018.11.005.","productDescription":"15 p.","startPage":"593","endPage":"607","ipdsId":"IP-098567","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":420904,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Europa, Jupiter","volume":"321","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Klasner, Michael W","contributorId":329765,"corporation":false,"usgs":false,"family":"Klasner","given":"Michael","email":"","middleInitial":"W","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":883238,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gross, Juliane 0000-0002-5288-0981","orcid":"https://orcid.org/0000-0002-5288-0981","contributorId":223401,"corporation":false,"usgs":false,"family":"Gross","given":"Juliane","email":"","affiliations":[{"id":40711,"text":"Rutgers State University of New Jersey","active":true,"usgs":false}],"preferred":false,"id":883239,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tindall, Sarah","contributorId":329766,"corporation":false,"usgs":false,"family":"Tindall","given":"Sarah","email":"","affiliations":[{"id":78714,"text":"Kutztown University","active":true,"usgs":false}],"preferred":false,"id":883240,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schlishe, Roy W.","contributorId":329767,"corporation":false,"usgs":false,"family":"Schlishe","given":"Roy","email":"","middleInitial":"W.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":883241,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Potter, Christopher J. 0000-0002-2300-6670 cpotter@usgs.gov","orcid":"https://orcid.org/0000-0002-2300-6670","contributorId":1026,"corporation":false,"usgs":true,"family":"Potter","given":"Christopher","email":"cpotter@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":883242,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70200930,"text":"70200930 - 2019 - Identification of conservation and restoration priority areas in the Danube River based on the multi-functionality of river-floodplain systems","interactions":[],"lastModifiedDate":"2018-11-16T10:54:17","indexId":"70200930","displayToPublicDate":"2018-11-16T10:54:13","publicationYear":"2019","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":"Identification of conservation and restoration priority areas in the Danube River based on the multi-functionality of river-floodplain systems","docAbstract":"<p><span>Large river-floodplain systems are hotspots of&nbsp;biodiversity&nbsp;and&nbsp;ecosystem services&nbsp;but are also used for multiple human activities, making them one of the most threatened ecosystems worldwide. There is wide evidence that reconnecting&nbsp;river channels&nbsp;with their&nbsp;floodplains&nbsp;is an effective measure to increase their multi-functionality, i.e., ecological integrity, habitats for multiple species and the multiple functions and services of river-floodplain systems, although, the selection of promising sites for restoration projects can be a demanding task. In the case of the Danube River in Europe, planning and implementation of restoration projects is substantially hampered by the complexity and heterogeneity of the environmental problems, lack of data and strong differences in socio-economic conditions as well as inconsistencies in legislation related to&nbsp;river management. We take a quantitative approach based on best-available data to assess biodiversity using selected species and three ecosystem services (flood regulation, crop&nbsp;</span>pollination<span>, and recreation), focused on the navigable main stem of the Danube River and its floodplains. We spatially prioritize river-floodplain segments for conservation and restoration based on (1) multi-functionality related to biodiversity and ecosystem services, (2) availability of remaining semi-natural areas and (3) reversibility as it relates to multiple human activities (e.g.&nbsp;flood protection,&nbsp;hydropowerand navigation). Our approach can thus serve as a strategic planning tool for the Danube and provide a method for similar analyses in other large river-floodplain systems.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.10.322","usgsCitation":"Funk, A., Martinez-Lopez, J., Borgwardt, F., Traunder, D., Bagstad, K.J., Balbi, S., Magrach, A., Villa, F., and Hein, T., 2019, Identification of conservation and restoration priority areas in the Danube River based on the multi-functionality of river-floodplain systems: Science of the Total Environment, v. 654, p. 763-777, https://doi.org/10.1016/j.scitotenv.2018.10.322.","productDescription":"15 p.","startPage":"763","endPage":"777","ipdsId":"IP-099325","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":468055,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.10.322","text":"Publisher Index Page"},{"id":359509,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Austria, Bulgaria, Croatia, Germany, Hungary, Romania, Slovakia, Serbia, Ukraine","otherGeospatial":"Danube River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              10,\n              43\n            ],\n            [\n              32,\n              43\n            ],\n            [\n              32,\n              50\n            ],\n            [\n              10,\n              50\n            ],\n            [\n              10,\n              43\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"654","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5befe5b7e4b045bfcadf7f20","contributors":{"authors":[{"text":"Funk, Andrea","contributorId":210646,"corporation":false,"usgs":false,"family":"Funk","given":"Andrea","email":"","affiliations":[{"id":38121,"text":"University of Natural Resources and Life Sciences, Vienna","active":true,"usgs":false}],"preferred":false,"id":751358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martinez-Lopez, Javier 0000-0003-4857-3396","orcid":"https://orcid.org/0000-0003-4857-3396","contributorId":208480,"corporation":false,"usgs":false,"family":"Martinez-Lopez","given":"Javier","email":"","affiliations":[{"id":32916,"text":"Basque Centre for Climate Change","active":true,"usgs":false}],"preferred":false,"id":751359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Borgwardt, Florian","contributorId":210647,"corporation":false,"usgs":false,"family":"Borgwardt","given":"Florian","email":"","affiliations":[{"id":38121,"text":"University of Natural Resources and Life Sciences, Vienna","active":true,"usgs":false}],"preferred":false,"id":751360,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Traunder, Daniel","contributorId":210648,"corporation":false,"usgs":false,"family":"Traunder","given":"Daniel","email":"","affiliations":[{"id":38121,"text":"University of Natural Resources and Life Sciences, Vienna","active":true,"usgs":false}],"preferred":false,"id":751361,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":751357,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Balbi, Stefano 0000-0001-8190-5968","orcid":"https://orcid.org/0000-0001-8190-5968","contributorId":208481,"corporation":false,"usgs":false,"family":"Balbi","given":"Stefano","email":"","affiliations":[{"id":32916,"text":"Basque Centre for Climate Change","active":true,"usgs":false}],"preferred":false,"id":751362,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Magrach, Ainhoa 0000-0003-2155-7556","orcid":"https://orcid.org/0000-0003-2155-7556","contributorId":208482,"corporation":false,"usgs":false,"family":"Magrach","given":"Ainhoa","email":"","affiliations":[{"id":32916,"text":"Basque Centre for Climate Change","active":true,"usgs":false}],"preferred":false,"id":751363,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Villa, Ferdinando 0000-0002-5114-3007","orcid":"https://orcid.org/0000-0002-5114-3007","contributorId":208486,"corporation":false,"usgs":false,"family":"Villa","given":"Ferdinando","email":"","affiliations":[{"id":32916,"text":"Basque Centre for Climate Change","active":true,"usgs":false}],"preferred":false,"id":751364,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hein, Thomas 0000-0002-7767-4607","orcid":"https://orcid.org/0000-0002-7767-4607","contributorId":210649,"corporation":false,"usgs":false,"family":"Hein","given":"Thomas","email":"","affiliations":[{"id":38121,"text":"University of Natural Resources and Life Sciences, Vienna","active":true,"usgs":false}],"preferred":false,"id":751365,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70200688,"text":"70200688 - 2019 - Delayed herbivory by migratory geese increases summer‐long CO2 uptake in coastal western Alaska","interactions":[],"lastModifiedDate":"2019-01-28T08:54:03","indexId":"70200688","displayToPublicDate":"2018-10-30T14:21:16","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Delayed herbivory by migratory geese increases summer‐long CO<i>2</i> uptake in coastal western Alaska","title":"Delayed herbivory by migratory geese increases summer‐long CO2 uptake in coastal western Alaska","docAbstract":"<p><span>The advancement of spring and the differential ability of organisms to respond to changes in plant phenology may lead to ‘phenological mismatches’ as a result of climate change. One potential for considerable mismatch is between migratory birds and food availability in northern breeding ranges and these mismatches may have consequences for ecosystem function. We conducted a three‐year experiment to examine the consequences for CO</span><sub>2</sub><span>&nbsp;exchange of advanced spring green‐up and altered timing of grazing by migratory Pacific black brant in a coastal wetland in western Alaska. Experimental treatments represent the variation in green‐up and timing of peak grazing intensity that currently exists in the system. Delayed grazing resulted in greater net ecosystem exchange (NEE) and gross primary productivity (GPP) while early grazing reduced CO</span><sub>2</sub><span>&nbsp;uptake with the potential of causing net ecosystem carbon (C) loss in late spring and early summer. Conversely, advancing the growing season only influenced ecosystem respiration (ER), resulting in a small increase in ER with no concomitant impact on GPP or NEE. The experimental treatment that represents the most likely future, with green‐up advancing more rapidly than arrival of migratory geese, results in NEE changing by 1.2 μmol m</span><sup>−2</sup><span>&nbsp;s</span><sup>−1</sup><span>&nbsp;toward a greater CO</span><sub>2</sub><span>&nbsp;sink in spring and summer. Increased sink strength, however, may be mitigated by early arrival of migratory geese, which would reduce CO</span><sub>2</sub><span>&nbsp;uptake. Importantly, while the direct effect of climate warming on phenology of green‐up has a minimal influence on NEE, the indirect effect of climate warming manifest through changes in the timing of peak grazing can have a significant impact on C balance in northern coastal wetlands. Furthermore, processes influencing the timing of goose migration in the winter range can significantly influence ecosystem function in summer habitats.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.14473","usgsCitation":"Leffler, A.J., Beard, K., Kelsey, K.C., Choi, R.T., Schmutz, J.A., and Welker, J.M., 2019, Delayed herbivory by migratory geese increases summer‐long CO2 uptake in coastal western Alaska: Global Change Biology, v. 25, no. 1, p. 277-289, https://doi.org/10.1111/gcb.14473.","productDescription":"13 p.","startPage":"277","endPage":"289","ipdsId":"IP-093758","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":468063,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.14473","text":"Publisher Index Page"},{"id":358972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"25","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-18","publicationStatus":"PW","scienceBaseUri":"5c10a902e4b034bf6a7e4eef","contributors":{"authors":[{"text":"Leffler, A. Joshua","contributorId":210187,"corporation":false,"usgs":false,"family":"Leffler","given":"A.","email":"","middleInitial":"Joshua","affiliations":[{"id":38087,"text":"Department of Natural Resource Management, South Dakota State","active":true,"usgs":false}],"preferred":false,"id":750126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beard, Karen H.","contributorId":14296,"corporation":false,"usgs":true,"family":"Beard","given":"Karen H.","affiliations":[],"preferred":false,"id":750127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelsey, Katharine C.","contributorId":195397,"corporation":false,"usgs":false,"family":"Kelsey","given":"Katharine","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":750128,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Choi, Ryan T.","contributorId":205936,"corporation":false,"usgs":false,"family":"Choi","given":"Ryan","email":"","middleInitial":"T.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":750129,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":750125,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Welker, Jeffery M.","contributorId":43654,"corporation":false,"usgs":true,"family":"Welker","given":"Jeffery","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":750130,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70200477,"text":"70200477 - 2019 - Statistical detection of flow regime changes in horizontal hydraulically fractured Bakken oil wells","interactions":[],"lastModifiedDate":"2019-01-28T08:57:31","indexId":"70200477","displayToPublicDate":"2018-10-20T17:25:08","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"Statistical detection of flow regime changes in horizontal hydraulically fractured Bakken oil wells","docAbstract":"<p>The application of horizontal and hydraulically fractured wells for producing oil from low permeability formations has changed the face of the North American oil industry. One feature of the production profile of many such wells is a transition from transient linear oil flow to boundary-dominated flow. The identification of the time of this transition is important for the calibration of models that forecast the well’s future production and the expected ultimate recovery. It is preferable that such models generally use data from the boundary-dominated flow regime for parameter calibration. Accurate well production forecasts are needed for operational decisions, long-term planning, commercial transactions, regulatory proceedings, and asset valuation. Petroleum engineers frequently make the call on the transition point based on subjective visual interpretations of log–log plots for individual wells. This is time-consuming and is generally not repeatable by other analysts. This note evaluates statistical approaches that can serve as alternatives to the subjective visual interpretations. Specifically, the predictive performance of production models calibrated with boundary-dominated data based on transition dates calculated with constrained nonlinear least squares and Bayesian regressions was very close to that obtained using the visual method, suggesting that statistical approaches may indeed be constructed to replace less objective visual approaches without loss of accuracy.</p>","language":"English","publisher":"Springer","doi":"10.1007/s11053-018-9389-0","usgsCitation":"Attanasi, E., Coburn, T., and Ran-McDonald, B., 2019, Statistical detection of flow regime changes in horizontal hydraulically fractured Bakken oil wells: Natural Resources Research, v. 28, no. 1, p. 259-272, https://doi.org/10.1007/s11053-018-9389-0.","productDescription":"14 p.","startPage":"259","endPage":"272","ipdsId":"IP-091903","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":468068,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11053-018-9389-0","text":"Publisher Index Page"},{"id":358589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-26","publicationStatus":"PW","scienceBaseUri":"5c10a91ae4b034bf6a7e4fb3","contributors":{"authors":[{"text":"Attanasi, Emil D. 0000-0001-6845-7160 attanasi@usgs.gov","orcid":"https://orcid.org/0000-0001-6845-7160","contributorId":198728,"corporation":false,"usgs":true,"family":"Attanasi","given":"Emil D.","email":"attanasi@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":749069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coburn, T.C.","contributorId":209912,"corporation":false,"usgs":false,"family":"Coburn","given":"T.C.","email":"","affiliations":[{"id":38022,"text":"University of Tulsa","active":true,"usgs":false}],"preferred":false,"id":749070,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ran-McDonald, B.","contributorId":209913,"corporation":false,"usgs":false,"family":"Ran-McDonald","given":"B.","email":"","affiliations":[{"id":38022,"text":"University of Tulsa","active":true,"usgs":false}],"preferred":false,"id":749071,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70227761,"text":"70227761 - 2019 - Relationships between landscape constraints and a crayfish assemblage with consideration of competitor presence","interactions":[],"lastModifiedDate":"2022-01-28T13:22:22.29389","indexId":"70227761","displayToPublicDate":"2018-10-04T07:18:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Relationships between landscape constraints and a crayfish assemblage with consideration of competitor presence","docAbstract":"<h3 id=\"ddi12840-sec-0001-title\" class=\"article-section__sub-title section1\">Aim</h3><p>Crayfish are globally diverse and one of the most important taxa in North American streams. Despite their importance, many species are of conservation concern and efforts to improve conditions are limited. Here, we address two major impediments to improving conditions: (a) our lack of knowledge of the interplay among natural landscape and human-induced changes; and (b) a very limited understanding of how species interactions affect overall crayfish distributions.</p><h3 id=\"ddi12840-sec-0002-title\" class=\"article-section__sub-title section1\">Location</h3><p>Ozark Highlands ecoregion, USA.</p><h3 id=\"ddi12840-sec-0003-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We used both existing data and field-collected data to examine the relationships between 12<span>&nbsp;</span><i>Faxonius</i><span>&nbsp;</span>species and physicochemical variables at multiple spatial scales. Data were analysed using a generalized linear mixed model. After fitting our environmental variables, we also considered possible relationships between species considered strong competitors and species occurrence.</p><h3 id=\"ddi12840-sec-0004-title\" class=\"article-section__sub-title section1\">Results</h3><p>Our results indicated that elevation, lithology, an interaction between drainage area and anthropogenic disturbance, and the presence of strong competitors were associated with<span>&nbsp;</span><i>Faxonius</i><span>&nbsp;</span>occurrences.<span>&nbsp;</span><i>Faxonius</i><span>&nbsp;</span>occurrences were associated with assemblage-structuring variables: lithology and elevation. More interestingly, we found several patterns of interactions between drainage area and disturbance. The most common pattern among several species was a decline in occurrence in larger drainages when disturbance was high; however, longpincered crayfish (<i>Faxonius longidigitus</i>) was more likely to occupy large drainages as disturbance increased. Additionally, the presence of species considered strong competitors resulted in lower occurrence probability for many species, including two of the species classified as competitors.</p><h3 id=\"ddi12840-sec-0005-title\" class=\"article-section__sub-title section1\">Main conclusions</h3><p>In addition to identifying the relationships between native species and assemblage-structuring variables, we show how the probability of species occurrences relate to interactions between disturbance and natural landscape features. Further, our results suggest competitor presence also plays a role in structuring distributions at the stream segment scale. Our findings emphasize the value of considering both competitor presence and interactions among landscape variables and disturbances in structuring crayfish assemblages.</p>","language":"English","publisher":"Wiley","doi":"10.1111/ddi.12840","usgsCitation":"Mouser, J., Mollenhauer, R., and Brewer, S.K., 2019, Relationships between landscape constraints and a crayfish assemblage with consideration of competitor presence: Diversity and Distributions, v. 25, no. 1, p. 61-73, https://doi.org/10.1111/ddi.12840.","productDescription":"13 p.","startPage":"61","endPage":"73","ipdsId":"IP-091645","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":468082,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.12840","text":"Publisher Index Page"},{"id":395040,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Missouri","otherGeospatial":"Ozark Highlands ecoregion","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.603271484375,\n              34.134541681937364\n            ],\n            [\n              -89.23095703125,\n              34.134541681937364\n            ],\n            [\n              -89.23095703125,\n              38.35888785866677\n            ],\n            [\n              -94.603271484375,\n              38.35888785866677\n            ],\n            [\n              -94.603271484375,\n              34.134541681937364\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-10-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Mouser, J.B.","contributorId":244447,"corporation":false,"usgs":false,"family":"Mouser","given":"J.B.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":832064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mollenhauer, Robert","contributorId":242899,"corporation":false,"usgs":false,"family":"Mollenhauer","given":"Robert","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":832065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":832066,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70200424,"text":"70200424 - 2019 - Overview of the oxygen isotope systematics of land snails from North America","interactions":[],"lastModifiedDate":"2019-02-21T14:54:00","indexId":"70200424","displayToPublicDate":"2018-10-03T10:46:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Overview of the oxygen isotope systematics of land snails from North America","docAbstract":"<p><span>Continental paleoclimate proxies with near-global coverage are rare. Land snail δ</span><span class=\"sup\">18</span><span>O is one of the few proxies abundant in Quaternary sediments ranging from the tropics to the high Arctic tundra. However, its application in paleoclimatology remains difficult, attributable in part to limitations in published calibration studies. Here we present shell δ</span><span class=\"sup\">18</span><span>O of modern small (&lt;10 mm) snails across North America, from Florida (30°N) to Manitoba (58°N), to examine the main climatic controls on shell δ</span><span class=\"sup\">18</span><span>O at a coarse scale. This transect is augmented by published δ</span><span class=\"sup\">18</span><span>O values, which expand our coverage from Jamaica (18°N) to Alaska (64°N). Results indicate that shell δ</span><span class=\"sup\">18</span><span>O primarily tracks the average annual precipitation δ</span><span class=\"sup\">18</span><span>O. Shell δ</span><span class=\"sup\">18</span><span>O increases 0.5–0.7‰ for every 1‰ increase in precipitation δ</span><span class=\"sup\">18</span><span>O, and 0.3–0.7‰ for every 1°C increase in temperature. These relationships hold true when all taxa are included regardless of body size (ranging from ~1.6 to ~58 mm), ecology (herbivores, omnivores, and carnivores), or behavior (variable seasonal active periods and mobility habits). Future isotopic investigations should include calibration studies in tropical and high-latitude settings, arid environments, and along altitudinal gradients to test if the near linear relationship between shell and meteoric precipitation δ</span><span class=\"sup\">18</span><span>O observed on a continental scale remains significant.</span></p>","language":"English","publisher":"Cambridge University Press","doi":"10.1017/qua.2018.79","usgsCitation":"Yanes, Y., Al-Qattan, N.M., Rech, J.A., Pigati, J.S., Dodd, J.P., and Nekola, J.C., 2019, Overview of the oxygen isotope systematics of land snails from North America: Quaternary Research, v. 91, no. 1, p. 329-344, https://doi.org/10.1017/qua.2018.79.","productDescription":"16 p.","startPage":"329","endPage":"344","ipdsId":"IP-094692","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":358472,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","volume":"91","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-03","publicationStatus":"PW","scienceBaseUri":"5c10a92fe4b034bf6a7e505e","contributors":{"authors":[{"text":"Yanes, Yurena","contributorId":197219,"corporation":false,"usgs":false,"family":"Yanes","given":"Yurena","email":"","affiliations":[],"preferred":false,"id":748772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Al-Qattan, Nasser M.","contributorId":209766,"corporation":false,"usgs":false,"family":"Al-Qattan","given":"Nasser","email":"","middleInitial":"M.","affiliations":[{"id":16608,"text":"Miami University","active":true,"usgs":false}],"preferred":false,"id":748773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rech, Jason A.","contributorId":117323,"corporation":false,"usgs":false,"family":"Rech","given":"Jason","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":748774,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219 jpigati@usgs.gov","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":201167,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey","email":"jpigati@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":748771,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dodd, Justin P.","contributorId":209767,"corporation":false,"usgs":false,"family":"Dodd","given":"Justin","email":"","middleInitial":"P.","affiliations":[{"id":13666,"text":"Northern Illinois University","active":true,"usgs":false}],"preferred":false,"id":748775,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nekola, Jeffrey C.","contributorId":26214,"corporation":false,"usgs":false,"family":"Nekola","given":"Jeffrey","email":"","middleInitial":"C.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":748776,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70215780,"text":"70215780 - 2019 - Predicting the occurrence of chemicals of emerging concern in surface water and sediment across the U.S. portion of the Great Lakes Basin","interactions":[],"lastModifiedDate":"2020-10-29T14:58:29.23819","indexId":"70215780","displayToPublicDate":"2018-09-18T09:52:28","publicationYear":"2019","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":"Predicting the occurrence of chemicals of emerging concern in surface water and sediment across the U.S. portion of the Great Lakes Basin","docAbstract":"Chemicals of emerging concern (CECs) are introduced into the aquatic environment via various sources, posing a potential risk to aquatic organisms. Previous studies have identified relationships between the presence of CECs in water and broad-scale watershed characteristics. However, relationships between the presence of CECs and source-related watershed characteristics have not been explored across the Great Lakes basin. Boosted regression tree (BRT) analyses were used to develop predictive models of CEC occurrence in water and sediment throughout 24 U.S. tributaries to the Great Lakes. Models were based on the distribution of both broad-scale and source-related watershed characteristics. Twenty-one upstream watershed characteristics, including land cover, number of permitted point sources, and distance to point sources were used to develop models predicting the probability of CEC occurrence in surface water and bottom sediment. Total accuracy of BRT models ranged from 66% to 94% for both matrices. All 21 watershed characteristics were important predictor variables in at least one surface-water model; twenty were important in at least one bottom-sediment model. Among the model variables, developed land use and distance to point sources were important predictors of the presence of CEC classes in both water and sediment. Although limitations exist, BRT models are one tool available for assessing vulnerability of fisheries and aquatic resources to CEC occurrences.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.09.201","usgsCitation":"Kiesling, R.L., Elliott, S.M., Kammel, L.E., Choy, S.J., and Hummel, S.E., 2019, Predicting the occurrence of chemicals of emerging concern in surface water and sediment across the U.S. portion of the Great Lakes Basin: Science of the Total Environment, v. 651, no. 1, p. 838-850, https://doi.org/10.1016/j.scitotenv.2018.09.201.","productDescription":"13 p.","startPage":"838","endPage":"850","ipdsId":"IP-096874","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":468090,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.09.201","text":"Publisher Index Page"},{"id":437631,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7ZK5FXJ","text":"USGS data release","linkHelpText":"Surface water and bottom sediment chemical data and landscape variable input datasets for predicting the occurrence of chemicals of emerging concern in 25 U.S. river basins in the Great Lakes basin"},{"id":379917,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Lakes basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.900390625,\n              39.774769485295465\n            ],\n            [\n              -75.673828125,\n              39.774769485295465\n            ],\n            [\n              -75.673828125,\n              48.748945343432936\n            ],\n            [\n              -92.900390625,\n              48.748945343432936\n            ],\n            [\n              -92.900390625,\n              39.774769485295465\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"651","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kiesling, Richard L. 0000-0002-3017-1826 kiesling@usgs.gov","orcid":"https://orcid.org/0000-0002-3017-1826","contributorId":1837,"corporation":false,"usgs":true,"family":"Kiesling","given":"Richard","email":"kiesling@usgs.gov","middleInitial":"L.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":803417,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elliott, Sarah M. 0000-0002-1414-3024 selliott@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-3024","contributorId":1472,"corporation":false,"usgs":true,"family":"Elliott","given":"Sarah","email":"selliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":803418,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kammel, Leah E. lkammel@usgs.gov","contributorId":4778,"corporation":false,"usgs":true,"family":"Kammel","given":"Leah","email":"lkammel@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":803449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Choy, Steven J.","contributorId":138668,"corporation":false,"usgs":false,"family":"Choy","given":"Steven","email":"","middleInitial":"J.","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":803420,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hummel, Stephanie E.","contributorId":244149,"corporation":false,"usgs":false,"family":"Hummel","given":"Stephanie","email":"","middleInitial":"E.","affiliations":[{"id":25470,"text":"U.S. Fish & Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":803421,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70203749,"text":"70203749 - 2019 - El Niño increases high‐tide flooding in tidal wetlands along the U.S. Pacific coast.","interactions":[],"lastModifiedDate":"2019-06-07T15:46:00","indexId":"70203749","displayToPublicDate":"2018-09-17T15:39:38","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"El Niño increases high‐tide flooding in tidal wetlands along the U.S. Pacific coast.","docAbstract":"Periodic oscillations between El Niño and La Niña conditions in the Pacific Basin affect oceanographic and meteorological phenomena globally, with impacts on the abundance and distribution of marine species. However, El Niño effects on estuarine hydrology and tidal wetland processes have seldom been examined rigorously. We used detailed wetland elevation and local inundation data from 10 tidal wetlands located along the Pacific coast of the United States to assess changes in flooding during the 2015–2016 El Niño and to determine decadal‐scale relationships between estuarine sea‐level anomalies and Pacific Basin climate indices for this region. During the 2015–2016 El Niño all sites experienced significant increases in high‐tide water levels exceeding those predicted by astronomical tides, and increased flooding frequency during at least one of the El Niño subperiods relative to pre‐El Niño conditions. The magnitude of positive sea‐level anomalies varied by site (4–15 cm), with local hot spots of high water in southern Oregon, northern California, and Pt. Mugu lagoon in the Southern California Bight. Furthermore, over the last three decades of historic tide records, there were positive relationships between high‐tide sea‐level anomalies and equatorial Pacific Basin sea surface temperature anomalies across the region, and negative relationships with the Northern Oscillation Index. Increases of 1 °C in equatorial sea surface temperature were associated with 3–5 cm of increased high‐tide flooding at the sites. Elevated estuarine flooding associated with future El Niños could impact important tidal wetland processes and could be an additive stressor for wetlands facing accelerating sea‐level rise.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JG004677","usgsCitation":"Goodman, A., Thorne, K., Buffington, K., Freeman, C.M., and Janousek, C.N., 2019, El Niño increases high‐tide flooding in tidal wetlands along the U.S. Pacific coast.: Journal of Geophysical Research, v. 123, no. 10, p. 3162-3177, https://doi.org/10.1029/2018JG004677.","productDescription":"16 p.","startPage":"3162","endPage":"3177","ipdsId":"IP-101364","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":468091,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jg004677","text":"Publisher Index Page"},{"id":364528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","otherGeospatial":"Pacific Coast","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -128.408203125,\n              48.922499263758255\n            ],\n            [\n              -125.24414062499999,\n              40.58058466412761\n            ],\n            [\n              -122.6953125,\n              35.96022296929667\n            ],\n            [\n              -118.30078125,\n              32.32427558887655\n            ],\n            [\n              -115.927734375,\n              32.54681317351514\n            ],\n            [\n              -118.91601562499999,\n              35.817813158696616\n            ],\n            [\n              -122.78320312499999,\n              40.64730356252251\n            ],\n            [\n              -122.958984375,\n              48.22467264956519\n            ],\n            [\n              -128.408203125,\n              48.922499263758255\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"123","issue":"10","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Goodman, Arianna 0000-0001-6156-7949","orcid":"https://orcid.org/0000-0001-6156-7949","contributorId":216130,"corporation":false,"usgs":false,"family":"Goodman","given":"Arianna","email":"","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":763948,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thorne, Karen M. 0000-0002-1381-0657","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":204579,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":763947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buffington, Kevin J. 0000-0001-9741-1241 kbuffington@usgs.gov","orcid":"https://orcid.org/0000-0001-9741-1241","contributorId":4775,"corporation":false,"usgs":true,"family":"Buffington","given":"Kevin","email":"kbuffington@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":763949,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Freeman, Chase M. 0000-0003-4211-6709 cfreeman@usgs.gov","orcid":"https://orcid.org/0000-0003-4211-6709","contributorId":150052,"corporation":false,"usgs":true,"family":"Freeman","given":"Chase","email":"cfreeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":763950,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Janousek, Christopher N. 0000-0003-2124-6715","orcid":"https://orcid.org/0000-0003-2124-6715","contributorId":103951,"corporation":false,"usgs":false,"family":"Janousek","given":"Christopher","email":"","middleInitial":"N.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":763951,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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