Brine samples were collected from 30 conventional oil wells producing mostly from the Charles Formation of the Madison Group in the East and Northwest Poplar oil fields on the Fort Peck Indian Reservation, Montana. Dissolved concentrations of major ions, trace metals, Sr isotopes, and stable isotopes (oxygen and hydrogen) were analyzed to compare with a brine contaminant that affected groundwater northeast of the town of Poplar. Two groups of brine compositions, designated group I and group II, are identified on the basis of chemistry and 87Sr/86Sr ratios. The solute chemistry and Sr isotopic composition of group I brines are consistent with long-term residency in Mississippian carbonate rocks, and brines similar to these contaminated the groundwater. Group II brines probably resided in clastic rocks younger than the Mississippian limestones before moving into the Poplar dome to replenish the long-term fluid extraction from the Charles Formation. Collapse of strata at the crest of the Poplar dome resulting from dissolution of Charles salt in the early Paleogene probably developed pathways for the ingress of group II brines from overlying clastic aquifers into the Charles reservoir. Such changes in brine chemistry associated with long-term oil production may be a widespread phenomenon in the Williston Basin.
","language":"English","publisher":"American Association of Petroleum Geologists","doi":"10.1306/05261615114","usgsCitation":"Peterman, Z.E., and Thamke, J., 2016, Chemical and isotopic changes in Williston Basin brines during long-term oil production: An example from the Poplar dome, Montana: AAPG Bulletin, v. 100, no. 10, p. 1619-1632, https://doi.org/10.1306/05261615114.","productDescription":"14 p.","startPage":"1619","endPage":"1632","ipdsId":"IP-066379","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":331392,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","volume":"100","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"584144dee4b04fc80e50739b","contributors":{"authors":[{"text":"Peterman, Zell E. 0000-0002-5694-8082 peterman@usgs.gov","orcid":"https://orcid.org/0000-0002-5694-8082","contributorId":167699,"corporation":false,"usgs":true,"family":"Peterman","given":"Zell","email":"peterman@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":654631,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thamke, Joanna N. 0000-0002-6917-1946 jothamke@usgs.gov","orcid":"https://orcid.org/0000-0002-6917-1946","contributorId":1012,"corporation":false,"usgs":true,"family":"Thamke","given":"Joanna N.","email":"jothamke@usgs.gov","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":654632,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70182465,"text":"70182465 - 2016 - Shrinking windows of opportunity for oak seedling establishment in southern California mountains","interactions":[],"lastModifiedDate":"2017-02-23T13:22:00","indexId":"70182465","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Shrinking windows of opportunity for oak seedling establishment in southern California mountains","docAbstract":"Seedling establishment is a critical step that may ultimately govern tree species’ distribution shifts under environmental change. Annual variation in the location of seed rain and microclimates results in transient “windows of opportunity” for tree seedling establishment across the landscape. These establishment windows vary at fine spatiotemporal scales that are not considered in most assessments of climate change impacts on tree species range dynamics and habitat displacement. We integrate field seedling establishment trials conducted in the southern Sierra Nevada and western Tehachapi Mountains of southern California with spatially downscaled grids of modeled water-year climatic water deficit (CWDwy) and mean August maximum daily temperature (Tmax) to map historical and projected future microclimates suitable for establishment windows of opportunity for Quercus douglasii, a dominant tree species of warm, dry foothill woodlands, and Q. kelloggii, a dominant of cooler, more mesic montane woodlands and forests. Based on quasi-binomial regression models, Q. douglasii seedling establishment is significantly associated with modeled CWDwy and to a lesser degree with modeled Tmax. Q. kelloggii seedling establishment is most strongly associated with Tmax and best predicted by a two-factor model including CWDwy and Tmax. Establishment niche models are applied to explore recruitment window dynamics in the western Tehachapi Mountains, where these species are currently widespread canopy dominants. Establishment windows are projected to decrease by 50–95%, shrinking locally to higher elevations and north-facing slopes by the end of this century depending on the species and climate scenario. These decreases in establishment windows suggest the potential for longer-term regional population declines of the species. While many additional processes regulate seedling establishment and growth, this study highlights the need to account for topoclimatic controls and interannual climatic variation when assessing how seedling establishment and colonization processes could be affected by climate change.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1573","usgsCitation":"Davis, F., Sweet, L.C., Serra-Diaz, J.M., Franklin, J., McCullough, I.M., Flint, A.L., Flint, L.E., Dingman, J., Regan, H.M., Syphard, A.D., Hannah, L., Redmond, K., and Moritz, M., 2016, Shrinking windows of opportunity for oak seedling establishment in southern California mountains: Ecosphere, v. 7, no. 11, p. 1-18, https://doi.org/10.1002/ecs2.1573.","productDescription":"e01573; 18 p.","startPage":"1","endPage":"18","ipdsId":"IP-070742","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":470458,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1573","text":"Publisher Index Page"},{"id":336110,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.10229492187501,\n 34.125447565116126\n ],\n [\n -118.20190429687501,\n 34.125447565116126\n ],\n [\n -118.20190429687501,\n 37.17782559332976\n ],\n [\n -121.10229492187501,\n 37.17782559332976\n ],\n [\n -121.10229492187501,\n 34.125447565116126\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"11","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-10","publicationStatus":"PW","scienceBaseUri":"58b002c6e4b01ccd54fb27cb","contributors":{"authors":[{"text":"Davis, Frank W.","contributorId":127849,"corporation":false,"usgs":false,"family":"Davis","given":"Frank W.","affiliations":[{"id":7168,"text":"UCSB","active":true,"usgs":false}],"preferred":false,"id":671195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sweet, Lynn 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Group","active":true,"usgs":false}],"preferred":false,"id":671258,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":671198,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":671194,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dingman, John jdingman@usgs.gov","contributorId":5431,"corporation":false,"usgs":true,"family":"Dingman","given":"John","email":"jdingman@usgs.gov","affiliations":[],"preferred":true,"id":671259,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Regan, Helen M.","contributorId":149953,"corporation":false,"usgs":false,"family":"Regan","given":"Helen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":671260,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Syphard, Alexandra D.","contributorId":8977,"corporation":false,"usgs":false,"family":"Syphard","given":"Alexandra","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":671261,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hannah, Lee","contributorId":147796,"corporation":false,"usgs":false,"family":"Hannah","given":"Lee","affiliations":[{"id":16938,"text":"Conservation International","active":true,"usgs":false}],"preferred":false,"id":671262,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Redmond, Kelly","contributorId":173364,"corporation":false,"usgs":false,"family":"Redmond","given":"Kelly","affiliations":[],"preferred":false,"id":671263,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Moritz, Max A.","contributorId":57586,"corporation":false,"usgs":false,"family":"Moritz","given":"Max A.","affiliations":[],"preferred":false,"id":671264,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70178721,"text":"70178721 - 2016 - Application of decision science to resilience management in Jamaica Bay","interactions":[],"lastModifiedDate":"2017-03-28T09:02:12","indexId":"70178721","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Application of decision science to resilience management in Jamaica Bay","docAbstract":"This book highlights the growing interest in management interventions designed to enhance the resilience of the Jamaica Bay socio-ecological system. Effective management, whether the focus is on managing biological processes or human behavior or (most likely) both, requires decision makers to anticipate how the managed system will respond to interventions (i.e., via predictions or projections). In systems characterized by many interacting components and high uncertainty, making probabilistic predictions is often difficult and requires careful thinking not only about system dynamics, but also about how management objectives are specified and the analytic method used to select the preferred action(s). Developing a clear statement of the problem(s) and articulation of management objectives is often best achieved by including input from managers, scientists and other stakeholders affected by the decision through a process of joint problem framing (Marcot and others 2012; Keeney and others 1990). Using a deliberate, coherent and transparent framework for deciding among management alternatives to best meet these objectives then ensures a greater likelihood for successful intervention. Decision science provides the theoretical and practical basis for developing this framework and applying decision analysis methods for making complex decisions under uncertainty and risk.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Prospects for resilience: Insights from New York City's Jamaica Bay ","language":"English","publisher":"Island Press","publisherLocation":"Washington, D.C.","usgsCitation":"Eaton, M.J., Fuller, A.K., Johnson, F.A., Hare, M.P., and Stedman, R.C., 2016, Application of decision science to resilience management in Jamaica Bay, chap. of Prospects for resilience: Insights from New York City's Jamaica Bay , p. 217-237.","productDescription":"21 p.","startPage":"217","endPage":"237","ipdsId":"IP-065041","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":335784,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":338435,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://islandpress.org/book/prospects-for-resilience"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58a6c82ee4b025c46428626e","contributors":{"editors":[{"text":"Sanderson, E.W.","contributorId":6413,"corporation":false,"usgs":true,"family":"Sanderson","given":"E.W.","email":"","affiliations":[],"preferred":false,"id":686468,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Solecki, W. D.","contributorId":189916,"corporation":false,"usgs":false,"family":"Solecki","given":"W.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":686469,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Waldman, J.R.","contributorId":85919,"corporation":false,"usgs":true,"family":"Waldman","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":686470,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Paris, A. S.","contributorId":189917,"corporation":false,"usgs":false,"family":"Paris","given":"A.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":686471,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Eaton, Mitchell J. 0000-0001-7324-6333 meaton@usgs.gov","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":169429,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","email":"meaton@usgs.gov","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":654914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":654915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":654913,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hare, M. P.","contributorId":189915,"corporation":false,"usgs":false,"family":"Hare","given":"M.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":686467,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stedman, Richard C.","contributorId":171461,"corporation":false,"usgs":false,"family":"Stedman","given":"Richard","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":654916,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192022,"text":"70192022 - 2016 - Microrefuges and the occurrence of thermal specialists: implications for wildlife persistence amidst changing temperatures","interactions":[],"lastModifiedDate":"2017-10-19T15:05:42","indexId":"70192022","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5385,"text":"Climate Change Responses","active":true,"publicationSubtype":{"id":10}},"title":"Microrefuges and the occurrence of thermal specialists: implications for wildlife persistence amidst changing temperatures","docAbstract":"Background
Contemporary climate change is affecting nearly all biomes, causing shifts in animal distributions, phenology, and persistence. Favorable microclimates may buffer organisms against rapid changes in climate, thereby allowing time for populations to adapt. The degree to which microclimates facilitate the local persistence of climate-sensitive species, however, is largely an open question. We addressed the importance of microrefuges in mammalian thermal specialists, using the American pika (Ochotona princeps) as a model organism. Pikas are sensitive to ambient temperatures, and are active year-round in the alpine where conditions are highly variable. We tested four hypotheses about the relationship between microrefuges and pika occurrence: 1) Local-habitat Hypothesis (local-habitat conditions are paramount, regardless of microrefuge); 2) Surface-temperature Hypothesis (surrounding temperatures, unmoderated by microrefuge, best predict occurrence); 3) Interstitial-temperature Hypothesis (temperatures within microrefuges best predict occurrence), and 4) Microrefuge Hypothesis (the degree to which microrefuges moderate the surrounding temperature facilitates occurrence, regardless of other habitat characteristics). We examined pika occurrence at 146 sites across an elevational gradient. We quantified pika presence, physiographic habitat characteristics and forage availability at each site, and deployed paired temperature loggers at a subset of sites to measure surface and subterranean temperatures.
Results
We found strong support for the Microrefuge Hypothesis. Pikas were more likely to occur at sites where the subsurface environment substantially moderated surface temperatures, especially during the warm season. Microrefugium was the strongest predictor of pika occurrence, independent of other critical habitat characteristics, such as forage availability.
Conclusions
By modulating surface temperatures, microrefuges may strongly influence where temperature-limited animals persist in rapidly warming environments. As climate change continues to manifest, efforts to understand the changing dynamics of animal-habitat relationships will be enhanced by considering the quality of microrefuges.
To assess the complexity of eruptive activity within mafic volcanic fields, we present a detailed geologic investigation of Holocene volcanism in the upper McKenzie River catchment in the central Oregon Cascades, United States. We focus on the Sand Mountain volcanic field, which covers 76 km2 and consists of 23 vents, associated tephra deposits, and lava fields. We find that the Sand Mountain volcanic field was active for a few decades around 3 ka and involved at least 13 eruptive units. Despite the small total volume erupted (∼1 km3 dense rock equivalent [DRE]), Sand Mountain volcanic field lava geochemistry indicates that erupted magmas were derived from at least two, and likely three, different magma sources. Single units erupted from one or more vents, and field data provide evidence of both vent migration and reoccupation. Overall, our study shows that mafic volcanism was clustered in space and time, involved both explosive and effusive behavior, and tapped several magma sources. These observations provide important insights on possible future hazards from mafic volcanism in the central Oregon Cascades.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/B31405.1","usgsCitation":"Deligne, N.I., Conrey, R.M., Cashman, K.V., Champion, D.E., and Amidon, W.H., 2016, Holocene volcanism of the upper McKenzie River catchment, central Oregon Cascades, USA: Geological Society of America Bulletin, v. 128, no. 11-12, p. 1618-1635, https://doi.org/10.1130/B31405.1.","productDescription":"17 p.","startPage":"1618","endPage":"1635","ipdsId":"IP-069303","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":348199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"128","issue":"11-12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-11","publicationStatus":"PW","scienceBaseUri":"5a003151e4b0531197b5a752","contributors":{"authors":[{"text":"Deligne, Natalia I.","contributorId":194343,"corporation":false,"usgs":false,"family":"Deligne","given":"Natalia","email":"","middleInitial":"I.","affiliations":[{"id":13025,"text":"Department of Geological Sciences, University of Oregon","active":true,"usgs":false}],"preferred":false,"id":720031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conrey, Richard M.","contributorId":194345,"corporation":false,"usgs":false,"family":"Conrey","given":"Richard","email":"","middleInitial":"M.","affiliations":[{"id":13203,"text":"School of the Environment, Washington State University","active":true,"usgs":false}],"preferred":false,"id":720032,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cashman, Katharine V.","contributorId":199542,"corporation":false,"usgs":false,"family":"Cashman","given":"Katharine","email":"","middleInitial":"V.","affiliations":[{"id":13025,"text":"Department of Geological Sciences, University of Oregon","active":true,"usgs":false}],"preferred":false,"id":720033,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Champion, Duane E. 0000-0001-7854-9034 dchamp@usgs.gov","orcid":"https://orcid.org/0000-0001-7854-9034","contributorId":2912,"corporation":false,"usgs":true,"family":"Champion","given":"Duane","email":"dchamp@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":720030,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Amidon, William H.","contributorId":199781,"corporation":false,"usgs":false,"family":"Amidon","given":"William","email":"","middleInitial":"H.","affiliations":[{"id":27844,"text":"Middlebury College","active":true,"usgs":false}],"preferred":false,"id":720034,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70170679,"text":"70170679 - 2016 - Landsat 8: The plans, the reality, and the legacy","interactions":[],"lastModifiedDate":"2017-04-07T13:53:20","indexId":"70170679","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Landsat 8: The plans, the reality, and the legacy","docAbstract":"Landsat 8, originally known as the Landsat Data Continuity Mission (LDCM), is a National Aeronautics and Space Administration (NASA)-U.S. Geological Survey (USGS) partnership that continues the legacy of continuous moderate resolution observations started in 1972. The conception of LDCM to the reality of Landsat 8 followed an arduous path extending over nearly 13 years, but the successful launch on February 11, 2013 ensures the continuity of the unparalleled Landsat record. The USGS took over mission operations on May 30, 2013 and renamed LCDM to Landsat 8. Access to Landsat 8 data was opened to users worldwide. Three years following launch we evaluate the science and applications impact of Landsat 8. With a mission objective to enable the detection and characterization of global land changes at a scale where differentiation between natural and human-induced causes of change is possible, LDCM promised incremental technical improvements in capabilities needed for Landsat scientific and applications investigations. Results show that with Landsat 8, we are acquiring more data than ever before, the radiometric and geometric quality of data are generally technically superior to data acquired by past Landsat missions, and the new measurements, e.g., the coastal aerosol and cirrus bands, are opening new opportunities. Collectively, these improvements are sparking the growth of science and applications opportunities. Equally important, with Landsat 7 still operational, we have returned to global imaging on an 8-day cycle, a capability that ended when Landsat 5 ceased operational Earth imaging in November 2011. As a result, the Landsat program is on secure footings and planning is underway to extend the record for another 20 or more years.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2016.07.033","usgsCitation":"Loveland, T.R., and Irons, J.R., 2016, Landsat 8: The plans, the reality, and the legacy: Remote Sensing of Environment, v. 185, p. 1-6, https://doi.org/10.1016/j.rse.2016.07.033.","productDescription":"6 p.","startPage":"1","endPage":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-074490","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":470463,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2016.07.033","text":"Publisher Index Page"},{"id":331816,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"185","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"584bd0dce4b077fc20250e04","contributors":{"authors":[{"text":"Loveland, Thomas R. 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":140256,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas","email":"loveland@usgs.gov","middleInitial":"R.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":628069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irons, James R.","contributorId":59284,"corporation":false,"usgs":false,"family":"Irons","given":"James","email":"","middleInitial":"R.","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":628070,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70191147,"text":"70191147 - 2016 - Assessing the role of climate and resource management on groundwater dependent ecosystem changes in arid environments with the Landsat archive","interactions":[],"lastModifiedDate":"2017-09-27T17:15:13","indexId":"70191147","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the role of climate and resource management on groundwater dependent ecosystem changes in arid environments with the Landsat archive","docAbstract":"Groundwater dependent ecosystems (GDEs) rely on near-surface groundwater. These systems are receiving more attention with rising air temperature, prolonged drought, and where groundwater pumping captures natural groundwater discharge for anthropogenic use. Phreatophyte shrublands, meadows, and riparian areas are GDEs that provide critical habitat for many sensitive species, especially in arid and semi-arid environments. While GDEs are vital for ecosystem services and function, their long-term (i.e. ~ 30 years) spatial and temporal variability is poorly understood with respect to local and regional scale climate, groundwater, and rangeland management. In this work, we compute time series of NDVI derived from sensors of the Landsat TM, ETM +, and OLI lineage for assessing GDEs in a variety of land and water management contexts. Changes in vegetation vigor based on climate, groundwater availability, and land management in arid landscapes are detectable with Landsat. However, the effective quantification of these ecosystem changes can be undermined if changes in spectral bandwidths between different Landsat sensors introduce biases in derived vegetation indices, and if climate, and land and water management histories are not well understood. The objective of this work is to 1) use the Landsat 8 under-fly dataset to quantify differences in spectral reflectance and NDVI between Landsat 7 ETM + and Landsat 8 OLI for a range of vegetation communities in arid and semiarid regions of the southwestern United States, and 2) demonstrate the value of 30-year historical vegetation index and climate datasets for assessing GDEs. Specific study areas were chosen to represent a range of GDEs and environmental conditions important for three scenarios: baseline monitoring of vegetation and climate, riparian restoration, and groundwater level changes. Google's Earth Engine cloud computing and environmental monitoring platform is used to rapidly access and analyze the Landsat archive along with downscaled North American Land Data Assimilation System gridded meteorological data, which are used for both atmospheric correction and correlation analysis. Results from the cross-sensor comparison indicate a benefit from the application of a consistent atmospheric correction method, and that NDVI derived from Landsat 7 and 8 are very similar within the study area. Results from continuous Landsat time series analysis clearly illustrate that there are strong correlations between changes in vegetation vigor, precipitation, evaporative demand, depth to groundwater, and riparian restoration. Trends in summer NDVI associated with riparian restoration and groundwater level changes were found to be statistically significant, and interannual summer NDVI was found to be moderately correlated to interannual water-year precipitation for baseline study sites. Results clearly highlight the complementary relationship between water-year PPT, NDVI, and evaporative demand, and are consistent with regional vegetation index and complementary relationship studies. This work is supporting land and water managers for evaluation of GDEs with respect to climate, groundwater, and resource management.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2016.07.004","usgsCitation":"Huntington, J., McGwire, K.C., Morton, C., Snyder, K.A., Peterson, S., Erickson, T., Niswonger, R., Carroll, R.W., Smith, G., and Allen, R., 2016, Assessing the role of climate and resource management on groundwater dependent ecosystem changes in arid environments with the Landsat archive: Remote Sensing of Environment, v. 185, p. 186-197, https://doi.org/10.1016/j.rse.2016.07.004.","productDescription":"12 p.","startPage":"186","endPage":"197","ipdsId":"IP-072882","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":470547,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2016.07.004","text":"Publisher Index Page"},{"id":346143,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"185","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59ccb8a6e4b017cf314383de","contributors":{"authors":[{"text":"Huntington, Justin","contributorId":33413,"corporation":false,"usgs":true,"family":"Huntington","given":"Justin","affiliations":[],"preferred":false,"id":711359,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGwire, Kenneth C.","contributorId":140699,"corporation":false,"usgs":false,"family":"McGwire","given":"Kenneth","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":711360,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morton, Charles","contributorId":178787,"corporation":false,"usgs":false,"family":"Morton","given":"Charles","affiliations":[],"preferred":false,"id":711361,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Snyder, Keirith A.","contributorId":178786,"corporation":false,"usgs":false,"family":"Snyder","given":"Keirith","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":711362,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peterson, Sarah","contributorId":196734,"corporation":false,"usgs":false,"family":"Peterson","given":"Sarah","affiliations":[],"preferred":false,"id":711363,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Erickson, Tyler","contributorId":196735,"corporation":false,"usgs":false,"family":"Erickson","given":"Tyler","affiliations":[],"preferred":false,"id":711364,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Niswonger, Richard G. rniswon@usgs.gov","contributorId":140377,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard G.","email":"rniswon@usgs.gov","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":false,"id":711365,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Carroll, Rosemary W.H.","contributorId":39928,"corporation":false,"usgs":true,"family":"Carroll","given":"Rosemary","email":"","middleInitial":"W.H.","affiliations":[],"preferred":false,"id":711366,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smith, Guy","contributorId":196736,"corporation":false,"usgs":false,"family":"Smith","given":"Guy","email":"","affiliations":[],"preferred":false,"id":711367,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Allen, Richard","contributorId":86694,"corporation":false,"usgs":true,"family":"Allen","given":"Richard","affiliations":[],"preferred":false,"id":711368,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70174906,"text":"fs20163053 - 2016 - Water clarity of the Colorado River—Implications for food webs and fish communities","interactions":[],"lastModifiedDate":"2016-11-01T15:36:18","indexId":"fs20163053","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-3053","title":"Water clarity of the Colorado River—Implications for food webs and fish communities","docAbstract":"The closure of Glen Canyon Dam in 1963 resulted in drastic changes to water clarity, temperature, and flow of the Colorado River in Glen, Marble, and Grand Canyons. The Colorado River is now much clearer, water temperature is less variable throughout the year, and the river is much colder in the summer months. The flow—regulated by the dam—is now less variable annually, but has larger daily fluctuations than during pre-dam times. All of these changes have resulted in a different fish community and different food resources for fish than existed before the dam was built. Recent monitoring of water clarity, by measuring turbidity, has helped scientists and river managers understand modern water-clarity patterns in the dam-regulated Colorado River. These data were then used to estimate pre-dam turbidity in the Colorado River in order to make comparisons of pre-dam and dam-regulated conditions, which are useful for assessing biological changes in the river over time. Prior to dam construction, the large sediment load resulted in low water clarity almost all of the time, a condition which was more favorable for the native fish community.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163053","usgsCitation":"Voichick, N., Kennedy, T.A., Topping, D.J., Griffiths, R.E., and Fry, K.L., 2016, Water clarity of the Colorado River—Implications for food webs and fish communities: U.S. Geological Survey Fact Sheet 2016–5053, 4 p., https://dx.doi.org/10.3133/fs20163053.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"Y","ipdsId":"IP-067865","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":330598,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3053/fs20163053.pdf","text":"Report","size":"1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3053"},{"id":330597,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3053/coverthb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Nevada Utah, New Mexico","otherGeospatial":"Colorado River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.52392578125,\n 39.87601941962116\n ],\n [\n -104.62280273437499,\n 39.06184913429154\n ],\n [\n -106.226806640625,\n 38.487994609214795\n ],\n [\n -107.962646484375,\n 38.039438891821746\n ],\n [\n -108.06152343749999,\n 37.31775185163688\n ],\n [\n -108.6328125,\n 36.359374956015856\n ],\n [\n -109.16015624999999,\n 35.24561909420681\n ],\n [\n -109.127197265625,\n 32.90726224488304\n ],\n [\n -109.13818359375,\n 31.484893386890164\n ],\n [\n -111.126708984375,\n 31.316101383495624\n ],\n [\n -114.80712890625,\n 32.47269502206151\n ],\n [\n -114.697265625,\n 32.731840896865684\n ],\n [\n -114.93896484374999,\n 34.415973384481866\n ],\n [\n -114.97192382812499,\n 35.594785665487244\n ],\n [\n -114.78515624999999,\n 36.85325222344018\n ],\n [\n -114.32373046875,\n 37.49229399862877\n ],\n [\n -113.477783203125,\n 37.49229399862877\n ],\n [\n -112.19238281249999,\n 37.60552821745789\n ],\n [\n -111.236572265625,\n 38.09998264736481\n ],\n [\n -110.0830078125,\n 38.7283759182398\n ],\n [\n -109.281005859375,\n 39.554883059924016\n ],\n [\n -108.182373046875,\n 39.9434364619742\n ],\n [\n -106.3916015625,\n 39.93501296038254\n ],\n [\n -104.52392578125,\n 39.87601941962116\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"GCMRC Staff, Southwest Biological Science Center
U.S. Geological Survey
Grand Canyon Monitoring and Research Center
2255 N. Gemini Drive
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http://www.gcmrc.gov/
The Okaloosa Darter Etheostoma okaloosae is a small percid endemic to six stream drainages in northwestern Florida. The U.S. Fish and Wildlife Service listed Okaloosa Darters as endangered in 1973 and downlisted them to threatened in 2011 because of habitat improvements and increasing abundance across much of their geographic range. Delisting is possible if remaining recovery criteria are met, including restoration of degraded stream reaches. Impounded reaches of Anderson Branch, Mill Creek, and Toms Creek were restored by removing impediments to water flow, draining impoundments, and reconstructing stream reaches. Restorations of Anderson Branch and Mill Creek were designed to rehabilitate populations of Okaloosa Darters without significantly affecting popular recreational activities at these locations. Restorations were evaluated from 2007 to 2013 by comparing counts of Okaloosa Darters and the composition of microhabitats in restored and nearby undisturbed reference sites. Okaloosa Darters were absent from degraded stream reaches at the beginning of the study, but they rapidly colonized once restorations were completed. Counts of Okaloosa Darters in reference and restoration sites in Anderson Branch were similar by the end of the study, whereas counts in restoration sites were significantly lower than nearby reference sites in Mill and Toms creeks. Restoration sites tended to have lower coverage of sand and root and higher coverage of macrophytes. As riparian vegetation surrounding restoration sites matures to a closed canopy that reduces excessive growth of macrophytes, stream microhabitats and numbers of darters will probably become similar to reference sites. Restoration of degraded stream sites increased abundance and distribution of Okaloosa Darters and reconnected formerly isolated upstream and downstream populations. These projects demonstrated that restoration is a useful conservation tool for imperiled fishes such as Okaloosa Darters and can be undertaken without interfering with popular recreational activities.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2016.1227402","usgsCitation":"Reeves, D.B., Tate, W.B., Jelks, H.L., and Jordan, F., 2016, Response of imperiled Okaloosa darters to stream restoration: North American Journal of Fisheries Management, v. 36, no. 6, p. 1375-1385, https://doi.org/10.1080/02755947.2016.1227402.","productDescription":"11 p.","startPage":"1375","endPage":"1385","ipdsId":"IP-071744","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":335705,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.70272827148438,\n 30.496017831341284\n ],\n [\n -86.28662109375,\n 30.496017831341284\n ],\n [\n -86.28662109375,\n 30.92814479412135\n ],\n [\n -86.70272827148438,\n 30.92814479412135\n ],\n [\n -86.70272827148438,\n 30.496017831341284\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"6","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-07","publicationStatus":"PW","scienceBaseUri":"58a6c82ce4b025c46428626a","contributors":{"authors":[{"text":"Reeves, David B.","contributorId":181809,"corporation":false,"usgs":false,"family":"Reeves","given":"David","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":669607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tate, William B.","contributorId":181810,"corporation":false,"usgs":false,"family":"Tate","given":"William","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":669608,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jelks, Howard L. 0000-0002-0672-6297 hjelks@usgs.gov","orcid":"https://orcid.org/0000-0002-0672-6297","contributorId":168997,"corporation":false,"usgs":true,"family":"Jelks","given":"Howard","email":"hjelks@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":669606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jordan, Frank","contributorId":181811,"corporation":false,"usgs":false,"family":"Jordan","given":"Frank","email":"","affiliations":[],"preferred":false,"id":669609,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192824,"text":"70192824 - 2016 - Responses of a 58-story RC dual core shear wall and outrigger frame building inferred from two earthquakes","interactions":[],"lastModifiedDate":"2017-10-31T10:59:58","indexId":"70192824","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Responses of a 58-story RC dual core shear wall and outrigger frame building inferred from two earthquakes","docAbstract":"Responses of a dual core shear-wall and outrigger-framed 58-story building recorded during the Mw6.0 Napa earthquake of 24 August 2014 and the Mw3.8 Berkeley earthquake of 20 October 2011 are used to identify its dynamic characteristics and behavior. Fundamental frequencies are 0.28 Hz (NS), 0.25 Hz (EW), and 0.43 Hz (torsional). Rigid body motions due to rocking are not significant. Average drift ratios are small. Outrigger frames do not affect average drift ratios or mode shapes. Local site effects do not affect the response; however, response associated with deeper structure may be substantial. A beating effect is observed from data of both earthquakes but beating periods are not consistent. Low critical damping ratios may have contributed to the beating effect. Torsion is relatively larger above outriggers as indicated by the time-histories of motions at the roof, possibly due to the discontinuity of the stiffer shear walls above level 47.
","language":"English","publisher":"EERI","doi":"10.1193/011916EQS018M","usgsCitation":"Çelebi, M., 2016, Responses of a 58-story RC dual core shear wall and outrigger frame building inferred from two earthquakes: Earthquake Spectra, v. 32, no. 4, p. 2449-2471, https://doi.org/10.1193/011916EQS018M.","productDescription":"23 p.","startPage":"2449","endPage":"2471","ipdsId":"IP-070360","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347823,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Berkeley, Napa","volume":"32","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-01","publicationStatus":"PW","scienceBaseUri":"59f98bbae4b0531197afa00c","contributors":{"authors":[{"text":"Çelebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":3205,"corporation":false,"usgs":true,"family":"Çelebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":717081,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70185046,"text":"70185046 - 2016 - Spatio-temporal variation in age structure and abundance of the endangered snail kite: Pooling across regions masks a declining and aging population","interactions":[],"lastModifiedDate":"2017-03-13T16:31:18","indexId":"70185046","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","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":"Spatio-temporal variation in age structure and abundance of the endangered snail kite: Pooling across regions masks a declining and aging population","docAbstract":"While variation in age structure over time and space has long been considered important for population dynamics and conservation, reliable estimates of such spatio-temporal variation in age structure have been elusive for wild vertebrate populations. This limitation has arisen because of problems of imperfect detection, the potential for temporary emigration impacting assessments of age structure, and limited information on age. However, identifying patterns in age structure is important for making reliable predictions of both short- and long-term dynamics of populations of conservation concern. Using a multistate superpopulation estimator, we estimated region-specific abundance and age structure (the proportion of individuals within each age class) of a highly endangered population of snail kites for two separate regions in Florida over 17 years (1997–2013). We find that in the southern region of the snail kite—a region known to be critical for the long-term persistence of the species—the population has declined significantly since 1997, and during this time, it has increasingly become dominated by older snail kites (> 12 years old). In contrast, in the northern region—a region historically thought to serve primarily as drought refugia—the population has increased significantly since 2007 and age structure is more evenly distributed among age classes. Given that snail kites show senescence at approximately 13 years of age, where individuals suffer higher mortality rates and lower breeding rates, these results reveal an alarming trend for the southern region. Our work illustrates the importance of accounting for spatial structure when assessing changes in abundance and age distribution and the need for monitoring of age structure in imperiled species.
","language":"English","publisher":"PLOS ONE","doi":"10.1371/journal.pone.0162690","usgsCitation":"Reichert, B.E., Kendall, W., Fletcher, R.J., and Kitchens, W.M., 2016, Spatio-temporal variation in age structure and abundance of the endangered snail kite: Pooling across regions masks a declining and aging population: PLoS ONE, v. 11, no. 9, p. 1-18, https://doi.org/10.1371/journal.pone.0162690.","productDescription":"e0162690; 18 p.","startPage":"1","endPage":"18","ipdsId":"IP-074516","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470451,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0162690","text":"Publisher Index Page"},{"id":337473,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.24365234375,\n 25.512700007620513\n ],\n [\n -80.09033203125,\n 25.512700007620513\n ],\n [\n -80.09033203125,\n 28.5941685062326\n ],\n [\n -82.24365234375,\n 28.5941685062326\n ],\n [\n -82.24365234375,\n 25.512700007620513\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-28","publicationStatus":"PW","scienceBaseUri":"58c7af9ee4b0849ce9795e92","contributors":{"authors":[{"text":"Reichert, Brian E. 0000-0002-9640-0695","orcid":"https://orcid.org/0000-0002-9640-0695","contributorId":22166,"corporation":false,"usgs":true,"family":"Reichert","given":"Brian","email":"","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":684162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, William L. 0000-0003-0084-9891 wkendall@usgs.gov","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":166709,"corporation":false,"usgs":true,"family":"Kendall","given":"William L.","email":"wkendall@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":684064,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fletcher, Robert J. Jr.","contributorId":41294,"corporation":false,"usgs":true,"family":"Fletcher","given":"Robert","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":684163,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kitchens, Wiley M. kitchensw@usgs.gov","contributorId":2851,"corporation":false,"usgs":true,"family":"Kitchens","given":"Wiley","email":"kitchensw@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":684164,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70185055,"text":"70185055 - 2016 - Positive biodiversity-productivity relationship predominant in global forests","interactions":[],"lastModifiedDate":"2017-03-15T12:41:45","indexId":"70185055","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Positive biodiversity-productivity relationship predominant in global forests","docAbstract":"The relationship between biodiversity and ecosystem productivity has been explored in detail in herbaceous vegetation, but patterns in forests are far less well understood. Liang et al. have amassed a global forest data set from >770,000 sample plots in 44 countries. A positive and consistent relationship can be discerned between tree diversity and ecosystem productivity at landscape, country, and ecoregion scales. On average, a 10% loss in biodiversity leads to a 3% loss in productivity. This means that the economic value of maintaining biodiversity for the sake of global forest productivity is more than fivefold greater than global conservation costs.
","language":"English","publisher":"Science","doi":"10.1126/science.aaf8957","usgsCitation":"Liang, J., Crowther, T.W., Picard, N., Wiser, S., Zhou, M., Alberti, G., Schulze, E., McGuire, A.D., and et al., 2016, Positive biodiversity-productivity relationship predominant in global forests: Science, v. 354, no. 6309, 12 p., https://doi.org/10.1126/science.aaf8957.","productDescription":"12 p.","ipdsId":"IP-076166","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470456,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pure.knaw.nl/portal/en/publications/5d718d39-0a5b-44dc-a476-4fc94ec12084","text":"External Repository"},{"id":337630,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"354","issue":"6309","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ca52cde4b0849ce97c86a6","contributors":{"authors":[{"text":"Liang, Jingjing","contributorId":189197,"corporation":false,"usgs":false,"family":"Liang","given":"Jingjing","email":"","affiliations":[],"preferred":false,"id":684099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crowther, Thomas W.","contributorId":177398,"corporation":false,"usgs":false,"family":"Crowther","given":"Thomas","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":684100,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Picard, Nicolas","contributorId":189198,"corporation":false,"usgs":false,"family":"Picard","given":"Nicolas","email":"","affiliations":[],"preferred":false,"id":684101,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wiser, Susan","contributorId":189199,"corporation":false,"usgs":false,"family":"Wiser","given":"Susan","email":"","affiliations":[],"preferred":false,"id":684102,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhou, Mo","contributorId":189200,"corporation":false,"usgs":false,"family":"Zhou","given":"Mo","email":"","affiliations":[],"preferred":false,"id":684103,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Alberti, Giorgio","contributorId":189320,"corporation":false,"usgs":false,"family":"Alberti","given":"Giorgio","email":"","affiliations":[],"preferred":false,"id":684506,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schulze, Ernst-Detlef","contributorId":189321,"corporation":false,"usgs":false,"family":"Schulze","given":"Ernst-Detlef","email":"","affiliations":[],"preferred":false,"id":684507,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McGuire, Anthony D. 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":2493,"corporation":false,"usgs":true,"family":"McGuire","given":"Anthony","email":"ffadm@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":false,"id":684508,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"et al.","contributorId":128369,"corporation":true,"usgs":false,"organization":"et al.","id":684528,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70185056,"text":"70185056 - 2016 - The use of amino acid indices for assessing organic matter quality and microbial abundance in deep-sea Antarctic sediments of IODP Expedition 318","interactions":[],"lastModifiedDate":"2017-03-13T16:20:03","indexId":"70185056","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2662,"text":"Marine Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"The use of amino acid indices for assessing organic matter quality and microbial abundance in deep-sea Antarctic sediments of IODP Expedition 318","docAbstract":"The Adélie Basin, located offshore of the Wilkes Land margin, experiences unusually high sedimentation rates (~ 2 cm yr− 1) for the Antarctic coast. This study sought to compare depthwise changes in organic matter (OM) quantity and quality with changes in microbial biomass with depth at this high-deposition site and an offshore continental margin site. Sediments from both sites were collected during the International Ocean Drilling (IODP) Program Expedition 318. Viable microbial biomass was estimated from concentrations of bacterial-derived phospholipid fatty acids, while OM quality was assessed using four different amino acid degradation proxies. Concentrations of total hydrolysable amino acids (THAA) measured from the continental margin suggest an oligotrophic environment, with THAA concentrations representing only 2% of total organic carbon with relative proportions of non-protein amino acids β-alanine and γ-aminobutyric acid as high as 40%. In contrast, THAA concentrations from the near-shore Adélie Basin represent 40%–60% of total organic carbon. Concentrations of β-alanine and γ-aminobutyric acid were often below the detection limit and suggest that the OM of the basin as labile. DI values in surface sediments at the Adélie and margin sites were measured to be + 0.78 and − 0.76, reflecting labile and more recalcitrant OM, respectively. Greater DI values in deeper and more anoxic portions of both cores correlated positively with increased relative concentrations of phenylalanine plus tyrosine and may represent a change of redox conditions, rather than OM quality. This suggests that DI values calculated along chemical profiles should be interpreted with caution. THAA concentrations, the percentage of organic carbon (CAA%) and total nitrogen (NAA%) represented by amino acids at both sites demonstrated a significant positive correlation with bacterial abundance estimates. These data suggest that the selective degradation of amino acids, as indicated by THAA concentrations, CAA% or NAA% values may be a better proxy for describing the general changes in sedimentary bacterial abundances than total organic matter or bulk sedimentation rates.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marchem.2016.08.002","usgsCitation":"Carr, S., Mills, C., and Mandernack, K.W., 2016, The use of amino acid indices for assessing organic matter quality and microbial abundance in deep-sea Antarctic sediments of IODP Expedition 318: Marine Chemistry, v. 186, p. 72-82, https://doi.org/10.1016/j.marchem.2016.08.002.","productDescription":"11 p.","startPage":"72","endPage":"82","ipdsId":"IP-076259","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":337469,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"186","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c7af9ee4b0849ce9795e8a","contributors":{"authors":[{"text":"Carr, Stephanie A","contributorId":189201,"corporation":false,"usgs":false,"family":"Carr","given":"Stephanie A","affiliations":[],"preferred":false,"id":684105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mills, Christopher T. 0000-0001-8414-1414 cmills@usgs.gov","orcid":"https://orcid.org/0000-0001-8414-1414","contributorId":150137,"corporation":false,"usgs":true,"family":"Mills","given":"Christopher T.","email":"cmills@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":684104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mandernack, Kevin W","contributorId":189202,"corporation":false,"usgs":false,"family":"Mandernack","given":"Kevin","email":"","middleInitial":"W","affiliations":[],"preferred":false,"id":684106,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70178336,"text":"70178336 - 2016 - Phenology of the adult angel lichen moth (Cisthene angelus) in Grand Canyon, USA","interactions":[],"lastModifiedDate":"2016-11-14T12:41:26","indexId":"70178336","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3451,"text":"Southwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Phenology of the adult angel lichen moth (Cisthene angelus) in Grand Canyon, USA","docAbstract":"We investigated the phenology of adult angel lichen moths (Cisthene angelus) along a 364-km long segment of the Colorado River in Grand Canyon, Arizona, USA, using a unique data set of 2,437 light-trap samples collected by citizen scientists. We found that adults of C. angelus were bivoltine from 2012 to 2014. We quantified plasticity in wing lengths and sex ratios among the two generations and across a 545-m elevation gradient. We found that abundance, but not wing length, increased at lower elevations and that the two generations differed in size and sex distributions. Our results shed light on the life history and morphology of a common, but poorly known, species of moth endemic to the southwestern United States and Mexico.
","language":"English","publisher":"Southwestern Association of Naturalists","doi":"10.1894/0038-4909-61.3.233","usgsCitation":"Metcalfe, A.N., Kennedy, T., and Muehlbauer, J.D., 2016, Phenology of the adult angel lichen moth (Cisthene angelus) in Grand Canyon, USA: Southwestern Naturalist, v. 61, no. 3, p. 233-240, https://doi.org/10.1894/0038-4909-61.3.233.","productDescription":"8 p.","startPage":"233","endPage":"240","ipdsId":"IP-075941","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":438516,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7154F5S","text":"USGS data release","linkHelpText":"Angel Lichen Moth Abundance and Morphology Data, Grand Canyon, AZ, 2012"},{"id":330975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.14245605468749,\n 35.60818490437746\n ],\n [\n -114.14245605468749,\n 37.23470197166817\n ],\n [\n -110.972900390625,\n 37.23470197166817\n ],\n [\n -110.972900390625,\n 35.60818490437746\n ],\n [\n -114.14245605468749,\n 35.60818490437746\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"61","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"582adb45e4b0c253bdfff0b3","contributors":{"authors":[{"text":"Metcalfe, Anya N. 0000-0002-6286-4889 ametcalfe@usgs.gov","orcid":"https://orcid.org/0000-0002-6286-4889","contributorId":5271,"corporation":false,"usgs":true,"family":"Metcalfe","given":"Anya","email":"ametcalfe@usgs.gov","middleInitial":"N.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":653631,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennedy, Theodore A. tkennedy@usgs.gov","contributorId":3320,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore A.","email":"tkennedy@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":653632,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muehlbauer, Jeffrey D. 0000-0003-1808-580X jmuehlbauer@usgs.gov","orcid":"https://orcid.org/0000-0003-1808-580X","contributorId":5045,"corporation":false,"usgs":true,"family":"Muehlbauer","given":"Jeffrey","email":"jmuehlbauer@usgs.gov","middleInitial":"D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":653633,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70179804,"text":"70179804 - 2016 - Regional meteorological drivers and long term trends of winter-spring nitrate dynamics across watersheds in northeastern North America","interactions":[],"lastModifiedDate":"2017-01-19T10:24:25","indexId":"70179804","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Regional meteorological drivers and long term trends of winter-spring nitrate dynamics across watersheds in northeastern North America","docAbstract":"This study evaluated the contribution of winter rain-on-snow (ROS) events to annual and seasonal nitrate (N-NO3) export and identified the regional meteorological drivers of inter-annual variability in ROS N-NO3 export (ROS-N) at 9 headwater streams located across Ontario, Canada and the northeastern United States. Although on average only 3.3 % of annual precipitation fell as ROS during winter over the study period, these events contributed a significant proportion of annual and winter N-NO3 export at the majority of sites (average of 12 and 42 %, respectively); with the exception of the most northern catchment, where total winter precipitation was exceptionally low (average 77 mm). In years with a greater magnitude of ROS events, the timing of the peak N-NO3 export period (during spring melt) was redistributed to earlier in the year. Variability in ROS frequency and magnitude amongst sites was high and a generalised linear model demonstrated that this spatial variability could be explained by interactive effects between regional and site-specific drivers. Snowpack coverage was particularly important for explaining the site-specific ROS response. Specifically, ROS events were less common when higher temperatures eliminated snow cover despite increasing the proportion of winter rainfall, whereas ROS event frequency was greater at sites where sufficient snow cover remained. This research suggests that catchment response to changes in N deposition is sensitive to climate change; a vulnerability which appears to vary in intensity throughout the seasonally snow-covered temperate region. Furthermore, the sensitivity of stream N-NO3 export to ROS events and potential shifts (earlier) in the timing of N-NO3 export relative to other nutrients affect downstream nutrient stoichiometry and the community composition of phytoplankton and other algae.","language":"English","publisher":"Springer International Publishing Switzerland","doi":"10.1007/s10533-016-0255-z","collaboration":"USGS","usgsCitation":"Crossman, J., Eimers, M.C., Casson, N.J., Burns, D.A., Campbell, J.L., Likens, G.E., Mitchell, M., Nelson, S.J., Shanley, J.B., Watmough, S.A., and Webster, K.L., 2016, Regional meteorological drivers and long term trends of winter-spring nitrate dynamics across watersheds in northeastern North America: Biogeochemistry, v. 130, no. 3, p. 247-265, https://doi.org/10.1007/s10533-016-0255-z.","productDescription":"19 p. 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J.","contributorId":169271,"corporation":false,"usgs":false,"family":"Casson","given":"Nora","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":658761,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burns, Douglas A. 0000-0001-6516-2869 daburns@usgs.gov","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":1237,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas","email":"daburns@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":658758,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Campbell, John L.","contributorId":178410,"corporation":false,"usgs":false,"family":"Campbell","given":"John","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":658762,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Likens, Gene 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jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":658765,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Watmough, Shaun A.","contributorId":178413,"corporation":false,"usgs":false,"family":"Watmough","given":"Shaun","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":658766,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Webster, Kara L","contributorId":178414,"corporation":false,"usgs":false,"family":"Webster","given":"Kara","email":"","middleInitial":"L","affiliations":[],"preferred":false,"id":658768,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70178631,"text":"70178631 - 2016 - Direct photolysis rates and transformation pathways of the lampricides TFM and niclosamide in simulated sunlight","interactions":[],"lastModifiedDate":"2017-07-12T16:12:02","indexId":"70178631","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Direct photolysis rates and transformation pathways of the lampricides TFM and niclosamide in simulated sunlight","docAbstract":"The lampricides 3-trifluoromethyl-4-nitrophenol (TFM) and 2′,5-dichloro-4′-nitrosalicylanilide (niclosamide) are directly added to many tributaries of the Great Lakes that harbor the invasive parasitic sea lamprey. Despite their long history of use, the fate of lampricides is not well understood. This study evaluates the rate and pathway of direct photodegradation of both lampricides under simulated sunlight. The estimated half-lives of TFM range from 16.6 ± 0.2 h (pH 9) to 32.9 ± 1.0 h (pH 6), while the half-lives of niclosamide range from 8.88 ± 0.52 days (pH 6) to 382 ± 83 days (pH 9) assuming continuous irradiation over a water depth of 55 cm. Both compounds degrade to form a series of aromatic intermediates, simple organic acids, ring cleavage products, and inorganic ions. Experimental data were used to construct a kinetic model which demonstrates that the aromatic products of TFM undergo rapid photolysis and emphasizes that niclosamide degradation is the rate-limiting step to dehalogenation and mineralization of the lampricide. This study demonstrates that TFM photodegradation is likely to occur on the time scale of lampricide applications (2–5 days), while niclosamide, the less selective lampricide, will undergo minimal direct photodegradation during its passage to the Great Lakes.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.6b02607","usgsCitation":"McConville, M.B., Hubert, T.D., and Remucal, C.K., 2016, Direct photolysis rates and transformation pathways of the lampricides TFM and niclosamide in simulated sunlight: Environmental Science & Technology, v. 50, no. 18, p. 9998-10006, https://doi.org/10.1021/acs.est.6b02607.","productDescription":"9 p.","startPage":"9998","endPage":"10006","ipdsId":"IP-076266","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":331398,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"18","noUsgsAuthors":false,"publicationDate":"2016-08-26","publicationStatus":"PW","scienceBaseUri":"584144dee4b04fc80e507398","contributors":{"authors":[{"text":"McConville, Megan B.","contributorId":177099,"corporation":false,"usgs":false,"family":"McConville","given":"Megan","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":654640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hubert, Terrance D. 0000-0001-9712-1738 thubert@usgs.gov","orcid":"https://orcid.org/0000-0001-9712-1738","contributorId":3036,"corporation":false,"usgs":true,"family":"Hubert","given":"Terrance","email":"thubert@usgs.gov","middleInitial":"D.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":654641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Remucal, Christina K.","contributorId":177100,"corporation":false,"usgs":false,"family":"Remucal","given":"Christina","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":654642,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70178037,"text":"70178037 - 2016 - Effects of model complexity and priors on estimation using sequential importance sampling/resampling for species conservation","interactions":[],"lastModifiedDate":"2016-11-01T13:25:42","indexId":"70178037","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","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":"Effects of model complexity and priors on estimation using sequential importance sampling/resampling for species conservation","docAbstract":"We examined the effects of complexity and priors on the accuracy of models used to estimate ecological and observational processes, and to make predictions regarding population size and structure. State-space models are useful for estimating complex, unobservable population processes and making predictions about future populations based on limited data. To better understand the utility of state space models in evaluating population dynamics, we used them in a Bayesian framework and compared the accuracy of models with differing complexity, with and without informative priors using sequential importance sampling/resampling (SISR). Count data were simulated for 25 years using known parameters and observation process for each model. We used kernel smoothing to reduce the effect of particle depletion, which is common when estimating both states and parameters with SISR. Models using informative priors estimated parameter values and population size with greater accuracy than their non-informative counterparts. While the estimates of population size and trend did not suffer greatly in models using non-informative priors, the algorithm was unable to accurately estimate demographic parameters. This model framework provides reasonable estimates of population size when little to no information is available; however, when information on some vital rates is available, SISR can be used to obtain more precise estimates of population size and process. Incorporating model complexity such as that required by structured populations with stage-specific vital rates affects precision and accuracy when estimating latent population variables and predicting population dynamics. These results are important to consider when designing monitoring programs and conservation efforts requiring management of specific population segments.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2016.08.010","usgsCitation":"Dunham, K., and Grand, J.B., 2016, Effects of model complexity and priors on estimation using sequential importance sampling/resampling for species conservation: Ecological Modelling, v. 340, p. 28-36, https://doi.org/10.1016/j.ecolmodel.2016.08.010.","productDescription":"9 p.","startPage":"28","endPage":"36","ipdsId":"IP-069168","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":330621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"340","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5819a9c1e4b0bb36a4c91007","contributors":{"authors":[{"text":"Dunham, Kylee","contributorId":173081,"corporation":false,"usgs":false,"family":"Dunham","given":"Kylee","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":652582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grand, J. Barry 0000-0002-3576-4567 barry_grand@usgs.gov","orcid":"https://orcid.org/0000-0002-3576-4567","contributorId":579,"corporation":false,"usgs":true,"family":"Grand","given":"J.","email":"barry_grand@usgs.gov","middleInitial":"Barry","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":652581,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70179744,"text":"70179744 - 2016 - Evaluation of gas production potential from gas hydrate deposits in National Petroleum Reserve Alaska using numerical simulations","interactions":[],"lastModifiedDate":"2017-01-17T10:26:02","indexId":"70179744","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5264,"text":"Journal of Natural Gas Science and Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of gas production potential from gas hydrate deposits in National Petroleum Reserve Alaska using numerical simulations","docAbstract":"An evaluation of the gas production potential of Sunlight Peak gas hydrate accumulation in the eastern portion of the National Petroleum Reserve Alaska (NPRA) of Alaska North Slope (ANS) is conducted using numerical simulations, as part of the U.S. Geological Survey (USGS) gas hydrate Life Cycle Assessment program. A field scale reservoir model for Sunlight Peak is developed using Advanced Processes & Thermal Reservoir Simulator (STARS) that approximates the production design and response of this gas hydrate field. The reservoir characterization is based on available structural maps and the seismic-derived hydrate saturation map of the study region. A 3D reservoir model, with heterogeneous distribution of the reservoir properties (such as porosity, permeability and vertical hydrate saturation), is developed by correlating the data from the Mount Elbert well logs. Production simulations showed that the Sunlight Peak prospect has the potential of producing 1.53 × 109 ST m3 of gas in 30 years by depressurization with a peak production rate of around 19.4 × 104 ST m3/day through a single horizontal well. To determine the effect of uncertainty in reservoir properties on the gas production, an uncertainty analysis is carried out. It is observed that for the range of data considered, the overall cumulative production from the Sunlight Peak will always be within the range of ±4.6% error from the overall mean value of 1.43 × 109 ST m3. A sensitivity analysis study showed that the proximity of the reservoir from the base of permafrost and the base of hydrate stability zone (BHSZ) has significant effect on gas production rates. The gas production rates decrease with the increase in the depth of the permafrost and the depth of BHSZ. From the overall analysis of the results it is concluded that Sunlight Peak gas hydrate accumulation behaves differently than other Class III reservoirs (Class III reservoirs are composed of a single layer of hydrate with no underlying zone of mobile fluids) due to its smaller thickness and high angle of dip.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jngse.2016.11.021","usgsCitation":"Nandanwar, M.S., Anderson, B.J., Ajayi, T., Collett, T.S., and Zyrianova, M.V., 2016, Evaluation of gas production potential from gas hydrate deposits in National Petroleum Reserve Alaska using numerical simulations: Journal of Natural Gas Science and Engineering, v. 36, no. A, p. 760-772, https://doi.org/10.1016/j.jngse.2016.11.021.","productDescription":"13 p.","startPage":"760","endPage":"772","ipdsId":"IP-079065","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":333231,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -154.86328125,\n 69.38804929116819\n ],\n [\n -154.86328125,\n 70.90226826757711\n ],\n [\n -151.402587890625,\n 70.90226826757711\n ],\n [\n -151.402587890625,\n 69.38804929116819\n ],\n [\n -154.86328125,\n 69.38804929116819\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"A","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"587f3c31e4b0d96de2564547","contributors":{"authors":[{"text":"Nandanwar, Manish S.","contributorId":178323,"corporation":false,"usgs":false,"family":"Nandanwar","given":"Manish","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":658498,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Brian J.","contributorId":147120,"corporation":false,"usgs":false,"family":"Anderson","given":"Brian","email":"","middleInitial":"J.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":658499,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ajayi, Taiwo","contributorId":178324,"corporation":false,"usgs":false,"family":"Ajayi","given":"Taiwo","email":"","affiliations":[],"preferred":false,"id":658500,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":658501,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zyrianova, Margarita V. 0000-0002-3669-1320 rita@usgs.gov","orcid":"https://orcid.org/0000-0002-3669-1320","contributorId":1203,"corporation":false,"usgs":true,"family":"Zyrianova","given":"Margarita","email":"rita@usgs.gov","middleInitial":"V.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":658497,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70178666,"text":"70178666 - 2016 - Filling the interspace—restoring arid land mosses: source populations, organic matter, and overwintering govern success","interactions":[],"lastModifiedDate":"2017-11-22T17:19:16","indexId":"70178666","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Filling the interspace—restoring arid land mosses: source populations, organic matter, and overwintering govern success","docAbstract":"Biological soil crusts contribute to ecosystem functions and occupy space that could be available to invasive annual grasses. Given disturbances in the semiarid shrub steppe communities, we embarked on a set of studies to investigate restoration potential of mosses in sagebrush steppe ecosystems. We examined establishment and growth of two moss species common to the Great Basin, USA: Bryum argenteum and Syntrichia ruralis from two environmental settings (warm dry vs. cool moist). Moss fragments were inoculated into a third warm dry setting, on bare soil in spring and fall, both with and without a jute net and with and without spring irrigation. Moss cover was monitored in spring seasons of three consecutive years. Both moss species increased in cover over the winter. When Bryum received spring irrigation that was out of sync with natural precipitation patterns, moss cover increased and then crashed, taking two seasons to recover. Syntrichia did not respond to the irrigation treatment. The addition of jute net increased moss cover under all conditions, except Syntrichia following fall inoculation, which required a second winter to increase in cover. The warm dry population of Bryum combined with jute achieved on average 60% cover compared to the cool moist population that achieved only 28% cover by the end of the study. Differences were less pronounced for Syntrichia where moss from the warm dry population with jute achieved on average 51% cover compared to the cool moist population that achieved 43% cover by the end of the study. Restoration of arid land mosses may quickly protect soils from erosion while occupying sites before invasive plants. We show that higher moss cover will be achieved quickly with the addition of organic matter and when moss fragments originate from sites with a climate that is similar to that of the restoration site.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.2448","usgsCitation":"Condon, L., and Pyke, D.A., 2016, Filling the interspace—restoring arid land mosses: source populations, organic matter, and overwintering govern success: Ecology and Evolution, v. 6, no. 21, p. 7623-7632, https://doi.org/10.1002/ece3.2448.","productDescription":"10 p.","startPage":"7623","endPage":"7632","ipdsId":"IP-073450","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":470471,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.2448","text":"Publisher Index Page"},{"id":331432,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"21","noUsgsAuthors":false,"publicationDate":"2016-10-05","publicationStatus":"PW","scienceBaseUri":"584144dde4b04fc80e50738e","chorus":{"doi":"10.1002/ece3.2448","url":"http://dx.doi.org/10.1002/ece3.2448","publisher":"Wiley-Blackwell","authors":"Condon Lea A., Pyke David A.","journalName":"Ecology and Evolution","publicationDate":"10/5/2016"},"contributors":{"authors":[{"text":"Condon, Lea","contributorId":168539,"corporation":false,"usgs":false,"family":"Condon","given":"Lea","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":654761,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pyke, David A. 0000-0002-4578-8335 david_a_pyke@usgs.gov","orcid":"https://orcid.org/0000-0002-4578-8335","contributorId":3118,"corporation":false,"usgs":true,"family":"Pyke","given":"David","email":"david_a_pyke@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":654762,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70193057,"text":"70193057 - 2016 - Diet of juvenile burbot and insight on gape limitation","interactions":[],"lastModifiedDate":"2017-11-06T16:15:16","indexId":"70193057","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2014,"text":"Intermountain Journal of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Diet of juvenile burbot and insight on gape limitation","docAbstract":"Throughout much of their distribution, Burbot (Lota lota ) populations are declining or have been extirpated. Burbot in the Kootenai River, Idaho represent one such imperiled population. In an effort to restore Burbot in the Kootenai River, managers have turned to conservation aquaculture. However, no appreciable increase in natural recruitment has been observed in the system. The lack of natural recruitment is believed to be partly due to a deficiency of high-quality prey. As a result, we sought to i) describe the diet of juvenile Burbot, ii) evaluate the influence of Burbot mouth gape on diet and iii) estimate prey availability at release locations. Burbot were stocked into two earthen ponds at the Boundary Creek Wildlife Management Area (BCWMA) and sampled weekly to evaluate diet. Zooplankton were sampled weekly from each pond and from release locations of hatchery-reared Burbot (i.e., Kootenai River, Goat River, Boundary Creek, Deep Creek) to quantify prey availability. Over the course of the study (~3 months), Burbot primarily fed on Cyclopoida. Burbot never appeared to be gape limited and exhibited little variability in the size of zooplankton ingested. Zooplankton densities at stocking locations were relatively low in comparison to BCWMA ponds. Low zooplankton densities at release sites indicate that alternative management actions may need to be considered to enhance Burbot recruitment in the Kootenai River drainage.
","language":"English","publisher":"Intermountain Journal of Sciences","usgsCitation":"Klein, Z.B., Hardy, R.S., and Quist, M.C., 2016, Diet of juvenile burbot and insight on gape limitation: Intermountain Journal of Sciences, v. 22, no. 4, p. 55-69.","productDescription":"15 p.","startPage":"55","endPage":"69","ipdsId":"IP-076822","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348306,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347701,"type":{"id":15,"text":"Index Page"},"url":"https://arc.lib.montana.edu/ojs/index.php/IJS/article/view/663/513"}],"volume":"22","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e9aae4b09af898c8cc3c","contributors":{"authors":[{"text":"Klein, Zachary B.","contributorId":171709,"corporation":false,"usgs":false,"family":"Klein","given":"Zachary","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":720769,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hardy, Ryan S.","contributorId":167032,"corporation":false,"usgs":false,"family":"Hardy","given":"Ryan","email":"","middleInitial":"S.","affiliations":[{"id":6764,"text":"Idaho Department of Fish and Game, Nampa, Idaho","active":true,"usgs":false}],"preferred":false,"id":720770,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Quist, Michael C. 0000-0001-8268-1839 mquist@usgs.gov","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":171392,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":717771,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70178189,"text":"70178189 - 2016 - Karst","interactions":[],"lastModifiedDate":"2020-08-25T16:59:32.756086","indexId":"70178189","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"89","title":"Karst","docAbstract":"Karst areas present unique hydrologic and hydrogeological characteristics that\nare often challenging to investigate. These characteristics are largely dependent\non the extent of development of solution conduits within the underlying bedrock,\nand the resulting integration of surface and subsurface drainage components\ninto a karst aquifer system. The investigation and characterization of\nkarst aquifers typically require a multidisciplinary approach and the use of\nrelatively specialized methods such as tracer testing, spring discharge monitoring,\nand various hydrograph separation or modeling techniques. Conventional\nmethods of hydrologic or hydrogeologic investigation may be applied successfully\nfor specific purposes; however, proper conceptualization of a given karst\naquifer system is a requirement for effective analysis, modeling, and interpretation\nof karst hydrologic and hydrogeologic data.","language":"English","publisher":"McGraw-Hill","isbn":"9780071835091","usgsCitation":"Taylor, C., and Doctor, D., 2016, Karst, p. 89-1-89-14.","productDescription":"14 p.","startPage":"89-1","endPage":"89-14","ipdsId":"IP-068743","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":330873,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":330782,"type":{"id":15,"text":"Index Page"},"url":"https://www.mhprofessional.com/9780071835091-usa-handbook-of-applied-hydrology-second-edition"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5822f23ae4b0ef3123a9701c","contributors":{"editors":[{"text":"Singh, Vijay P.","contributorId":176741,"corporation":false,"usgs":false,"family":"Singh","given":"Vijay","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":653370,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Taylor, C.J.","contributorId":22337,"corporation":false,"usgs":true,"family":"Taylor","given":"C.J.","email":"","affiliations":[],"preferred":false,"id":653368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doctor, D.H.","contributorId":94773,"corporation":false,"usgs":true,"family":"Doctor","given":"D.H.","affiliations":[],"preferred":false,"id":653369,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70178649,"text":"70178649 - 2016 - Temperature and hydrology affect methane emissions from Prairie Pothole Wetlands","interactions":[],"lastModifiedDate":"2017-04-27T10:07:14","indexId":"70178649","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Temperature and hydrology affect methane emissions from Prairie Pothole Wetlands","docAbstract":"The Prairie Pothole Region (PPR) in central North America consists of millions of depressional wetlands that each have considerable potential to emit methane (CH4). Changes in temperature and hydrology in the PPR from climate change may affect methane fluxes from these wetlands. To assess the potential effects of changes in climate on methane emissions, we examined the relationships between flux rates and temperature or water depth using six years of bi-weekly flux measurements during the snow-free period from six temporarily ponded and six permanently ponded wetlands in North Dakota, USA. Methane flux rates were among the highest reported for freshwater wetlands, and had considerable spatial and temporal variation. Methane flux rates increased with increasing temperature and water depth, and were especially high when conditions were warmer and wetter than average (163 ± 28 mg CH4 m−2 h−1) compared to warmer and drier (37 ± 7 mg CH4 m−2 h−1). Methane emission rates from permanent wetlands were less sensitive to changes in temperature and water depth compared to temporary wetlands, likely due to higher sulfate concentrations in permanent wetlands. While the predicted increase in temperature with climate change will likely increase methane emission rates from PPR wetlands, drier conditions could moderate these increases.
","language":"English","publisher":"Springer","doi":"10.1007/s13157-016-0826-8","usgsCitation":"Bansal, S., Tangen, B., and Finocchiaro, R., 2016, Temperature and hydrology affect methane emissions from Prairie Pothole Wetlands: Wetlands, v. 36, no. s2, p. 371-381, https://doi.org/10.1007/s13157-016-0826-8.","productDescription":"11 p.","startPage":"371","endPage":"381","ipdsId":"IP-073125","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":331417,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"s2","noUsgsAuthors":false,"publicationDate":"2016-09-29","publicationStatus":"PW","scienceBaseUri":"584144dee4b04fc80e507392","contributors":{"authors":[{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":654711,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tangen, Brian 0000-0001-5157-9882 btangen@usgs.gov","orcid":"https://orcid.org/0000-0001-5157-9882","contributorId":167277,"corporation":false,"usgs":true,"family":"Tangen","given":"Brian","email":"btangen@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":654712,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finocchiaro, Raymond 0000-0002-5514-8729 rfinocchiaro@usgs.gov","orcid":"https://orcid.org/0000-0002-5514-8729","contributorId":167278,"corporation":false,"usgs":true,"family":"Finocchiaro","given":"Raymond","email":"rfinocchiaro@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":654713,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70178647,"text":"70178647 - 2016 - Dense surface seismic data confirm non-double-couple source mechanisms induced by hydraulic fracturing","interactions":[],"lastModifiedDate":"2021-06-09T13:10:07.979625","indexId":"70178647","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1808,"text":"Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Dense surface seismic data confirm non-double-couple source mechanisms induced by hydraulic fracturing","docAbstract":"We have determined source mechanisms for nine high-quality microseismic events induced during hydraulic fracturing of the Montney Shale in Canada. Seismic data were recorded using a dense regularly spaced grid of sensors at the surface. The design and geometry of the survey are such that the recorded P-wave amplitudes essentially map the upper focal hemisphere, allowing the source mechanism to be interpreted directly from the data. Given the inherent difficulties of computing reliable moment tensors (MTs) from high-frequency microseismic data, the surface amplitude and polarity maps provide important additional confirmation of the source mechanisms. This is especially critical when interpreting non-shear source processes, which are notoriously susceptible to artifacts due to incomplete or inaccurate source modeling. We have found that most of the nine events contain significant non-double-couple (DC) components, as evident in the surface amplitude data and the resulting MT models. Furthermore, we found that source models that are constrained to be purely shear do not explain the data for most events. Thus, even though non-DC components of MTs can often be attributed to modeling artifacts, we argue that they are required by the data in some cases, and can be reliably computed and confidently interpreted under favorable conditions.
A number of studies have reported the presence of wheat septoria leaf blotch (Septoria tritici; SLB) disease in Ethiopia. However, the environmental factors associated with SLB disease, and areas under risk of SLB disease, have not been studied. Here, we tested the hypothesis that environmental variables can adequately explain observed SLB disease severity levels in West Shewa, Central Ethiopia. Specifically, we identified 50 environmental variables and assessed their relationships with SLB disease severity. Geographically referenced disease severity data were obtained from the field, and linear regression and Boosted Regression Trees (BRT) modeling approaches were used for developing spatial models. Moderate-resolution imaging spectroradiometer (MODIS) derived vegetation indices and land surface temperature (LST) variables highly influenced SLB model predictions. Soil and topographic variables did not sufficiently explain observed SLB disease severity variation in this study. Our results show that wheat growing areas in Central Ethiopia, including highly productive districts, are at risk of SLB disease. The study demonstrates the integration of field data with modeling approaches such as BRT for predicting the spatial patterns of severity of a pathogenic wheat disease in Central Ethiopia. Our results can aid Ethiopia's wheat disease monitoring efforts, while our methods can be replicated for testing related hypotheses elsewhere.
","language":"English","publisher":"Elsevier ","doi":"10.1016/j.ecoinf.2016.09.003","usgsCitation":"Wakie, T., Kumar, S., Senay, G., Takele, A., and Lencho, A., 2016, Spatial prediction of wheat Septoria leaf blotch (Septoria tritici) disease severity in central Ethiopia: Ecological Informatics, v. 36, p. 15-30, https://doi.org/10.1016/j.ecoinf.2016.09.003.","productDescription":"16 p.","startPage":"15","endPage":"30","ipdsId":"IP-079364","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":462043,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoinf.2016.09.003","text":"Publisher Index Page"},{"id":336745,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b7eba5e4b01ccd5500baf5","chorus":{"doi":"10.1016/j.ecoinf.2016.09.003","url":"http://dx.doi.org/10.1016/j.ecoinf.2016.09.003","publisher":"Elsevier BV","authors":"Wakie Tewodros T., Kumar Sunil, Senay Gabriel B., Takele Abera, Lencho Alemu","journalName":"Ecological Informatics","publicationDate":"11/2016"},"contributors":{"authors":[{"text":"Wakie, Tewodros","contributorId":138730,"corporation":false,"usgs":false,"family":"Wakie","given":"Tewodros","email":"","affiliations":[{"id":6737,"text":"Colorado State University, Department of Ecosystem Science and Sustainability, and Natural Resource Ecology Laboratory","active":true,"usgs":false}],"preferred":false,"id":680410,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kumar, Sunil","contributorId":84992,"corporation":false,"usgs":true,"family":"Kumar","given":"Sunil","affiliations":[],"preferred":false,"id":680411,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":166812,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":673717,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takele, Abera","contributorId":187439,"corporation":false,"usgs":false,"family":"Takele","given":"Abera","email":"","affiliations":[],"preferred":false,"id":680412,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lencho, Alemu","contributorId":187440,"corporation":false,"usgs":false,"family":"Lencho","given":"Alemu","email":"","affiliations":[],"preferred":false,"id":680413,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70182084,"text":"70182084 - 2016 - New findings of twisted-wing parasites (Strepsiptera) in Alaska","interactions":[],"lastModifiedDate":"2017-03-29T11:48:55","indexId":"70182084","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5299,"text":"Newsletter of the Alaska Entomological Society","active":true,"publicationSubtype":{"id":10}},"title":"New findings of twisted-wing parasites (Strepsiptera) in Alaska","docAbstract":"Strepsipterans are a group of insects with a gruesome life history and an enigmatic evolutionary past. Called ‘twisted-wing parasites’, they are minute parasitoids with a very distinct morphology (Figure 1). Alternatively thought to be related to ichneumon wasps, Diptera (flies), Coleoptera (beetles), and even Neuroptera (net-winged insects) (Pohl and Beutel, 2013); the latest genetic and morphological data support the sister order relationship of Strepsiptera and Coleoptera (Niehuis et al., 2012). Strepsipterans are highly modified, males having two hind wings and halteres instead of front wings or elytra. Unlike most parasitoids, they develop inside active, living insects who are sexually sterilized but not killed until or after emergence (Kathirithamby et al., 2015).
","language":"English","publisher":"Alaska Entomological Society","usgsCitation":"Mcdermott, M., 2016, New findings of twisted-wing parasites (Strepsiptera) in Alaska: Newsletter of the Alaska Entomological Society, v. 9, no. 1, p. 6-8.","productDescription":"3 p.","startPage":"6","endPage":"8","ipdsId":"IP-074440","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":335675,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":335665,"type":{"id":15,"text":"Index Page"},"url":"https://www.akentsoc.org/newsletter-v9-n1","linkFileType":{"id":5,"text":"html"}}],"volume":"9","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58a6c82de4b025c46428626c","contributors":{"authors":[{"text":"Mcdermott, Molly 0000-0002-0000-0831 mmcdermott@usgs.gov","orcid":"https://orcid.org/0000-0002-0000-0831","contributorId":181770,"corporation":false,"usgs":true,"family":"Mcdermott","given":"Molly","email":"mmcdermott@usgs.gov","affiliations":[],"preferred":true,"id":669493,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}