{"pageNumber":"424","pageRowStart":"10575","pageSize":"25","recordCount":40803,"records":[{"id":70192043,"text":"70192043 - 2017 - Mapping tree density in forests of the southwestern USA using Landsat 8 data","interactions":[],"lastModifiedDate":"2017-10-25T15:47:41","indexId":"70192043","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1689,"text":"Forests","active":true,"publicationSubtype":{"id":10}},"title":"Mapping tree density in forests of the southwestern USA using Landsat 8 data","docAbstract":"<p><span>The increase of tree density in forests of the American Southwest promotes extreme fire events, understory biodiversity losses, and degraded habitat conditions for many wildlife species. To ameliorate these changes, managers and scientists have begun planning treatments aimed at reducing fuels and increasing understory biodiversity. However, spatial variability in tree density across the landscape is not well-characterized, and if better known, could greatly influence planning efforts. We used reflectance values from individual Landsat 8 bands (bands 2, 3, 4, 5, 6, and 7) and calculated vegetation indices (difference vegetation index, simple ratios, and normalized vegetation indices) to estimate tree density in an area planned for treatment in the Jemez Mountains, New Mexico, characterized by multiple vegetation types and a complex topography. Because different vegetation types have different spectral signatures, we derived models with multiple predictor variables for each vegetation type, rather than using a single model for the entire project area, and compared the model-derived values to values collected from on-the-ground transects. Among conifer-dominated areas (73% of the project area), the best models (as determined by corrected Akaike Information Criteria (AICc)) included Landsat bands 2, 3, 4, and 7 along with simple ratios, normalized vegetation indices, and the difference vegetation index (</span><i>R</i><sup>2</sup><span><span>&nbsp;</span>values for ponderosa: 0.47, piñon-juniper: 0.52, and spruce-fir: 0.66). On the other hand, in aspen-dominated areas (9% of the project area), the best model included individual bands 4 and 2, simple ratio, and normalized vegetation index (</span><i>R</i><sup>2</sup><span><span>&nbsp;</span>value: 0.97). Most areas dominated by ponderosa, pinyon-juniper, or spruce-fir had more than 100 trees per hectare. About 54% of the study area has medium to high density of trees (100–1000 trees/hectare), and a small fraction (4.5%) of the area has very high density (&gt;1000 trees/hectare). Our results provide a better understanding of tree density for identifying areas in need of treatment and planning for more effective treatment. Our analysis also provides an integrated method of estimating tree density across complex landscapes that could be useful for further restoration planning.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/f8080287","usgsCitation":"Humagain, K., Portillo-Quintero, C., Cox, R.D., and Cain, J.W., 2017, Mapping tree density in forests of the southwestern USA using Landsat 8 data: Forests, v. 8, no. 8, p. 1-15, https://doi.org/10.3390/f8080287.","productDescription":"Article 287; 15 p.","startPage":"1","endPage":"15","ipdsId":"IP-087221","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":482064,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/f8080287","text":"Publisher Index Page"},{"id":347412,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Jemez Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.78092956542969,\n              35.621023736228004\n            ],\n            [\n              -106.40396118164062,\n              35.621023736228004\n            ],\n            [\n              -106.40396118164062,\n              36.00134056648952\n            ],\n            [\n              -106.78092956542969,\n              36.00134056648952\n            ],\n            [\n              -106.78092956542969,\n              35.621023736228004\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-09","publicationStatus":"PW","scienceBaseUri":"59f1a2a5e4b0220bbd9d9f44","contributors":{"authors":[{"text":"Humagain, Kamal","contributorId":198375,"corporation":false,"usgs":false,"family":"Humagain","given":"Kamal","email":"","affiliations":[],"preferred":false,"id":715906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Portillo-Quintero, Carlos","contributorId":198384,"corporation":false,"usgs":false,"family":"Portillo-Quintero","given":"Carlos","email":"","affiliations":[],"preferred":false,"id":715907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cox, Robert D.","contributorId":26240,"corporation":false,"usgs":true,"family":"Cox","given":"Robert","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":715908,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714002,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192203,"text":"70192203 - 2017 - Managed aquifer recharge through off-season irrigation in agricultural regions","interactions":[],"lastModifiedDate":"2017-10-23T11:58:54","indexId":"70192203","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Managed aquifer recharge through off-season irrigation in agricultural regions","docAbstract":"<p><span>Options for increasing reservoir storage in developed regions are limited and prohibitively expensive. Projected increases in demand call for new long-term water storage to help sustain agriculture, municipalities, industry, and ecological services. Managed aquifer recharge (MAR) is becoming an integral component of water resources around the world. However, MAR faces challenges, including infrastructure costs, difficulty in enhancing recharge, water quality issues, and lack of available water supplies. Here we examine, through simulation modeling of a hypothetical agricultural subbasin in the western U.S., the potential of agricultural managed aquifer recharge (Ag-MAR) via canal seepage and off-season field irrigation. Weather phenomenon in many regions around the world exhibit decadal and other multiyear cycles of extreme precipitation. An ongoing challenge is to develop approaches to store greater amounts of water during these events. Simulations presented herein incorporate Ag-MAR programs and demonstrate that there is potential to enhance regional recharge by 7–13%, increase crop consumptive use by 9–12%, and increase natural vegetation consumption by 20–30%, where larger relative increases occur for lower aquifer hydraulic conductivity and higher specific yield values. Annual increases in groundwater levels were 7 m, and sustained levels following several years of drought were greater than 2 m. Results demonstrate that Ag-MAR has great potential to enhance long-term sustainability of water resources in agricultural basins.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2017WR020458","usgsCitation":"Niswonger, R.G., Morway, E.D., Triana, E., and Huntington, J., 2017, Managed aquifer recharge through off-season irrigation in agricultural regions: Water Resources Research, v. 53, no. 8, p. 6970-6992, https://doi.org/10.1002/2017WR020458.","productDescription":"23 p.","startPage":"6970","endPage":"6992","ipdsId":"IP-087681","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":469712,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017wr020458","text":"Publisher Index Page"},{"id":347106,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-17","publicationStatus":"PW","scienceBaseUri":"59eeffa5e4b0220bbd988f7e","contributors":{"authors":[{"text":"Niswonger, Richard G. 0000-0001-6397-2403 rniswon@usgs.gov","orcid":"https://orcid.org/0000-0001-6397-2403","contributorId":197892,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard","email":"rniswon@usgs.gov","middleInitial":"G.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":714748,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morway, Eric D. 0000-0002-8553-6140 emorway@usgs.gov","orcid":"https://orcid.org/0000-0002-8553-6140","contributorId":4320,"corporation":false,"usgs":true,"family":"Morway","given":"Eric","email":"emorway@usgs.gov","middleInitial":"D.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":714749,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Triana, Enrique","contributorId":169532,"corporation":false,"usgs":false,"family":"Triana","given":"Enrique","email":"","affiliations":[{"id":25556,"text":"MWH Global, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":714750,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huntington, Justin L.","contributorId":31279,"corporation":false,"usgs":true,"family":"Huntington","given":"Justin L.","affiliations":[],"preferred":false,"id":714751,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193861,"text":"70193861 - 2017 - Suitability of oyster restoration sites along the Louisiana coast: Examining site and stock × site interaction","interactions":[],"lastModifiedDate":"2017-11-06T14:37:28","indexId":"70193861","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2455,"text":"Journal of Shellfish Research","active":true,"publicationSubtype":{"id":10}},"title":"Suitability of oyster restoration sites along the Louisiana coast: Examining site and stock × site interaction","docAbstract":"<p><span>Recognition of the global loss of subtidal oyster reefs has led to a rise in reef restoration efforts, including in the Gulf of Mexico. Created reef success depends entirely on selecting a location that supports long-term oyster growth and survival, including the recruitment and survival of on-reef oysters. Significant changes in estuarine salinity through management of freshwater inflows and through changed precipitation patterns may significantly impact the locations of optimal oyster restoration sites. These rapid shifts in conditions necessitate a need to better understand both impacts to on-reef oyster growth and population development, and variation in oyster stock performance. Oyster growth, mortality, condition, and disease prevalence were examined in three different stocks of oysters located in protected cages, as well as oyster recruitment and mortality on experimental reef units in three different locations representing a salinity gradient, along the Louisiana Gulf coast in 2011 and 2012. Over a 2-y period, the high-salinity site had highest oyster growth rate in protected cages but demonstrated the least likelihood for reef development based on on-reef oyster population failure, likely because of predation-related mortality (high recruitment and 100% mortality). In contrast, the midsalinity site with moderate oyster growth and on-reef recruitment and low mortality demonstrated a higher likelihood for reef development. The lowest salinity site exhibited extreme variability in all oyster responses between years because of extreme variation in environmental conditions during the study, indicating a low likelihood of long-term reef development. Whereas limited differences in stock performance between sites were found, the range of site environmental conditions tested was ultimately much lower than expected and may not have provided a wide enough range of conditions. In areas with limited, low recruitment, or rapidly changing environmental conditions, seeding with stocks selected for best growth and survival under expected future environmental conditions could better ensure reef development by using oyster populations best suited to the predicted conditions. With rapidly changing estuarine conditions from anthropogenic activities and climate change, siting of oyster reef restoration incorporating both oyster population dynamics and&nbsp;</span><i>in situ</i><span><span>&nbsp;</span>biotic and abiotic interactions is critical in better directing site selection for reef restoration efforts.</span></p>","language":"English","publisher":"National Shellfisheries Association","doi":"10.2983/035.036.0206","usgsCitation":"Schwarting Miller, L., La Peyre, J.F., and LaPeyre, M.K., 2017, Suitability of oyster restoration sites along the Louisiana coast: Examining site and stock × site interaction: Journal of Shellfish Research, v. 36, no. 2, p. 341-351, https://doi.org/10.2983/035.036.0206.","productDescription":"11 p.","startPage":"341","endPage":"351","ipdsId":"IP-083230","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":348299,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.592529296875,\n              28.65203063036226\n            ],\n            [\n              -89.088134765625,\n              28.65203063036226\n            ],\n            [\n              -89.088134765625,\n              30.6662659463233\n            ],\n            [\n              -93.592529296875,\n              30.6662659463233\n            ],\n            [\n              -93.592529296875,\n              28.65203063036226\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e8a1e4b09af898c8cb90","contributors":{"authors":[{"text":"Schwarting Miller, Lindsay","contributorId":200035,"corporation":false,"usgs":false,"family":"Schwarting Miller","given":"Lindsay","email":"","affiliations":[],"preferred":false,"id":720748,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"La Peyre, Jerome F.","contributorId":34697,"corporation":false,"usgs":true,"family":"La Peyre","given":"Jerome","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":720749,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LaPeyre, Megan K. 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":585,"corporation":false,"usgs":true,"family":"LaPeyre","given":"Megan","email":"mlapeyre@usgs.gov","middleInitial":"K.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":720706,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193539,"text":"70193539 - 2017 - Retrospective analysis of seasonal ocean growth rates of two sea winter Atlantic Salmon in eastern Maine using historic scales","interactions":[],"lastModifiedDate":"2017-11-14T13:24:12","indexId":"70193539","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"title":"Retrospective analysis of seasonal ocean growth rates of two sea winter Atlantic Salmon in eastern Maine using historic scales","docAbstract":"<p><span>Substantial declines of anadromous Atlantic Salmon&nbsp;</span><i>Salmo salar</i><span><span>&nbsp;</span>have occurred throughout its range, with many populations at the southern extent of the distribution currently extirpated or endangered. While both one sea winter (1SW) and two sea winter (2SW) spawner numbers for the North American stocks have declined since the 1950s, the decline has been most severe in 2SW spawners. The first months at sea are considered a period of high mortality. However, early ocean mortality alone cannot explain the more pronounced decline of 2SW spawners, suggesting that the second year at sea may be more critical than previously thought. Atlantic Salmon scales collected by anglers and the state agency from 1946 to 2013 from five rivers in eastern Maine were used to estimate smolt age and ocean age of returning adults. Additionally, seasonal growth rates of maiden 2SW spawners were estimated using intercirculi measurements and linear back-calculation methods. Generalized linear mixed models (Gaussian family, log link function) were used to investigate the influence of average sea surface temperature, accumulated thermal units, the Atlantic Multidecadal Oscillation (AMO) and North Atlantic Oscillation indices, smolt age, smolt length, postsmolt growth, and river of origin on growth rate during the oceanic migration of North American Atlantic Salmon. Results suggest that different factors influence salmon growth throughout their oceanic migration, and previous growth can be a strong predictor of future size. Growth was negatively impacted by the phase of the AMO, which has been linked to salmon abundance trends, in early spring following the postsmolt period. This is likely when the 1SW and 2SW stock components separate, and our results suggest that this period may be of interest in future work examining the disproportionate decline in 2SW spawners.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/19425120.2017.1334723","usgsCitation":"Izzo, L.K., and Zydlewski, J.D., 2017, Retrospective analysis of seasonal ocean growth rates of two sea winter Atlantic Salmon in eastern Maine using historic scales: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 9, no. 1, p. 357-372, https://doi.org/10.1080/19425120.2017.1334723.","productDescription":"16 p.","startPage":"357","endPage":"372","ipdsId":"IP-077169","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469632,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/19425120.2017.1334723","text":"Publisher Index Page"},{"id":348831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70,\n              43.45291889355465\n            ],\n            [\n              -40,\n              43.45291889355465\n            ],\n            [\n              -40,\n              70\n            ],\n            [\n              -70,\n              70\n            ],\n            [\n              -70,\n              43.45291889355465\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-24","publicationStatus":"PW","scienceBaseUri":"5a60fb74e4b06e28e9c230c6","contributors":{"authors":[{"text":"Izzo, Lisa K.","contributorId":189241,"corporation":false,"usgs":false,"family":"Izzo","given":"Lisa","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":722036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":719308,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70189893,"text":"70189893 - 2017 - Future research needs involving pathogens in groundwater","interactions":[],"lastModifiedDate":"2018-08-09T12:18:21","indexId":"70189893","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Future research needs involving pathogens in groundwater","docAbstract":"<p><span>Contamination of groundwater by enteric pathogens has commonly been associated with disease outbreaks. Proper management and treatment of pathogen sources are important prerequisites for preventing groundwater contamination. However, non-point sources of pathogen contamination are frequently difficult to identify, and existing approaches for pathogen detection are costly and only provide semi-quantitative information. Microbial indicators that are readily quantified often do not correlate with the presence of pathogens. Pathogens of emerging concern and increasing detections of antibiotic resistance among bacterial pathogens in groundwater are topics of growing concern. Adequate removal of pathogens during soil passage is therefore critical for safe groundwater extraction. Processes that enhance pathogen transport (e.g., high velocity zones and preferential flow) and diminish pathogen removal (e.g., reversible retention and enhanced survival) are of special concern because they increase the risk of groundwater contamination, but are still incompletely understood. Improved theory and modeling tools are needed to analyze experimental data, test hypotheses, understand coupled processes and controlling mechanisms, predict spatial and/or temporal variability in model parameters and uncertainty in pathogen concentrations, assess risk, and develop mitigation and best management approaches to protect groundwater.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10040-016-1501-0","usgsCitation":"Bradford, S.A., and Harvey, R.W., 2017, Future research needs involving pathogens in groundwater: Hydrogeology Journal, v. 25, no. 4, p. 931-938, https://doi.org/10.1007/s10040-016-1501-0.","productDescription":"8 p.","startPage":"931","endPage":"938","ipdsId":"IP-080143","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344487,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-02","publicationStatus":"PW","scienceBaseUri":"59819313e4b0e2f5d463b791","contributors":{"authors":[{"text":"Bradford, Scott A.","contributorId":194257,"corporation":false,"usgs":false,"family":"Bradford","given":"Scott","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":706640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Ronald W. 0000-0002-2791-8503 rwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2791-8503","contributorId":564,"corporation":false,"usgs":true,"family":"Harvey","given":"Ronald","email":"rwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":706639,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193245,"text":"70193245 - 2017 - A multi-species synthesis of physiological mechanisms in drought-induced tree mortality","interactions":[],"lastModifiedDate":"2018-01-23T09:27:51","indexId":"70193245","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5263,"text":"Nature Ecology & Evolution","active":true,"publicationSubtype":{"id":10}},"title":"A multi-species synthesis of physiological mechanisms in drought-induced tree mortality","docAbstract":"<p><span>Widespread tree mortality associated with drought has been observed on all forested continents and global change is expected to exacerbate vegetation vulnerability. Forest mortality has implications for future biosphere–atmosphere interactions of carbon, water and energy balance, and is poorly represented in dynamic vegetation models. Reducing uncertainty requires improved mortality projections founded on robust physiological processes. However, the proposed mechanisms of drought-induced mortality, including hydraulic failure and carbon starvation, are unresolved. A growing number of empirical studies have investigated these mechanisms, but data have not been consistently analysed across species and biomes using a standardized physiological framework. Here, we show that xylem hydraulic failure was ubiquitous across multiple tree taxa at drought-induced mortality. All species assessed had 60% or higher loss of xylem hydraulic conductivity, consistent with proposed theoretical and modelled survival thresholds. We found diverse responses in non-structural carbohydrate reserves at mortality, indicating that evidence supporting carbon starvation was not universal. Reduced non-structural carbohydrates were more common for gymnosperms than angiosperms, associated with xylem hydraulic vulnerability, and may have a role in reducing hydraulic function. Our finding that hydraulic failure at drought-induced mortality was persistent across species indicates that substantial improvement in vegetation modelling can be achieved using thresholds in hydraulic function.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41559-017-0248-x","usgsCitation":"Adams, H., Zeppel, M., Anderegg, W.R., Hartmann, H., Landhausser, S.M., Tissue, D.T., Huxman, T.E., Hudson, P.J., Franz, T.E., Allen, C.D., Anderegg, L., Barron-Gafford, G.A., Beerling, D., Breshears, D.D., Brodribb, T.J., Bugmann, H., Cobb, R.C., Collins, A.D., Dickman, L.T., Duan, H., Ewers, B.E., Galiano, L., Galvez, D.A., Garcia-Forner, N., Gaylord, M.L., Germino, M.J., Gessler, A., Hacke, U.G., Hakamada, R., Hector, A., Jenkins, M., Kane, J.M., Kolb, T.E., Law, D., Lewis, J.D., Limousin, J., Love, D., Macalady, A.K., Martínez-Vilalta, J., Mencuccini, M., Mitchell, P.J., Muss, J.D., O’Brien, M.J., O’Grady, A.P., Pangle, R.E., Pinkard, E.A., Piper, F.I., Plaut, J., Pockman, W.T., Quirk, J., Reinhardt, K., Ripullone, F., Ryan, M., Sala, A., Sevanto, S., Sperry, J.S., Vargas, R., Vennetier, M., Way, D.A., Wu, C., Yepez, E.A., and McDowell, N.G., 2017, A multi-species synthesis of physiological mechanisms in drought-induced tree mortality: Nature Ecology & Evolution, v. 1, p. 1285-1291, https://doi.org/10.1038/s41559-017-0248-x.","productDescription":"7 p.","startPage":"1285","endPage":"1291","ipdsId":"IP-072990","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":469637,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1038/s41559-017-0248-x","text":"External Repository"},{"id":348043,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","publishingServiceCenter":{"id":12,"text":"Tacoma 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,{"id":70191337,"text":"70191337 - 2017 - Incorporating Allee effects into the potential biological removal level","interactions":[],"lastModifiedDate":"2017-10-05T15:54:30","indexId":"70191337","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2827,"text":"Natural Resource Modeling","active":true,"publicationSubtype":{"id":10}},"title":"Incorporating Allee effects into the potential biological removal level","docAbstract":"<p><span>Potential biological removal (PBR) is an approach used to calculate sustainable harvest and “take” limits for populations. PBR was originally derived assuming logistic growth while ignoring the effects of small population size (i.e., an Allee effect). We derived a version of PBR that includes an Allee effect (i.e., small population size or densities limiting population growth rates). We found that PBR becomes less conservative when it fails to consider an Allee effect. Specifically, sustainable harvest and take levels based upon PBR with an Allee effect were between approximately 51% and 66% of levels based upon PBR without an Allee effect. Managers and biologists using PBR may need to consider the limitations if an Allee effect may be present in the species being modeled.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/nrm.12133","usgsCitation":"Hadier, H., Oldfield, S., Tu, T., Moreno, R., Diffendorfer, J.E., Eager, E., and Erickson, R.A., 2017, Incorporating Allee effects into the potential biological removal level: Natural Resource Modeling, v. 30, no. 3, p. 1-16, https://doi.org/10.1111/nrm.12133.","productDescription":"e12133; 16 p.","startPage":"1","endPage":"16","ipdsId":"IP-083313","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":469642,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/nrm.12133","text":"Publisher Index Page"},{"id":346438,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-11","publicationStatus":"PW","scienceBaseUri":"59d744a1e4b05fe04cc7e317","contributors":{"authors":[{"text":"Hadier, Humza","contributorId":196936,"corporation":false,"usgs":false,"family":"Hadier","given":"Humza","email":"","affiliations":[],"preferred":false,"id":711990,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oldfield, Sarah","contributorId":196937,"corporation":false,"usgs":false,"family":"Oldfield","given":"Sarah","email":"","affiliations":[],"preferred":false,"id":711991,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tu, Tiffany","contributorId":196938,"corporation":false,"usgs":false,"family":"Tu","given":"Tiffany","email":"","affiliations":[],"preferred":false,"id":711992,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moreno, Rosa","contributorId":196939,"corporation":false,"usgs":false,"family":"Moreno","given":"Rosa","email":"","affiliations":[],"preferred":false,"id":711993,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Diffendorfer, Jay E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":55137,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"Jay","email":"jediffendorfer@usgs.gov","middleInitial":"E.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":711995,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eager, Eric A.","contributorId":140447,"corporation":false,"usgs":false,"family":"Eager","given":"Eric A.","affiliations":[{"id":13504,"text":"Department of Mathematics, University of Wisconsin-La Crosse","active":true,"usgs":false}],"preferred":false,"id":711994,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":711989,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70192610,"text":"70192610 - 2017 - Empirical estimation of recreational exploitation of burbot, Lota lota, in the Wind River drainage of Wyoming using a multistate capture–recapture model","interactions":[],"lastModifiedDate":"2017-11-10T11:32:56","indexId":"70192610","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Empirical estimation of recreational exploitation of burbot, <i>Lota lota</i>, in the Wind River drainage of Wyoming using a multistate capture–recapture model","title":"Empirical estimation of recreational exploitation of burbot, Lota lota, in the Wind River drainage of Wyoming using a multistate capture–recapture model","docAbstract":"<p><span>Burbot,&nbsp;</span><i>Lota lota</i><span><span>&nbsp;</span>(Linnaeus), is a regionally popular sportfish in the Wind River drainage of Wyoming, USA, at the southern boundary of the range of the species. Recent declines in burbot abundances were hypothesised to be caused by overexploitation, entrainment in irrigation canals and habitat loss. This study addressed the overexploitation hypothesis using tagging data to generate reliable exploitation, abundance and density estimates from a multistate capture–recapture model that accounted for incomplete angler reporting and tag loss. Exploitation rate μ was variable among the study lakes and inversely correlated with density. Exploitation thresholds μ</span><sub>40</sub><span><span>&nbsp;</span>associated with population densities remaining above 40% of carrying capacity were generated to characterise risk of overharvest using exploitation and density estimates from tagging data and a logistic surplus-production model parameterised with data from other burbot populations. Bull Lake (μ&nbsp;=&nbsp;0.06, 95% CI: 0.03–0.11; μ</span><sub>40</sub><span>&nbsp;=&nbsp;0.18) and Torrey Lake (μ&nbsp;=&nbsp;0.02, 95% CI: 0.00–0.11; μ</span><sub>40</sub><span>&nbsp;=&nbsp;0.18) had a low risk of overfishing, Upper Dinwoody Lake had intermediate risk (μ&nbsp;=&nbsp;0.08, 95% CI: 0.02–0.32; μ</span><sub>40</sub><span>&nbsp;=&nbsp;0.18) and Lower Dinwoody Lake had high risk (μ&nbsp;=&nbsp;0.32, 95% CI: 0.10–0.67; μ</span><sub>40</sub><span>&nbsp;=&nbsp;0.08). These exploitation and density estimates can be used to guide sustainable management of the Wind River drainage recreational burbot fishery and inform management of other burbot fisheries elsewhere.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/fme.12226","usgsCitation":"Lewandoski, S., Guy, C.S., Zale, A.V., Gerrity, P.C., Deromedi, J.W., Johnson, K.M., and Skates, D.L., 2017, Empirical estimation of recreational exploitation of burbot, Lota lota, in the Wind River drainage of Wyoming using a multistate capture–recapture model: Fisheries Management and Ecology, v. 24, no. 4, p. 298-307, https://doi.org/10.1111/fme.12226.","productDescription":"10 p.","startPage":"298","endPage":"307","ipdsId":"IP-076704","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348576,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","volume":"24","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-03","publicationStatus":"PW","scienceBaseUri":"5a06c8cae4b09af898c86108","contributors":{"authors":[{"text":"Lewandoski, S. A.","contributorId":200246,"corporation":false,"usgs":false,"family":"Lewandoski","given":"S. A.","affiliations":[],"preferred":false,"id":721592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true}],"preferred":true,"id":716544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zale, Alexander V. 0000-0003-1703-885X zale@usgs.gov","orcid":"https://orcid.org/0000-0003-1703-885X","contributorId":3010,"corporation":false,"usgs":true,"family":"Zale","given":"Alexander","email":"zale@usgs.gov","middleInitial":"V.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716545,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gerrity, Paul C.","contributorId":104198,"corporation":false,"usgs":true,"family":"Gerrity","given":"Paul","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":721593,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Deromedi, J. W.","contributorId":200247,"corporation":false,"usgs":false,"family":"Deromedi","given":"J.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":721594,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, K. M.","contributorId":23513,"corporation":false,"usgs":true,"family":"Johnson","given":"K.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721595,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Skates, D. L.","contributorId":200248,"corporation":false,"usgs":false,"family":"Skates","given":"D.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":721596,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70196468,"text":"70196468 - 2017 - Integrating geographically isolated wetlands into land management decisions","interactions":[],"lastModifiedDate":"2018-05-07T10:55:59","indexId":"70196468","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Integrating geographically isolated wetlands into land management decisions","docAbstract":"<p><span>Wetlands across the globe provide extensive ecosystem services. However, many wetlands – especially those surrounded by uplands, often referred to as geographically isolated wetlands (GIWs) – remain poorly protected. Protection and restoration of wetlands frequently requires information on their hydrologic connectivity to other surface waters, and their cumulative watershed‐scale effects. The integration of measurements and models can supply this information. However, the types of measurements and models that should be integrated are dependent on management questions and information compatibility. We summarize the importance of GIWs in watersheds and discuss what wetland connectivity means in both science and management contexts. We then describe the latest tools available to quantify GIW connectivity and explore crucial next steps to enhancing and integrating such tools. These advancements will ensure that appropriate tools are used in GIW decision making and maintaining the important ecosystem services that these wetlands support.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.1504","usgsCitation":"Golden, H.E., Creed, I., Ali, G., Basu, N., Neff, B., Rains, M.C., McLaughlin, D.L., Alexander, L.C., Ameli, A.A., Christensen, J.R., Evenson, G.R., Jones, C.N., Lane, C., and Lang, M., 2017, Integrating geographically isolated wetlands into land management decisions: Frontiers in Ecology and the Environment, v. 15, no. 6, p. 319-327, https://doi.org/10.1002/fee.1504.","productDescription":"9 p.","startPage":"319","endPage":"327","ipdsId":"IP-088147","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":469643,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6261316","text":"External Repository"},{"id":353288,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-26","publicationStatus":"PW","scienceBaseUri":"5afee823e4b0da30c1bfc3f5","contributors":{"authors":[{"text":"Golden, Heather E.","contributorId":202423,"corporation":false,"usgs":false,"family":"Golden","given":"Heather","email":"","middleInitial":"E.","affiliations":[{"id":36429,"text":"USEPA ORD","active":true,"usgs":false}],"preferred":false,"id":733024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Creed, Irena F.","contributorId":81209,"corporation":false,"usgs":false,"family":"Creed","given":"Irena F.","affiliations":[{"id":27655,"text":"Department of Biology, University of Western Ontario, London, ON Canada","active":true,"usgs":false}],"preferred":false,"id":733025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ali, Genevieve","contributorId":204052,"corporation":false,"usgs":false,"family":"Ali","given":"Genevieve","affiliations":[{"id":16603,"text":"University of Manitoba","active":true,"usgs":false}],"preferred":false,"id":733026,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Basu, Nandita","contributorId":156369,"corporation":false,"usgs":false,"family":"Basu","given":"Nandita","affiliations":[{"id":20330,"text":"Department of Earth and Environmental Sciences, University of Waterloo, Waterloo, ON N2L 3G1","active":true,"usgs":false}],"preferred":false,"id":733027,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neff, Brian 0000-0003-3718-7350 bneff@usgs.gov","orcid":"https://orcid.org/0000-0003-3718-7350","contributorId":198885,"corporation":false,"usgs":true,"family":"Neff","given":"Brian","email":"bneff@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":733023,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rains, Mark C.","contributorId":138983,"corporation":false,"usgs":false,"family":"Rains","given":"Mark","email":"","middleInitial":"C.","affiliations":[{"id":12607,"text":"Univ of South florida, School of Geosciences, Tampa FL","active":true,"usgs":false}],"preferred":false,"id":733028,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McLaughlin, Daniel L.","contributorId":156435,"corporation":false,"usgs":false,"family":"McLaughlin","given":"Daniel","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":733029,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Alexander, Laurie C.","contributorId":196285,"corporation":false,"usgs":false,"family":"Alexander","given":"Laurie","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":733030,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ameli, Ali A.","contributorId":204057,"corporation":false,"usgs":false,"family":"Ameli","given":"Ali","email":"","middleInitial":"A.","affiliations":[{"id":33186,"text":"Western University","active":true,"usgs":false}],"preferred":false,"id":733031,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Christensen, Jay R.","contributorId":179361,"corporation":false,"usgs":false,"family":"Christensen","given":"Jay","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":733032,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Evenson, Grey R.","contributorId":202422,"corporation":false,"usgs":false,"family":"Evenson","given":"Grey","email":"","middleInitial":"R.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":733033,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jones, Charles N.","contributorId":204060,"corporation":false,"usgs":false,"family":"Jones","given":"Charles","email":"","middleInitial":"N.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":733034,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lane, Charles R.","contributorId":138991,"corporation":false,"usgs":false,"family":"Lane","given":"Charles R.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":733035,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Lang, Megan","contributorId":156431,"corporation":false,"usgs":false,"family":"Lang","given":"Megan","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":733036,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70189975,"text":"70189975 - 2017 - Model selection for the North American Breeding Bird Survey: A comparison of methods","interactions":[],"lastModifiedDate":"2017-07-31T13:23:30","indexId":"70189975","displayToPublicDate":"2017-07-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1318,"text":"Condor","active":true,"publicationSubtype":{"id":10}},"title":"Model selection for the North American Breeding Bird Survey: A comparison of methods","docAbstract":"<p><span>The North American Breeding Bird Survey (BBS) provides data for &gt;420 bird species at multiple geographic scales over 5 decades. Modern computational methods have facilitated the fitting of complex hierarchical models to these data. It is easy to propose and fit new models, but little attention has been given to model selection. Here, we discuss and illustrate model selection using leave-one-out cross validation, and the Bayesian Predictive Information Criterion (BPIC). Cross-validation is enormously computationally intensive; we thus evaluate the performance of the Watanabe-Akaike Information Criterion (WAIC) as a computationally efficient approximation to the BPIC. Our evaluation is based on analyses of 4 models as applied to 20 species covered by the BBS. Model selection based on BPIC provided no strong evidence of one model being consistently superior to the others; for 14/20 species, none of the models emerged as superior. For the remaining 6 species, a first-difference model of population trajectory was always among the best fitting. Our results show that WAIC is not reliable as a surrogate for BPIC. Development of appropriate model sets and their evaluation using BPIC is an important innovation for the analysis of BBS data.</span></p>","language":"English","publisher":"American Ornithological Society","doi":"10.1650/CONDOR-17-1.1","usgsCitation":"Link, W.A., Sauer, J.R., and Niven, D., 2017, Model selection for the North American Breeding Bird Survey: A comparison of methods: Condor, v. 119, no. 3, p. 546-556, https://doi.org/10.1650/CONDOR-17-1.1.","productDescription":"11 p.","startPage":"546","endPage":"556","ipdsId":"IP-082007","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":469652,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-17-1.1","text":"Publisher Index Page"},{"id":344469,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"119","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59804198e4b0a38ca278932a","contributors":{"authors":[{"text":"Link, William A. 0000-0002-9913-0256 wlink@usgs.gov","orcid":"https://orcid.org/0000-0002-9913-0256","contributorId":146920,"corporation":false,"usgs":true,"family":"Link","given":"William","email":"wlink@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":706959,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sauer, John R. 0000-0002-4557-3019 jrsauer@usgs.gov","orcid":"https://orcid.org/0000-0002-4557-3019","contributorId":146917,"corporation":false,"usgs":true,"family":"Sauer","given":"John","email":"jrsauer@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":706960,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niven, Daniel 0000-0002-9527-0577 dniven@usgs.gov","orcid":"https://orcid.org/0000-0002-9527-0577","contributorId":179148,"corporation":false,"usgs":true,"family":"Niven","given":"Daniel","email":"dniven@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":706961,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70188471,"text":"ofr20171062 - 2017 - Determining the sources of fine-grained sediment using the Sediment Source Assessment Tool (Sed_SAT)","interactions":[],"lastModifiedDate":"2017-08-28T14:28:43","indexId":"ofr20171062","displayToPublicDate":"2017-07-27T14:15:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1062","title":"Determining the sources of fine-grained sediment using the Sediment Source Assessment Tool (Sed_SAT)","docAbstract":"<p>A sound understanding of sources contributing to instream sediment flux in a watershed is important when developing total maximum daily load (TMDL) management strategies designed to reduce suspended sediment in streams. Sediment fingerprinting and sediment budget approaches are two techniques that, when used jointly, can qualify and quantify the major sources of sediment in a given watershed. The sediment fingerprinting approach uses trace element concentrations from samples in known potential source areas to determine a clear signature of each potential source. A mixing model is then used to determine the relative source contribution to the target suspended sediment samples.</p><p>The computational steps required to apportion sediment for each target sample are quite involved and time intensive, a problem the Sediment Source Assessment Tool (Sed_SAT) addresses. Sed_SAT is a user-friendly statistical model that guides the user through the necessary steps in order to quantify the relative contributions of sediment sources in a given watershed. The model is written using the statistical software R (R Core Team, 2016b) and utilizes Microsoft Access® as a user interface but requires no prior knowledge of R or Microsoft Access® to successfully run the model successfully. Sed_SAT identifies outliers, corrects for differences in size and organic content in the source samples relative to the target samples, evaluates the conservative behavior of tracers used in fingerprinting by applying a “Bracket Test,” identifies tracers with the highest discriminatory power, and provides robust error analysis through a Monte Carlo simulation following the mixing model. Quantifying sediment source contributions using the sediment fingerprinting approach provides local, State, and Federal land management agencies with important information needed to implement effective strategies to reduce sediment. Sed_SAT is designed to assist these agencies in applying the sediment fingerprinting approach to quantify sediment sources in the sediment TMDL framework.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171062","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Gorman Sanisaca, L.E., Gellis, A.C., and Lorenz, D.L., 2017, Determining the sources of fine-grained sediment using the Sediment Source Assessment Tool (Sed_SAT): U.S. Geological Survey Open File Report 2017–1062, 104 p., https://doi.org/10.3133/ofr20171062.","productDescription":"Report: viii, 104 p.; Application Site","numberOfPages":"116","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-079059","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":438259,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F76Q1VBX","text":"USGS data release","linkHelpText":"Sediment Source Assessment Tool (Sed_SAT)"},{"id":344315,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1062/coverthb2.jpg"},{"id":344316,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1062/ofr20171062.pdf","text":"Report","size":"18.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1062"},{"id":344317,"rank":3,"type":{"id":4,"text":"Application Site"},"url":"https://doi.org/10.5066/F76Q1VBX","text":"Sed_Sat Software","linkHelpText":"- Determining the Sources of Fine-Grained Sediment Using the Sediment Source Assessment Tool (Sed_SAT)"}],"contact":"<p><a href=\"mailto:dc_md@usgs.gov\" data-mce-href=\"mailto:dc_md@usgs.gov\">Director</a>, <a href=\"http://md.water.usgs.gov\" data-mce-href=\"http://md.water.usgs.gov\">MD-DE-DC Water Science Center</a><br> U.S. Geological Survey<br> 5522 Research Park Drive<br> Baltimore, MD 21228</p>","tableOfContents":"<ul><li>Acknowledgments&nbsp;</li><li>Abstract&nbsp;</li><li>Introduction</li><li>Navigating the Instruction Manual&nbsp;</li><li>Downloading Sed_SAT</li><li>Getting Started</li><li>Preparing Data for Sed_SAT&nbsp;</li><li>Navigating Sed_SAT&nbsp;</li><li>Set PATHs&nbsp;</li><li>R Packages</li><li>Import Data&nbsp;</li><li>Imputation of Nondetects in Source Data</li><li>Target Dataset Data Test</li><li>Negatives and True Zeros&nbsp;</li><li>Start Step 1: Test for Univariate Normal Distributions&nbsp;</li><li>Start Step 2: Outlier Test&nbsp;</li><li>Start Step 3: First Linear Regression&nbsp;</li><li>Start Step 4: Second Linear Regression for Organic Content&nbsp;</li><li>Start Step 5: Bracket Test</li><li>Start Step 6: Multivariate Normality Test&nbsp;</li><li>Start Step 7: Forward Stepwise Linear Discriminant Function Analysis&nbsp;</li><li>Start Step 8: Mixing Model and Error Analysis&nbsp;</li><li>Export Data/Tables/Plots&nbsp;</li><li>References</li><li>Appendix 1.&nbsp;Sed_SAT File Structure&nbsp;</li><li>Appendix 2.&nbsp;Example Datasets</li><li>Appendix 3.&nbsp;Size and Organic Content Data</li><li>Appendix 4.&nbsp;SetPATHs Screen</li><li>Appendix 5.&nbsp;Information on R-Packages Used in Sed_SAT</li><li>Appendix 6. Stable Isotope Selection Screen&nbsp;</li><li>Appendix 7.&nbsp;Import Data Screens</li><li>Appendix 8. Problems Found in the Data Testing Module</li><li>Appendix 9.&nbsp;Preparing for Imputation and Imputation Group Selection Screen</li><li>Appendix 10.&nbsp;Reporting Limits Import Screens</li><li>Appendix 11.&nbsp;Choosing Imputation Parameters Screen</li><li>Appendix 12. Imputation Results</li><li>Appendix 13.&nbsp;Defining Functions to Shift True Negatives and/or True Zeros Into&nbsp;Positive Space</li><li>Appendix 14.&nbsp;Step 1 Outputs</li><li>Appendix 15.&nbsp;Step 2 Output&nbsp;</li><li>Appendix 16. Selecting Target Samples to Analyze</li><li>Appendix 17.&nbsp;Step 3 Output&nbsp;</li><li>Appendix 18.&nbsp;Step 4 Output&nbsp;</li><li>Appendix 19.&nbsp;Step 5 Output&nbsp;</li><li>Appendix 20.&nbsp;Step 6 Output&nbsp;</li><li>Appendix 21.&nbsp;Step 7 Output&nbsp;</li><li>Appendix 22. Step 8 Output&nbsp;</li><li>Appendix 23. Export Screens</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2017-07-27","noUsgsAuthors":false,"publicationDate":"2017-07-27","publicationStatus":"PW","scienceBaseUri":"597afba2e4b0a38ca2750b34","contributors":{"authors":[{"text":"Gorman Sanisaca, Lillian E. 0000-0003-1711-3864 lgormansanisaca@usgs.gov","orcid":"https://orcid.org/0000-0003-1711-3864","contributorId":172247,"corporation":false,"usgs":true,"family":"Gorman Sanisaca","given":"Lillian E.","email":"lgormansanisaca@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":697910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":172245,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen","email":"agellis@usgs.gov","middleInitial":"C.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":697911,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lorenz, David L. 0000-0003-3392-4034 lorenz@usgs.gov","orcid":"https://orcid.org/0000-0003-3392-4034","contributorId":1384,"corporation":false,"usgs":true,"family":"Lorenz","given":"David","email":"lorenz@usgs.gov","middleInitial":"L.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":697912,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70189869,"text":"70189869 - 2017 - Evapotranspiration by remote sensing: An analysis of the Colorado River Delta before and after the Minute 319 pulse flow to Mexico","interactions":[],"lastModifiedDate":"2017-08-27T18:36:35","indexId":"70189869","displayToPublicDate":"2017-07-27T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Evapotranspiration by remote sensing: An analysis of the Colorado River Delta before and after the Minute 319 pulse flow to Mexico","docAbstract":"<p><span>The unique hydrologic conditions characterizing riparian ecosystems in dryland (arid and semi-arid) areas help maintain high biodiversity and support high levels of primary productivity compared to associated uplands. In western North America, many riparian ecosystems have been damaged by altered flow regimes (e.g., impoundments and diversions) and over utilization of water resources (e.g., groundwater pumping for agriculture and human consumption). This has led some state and national governments to provide occasional environmental flows to address the declining condition of such riparian systems. In a historic agreement between the United States and Mexico, 130 million cubic meters (mcm) of water was released to the lower Colorado River Delta in Mexico, with the intent to evaluate the hydrological and biological response of the ecosystem. We used the Moderate Resolution Imaging Spectroradiometer (MODIS) Enhanced Vegetation Index (EVI) to estimate long term (2000–2014) and short term (pre- and post-pulse; 2013 and 2014) evapotranspiration (ET; used herein as an indicator of plant health) of the delta’s riparian corridor. We found the pulse flow helped reverse a decline in ET from 2011 to 2013, with a small, but statistically significant increase in 2014 (P</span><span>&nbsp;</span><span>&lt;</span><span>&nbsp;</span><span>0.05). ET was greater than 100</span><span>&nbsp;</span><span>mcm in all years analyzed (even in years without surface flows) and exceeded surface flows in all years except 2000 (result of excess flows following an El Niño cycle in 1997) and 2014 (year of the pulse flow). Based on groundwater salinities and MODIS ET estimates, we estimated groundwater flow into the delta to be ∼103</span><span>&nbsp;</span><span>mcm. Shallow groundwater salinities in the riparian zone increased from 1.30</span><span>&nbsp;</span><span>g</span><span>&nbsp;</span><span>L</span><sup>−1</sup><span><span>&nbsp;</span>in the most upstream reach to 2.77</span><span>&nbsp;</span><span>g</span><span>&nbsp;</span><span>L</span><sup>−1</sup><span><span>&nbsp;</span>in the most downstream reach we measured, partly due to uptake of water by riparian vegetation and partly to intrusion of saline agricultural return flows. The disparity between surface flows and ET can likely be explained by the predominantly phreatophytic plants characterizing the area, which draw water from the aquifer. These results also suggest that the deteriorated condition of vegetation within the riparian zone might not be reversed by a single pulse event and could instead require subsequent pulse flows as a long term strategy to restore vegetation in this riparian ecosystem.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2016.10.056","usgsCitation":"Jarchow, C.J., Nagler, P.L., Glenn, E., Ramirez-Hernandez, J., and Rodriguez-Burgueno, E., 2017, Evapotranspiration by remote sensing: An analysis of the Colorado River Delta before and after the Minute 319 pulse flow to Mexico: Ecological Engineering, v. 106, no. 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,{"id":70189822,"text":"70189822 - 2017 - Historical and projected trends in landscape drivers affecting carbon dynamics in Alaska","interactions":[],"lastModifiedDate":"2017-07-27T13:59:27","indexId":"70189822","displayToPublicDate":"2017-07-27T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Historical and projected trends in landscape drivers affecting carbon dynamics in Alaska","docAbstract":"<p><span>Modern climate change in Alaska has resulted in widespread thawing of permafrost, increased fire activity, and extensive changes in vegetation characteristics that have significant consequences for socioecological systems. Despite observations of the heightened sensitivity of these systems to change, there has not been a comprehensive assessment of factors that drive ecosystem changes throughout Alaska. Here we present research that improves our understanding of the main drivers of the spatiotemporal patterns of carbon dynamics using in&nbsp;situ observations, remote sensing data, and an array of modeling techniques. In the last 60&nbsp;yr, Alaska has seen a large increase in mean annual air temperature (1.7°C), with the greatest warming occurring over winter and spring. Warming trends are projected to continue throughout the 21st century and will likely result in landscape-level changes to ecosystem structure and function. Wetlands, mainly bogs and fens, which are currently estimated to cover 12.5% of the landscape, strongly influence exchange of methane between Alaska's ecosystems and the atmosphere and are expected to be affected by thawing permafrost and shifts in hydrology. Simulations suggest the current proportion of near-surface (within 1&nbsp;m) and deep (within 5&nbsp;m) permafrost extent will be reduced by 9–74% and 33–55% by the end of the 21st century, respectively. Since 2000, an average of 678 595&nbsp;ha/yr was burned, more than twice the annual average during 1950–1999. The largest increase in fire activity is projected for the boreal forest, which could result in a reduction in late-successional spruce forest (8–44%) and an increase in early-successional deciduous forest (25–113%) that would mediate future fire activity and weaken permafrost stability in the region. Climate warming will also affect vegetation communities across arctic regions, where the coverage of deciduous forest could increase (223–620%), shrub tundra may increase (4–21%), and graminoid tundra might decrease (10–24%). This study sheds light on the sensitivity of Alaska's ecosystems to change that has the potential to significantly affect local and regional carbon balance, but more research is needed to improve estimates of land-surface and subsurface properties, and to better account for ecosystem dynamics affected by a myriad of biophysical factors and interactions.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1538","usgsCitation":"Pastick, N.J., Duffy, P.A., Genet, H., Rupp, T.S., Wylie, B.K., Johnson, K., Jorgenson, M., Bliss, N.B., McGuire, A.D., Jafarov, E., and Knight, J.F., 2017, Historical and projected trends in landscape drivers affecting carbon dynamics in Alaska: Ecological Applications, v. 27, no. 5, p. 1383-1402, https://doi.org/10.1002/eap.1538.","productDescription":"20 p.","startPage":"1383","endPage":"1402","ipdsId":"IP-076738","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) 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Scott","contributorId":195180,"corporation":false,"usgs":false,"family":"Rupp","given":"T.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":706471,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","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":706472,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Kristofer","contributorId":195181,"corporation":false,"usgs":false,"family":"Johnson","given":"Kristofer","affiliations":[],"preferred":false,"id":706473,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jorgenson, M. Torre","contributorId":140457,"corporation":false,"usgs":false,"family":"Jorgenson","given":"M. Torre","affiliations":[{"id":13506,"text":"Alaska Ecoscience","active":true,"usgs":false}],"preferred":false,"id":706474,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bliss, Norman B. 0000-0003-2409-5211 bliss@usgs.gov","orcid":"https://orcid.org/0000-0003-2409-5211","contributorId":1921,"corporation":false,"usgs":true,"family":"Bliss","given":"Norman","email":"bliss@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":706475,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"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":706476,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jafarov, Elchin","contributorId":195182,"corporation":false,"usgs":false,"family":"Jafarov","given":"Elchin","affiliations":[],"preferred":false,"id":706477,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Knight, Joseph F.","contributorId":55311,"corporation":false,"usgs":true,"family":"Knight","given":"Joseph","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":706478,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70189851,"text":"70189851 - 2017 - Holocene surface-faulting earthquakes at the Spring Lake and North Creek Sites on the Wasatch Fault Zone: Evidence for complex rupture of the Nephi Segment","interactions":[],"lastModifiedDate":"2018-10-24T16:40:03","indexId":"70189851","displayToPublicDate":"2017-07-27T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Holocene surface-faulting earthquakes at the Spring Lake and North Creek Sites on the Wasatch Fault Zone: Evidence for complex rupture of the Nephi Segment","docAbstract":"The Nephi segment of the Wasatch fault zone (WFZ) comprises two fault strands, the northern and southern strands, which have evidence of recurrent late Holocene surface-faulting earthquakes. We excavated paleoseismic trenches across these strands to refine and expand their Holocene earthquake chronologies; improve estimates of earthquake recurrence, displacement, and fault slip rate; and assess whether the strands rupture separately or synchronously in large earthquakes. Paleoseismic data from the Spring Lake site expand the Holocene record of earthquakes on the northern strand: at least five to seven earthquakes ruptured the Spring Lake site at 0.9 ± 0.2 ka (2σ), 2.9 ± 0.7 ka, 4.0 ± 0.5 ka, 4.8 ± 0.8 ka, 5.7 ± 0.8 ka, 6.6 ± 0.7 ka, and 13.1 ± 4.0 ka, yielding a Holocene mean recurrence of ~1.2–1.5 kyr and vertical slip rate of ~0.5–0.8 mm/yr. Paleoseismic data from the North Creek site help refine the Holocene earthquake chronology for the southern strand: at least five earthquakes ruptured the North Creek site at 0.2 ± 0.1 ka (2σ), 1.2 ± 0.1 ka, 2.6 ± 0.9 ka, 4.0 ± 0.1 ka, and 4.7 ± 0.7 ka, yielding a mean recurrence of 1.1–1.3 kyr and vertical slip rate of ~1.9–2.0 mm/yr. We compare these Spring Lake and North Creek data with previous paleoseismic data for the Nephi segment and report late Holocene mean recurrence intervals of ~1.0–1.2 kyr for the northern strand and ~1.1–1.3 kyr for the southern strand. The northern and southern strands have similar late Holocene earthquake histories, which allow for models of both independent and synchronous rupture. However, considering the earthquake timing probabilities and per-event vertical displacements, we have the greatest confidence in the simultaneous rupture of the strands, including rupture of one strand with spillover rupture to the other. Ultimately, our results improve the surface-faulting earthquake history of the Nephi segment and enhance our understanding of how structural barriers influence normal-fault rupture.","largerWorkTitle":"Paleoseismology of Utah","language":"English","publisher":"Utah Geological Survey","usgsCitation":"DuRoss, C., Hylland, M.D., Hiscock, A., Personius, S., Briggs, R.W., Gold, R.D., Beukelman, G., McDonald, G.N., Erickson, B., McKean, A., Angster, S., King, R., Crone, A.J., and Mahan, S.A., 2017, Holocene surface-faulting earthquakes at the Spring Lake and North Creek Sites on the Wasatch Fault Zone: Evidence for complex rupture of the Nephi Segment, v. 28, 119 p.","productDescription":"119 p.","startPage":"1","endPage":"119","ipdsId":"IP-082848","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":344404,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":344379,"type":{"id":15,"text":"Index Page"},"url":"https://geology.utah.gov/hazards/technical-information/paleoseismology-of-utah-series/"}],"country":"United States","state":"Utah","volume":"28","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"597afba4e4b0a38ca2750b46","contributors":{"authors":[{"text":"DuRoss, Christopher 0000-0002-6963-7451 cduross@usgs.gov","orcid":"https://orcid.org/0000-0002-6963-7451","contributorId":152321,"corporation":false,"usgs":true,"family":"DuRoss","given":"Christopher","email":"cduross@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":706536,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hylland, Michael D.","contributorId":195214,"corporation":false,"usgs":false,"family":"Hylland","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":706537,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hiscock, Adam","contributorId":195215,"corporation":false,"usgs":false,"family":"Hiscock","given":"Adam","affiliations":[],"preferred":false,"id":706538,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Personius, Stephen 0000-0001-8347-7370 personius@usgs.gov","orcid":"https://orcid.org/0000-0001-8347-7370","contributorId":150055,"corporation":false,"usgs":true,"family":"Personius","given":"Stephen","email":"personius@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":706539,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":139002,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":706540,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gold, Ryan D. 0000-0002-4464-6394 rgold@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6394","contributorId":3883,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","email":"rgold@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":706541,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beukelman, Gregg","contributorId":195216,"corporation":false,"usgs":false,"family":"Beukelman","given":"Gregg","affiliations":[],"preferred":false,"id":706542,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McDonald, Geg N","contributorId":195217,"corporation":false,"usgs":false,"family":"McDonald","given":"Geg","email":"","middleInitial":"N","affiliations":[],"preferred":false,"id":706543,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Erickson, Ben","contributorId":195218,"corporation":false,"usgs":false,"family":"Erickson","given":"Ben","email":"","affiliations":[],"preferred":false,"id":706544,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McKean, Adam","contributorId":195219,"corporation":false,"usgs":false,"family":"McKean","given":"Adam","email":"","affiliations":[],"preferred":false,"id":706545,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Angster, Steve","contributorId":195220,"corporation":false,"usgs":false,"family":"Angster","given":"Steve","affiliations":[],"preferred":false,"id":706546,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"King, Roselyn","contributorId":195221,"corporation":false,"usgs":false,"family":"King","given":"Roselyn","email":"","affiliations":[],"preferred":false,"id":706547,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Crone, Anthony J. 0000-0002-3006-406X crone@usgs.gov","orcid":"https://orcid.org/0000-0002-3006-406X","contributorId":790,"corporation":false,"usgs":true,"family":"Crone","given":"Anthony","email":"crone@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":706548,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":706549,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70189857,"text":"70189857 - 2017 - Integrating Breeding Bird Survey and demographic data to estimate Wood Duck population size in the Atlantic Flyway","interactions":[],"lastModifiedDate":"2017-07-27T13:54:42","indexId":"70189857","displayToPublicDate":"2017-07-27T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Integrating Breeding Bird Survey and demographic data to estimate Wood Duck population size in the Atlantic Flyway","docAbstract":"<p><span>The U.S. Fish and Wildlife Service (USFWS) uses data from the North American Breeding Bird Survey (BBS) to assist in monitoring and management of some migratory birds. However, BBS analyses provide indices of population change rather than estimates of population size, precluding their use in developing abundance-based objectives and limiting applicability to harvest management. Wood Ducks (</span><i>Aix sponsa</i><span>) are important harvested birds in the Atlantic Flyway (AF) that are difficult to detect during aerial surveys because they prefer forested habitat. We integrated Wood Duck count data from a ground-plot survey in the northeastern U.S. with AF-wide BBS, banding, parts collection, and harvest data to derive estimates of population size for the AF. Overlapping results between the smaller-scale intensive ground-plot survey and the BBS in the northeastern U.S. provided a means for scaling BBS indices to the breeding population size estimates. We applied these scaling factors to BBS results for portions of the AF lacking intensive surveys. Banding data provided estimates of annual survival and harvest rates; the latter, when combined with parts-collection data, provided estimates of recruitment. We used the harvest data to estimate fall population size. Our estimates of breeding population size and variability from the integrated population model (N̄ = 0.99 million, SD = 0.04) were similar to estimates of breeding population size based solely on data from the AF ground-plot surveys and the BBS (N̄ = 1.01 million, SD = 0.04) from 1998 to 2015. Integrating BBS data with other data provided reliable population size estimates for Wood Ducks at a scale useful for harvest and habitat management in the AF, and allowed us to derive estimates of important demographic parameters (e.g., seasonal survival rates, sex ratio) that were not directly informed by data.</span></p>","language":"English","publisher":"American Ornithological Society","doi":"10.1650/CONDOR-17-7.1","usgsCitation":"Zimmerman, G.S., Sauer, J.R., Boomer, G., Devers, P.K., and Garrettson, P., 2017, Integrating Breeding Bird Survey and demographic data to estimate Wood Duck population size in the Atlantic Flyway: The Condor, v. 119, no. 3, p. 616-628, https://doi.org/10.1650/CONDOR-17-7.1.","productDescription":"13 p.","startPage":"616","endPage":"628","ipdsId":"IP-087327","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":469661,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-17-7.1","text":"Publisher Index Page"},{"id":344393,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"119","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"597afba3e4b0a38ca2750b3a","contributors":{"authors":[{"text":"Zimmerman, Guthrie S.","contributorId":42473,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Guthrie","email":"","middleInitial":"S.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":706574,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sauer, John R. 0000-0002-4557-3019 jrsauer@usgs.gov","orcid":"https://orcid.org/0000-0002-4557-3019","contributorId":146917,"corporation":false,"usgs":true,"family":"Sauer","given":"John","email":"jrsauer@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":706570,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boomer, G. Scott","contributorId":84603,"corporation":false,"usgs":true,"family":"Boomer","given":"G. Scott","affiliations":[],"preferred":false,"id":706571,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Devers, Patrick K.","contributorId":167173,"corporation":false,"usgs":false,"family":"Devers","given":"Patrick","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":706572,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garrettson, Pamela R.","contributorId":146531,"corporation":false,"usgs":false,"family":"Garrettson","given":"Pamela R.","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":706573,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70189870,"text":"70189870 - 2017 - Greenup and evapotranspiration following the Minute 319 pulse flow to Mexico: An analysis using Landsat 8 Normalized Difference Vegetation Index (NDVI) data","interactions":[],"lastModifiedDate":"2017-08-27T18:10:36","indexId":"70189870","displayToPublicDate":"2017-07-27T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Greenup and evapotranspiration following the Minute 319 pulse flow to Mexico: An analysis using Landsat 8 Normalized Difference Vegetation Index (NDVI) data","docAbstract":"<p><span>In the southwestern U.S., many riparian ecosystems have been altered by dams, water diversions, and other anthropogenic activities. This is particularly true of the Colorado River, where numerous dams and agricultural diversions have affected this water course, especially south of the U.S.–Mexico border. In the spring of 2014, 130 million cubic meters of water was released to the lower Colorado River Delta in Mexico. To understand the impact of this pulse flow release on vegetation in the delta’s riparian corridor, we analyzed a modified form of Landsat 8 Operational Land Imager (OLI) Normalized Difference Vegetation Index (NDVI*) data. We assessed greenup during the growing period and estimated actual evapotranspiration (ET</span><sub>a</sub><span>) for the period prior to (yr. 2013) and following (i.e., yr. 2014 and 2015) the pulse flow. We found a significant increase in NDVI* from 2013 to 2014 (P</span><span>&nbsp;</span><span>&lt;</span><span>&nbsp;</span><span>0.05) and a decrease from 2014 to 2015; however, 2015 levels were still significantly higher than in 2013. ET</span><sub>a</sub><span><span>&nbsp;</span>was also higher in 2014 vs. 2013, with an estimated 74.5 million cubic meters in 2013 and 88.9 in 2014. The most intense greening occurred in the zone of inundation but also extended into the non-flooded part of the riparian zone, indicating replenishment of groundwater. These findings suggest the peak response by vegetation to the flow lasted about one year, followed by a decrease in NDVI*. As a long term solution to the declining condition of vegetation, additional pulse releases are likely needed for restoration and survival of riparian plant communities in the Colorado River Delta.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2016.08.007","usgsCitation":"Jarchow, C.J., Nagler, P.L., and Glenn, E., 2017, Greenup and evapotranspiration following the Minute 319 pulse flow to Mexico: An analysis using Landsat 8 Normalized Difference Vegetation Index (NDVI) data: Ecological Engineering, v. 106, no. B, p. 776-783, https://doi.org/10.1016/j.ecoleng.2016.08.007.","productDescription":"8 p.","startPage":"776","endPage":"783","ipdsId":"IP-074636","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":469656,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoleng.2016.08.007","text":"Publisher Index Page"},{"id":344415,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.11886596679688,\n              32.132594234149906\n            ],\n            [\n              -114.67941284179688,\n              32.132594234149906\n            ],\n            [\n              -114.67941284179688,\n              32.72375394304274\n            ],\n            [\n              -115.11886596679688,\n              32.72375394304274\n            ],\n            [\n              -115.11886596679688,\n              32.132594234149906\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"106","issue":"B","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"597afba2e4b0a38ca2750b36","contributors":{"authors":[{"text":"Jarchow, Christopher J. 0000-0002-0424-4104 cjarchow@usgs.gov","orcid":"https://orcid.org/0000-0002-0424-4104","contributorId":5813,"corporation":false,"usgs":true,"family":"Jarchow","given":"Christopher","email":"cjarchow@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":706599,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":706600,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Glenn, Edward P.","contributorId":56542,"corporation":false,"usgs":false,"family":"Glenn","given":"Edward P.","affiliations":[{"id":13060,"text":"Department of Soil, Water and Environmental Science, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":706601,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70189789,"text":"70189789 - 2017 - Shallow marine response to global climate change during the Paleocene-Eocene Thermal Maximum, Salisbury Embayment, USA","interactions":[],"lastModifiedDate":"2017-08-22T13:53:58","indexId":"70189789","displayToPublicDate":"2017-07-26T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3002,"text":"Paleoceanography","active":true,"publicationSubtype":{"id":10}},"title":"Shallow marine response to global climate change during the Paleocene-Eocene Thermal Maximum, Salisbury Embayment, USA","docAbstract":"<p><span>The Paleocene-Eocene Thermal Maximum (PETM) was an interval of extreme warmth that caused disruption of marine and terrestrial ecosystems on a global scale. Here we examine the sediments, flora, and fauna from an expanded section at Mattawoman Creek-Billingsley Road (MCBR) in Maryland and explore the impact of warming at a nearshore shallow marine (30–100&nbsp;m water depth) site in the Salisbury Embayment. Observations indicate that at the onset of the PETM, the site abruptly shifted from an open marine to prodelta setting with increased terrestrial and fresh water input. Changes in microfossil biota suggest stratification of the water column and low-oxygen bottom water conditions in the earliest Eocene. Formation of authigenic carbonate through microbial diagenesis produced an unusually large bulk carbon isotope shift, while the magnitude of the corresponding signal from benthic foraminifera is similar to that at other marine sites. This proves that the landward increase in the magnitude of the carbon isotope excursion measured in bulk sediment is not due to a near instantaneous release of&nbsp;</span><sup>12</sup><span>C-enriched CO</span><sub>2</sub><span>. We conclude that the MCBR site records nearshore marine response to global climate change that can be used as an analog for modern coastal response to global warming.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1002/2017PA003096","usgsCitation":"Self-Trail, J., Robinson, M.M., Bralower, T., Sessa, J.A., Hajek, E.A., Kump, L.R., Trampush, S.M., Willard, D.A., Edwards, L.E., Powars, D.S., and Wandless, G.A., 2017, Shallow marine response to global climate change during the Paleocene-Eocene Thermal Maximum, Salisbury Embayment, USA: Paleoceanography, v. 32, no. 7, p. 710-728, https://doi.org/10.1002/2017PA003096.","productDescription":"19 p.","startPage":"710","endPage":"728","ipdsId":"IP-079165","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":344319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, New Jersey, Pennsylvania, Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.134765625,\n              38\n            ],\n            [\n              -73,\n              38\n            ],\n            [\n              -73,\n              41\n            ],\n            [\n              -78.134765625,\n              41\n            ],\n            [\n              -78.134765625,\n              38\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"32","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-17","publicationStatus":"PW","scienceBaseUri":"5979aa51e4b0ec1a488b8bd9","contributors":{"authors":[{"text":"Self-Trail, Jean 0000-0002-3018-4985 jstrail@usgs.gov","orcid":"https://orcid.org/0000-0002-3018-4985","contributorId":147370,"corporation":false,"usgs":true,"family":"Self-Trail","given":"Jean","email":"jstrail@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":706366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Marci M. 0000-0002-9200-4097 mmrobinson@usgs.gov","orcid":"https://orcid.org/0000-0002-9200-4097","contributorId":2082,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci","email":"mmrobinson@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":706367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bralower, Timothy J.","contributorId":195144,"corporation":false,"usgs":false,"family":"Bralower","given":"Timothy J.","affiliations":[],"preferred":false,"id":706368,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sessa, Jocelyn A.","contributorId":195145,"corporation":false,"usgs":false,"family":"Sessa","given":"Jocelyn","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":706369,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hajek, Elizabeth A.","contributorId":195146,"corporation":false,"usgs":false,"family":"Hajek","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":706370,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kump, Lee R.","contributorId":195147,"corporation":false,"usgs":false,"family":"Kump","given":"Lee","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":706371,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Trampush, Sheila M.","contributorId":195148,"corporation":false,"usgs":false,"family":"Trampush","given":"Sheila","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":706372,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Willard, Debra A. 0000-0003-4878-0942 dwillard@usgs.gov","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":2076,"corporation":false,"usgs":true,"family":"Willard","given":"Debra","email":"dwillard@usgs.gov","middleInitial":"A.","affiliations":[{"id":24693,"text":"Climate Research and Development","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":706373,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Edwards, Lucy E. 0000-0003-4075-3317 leedward@usgs.gov","orcid":"https://orcid.org/0000-0003-4075-3317","contributorId":2647,"corporation":false,"usgs":true,"family":"Edwards","given":"Lucy","email":"leedward@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":706374,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Powars, David S. 0000-0002-6787-8964 dspowars@usgs.gov","orcid":"https://orcid.org/0000-0002-6787-8964","contributorId":1181,"corporation":false,"usgs":true,"family":"Powars","given":"David","email":"dspowars@usgs.gov","middleInitial":"S.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":706375,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wandless, Gregory A.","contributorId":195149,"corporation":false,"usgs":false,"family":"Wandless","given":"Gregory","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":706376,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70189772,"text":"70189772 - 2017 - Topographic, edaphic, and vegetative controls on plant-available water","interactions":[],"lastModifiedDate":"2017-12-12T12:46:04","indexId":"70189772","displayToPublicDate":"2017-07-26T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Topographic, edaphic, and vegetative controls on plant-available water","docAbstract":"<p><span>Soil moisture varies within landscapes in response to vegetative, physiographic, and climatic drivers, which makes quantifying soil moisture over time and space difficult. Nevertheless, understanding soil moisture dynamics for different ecosystems is critical, as the amount of water in a soil determines a myriad ecosystem services and processes such as net primary productivity, runoff, microbial decomposition, and soil fertility. We investigated the patterns and variability in&nbsp;</span><i>in situ</i><span><span>&nbsp;</span>soil moisture measurements converted to plant-available water across time and space under different vegetative cover types and topographic positions at the Marcell Experimental Forest (Minnesota, USA). From 0 – 228.6 cm soil depth, plant-available water was significantly higher under the hardwoods (12%), followed by the aspen (8%) and red pine (5%) cover types. Across the same soil depth, toeslopes were wetter (mean plant-available water = 10%) than ridges and backslopes (mean plant-available water was 8%), although these differences were not statistically significant (</span><i>p</i><span><span>&nbsp;</span>&lt; 0.05). Using a mixed model of fixed and random effects, we found that cover type, soil texture, and time were related to plant-available water and that topography was not significantly related to plant-available water within this low-relief landscape. Additionally, during the three-year monitoring period, red pine and quaking aspen sites experienced plant-available water levels that may be considered limiting to plant growth and function. Given that increasing temperatures and more erratic precipitation patterns associated with climate change may result in decreased soil moisture in this region, these species may be sensitive and vulnerable to future shifts in climate.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/eco.1897","usgsCitation":"Dymond, S.F., Bradford, J.B., Bolstad, P.V., Kolka, R.K., Sebestyen, S.D., and DeSutter, T.S., 2017, Topographic, edaphic, and vegetative controls on plant-available water: Ecohydrology, v. 10, no. 8, p. 1-12, https://doi.org/10.1002/eco.1897.","productDescription":"e1897; 12 p.","startPage":"1","endPage":"12","ipdsId":"IP-078723","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":344327,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-14","publicationStatus":"PW","scienceBaseUri":"5979aa53e4b0ec1a488b8bf0","contributors":{"authors":[{"text":"Dymond, Salli F.","contributorId":195124,"corporation":false,"usgs":false,"family":"Dymond","given":"Salli","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":706300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":706299,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bolstad, Paul V.","contributorId":195125,"corporation":false,"usgs":false,"family":"Bolstad","given":"Paul","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":706301,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kolka, Randall K.","contributorId":16150,"corporation":false,"usgs":false,"family":"Kolka","given":"Randall","email":"","middleInitial":"K.","affiliations":[{"id":13259,"text":"USDA Forest Service Northern Research Station","active":true,"usgs":false}],"preferred":false,"id":706302,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sebestyen, Stephen D.","contributorId":195126,"corporation":false,"usgs":false,"family":"Sebestyen","given":"Stephen","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":706303,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeSutter, Thomas S.","contributorId":195127,"corporation":false,"usgs":false,"family":"DeSutter","given":"Thomas","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":706304,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70191907,"text":"70191907 - 2017 - A synthesis of thresholds for focal species along the U.S. Atlantic and Gulf Coasts: A review of research and applications","interactions":[],"lastModifiedDate":"2020-07-28T15:17:43.789695","indexId":"70191907","displayToPublicDate":"2017-07-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2926,"text":"Ocean and Coastal Management","active":true,"publicationSubtype":{"id":10}},"title":"A synthesis of thresholds for focal species along the U.S. Atlantic and Gulf Coasts: A review of research and applications","docAbstract":"<p><span>The impacts from climate change are increasing the possibility of vulnerable coastal species and habitats crossing critical thresholds that could spur rapid and possibly irreversible changes. For species of high conservation concern, improved knowledge of quantitative thresholds could greatly improve management. To meet this need, we synthesized information pertaining to biological responses as tipping points to sea level rise (SLR) and coastal storms for 45 fish, wildlife, and plant species along the U.S. Atlantic and Gulf Coasts and Caribbean through a literature review and expert elicitation. Although these species were selected based on their ecological, economic, and cultural importance, just over half (56%, n&nbsp;=&nbsp;25) have quantitative threshold data currently available that can be used to assess the effects of SLR and storms during some aspect of their life history. Birds, reptiles, and plants represent the best studied coastal species. Thirteen of the species (29%) are projected to lose at least 50% of their population or habitat (e.g., foraging, nesting, spawning, or resting habitat) in some areas with a 0.5&nbsp;m or greater rise in sea levels by 2100. Two species (a bird and reptile) may gain habitat from projected SLR and be resilient to future impacts. Numeric thresholds were not available for the remaining 20 species we searched for. Coastal fishes, mammals, and amphibians were among the groups representing a major information gap in this field of research. In addition, quantitative threshold responses to coastal storms were scarce for all taxa. While vulnerability assessments and qualitative research related to the impacts of SLR and storms on coastal species and habitats are increasing, work that incorporates quantitative thresholds as response and impact metrics remains limited. Additional monitoring, modeling, and research that provides multiple quantitative thresholds across species' life stages and/or latitudinal gradients is ideal to support robust coastal management and decision-making across spatio-temporal scales in the face of climate change.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ocecoaman.2017.07.012","usgsCitation":"Powell, E.J., Tyrrell, M.C., Milliken, A., Tirpak, J.M., and Staudinger, M., 2017, A synthesis of thresholds for focal species along the U.S. Atlantic and Gulf Coasts: A review of research and applications: Ocean and Coastal Management, v. 148, p. 75-88, https://doi.org/10.1016/j.ocecoaman.2017.07.012.","productDescription":"14 p.","startPage":"75","endPage":"88","ipdsId":"IP-080659","costCenters":[{"id":41705,"text":"Northeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":469667,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ocecoaman.2017.07.012","text":"Publisher Index Page"},{"id":346930,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"148","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e86835e4b05fe04cd4d1ee","contributors":{"authors":[{"text":"Powell, Emily J.","contributorId":197493,"corporation":false,"usgs":false,"family":"Powell","given":"Emily","email":"","middleInitial":"J.","affiliations":[{"id":34949,"text":"DOI North Atlantic Landscape Conservation Cooperative","active":true,"usgs":false}],"preferred":false,"id":713622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tyrrell, Megan C.","contributorId":197494,"corporation":false,"usgs":false,"family":"Tyrrell","given":"Megan","email":"","middleInitial":"C.","affiliations":[{"id":34949,"text":"DOI North Atlantic Landscape Conservation Cooperative","active":true,"usgs":false}],"preferred":false,"id":713623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Milliken, Andrew","contributorId":174078,"corporation":false,"usgs":false,"family":"Milliken","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":713624,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tirpak, John M.","contributorId":85704,"corporation":false,"usgs":true,"family":"Tirpak","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":713625,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Staudinger, Michelle D. 0000-0002-4535-2005","orcid":"https://orcid.org/0000-0002-4535-2005","contributorId":207908,"corporation":false,"usgs":true,"family":"Staudinger","given":"Michelle D.","affiliations":[{"id":484,"text":"Northwest Climate Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":713621,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70189792,"text":"70189792 - 2017 - Dating of river terraces along Lefthand Creek, western High Plains, Colorado, reveals punctuated incision","interactions":[],"lastModifiedDate":"2017-07-25T17:54:54","indexId":"70189792","displayToPublicDate":"2017-07-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Dating of river terraces along Lefthand Creek, western High Plains, Colorado, reveals punctuated incision","docAbstract":"The response of erosional landscapes to Quaternary climate oscillations is recorded in fluvial terraces whose quantitative interpretation requires numerical ages. We investigate gravel-capped strath terraces along the western edge of Colorado's High Plains to constrain the incision history of this shale-dominated landscape. We use ¹⁰Be and ²⁶Al cosmogenic radionuclides (CRNs), optically stimulated luminescence (OSL), and thermally transferred OSL (TT-OSL) to date three strath terraces, all beveled in shale bedrock and then deposited upon by Lefthand Creek, which drains the crystalline core of the Front Range. Our study reveals: (i) a long history (hundreds of thousands of years) of fluvial occupation of the second highest terrace, T2 (Table Mountain), with fluvial abandonment at 92 ± 3 ka; (ii) a brief occupation of a narrow and spatially confined terrace, T3, at 98 ± 7 ka; and (iii) a 10–25 thousand year period of cutting and fluvial occupation of a lower terrace, T4, marked by the deposition of a lower alluvial unit between 59 and 68 ka, followed by deposition of an upper alluvial package at 40 ± 3 ka. In conjunction with other recent CRN studies of strath terraces along the Colorado Front Range (Riihimaki et al., 2006; Dühnforth et al., 2012), our data reveal that long periods of lateral planation and fluvial occupation of strath terraces, sometimes lasting several glacial-interglacial cycles, are punctuated by brief episodes of rapid vertical bedrock incision. These data call into question what a singular terrace age represents, as the strath may be cut at one time (its cutting-age) and the terrace surface may be abandoned at a much later time (its abandonment age), and challenge models of strath terraces that appeal to simple pacing by the glacial-interglacial cycles.","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2017.04.044","usgsCitation":"Foster, M.A., Anderson, R.S., Gray, H.J., and Mahan, S.A., 2017, Dating of river terraces along Lefthand Creek, western High Plains, Colorado, reveals punctuated incision: Geomorphology, v. 295, p. 176-190, https://doi.org/10.1016/j.geomorph.2017.04.044.","productDescription":"15 p.","startPage":"176","endPage":"190","ipdsId":"IP-066143","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":344314,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Boulder","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.67886352539062,\n              39.65539876418111\n            ],\n            [\n              -104.886474609375,\n              39.65539876418111\n            ],\n            [\n              -104.886474609375,\n              40.24179856487036\n            ],\n            [\n              -105.67886352539062,\n              40.24179856487036\n            ],\n            [\n              -105.67886352539062,\n              39.65539876418111\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"295","edition":"295","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"597858b4e4b0ec1a488a0906","contributors":{"authors":[{"text":"Foster, Melissa A.","contributorId":195153,"corporation":false,"usgs":false,"family":"Foster","given":"Melissa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":706398,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Robert S.","contributorId":195154,"corporation":false,"usgs":false,"family":"Anderson","given":"Robert","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":706399,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, Harrison J. 0000-0002-4555-7473 hgray@usgs.gov","orcid":"https://orcid.org/0000-0002-4555-7473","contributorId":4991,"corporation":false,"usgs":true,"family":"Gray","given":"Harrison","email":"hgray@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":706400,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":706397,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70189795,"text":"70189795 - 2017 - Climate and soil texture influence patterns of forb species richness and composition in big sagebrush plant communities across their spatial extent in the western US","interactions":[],"lastModifiedDate":"2017-08-03T08:53:33","indexId":"70189795","displayToPublicDate":"2017-07-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3086,"text":"Plant Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Climate and soil texture influence patterns of forb species richness and composition in big sagebrush plant communities across their spatial extent in the western US","docAbstract":"Article for outlet: Plant Ecology. Abstract: Big sagebrush (Artemisia tridentata Nutt.) plant communities are widespread non-forested drylands in western North American and similar to all shrub steppe ecosystems world-wide are composed of a shrub overstory layer and a forb and graminoid understory layer. Forbs account for the majority of plant species diversity in big sagebrush plant communities and are important for ecosystem function. Few studies have explored the geographic patterns of forb species richness and composition and their relationships with environmental variables in these communities. Our objectives were to examine the small and large-scale spatial patterns in forb species richness and composition and the influence of environmental variables. We sampled forb species richness and composition along transects at 15 field sites in Colorado, Idaho, Montana, Nevada, Oregon, Utah, and Wyoming, built species-area relationships to quantify differences in forb species richness at sites, and used Principal Components Analysis and nonmetric multidimensional scaling to identify relationships among environmental variables and forb species richness and composition. We found that species richness was most strongly correlated with soil texture, while species composition was most related to climate. The combination of climate and soil texture influences water availability, with important consequences for forb species richness and composition, which suggests climate-change induced modification of soil water availability may have important implications for plant species diversity in the future. Our paper is the first to our knowledge to examine forb biodiversity patterns in big sagebrush ecosystems in relation to environmental factors across the big sagebrush region.","language":"English","publisher":"Springer","doi":"10.1007/s11258-017-0743-9","usgsCitation":"Pennington, V.E., Palmquist, K.A., Bradford, J.B., and Lauenroth, W.K., 2017, Climate and soil texture influence patterns of forb species richness and composition in big sagebrush plant communities across their spatial extent in the western US: Plant Ecology, v. 218, no. 8, p. 957-970, https://doi.org/10.1007/s11258-017-0743-9.","productDescription":"14 p.","startPage":"957","endPage":"970","ipdsId":"IP-081502","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":344313,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Idaho, Montana, Nevada, Oregon, Utah, 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University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":706411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palmquist, Kyle A.","contributorId":169517,"corporation":false,"usgs":false,"family":"Palmquist","given":"Kyle","email":"","middleInitial":"A.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":706412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":706410,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lauenroth, William K.","contributorId":80982,"corporation":false,"usgs":false,"family":"Lauenroth","given":"William","email":"","middleInitial":"K.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":706413,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70189796,"text":"70189796 - 2017 - On extracting sediment transport information from measurements of luminescence in river sediment","interactions":[],"lastModifiedDate":"2017-07-25T17:48:30","indexId":"70189796","displayToPublicDate":"2017-07-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"On extracting sediment transport information from measurements of luminescence in river sediment","docAbstract":"Accurately quantifying sediment transport rates in rivers remains an important goal for geomorphologists, hydraulic engineers, and environmental scientists. However, current techniques for measuring long-time scale (102–106 years) transport rates are laborious, and formulae to predict transport are notoriously inaccurate. Here we attempt to estimate sediment transport rates by using luminescence, a property of common sedimentary minerals that is used by the geoscience community for geochronology. This method is advantageous because of the ease of measurement on ubiquitous quartz and feldspar sand. We develop a model from first principles by using conservation of energy and sediment mass to explain the downstream pattern of luminescence in river channel sediment. We show that the model can accurately reproduce the luminescence observed in previously published field measurements from two rivers with very different sediment transport styles. The model demonstrates that the downstream pattern of river sand luminescence should show exponential-like decay in the headwaters which asymptotes to a constant value with further downstream distance. The parameters from the model can then be used to estimate the time-averaged virtual velocity, characteristic transport lengthscale, storage time scale, and floodplain exchange rate of fine sand-sized sediment in a fluvial system. The sediment transport values predicted from the luminescence method show a broader range than those reported in the literature, but the results are nonetheless encouraging and suggest that luminescence demonstrates potential as a sediment transport indicator. However, caution is warranted when applying the model as the complex nature of sediment transport can sometimes invalidate underlying simplifications.","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016JF003858","usgsCitation":"Gray, H.J., Tucker, G.E., Mahan, S.A., McGuire, C., and Rhodes, E.J., 2017, On extracting sediment transport information from measurements of luminescence in river sediment: Journal of Geophysical Research F: Earth Surface, v. 122, no. 3, p. 654-677, https://doi.org/10.1002/2016JF003858.","productDescription":"23 p.","startPage":"654","endPage":"677","ipdsId":"IP-068535","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":469666,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://arxiv.org/abs/1610.06116","text":"Publisher Index Page"},{"id":344312,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-23","publicationStatus":"PW","scienceBaseUri":"597858b3e4b0ec1a488a08f8","contributors":{"authors":[{"text":"Gray, Harrison J. 0000-0002-4555-7473 hgray@usgs.gov","orcid":"https://orcid.org/0000-0002-4555-7473","contributorId":4991,"corporation":false,"usgs":true,"family":"Gray","given":"Harrison","email":"hgray@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":706414,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tucker, Gregory E.","contributorId":177811,"corporation":false,"usgs":false,"family":"Tucker","given":"Gregory","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":706415,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":706416,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGuire, Chris","contributorId":195158,"corporation":false,"usgs":false,"family":"McGuire","given":"Chris","email":"","affiliations":[],"preferred":false,"id":706418,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rhodes, Edward J. 0000-0002-0361-8637","orcid":"https://orcid.org/0000-0002-0361-8637","contributorId":192722,"corporation":false,"usgs":false,"family":"Rhodes","given":"Edward","email":"","middleInitial":"J.","affiliations":[{"id":28159,"text":"University of Sheffield","active":true,"usgs":false},{"id":7081,"text":"University of California - Los Angeles","active":true,"usgs":false}],"preferred":false,"id":706417,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70189748,"text":"70189748 - 2017 - Knowing requires data","interactions":[],"lastModifiedDate":"2017-09-25T13:51:18","indexId":"70189748","displayToPublicDate":"2017-07-24T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Knowing requires data","docAbstract":"Groundwater-flow models are often calibrated using a limited number of observations relative to the unknown inputs required for the model.  This is especially true for models that simulate groundwater surface-water interactions. In this case, subsurface temperature sensors can be an efficient means for collecting long-term data that capture the transient nature of physical processes such as seepage losses.  Continuous and spatially dense network of diverse observation data can be used to improve knowledge of important physical drivers, conceptualize and calibrate variably saturated groundwater flow models.  An example is presented for which the results of such analysis were used to help guide irrigation districts and water management decisions on costly upgrades to conveyance systems to improve water usage, farm productivity and restoration efforts to improve downstream water quality and ecosystems.","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12553","usgsCitation":"Naranjo, R.C., 2017, Knowing requires data: Groundwater, v. 55, no. 5, p. 674-677, https://doi.org/10.1111/gwat.12553.","productDescription":"4 p.","startPage":"674","endPage":"677","ipdsId":"IP-087078","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":344272,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"5","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-11","publicationStatus":"PW","scienceBaseUri":"59770748e4b0ec1a48889f2a","contributors":{"authors":[{"text":"Naranjo, Ramon C. 0000-0003-4469-6831 rnaranjo@usgs.gov","orcid":"https://orcid.org/0000-0003-4469-6831","contributorId":3391,"corporation":false,"usgs":true,"family":"Naranjo","given":"Ramon","email":"rnaranjo@usgs.gov","middleInitial":"C.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":706181,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70255740,"text":"70255740 - 2017 - Partitioning evapotranspiration into green and blue water sources in the conterminous United States","interactions":[],"lastModifiedDate":"2024-07-03T11:47:54.043187","indexId":"70255740","displayToPublicDate":"2017-07-21T06:45:01","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Partitioning evapotranspiration into green and blue water sources in the conterminous United States","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>In this study, we combined two 1 km actual evapotranspiration datasets (ET), one obtained from a root zone water balance model and another from an energy balance model, to partition annual ET into green (rainfall-based) and blue (surface water/groundwater) sources. Time series maps of green water ET (GWET) and blue water ET (BWET) are produced for the conterminous United States (CONUS) over 2001–2015. Our results indicate that average green and blue water for all land cover types in CONUS accounts for nearly 70% and 30% of the total ET, respectively. The ET in the eastern US arises mostly from GWET, and in the western US, it is mostly BWET. Analysis of the BWET in the 16 irrigated areas in CONUS revealed interesting results. While the magnitude of the BWET gradually showed a decline from west to east, the increase in coefficient of variation from west to east confirmed greater use of supplemental irrigation in the central and eastern US. We also established relationships between different hydro-climatology zones and their blue water requirements. This study provides insights on the relative contributions and the spatiotemporal dynamics of GWET and BWET, which could lead to improved water resources management.</p></div></div>","language":"English","publisher":"Nature","doi":"10.1038/s41598-017-06359-w","usgsCitation":"Velpuri, N., and Senay, G.B., 2017, Partitioning evapotranspiration into green and blue water sources in the conterminous United States: Scientific Reports, v. 7, 6191, 12 p., https://doi.org/10.1038/s41598-017-06359-w.","productDescription":"6191, 12 p.","ipdsId":"IP-084659","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":469670,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-017-06359-w","text":"Publisher Index Page"},{"id":430749,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -129.66788570348479,\n              52.802421184487486\n            ],\n            [\n              -129.66788570348479,\n              21.942523530442855\n            ],\n            [\n              -64.45304195348507,\n              21.942523530442855\n            ],\n            [\n              -64.45304195348507,\n              52.802421184487486\n            ],\n            [\n              -129.66788570348479,\n              52.802421184487486\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"7","noUsgsAuthors":false,"publicationDate":"2017-07-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Velpuri, Naga Manohar  0000-0002-6370-1926","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":216911,"corporation":false,"usgs":true,"family":"Velpuri","given":"Naga Manohar ","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":905520,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":905521,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187724,"text":"ofr20171059 - 2017 - Status and trends of adult Lost River (<em>Deltistes luxatus</em>) and shortnose (<em>Chasmistes brevirostris</em>) sucker populations in Upper Klamath Lake, Oregon, 2015","interactions":[],"lastModifiedDate":"2017-07-24T07:42:56","indexId":"ofr20171059","displayToPublicDate":"2017-07-21T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1059","title":"Status and trends of adult Lost River (<em>Deltistes luxatus</em>) and shortnose (<em>Chasmistes brevirostris</em>) sucker populations in Upper Klamath Lake, Oregon, 2015","docAbstract":"<h1>Executive Summary</h1><p>Data from a long-term capture-recapture program were used to assess the status and dynamics of populations of two long-lived, federally endangered catostomids in Upper Klamath Lake, Oregon. Lost River suckers (LRS; <i>Deltistes luxatus</i>) and shortnose suckers (SNS; <i>Chasmistes brevirostris</i>) have been captured and tagged with passive integrated transponder (PIT) tags during their spawning migrations in each year since 1995. In addition, beginning in 2005, individuals that had been previously PIT-tagged were re-encountered on remote underwater antennas deployed throughout sucker spawning areas. Captures and remote encounters during the spawning season in spring 2015 were incorporated into capture-recapture analyses of population dynamics. Cormack-Jolly-Seber (CJS) open population capture-recapture models were used to estimate annual survival probabilities, and a reverse-time analog of the CJS model was used to estimate recruitment of new individuals into the spawning populations. In addition, data on the size composition of captured fish were examined to provide corroborating evidence of recruitment. Separate analyses were done for each species and also for each subpopulation of LRS. Shortnose suckers and one subpopulation of LRS migrate into tributary rivers to spawn, whereas the other LRS subpopulation spawns at groundwater upwelling areas along the eastern shoreline of the lake. Characteristics of the spawning migrations in 2015, such as the effects of temperature on the timing of the migrations, were similar to past years.</p><p>Capture-recapture analyses for the LRS subpopulation that spawns at the shoreline areas included encounter histories for 13,617 individuals, and analyses for the subpopulation that spawns in the rivers included 39,321 encounter histories. With a few exceptions, the survival of males and females in both subpopulations was high (greater than or equal to 0.86) between 1999 and 2013. Survival was notably lower for males from the rivers in 2000, 2006, and 2012. Survival probabilities were lower for males from the shoreline areas in 2002. Between 2001 and 2014, the abundance of males in the lakeshore spawning subpopulation decreased by at least 59 percent and the abundance of females decreased by at least 53 percent. By combining information from capture-recapture models and size composition data, we concluded that the abundance of both sexes in the river spawning subpopulation of LRS likely has decreased at rates similar to the rates for the lakeshore spawning subpopulation between 2002 and 2014. Capture-recapture analyses for SNS included encounter histories for 20,981 individuals. Most annual survival estimates between 2005 and 2009 were high (greater than 0.88), but both sexes of SNS experienced lower and more variable survival in 2001–04 and 2010–13. The best-case scenario for SNS, based on capture-recapture recruitment modeling, indicates that the abundance of males in the spawning population decreased by 77 percent and the abundance of females decreased by 74 percent between 2001 and 2014. Decreases in abundance for both sexes likely are greater than these estimates indicate. Despite relatively high survival in most years, we conclude that both species have experienced substantial decreases in the abundance of spawning adults because losses from mortality have not been balanced by recruitment of new individuals. The status of the endangered sucker populations in Upper Klamath Lake remains worrisome, especially for SNS.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171059","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Hewitt, D.A., Janney, E.C., Hayes, B.S., and Harris, A.C., 2017, Status and trends of adult Lost River (<em>Deltistes luxatus</em>) and shortnose (<em>Chasmistes brevirostris</em>) sucker populations in Upper Klamath Lake, Oregon, 2015: U.S. Geological Survey Open-File Report 2017–1059, 38 p., https://doi.org/10.3133/ofr20171059.","productDescription":"iv, 38 p.","onlineOnly":"Y","ipdsId":"IP-081967","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":344162,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1059/ofr20171059.pdf","text":"Report","size":"2.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1059"},{"id":344161,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1059/coverthb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.17,\n              42.2\n            ],\n            [\n              -121.75,\n              42.2\n            ],\n            [\n              -121.75,\n              42.62\n            ],\n            [\n              -122.17,\n              42.62\n            ],\n            [\n              -122.17,\n              42.2\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"http://wfrc.usgs.gov/\" target=\"blank\" data-mce-href=\"http://wfrc.usgs.gov/\">Western Fisheries Research Center</a><br> U.S. Geological Survey<br> 6505 NE 65th Street<br> Seattle, Washington 98115</p>","tableOfContents":"<ul><li>Executive Summary</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Acknowledgments</li><li>Project Funding</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2017-07-21","noUsgsAuthors":false,"publicationDate":"2017-07-21","publicationStatus":"PW","scienceBaseUri":"597312a7e4b0ec1a488718b5","contributors":{"authors":[{"text":"Hewitt, David A. 0000-0002-5387-0275 dhewitt@usgs.gov","orcid":"https://orcid.org/0000-0002-5387-0275","contributorId":3767,"corporation":false,"usgs":false,"family":"Hewitt","given":"David","email":"dhewitt@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":695313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Janney, Eric C. 0000-0002-0228-2174","orcid":"https://orcid.org/0000-0002-0228-2174","contributorId":83629,"corporation":false,"usgs":true,"family":"Janney","given":"Eric","email":"","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":695314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, Brian S. 0000-0001-8229-4070","orcid":"https://orcid.org/0000-0001-8229-4070","contributorId":37022,"corporation":false,"usgs":true,"family":"Hayes","given":"Brian S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":695315,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harris, Alta C. 0000-0002-2123-3028 aharris@usgs.gov","orcid":"https://orcid.org/0000-0002-2123-3028","contributorId":3490,"corporation":false,"usgs":true,"family":"Harris","given":"Alta C.","email":"aharris@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":695316,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}