We present a detailed analysis of the seasonal distribution, size, morphological variability and geochemistry of co‐occurring pink and white chromotypes of Globigerinoides ruberfrom a high‐resolution (1–2 weeks) and long‐running sediment trap time series in the northern Gulf of Mexico. We find no difference in the seasonal flux of the two chromotypes. Although flux of G. ruber is consistently lowest in winter, the flux‐weighted signal exported to marine sediments represents mean annual conditions in the surface mixed‐layer. We observe the same morphological diversity among pink specimens of G. ruber as white. Comparison of the oxygen and carbon isotopic composition (δ18O and δ13C) of two morphotypes (sensu stricto and sensu lato) of pink G. ruber reveals the isotopes to be indistinguishable. The test size distribution within the population varies seasonally, with the abundance of large individuals increasing (decreasing) with increasing (decreasing) sea surface temperature (SST). We find no systematic offsets in the Mg/Ca and δ18O of co‐occurring pink and white G. ruber. The sediment trap data set shows that the Mg/Ca‐temperature sensitivity for both chromotypes is much lower than the canonical 9% per °C, which can likely be attributed to the secondary influence of both salinity and pH on foraminiferal Mg/Ca. Using paired Mg/Ca and δ18O we evaluate the performance of a suite of published equations for calculating SST, sea surface salinity (SSS) and isotopic composition of seawater (δ18Osw), including a new salinity‐δ18Oswrelationship for the northern Gulf of Mexico from water column observations.
","language":"English","publisher":"AGU","doi":"10.1029/2018PA003417","usgsCitation":"Richey, J.N., Thirumalai, K., Khider, D., Reynolds, C., Partin, J.W., and Quinn, T.M., 2019, Considerations for Globigerinoides ruber (white and pink) paleoceanography: Comprehensive insights from a long‐running sediment trap: Paleoceanography and Paleoclimatology, v. 34, no. 3, p. 353-373, https://doi.org/10.1029/2018PA003417.","productDescription":"21 p.","startPage":"353","endPage":"373","ipdsId":"IP-098817","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":460495,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018pa003417","text":"Publisher Index Page"},{"id":437581,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KK7UD6","text":"USGS data release","linkHelpText":"Globigerinoides ruber Sediment Trap Data in the Gulf of Mexico"},{"id":361245,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Richey, Julie N. 0000-0002-2319-7980 jrichey@usgs.gov","orcid":"https://orcid.org/0000-0002-2319-7980","contributorId":174046,"corporation":false,"usgs":true,"family":"Richey","given":"Julie","email":"jrichey@usgs.gov","middleInitial":"N.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":757203,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thirumalai, Kaustubh","contributorId":127444,"corporation":false,"usgs":false,"family":"Thirumalai","given":"Kaustubh","email":"","affiliations":[{"id":6732,"text":"Geological Sciences, University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":757205,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Khider, Deborah","contributorId":213111,"corporation":false,"usgs":false,"family":"Khider","given":"Deborah","email":"","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":757206,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reynolds, Caitlin E. 0000-0002-1724-3055","orcid":"https://orcid.org/0000-0002-1724-3055","contributorId":204634,"corporation":false,"usgs":true,"family":"Reynolds","given":"Caitlin E.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":757204,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Partin, Judson W.","contributorId":203459,"corporation":false,"usgs":false,"family":"Partin","given":"Judson","email":"","middleInitial":"W.","affiliations":[{"id":36624,"text":"Institute for Geophysics, Jackson School of Geosciences, University of Texas at Austin, J. J. Pickle Research Campus, Building 196, 10100 Burnet Road (R2200), Austin, Texas 78758, USA","active":true,"usgs":false}],"preferred":false,"id":757207,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Quinn, Terrence M.","contributorId":82949,"corporation":false,"usgs":false,"family":"Quinn","given":"Terrence","email":"","middleInitial":"M.","affiliations":[{"id":6732,"text":"Geological Sciences, University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":757208,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70201141,"text":"sir20185164 - 2019 - Assessment of bird exposure to lead at Tyndall and Beale Air Force Bases, 2016–17","interactions":[],"lastModifiedDate":"2019-02-06T10:31:52","indexId":"sir20185164","displayToPublicDate":"2019-02-05T14:30:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5164","displayTitle":"Assessment of Bird Exposure to Lead at Tyndall and Beale Air Force Bases, 2016–17","title":"Assessment of bird exposure to lead at Tyndall and Beale Air Force Bases, 2016–17","docAbstract":"Soil contamination by lead (Pb) from past small munitions training on Beale Air Force Base, California, and Tyndall Air Force Base, Florida, may result in adverse effects for passerine birds that utilize the locations. A study was conducted during 2016-17 by the U.S. Geological Survey, in cooperation with the U.S. Fish and Wildlife Service and U.S. Air Force, at both Air Force Bases (AFBs) to assess the risk of bird exposure to Pb. Two different methods were used to estimate exposure. The first was analysis of blood and feather samples collected from birds captured on both AFBs, and the second was food chain modeling using data on Pb concentrations in dietary items (invertebrates and seeds) collected from both AFBs. Lead concentrations in blood and feathers for birds captured at Beale AFB indicate low exposure and risk; potential toxicity is possible based on blood and feather data for birds from Tyndall AFB. Food chain modeling utilizing dietary contamination indicates a risk likelihood of up to 35 percent at Beale AFB and up to 34 percent at Tyndall AFB. Lead exposure from incidental soil ingestion increased risk likelihood at both AFBs and is a significant uncertainty in this risk assessment. A companion data release for data collected during this project can be found at https://doi.org/10.5066/P92YXMQ2.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185164","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service, U.S. Air Force","usgsCitation":"Bargar, T.A., 2019, Assessment of bird exposure to lead at Tyndall and Beale Air Force Bases, 2016–17: U.S. Geological Survey Scientific Investigations Report 2018–5164, 30 p., https://doi.org/10.3133/sir20185164.","productDescription":"Report: viii, 30 p.; Data release","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-101102","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":437582,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92YXMQ2","text":"USGS data release","linkHelpText":"Assessment of bird exposure to lead at Tyndall and Beale Air Force Bases"},{"id":361009,"rank":3,"type":{"id":30,"text":"Data Release"},"url":" https://doi.org/10.5066/P92YXMQ2","text":"USGS data release","description":"USGS data release","linkHelpText":"Assessment of bird exposure to lead at Tyndall and Beale Air Force Bases"},{"id":360558,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5164/coverthb2.jpg"},{"id":360559,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5164/sir20185164.pdf","text":"Report","size":"14.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5164"}],"country":"United States","state":"California, Florida","otherGeospatial":"Beale Air Force Base, St. Joe Bay Buffer Preserve, Tyndall Air Force Base","contact":"Director, Wetland and Aquatic Research Center
U.S. Geological Survey
7920 NW 71st Street
Gainesville, FL 32653
In the late 1800s, John Wesley Powell, second Director of the U.S. Geological Survey (USGS), proposed gaging the flow of rivers and streams in the Western United States to evaluate the potential for irrigation. Around the same time, several cities in the Eastern United States established primitive streamgages to help design water-supply systems. Streamgaging technology has greatly advanced since the 1800s, and USGS hydrographers have made at least one streamflow measurement at more than 37,000 sites throughout the years. Today, the USGS Groundwater and Streamflow Information Program supports the collection and (or) delivery of both streamflow and water-level information for more than 8,500 sites (continuous or partial record) and water-level information alone for more than 1,700 additional sites. The data are served online—most in near realtime—to meet many diverse needs; more than 640 million requests for streamflow information were fulfilled during the 2017 water year (October 1, 2016‒September 30, 2017).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183081","collaboration":" ","usgsCitation":"Eberts, S.M., Woodside, M.D., Landers, M.N., and Wagner, C.R., 2018, Monitoring the pulse of our Nation's rivers and streams—The U.S. Geological Survey streamgaging network: U.S. Geological Survey Fact Sheet 2018–3081, 2 p., https://doi.org/10.3133/fs20183081.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-101883","costCenters":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"links":[{"id":360982,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3081/fs20183081.pdf","text":"Report","size":"5.40 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3081"},{"id":360981,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3081/coverthb2.jpg"}],"contact":"Groundwater and Stream Flow Information Program
U.S. Geological Survey Water Mission Area
12201 Sunrise Valley Drive
Reston, VA 20192
During late summer and fall, elk (Cervus canadensis) need access to adequate nutrition to support physiological requirements for reproduction and overwinter survival. The archery hunting season often occurs during this period and can affect distributions of elk as they seek areas that minimize perceived harvest risk. Areas that confer lower harvest risk may provide relatively low‐value nutrition, resulting in a potential tradeoff between minimizing risk and accessing adequate forage. We used radio‐collar data collected from female elk during late summer and fall (Aug–Oct) and estimated resource selection models to evaluate the extent of this potential risk‐nutrition tradeoff. To evaluate if elk exposed to a greater hunting risk altered selection for forage resources, we assessed the relationship between individuals’ selection coefficients for forage and the proportion of their late‐summer‐fall home range accessible to hunters (our metric of hunting risk). Our results indicate that during the archery season, elk with higher‐risk home ranges selected more strongly for areas farther from motorized routes than elk with lower‐risk home ranges. Regardless of the level of risk, however, elk maintained or increased selection for areas with higher forage quality, suggesting that elk did not compromise access to nutritional resources during the archery season. Elk with higher‐risk home ranges were also exposed to the poorest nutrition and increased their selection for areas with higher forage quality more strongly than elk with lower‐risk home ranges during the hunting season. Elk with lower‐risk home ranges had access to the highest nutrition, which may be due to the availability of concentrated sources of high‐quality forage from irrigated agricultural areas on private lands that restricted hunter access. Resource agencies interested in encouraging elk to remain on public lands during the hunting seasons might consider closing motorized travel during the archery season to increase security on public lands, limiting hunter pressure on public lands, improving forage quality on public lands, and working with private land owners to enhance hunter accessibility and restrict elk access to high‐quality forage resources.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21638","usgsCitation":"DeVoe, J., Proffitt, K., Mitchell, M.S., Jourdonnais, C., and Barker, K.J., 2019, Elk forage and risk tradeoffs during the fall archery season: Journal of Wildlife Management, v. 83, no. 4, p. 801-816, https://doi.org/10.1002/jwmg.21638.","productDescription":"16 p.","startPage":"801","endPage":"816","ipdsId":"IP-092979","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":379547,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Bitterroot River valley, Sapphire Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.488525390625,\n 46.01985337287631\n ],\n [\n -113.54644775390625,\n 46.01985337287631\n ],\n [\n -113.54644775390625,\n 46.92963428624288\n ],\n [\n -114.488525390625,\n 46.92963428624288\n ],\n [\n -114.488525390625,\n 46.01985337287631\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"83","issue":"4","noUsgsAuthors":false,"publicationDate":"2019-02-05","publicationStatus":"PW","contributors":{"authors":[{"text":"DeVoe, Jesse","contributorId":243380,"corporation":false,"usgs":false,"family":"DeVoe","given":"Jesse","email":"","affiliations":[{"id":48645,"text":"umt","active":true,"usgs":false}],"preferred":false,"id":802168,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Proffitt, Kelly 0000-0001-5528-3309","orcid":"https://orcid.org/0000-0001-5528-3309","contributorId":210093,"corporation":false,"usgs":false,"family":"Proffitt","given":"Kelly","email":"","affiliations":[{"id":38065,"text":"Montana Fish, Wildlife and Parks, Bozeman, Montana","active":true,"usgs":false}],"preferred":false,"id":802169,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":802170,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jourdonnais, Craig","contributorId":243381,"corporation":false,"usgs":false,"family":"Jourdonnais","given":"Craig","email":"","affiliations":[{"id":48708,"text":"private entitty","active":true,"usgs":false}],"preferred":false,"id":802171,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barker, Kristin J.","contributorId":204755,"corporation":false,"usgs":false,"family":"Barker","given":"Kristin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":802172,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70202003,"text":"70202003 - 2019 - Long-term suppression of the Lake Trout (Salvelinus namaycush) population in Lake Pend Oreille, Idaho","interactions":[],"lastModifiedDate":"2019-08-19T14:16:28","indexId":"70202003","displayToPublicDate":"2019-02-05T10:01:43","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Long-term suppression of the Lake Trout (Salvelinus namaycush) population in Lake Pend Oreille, Idaho","title":"Long-term suppression of the Lake Trout (Salvelinus namaycush) population in Lake Pend Oreille, Idaho","docAbstract":"A simulation model of lake trout Salvelinus namaycush (Walbaum 1792) population dynamics in Lake Pend Oreille, Idaho, was used to estimate (1) the optimal allocation of effort among gillnet mesh sizes that minimizes abundance in the shortest time; (2) the number of years needed to suppress the population to 90% of peak abundance; and (3) once suppressed, how much effort could be reduced to sustain abundance indefinitely. A density-dependent stochastic simulation model was parameterized from data in 2006–2016, including parameter uncertainty and implementation error. Time to suppression could be reduced by using more large-mesh gillnet than was used during 2007–2016. Continued fishing at the peak level of total gillnetting effort, but using an optimal effort allocation among meshes, would suppress abundance to the target level within 7–13 years. Once suppressed, gillnet effort could be reduced 76–86% (157,000 m, 95% CI 116,000–199,000 m) to sustain abundance at the target level. Our findings suggest that time to suppression of lake trout populations in other systems may be able to be reduced by optimizing gillnet effort allocation among mesh sizes, and that total effort can be greatly reduced to sustain abundance at the reduced level thereafter.
","language":"English","publisher":"Springer","doi":"10.1007/s10750-019-3890-2","usgsCitation":"Hansen, M.J., Corsi, M.P., and Dux, A.M., 2019, Long-term suppression of the Lake Trout (Salvelinus namaycush) population in Lake Pend Oreille, Idaho: Hydrobiologia, v. 840, no. 1, p. 335-349, https://doi.org/10.1007/s10750-019-3890-2.","productDescription":"15 p.","startPage":"335","endPage":"349","ipdsId":"IP-103474","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":361007,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Lake Pend Oreille","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.6095733642578,\n 48.24525380784484\n ],\n [\n -116.61300659179688,\n 48.22787470681804\n 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-116.45576477050783,\n 48.31927743759854\n ],\n [\n -116.47499084472656,\n 48.31334122833889\n ],\n [\n -116.47705078125,\n 48.30009642638653\n ],\n [\n -116.50108337402342,\n 48.31242790407178\n ],\n [\n -116.5264892578125,\n 48.310144521881575\n ],\n [\n -116.55326843261719,\n 48.2964420830209\n ],\n [\n -116.55876159667967,\n 48.280908205375084\n ],\n [\n -116.55326843261719,\n 48.2731394946377\n ],\n [\n -116.58485412597656,\n 48.262627005675796\n ],\n [\n -116.6095733642578,\n 48.24525380784484\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"840","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Hansen, Michael J. 0000-0001-8522-3876 michaelhansen@usgs.gov","orcid":"https://orcid.org/0000-0001-8522-3876","contributorId":5006,"corporation":false,"usgs":true,"family":"Hansen","given":"Michael","email":"michaelhansen@usgs.gov","middleInitial":"J.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":756611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corsi, Matthew P.","contributorId":212797,"corporation":false,"usgs":false,"family":"Corsi","given":"Matthew","email":"","middleInitial":"P.","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":756612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dux, Andrew M.","contributorId":212798,"corporation":false,"usgs":false,"family":"Dux","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":756613,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70201989,"text":"70201989 - 2019 - Evaluation of temporally correlated noise in global navigation satellite system time series: Geodetic monument performance","interactions":[],"lastModifiedDate":"2019-03-04T11:09:16","indexId":"70201989","displayToPublicDate":"2019-02-04T16:12:29","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of temporally correlated noise in global navigation satellite system time series: Geodetic monument performance","docAbstract":"Estimates of background noise of Global Positioning System‐derived time series of positions for 740 sites in the western United States are examined. These data consist of daily epochs of three components of displacements that are at least 9.75 years long within the interval between 2000 and 2018. We find that these time series have significant temporal correlations that could be represented as a combination of white, flicker, random‐walk, and band‐pass filtered noise. From this noise model, two other metrics are computed: the root‐mean‐square of seasonal noise, that is, the integrated power spectrum between 0.5 and 2 cycles per year, and the standard error in position rate for a 10‐year‐long time series. These two metrics are used to evaluate potential correlations with different geographic regions and with different methods of construction of monuments used to attach the Global Positioning System antenna to the Earth's surface. The sites with the lowest noise, both in terms of rate error and seasonal root‐mean‐square, are located in semiarid regions east of the rain shadow provided by the Cascade and Sierra Nevada mountain ranges. In addition, according to statistical rank tests, monuments known as drilled‐braced monuments perform 30% to 50% better than other monument types (buildings, boreholes, piers, etc.) in terms of having smaller rate errors and lower seasonal noise.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JB016783","usgsCitation":"Langbein, J., and Svarc, J.L., 2019, Evaluation of temporally correlated noise in global navigation satellite system time series: Geodetic monument performance: Journal of Geophysical Research B: Solid Earth, v. 124, no. 1, p. 925-942, https://doi.org/10.1029/2018JB016783.","productDescription":"18 p.","startPage":"925","endPage":"942","ipdsId":"IP-099225","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":467933,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jb016783","text":"Publisher Index Page"},{"id":360990,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"124","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Langbein, John 0000-0002-7821-8101","orcid":"https://orcid.org/0000-0002-7821-8101","contributorId":212735,"corporation":false,"usgs":true,"family":"Langbein","given":"John","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":756441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Svarc, Jerry L. 0000-0002-2802-4528","orcid":"https://orcid.org/0000-0002-2802-4528","contributorId":212736,"corporation":false,"usgs":true,"family":"Svarc","given":"Jerry","email":"","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":756442,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70201779,"text":"ofr20181176 - 2019 - Demographic responses of least terns and piping plovers to the 2011 Missouri River flood—A large-scale case study","interactions":[],"lastModifiedDate":"2019-02-05T09:24:10","indexId":"ofr20181176","displayToPublicDate":"2019-02-04T15:51:57","publicationYear":"2019","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":"2018-1176","displayTitle":"Demographic Responses of Least Terns and Piping Plovers to the 2011 Missouri River Flood—A Large-Scale Case Study","title":"Demographic responses of least terns and piping plovers to the 2011 Missouri River flood—A large-scale case study","docAbstract":"A catastrophic flood event on the Missouri River system in 2011 led to substantial changes in abundance and distribution of unvegetated sand habitat. This river system is a major component of the breeding range for interior Least terns (Sternula antillarum; “terns”) and piping plovers (Charadrius melodus; “plovers”), both of which are Federally listed ground-nesting birds that prefer open, unvegetated sand and gravel nesting substrates on sandbars and shorelines. The 2011 flood inundated essentially all tern and plover nesting habitat during 2011, but it had potential to generate post-flood habitat conditions that favored use by terns and plovers in subsequent years. We compared several tern and plover demographic parameters during the pre-flood and post-flood periods on the Garrison Reach and Lake Sakakawea, North Dakota, to determine how this event influenced these species (both species on the Garrison Reach, and plovers only on Lake Sakakawea). The principal parameters we measured (nest survival, chick survival, and breeding population) showed spatial and temporal variation typical of opportunistic species occupying highly variable habitats. There was little evidence that nest survival of least terns differed between pre- and post-flood. During 2012 when habitat was most abundant on the Garrison Reach and Lake Sakakawea, piping plover nest survival was higher than in any other year in the study, but returned to rates comparable to pre-flood years in 2013. Chick survival for terns on the Garrison Reach and plovers on Lake Sakakawea showed a similar pattern to plover nest survival, with the 2012 rate exceeding all other years of the study, and the remaining pre-flood and post-flood years being generally similar but slightly higher in post-flood years. However, plover chick survival on the Garrison Reach in 2012 was similar to pre-flood years, and increased annually thereafter to its highest rate in 2014. Although wide confidence intervals precluded firm conclusions about flood effects on breeding populations, the general pattern suggested lower populations of plovers but higher populations of least terns immediately after the flood. Despite near total absence of breeding habitat on either study area during the flood of 2011, populations of both species persisted after the flood due to their propensity to disperse and/or forgo breeding for at least a year. Tern and plover populations have similarly persisted and recovered after the flood, but their mechanisms for persistence likely differ. Data on tern dispersal is generally lacking, but they are thought to show little fidelity to their natal grounds, have a propensity to disperse potentially long distances, and routinely forgo breeding until their second year, thus a lost opportunity to breed in a given area may be easily overcome. Plovers exhibit stronger demographic ties to the general area in which they previously nested, yet they occupy much broader nesting habitat features than terns and exploit three major landforms in the Dakotas (free-flowing rivers, reservoir shorelines, and wetland shorelines). Consequently, dispersal to and from non-Missouri River habitats and potential to exploit non-traditional habitats likely sustained the Northern Great Plains population through the flood event. Terns and plovers normally occupy similar habitats on the Missouri River and both species experienced similar loss of a breeding season due to the flood. Persistence of these populations after the flood underscores the importance of understanding their unique demographic characteristics and the context within which the Missouri River operates.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181176","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Anteau, M.J., Sherfy, M.H., Shaffer, T.L., Swift, R.J., Toy, D.L., and Dovichin, C.M., 2019, Demographic responses of least terns and piping plovers to the 2011 Missouri River flood—A large-scale case study: U.S. Geological Survey Open-File Report 2018–1176, 33 p., https://doi.org/10.3133/ofr20181176.","productDescription":"Report: viii, 33 p.; Data Release","numberOfPages":"46","onlineOnly":"N","ipdsId":"IP-079007","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":360855,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VHGRDD","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Least tern and piping plover responses to the 2011 Missouri River flood: Nest, chick, and adult datasets"},{"id":360853,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1176/coverthb2.jpg"},{"id":360854,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1176/ofr20181176.pdf","text":"Report","size":"3.71 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018–1176"}],"country":"United States","state":"North Dakota","otherGeospatial":"Garrison Reach, Lake Sakakawea","contact":"Director, Northern Prairie Wildlife Research Center
U.S. Geological Survey
8711 37th Street Southeast
Jamestown, ND 58401
The innermost ring in impact basins exposes material originating from various depths, and can be used to study the composition of the lunar crust with depth. In this study, we conduct quantitative mineralogical analyses of the innermost ring in 13 lunar impact basins using reflectance data from the Kaguya Multiband Imager and radiative transfer modeling. We use results from recent hydrocode modeling to calculate the depth of origin of the material exposed by the innermost rings. We find that the most abundant rock type on the innermost ring of most basins is anorthosite. The mafic assemblages are dominated by olivine in some cases, but most often by pyroxene. The impact modeling suggests that the innermost ring material was excavated from a wide range of depths. Here we focus on two mean depths: a crustal component and a mantle component. The crustal component largely dominates the innermost ring material, and the mantle component is present on the innermost ring of 9 of the basins we studied. On these 9 rings, the abundance of low-calcium pyroxene decreases with the proportion of crustal component, suggesting a dominantly mantle origin. However, as we do not detect exposures of ultramafic material, such mantle material is possibly present at the sub-pixel scale (<62 m). This quantitative study reassesses the composition of the lunar crust and upper mantle, which is of great importance for understanding the formation of the Moon.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.pss.2018.10.003","usgsCitation":"Lemelin, M., Lucey, P.G., Miljkovic, K., Gaddis, L.R., Hare, T.M., and Ohtake, M., 2019, The compositions of the lunar crust and upper mantle: Spectral analysis of the inner rings of lunar impact basins: Planetary and Space Science, v. 165, p. 230-243, https://doi.org/10.1016/j.pss.2018.10.003.","productDescription":"14 p.","startPage":"230","endPage":"243","ipdsId":"IP-080945","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":460501,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://id.nii.ac.jp/1696/00030188/","text":"Publisher Index Page"},{"id":361216,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"165","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lemelin, Myriam","contributorId":213214,"corporation":false,"usgs":false,"family":"Lemelin","given":"Myriam","email":"","affiliations":[],"preferred":false,"id":757133,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lucey, Paul G.","contributorId":100218,"corporation":false,"usgs":true,"family":"Lucey","given":"Paul","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":757134,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miljkovic, Katarina","contributorId":213215,"corporation":false,"usgs":false,"family":"Miljkovic","given":"Katarina","email":"","affiliations":[],"preferred":false,"id":757135,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gaddis, Lisa R. 0000-0001-9953-5483 lgaddis@usgs.gov","orcid":"https://orcid.org/0000-0001-9953-5483","contributorId":2817,"corporation":false,"usgs":true,"family":"Gaddis","given":"Lisa","email":"lgaddis@usgs.gov","middleInitial":"R.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":757136,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hare, Trent M. 0000-0001-8842-389X thare@usgs.gov","orcid":"https://orcid.org/0000-0001-8842-389X","contributorId":3188,"corporation":false,"usgs":true,"family":"Hare","given":"Trent","email":"thare@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":757137,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ohtake, Makiko","contributorId":213216,"corporation":false,"usgs":false,"family":"Ohtake","given":"Makiko","email":"","affiliations":[],"preferred":false,"id":757138,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70203646,"text":"70203646 - 2019 - Ecological consequences of anomalies in atmospheric moisture and snowpack","interactions":[],"lastModifiedDate":"2019-05-30T15:40:41","indexId":"70203646","displayToPublicDate":"2019-02-01T15:39:05","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Ecological consequences of anomalies in atmospheric moisture and snowpack","docAbstract":"Although increased frequency of extreme‐weather events is one of the most secure predictions associated with contemporary climate change, effects of such events on distribution and abundance of climate‐sensitive species remain poorly understood. Montane ecosystems may be especially sensitive to extreme weather because of complex abiotic and biotic interactions that propagate from climate‐driven reductions in snowpack. Snowpack not only protects subnivean biotas from extreme cold, but also influences forage availability through timing of melt‐off and water availability. We related relative abundances of an alpine mammal, the American pika (Ochotona princeps), to measures of weather and snowpack dynamics over an 8‐yr period that included before and after a year of record‐low snowpack in Washington, USA. We sought to (1) quantify any change in pika abundance associated with the snowpack anomaly and (2) identify aspects of weather and snowpack that influenced abundance of pikas. Pikas showed a 1‐yr lag response to the snowpack anomaly and exhibited marked declines in abundance at elevations below 1,400 m simultaneous with increased abundances at higher elevations. Atmospheric moisture, indexed by vapor pressure deficit (VPD), was especially important, evidenced by strong support for the top‐ranked model that included the interaction of VPD with snowpack duration. Notably, our novel application of VPD from gridded climate data for analyses of animal abundances shows strong potential for improving species distribution models because VPD represents an important aspect of weather that influences the physiology and habitat of biota. Pikas were apparently affected by cold stress without snowpack at mid elevations, whereas changes to forage associated with snowpack and VPD were influential at high and low elevations. Our results reveal context dependency in pika responses to weather and illustrate how snow drought can lead to rapid change in the abundance of subnivean animals.
Floodplains and riparian wetlands provide several ecosystem services that directly benefit people. We present a methodology for valuing the flood attenuation ecosystem service in Difficult Run, a suburban watershed with extensive natural floodplains in northern Virginia. High-resolution lidar-derived data were combined with GIS modeling techniques to produce estimates of flood inundation. We combined the modeled estimates with parcel-level property and primary economic data using a baseline and a counterfactual scenario to estimate the magnitude of flood attenuation and the associated value of the ecosystem service. Our framework brings new models and data to look at floodplains and an alternative land surface scenario in a way that has not previously been done. Annualized avoided property losses totaled $42,184 in the baseline scenario and $115,596 in the counterfactual scenario for the combined 200-, 100-, 50-, 20-, 10-, and 5-year flood events. We estimate the total annualized value of the flood attenuation ecosystem service in Difficult Run is $73,412, which is $77 per hectare of floodplain area and is consistent with similar valuation studies of floodplains. The framework presented here is not specific to the study area and could be deployed at larger spatial areas in other locations. Our methods may better inform land use decision making on the impacts of development in and surrounding floodplain areas.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2018.10.023","usgsCitation":"Lawrence, C.B., Pindilli, E., and Hogan, D.M., 2019, Valuation of the flood attenuation ecosystem service in Difficult Run, VA, USA: Journal of Environmental Management, v. 231, p. 1056-1064, https://doi.org/10.1016/j.jenvman.2018.10.023.","productDescription":"9 p.","startPage":"1056","endPage":"1064","ipdsId":"IP-093393","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":467940,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2018.10.023","text":"Publisher Index Page"},{"id":361037,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Difficult Run watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.35,\n 38.85\n ],\n [\n -77.1833,\n 38.85\n ],\n [\n -77.1833,\n 39.0167\n ],\n [\n -77.35,\n 39.0167\n ],\n [\n -77.35,\n 38.85\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"231","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lawrence, Collin B. 0000-0001-9224-5774","orcid":"https://orcid.org/0000-0001-9224-5774","contributorId":212089,"corporation":false,"usgs":true,"family":"Lawrence","given":"Collin","email":"","middleInitial":"B.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":756699,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pindilli, Emily 0000-0002-5101-1266 epindilli@usgs.gov","orcid":"https://orcid.org/0000-0002-5101-1266","contributorId":140262,"corporation":false,"usgs":true,"family":"Pindilli","given":"Emily","email":"epindilli@usgs.gov","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":756700,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hogan, Dianna M. 0000-0003-1492-4514 dhogan@usgs.gov","orcid":"https://orcid.org/0000-0003-1492-4514","contributorId":131137,"corporation":false,"usgs":true,"family":"Hogan","given":"Dianna","email":"dhogan@usgs.gov","middleInitial":"M.","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":756701,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70201032,"text":"ofr20181188 - 2019 - U.S. Geological Survey science for the Wyoming Landscape Conservation Initiative—2017 annual report","interactions":[],"lastModifiedDate":"2019-02-01T15:45:16","indexId":"ofr20181188","displayToPublicDate":"2019-02-01T13:20:00","publicationYear":"2019","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":"2018-1188","title":"U.S. Geological Survey science for the Wyoming Landscape Conservation Initiative—2017 annual report","docAbstract":"The Wyoming Landscape Conservation Initiative (WLCI) was established in 2008 to address the scientific and conservation questions associated with land use changes because of energy development and other factors in southwest Wyoming. Over the past decade, partners from U.S. Geological Survey (USGS), State and Federal land management agencies, universities, and the public have collaborated to implement a long-term (defined here as more than 10 years), science-based program that assesses and enhances the quality and quantity of wildlife habitats in this region while facilitating responsible development. The USGS Science Team completes scientific research and develops tools that inform and support WLCI partner planning, decision making, and on-the-ground management actions. In fiscal year 2017, USGS published 18 products (including peer-reviewed journal articles, USGS series publications, and data releases), prepared an additional 7 products for publication, and presented 14 talks or posters at professional scientific meetings in addition to numerous informal presentations to WLCI partners at meetings and workshops. In this report, we summarize the science themes that describe USGS science for the WLCI and highlight work completed in fiscal year 2017 for each science theme. We also provide information on how USGS science is being used by land managers to better achieve habitat conservation objectives.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181188","usgsCitation":"Zeigenfuss, L.C., Aikens, E., Aldridge, C.L., Anderson, P.J., Assal, T.J., Bowen, Z.H., Chalfoun, A.D., Chong, G.W., Eddy-Miller, C.A., Germaine, S.S., Graves, T., Homer, C.G., Huber, C.C., Johnston, A., Kauffman, M.J., Manier, D.J., McShane, R.R., Miller, K.A., Monroe, A.P., Ortega, A., Walters, A.W., and Wyckoff, T.B., 2019, U.S. Geological Survey science for the Wyoming Landscape Conservation Initiative—2017 annual report: U.S. Geological Survey Open-File Report 2018–1188, 57 p., https://doi.org/10.3133/ofr20181188.","productDescription":"ix, 57 p.","onlineOnly":"Y","ipdsId":"IP-099017","costCenters":[{"id":291,"text":"Fort Collins Science 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Fort Collins Science Center
U.S. Geological Survey
2150 Centre Ave., Building C
Fort Collins, CO 80526-8118
Climate change is altering the distribution of some wildlife species while warming temperatures are facilitating the northward expansion of pathogens, potentially increasing disease risk. Melting of Arctic sea ice is causing polar bears (Ursus maritimus) of the Southern Beaufort Sea (SBS) to increasingly spend summer on land, where they may encounter novel pathogens. Here, we tested whether SBS polar bears on shore during summer exhibited greater immune system activity than bears remaining on the sea ice. In addition, we tested whether the type of immune response correlated with body condition, because adaptive responses (slowly-developing defenses against specific pathogens) often require less energy than innate responses (rapid defenses not based on pathogen identity). After accounting for body condition, we found that polar bears on shore exhibited higher total white blood cell counts, neutrophils, and monocytes than bears on the ice, suggesting greater infections. Lymphocytes, eosinophils, basophils and globulins did not differ. C-reactive protein, an indicator of inflammation, also did not differ between habitats. Body condition was associated with variables indicative of both innate and adaptive immunity, suggesting that neither response was uniquely limited by energy resources. Our data indicate that as more polar bears spend longer periods of time on shore, they may experience more infections. We encourage continued health monitoring of this species and studies of the long-term fitness consequences from disease.
","language":"English","publisher":"University of Chicago Press","doi":"10.1086/698996","usgsCitation":"Whiteman, J.P., Harlow, H.J., Durner, G.M., Regehr, E.V., Amstrup, S.C., and Ben-David, M., 2019, Heightened immune system function in polar bears using terrestrial habitats: Physiological and Biochemical Zoology, v. 92, no. 1, p. 1-11, https://doi.org/10.1086/698996.","productDescription":"11 p.","startPage":"1","endPage":"11","ipdsId":"IP-094063","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":366391,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"92","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Whiteman, John P.","contributorId":194427,"corporation":false,"usgs":false,"family":"Whiteman","given":"John","email":"","middleInitial":"P.","affiliations":[{"id":17842,"text":"University of Wyoming, Laramie","active":true,"usgs":false}],"preferred":false,"id":768019,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harlow, Henry J.","contributorId":195844,"corporation":false,"usgs":false,"family":"Harlow","given":"Henry","email":"","middleInitial":"J.","affiliations":[{"id":17842,"text":"University of Wyoming, Laramie","active":true,"usgs":false}],"preferred":false,"id":768020,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":768018,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Regehr, Eric V. 0000-0003-4487-3105","orcid":"https://orcid.org/0000-0003-4487-3105","contributorId":66364,"corporation":false,"usgs":false,"family":"Regehr","given":"Eric","email":"","middleInitial":"V.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":768021,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Amstrup, Steven C.","contributorId":67034,"corporation":false,"usgs":false,"family":"Amstrup","given":"Steven","email":"","middleInitial":"C.","affiliations":[{"id":13182,"text":"Polar Bears International","active":true,"usgs":false}],"preferred":false,"id":768022,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ben-David, Merav","contributorId":190901,"corporation":false,"usgs":false,"family":"Ben-David","given":"Merav","email":"","affiliations":[{"id":17842,"text":"University of Wyoming, Laramie","active":true,"usgs":false}],"preferred":false,"id":768023,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70202090,"text":"70202090 - 2019 - Climate, snow, and soil moisture data set for the Tuolumne and Merced river watersheds, California, USA","interactions":[],"lastModifiedDate":"2019-02-11T10:46:44","indexId":"70202090","displayToPublicDate":"2019-02-01T10:46:39","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1426,"text":"Earth System Science Data","active":true,"publicationSubtype":{"id":10}},"title":"Climate, snow, and soil moisture data set for the Tuolumne and Merced river watersheds, California, USA","docAbstract":"We present hourly climate data to force land surface process models and assessments over the Merced and Tuolumne watersheds in the Sierra Nevada, California, for the water year 2010–2014 period. Climate data (38 stations) include temperature and humidity (23), precipitation (13), solar radiation (8), and wind speed and direction (8), spanning an elevation range of 333 to 2987 m. Each data set contains raw data as obtained from the source (Level 0), data that are serially continuous with noise and nonphysical points removed (Level 1), and, where possible, data that are gap filled using linear interpolation or regression with a nearby station record (Level 2). All stations chosen for this data set were known or documented to be regularly maintained and components checked and calibrated during the period. Additional time-series data included are available snow water equivalent records from automated stations (8) and manual snow courses (22), as well as distributed snow depth and co-located soil moisture measurements (2–6) from four locations spanning the rain–snow transition zone in the center of the domain. Spatial data layers pertinent to snowpack modeling in this data set are basin polygons and 100 m resolution rasters of elevation, vegetation type, forest canopy cover, tree height, transmissivity, and extinction coefficient. All data are available from online data repositories (https://doi.org/10.6071/M3FH3D).
","language":"English","publisher":"Copernicus Publications","doi":"10.5194/essd-11-101-2019","usgsCitation":"Roche, J.W., Rice, R., Meng, X., Cayan, D.R., Dettinger, M.D., Alden, D., Patel, S.C., Mason, M.A., Conklin, M.H., and Bales, R.C., 2019, Climate, snow, and soil moisture data set for the Tuolumne and Merced river watersheds, California, USA: Earth System Science Data, v. 11, p. 101-110, https://doi.org/10.5194/essd-11-101-2019.","productDescription":"10 p.","startPage":"101","endPage":"110","ipdsId":"IP-103542","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":467945,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/essd-11-101-2019","text":"Publisher Index Page"},{"id":361121,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Tuolumne and Merced river watersheds","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.5,\n 37.5\n ],\n [\n -119,\n 37.5\n ],\n [\n -119,\n 38.25\n ],\n [\n -120.5,\n 38.2546649284538942\n ],\n [\n -120.5,\n 37.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Roche, James W.","contributorId":178800,"corporation":false,"usgs":false,"family":"Roche","given":"James","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":756832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rice, Robert","contributorId":149915,"corporation":false,"usgs":false,"family":"Rice","given":"Robert","affiliations":[],"preferred":false,"id":756833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meng, Xiande","contributorId":213043,"corporation":false,"usgs":false,"family":"Meng","given":"Xiande","email":"","affiliations":[{"id":38695,"text":"University of California Merced","active":true,"usgs":false}],"preferred":false,"id":756834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cayan, Daniel R. 0000-0002-2719-6811 drcayan@usgs.gov","orcid":"https://orcid.org/0000-0002-2719-6811","contributorId":1494,"corporation":false,"usgs":true,"family":"Cayan","given":"Daniel","email":"drcayan@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":756835,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":149896,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael","email":"mddettin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":756831,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Alden, Douglas","contributorId":213045,"corporation":false,"usgs":false,"family":"Alden","given":"Douglas","email":"","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":756836,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Patel, Sarina C.","contributorId":213046,"corporation":false,"usgs":false,"family":"Patel","given":"Sarina","email":"","middleInitial":"C.","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":756837,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mason, Megan A.","contributorId":213047,"corporation":false,"usgs":false,"family":"Mason","given":"Megan","email":"","middleInitial":"A.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":756838,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Conklin, Martha H.","contributorId":189395,"corporation":false,"usgs":false,"family":"Conklin","given":"Martha","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":756839,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bales, Roger C.","contributorId":189659,"corporation":false,"usgs":false,"family":"Bales","given":"Roger","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":756840,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70201746,"text":"70201746 - 2019 - Brood size affects future reproduction in a long-lived bird with precocial young","interactions":[],"lastModifiedDate":"2019-03-27T10:46:28","indexId":"70201746","displayToPublicDate":"2019-02-01T10:45:52","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":740,"text":"American Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Brood size affects future reproduction in a long-lived bird with precocial young","docAbstract":"Estimation of trade-offs between current reproduction and future survival and fecundity of long-lived vertebrates is essential to understanding factors that shape optimal reproductive investment. Black brant geese (Branta bernicla nigricans) fledge more goslings, on average, when their broods are experimentally enlarged to be greater than the most common clutch size of four eggs. Thus, we hypothesized that the lesser frequency of brant clutches exceeding four eggs results, at least partially, from a future reduction in survival, breeding probability, or clutch size for females tending larger broods. We used an eight-year mark-recapture dataset (Barker robust design) with five years of clutch and brood manipulations to estimate long-term consequences of reproductive decisions in brant. We did not find evidence of a trade-off between reproductive effort and true survival or future initiation date and clutch size. Rather, future breeding probability was maximized (0.92 ± 0.03 [se]) for manipulated females tending broods of four goslings and lower for females tending smaller (one gosling; 0.63 ± 0.09 [se]) or larger broods (seven goslings; 0.52 ± 0.15 [se]). Our results suggest that demographic trade-offs for female brant tending large broods may reduce the fitness value of clutches larger than four and, therefore, contribute to the paucity of larger clutches. The lack of a trade-off between reproductive effort and survival provides evidence that survival, to which fitness is most sensitive in long-lived animals, is buffered against temporal variation in brant.","language":"English","publisher":"University of Chicago Press","doi":"10.1086/701783","usgsCitation":"Alan Leach, James Sedinger, Riecke, T., Van Dellen, A., Ward, D.H., and Sean Boyd, 2019, Brood size affects future reproduction in a long-lived bird with precocial young: American Naturalist, v. 193, no. 3, p. 458-471, https://doi.org/10.1086/701783.","productDescription":"14 p.","startPage":"458","endPage":"471","ipdsId":"IP-066700","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":362384,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"193","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Alan Leach","contributorId":211896,"corporation":false,"usgs":false,"family":"Alan Leach","affiliations":[{"id":36666,"text":"Department of Natural Resources and Environmental Science, University of Nevada-Reno","active":true,"usgs":false}],"preferred":false,"id":755158,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"James Sedinger","contributorId":203592,"corporation":false,"usgs":false,"family":"James Sedinger","affiliations":[{"id":36666,"text":"Department of Natural Resources and Environmental Science, University of Nevada-Reno","active":true,"usgs":false}],"preferred":false,"id":755159,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Riecke, Thomas","contributorId":211897,"corporation":false,"usgs":false,"family":"Riecke","given":"Thomas","email":"","affiliations":[{"id":36666,"text":"Department of Natural Resources and Environmental Science, University of Nevada-Reno","active":true,"usgs":false}],"preferred":false,"id":755160,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Dellen, Amanda","contributorId":211898,"corporation":false,"usgs":false,"family":"Van Dellen","given":"Amanda","email":"","affiliations":[{"id":36666,"text":"Department of Natural Resources and Environmental Science, University of Nevada-Reno","active":true,"usgs":false}],"preferred":false,"id":755161,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ward, David H. 0000-0002-5242-2526 dward@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2526","contributorId":3247,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dward@usgs.gov","middleInitial":"H.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":755157,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sean Boyd","contributorId":203594,"corporation":false,"usgs":false,"family":"Sean Boyd","affiliations":[{"id":36668,"text":"Science and Technology Branch, Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":755162,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70204530,"text":"70204530 - 2019 - Flow-ecology relationships are spatially structured and differ among flow regimes","interactions":[],"lastModifiedDate":"2019-08-01T08:37:26","indexId":"70204530","displayToPublicDate":"2019-02-01T08:36:26","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Flow-ecology relationships are spatially structured and differ among flow regimes","docAbstract":"In streams, hydrology is a predominant driver of ecological structure and function. Providing adequate flows to support aquatic life, or environmental flows, is therefore a top management priority in stream systems.\n\nFlow regime classification is a widely accepted approach for establishing environmental flow guidelines. However, it is surprisingly difficult to quantify relationships between hydrology and ecology (flow–ecology relationships) while describing how these relationships vary across classified flow regimes. Developing such relationships is complicated by several sources of spatial bias, such as autocorrelation due to spatial design, flow regime classification and other environmental or ecological sources of spatial bias.\n\nWe used mixed moving‐average spatial stream network models to develop flow–ecology relationships across classified flow regimes and to assess spatial patterns of these relationships. We compared relationships between fish traits and life‐history strategies with hydrologic metrics across flow regimes and assessed whether spatial autocorrelation influenced these relationships.\n\nTrait–hydrology relationships varied between flow regimes and across all streams combined. Some relationships between traits and hydrologic metrics fit predictions based on life‐history theory, while others exhibited unexpected relationships with hydrology. Spatial factors described a large proportion of variability in fish traits and different patterns of spatial autocorrelation were observed in different flow regimes.\n\nSynthesis and applications. Further work is needed to understand why flow–ecology relationships vary across classified flow regimes and why these relationships may not fit predictions based on life‐history theories. Managers determining environmental flow standards need to be aware that different hydrologic metrics are often important drivers of fish trait diversity in different flow regimes. Flow–ecology relationships may therefore be confounded by spatial structure inherent in flow regime classification and much existing biological data. Complex patterns of spatial bias should be considered when managing stream systems within an environmental flows framework.","language":"English","publisher":"Wiley","doi":"10.1111/1365-2664.13297","usgsCitation":"Magoulick, D.D., 2019, Flow-ecology relationships are spatially structured and differ among flow regimes: Journal of Applied Ecology, v. 56, no. 2, p. 398-412, https://doi.org/10.1111/1365-2664.13297.","productDescription":"15 p.","startPage":"398","endPage":"412","ipdsId":"IP-084577","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":467947,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.13297","text":"Publisher Index Page"},{"id":366059,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":767415,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70204644,"text":"70204644 - 2019 - A strategy for defining the reference for land health and degradation assessments","interactions":[],"lastModifiedDate":"2019-08-09T11:01:12","indexId":"70204644","displayToPublicDate":"2019-02-01T08:14:22","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"A strategy for defining the reference for land health and degradation assessments","docAbstract":"Much of the confusion about the definition of reference conditions for land health and degradation assessments is due to differences in policy and management objectives. Selection of a historic reference where it is not necessary, such as in the definition of future land degradation neutrality, can add significant cost and uncertainty to land management projects that require some knowledge of the current status of the land relative to its potential. This paper (1) provides a review of conditions under which historic reference information is and is not required to meet management and policy objectives, (2) summarizes current approaches to defining the reference for land health and degradation assessments, and (3) presents a protocol, “Describing Indicators of Rangeland Health” (DIRH) for collecting and organizing data that can be used to define a historic reference. This protocol builds on the framework and indicators presented in the “Interpreting Indicators of Rangeland Health” (IIRH). IIRH uses a combination of scientific and local knowledge to generate soil- and climate-specific assessments of three attributes of land health. It is used in a number of countries. In the United States, data are aggregated over 30,000 locations to provide national assessments.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2018.06.065","usgsCitation":"Herrick, J.E., Shaver, P., Pyke, D.A., Pellant, M., Toledo, D., and Lepak, N., 2019, A strategy for defining the reference for land health and degradation assessments: Ecological Indicators, v. 97, p. 225-230, https://doi.org/10.1016/j.ecolind.2018.06.065.","productDescription":"6 p.","startPage":"225","endPage":"230","ipdsId":"IP-098450","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":366360,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"97","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Herrick, Jeffrey E.","contributorId":26054,"corporation":false,"usgs":false,"family":"Herrick","given":"Jeffrey","email":"","middleInitial":"E.","affiliations":[{"id":12627,"text":"USDA-ARS Jornada Experimental Range, New Mexico State University, Las Cruces, NM 88003-8003, USA","active":true,"usgs":false}],"preferred":false,"id":767894,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shaver, Patrick","contributorId":217950,"corporation":false,"usgs":false,"family":"Shaver","given":"Patrick","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":767895,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pyke, David A. 0000-0002-4578-8335 david_a_pyke@usgs.gov","orcid":"https://orcid.org/0000-0002-4578-8335","contributorId":3118,"corporation":false,"usgs":true,"family":"Pyke","given":"David","email":"david_a_pyke@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":767896,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pellant, Mike","contributorId":178257,"corporation":false,"usgs":false,"family":"Pellant","given":"Mike","email":"","affiliations":[],"preferred":false,"id":767897,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Toledo, David","contributorId":195936,"corporation":false,"usgs":false,"family":"Toledo","given":"David","email":"","affiliations":[],"preferred":false,"id":767898,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lepak, Nika","contributorId":217951,"corporation":false,"usgs":false,"family":"Lepak","given":"Nika","email":"","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":767899,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70202727,"text":"70202727 - 2019 - Hierarchical multi-population viability analysis","interactions":[],"lastModifiedDate":"2019-03-25T09:23:33","indexId":"70202727","displayToPublicDate":"2019-01-31T16:26:12","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Hierarchical multi-population viability analysis","docAbstract":"Population viability analysis (PVA) uses concepts from theoretical ecology to provide a powerful tool for quantitative estimates of population dynamics and extinction risks. However, conventional statistical PVA requires long-term data from every population of interest, whereas many species of concern exist in multiple isolated populations that are only monitored occasionally. We present a hierarchical multi-population viability analysis model that increases inference power from sparse data by sharing information among populations to assess extinction risks while accounting for incomplete detection and sampling biases with explicit observation and sampling sub-models. We present a case study in which we customized this model for historical population monitoring data (1985–2015) from federally threatened Lahontan cutthroat trout populations in the Great Basin, USA. Data were counts of fish captured during backpack electrofishing surveys from locations associated with 155 isolated populations. Some surveys (25%) included multi-pass removal sampling, which provided valuable information about capture efficiency. GIS and remote sensing were used to estimate August stream temperatures, peak flows, and riparian vegetation condition in each population each year. Field data were used to derive an annual index of nonnative trout densities. Results indicated that population growth rates were higher in colder streams and that nonnative trout reduced carrying capacities of native trout. Extinction risks increased with more environmental stochasticity and were also related to population extent, water temperatures, and nonnative densities. We developed a graphical user interface to interact with the fitted model results and to simulate future habitat scenarios and management actions to assess their influence on extinction risks in each population. Hierarchical\nmulti-population viability analysis bridges the gap between site-level field observations and population-level processes, making effective use of existing datasets to support management decisions with\nrobust estimates of population dynamics, extinction risks, and uncertainties.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.2538","usgsCitation":"Leasure, D.R., Wenger, S.J., Chelgren, N., Neville, H.M., Dauwalter, D.C., Bjork, R., Fesenmyer, K.A., Dunham, J.B., Peacock, M.M., Luce, C.H., Lute, A.C., and Isaak, D.J., 2019, Hierarchical multi-population viability analysis: Ecology, v. 100, no. 1, p. 1-18, https://doi.org/10.1002/ecy.2538.","productDescription":"Article e02538: 18 p.","startPage":"1","endPage":"18","ipdsId":"IP-098568","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":467948,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.2538","text":"Publisher Index Page"},{"id":362254,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"100","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Leasure, Douglas R.","contributorId":145643,"corporation":false,"usgs":false,"family":"Leasure","given":"Douglas","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":759674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wenger, Seth J.","contributorId":64786,"corporation":false,"usgs":true,"family":"Wenger","given":"Seth","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":759675,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chelgren, Nathan 0000-0003-0944-9165 nchelgren@usgs.gov","orcid":"https://orcid.org/0000-0003-0944-9165","contributorId":3134,"corporation":false,"usgs":true,"family":"Chelgren","given":"Nathan","email":"nchelgren@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":759676,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Neville, Helen M.","contributorId":214338,"corporation":false,"usgs":false,"family":"Neville","given":"Helen","email":"","middleInitial":"M.","affiliations":[{"id":37131,"text":"Trout Unlimited","active":true,"usgs":false}],"preferred":false,"id":759677,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dauwalter, Daniel C.","contributorId":214339,"corporation":false,"usgs":false,"family":"Dauwalter","given":"Daniel","email":"","middleInitial":"C.","affiliations":[{"id":37131,"text":"Trout Unlimited","active":true,"usgs":false}],"preferred":false,"id":759678,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bjork, Robin","contributorId":214340,"corporation":false,"usgs":false,"family":"Bjork","given":"Robin","email":"","affiliations":[{"id":37131,"text":"Trout Unlimited","active":true,"usgs":false}],"preferred":false,"id":759679,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fesenmyer, Kurt A.","contributorId":214341,"corporation":false,"usgs":false,"family":"Fesenmyer","given":"Kurt","email":"","middleInitial":"A.","affiliations":[{"id":37131,"text":"Trout Unlimited","active":true,"usgs":false}],"preferred":false,"id":759680,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":147808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","email":"jdunham@usgs.gov","middleInitial":"B.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":759681,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Peacock, Mary M.","contributorId":167605,"corporation":false,"usgs":false,"family":"Peacock","given":"Mary","email":"","middleInitial":"M.","affiliations":[{"id":24774,"text":"Department of Natural Resources, College of Agriculture and Life","active":true,"usgs":false}],"preferred":false,"id":759682,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Luce, Charlie H.","contributorId":173471,"corporation":false,"usgs":false,"family":"Luce","given":"Charlie","email":"","middleInitial":"H.","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":759683,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lute, Abby C.","contributorId":214342,"corporation":false,"usgs":false,"family":"Lute","given":"Abby","email":"","middleInitial":"C.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":759684,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Isaak, Daniel J.","contributorId":177835,"corporation":false,"usgs":false,"family":"Isaak","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":759685,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70201823,"text":"70201823 - 2019 - Delineation of tile-drain networks using thermal and multispectral imagery—Implications for water quantity and quality differences from paired edge-of-field sites","interactions":[],"lastModifiedDate":"2019-01-31T11:43:55","indexId":"70201823","displayToPublicDate":"2019-01-31T11:43:52","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2456,"text":"Journal of Soil and Water Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Delineation of tile-drain networks using thermal and multispectral imagery—Implications for water quantity and quality differences from paired edge-of-field sites","docAbstract":"As part of the Great Lakes Restoration Initiative, paired edge-of-field sites were established in high priority subwatersheds to assess the effectiveness of agricultural management practices. One pairing was in Black Creek, a tributary to the Maumee River and Lake Erie. These fields were paired because of similarity in soils, topography, and agricultural management. Following two years of baseline data collection from these fields, consistent differences in water quantity and quality were observed for tile networks draining the fields, despite these fields being adjacent and managed together. Consequently, it was hypothesized that differences in subsurface water movement, specifically tile-drain density and connectivity, were the source of the observed differences. Our objective was to map the tile-drain network using remote sensing methodology in order to improve the understanding of nutrient and water transport as well as management on these fields. A combination of multispectral and thermal imagery, collected in spring of 2017, was incorporated to delineate the tile-drain network within each field. This imagery led to locating a cracked tile, which provided a direct path for overland flow to enter the tile-drain system and suggested that a tile-drain segment under the road connected the two fields. A ground-penetrating radar survey verified multiple tile locations, including the tile segment under the road. The distribution of these tiles helps explain the difference in water quantity and quality in the two fields.
","language":"English","publisher":"Soil and Water Conservation Society","doi":"10.2489/jswc.74.1.1","usgsCitation":"Williamson, T.N., Dobrowolski, E.G., Meyer, S.M., Frey, J.W., and Allred, B.J., 2019, Delineation of tile-drain networks using thermal and multispectral imagery—Implications for water quantity and quality differences from paired edge-of-field sites: Journal of Soil and Water Conservation, v. 74, no. 1, p. 1-11, https://doi.org/10.2489/jswc.74.1.1.","productDescription":"11 p.","startPage":"1","endPage":"11","ipdsId":"IP-094533","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":437592,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93R270D","text":"USGS data release","linkHelpText":"Low-altitude visible, multispectral, and thermal-infrared imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Wisconsin Bioreactor"},{"id":437591,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DNURMT","text":"USGS data release","linkHelpText":"Low-altitude visible, multispectral, and thermal-infrared imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Wisconsin Surface Water 4 and 5"},{"id":437590,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9N8ELYZ","text":"USGS data release","linkHelpText":"Low-altitude visible, multispectral, and thermal-infrared imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Wisconsin Surface Water 3"},{"id":437589,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EXXX2O","text":"USGS data release","linkHelpText":"Low-altitude visible, multispectral, and thermal-infrared imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Michigan Flume 2"},{"id":437588,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JC4SP6","text":"USGS data release","linkHelpText":"Low-altitude visible and multispectral imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Ohio Surface Water 1"},{"id":437587,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QRDJFS","text":"USGS data release","linkHelpText":"Low-altitude visible imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Indiana Surface Water 1 and 2"},{"id":360864,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Williamson, Tanja N. 0000-0002-7639-8495 tnwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-7639-8495","contributorId":198329,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja","email":"tnwillia@usgs.gov","middleInitial":"N.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755489,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dobrowolski, Edward G. 0000-0001-9840-4609 edobrowo@usgs.gov","orcid":"https://orcid.org/0000-0001-9840-4609","contributorId":5555,"corporation":false,"usgs":true,"family":"Dobrowolski","given":"Edward","email":"edobrowo@usgs.gov","middleInitial":"G.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755492,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meyer, Shawn M. 0000-0001-8427-7426","orcid":"https://orcid.org/0000-0001-8427-7426","contributorId":212024,"corporation":false,"usgs":true,"family":"Meyer","given":"Shawn","email":"","middleInitial":"M.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755493,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frey, Jeffrey W. 0000-0002-3453-5009 jwfrey@usgs.gov","orcid":"https://orcid.org/0000-0002-3453-5009","contributorId":487,"corporation":false,"usgs":true,"family":"Frey","given":"Jeffrey","email":"jwfrey@usgs.gov","middleInitial":"W.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755490,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allred, Barry J.","contributorId":212023,"corporation":false,"usgs":false,"family":"Allred","given":"Barry","email":"","middleInitial":"J.","affiliations":[{"id":38388,"text":"USDA, Agricultural Research Service","active":true,"usgs":false}],"preferred":false,"id":755491,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70201824,"text":"70201824 - 2019 - Sensitivity of streamflow simulation in the Delaware River Basin to forecasted land‐cover change for 2030 and 2060","interactions":[],"lastModifiedDate":"2019-01-31T11:41:56","indexId":"70201824","displayToPublicDate":"2019-01-31T11:41:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Sensitivity of streamflow simulation in the Delaware River Basin to forecasted land‐cover change for 2030 and 2060","docAbstract":"In order to simulate the potential effect of forecasted land‐cover change on streamflow and water availability, there has to be confidence that the hydrologic model used is sensitive to small changes in land cover (<10%) and that this land‐cover change exceeds the inherent uncertainty in forecasted conditions. To investigate this, a 26‐year streamflow record was simulated for 33 basins (54–928 km2) in the Delaware River Basin using three dates of land cover: the 2011 National Land‐Cover Dataset (Homer, Fry, & Barnes, 2012), 2030 land‐cover conditions representing median values from 101 equally‐likely forecasts, and 2060 land‐cover conditions corresponding to the same iterations used to represent 2030. Streamflow was simulated using a process‐based hydrologic model that includes both pervious and impervious methods as parameterized by three land‐cover‐based hydrologic response units (HRUs)—forested, agricultural, and developed land. Small, but significant differences in streamflow magnitude, variability, and seasonality were seen among the three time periods—2011, 2030, and 2060. Temporal differences were discernible from the range of conditions simulated with 101 equally likely forecasts for 2030. Development was co‐located with the most frequent landscape components, as characterized by topographic wetness index, resulting in a change in hydrology for each HRU, highlighting that knowing the location of disturbance is key to understanding potential streamflow changes. These results show that streamflow simulation using regional calibration that incorporates land‐cover‐based HRUs can be sensitive to relatively small changes in land‐cover and that temporal trends resulting from land‐cover change can be isolated in order to evaluate other changes that might affect water resources.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13315","usgsCitation":"Williamson, T.N., and Claggett, P.R., 2019, Sensitivity of streamflow simulation in the Delaware River Basin to forecasted land‐cover change for 2030 and 2060: Hydrological Processes, v. 33, no. 1, p. 115-129, https://doi.org/10.1002/hyp.13315.","productDescription":"15 p.","startPage":"115","endPage":"129","ipdsId":"IP-084563","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":467955,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.13315","text":"Publisher Index Page"},{"id":360863,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Delaware River Basin ","volume":"33","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Williamson, Tanja N. 0000-0002-7639-8495 tnwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-7639-8495","contributorId":198329,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja","email":"tnwillia@usgs.gov","middleInitial":"N.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Claggett, Peter R. 0000-0002-5335-2857 pclaggett@usgs.gov","orcid":"https://orcid.org/0000-0002-5335-2857","contributorId":176287,"corporation":false,"usgs":true,"family":"Claggett","given":"Peter","email":"pclaggett@usgs.gov","middleInitial":"R.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755495,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70201855,"text":"70201855 - 2019 - Whooping crane use of riverine stopover sites","interactions":[],"lastModifiedDate":"2019-01-31T11:08:14","indexId":"70201855","displayToPublicDate":"2019-01-31T11:08:10","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Whooping crane use of riverine stopover sites","docAbstract":"Migratory birds like endangered whooping cranes (Grus americana) require suitable nocturnal roost sites during twice annual migrations. Whooping cranes primarily roost in shallow surface water wetlands, ponds, and rivers. All these features have been greatly impacted by human activities, which present threats to the continued recovery of the species. A portion of one such river, the central Platte River, has been identified as critical habitat for the survival of the endangered whooping crane. Management intervention is now underway to rehabilitate habitat form and function on the central Platte River to increase use and thereby contribute to the survival of whooping cranes. The goal of our analyses was to develop habitat selection models that could be used to direct riverine habitat management activities (i.e., channel widening, tree removal, flow augmentation, etc.) along the central Platte River and throughout the species’ range. As such, we focused our analyses on two robust sets of whooping crane observations and habitat metrics the Platte River Recovery Implementation Program (Program or PRRIP) and other such organizations could influence. This included channel characteristics such as total channel width, the width of channel unobstructed by dense vegetation, and distance of forest from the edge of the channel and flow-related metrics like wetted width and unit discharge (flow volume per linear meter of wetted channel width) that could be influenced by flow augmentation or reductions during migration. We used 17 years of systematic monitoring data in a discrete-choice framework to evaluate the influence these various metrics have on the relative probability of whooping crane use and found the width of channel unobstructed by dense vegetation and distance to the nearest forest were the best predictors of whooping crane use. Secondly, we used telemetry data obtained from a sample of 38 birds of all ages over the course of seven years, 2010–2016, to evaluate whooping crane use of riverine habitat within the North-central Great Plains, USA. For this second analysis, we focused on the two metrics found to be important predictors of whooping crane use along the central Platte River, unobstructed channel width and distance to nearest forest or wooded area. Our findings indicate resource managers, such as the Program, have the potential to influence whooping crane use of the central Platte River through removal of in-channel vegetation to increase the unobstructed width of narrow channels and through removal of trees along the bank line to increase unforested corridor widths. Results of both analyses also indicated that increases in relative probability of use by whooping cranes did not appreciably increase with unobstructed views ≥200 m wide and unforested corridor widths that were ≥330 m. Therefore, managing riverine sites for channels widths >200 m and removing trees beyond 165 m from the channel’s edge would increase costs associated with implementing management actions such as channel and bank-line disking, removing trees, augmenting flow, etc. without necessarily realizing an additional appreciable increase in use by migrating whooping cranes.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0209612","usgsCitation":"Baasch, D.M., Farrell, P.D., Howlin, S., Pearse, A.T., Farnsworth, J.M., and Smith, C.B., 2019, Whooping crane use of riverine stopover sites: PLoS ONE, v. 14, no. 1, p. 1-20, https://doi.org/10.1371/journal.pone.0209612.","productDescription":"e0209612; 20 p.","startPage":"1","endPage":"20","ipdsId":"IP-097703","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467956,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0209612","text":"Publisher Index Page"},{"id":360861,"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 \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.13916015625,\n 33.486435450999885\n ],\n [\n -95.97656249999999,\n 33.486435450999885\n ],\n [\n -95.97656249999999,\n 48.28319289548349\n ],\n [\n -105.13916015625,\n 48.28319289548349\n ],\n [\n -105.13916015625,\n 33.486435450999885\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Baasch, David M.","contributorId":147145,"corporation":false,"usgs":false,"family":"Baasch","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":16795,"text":"Headwaters Corp, Kearney, NE","active":true,"usgs":false}],"preferred":false,"id":755529,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farrell, Patrick D.","contributorId":212085,"corporation":false,"usgs":false,"family":"Farrell","given":"Patrick","email":"","middleInitial":"D.","affiliations":[{"id":36320,"text":"PRRIP","active":true,"usgs":false}],"preferred":false,"id":755530,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howlin, Shay","contributorId":206848,"corporation":false,"usgs":false,"family":"Howlin","given":"Shay","email":"","affiliations":[{"id":37415,"text":"Western EcoSystems Technology, Cheyenne, WY","active":true,"usgs":false}],"preferred":false,"id":755531,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearse, Aaron T. 0000-0002-6137-1556 apearse@usgs.gov","orcid":"https://orcid.org/0000-0002-6137-1556","contributorId":1772,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron","email":"apearse@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":755528,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Farnsworth, Jason M.","contributorId":212086,"corporation":false,"usgs":false,"family":"Farnsworth","given":"Jason","email":"","middleInitial":"M.","affiliations":[{"id":36320,"text":"PRRIP","active":true,"usgs":false}],"preferred":false,"id":755532,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Chadwin B.","contributorId":212087,"corporation":false,"usgs":false,"family":"Smith","given":"Chadwin","email":"","middleInitial":"B.","affiliations":[{"id":36320,"text":"PRRIP","active":true,"usgs":false}],"preferred":false,"id":755533,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70201807,"text":"70201807 - 2019 - Morphology and genetics of Lythrum salicaria from latitudinal gradients of the Northern Hemisphere grown in cold and hot common gardens","interactions":[],"lastModifiedDate":"2019-01-30T16:04:07","indexId":"70201807","displayToPublicDate":"2019-01-30T16:04:03","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Morphology and genetics of Lythrum salicaria from latitudinal gradients of the Northern Hemisphere grown in cold and hot common gardens","title":"Morphology and genetics of Lythrum salicaria from latitudinal gradients of the Northern Hemisphere grown in cold and hot common gardens","docAbstract":"The aim of this project was to compare the phenotypic responses of global populations of Lythrum salicaria in cold/dry and hot/humid environments to determine if phenotypic plasticity varied between the native and invasive ranges, and secondarily if this variation was linked to genetic diversity. Common garden studies were conducted in Třeboň, Czech Republic, and Lafayette, Louisiana, USA (cold/dry vs. hot/humid garden, respectively), using populations from latitudinal gradients in Eurasia and North America. Lythrum salicaria seeds collected from the same maternal plants across these latitudinal gradients were germinated and grown in Třeboň and Lafayette. Tissue masses (above-, below-ground, inflorescence and total) of these individuals were assessed at the end of each growing season (2006–2008). Worldwide field measurements of L. salicaria height were made by volunteers from 2004–2016. Biomass and height data were analyzed using the General Linear Model framework and multivariate techniques. Molecular markers (amplified fragment length polymorphisms) of individuals used in the common garden study were analyzed using traditional genetic diversity metrics and Bayesian clustering algorithms in STRUCTURE. Reaction norms were developed from differences in maternal plant responses in Třeboň versus Lafayette. In the common garden studies, stem/leaf, root and total biomass generally were highest for individuals grown from seeds collected in the southern part of the range in the cold garden, particularly by the third year of the study. In contrast, inflorescence biomass in the cold garden was higher by the third year in individuals from mid-latitude populations. As measured by volunteers, plants were taller in Eurasia than in North America moving from north to south with the pattern switching southward of 40°N latitude. Genetic diversity was similar between native and non-native invasive populations regardless of geographical origin of the seed and was not significantly different in the GLM Select model (p > 0.05). Reaction norm slopes showed that Eurasia had larger values than North America for reaction norms for above-ground and total biomass. Plants from the seeds of mother plants from Turkey had wide variation in total biomass when grown in Třeboň versus Lafayette; this variation in response within certain populations may have contributed to the lack of population-level differences in plasticity. These results indicate no loss of genetic diversity for L. salicaria during its North American invasion, nor reduction in plastic tissue allocation responses to a varying environment, which may help explain some of its invasive qualities and which could be of adaptive value under changing future environments.
","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0208300","usgsCitation":"Middleton, B.A., Travis, S.E., Kubatova, B., Johnson, D., and Edwards, K.R., 2019, Morphology and genetics of Lythrum salicaria from latitudinal gradients of the Northern Hemisphere grown in cold and hot common gardens: PLoS ONE, v. 14, no. 1, p. 1-24, https://doi.org/10.1371/journal.pone.0208300.","productDescription":"e0208300; 24 p.","startPage":"1","endPage":"24","ipdsId":"IP-060249","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467958,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0208300","text":"Publisher Index Page"},{"id":437595,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F74M92P8","text":"USGS data release","linkHelpText":"Morphology and genetics of Lythrum salicaria from latitudinal gradients of the Northern Hemisphere grown in cold and hot common gardens"},{"id":360844,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Middleton, Beth A. 0000-0002-1220-2326 middletonb@usgs.gov","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":2029,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","email":"middletonb@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":755432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Travis, Steven E.","contributorId":211992,"corporation":false,"usgs":false,"family":"Travis","given":"Steven","email":"","middleInitial":"E.","affiliations":[{"id":38381,"text":"University of New England","active":true,"usgs":false}],"preferred":false,"id":755433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kubatova, Barbora","contributorId":211993,"corporation":false,"usgs":false,"family":"Kubatova","given":"Barbora","email":"","affiliations":[{"id":38382,"text":"University of South Bohemia","active":true,"usgs":false}],"preferred":false,"id":755434,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Darren 0000-0002-0502-6045","orcid":"https://orcid.org/0000-0002-0502-6045","contributorId":203921,"corporation":false,"usgs":true,"family":"Johnson","given":"Darren","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":755436,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Edwards, Keith R.","contributorId":29906,"corporation":false,"usgs":true,"family":"Edwards","given":"Keith","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":755435,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70201781,"text":"70201781 - 2019 - Uncertainty and risk evaluation during the exploration stage of geothermal development: A review","interactions":[],"lastModifiedDate":"2019-01-30T13:59:11","indexId":"70201781","displayToPublicDate":"2019-01-30T13:59:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1828,"text":"Geothermics","active":true,"publicationSubtype":{"id":10}},"title":"Uncertainty and risk evaluation during the exploration stage of geothermal development: A review","docAbstract":"Quantifying and representing uncertainty for geothermal systems is often ignored, in practice, during the exploration phase of a geothermal development project. We propose that this occurs potentially because the task seems so formidable. The primary goal of this paper is to initiate a dialogue within the geothermal community about: which geothermal uncertainties should receive the most attention and which uncertainty analysis methods could provide the greatest benefit for the advancement of the geothermal energy industry. Specifically, in this paper, we review uncertainty quantification techniques that are applicable to geothermal exploration. In general, uncertainty associated with data acquisition/processing (i.e., objective uncertainty) is small compared to the uncertainty in interpretational space (i.e., subjective uncertainty) that lies between data points where extrapolation is required. Therefore, it is important to classify, assess, and quantify uncertainty to help select strategies to reduce uncertainty and to better gauge the impact that separate uncertainties have on the overall likelihood of project success. The discipline of geostatistics provides multiple quantitative methods for producing stochastic models which adhere to measured data and spatial correlation. The petroleum industry has successfully used both geostatistics and decision analysis methods to combine diverse and multiple types of uncertainties. We argue that instead of one single and final interpretation of the geothermal system, numerous interpretations may be more indicative of the possible subsurface scenarios, and these different scenarios can be evaluated using decision analyses and value of information methodologies. Finally, we recommend that the potential power generation of a geothermal reservoir should be grounded in the geologic data and modeling for a specific field and their estimated uncertainties.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geothermics.2018.12.011","usgsCitation":"Witter, J.B., Trainor-Guitton, W.J., and Siler, D.L., 2019, Uncertainty and risk evaluation during the exploration stage of geothermal development: A review: Geothermics, v. 78, p. 233-242, https://doi.org/10.1016/j.geothermics.2018.12.011.","productDescription":"10 p.","startPage":"233","endPage":"242","ipdsId":"IP-102996","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":360824,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Witter, Jeffrey B. 0000-0002-1357-1481","orcid":"https://orcid.org/0000-0002-1357-1481","contributorId":211948,"corporation":false,"usgs":false,"family":"Witter","given":"Jeffrey","email":"","middleInitial":"B.","affiliations":[{"id":38365,"text":"Innovate Geothermal Ltd.","active":true,"usgs":false}],"preferred":false,"id":755363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trainor-Guitton, Whitney J. 0000-0002-5726-3886","orcid":"https://orcid.org/0000-0002-5726-3886","contributorId":211949,"corporation":false,"usgs":false,"family":"Trainor-Guitton","given":"Whitney","email":"","middleInitial":"J.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":755364,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Siler, Drew L. 0000-0001-7540-8244","orcid":"https://orcid.org/0000-0001-7540-8244","contributorId":203341,"corporation":false,"usgs":true,"family":"Siler","given":"Drew","email":"","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":755362,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70228077,"text":"70228077 - 2019 - Partitioning global change: Assessing the relative importance of changes in climate and land cover for changes in avian distribution","interactions":[],"lastModifiedDate":"2022-02-03T14:30:04.950797","indexId":"70228077","displayToPublicDate":"2019-01-30T08:16:29","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Partitioning global change: Assessing the relative importance of changes in climate and land cover for changes in avian distribution","docAbstract":"Understanding the relative impact of climate change and land cover change on changes in avian distribution has implications for the future course of avian distributions and appropriate management strategies. Due to the dynamic nature of climate change, our goal was to investigate the processes that shape species distributions, rather than the current distributional patterns. To this end, we analyzed changes in the distribution of Eastern Wood Pewees (Contopus virens) and Red-eyed Vireos (Vireo olivaceus) from 1997 to 2012 using Breeding Bird Survey data and dynamic correlated-detection occupancy models. We estimated the local colonization and extinction rates of these species in relation to changes in climate (hours of extreme temperature) and changes in land cover (amount of nesting habitat). We fit six nested models to partition the deviance explained by spatial and temporal components of land cover and climate. We isolated the temporal components of environmental variables because this is the essence of global change. For both species, model fit was significantly improved when we modeled vital rates as a function of spatial variation in climate and land cover. Model fit only improved insignificantly when we added temporal variation in climate and land cover to the model. Temporal variation in climate explained more deviance than temporal variation in land cover, although both combined only explained 20% (Eastern Wood Pewee) and 6% (Red-eyed Vireo) of temporal variation in vital rates. Our results showing a significant correlation between initial occupancy and environmental covariates are consistent with biological expectation and previous studies. Our results estimating a weak correlation between vital rates and temporal changes in covariates indicate that we have yet to identify the most relevant components of global change changing the distributions of these species and, more significantly, that spatially significant covariates are not necessarily driving temporal shifts in avian distributions.","language":"English","doi":"10.1002/ece3.4890","usgsCitation":"Clement, M., Nichols, J., Collazo, J.A., Terando, A., Hines, J.E., and Williams, S.G., 2019, Partitioning global change: Assessing the relative importance of changes in climate and land cover for changes in avian distribution: Ecology and Evolution, v. 9, no. 4, p. 1985-2003, https://doi.org/10.1002/ece3.4890.","productDescription":"19 p.","startPage":"1985","endPage":"2003","ipdsId":"IP-097244","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":467961,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.4890","text":"Publisher Index Page"},{"id":395341,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"4","noUsgsAuthors":false,"publicationDate":"2019-01-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Clement, Matthew J. 0000-0003-4231-7949","orcid":"https://orcid.org/0000-0003-4231-7949","contributorId":274483,"corporation":false,"usgs":false,"family":"Clement","given":"Matthew J.","affiliations":[{"id":54519,"text":"U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":833022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nichols, James D. 0000-0002-7631-2890","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":264235,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":833023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collazo, Jaime A. 0000-0002-1816-7744","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":217287,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime","email":"","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":833024,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Terando, Adam 0000-0002-9280-043X","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":205908,"corporation":false,"usgs":true,"family":"Terando","given":"Adam","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":833025,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hines, James E. 0000-0001-5478-7230 jhines@usgs.gov","orcid":"https://orcid.org/0000-0001-5478-7230","contributorId":146530,"corporation":false,"usgs":true,"family":"Hines","given":"James","email":"jhines@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":833026,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Williams, Steven G. 0000-0003-3760-6818","orcid":"https://orcid.org/0000-0003-3760-6818","contributorId":215501,"corporation":false,"usgs":false,"family":"Williams","given":"Steven","email":"","middleInitial":"G.","affiliations":[{"id":39268,"text":"North Carolina State University, NC Cooperative Fish & Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":833027,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}