{"pageNumber":"994","pageRowStart":"24825","pageSize":"25","recordCount":165505,"records":[{"id":70178374,"text":"70178374 - 2017 - Climate-induced glacier and snow loss imperils alpine stream insects","interactions":[],"lastModifiedDate":"2017-06-07T10:41:21","indexId":"70178374","displayToPublicDate":"2016-11-15T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Climate-induced glacier and snow loss imperils alpine stream insects","docAbstract":"<p><span>Climate warming is causing rapid loss of glaciers and snowpack in mountainous regions worldwide. These changes are predicted to negatively impact the habitats of many range-restricted species, particularly endemic, mountaintop species dependent on the unique thermal and hydrologic conditions found only in glacier-fed and snowmelt-driven alpine streams. Though progress has been made, existing understanding of the status, distribution, and ecology of alpine aquatic species, particularly in North America, is lacking, thereby hindering conservation and management programs. Two aquatic insects – the meltwater stonefly </span><i>Lednia tumana</i><span> and the glacier stonefly </span><i>Zapada glacier</i><span> – were recently proposed for listing under the U.S. Endangered Species Act due to climate-change-induced habitat loss. Using a large dataset (272 streams, 482 total sites) with high-resolution climate and habitat information, we describe the distribution, status, and key environmental features that limit </span><i>L. tumana</i><span> and </span><i>Z. glacier</i><span> across the northern Rocky Mountains. </span><i>Lednia tumana</i><span> was detected in 113 streams (175 sites) within Glacier National Park (GNP) and surrounding areas. The probability of </span><i>L. tumana</i><span> occurrence increased with cold stream temperatures and close proximity to glaciers and permanent snowfields. Similarly, densities of </span><i>L. tumana</i><span> declined with increasing distance from stream source. </span><i>Zapada glacier</i><span> was only detected in 10 streams (20 sites), six in GNP and four in mountain ranges up to ~600 km southwest. Our results show that both </span><i>L. tumana</i><span> and </span><i>Z. glacier</i><span> inhabit an extremely narrow distribution, restricted to short sections of cold, alpine streams often below glaciers predicted to disappear over the next two decades. Climate warming-induced glacier and snow loss clearly imperils the persistence of </span><i>L. tumana</i><span> and </span><i>Z. glacier</i><span> throughout their ranges, highlighting the role of mountaintop aquatic invertebrates as sentinels of climate change in mid-latitude regions.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13565","usgsCitation":"Giersch, J., Hotaling, S., Kovach, R., Jones, L.A., and Muhlfeld, C.C., 2017, Climate-induced glacier and snow loss imperils alpine stream insects: Global Change Biology, v. 23, no. 7, p. 2577-2589, https://doi.org/10.1111/gcb.13565.","productDescription":"13 p.","startPage":"2577","endPage":"2589","ipdsId":"IP-079238","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":331024,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-16","publicationStatus":"PW","scienceBaseUri":"582c2ce2e4b0c253be072bf6","contributors":{"authors":[{"text":"Giersch, J. Joseph 0000-0001-7818-3941 jgiersch@usgs.gov","orcid":"https://orcid.org/0000-0001-7818-3941","contributorId":4022,"corporation":false,"usgs":true,"family":"Giersch","given":"J. Joseph","email":"jgiersch@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":653826,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hotaling, Scott 0000-0002-5965-0986","orcid":"https://orcid.org/0000-0002-5965-0986","contributorId":176860,"corporation":false,"usgs":false,"family":"Hotaling","given":"Scott","email":"","affiliations":[],"preferred":false,"id":653827,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kovach, Ryan 0000-0001-5402-2123 rkovach@usgs.gov","orcid":"https://orcid.org/0000-0001-5402-2123","contributorId":145914,"corporation":false,"usgs":true,"family":"Kovach","given":"Ryan","email":"rkovach@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":653828,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Leslie A. 0000-0002-4953-7189 lajones@usgs.gov","orcid":"https://orcid.org/0000-0002-4953-7189","contributorId":4599,"corporation":false,"usgs":true,"family":"Jones","given":"Leslie","email":"lajones@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":653829,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":653830,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70178376,"text":"70178376 - 2017 - Development of the oriental latrine fly, <i>Chrysomya megacephala</i> (Diptera: Calliphoridae), at five constant temperatures","interactions":[],"lastModifiedDate":"2017-03-22T14:58:15","indexId":"70178376","displayToPublicDate":"2016-11-15T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2385,"text":"Journal of Medical Entomology","active":true,"publicationSubtype":{"id":10}},"title":"Development of the oriental latrine fly, <i>Chrysomya megacephala</i> (Diptera: Calliphoridae), at five constant temperatures","docAbstract":"<p><i>Chrysomya megacephala</i><span> (Fabricius) is a forensically important fly that is found throughout the tropics and subtropics. We calculated the accumulated development time and transition points for each life stage from eclosion to adult emergence at five constant temperatures: 15, 20, 25, 30, and 35 °C. For each transition, the 10th, 50th, and 90th percentiles were calculated with a logistic linear model. The mean transition times and % survivorship were determined directly from the raw laboratory data. Development times of </span><i>C. megacephala</i><span> were compared with that of two other closely related species, </span><i>Chrysomya rufifacies</i><span> (Macquart) and </span><i>Phormia regina</i><span> (Meigen). Ambient and larval mass temperatures were collected from field studies conducted from 2001–2004. Field study data indicated that adult fly activity was reduced at lower ambient temperatures, but once a larval mass was established, heat generation occurred. These development times and durations can be used for estimation of a postmortem interval (PMI).</span></p>","language":"English","publisher":"Oxford University Press ","doi":"10.1093/jme/tjw169","usgsCitation":"Gruner, S.V., Slone, D., Capinera, J., and Turco, M.P., 2017, Development of the oriental latrine fly, <i>Chrysomya megacephala</i> (Diptera: Calliphoridae), at five constant temperatures: Journal of Medical Entomology, v. 54, no. 2, p. 290-298, https://doi.org/10.1093/jme/tjw169.","productDescription":"9 p.","startPage":"290","endPage":"298","ipdsId":"IP-059412","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":331020,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-04","publicationStatus":"PW","scienceBaseUri":"582c2ce1e4b0c253be072bf2","contributors":{"authors":[{"text":"Gruner, S. V.","contributorId":176868,"corporation":false,"usgs":false,"family":"Gruner","given":"S.","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":653841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slone, D. H. 0000-0002-9903-9727","orcid":"https://orcid.org/0000-0002-9903-9727","contributorId":33040,"corporation":false,"usgs":true,"family":"Slone","given":"D. H.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":653842,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Capinera, J.L.","contributorId":38780,"corporation":false,"usgs":true,"family":"Capinera","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":653843,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turco, M. P.","contributorId":176867,"corporation":false,"usgs":false,"family":"Turco","given":"M.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":653844,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70185339,"text":"70185339 - 2017 - Fine‐resolution conservation planning with limited climate‐change information","interactions":[],"lastModifiedDate":"2018-03-28T11:10:00","indexId":"70185339","displayToPublicDate":"2016-11-14T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Fine‐resolution conservation planning with limited climate‐change information","docAbstract":"<p><span>Climate‐change induced uncertainties in future spatial patterns of conservation‐related outcomes make it difficult to implement standard conservation‐planning paradigms. A recent study translates Markowitz's risk‐diversification strategy from finance to conservation settings, enabling conservation agents to use this diversification strategy for allocating conservation and restoration investments across space to minimize the risk associated with such uncertainty. However, this method is information intensive and requires a large number of forecasts of ecological outcomes associated with possible climate‐change scenarios for carrying out fine‐resolution conservation planning. We developed a technique for iterative, spatial portfolio analysis that can be used to allocate scarce conservation resources across a desired level of subregions in a planning landscape in the absence of a sufficient number of ecological forecasts. We applied our technique to the Prairie Pothole Region in central North America. A lack of sufficient future climate information prevented attainment of the most efficient risk‐return conservation outcomes in the Prairie Pothole Region. The difference in expected conservation returns between conservation planning with limited climate‐change information and full climate‐change information was as large as 30% for the Prairie Pothole Region even when the most efficient iterative approach was used. However, our iterative approach allowed finer resolution portfolio allocation with limited climate‐change forecasts such that the best possible risk‐return combinations were obtained. With our most efficient iterative approach, the expected loss in conservation outcomes owing to limited climate‐change information could be reduced by 17% relative to other iterative approaches.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/cobi.12793","usgsCitation":"Shah, P., Mallory, M.L., Ando, A.W., and Guntenspergen, G.R., 2017, Fine‐resolution conservation planning with limited climate‐change information: Conservation Biology, v. 31, no. 2, p. 278-289, https://doi.org/10.1111/cobi.12793.","productDescription":"12 p. ","startPage":"278","endPage":"289","ipdsId":"IP-067064","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470207,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/cobi.12793","text":"Publisher Index Page"},{"id":337940,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-14","publicationStatus":"PW","scienceBaseUri":"58d23b91e4b0236b68f828ee","chorus":{"doi":"10.1111/cobi.12793","url":"http://dx.doi.org/10.1111/cobi.12793","publisher":"Wiley-Blackwell","authors":"Shah Payal, Mallory Mindy L., Ando Amy W., Guntenspergen Glenn R.","journalName":"Conservation Biology","publicationDate":"11/14/2016","auditedOn":"12/19/2016","publiclyAccessibleDate":"11/14/2016"},"contributors":{"authors":[{"text":"Shah, Payal","contributorId":189609,"corporation":false,"usgs":false,"family":"Shah","given":"Payal","email":"","affiliations":[],"preferred":false,"id":685378,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mallory, Mindy L.","contributorId":189610,"corporation":false,"usgs":false,"family":"Mallory","given":"Mindy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":685379,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ando, Amy W.","contributorId":189611,"corporation":false,"usgs":false,"family":"Ando","given":"Amy","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":685380,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":685230,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70178378,"text":"70178378 - 2017 - Mercury and drought along the lower Carson River, Nevada: IV. Snowy egret post-fledging dispersal, timing of migration and survival, 2002–2004","interactions":[],"lastModifiedDate":"2017-11-22T17:05:03","indexId":"70178378","displayToPublicDate":"2016-11-14T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1480,"text":"Ecotoxicology and Environmental Safety","active":true,"publicationSubtype":{"id":10}},"title":"Mercury and drought along the lower Carson River, Nevada: IV. Snowy egret post-fledging dispersal, timing of migration and survival, 2002–2004","docAbstract":"<p><span>This telemetry study is an extension of our 1997–2006 research on historical mercury contamination on snowy egrets (</span><i>Egretta thula</i><span>) up to ~ 20 days of age. Findings from initial studies at the mercury-contaminated Carson River colony at Lahontan Reservoir (LR) and a similar-sized reference (REF) colony on the Humboldt River included mercury-related physiological, biochemical, histopathological and reproductive effects up to ~20 days of age; with poor water years (2000–04), i.e., reduced prey availability, exacerbating effects. Herein, we compare timing of dispersal and migration at LR vs. REF, but the primary question now addressed is “whether survival of young mercury-exposed snowy egrets from LR would be further compromised beyond ~20 days of age? ” Based upon telemetry signals until 90–110 days of age (including dead bird counts and survival rate estimates), we conclude that mercury did not further compromise survival. Dead bird counts and survival rate estimates included time in the colony when fed by adults, plus the critical period when young dispersed from the colony to forage independently. The extended drought during this 3-year study was most critical in 2002 when production of ~20&nbsp;d old egrets at LR was only 0.24 young/nest. In 2002, survival rates were low at both colonies and we documented the highest counts of dead egrets for both colonies. We suggest the losses in 2002 beyond 20 days of age were more a function of prey availability influenced by drought than exposure to mercury, especially at LR, because higher mercury concentrations, higher survival rates and fewer dead birds were documented at LR in 2003 when water conditions improved. Furthermore, total mercury (THg) in blood in 2003 was more than double 2002 (geometric mean, 3.39 vs 1.47&nbsp;µg/g wet weight (ww). This higher THg exposure at LR in 2003 was associated with a redistribution of parent and post-dispersal feeding activities upstream (where there was higher mercury from historic mining) related to slightly improved water levels. When comparing the 3-year telemetry findings based upon ~20&nbsp;d old young at LR (blood THg, geo. means 1.47, 3.39 and 1.89&nbsp;µg/g ww), we found no evidence that age at dispersal, Julian date at dispersal, timing of migration, or pre-migration survival (~20 to ~100 days post-hatch) were adversely affected by elevated mercury.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoenv.2016.10.002","usgsCitation":"Henny, C.J., Hill, E.F., Grove, R.A., Chelgren, N., and Haggerty, P.K., 2017, Mercury and drought along the lower Carson River, Nevada: IV. Snowy egret post-fledging dispersal, timing of migration and survival, 2002–2004: Ecotoxicology and Environmental Safety, v. 135, p. 358-367, https://doi.org/10.1016/j.ecoenv.2016.10.002.","productDescription":"10 p.","startPage":"358","endPage":"367","ipdsId":"IP-067269","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":470206,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoenv.2016.10.002","text":"Publisher Index Page"},{"id":331026,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","city":"Carsen City, Elko","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.59716796875,\n              39.16839998800286\n            ],\n            [\n              -119.59716796875,\n              41.071069130806414\n            ],\n            [\n              -115.5706787109375,\n              41.071069130806414\n            ],\n            [\n              -115.5706787109375,\n              39.16839998800286\n            ],\n            [\n              -119.59716796875,\n              39.16839998800286\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"135","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"582c2cdde4b0c253be072bec","contributors":{"authors":[{"text":"Henny, Charles J. 0000-0001-7474-350X hennyc@usgs.gov","orcid":"https://orcid.org/0000-0001-7474-350X","contributorId":3461,"corporation":false,"usgs":true,"family":"Henny","given":"Charles","email":"hennyc@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":653867,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Elwood F.","contributorId":27115,"corporation":false,"usgs":true,"family":"Hill","given":"Elwood","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":653868,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grove, Robert A.","contributorId":52134,"corporation":false,"usgs":true,"family":"Grove","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":653869,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":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":653870,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haggerty, Patricia K. phaggerty@usgs.gov","contributorId":4602,"corporation":false,"usgs":true,"family":"Haggerty","given":"Patricia","email":"phaggerty@usgs.gov","middleInitial":"K.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":653871,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70182240,"text":"70182240 - 2017 - A synthesis of radial growth patterns preceding tree mortality","interactions":[],"lastModifiedDate":"2017-03-22T14:45:42","indexId":"70182240","displayToPublicDate":"2016-11-12T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"A synthesis of radial growth patterns preceding tree mortality","docAbstract":"<p><span>Tree mortality is a key factor influencing forest functions and dynamics, but our understanding of the mechanisms leading to mortality and the associated changes in tree growth rates are still limited. We compiled a new pan-continental tree-ring width database from sites where both dead and living trees were sampled (2970 dead and 4224 living trees from 190 sites, including 36 species), and compared early and recent growth rates between trees that died and those that survived a given mortality event. We observed a decrease in radial growth before death in ca. 84% of the mortality events. The extent and duration of these reductions were highly variable (1–100&nbsp;years in 96% of events) due to the complex interactions among study species and the source(s) of mortality. Strong and long-lasting declines were found for gymnosperms, shade- and drought-tolerant species, and trees that died from competition. Angiosperms and trees that died due to biotic attacks (especially bark-beetles) typically showed relatively small and short-term growth reductions. Our analysis did not highlight any universal trade-off between early growth and tree longevity within a species, although this result may also reflect high variability in sampling design among sites. The intersite and interspecific variability in growth patterns before mortality provides valuable information on the nature of the mortality process, which is consistent with our understanding of the physiological mechanisms leading to mortality. Abrupt changes in growth immediately before death can be associated with generalized hydraulic failure and/or bark-beetle attack, while long-term decrease in growth may be associated with a gradual decline in hydraulic performance coupled with depletion in carbon reserves. Our results imply that growth-based mortality algorithms may be a powerful tool for predicting gymnosperm mortality induced by chronic stress, but not necessarily so for angiosperms and in case of intense drought or bark-beetle outbreaks.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13535","usgsCitation":"Cailleret, M., Jansen, S., Robert, E.M., Desoto, L., Aakala, T., Antos, J.A., Beikircher, B., Bigler, C., Bugmann, H., Caccianiga, M., Cada, V., Camarero, J.J., Cherubini, P., Cochard, H., Coyea, M.R., Cufar, K., Das, A., Davi, H., Delzon, S., Dorman, M., Gea-Izquierdo, G., Gillner, S., Haavik, L.J., Hartmann, H., Heres, A., Hultine, K.R., Janda, P., Kane, J.M., Kharuk, V., Kitzberger, T., Klein, T., Kramer, K., Lens, F., Levanic, T., Calderon, J.C., Lloret, F., Lobo-Do-Vale, R., Lombardi, F., Lopez Rodriguez, R., Makinen, H., Mayr, S., Meszaros, I., Metsaranta, J.M., Minunno, F., Oberhuber, W., Papadopoulos, A., Peltoniemi, M., Petritan, A., Rohner, B., Sanguesa-Barreda, G., Sarris, D., Smith, J.M., Stan, A.B., Sterck, F., Stojanovic, D.B., Suarez, M.L., Svoboda, M., Tognetti, R., Torres-Ruiz, J.M., Trotsiuk, V., Villalba, R., Vodde, F., Westwood, A.R., Wyckoff, P.H., Zafirov, N., and Martínez-Vilalta, J., 2017, A synthesis of radial growth patterns preceding tree mortality: Global Change Biology, v. 23, no. 4, p. 1675-1690, https://doi.org/10.1111/gcb.13535.","productDescription":"16 p.","startPage":"1675","endPage":"1690","ipdsId":"IP-077898","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":461831,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/gcb.13535","text":"External Repository"},{"id":335975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"4","publishingServiceCenter":{"id":1,"text":"Sacramento 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,{"id":70178218,"text":"70178218 - 2017 - Detection limits of quantitative and digital PCR assays and their influence in presence-absence surveys of environmental DNA","interactions":[],"lastModifiedDate":"2017-02-24T10:51:24","indexId":"70178218","displayToPublicDate":"2016-11-07T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2776,"text":"Molecular Ecology Resources","active":true,"publicationSubtype":{"id":10}},"title":"Detection limits of quantitative and digital PCR assays and their influence in presence-absence surveys of environmental DNA","docAbstract":"<p><span>A set of universal guidelines is needed to determine the limit of detection (LOD) in PCR-based analyses of low concentration DNA. In particular, environmental DNA (eDNA) studies require sensitive and reliable methods to detect rare and cryptic species through shed genetic material in environmental samples. Current strategies for assessing detection limits of eDNA are either too stringent or subjective, possibly resulting in biased estimates of species’ presence. Here, a conservative LOD analysis grounded in analytical chemistry is proposed to correct for overestimated DNA concentrations predominantly caused by the concentration plateau, a nonlinear relationship between expected and measured DNA concentrations. We have used statistical criteria to establish formal mathematical models for both quantitative and droplet digital PCR. To assess the method, a new Grass Carp (</span><i>Ctenopharyngodon idella</i><span>) TaqMan assay was developed and tested on both PCR platforms using eDNA in water samples. The LOD adjustment reduced Grass Carp occupancy and detection estimates while increasing uncertainty – indicating that caution needs to be applied to eDNA data without LOD correction. Compared to quantitative PCR, digital PCR had higher occurrence estimates due to increased sensitivity and dilution of inhibitors at low concentrations. Without accurate LOD correction, species occurrence and detection probabilities based on eDNA estimates are prone to a source of bias that cannot be reduced by an increase in sample size or PCR replicates. Other applications also could benefit from a standardized LOD such as GMO food analysis, and forensic and clinical diagnostics.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/1755-0998.12619","usgsCitation":"Hunter, M., Dorazio, R.M., Butterfield, J.S., Meigs-Friend, G., Nico, L., and Ferrante, J.A., 2017, Detection limits of quantitative and digital PCR assays and their influence in presence-absence surveys of environmental DNA: Molecular Ecology Resources, v. 17, no. 2, p. 221-229, https://doi.org/10.1111/1755-0998.12619.","productDescription":"9 p.","startPage":"221","endPage":"229","ipdsId":"IP-074405","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":330858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-20","publicationStatus":"PW","scienceBaseUri":"5821a0dce4b02f1a881de968","chorus":{"doi":"10.1111/1755-0998.12619","url":"http://dx.doi.org/10.1111/1755-0998.12619","publisher":"Wiley-Blackwell","authors":"Hunter Margaret E., Dorazio Robert M., Butterfield John S. 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,{"id":70178045,"text":"70178045 - 2017 - How will predicted land-use change affect waterfowl spring stopover ecology? Inferences from an individual-based model","interactions":[],"lastModifiedDate":"2017-05-15T17:19:32","indexId":"70178045","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2017","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":"How will predicted land-use change affect waterfowl spring stopover ecology? Inferences from an individual-based model","docAbstract":"<ol id=\"jpe12788-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li>Habitat loss, habitat fragmentation, overexploitation and climate change pose familiar and new challenges to conserving natural populations throughout the world. One approach conservation planners may use to evaluate the effects of these challenges on wildlife populations is scenario planning.</li><li>We developed an individual-based model to evaluate the effects of future land use and land cover changes on spring-migrating dabbling ducks in North America. We assessed the effects of three Intergovernmental Panel&nbsp;on Climate Change emission scenarios (A1B, A2 and B1) on dabbling duck stopover duration, movement distances and mortality. We specifically focused on migration stopover duration because previous research has demonstrated that individuals arriving earlier on the nesting grounds exhibit increased reproductive fitness.</li><li>Compared to present conditions, all three scenarios increased stopover duration and movement distances of agent ducks.</li><li>Although all three scenarios presented migrating ducks with increased amounts of wetland habitat, scenarios also contained substantially less cropland, which decreased overall carrying capacity of the study area.</li><li><i>Synthesis and applications</i>. Land-use change may increase waterfowl spring migration stopover duration in the midcontinent region of North America due to reduced landscape energetic carrying capacity. Climate change will alter spatial patterns of crop distributions with corn and rice production areas shifting to different regions. Thus, conservation planners will have to address population-level energetic implications of shifting agricultural food resources and increased uncertainty in yearly precipitation patterns within the next 50&nbsp;years.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.12788","usgsCitation":"Beatty, W.S., Kesler, D.C., Webb, E.B., Naylor, L.W., Raedeke, A.H., Humburg, D.D., Coluccy, J.M., and Soulliere, G.J., 2017, How will predicted land-use change affect waterfowl spring stopover ecology? Inferences from an individual-based model: Journal of Applied Ecology, v. 54, no. 3, p. 926-934, https://doi.org/10.1111/1365-2664.12788.","productDescription":"9 p.","startPage":"926","endPage":"934","ipdsId":"IP-066514","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":470209,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.12788","text":"Publisher Index Page"},{"id":330603,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-11","publicationStatus":"PW","scienceBaseUri":"5819a9c1e4b0bb36a4c91003","contributors":{"authors":[{"text":"Beatty, William S. 0000-0003-0013-3113 wbeatty@usgs.gov","orcid":"https://orcid.org/0000-0003-0013-3113","contributorId":173946,"corporation":false,"usgs":true,"family":"Beatty","given":"William","email":"wbeatty@usgs.gov","middleInitial":"S.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":652611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kesler, Dylan C.","contributorId":14358,"corporation":false,"usgs":false,"family":"Kesler","given":"Dylan","email":"","middleInitial":"C.","affiliations":[{"id":6769,"text":"University of Missouri, Columbia, MO","active":true,"usgs":false}],"preferred":false,"id":652612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":652590,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Naylor, Luke W.","contributorId":145840,"corporation":false,"usgs":false,"family":"Naylor","given":"Luke","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":652613,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Raedeke, Andrew H.","contributorId":94083,"corporation":false,"usgs":true,"family":"Raedeke","given":"Andrew","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":652614,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Humburg, Dale D.","contributorId":79357,"corporation":false,"usgs":false,"family":"Humburg","given":"Dale","email":"","middleInitial":"D.","affiliations":[{"id":13073,"text":"Ducks Unlimited, Inc.","active":true,"usgs":false}],"preferred":false,"id":652615,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Coluccy, John M.","contributorId":111382,"corporation":false,"usgs":true,"family":"Coluccy","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":652616,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Soulliere, Gregory J.","contributorId":172329,"corporation":false,"usgs":false,"family":"Soulliere","given":"Gregory","email":"","middleInitial":"J.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":652617,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70178063,"text":"70178063 - 2017 - Combining citizen science species distribution models and stable isotopes reveals migratory connectivity in the secretive Virginia rail","interactions":[],"lastModifiedDate":"2017-03-22T15:00:13","indexId":"70178063","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2017","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":"Combining citizen science species distribution models and stable isotopes reveals migratory connectivity in the secretive Virginia rail","docAbstract":"<ol id=\"jpe12723-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li>Stable hydrogen isotope (δD) methods for tracking animal movement are widely used yet often produce low resolution assignments. Incorporating prior knowledge of abundance, distribution or movement patterns can ameliorate this limitation, but data are lacking for most species. We demonstrate how observations reported by citizen scientists can be used to develop robust estimates of species distributions and to constrain δD assignments.</li><li>We developed a Bayesian framework to refine isotopic estimates of migrant animal origins conditional on species distribution models constructed from citizen scientist observations. To illustrate this approach, we analysed the migratory connectivity of the Virginia rail <i>Rallus limicola</i>, a secretive and declining migratory game bird in North America.</li><li>Citizen science observations enabled both estimation of sampling bias and construction of bias-corrected species distribution models. Conditioning δD assignments on these species distribution models yielded comparably high-resolution assignments.</li><li>Most Virginia rails wintering across five Gulf Coast sites spent the previous summer near the Great Lakes, although a considerable minority originated from the Chesapeake Bay watershed or Prairie Pothole region of North Dakota. Conversely, the majority of migrating Virginia rails from a site in the Great Lakes most likely spent the previous winter on the Gulf Coast between Texas and Louisiana.</li><li><i>Synthesis and applications</i>. In this analysis, Virginia rail migratory connectivity does not fully correspond to the administrative flyways used to manage migratory birds. This example demonstrates that with the increasing availability of citizen science data to create species distribution models, our framework can produce high-resolution estimates of migratory connectivity for many animals, including cryptic species. Empirical evidence of links between seasonal habitats will help enable effective habitat management, hunting quotas and population monitoring and also highlight critical knowledge gaps.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.12723","usgsCitation":"Fournier, A., Sullivan, A.R., Bump, J.K., Perkins, M., Shieldcastle, M.C., and King, S.L., 2017, Combining citizen science species distribution models and stable isotopes reveals migratory connectivity in the secretive Virginia rail: Journal of Applied Ecology, v. 54, no. 2, p. 618-627, https://doi.org/10.1111/1365-2664.12723.","productDescription":"10 p.","startPage":"618","endPage":"627","ipdsId":"IP-064836","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":470208,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.12723","text":"Publisher Index Page"},{"id":330642,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-13","publicationStatus":"PW","scienceBaseUri":"5819a9c0e4b0bb36a4c90fff","contributors":{"authors":[{"text":"Fournier, Auriel M. V.","contributorId":176535,"corporation":false,"usgs":false,"family":"Fournier","given":"Auriel M. V.","affiliations":[],"preferred":false,"id":652704,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sullivan, Alexis R.","contributorId":176536,"corporation":false,"usgs":false,"family":"Sullivan","given":"Alexis","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":652705,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bump, Joseph K.","contributorId":176538,"corporation":false,"usgs":false,"family":"Bump","given":"Joseph","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":652706,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perkins, Marie","contributorId":22957,"corporation":false,"usgs":false,"family":"Perkins","given":"Marie","email":"","affiliations":[],"preferred":false,"id":685742,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shieldcastle, Mark C.","contributorId":189699,"corporation":false,"usgs":false,"family":"Shieldcastle","given":"Mark","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":685743,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":652689,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70178046,"text":"70178046 - 2017 - Evaluating nest supplementation as a recovery strategy for the endangered rodents of the Florida Keys","interactions":[],"lastModifiedDate":"2017-03-15T14:13:53","indexId":"70178046","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating nest supplementation as a recovery strategy for the endangered rodents of the Florida Keys","docAbstract":"<p><span>The Key Largo woodrat (</span><i>Neotoma floridana smalli</i><span>) and Key Largo cotton mouse (</span><i>Peromyscus gossypinus allapaticola</i><span>) are federally endangered subspecies endemic to the tropical hardwood hammocks of Key Largo, Florida. Woodrats are considered generalists in habitat and diet, yet a steady decline in natural stick nests and capture rates over the past several decades suggests that they are limited by the availability of nesting habitat due to habitat loss and fragmentation. The more specialized Key Largo cotton mouse appears to rely on old growth hammock, a habitat type that is rare following past land clearing. In 2004, the U.S. Fish and Wildlife Service started building supplemental nest structures to restore habitat quality and connectivity for these endangered rodents, but nest use requires evaluation. We used camera traps and occupancy models to evaluate the factors influencing woodrat and cotton mouse use of the supplemental nests. We detected woodrats at 65 and cotton mice at 175 of 284 sampled nest structures, with co-occurrence at 38 nests. Woodrat nest use followed a gradient from low nest use in the north to high nest use in the south, which might relate to the proximity of free-ranging domestic cat (</span><i>Felis catus</i><span>) colonies in residential developments. Cotton mouse nest use, however, was related positively to mature hammock and related negatively to disturbed areas (e.g. scarified lands). The two species occurred independently of each other. Stick-stacking behavior was observed at supplemental nests and, although it was correlated with detection of woodrats, it was not a strong predictor of their occurrence. We suggest that nest supplementation can be an important tool for species recovery as habitat quality continues to improve with succession.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/rec.12418","usgsCitation":"Cove, M., Simons, T.R., Gardner, B., Maurer, A.S., and O’Connell, A.F., 2017, Evaluating nest supplementation as a recovery strategy for the endangered rodents of the Florida Keys: Restoration Ecology, v. 25, no. 2, p. 253-260, https://doi.org/10.1111/rec.12418.","productDescription":"8 p.","startPage":"253","endPage":"260","ipdsId":"IP-066131","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":337480,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Key Largo","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.16125488281249,\n              24.347096633808512\n            ],\n            [\n              -79.9639892578125,\n              24.347096633808512\n            ],\n            [\n              -79.9639892578125,\n              25.84439325019514\n            ],\n            [\n              -82.16125488281249,\n              25.84439325019514\n            ],\n            [\n              -82.16125488281249,\n              24.347096633808512\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-13","publicationStatus":"PW","scienceBaseUri":"5819a9c1e4b0bb36a4c91001","contributors":{"authors":[{"text":"Cove, Michael V.","contributorId":176507,"corporation":false,"usgs":false,"family":"Cove","given":"Michael V.","affiliations":[],"preferred":false,"id":652605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simons, Theodore R. 0000-0002-1884-6229 tsimons@usgs.gov","orcid":"https://orcid.org/0000-0002-1884-6229","contributorId":2623,"corporation":false,"usgs":true,"family":"Simons","given":"Theodore","email":"tsimons@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":652591,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gardner, Beth","contributorId":91612,"corporation":false,"usgs":false,"family":"Gardner","given":"Beth","affiliations":[{"id":13553,"text":"University of Washington-Seattle","active":true,"usgs":false}],"preferred":false,"id":652606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maurer, Andrew S.","contributorId":176508,"corporation":false,"usgs":false,"family":"Maurer","given":"Andrew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":652607,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O’Connell, Allan F. 0000-0001-7032-7023 aoconnell@usgs.gov","orcid":"https://orcid.org/0000-0001-7032-7023","contributorId":471,"corporation":false,"usgs":true,"family":"O’Connell","given":"Allan","email":"aoconnell@usgs.gov","middleInitial":"F.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":652608,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70177944,"text":"70177944 - 2017 - Hydrologic restoration in a dynamic subtropical mangrove-to-marsh ecotone","interactions":[],"lastModifiedDate":"2017-06-28T10:23:25","indexId":"70177944","displayToPublicDate":"2016-10-31T12:30:35","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic restoration in a dynamic subtropical mangrove-to-marsh ecotone","docAbstract":"<p><span>Extensive hydrologic modifications in coastal regions across the world have occurred to support infrastructure development, altering the function of many coastal wetlands. Wetland restoration success is dependent on the existence of hydrologic regimes that support development of appropriate soils and the growth and persistence of wetland vegetation. In Florida, United States, the Comprehensive Everglades Restoration Program (CERP) seeks to restore, protect, and preserve water resources of the greater Everglades region. Herein we describe vegetation dynamics in a mangrove-to-marsh ecotone within the impact area of a CERP hydrologic restoration project currently under development. Vegetation communities are also described for a similar area outside the project area. We found that vegetation shifts within the impact area occurred over a 7-year period; cover of herbaceous species varied by location, and an 88% increase in the total number of mangrove seedlings was documented. We attribute these shifts to the existing modified hydrologic regime, which is characterized by a low volume of freshwater sheet flow compared with historical conditions (i.e. before modification), as well as increased tidal influence. We also identified a significant trend of decreasing soil surface elevation at the impact area. The CERP restoration project is designed to increase freshwater sheet flow to the impact area. Information from our study characterizing existing vegetation dynamics prior to implementation of the restoration project is required to allow documentation of long-term project effects on plant community composition and structure within a framework of background variation, thereby allowing assessment of the project's success in restoring critical ecosystem functions.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/rec.12452","usgsCitation":"Howard, R.J., Day, R.H., Krauss, K.W., From, A.S., Allain, L.K., and Cormier, N., 2017, Hydrologic restoration in a dynamic subtropical mangrove-to-marsh ecotone: Restoration Ecology, v. 25, no. 3, p. 471-482, https://doi.org/10.1111/rec.12452.","productDescription":"12 p.","startPage":"471","endPage":"482","ipdsId":"IP-077093","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":438461,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZLM50V","text":"USGS data release","linkHelpText":"Vegetation survey of southwest Florida for use in assessment of the Picayune Strand Restoration Project effects"},{"id":330576,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida ","otherGeospatial":"Big Cypress National Rreserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.57485961914062,\n              26.025319095640015\n            ],\n            [\n              -81.48422241210938,\n              26.00865837808846\n            ],\n            [\n              -81.42105102539061,\n              25.988909281163984\n            ],\n            [\n              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-81.57485961914062,\n              26.025319095640015\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-26","publicationStatus":"PW","scienceBaseUri":"5818582ce4b0bb36a4c6fa01","contributors":{"authors":[{"text":"Howard, Rebecca J. 0000-0001-7264-4364 howardr@usgs.gov","orcid":"https://orcid.org/0000-0001-7264-4364","contributorId":2429,"corporation":false,"usgs":true,"family":"Howard","given":"Rebecca","email":"howardr@usgs.gov","middleInitial":"J.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":652442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day, Richard H. 0000-0002-5959-7054 dayr@usgs.gov","orcid":"https://orcid.org/0000-0002-5959-7054","contributorId":2427,"corporation":false,"usgs":true,"family":"Day","given":"Richard","email":"dayr@usgs.gov","middleInitial":"H.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":652443,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":652444,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"From, Andrew S. 0000-0002-6543-2627 froma@usgs.gov","orcid":"https://orcid.org/0000-0002-6543-2627","contributorId":5038,"corporation":false,"usgs":true,"family":"From","given":"Andrew","email":"froma@usgs.gov","middleInitial":"S.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":652445,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allain, Larry K. 0000-0002-7717-9761 allainl@usgs.gov","orcid":"https://orcid.org/0000-0002-7717-9761","contributorId":2414,"corporation":false,"usgs":true,"family":"Allain","given":"Larry","email":"allainl@usgs.gov","middleInitial":"K.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":652446,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cormier, Nicole 0000-0003-2453-9900 cormiern@usgs.gov","orcid":"https://orcid.org/0000-0003-2453-9900","contributorId":4262,"corporation":false,"usgs":true,"family":"Cormier","given":"Nicole","email":"cormiern@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":652447,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70177951,"text":"70177951 - 2017 - Groundwater response to the 2014 pulse flow in the Colorado River Delta","interactions":[],"lastModifiedDate":"2019-12-19T07:08:23","indexId":"70177951","displayToPublicDate":"2016-10-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater response to the 2014 pulse flow in the Colorado River Delta","docAbstract":"<p><span>During the March-May 2014 Colorado River Delta pulse flow, approximately 102&nbsp;×&nbsp;10</span><sup>6</sup><span>&nbsp;m</span><sup>3</sup><span> (82,000 acre-feet) of water was released into the channel at Morelos Dam, with additional releases further downstream. The majority of pulse flow water infiltrated and recharged the regional aquifer. Using groundwater-level and microgravity data we mapped the spatial and temporal distribution of changes in aquifer storage associated with pulse flow. Surface-water losses to infiltration were greatest around the Southerly International Boundary, where a lowered groundwater level owing to nearby pumping created increased storage potential as compared to other areas with shallower groundwater. Groundwater levels were elevated for several months after the pulse flow but had largely returned to pre-pulse levels by fall 2014. Elevated groundwater levels in the limitrophe (border) reach extended about 2&nbsp;km to the east around the midway point between the Northerly and Southerly International Boundaries, and about 4&nbsp;km to the east at the southern end. In the southern part of the delta, although total streamflow in the channel was less due to upstream infiltration, augmented deliveries through irrigation canals and possible irrigation return flows created sustained increases in groundwater levels during summer 2014. Results show that elevated groundwater levels and increases in groundwater storage were relatively short lived (confined to calendar year 2014), and that depressed water levels associated with groundwater pumping around San Luis, Arizona and San Luis Rio Colorado, Sonora cause large, unavoidable infiltration losses of in-channel water to groundwater in the vicinity.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2016.10.072","usgsCitation":"Kennedy, J.R., Rodriguez-Burgueno, E., and Ramirez-Hernandez, J., 2017, Groundwater response to the 2014 pulse flow in the Colorado River Delta: Ecological Engineering, v. 106, no. B, p. 715-724, https://doi.org/10.1016/j.ecoleng.2016.10.072.","productDescription":"10 p.","startPage":"715","endPage":"724","ipdsId":"IP-073836","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":470210,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoleng.2016.10.072","text":"Publisher Index Page"},{"id":330575,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Mexico","otherGeospatial":"Colorado River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.71923828124999,\n              32.699488680852674\n            ],\n            [\n              -114.873046875,\n              32.80574473290688\n            ],\n            [\n              -117.1636962890625,\n              32.602361666817515\n            ],\n            [\n              -117.3175048828125,\n              32.46806060917602\n            ],\n            [\n              -116.3232421875,\n              30.850363469502362\n            ],\n            [\n              -114.5928955078125,\n              31.695455797778713\n            ],\n            [\n              -114.71923828124999,\n              32.699488680852674\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"106","issue":"B","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5818582de4b0bb36a4c6fa0d","contributors":{"authors":[{"text":"Kennedy, Jeffrey R. 0000-0002-3365-6589 jkennedy@usgs.gov","orcid":"https://orcid.org/0000-0002-3365-6589","contributorId":176478,"corporation":false,"usgs":true,"family":"Kennedy","given":"Jeffrey","email":"jkennedy@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":652458,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodriguez-Burgueno, Eliana 0000-0002-5590-6606","orcid":"https://orcid.org/0000-0002-5590-6606","contributorId":176492,"corporation":false,"usgs":false,"family":"Rodriguez-Burgueno","given":"Eliana","email":"","affiliations":[],"preferred":false,"id":652510,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramirez-Hernandez, Jorge","contributorId":176218,"corporation":false,"usgs":false,"family":"Ramirez-Hernandez","given":"Jorge","affiliations":[],"preferred":false,"id":652511,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70178213,"text":"70178213 - 2017 - Breeding birds in managed forests on public conservation lands in the Mississippi Alluvial Valley","interactions":[],"lastModifiedDate":"2016-11-10T09:05:19","indexId":"70178213","displayToPublicDate":"2016-10-27T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Breeding birds in managed forests on public conservation lands in the Mississippi Alluvial Valley","docAbstract":"<p><span>Managers of public conservation lands in the Mississippi Alluvial Valley have implemented forest management strategies to improve bottomland hardwood habitat for target wildlife species. Through implementation of various silvicultural practices, forest managers have sought to attain forest structural conditions (e.g.,&nbsp;canopy cover, basal area, etc.) within values postulated to benefit wildlife. We evaluated data from point count surveys of breeding birds on 180 silviculturally treated stands (1049 counts) that ranged from 1 to 20&nbsp;years&nbsp;post-treatment and 134 control stands (676 counts) that had not been harvested for &gt;20&nbsp;years. Birds detected during 10-min counts were recorded within four distance classes and three time intervals. Avian diversity was greater on treated stands than on unharvested stands. Of 42 commonly detected species, six species including Prothonotary Warbler (</span><i>Prothonotaria citrea</i><span>) and Acadian Flycatcher (</span><i>Empidonax virescens</i><span>) were indicative of control stands. Similarly, six species including Indigo Bunting (</span><i>Passerina cyanea</i><span>) and Yellow-breasted Chat (</span><i>Icteria virens</i><span>) were indicative of treated stands. Using a removal model to assess probability of detection, we evaluated occupancy of bottomland forests at two spatial scales (stands and points within occupied stands). Wildlife-forestry treatment improved predictive models of species occupancy for 18 species. We found years post treatment (range&nbsp;=&nbsp;1–20), total basal area, and overstory canopy were important species-specific predictors of occupancy, whereas variability in basal area was not. In addition, we used a removal model to estimate species-specific probability of availability for detection, and a distance model to estimate effective detection radius. We used these two estimated parameters to derive species densities and 95% confidence intervals for treated and unharvested stands. Avian densities differed between treated and control stands for 16 species, but only Common Yellowthroat (</span><i>Geothlypis trichas</i><span>) and Yellow-breasted Chat had greater densities on treated stands.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2016.10.031","usgsCitation":"Twedt, D.J., and Wilson, R.R., 2017, Breeding birds in managed forests on public conservation lands in the Mississippi Alluvial Valley: Forest Ecology and Management, v. 384, p. 180-190, https://doi.org/10.1016/j.foreco.2016.10.031.","productDescription":"11 p.","startPage":"180","endPage":"190","ipdsId":"IP-074454","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":330859,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":" Mississippi Alluvial Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  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Center","active":true,"usgs":true}],"preferred":true,"id":653261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, R. Randy","contributorId":100287,"corporation":false,"usgs":true,"family":"Wilson","given":"R.","email":"","middleInitial":"Randy","affiliations":[],"preferred":false,"id":653262,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70177931,"text":"70177931 - 2017 - Assessments of species' vulnerability to climate change: From pseudo to science","interactions":[],"lastModifiedDate":"2017-01-10T13:28:53","indexId":"70177931","displayToPublicDate":"2016-10-27T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1006,"text":"Biodiversity and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Assessments of species' vulnerability to climate change: From pseudo to science","docAbstract":"<p><span>Climate change vulnerability assessments (CCVAs) are important tools to plan for and mitigate potential impacts of climate change. However, CCVAs often lack scientific rigor, which can ultimately lead to poor conservation prioritization and associated ecological and economic costs. We discuss the need to improve comparability and consistency of CCVAs and either validate their findings or improve assessment of CCVA uncertainty and sensitivity to methodological assumptions.</span></p>","language":"English","publisher":"Chapman & Hall","doi":"10.1007/s10531-016-1232-5","usgsCitation":"Wade, A., Hand, B., Kovach, R., Muhlfeld, C.C., Waples, R.S., and Luikart, G., 2017, Assessments of species' vulnerability to climate change: From pseudo to science: Biodiversity and Conservation, v. 26, no. 1, p. 223-229, https://doi.org/10.1007/s10531-016-1232-5.","productDescription":"7 p.","startPage":"223","endPage":"229","ipdsId":"IP-077982","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":330508,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-18","publicationStatus":"PW","scienceBaseUri":"5813125ce4b0b5a0c12ab64a","chorus":{"doi":"10.1007/s10531-016-1232-5","url":"http://dx.doi.org/10.1007/s10531-016-1232-5","publisher":"Springer Nature","authors":"Wade Alisa A., Hand Brian K., Kovach Ryan P., Muhlfeld Clint C., Waples Robin S., Luikart Gordon","journalName":"Biodiversity and Conservation","publicationDate":"10/18/2016","auditedOn":"2/1/2017","publiclyAccessibleDate":"10/18/2016"},"contributors":{"authors":[{"text":"Wade, Alisa A.","contributorId":145917,"corporation":false,"usgs":false,"family":"Wade","given":"Alisa A.","affiliations":[{"id":16296,"text":"University of Montana, Polson Montana 59860 USA","active":true,"usgs":false}],"preferred":false,"id":652401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hand, Brian K.","contributorId":139248,"corporation":false,"usgs":false,"family":"Hand","given":"Brian K.","affiliations":[{"id":12707,"text":"Flathead Lake Biological Station, Fish and Wildlife Genomics Group, University of Montana, Polson, MT 59860","active":true,"usgs":false}],"preferred":false,"id":652402,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kovach, Ryan 0000-0001-5402-2123 rkovach@usgs.gov","orcid":"https://orcid.org/0000-0001-5402-2123","contributorId":145914,"corporation":false,"usgs":true,"family":"Kovach","given":"Ryan","email":"rkovach@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":652400,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":652403,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waples, Robin S.","contributorId":126721,"corporation":false,"usgs":false,"family":"Waples","given":"Robin","email":"","middleInitial":"S.","affiliations":[{"id":6578,"text":"National Marine Fisheries Service, Seattle, WA 98112, USA","active":true,"usgs":false}],"preferred":false,"id":652404,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Luikart, Gordon","contributorId":97409,"corporation":false,"usgs":false,"family":"Luikart","given":"Gordon","affiliations":[{"id":6580,"text":"University of Montana, Flathead Lake Biological Station, Polson, Montana 59860, USA","active":true,"usgs":false}],"preferred":false,"id":652405,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70177934,"text":"70177934 - 2017 - Climate, invasive species and land use drive population dynamics of a cold-water specialist","interactions":[],"lastModifiedDate":"2017-03-22T15:01:31","indexId":"70177934","displayToPublicDate":"2016-10-27T00:00:00","publicationYear":"2017","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":"Climate, invasive species and land use drive population dynamics of a cold-water specialist","docAbstract":"<ol id=\"jpe12766-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li>Climate change is an additional stressor in a complex suite of threats facing freshwater biodiversity, particularly for cold-water fishes. Research addressing the consequences of climate change on cold-water fish has generally focused on temperature limits defining spatial distributions, largely ignoring how climatic variation influences population dynamics in the context of other existing stressors.</li><li>We used long-term data from 92 populations of bull trout <i>Salvelinus confluentus</i> – one of North America's most cold-adapted fishes – to quantify additive and interactive effects of climate, invasive species and land use on population dynamics (abundance, variability and growth rate).</li><li>Populations were generally depressed, more variable and declining where spawning and rearing stream habitat was limited, invasive species and land use were prevalent and stream temperatures were highest. Increasing stream temperature acted additively and independently, whereas land use and invasive species had additive and interactive effects (i.e. the impact of one stressor depended on exposure to the other stressor).</li><li>Most (58%–78%) of the explained variation in population dynamics was attributed to the presence of invasive species, differences in life history and management actions in foraging habitats in rivers, lakes and reservoirs. Although invasive fishes had strong negative effects on populations in foraging habitats, proactive control programmes appeared to effectively temper their negative impact.</li><li><i>Synthesis and applications</i>. Long-term demographic data emphasize that climate warming&nbsp;will exacerbate imperilment of cold-water specialists like bull trout, yet other stressors – especially invasive fishes – are immediate threats that can be addressed by proactive management actions. Therefore, climate-adaptation strategies for freshwater biodiversity&nbsp;should consider existing abiotic and biotic stressors, some of which provide potential&nbsp;and realized opportunity for conservation of freshwater biodiversity in a warming world.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.12766","usgsCitation":"Kovach, R.P., Al-Chokhachy, R.K., Whited, D.C., Schmetterling, D.A., Dux, A.M., and Muhlfeld, C.C., 2017, Climate, invasive species and land use drive population dynamics of a cold-water specialist: Journal of Applied Ecology, v. 54, no. 2, p. 638-647, https://doi.org/10.1111/1365-2664.12766.","productDescription":"10 p.","startPage":"638","endPage":"647","ipdsId":"IP-073215","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":488532,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.12766","text":"Publisher Index Page"},{"id":330511,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-05","publicationStatus":"PW","scienceBaseUri":"5813125be4b0b5a0c12ab640","chorus":{"doi":"10.1111/1365-2664.12766","url":"http://dx.doi.org/10.1111/1365-2664.12766","publisher":"Wiley-Blackwell","authors":"Kovach Ryan P., Al-Chokhachy Robert, Whited Diane C., Schmetterling David A., Dux Andrew M., Muhlfeld Clint C.","journalName":"Journal of Applied Ecology","publicationDate":"9/5/2016","publiclyAccessibleDate":"9/5/2016"},"contributors":{"authors":[{"text":"Kovach, Ryan P. rkovach@usgs.gov","contributorId":5772,"corporation":false,"usgs":true,"family":"Kovach","given":"Ryan","email":"rkovach@usgs.gov","middleInitial":"P.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":652419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Al-Chokhachy, Robert K. 0000-0002-2136-5098 ral-chokhachy@usgs.gov","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":1674,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","email":"ral-chokhachy@usgs.gov","middleInitial":"K.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":652420,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whited, Diane C.","contributorId":145916,"corporation":false,"usgs":false,"family":"Whited","given":"Diane","email":"","middleInitial":"C.","affiliations":[{"id":16296,"text":"University of Montana, Polson Montana 59860 USA","active":true,"usgs":false}],"preferred":false,"id":652421,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmetterling, David A.","contributorId":20223,"corporation":false,"usgs":true,"family":"Schmetterling","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":652422,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dux, Andrew M.","contributorId":175256,"corporation":false,"usgs":false,"family":"Dux","given":"Andrew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":652423,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":652424,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70177847,"text":"70177847 - 2017 - A history of the 2014 Minute 319 environmental pulse flow asdocumented by field measurements and satellite imagery","interactions":[],"lastModifiedDate":"2017-08-27T18:37:40","indexId":"70177847","displayToPublicDate":"2016-10-25T11:15:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"A history of the 2014 Minute 319 environmental pulse flow asdocumented by field measurements and satellite imagery","docAbstract":"<p><span>As provided in Minute 319 of the U.S.-Mexico Water Treaty of 1944, a pulse flow of approximately 132 million cubic meters (mcm) was released to the riparian corridor of the Colorado River Delta over an eight-week period that began March 23, 2014 and ended May 18, 2014. Peak flows were released in the early part of the pulse to simulate a spring flood, with approximately 101.7&nbsp;mcm released at Morelos Dam on the U.S.-Mexico border. The remainder of the pulse flow water was released to the riparian corridor via Mexicali Valley irrigation spillway canals, with 20.9&nbsp;mcm released at Km 27 Spillway (41&nbsp;km below Morelos Dam) and 9.3&nbsp;mcm released at Km 18 Spillway (78&nbsp;km below Morelos Dam). We used sequential satellite images, overflights, ground observations, water discharge measurements, and automated temperature, river stage and water quality loggers to document and describe the progression of pulse flow water through the study area. The rate of advance of the wetted front was slowed by infiltration and high channel roughness as the pulse flow crossed more than 40&nbsp;km of dry channel which was disconnected from underlying groundwater and partially overgrown with salt cedar. High lag time and significant attenuation of flow resulted in a changing hydrograph as the pulse flow progressed to the downstream delivery points; two peak flows occurred in some lower reaches. The pulse flow advanced more than 120&nbsp;km downstream from Morelos Dam to reach the Colorado River estuary at the northern end of the Gulf of California.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2016.10.040","usgsCitation":"Nelson, S., Ramirez-Hernandez, J., Rodriguez-Burgeueno, J.E., Milliken, J., Kennedy, J.R., Zamora-Arroyo, F., Schlatter, K., Santiago-Serrano, E., and Carrera-Villa, E., 2017, A history of the 2014 Minute 319 environmental pulse flow asdocumented by field measurements and satellite imagery: Ecological Engineering, v. 106, no. B, p. 733-748, https://doi.org/10.1016/j.ecoleng.2016.10.040.","productDescription":"16 p.","startPage":"733","endPage":"748","ipdsId":"IP-072720","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":330356,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"106","issue":"B","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58106f97e4b0f497e796110b","contributors":{"authors":[{"text":"Nelson, Steven M.","contributorId":176230,"corporation":false,"usgs":false,"family":"Nelson","given":"Steven M.","affiliations":[],"preferred":false,"id":651934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramirez-Hernandez, Jorge","contributorId":176218,"corporation":false,"usgs":false,"family":"Ramirez-Hernandez","given":"Jorge","affiliations":[],"preferred":false,"id":651935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodriguez-Burgeueno, J. Eliana","contributorId":176219,"corporation":false,"usgs":false,"family":"Rodriguez-Burgeueno","given":"J.","email":"","middleInitial":"Eliana","affiliations":[],"preferred":false,"id":651936,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Milliken, Jeff","contributorId":130998,"corporation":false,"usgs":false,"family":"Milliken","given":"Jeff","email":"","affiliations":[{"id":7203,"text":"DOI, Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":651937,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kennedy, Jeffrey R. 0000-0002-3365-6589 jkennedy@usgs.gov","orcid":"https://orcid.org/0000-0002-3365-6589","contributorId":2172,"corporation":false,"usgs":true,"family":"Kennedy","given":"Jeffrey","email":"jkennedy@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":651933,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zamora-Arroyo, Francisco","contributorId":75834,"corporation":false,"usgs":true,"family":"Zamora-Arroyo","given":"Francisco","email":"","affiliations":[],"preferred":false,"id":651938,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schlatter, Karen","contributorId":176222,"corporation":false,"usgs":false,"family":"Schlatter","given":"Karen","email":"","affiliations":[],"preferred":false,"id":651939,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Santiago-Serrano, Edith","contributorId":176223,"corporation":false,"usgs":false,"family":"Santiago-Serrano","given":"Edith","email":"","affiliations":[],"preferred":false,"id":651940,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Carrera-Villa, Edgar","contributorId":176232,"corporation":false,"usgs":false,"family":"Carrera-Villa","given":"Edgar","email":"","affiliations":[],"preferred":false,"id":651960,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70177861,"text":"70177861 - 2017 - A landscape-scale assessment of above- and belowground primary production in coastal wetlands: Implications for climate change-induced community shifts","interactions":[],"lastModifiedDate":"2017-03-22T15:02:40","indexId":"70177861","displayToPublicDate":"2016-10-25T10:15:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"A landscape-scale assessment of above- and belowground primary production in coastal wetlands: Implications for climate change-induced community shifts","docAbstract":"<p><span>Above- and belowground production in coastal wetlands are important contributors to carbon accumulation and ecosystem sustainability. As sea level rises, we can expect shifts to more salt-tolerant communities, which may alter these ecosystem functions and services. Although the direct influence of salinity on species-level primary production has been documented, we lack an understanding of the landscape-level response of coastal wetlands to increasing salinity. What are the indirect effects of sea-level rise, i.e., how does primary production vary across a landscape gradient of increasing salinity that incorporates changes in wetland type? This is the first study to measure both above- and belowground production in four wetland types that span an entire coastal gradient from fresh to saline wetlands. We hypothesized that increasing salinity would limit rates of primary production, and saline marshes would have lower rates of above- and belowground production than fresher marshes. However, along the Northern Gulf of Mexico Coast in Louisiana, USA, we found that aboveground production was highest in brackish marshes, compared with fresh, intermediate, and saline marshes, and belowground production was similar among all wetland types along the salinity gradient. Multiple regression analysis indicated that salinity was the only significant predictor of production, and its influence was dependent upon wetland type. We concluded that (1) salinity had a negative effect on production within wetland type, and this relationship was strongest in the fresh marsh (0–2&nbsp;PSU) and (2) along the overall landscape gradient, production was maintained by mechanisms at the scale of wetland type, which were likely related to plant energetics. Regardless of wetland type, we found that belowground production was significantly greater than aboveground production. Additionally, inter-annual variation, associated with severe drought conditions, was observed exclusively for belowground production, which may be a more sensitive indicator of ecosystem health than aboveground production.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12237-016-0177-y","usgsCitation":"Stagg, C.L., Schoolmaster, D.R., Piazza, S.C., Snedden, G., Steyer, G.D., Fischenich, C.J., and McComas, R.W., 2017, A landscape-scale assessment of above- and belowground primary production in coastal wetlands: Implications for climate change-induced community shifts: Estuaries and Coasts, v. 40, no. 3, p. 856-879, https://doi.org/10.1007/s12237-016-0177-y.","productDescription":"24 p.","startPage":"856","endPage":"879","ipdsId":"IP-074119","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":438463,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7G44NFJ","text":"USGS data release","linkHelpText":"Primary production across a coastal wetland landscape in Louisiana, U.S.A. (2012-2014)"},{"id":330353,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-24","publicationStatus":"PW","scienceBaseUri":"58106f97e4b0f497e796110f","contributors":{"authors":[{"text":"Stagg, Camille L. 0000-0002-1125-7253 staggc@usgs.gov","orcid":"https://orcid.org/0000-0002-1125-7253","contributorId":4111,"corporation":false,"usgs":true,"family":"Stagg","given":"Camille","email":"staggc@usgs.gov","middleInitial":"L.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":651950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoolmaster, Donald R. Jr. 0000-0003-0910-4458 schoolmasterd@usgs.gov","orcid":"https://orcid.org/0000-0003-0910-4458","contributorId":4746,"corporation":false,"usgs":true,"family":"Schoolmaster","given":"Donald","suffix":"Jr.","email":"schoolmasterd@usgs.gov","middleInitial":"R.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":651951,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Piazza, Sarai C. 0000-0001-6962-9008 piazzas@usgs.gov","orcid":"https://orcid.org/0000-0001-6962-9008","contributorId":466,"corporation":false,"usgs":true,"family":"Piazza","given":"Sarai","email":"piazzas@usgs.gov","middleInitial":"C.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":651952,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Snedden, Gregg 0000-0001-7821-3709 sneddeng@usgs.gov","orcid":"https://orcid.org/0000-0001-7821-3709","contributorId":140235,"corporation":false,"usgs":true,"family":"Snedden","given":"Gregg","email":"sneddeng@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":651953,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Steyer, Gregory D. 0000-0001-7231-0110 steyerg@usgs.gov","orcid":"https://orcid.org/0000-0001-7231-0110","contributorId":2856,"corporation":false,"usgs":true,"family":"Steyer","given":"Gregory","email":"steyerg@usgs.gov","middleInitial":"D.","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":651954,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fischenich, Craig J","contributorId":176226,"corporation":false,"usgs":false,"family":"Fischenich","given":"Craig","email":"","middleInitial":"J","affiliations":[],"preferred":false,"id":651955,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McComas, Robert W.","contributorId":176227,"corporation":false,"usgs":false,"family":"McComas","given":"Robert","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":651956,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70177984,"text":"70177984 - 2017 - Improving spatio-temporal benefit transfers for pest control by generalist predators in cotton in the southwestern U.S.","interactions":[],"lastModifiedDate":"2020-09-01T14:19:50.040593","indexId":"70177984","displayToPublicDate":"2016-10-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2029,"text":"International Journal of Biodiversity Science, Ecosystem Services and Management","active":true,"publicationSubtype":{"id":10}},"title":"Improving spatio-temporal benefit transfers for pest control by generalist predators in cotton in the southwestern U.S.","docAbstract":"<p><span>Given rapid changes in agricultural practice, it is critical to understand how alterations in ecological, technological, and economic conditions over time and space impact ecosystem services in agroecosystems. Here, we present a benefit transfer approach to quantify cotton pest-control services provided by a generalist predator, the Mexican free-tailed bat (</span><i>Tadarida brasiliensis mexicana</i><span>), in the southwestern United States. We show that pest-control estimates derived using (1) a </span><i>compound spatial</i><span>–</span><i>temporal</i><span> model – which incorporates spatial and temporal variability in crop pest-control service values – are likely to exhibit less error than those derived using (2) a </span><i>simple-spatial</i><span> model (i.e., a model that extrapolates values derived for one area directly, without adjustment, to other areas) or (3) a </span><i>simple-temporal</i><span> model (i.e., a model that extrapolates data from a few points in time over longer time periods). Using our compound spatial–temporal approach, the annualized pest-control value was \\$12.2 million, in contrast to an estimate of \\$70.1 million (5.7 times greater), obtained from the simple-spatial approach. Using estimates from one year (simple-temporal approach) revealed large value differences (0.4 times smaller to 2 times greater). Finally, we present a detailed protocol for valuing pest-control services, which can be used to develop robust pest-control transfer functions for generalist predators in agroecosystems.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/21513732.2016.1240712","usgsCitation":"Wiederholt, R., Bagstad, K.J., McCracken, G.F., Diffendorfer, J.E., Loomis, J., Semmens, D.J., Russell, A.L., Sansone, C., LaSharr, K., Cryan, P.M., Reynoso, C., Medellin, R., and Lopez-Hoffman, L., 2017, Improving spatio-temporal benefit transfers for pest control by generalist predators in cotton in the southwestern U.S.: International Journal of Biodiversity Science, Ecosystem Services and Management, v. 13, no. 1, p. 27-39, https://doi.org/10.1080/21513732.2016.1240712.","productDescription":"13 p.","startPage":"27","endPage":"39","ipdsId":"IP-056064","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science 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In this thought exercise, we attempted to convert all currently official names of species included in the virus family<span>&nbsp;</span></span><i>Arenaviridae</i><span><span>&nbsp;</span>and the virus order<span>&nbsp;</span></span><i>Mononegavirales</i><span><span>&nbsp;</span>to Linnaean binomials, and to identify and address associated challenges and concerns. Surprisingly, this endeavor was not as complicated or time-consuming as even the authors of this article expected when conceiving the experiment.</span></p>","language":"English","publisher":"Society of Systematic Biologists","doi":"10.1093/sysbio/syw096","usgsCitation":"Thomas, P., Clawson, A.N., Amarasinghe, G.K., Basler, C.F., Bavari, S., Benko, M., Blasdell, K.R., Briese, T., Buchmeier, M.J., Bukreyev, A., Calisher, C., Chandran, K., Charrel, R., Clegg, C.S., Collins, P.L., De la Torre, J.C., DeRisi, J.L., Dietzgen, R.G., Dolnik, O., Durrwald, R., Dye, J.M., Easton, A.J., Emonet, S., Formenty, P., Fouchier, R.A., Ghedin, E., Gonzalez, J., Harrach, B., Hewson, R., Horie, M., Jiang, D., Kobinger, G.P., Kondo, H., Kropinski, A., Krupovic, M., Kurath, G., Lamb, R.A., Leroy, E.M., Lukashevich, I.S., Maisner, A., Mushegian, A., Netesov, S.V., Nowotny, N., Patterson, J.L., Payne, S.L., Paweska, J.T., Peters, C., Radoshitzky, S., Rima, B.K., Romanowski, V., Rubbenstroth, D., Sabanadzovic, S., Sanfacon, H., Salvato, M., Schwemmle, M., Smither, S.J., Stenglein, M., Stone, D., Takada, A., Tesh, R.B., Tomonaga, K., Tordo, N., Towner, J.S., Vasilakis, N., Volchkov, V.E., Jensen, V., Walker, P.J., Wang, L., Varsani, A., Whitfield, A.E., Zerbini, F.M., and Kuhn, J.H., 2017, Possibility and challenges of conversion of current virus species names to Linnaean binomials: Systematic Biology, v. 66, no. 3, p. 463-473, https://doi.org/10.1093/sysbio/syw096.","productDescription":"11 p.","startPage":"463","endPage":"473","numberOfPages":"11","ipdsId":"IP-078979","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":470212,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/sysbio/syw096","text":"Publisher Index 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L.","contributorId":171999,"corporation":false,"usgs":false,"family":"Patterson","given":"Jean","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":715343,"contributorType":{"id":1,"text":"Authors"},"rank":44},{"text":"Payne, Susan L.","contributorId":172004,"corporation":false,"usgs":false,"family":"Payne","given":"Susan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":715344,"contributorType":{"id":1,"text":"Authors"},"rank":45},{"text":"Paweska, Janusz T.","contributorId":172005,"corporation":false,"usgs":false,"family":"Paweska","given":"Janusz","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":715345,"contributorType":{"id":1,"text":"Authors"},"rank":46},{"text":"Peters, C.J.","contributorId":188323,"corporation":false,"usgs":false,"family":"Peters","given":"C.J.","email":"","affiliations":[],"preferred":false,"id":715346,"contributorType":{"id":1,"text":"Authors"},"rank":47},{"text":"Radoshitzky, Sheli","contributorId":198201,"corporation":false,"usgs":false,"family":"Radoshitzky","given":"Sheli","email":"","affiliations":[],"preferred":false,"id":715347,"contributorType":{"id":1,"text":"Authors"},"rank":48},{"text":"Rima, Bertus K.","contributorId":172007,"corporation":false,"usgs":false,"family":"Rima","given":"Bertus","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":715348,"contributorType":{"id":1,"text":"Authors"},"rank":49},{"text":"Romanowski, Victor","contributorId":198202,"corporation":false,"usgs":false,"family":"Romanowski","given":"Victor","email":"","affiliations":[],"preferred":false,"id":715349,"contributorType":{"id":1,"text":"Authors"},"rank":50},{"text":"Rubbenstroth, Dennis","contributorId":172009,"corporation":false,"usgs":false,"family":"Rubbenstroth","given":"Dennis","email":"","affiliations":[],"preferred":false,"id":715399,"contributorType":{"id":1,"text":"Authors"},"rank":51},{"text":"Sabanadzovic, 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J.","contributorId":172012,"corporation":false,"usgs":false,"family":"Smither","given":"Sophie","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":715404,"contributorType":{"id":1,"text":"Authors"},"rank":56},{"text":"Stenglein, Mark","contributorId":198223,"corporation":false,"usgs":false,"family":"Stenglein","given":"Mark","affiliations":[],"preferred":false,"id":715405,"contributorType":{"id":1,"text":"Authors"},"rank":57},{"text":"Stone, D.M.","contributorId":114025,"corporation":false,"usgs":true,"family":"Stone","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":715406,"contributorType":{"id":1,"text":"Authors"},"rank":58},{"text":"Takada, Ayato","contributorId":198224,"corporation":false,"usgs":false,"family":"Takada","given":"Ayato","email":"","affiliations":[],"preferred":false,"id":715407,"contributorType":{"id":1,"text":"Authors"},"rank":59},{"text":"Tesh, Robert B.","contributorId":127727,"corporation":false,"usgs":false,"family":"Tesh","given":"Robert","email":"","middleInitial":"B.","affiliations":[{"id":7126,"text":"Department of Pathology, Center for Biodefense and Emerging Infectious Diseases, University of Texas Medical Branch, Galveston, TX","active":true,"usgs":false}],"preferred":false,"id":715408,"contributorType":{"id":1,"text":"Authors"},"rank":60},{"text":"Tomonaga, Keizo","contributorId":198225,"corporation":false,"usgs":false,"family":"Tomonaga","given":"Keizo","email":"","affiliations":[],"preferred":false,"id":715409,"contributorType":{"id":1,"text":"Authors"},"rank":61},{"text":"Tordo, N.","contributorId":178357,"corporation":false,"usgs":false,"family":"Tordo","given":"N.","email":"","affiliations":[],"preferred":false,"id":715410,"contributorType":{"id":1,"text":"Authors"},"rank":62},{"text":"Towner, Jonathan S.","contributorId":198226,"corporation":false,"usgs":false,"family":"Towner","given":"Jonathan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":715411,"contributorType":{"id":1,"text":"Authors"},"rank":63},{"text":"Vasilakis, Nikos","contributorId":196404,"corporation":false,"usgs":false,"family":"Vasilakis","given":"Nikos","email":"","affiliations":[],"preferred":false,"id":715412,"contributorType":{"id":1,"text":"Authors"},"rank":64},{"text":"Volchkov, Victor E.","contributorId":198227,"corporation":false,"usgs":false,"family":"Volchkov","given":"Victor","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":715413,"contributorType":{"id":1,"text":"Authors"},"rank":65},{"text":"Jensen, Victoria","contributorId":198228,"corporation":false,"usgs":false,"family":"Jensen","given":"Victoria","email":"","affiliations":[],"preferred":false,"id":715414,"contributorType":{"id":1,"text":"Authors"},"rank":66},{"text":"Walker, Peter J.","contributorId":24658,"corporation":false,"usgs":true,"family":"Walker","given":"Peter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":715415,"contributorType":{"id":1,"text":"Authors"},"rank":67},{"text":"Wang, Lin-Fa","contributorId":198229,"corporation":false,"usgs":false,"family":"Wang","given":"Lin-Fa","email":"","affiliations":[],"preferred":false,"id":715416,"contributorType":{"id":1,"text":"Authors"},"rank":68},{"text":"Varsani, Arvind","contributorId":171722,"corporation":false,"usgs":false,"family":"Varsani","given":"Arvind","email":"","affiliations":[],"preferred":false,"id":715417,"contributorType":{"id":1,"text":"Authors"},"rank":69},{"text":"Whitfield, Anna E.","contributorId":198230,"corporation":false,"usgs":false,"family":"Whitfield","given":"Anna","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":715418,"contributorType":{"id":1,"text":"Authors"},"rank":70},{"text":"Zerbini, Francisco Murilo","contributorId":198231,"corporation":false,"usgs":false,"family":"Zerbini","given":"Francisco","email":"","middleInitial":"Murilo","affiliations":[],"preferred":false,"id":715419,"contributorType":{"id":1,"text":"Authors"},"rank":71},{"text":"Kuhn, Jens H.","contributorId":172013,"corporation":false,"usgs":false,"family":"Kuhn","given":"Jens","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":715420,"contributorType":{"id":1,"text":"Authors"},"rank":72}]}}
,{"id":70170420,"text":"70170420 - 2017 - Camera system considerations for geomorphic applications of SfM photogrammetry","interactions":[],"lastModifiedDate":"2017-05-08T12:04:27","indexId":"70170420","displayToPublicDate":"2016-10-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Camera system considerations for geomorphic applications of SfM photogrammetry","docAbstract":"<p>The availability of high-resolution, multi-temporal, remotely sensed topographic data is revolutionizing geomorphic analysis. Three-dimensional topographic point measurements acquired from structure-from-motion (SfM) photogrammetry have been shown to be highly accurate and cost-effective compared to laser-based alternatives in some environments. Use of consumer-grade digital cameras to generate terrain models and derivatives is becoming prevalent within the geomorphic community despite the details of these instruments being largely overlooked in current SfM literature. This article is protected by copyright. All rights reserved.</p><p>A practical discussion of camera system selection, configuration, and image acquisition is presented. The hypothesis that optimizing source imagery can increase digital terrain model (DTM) accuracy is tested by evaluating accuracies of four SfM datasets conducted over multiple years of a gravel bed river floodplain using independent ground check points with the purpose of comparing morphological sediment budgets computed from SfM- and lidar-derived DTMs. Case study results are compared to existing SfM validation studies in an attempt to deconstruct the principle components of an SfM error budget. This article is protected by copyright. All rights reserved.</p><p>Greater information capacity of source imagery was found to increase pixel matching quality, which produced 8 times greater point density and 6 times greater accuracy. When propagated through volumetric change analysis, individual DTM accuracy (6–37 cm) was sufficient to detect moderate geomorphic change (order 100,000 m<sup>3</sup>) on an unvegetated fluvial surface; change detection determined from repeat lidar and SfM surveys differed by about 10%. Simple camera selection criteria increased accuracy by 64%; configuration settings or image post-processing techniques increased point density by 5–25% and decreased processing time by 10–30%. This article is protected by copyright. All rights reserved.</p><p>Regression analysis of 67 reviewed datasets revealed that the best explanatory variable to predict accuracy of SfM data is photographic scale. Despite the prevalent use of object distance ratios to describe scale, nominal ground sample distance is shown to be a superior metric, explaining 68% of the variability in mean absolute vertical error.</p>","language":"English","publisher":"Wiley","doi":"10.1002/esp.4066","usgsCitation":"Mosbrucker, A.R., Major, J.J., Spicer, K.R., and Pitlick, J., 2017, Camera system considerations for geomorphic applications of SfM photogrammetry: Earth Surface Processes and Landforms, v. 42, no. 6, p. 969-986, https://doi.org/10.1002/esp.4066.","productDescription":"18 p.","startPage":"969","endPage":"986","ipdsId":"IP-060527","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":330899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-03","publicationStatus":"PW","scienceBaseUri":"582443f4e4b09065cdf3051a","contributors":{"authors":[{"text":"Mosbrucker, Adam R. 0000-0003-0298-0324 amosbrucker@usgs.gov","orcid":"https://orcid.org/0000-0003-0298-0324","contributorId":4968,"corporation":false,"usgs":true,"family":"Mosbrucker","given":"Adam","email":"amosbrucker@usgs.gov","middleInitial":"R.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":627189,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Major, Jon J. 0000-0003-2449-4466 jjmajor@usgs.gov","orcid":"https://orcid.org/0000-0003-2449-4466","contributorId":439,"corporation":false,"usgs":true,"family":"Major","given":"Jon","email":"jjmajor@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":627190,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spicer, Kurt R. 0000-0001-5030-3198 krspicer@usgs.gov","orcid":"https://orcid.org/0000-0001-5030-3198","contributorId":2684,"corporation":false,"usgs":true,"family":"Spicer","given":"Kurt","email":"krspicer@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":627191,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pitlick, John","contributorId":168765,"corporation":false,"usgs":false,"family":"Pitlick","given":"John","email":"","affiliations":[{"id":25358,"text":"University of Colorado, Geography Dept., Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":627192,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70177026,"text":"70177026 - 2017 - Larval aquatic insect responses to cadmium and zinc in experimental streams","interactions":[],"lastModifiedDate":"2017-02-24T10:59:27","indexId":"70177026","displayToPublicDate":"2016-10-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Larval aquatic insect responses to cadmium and zinc in experimental streams","docAbstract":"<p><span>To evaluate the risks of metal mixture effects to natural stream communities under ecologically relevant conditions, the authors conducted 30-d tests with benthic macroinvertebrates exposed to cadmium (Cd) and zinc (Zn) in experimental streams. The simultaneous exposures were with Cd and Zn singly and with Cd+Zn mixtures at environmentally relevant ratios. The tests produced concentration–response patterns that for individual taxa were interpreted in the same manner as classic single-species toxicity tests and for community metrics such as taxa richness and mayfly (Ephemeroptera) abundance were interpreted in the same manner as with stream survey data. Effect concentrations from the experimental stream exposures were usually 2 to 3 orders of magnitude lower than those from classic single-species tests. Relative to a response addition model, which assumes that the joint toxicity of the mixtures can be predicted from the product of their responses to individual toxicants, the Cd+Zn mixtures generally showed slightly less than additive toxicity. The authors applied a modeling approach called Tox to explore the mixture toxicity results and to relate the experimental stream results to field data. The approach predicts the accumulation of toxicants (hydrogen, Cd, and Zn) on organisms using a 2-p</span><i>K</i><sub>a</sub><span> bidentate model that defines interactions between dissolved cations and biological receptors (biotic ligands) and relates that accumulation through a logistic equation to biological response. The Tox modeling was able to predict Cd+Zn mixture responses from the single-metal exposures as well as responses from field data. The similarity of response patterns between the 30-d experimental stream tests and field data supports the environmental relevance of testing aquatic insects in experimental streams.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/etc.3599","usgsCitation":"Mebane, C.A., Schmidt, T., and Balistrieri, L.S., 2017, Larval aquatic insect responses to cadmium and zinc in experimental streams: Environmental Toxicology and Chemistry, v. 36, no. 3, p. 749-762, https://doi.org/10.1002/etc.3599.","productDescription":"14 p.","startPage":"749","endPage":"762","ipdsId":"IP-073601","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":329736,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-19","publicationStatus":"PW","scienceBaseUri":"58088687e4b0f497e78e24c5","contributors":{"authors":[{"text":"Mebane, Christopher A. 0000-0002-9089-0267 cmebane@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-0267","contributorId":110,"corporation":false,"usgs":true,"family":"Mebane","given":"Christopher","email":"cmebane@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":651033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":651034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Balistrieri, Laurie S. 0000-0002-6359-3849 balistri@usgs.gov","orcid":"https://orcid.org/0000-0002-6359-3849","contributorId":1406,"corporation":false,"usgs":true,"family":"Balistrieri","given":"Laurie","email":"balistri@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":651032,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70177917,"text":"70177917 - 2017 - Mangrove expansion and contraction at a poleward range limit: Climate extremes and land-ocean temperature gradients","interactions":[],"lastModifiedDate":"2017-01-03T16:09:01","indexId":"70177917","displayToPublicDate":"2016-10-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Mangrove expansion and contraction at a poleward range limit: Climate extremes and land-ocean temperature gradients","docAbstract":"<p><span>Within the context of climate change, there is a pressing need to better understand the ecological implications of changes in the frequency and intensity of climate extremes. Along subtropical coasts, less frequent and warmer freeze events are expected to permit freeze-sensitive mangrove forests to expand poleward and displace freeze-tolerant salt marshes. Here, our aim was to better understand the drivers of poleward mangrove migration by quantifying spatiotemporal patterns in mangrove range expansion and contraction across land-ocean temperature gradients. Our work was conducted in a freeze-sensitive mangrove-marsh transition zone that spans a land-ocean temperature gradient in one of the world's most wetland-rich regions (Mississippi River Deltaic Plain; Louisiana, USA). We used historical air temperature data (1893-2014), alternative future climate scenarios, and coastal wetland coverage data (1978-2011) to investigate spatiotemporal fluctuations and climate-wetland linkages. Our analyses indicate that changes in mangrove coverage have been controlled primarily by extreme freeze events (i.e., air temperatures below a threshold zone of -6.3 to -7.6 °C). We expect that in the past 121 years, mangrove range expansion and contraction has occurred across land-ocean temperature gradients. Mangrove resistance, resilience, and dominance were all highest in areas closer to the ocean where temperature extremes were buffered by large expanses of water and saturated soil. Under climate change, these areas will likely serve as local hotspots for mangrove dispersal, growth, range expansion, and displacement of salt marsh. Collectively, our results show that the frequency and intensity of freeze events across land-ocean temperature gradients greatly influences spatiotemporal patterns of range expansion and contraction of freeze-sensitive mangroves. We expect that, along subtropical coasts, similar processes govern the distribution and abundance of other freeze-sensitive organisms. In broad terms, our findings can be used to better understand and anticipate the ecological effects of changing winter climate extremes, especially within the transition zone between tropical and temperate climates.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.1625","usgsCitation":"Osland, M.J., Day, R.H., Hall, C., Brumfield, M.D., Dugas, J., and Jones, W.R., 2017, Mangrove expansion and contraction at a poleward range limit: Climate extremes and land-ocean temperature gradients: Ecology, v. 98, no. 1, p. 125-137, https://doi.org/10.1002/ecy.1625.","productDescription":"13 p.","startPage":"125","endPage":"137","ipdsId":"IP-071497","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":330414,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93,\n              29.1\n            ],\n            [\n              -93,\n              30.6\n            ],\n            [\n              -89.3,\n              30.6\n            ],\n            [\n              -89.3,\n              29.1\n            ],\n            [\n              -93,\n              29.1\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"98","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-09","publicationStatus":"PW","scienceBaseUri":"5811c0f1e4b0f497e79a5a69","chorus":{"doi":"10.1002/ecy.1625","url":"http://dx.doi.org/10.1002/ecy.1625","publisher":"Wiley-Blackwell","authors":"Osland Michael J., Day Richard H., Hall Courtney T., Brumfield Marisa D., Dugas Jason L., Jones William R.","journalName":"Ecology","publicationDate":"12/9/2016","auditedOn":"12/17/2016","publiclyAccessibleDate":"12/9/2016"},"contributors":{"authors":[{"text":"Osland, Michael J. 0000-0001-9902-8692 mosland@usgs.gov","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":3080,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","email":"mosland@usgs.gov","middleInitial":"J.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":652221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day, Richard H. 0000-0002-5959-7054 dayr@usgs.gov","orcid":"https://orcid.org/0000-0002-5959-7054","contributorId":2427,"corporation":false,"usgs":true,"family":"Day","given":"Richard","email":"dayr@usgs.gov","middleInitial":"H.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":652222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hall, Courtney T. 0000-0003-0990-5212","orcid":"https://orcid.org/0000-0003-0990-5212","contributorId":176330,"corporation":false,"usgs":true,"family":"Hall","given":"Courtney T.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":652227,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brumfield, Marisa D","contributorId":176329,"corporation":false,"usgs":false,"family":"Brumfield","given":"Marisa","email":"","middleInitial":"D","affiliations":[],"preferred":false,"id":652224,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dugas, Jason 0000-0001-6094-7560 dugasj@usgs.gov","orcid":"https://orcid.org/0000-0001-6094-7560","contributorId":2996,"corporation":false,"usgs":true,"family":"Dugas","given":"Jason","email":"dugasj@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":652225,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jones, William R. 0000-0002-5493-4138 jonesb@usgs.gov","orcid":"https://orcid.org/0000-0002-5493-4138","contributorId":463,"corporation":false,"usgs":true,"family":"Jones","given":"William","email":"jonesb@usgs.gov","middleInitial":"R.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":652226,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70178194,"text":"70178194 - 2017 - Virulence and biodegradation potential of dynamic microbial communities associated with decaying <i>Cladophora</i> in Great Lakes","interactions":[],"lastModifiedDate":"2016-11-10T09:04:18","indexId":"70178194","displayToPublicDate":"2016-10-14T12:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Virulence and biodegradation potential of dynamic microbial communities associated with decaying <i>Cladophora</i> in Great Lakes","docAbstract":"<p><i>Cladophora</i><span> mats that accumulate and decompose along shorelines of the Great Lakes create potential threats to the health of humans and wildlife. The decaying algae create a low oxygen and redox potential environment favoring growth and persistence of anaerobic microbial populations, including </span><i>Clostridium botulinum</i><span>, the causal agent of botulism in humans, birds, and other wildlife. In addition to the diverse population of microbes, a dynamic chemical environment is generated, which involves production of numerous organic and inorganic substances, many of which are believed to be toxic to the sand and aquatic biotic communities. In this study, we used 16S-rDNA-based-amplicon sequencing and microfluidic-based quantitative PCR approaches to characterize the bacterial community structure and the abundances of human pathogens associated with </span><i>Cladophora</i><span> at different stages (up to 90&nbsp;days) of algal decay in laboratory microcosms. Oxygen levels were largely depleted after a few hours of incubation. As </span><i>Cladophora</i><span> decayed, the algal microbial biodiversity decreased within 24&nbsp;h, and the mat transitioned from an aerobic to anaerobic environment. There were increasing abundances of enteric and pathogenic bacteria during decomposition of </span><i>Cladophora</i><span>, including </span><i>Acinetobacter</i><span>, </span><i>Enterobacter</i><span>, </span><i>Kluyvera</i><span>, </span><i>Cedecea</i><span>, and others. In contrast, there were no or very few sequences (&lt;&nbsp;0.07%) assigned to such groups in fresh </span><i>Cladophora</i><span> samples. Principal coordinate analysis indicated that the bacterial community structure was dynamic and changed significantly with decay time. Knowledge of microbial communities and chemical composition of decaying algal mats is critical to our further understanding of the role that </span><i>Cladophora</i><span> plays in a beach ecosystem's structure and function, including the algal role in trophic interactions. Based on these findings, public and environmental health concerns should be considered when decaying </span><i>Cladophora</i><span> mats accumulate Great Lakes shorelines.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2016.09.107","usgsCitation":"Chun, C.L., Peller, J.R., Shively, D., Byappanahalli, M.N., Whitman, R.L., Staley, C., Zhang, Q., Ishii, S., and Sadowsky, M.J., 2017, Virulence and biodegradation potential of dynamic microbial communities associated with decaying <i>Cladophora</i> in Great Lakes: Science of the Total Environment, v. 574, p. 872-880, https://doi.org/10.1016/j.scitotenv.2016.09.107.","productDescription":"9 p.","startPage":"872","endPage":"880","numberOfPages":"9","ipdsId":"IP-077107","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":330830,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Lakes","volume":"574","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5821a0d8e4b02f1a881de94b","contributors":{"authors":[{"text":"Chun, Chan Lan","contributorId":43251,"corporation":false,"usgs":false,"family":"Chun","given":"Chan","email":"","middleInitial":"Lan","affiliations":[{"id":12644,"text":"University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":653218,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peller, Julie R.","contributorId":48889,"corporation":false,"usgs":false,"family":"Peller","given":"Julie","email":"","middleInitial":"R.","affiliations":[{"id":12645,"text":"Indiana University - Northwest","active":true,"usgs":false}],"preferred":false,"id":653219,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shively, Dawn","contributorId":93014,"corporation":false,"usgs":true,"family":"Shively","given":"Dawn","affiliations":[],"preferred":false,"id":653220,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Byappanahalli, Muruleedhara N. byappan@usgs.gov","contributorId":139462,"corporation":false,"usgs":true,"family":"Byappanahalli","given":"Muruleedhara","email":"byappan@usgs.gov","middleInitial":"N.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":653221,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whitman, Richard L. rwhitman@usgs.gov","contributorId":542,"corporation":false,"usgs":true,"family":"Whitman","given":"Richard","email":"rwhitman@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":653222,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Staley, Christopher","contributorId":176712,"corporation":false,"usgs":false,"family":"Staley","given":"Christopher","email":"","affiliations":[{"id":12930,"text":"BioTechnology Institute, University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":653223,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhang, Qian 0000-0003-0500-5655","orcid":"https://orcid.org/0000-0003-0500-5655","contributorId":174393,"corporation":false,"usgs":false,"family":"Zhang","given":"Qian","email":"","affiliations":[{"id":38802,"text":"University of Maryland Center for Environmental Studies","active":true,"usgs":false}],"preferred":false,"id":653224,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ishii, Satoshi","contributorId":8741,"corporation":false,"usgs":true,"family":"Ishii","given":"Satoshi","affiliations":[],"preferred":false,"id":653225,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sadowsky, Michael J.","contributorId":34003,"corporation":false,"usgs":false,"family":"Sadowsky","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":12644,"text":"University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":653226,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70177946,"text":"70177946 - 2017 - Maternal androgens in avian brood parasites and their hosts: responses to parasitism and competition?","interactions":[],"lastModifiedDate":"2016-11-10T09:08:36","indexId":"70177946","displayToPublicDate":"2016-10-13T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1738,"text":"General and Comparative Endocrinology","active":true,"publicationSubtype":{"id":10}},"title":"Maternal androgens in avian brood parasites and their hosts: responses to parasitism and competition?","docAbstract":"In the coevolutionary dynamic of avian brood parasites and their hosts, maternal (or transgenerational) effects have rarely been investigated. We examined the potential role of elevated yolk testosterone in eggs of the principal brood parasite in North America, the brown-headed cowbird, and three of its frequent host species. Elevated maternal androgens in eggs are a common maternal effect observed in many avian species when breeding conditions are unfavorable. These steroids accelerate embryo development, shorten incubation period, increase nestling growth rate, and enhance begging vigor, all traits that can increase the survival of offspring. We hypothesized that elevated maternal androgens in host eggs are a defense against brood parasitism. Our second hypothesis was that elevated maternal androgens in cowbird eggs are a defense against intra-specific competition. For host species, we found that elevated yolk testosterone was correlated with parasitized nests of small species, those whose nest success is most reduced by cowbird parasitism. For cowbirds, we found that elevated yolk testosterone was correlated with eggs in multiply-parasitized nests, which indicate intra-specific competition for nests due to high cowbird density. We propose experimental work to further examine the use of maternal effects by cowbirds and their hosts.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ygcen.2016.10.004","usgsCitation":"Hahn, C., Wingfield, J.C., Fox, D.M., Walker, B.G., and Thomley, J.E., 2017, Maternal androgens in avian brood parasites and their hosts: responses to parasitism and competition?: General and Comparative Endocrinology, v. 240, p. 143-152, https://doi.org/10.1016/j.ygcen.2016.10.004.","productDescription":"10 p.","startPage":"143","endPage":"152","ipdsId":"IP-065676","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470213,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ygcen.2016.10.004","text":"Publisher Index Page"},{"id":330586,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"240","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58185828e4b0bb36a4c6f9f5","contributors":{"authors":[{"text":"Hahn, Caldwell 0000-0002-5242-2059 chahn@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2059","contributorId":3203,"corporation":false,"usgs":true,"family":"Hahn","given":"Caldwell","email":"chahn@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":652449,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wingfield, John C.","contributorId":176474,"corporation":false,"usgs":false,"family":"Wingfield","given":"John","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":652450,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fox, David M.","contributorId":176475,"corporation":false,"usgs":false,"family":"Fox","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":652451,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walker, Brian G.","contributorId":176476,"corporation":false,"usgs":false,"family":"Walker","given":"Brian","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":652452,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thomley, Jill E","contributorId":176477,"corporation":false,"usgs":false,"family":"Thomley","given":"Jill","email":"","middleInitial":"E","affiliations":[],"preferred":false,"id":652453,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70177060,"text":"70177060 - 2017 - Analysis of local slopes at the InSight landing site on Mars","interactions":[],"lastModifiedDate":"2017-10-16T14:31:07","indexId":"70177060","displayToPublicDate":"2016-10-11T13:15:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3454,"text":"Space Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of local slopes at the InSight landing site on Mars","docAbstract":"<p><span>To evaluate the topography of the surface within the InSight candidate landing ellipses, we generated Digital Terrain Models (DTMs) at lander scales and those appropriate for entry, descent, and landing simulations, along with orthoimages of both images in each stereopair, and adirectional slope images. These products were used to assess the distribution of slopes for each candidate ellipse and terrain type in the landing site region, paying particular attention to how these slopes impact InSight landing and engineering safety, and results are reported here. Overall, this region has extremely low slopes at 1-meter baseline scales and meets the safety constraints of the InSight lander. The majority of the landing ellipse has a mean slope at 1-meter baselines of 3.2°. In addition, a&nbsp;mosaic of HRSC, CTX, and HiRISE DTMs within the final landing ellipse (ellipse&nbsp;9) was generated to support entry, descent, and landing simulations and evaluations. Several methods were tested to generate this mosaic and the NASA Ames Stereo Pipeline program&nbsp;</span><i class=\"EmphasisTypeItalic \">dem_mosaic</i><span><span>&nbsp;</span>produced the best results. For the HRSC-CTX-HiRISE DTM mosaic, more than 99&nbsp;% of the mosaic has slopes less than 15°, and the introduction of artificially high slopes along image seams was minimized.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11214-016-0292-x","usgsCitation":"Fergason, R.L., Kirk, R.L., Cushing, G.E., Galuszka, D.M., Golombek, M.P., Hare, T.M., Howington-Kraus, E., Kipp, D.M., and Redding, B.L., 2017, Analysis of local slopes at the InSight landing site on Mars: Space Science Reviews, v. 211, no. 1-4, p. 109-133, https://doi.org/10.1007/s11214-016-0292-x.","productDescription":"25 p.","startPage":"109","endPage":"133","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-076541","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":329758,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"211","issue":"1-4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-11","publicationStatus":"PW","scienceBaseUri":"58088687e4b0f497e78e24c9","contributors":{"authors":[{"text":"Fergason, Robin L. 0000-0002-2044-1714 rfergason@usgs.gov","orcid":"https://orcid.org/0000-0002-2044-1714","contributorId":2753,"corporation":false,"usgs":true,"family":"Fergason","given":"Robin","email":"rfergason@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":651163,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":651164,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cushing, Glen E. 0000-0002-9673-8207 gcushing@usgs.gov","orcid":"https://orcid.org/0000-0002-9673-8207","contributorId":175449,"corporation":false,"usgs":true,"family":"Cushing","given":"Glen","email":"gcushing@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":651165,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Galuszka, Donna M. 0000-0003-1870-1182 dgaluszka@usgs.gov","orcid":"https://orcid.org/0000-0003-1870-1182","contributorId":3186,"corporation":false,"usgs":true,"family":"Galuszka","given":"Donna","email":"dgaluszka@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":651169,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Golombek, Matthew P.","contributorId":175450,"corporation":false,"usgs":false,"family":"Golombek","given":"Matthew","email":"","middleInitial":"P.","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":651167,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":651166,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Howington-Kraus, Elpitha 0000-0001-5787-6554 ahowington@usgs.gov","orcid":"https://orcid.org/0000-0001-5787-6554","contributorId":2815,"corporation":false,"usgs":true,"family":"Howington-Kraus","given":"Elpitha","email":"ahowington@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":651168,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kipp, Devin M","contributorId":175451,"corporation":false,"usgs":false,"family":"Kipp","given":"Devin","email":"","middleInitial":"M","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":651170,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Redding, Bonnie L. 0000-0001-8178-1467 bredding@usgs.gov","orcid":"https://orcid.org/0000-0001-8178-1467","contributorId":4798,"corporation":false,"usgs":true,"family":"Redding","given":"Bonnie","email":"bredding@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":651171,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70176843,"text":"70176843 - 2017 - Retrospective analysis of the epidemiologic literature, 1990–2015, on wildlife-associated diseases from the Republic of Korea","interactions":[],"lastModifiedDate":"2017-01-13T15:20:15","indexId":"70176843","displayToPublicDate":"2016-10-11T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Retrospective analysis of the epidemiologic literature, 1990–2015, on wildlife-associated diseases from the Republic of Korea","docAbstract":"<p><span>To assess the status of research on wildlife diseases in the Republic of Korea (ROK) and to identify trends, knowledge gaps, and directions for future research, we reviewed epidemiologic publications on wildlife-associated diseases in the ROK. We identified a relatively small but rapidly increasing body of literature. The majority of publications were focused on public or livestock health and relatively few addressed wildlife health. Most studies that focused on human and livestock health were cross-sectional whereas wildlife health studies were mostly case reports. Fifteen diseases notifiable to the World Organisation for Animal Health were identified and 21 diseases were identified as notifiable to either the Korean Ministry of Health, Welfare, and Family Affairs or the Korean Ministry of Agriculture. Two diseases were reported as occurring as epidemics; highly pathogenic avian influenza (HPAI) and virulent Newcastle disease. Six diseases or disease agents were described in the literature as emerging including HPAI, rabies, </span><i><i>Babesia microti</i></i><span>, avian coronaviruses, scrub typhus, and severe fever thrombocytopenia syndrome virus. The diseases for which there were the largest number of publications were HPAI and rabies. The majority of wildlife-associated zoonotic disease publications focused on food-borne parasitic infections or rodent-associated diseases. Several publications focused on the potential of wildlife as reservoirs of livestock diseases; in particular, water deer (</span><i><i>Hydropotes inermis</i></i><span>) and wild boar (</span><i><i>Sus scrofa</i></i><span>). In contrast, there were few publications on diseases of concern for wildlife populations or research to understand the impacts of these diseases for wildlife management. Increased focus on prospective studies would enhance understanding of disease dynamics in wildlife populations. For the high-consequence diseases that impact multiple sectors, a One Health approach, with coordination among the public health, agricultural, and environmental sectors, would be important. This type of review can provide useful information for countries or regions planning or implementing national wildlife health programs.</span></p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2015-12-348","usgsCitation":"Hwang, J., Lee, K., Kim, Y., Sleeman, J.M., and Lee, H., 2017, Retrospective analysis of the epidemiologic literature, 1990–2015, on wildlife-associated diseases from the Republic of Korea: Journal of Wildlife Diseases, v. 53, no. 1, p. 5-18, https://doi.org/10.7589/2015-12-348.","productDescription":"14 p.","startPage":"5","endPage":"18","ipdsId":"IP-071589","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":329421,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Korea","volume":"53","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57fe679be4b0824b2d143701","contributors":{"authors":[{"text":"Hwang, Jusun","contributorId":175221,"corporation":false,"usgs":false,"family":"Hwang","given":"Jusun","email":"","affiliations":[{"id":27539,"text":"College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea","active":true,"usgs":false}],"preferred":false,"id":650488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Kyunglee","contributorId":175223,"corporation":false,"usgs":false,"family":"Lee","given":"Kyunglee","email":"","affiliations":[{"id":27540,"text":"Cetacean Research Institute, National Fisheries Research and Development Institute, Ulsan, Republic of Korea","active":true,"usgs":false}],"preferred":false,"id":650490,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kim, Young-Jun","contributorId":175224,"corporation":false,"usgs":false,"family":"Kim","given":"Young-Jun","email":"","affiliations":[{"id":27541,"text":"Department of Veterinary Medicine, National Institute of Ecology, Geumgangro 1210, Maseo-myeon, Seocheon-gun, Chungnam-Do, Republic of Korea","active":true,"usgs":false}],"preferred":false,"id":650491,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sleeman, Jonathan M. 0000-0002-9910-6125 jsleeman@usgs.gov","orcid":"https://orcid.org/0000-0002-9910-6125","contributorId":128,"corporation":false,"usgs":true,"family":"Sleeman","given":"Jonathan","email":"jsleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":82110,"text":"Midcontinent Regional Director's Office","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":650487,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lee, Hang","contributorId":175222,"corporation":false,"usgs":false,"family":"Lee","given":"Hang","affiliations":[{"id":27539,"text":"College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea","active":true,"usgs":false}],"preferred":false,"id":650489,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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