{"pageNumber":"1010","pageRowStart":"25225","pageSize":"25","recordCount":165504,"records":[{"id":70193725,"text":"70193725 - 2016 - Shallow and deep controls on lava lake surface motion at Kīlauea Volcano","interactions":[],"lastModifiedDate":"2017-11-04T13:15:12","indexId":"70193725","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Shallow and deep controls on lava lake surface motion at Kīlauea Volcano","docAbstract":"<p>Lava lakes provide a rare window into magmatic behavior, and lake surface motion has been used to infer deeper properties of the magmatic system. At Halema'uma'u Crater, at the summit of Kīlauea Volcano, multidisciplinary observations for the past several years indicate that lava lake surface motion can be broadly divided into two regimes: 1) stable and 2) unstable. Stable behavior is driven by lava upwelling from deeper in the lake (presumably directly from the conduit) and is an intrinsic process that drives lava lake surface motion most of the time. This stable behavior can be interrupted by periods of unstable flow (often reversals) driven by spattering – a shallowly-rooted process often extrinsically triggered by small rockfalls from the crater wall. The bursting bubbles at spatter sources create void spaces and a localized surface depression which draws and consumes surrounding surface crust. Spattering is therefore a location of lava downwelling, not upwelling. Stable (i.e. deep, upwelling-driven) and unstable (i.e. shallow, spattering-driven) behavior often alternate through time, have characteristic surface velocities, flow directions and surface temperature regimes, and also correspond to changes in spattering intensity, outgassing rates, lava level and seismic tremor. These results highlight that several processes, originating at different depths, can control the motion of the lava lake surface, and long-term interdisciplinary monitoring is required to separate these influences. These observations indicate that lake surface motion is not always a reliable proxy for deeper lake or magmatic processes. From these observations, we suggest that shallow outgassing (spattering), not lake convection, drives the variations in lake motion reported at Erta 'Ale lava lake.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2016.11.010","usgsCitation":"Patrick, M.R., Orr, T.R., Swanson, D., and Lev, E., 2016, Shallow and deep controls on lava lake surface motion at Kīlauea Volcano: Journal of Volcanology and Geothermal Research, v. 328, p. 247-261, https://doi.org/10.1016/j.jvolgeores.2016.11.010.","productDescription":"14 p.","startPage":"247","endPage":"261","ipdsId":"IP-070597","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":470375,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2016.11.010","text":"Publisher Index Page"},{"id":348192,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Halema`uma`u Crater, Kīlauea Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.3070259094238,\n              19.38224724763325\n            ],\n            [\n              -155.22977828979492,\n              19.38224724763325\n            ],\n            [\n              -155.22977828979492,\n              19.446198036283963\n            ],\n            [\n              -155.3070259094238,\n              19.446198036283963\n            ],\n            [\n              -155.3070259094238,\n              19.38224724763325\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"328","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fedfb4e4b0531197b573c2","contributors":{"authors":[{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":720077,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orr, Tim R. 0000-0003-1157-7588 torr@usgs.gov","orcid":"https://orcid.org/0000-0003-1157-7588","contributorId":149803,"corporation":false,"usgs":true,"family":"Orr","given":"Tim","email":"torr@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":720078,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swanson, Don 0000-0002-1680-3591 donswan@usgs.gov","orcid":"https://orcid.org/0000-0002-1680-3591","contributorId":168817,"corporation":false,"usgs":true,"family":"Swanson","given":"Don","email":"donswan@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":720079,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lev, Einat 0000-0002-8174-0558","orcid":"https://orcid.org/0000-0002-8174-0558","contributorId":194355,"corporation":false,"usgs":false,"family":"Lev","given":"Einat","email":"","affiliations":[{"id":27369,"text":"Lamont-Doherty Earth Observatory at Columbia University","active":true,"usgs":false}],"preferred":false,"id":720080,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70184183,"text":"70184183 - 2016 - Topographic and fire weather controls of fire refugia in forested ecosystems of northwestern North America","interactions":[],"lastModifiedDate":"2018-03-27T09:54:46","indexId":"70184183","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Topographic and fire weather controls of fire refugia in forested ecosystems of northwestern North America","docAbstract":"Fire refugia, sometimes referred to as fire islands, shadows, skips, residuals, or fire remnants, are an important element of the burn mosaic, but we lack a quantitative framework that links observations of fire refugia from different environmental contexts. Here, we develop and test a conceptual model for how predictability of fire refugia varies according to topographic complexity and fire weather conditions. Refugia were quantified as areas unburned or burned at comparatively low severity based on remotely sensed burn severity data. We assessed the relationship between refugia and a suite of terrain-related explanatory metrics by fitting a collection of boosted regression tree models. The models were developed\nfor seven study fires that burned in conifer-dominated forested landscapes of the Western Cordillera of Canada between 2001 and 2014. We fit nine models, each for distinct levels of fire weather and terrain ruggedness. Our framework revealed that the predictability and abundance of fire refugia varied among these environmental settings. We observed highest predictability under moderate fire weather conditions and moderate terrain ruggedness (ROC-AUC = 0.77), and lowest predictability in flatter landscapes and under high fire weather conditions (ROC-AUC = 0.63–0.68). Catchment slope, local aspect, relative position, topographic wetness, topographic convergence, and local slope all contributed to discriminating where refugia occur but the relative importance of these topographic controls differed among environments. Our framework allows us to characterize the predictability of contemporary fire refugia across multiple environmental settings and provides important insights for ecosystem resilience, wildfire management, conservation planning, and climate change adaptation.","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.1632","usgsCitation":"Krawchuk, M.A., Haire, S.L., Coop, J.D., Parisien, M., Whitman, E., Chong, G.W., and Miller, C., 2016, Topographic and fire weather controls of fire refugia in forested ecosystems of northwestern North America: Ecosphere, v. 7, no. 12, p. 1-18, https://doi.org/10.1002/ecs2.1632.","productDescription":"18 p.","startPage":"1","endPage":"18","ipdsId":"IP-074382","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":462015,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1632","text":"Publisher Index Page"},{"id":336773,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-29","publicationStatus":"PW","scienceBaseUri":"58b7eba4e4b01ccd5500baeb","contributors":{"authors":[{"text":"Krawchuk, Meg A.","contributorId":187425,"corporation":false,"usgs":false,"family":"Krawchuk","given":"Meg","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":680389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haire, Sandra L.","contributorId":187426,"corporation":false,"usgs":false,"family":"Haire","given":"Sandra","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":680390,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coop, Jonathan D.","contributorId":187427,"corporation":false,"usgs":false,"family":"Coop","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":680391,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parisien, Marc-André","contributorId":187428,"corporation":false,"usgs":false,"family":"Parisien","given":"Marc-André","affiliations":[],"preferred":false,"id":680392,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whitman, Ellen","contributorId":187429,"corporation":false,"usgs":false,"family":"Whitman","given":"Ellen","email":"","affiliations":[],"preferred":false,"id":680393,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chong, Geneva W. 0000-0003-3883-5153 geneva_chong@usgs.gov","orcid":"https://orcid.org/0000-0003-3883-5153","contributorId":419,"corporation":false,"usgs":true,"family":"Chong","given":"Geneva","email":"geneva_chong@usgs.gov","middleInitial":"W.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":680388,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Miller, Carol","contributorId":187430,"corporation":false,"usgs":false,"family":"Miller","given":"Carol","email":"","affiliations":[],"preferred":false,"id":680394,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70182771,"text":"70182771 - 2016 - Evolutionary traps as keys to understanding behavioral maladaptation","interactions":[],"lastModifiedDate":"2017-03-01T12:36:53","indexId":"70182771","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5307,"text":"Current Opinion in Behavioral Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Evolutionary traps as keys to understanding behavioral maladaptation","docAbstract":"<p><span>Evolutionary traps are severe cases of behavioral maladaptation that occur when, due to human activity, the cues animals use to guide their behavior become uncoupled from their fitness consequences. The result is that animals can prefer the most dangerous resources or behaviors, even when better options are available. Traps are increasingly common and represent a significant wildlife conservation problem. Understanding of the more proximate sensory-cognitive mechanisms underpinning traps remains poor, which highlights the need for interdisciplinary and collaborative approaches to investigating traps. Key to advancing basic trap theory and its conservation applications will be the development of appropriate and tractable model systems to investigate the mechanisms that cause traps within species, and how mechanisms vary across species.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.cobeha.2016.08.007","usgsCitation":"Robertson, B.A., and Chalfoun, A., 2016, Evolutionary traps as keys to understanding behavioral maladaptation: Current Opinion in Behavioral Sciences, v. 12, p. 12-17, https://doi.org/10.1016/j.cobeha.2016.08.007.","productDescription":"6 p.","startPage":"12","endPage":"17","ipdsId":"IP-074196","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":336749,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b7eba5e4b01ccd5500baef","contributors":{"authors":[{"text":"Robertson, Bruce A.","contributorId":171947,"corporation":false,"usgs":false,"family":"Robertson","given":"Bruce","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":680422,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chalfoun, Anna","contributorId":184161,"corporation":false,"usgs":true,"family":"Chalfoun","given":"Anna","affiliations":[],"preferred":false,"id":673693,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70184187,"text":"70184187 - 2016 - Summary of SPT based field case history data of CETIN (2016) database","interactions":[],"lastModifiedDate":"2017-03-16T12:09:49","indexId":"70184187","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesNumber":"METU / GTENG 08/16-01","title":"Summary of SPT based field case history data of CETIN (2016) database","docAbstract":"<p>This report provides documentation of the Cetin et al. (2016) field performance case histories, probabilistic maximum likelihood assessment and the sources of differences between the liquefaction triggering resistance estimations (CRR values) of the widely used liquefaction triggering relationships of Seed et al. (1985), Cetin et al. (2004, 2016) and Boulanger and Idriss (2012). </p><p>Cetin et al. (2016-a) presented a concise summary of the improved database and the updated triggering relationships. For the sake of completeness, as part of Chapter 2 of this report, Cetin et al. (2016-a) manuscript is re-presented, as edited to include the electronic supplements, and a broader and more detailed documentation of all of case histories. This broader and more detailed documentation along with the interpretations of other researchers is presented in Appendix A. Similarly, site response analyses details and results from Cetin (2000) is re-presented in Appendix B. To enable the readers to quickly refer to Cetin and Seed (2004), it is also included in Appendix C. </p><p>The sources of differences between the liquefaction triggering resistance estimations (CRR values) of the widely used liquefaction triggering relationships of Seed et al. (1985), Cetin et al. (2004) and Boulanger and Idriss (2012) were discussed in Cetin et al. (2016-b). Again, for the sake of completeness, as part of Chapter 3 of this report, Cetin et al. (2016-b) manuscript is re-presented, as edited to the include of electronic supplements, and a detailed response to issues addressed by Idriss and Boulanger (2012). Also, the technical response letter (Cetin, 2014) prepared at the request of the members of the NRC Committee on the State of the Art and Practice in Earthquake Induced Soil Liquefaction Assessment, is given in Appendix D, which is helpful to follow the technical discussions. </p><p>This report is intended only as a concise summary of a vast amount of data. The interpretations presented are those of the research team. A more detailed description of some of the details of the methods and procedures used to evaluate and analyze these field performance case histories is also presented in Cetin (2000) and Cetin et al. (2000) though the final evaluations presented in this report are the most recent interpretations undertaken under these current studies. </p>","language":"English","publisher":"Middle East Technical University","usgsCitation":"Onder Cetin, K., Seed, R., Kayen, R., Moss, R., Bilge, H.T., Ilgac, M., and Chowdhury, K., 2016, Summary of SPT based field case history data of CETIN (2016) database, ii, 120 p., Appendices.","productDescription":"ii, 120 p., Appendices","numberOfPages":"703","ipdsId":"IP-072851","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":337737,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58cba41ae4b0849ce97dc740","contributors":{"authors":[{"text":"Onder Cetin, K.","contributorId":189414,"corporation":false,"usgs":false,"family":"Onder Cetin","given":"K.","email":"","affiliations":[],"preferred":false,"id":684771,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seed, Raymond B.","contributorId":62162,"corporation":false,"usgs":true,"family":"Seed","given":"Raymond B.","affiliations":[],"preferred":false,"id":684772,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kayen, Robert E. rkayen@usgs.gov","contributorId":2787,"corporation":false,"usgs":true,"family":"Kayen","given":"Robert E.","email":"rkayen@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":684773,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moss, Robb E. S.","contributorId":146591,"corporation":false,"usgs":false,"family":"Moss","given":"Robb E. S.","affiliations":[{"id":16725,"text":"California Polytechnic State University, San Luis Obispo","active":true,"usgs":false}],"preferred":false,"id":684774,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bilge, H. Tolga","contributorId":189416,"corporation":false,"usgs":false,"family":"Bilge","given":"H.","email":"","middleInitial":"Tolga","affiliations":[],"preferred":false,"id":684775,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ilgac, Makbule","contributorId":189417,"corporation":false,"usgs":false,"family":"Ilgac","given":"Makbule","affiliations":[],"preferred":false,"id":684776,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chowdhury, Khaled","contributorId":189418,"corporation":false,"usgs":false,"family":"Chowdhury","given":"Khaled","affiliations":[],"preferred":false,"id":684777,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70182518,"text":"70182518 - 2016 - Hanging out at the airport: Unusual upside-down perching behavior by Eurasian Jackdaws (Corvus monedula) in a human-dominated environment","interactions":[],"lastModifiedDate":"2018-03-26T11:49:17","indexId":"70182518","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Hanging out at the airport: Unusual upside-down perching behavior by Eurasian Jackdaws (<i>Corvus monedula</i>) in a human-dominated environment","title":"Hanging out at the airport: Unusual upside-down perching behavior by Eurasian Jackdaws (Corvus monedula) in a human-dominated environment","docAbstract":"<p><span>Animals occupying human-dominated environments show the capacity for behavioral flexibility. Corvids are among the most intelligent synanthropic bird species. During a layover at Schipol Airport in Amsterdam, Netherlands, I photographically documented Eurasian Jackdaws (</span><i><i>Corvus monedula</i>)</i><span> perching upside down from a building cornice. In contrast to other reports of hanging birds, these jackdaws did not forage or play while upside down and appeared to use the perching spot to observe their surroundings. Although Corvids and Psittacines are known to hang upside down, especially in captive situations, such behaviors are rarely documented in the wild, and never before in association with human-built structures.</span></p>","language":"English","publisher":"The Wilson Ornithological Society","doi":"10.1676/15-211.1","usgsCitation":"Katzner, T., 2016, Hanging out at the airport: Unusual upside-down perching behavior by Eurasian Jackdaws (Corvus monedula) in a human-dominated environment: Wilson Journal of Ornithology, v. 128, no. 4, p. 926-930, https://doi.org/10.1676/15-211.1.","productDescription":"5 p.","startPage":"926","endPage":"930","ipdsId":"IP-071449","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":336169,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"128","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b15439e4b01ccd54fc5e9f","contributors":{"authors":[{"text":"Katzner, Todd E.","contributorId":18893,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","affiliations":[],"preferred":false,"id":671386,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70193722,"text":"70193722 - 2016 - A new strategy for earthquake focal mechanisms using waveform-correlation-derived relative polarities and cluster analysis: Application to the 2014 Long Valley Caldera earthquake swarm","interactions":[],"lastModifiedDate":"2017-11-04T13:27:11","indexId":"70193722","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"A new strategy for earthquake focal mechanisms using waveform-correlation-derived relative polarities and cluster analysis: Application to the 2014 Long Valley Caldera earthquake swarm","docAbstract":"<p>In microseismicity analyses, reliable focal mechanisms can typically be obtained for only a small subset of located events. We address this limitation here, presenting a framework for determining robust focal mechanisms for entire populations of very small events. To achieve this, we resolve relative <i>P</i> and <i>S</i> wave polarities between pairs of waveforms by using their signed correlation coefficients—a by-product of previously performed precise earthquake relocation. We then use cluster analysis to group events with similar patterns of polarities across the network. Finally, we apply a standard mechanism inversion to the grouped data, using either catalog or correlation-derived <i>P</i> wave polarity data sets. This approach has great potential for enhancing analyses of spatially concentrated microseismicity such as earthquake swarms, mainshock-aftershock sequences, and industrial reservoir stimulation or injection-induced seismic sequences. To demonstrate its utility, we apply this technique to the 2014 Long Valley Caldera earthquake swarm. In our analysis, 85% of the events (7212 out of 8494 located by <i>Shelly et al</i>. [2016]) fall within five well-constrained mechanism clusters, more than 12 times the number with network-determined mechanisms. Of the earthquakes we characterize, 3023 (42%) have magnitudes smaller than 0.0. We find that mechanism variations are strongly associated with corresponding hypocentral structure, yet mechanism heterogeneity also occurs where it cannot be resolved by hypocentral patterns, often confined to small-magnitude events. Small (5–20°) rotations between mechanism orientations and earthquake location trends persist when we apply 3-D velocity models and might reflect a geometry of en echelon, interlinked shear, and dilational faulting.</p>","language":"English","publisher":"AGU","doi":"10.1002/2016JB013437","usgsCitation":"Shelly, D.R., Hardebeck, J.L., Ellsworth, W.L., and Hill, D.P., 2016, A new strategy for earthquake focal mechanisms using waveform-correlation-derived relative polarities and cluster analysis: Application to the 2014 Long Valley Caldera earthquake swarm: Journal of Geophysical Research B: Solid Earth, v. 121, no. 12, p. 8622-8641, https://doi.org/10.1002/2016JB013437.","productDescription":"20 p.","startPage":"8622","endPage":"8641","ipdsId":"IP-078358","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":348194,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Long Valley Caldera","volume":"121","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-03","publicationStatus":"PW","scienceBaseUri":"59fedfb4e4b0531197b573c4","contributors":{"authors":[{"text":"Shelly, David R. dshelly@usgs.gov","contributorId":2978,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":720060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hardebeck, Jeanne L. 0000-0002-6737-7780 jhardebeck@usgs.gov","orcid":"https://orcid.org/0000-0002-6737-7780","contributorId":841,"corporation":false,"usgs":true,"family":"Hardebeck","given":"Jeanne","email":"jhardebeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":720061,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellsworth, William L. ellsworth@usgs.gov","contributorId":787,"corporation":false,"usgs":true,"family":"Ellsworth","given":"William","email":"ellsworth@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":720062,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hill, David P. hill@usgs.gov","contributorId":2600,"corporation":false,"usgs":true,"family":"Hill","given":"David","email":"hill@usgs.gov","middleInitial":"P.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":720063,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70178258,"text":"70178258 - 2016 - Using large-scale flow experiments to rehabilitate Colorado River ecosystem function in Grand Canyon: Basis for an adaptive climate-resilient strategy","interactions":[],"lastModifiedDate":"2020-08-27T15:36:52.359768","indexId":"70178258","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"17","title":"Using large-scale flow experiments to rehabilitate Colorado River ecosystem function in Grand Canyon: Basis for an adaptive climate-resilient strategy","docAbstract":"<p>Adaptive management of Glen Canyon Dam is improving downstream resources of the Colorado River in Glen Canyon National Recreation Area and Grand Canyon National Park. The Glen Canyon Dam Adaptive Management Program (AMP), a federal advisory committee of 25 members with diverse special interests tasked to advise the U.S. Department of the Interior), was established in 1997 in response to the 1992 Grand Canyon Protection Act. Adaptive management assumes that ecosystem responses to management policies are inherently complex and unpredictable, but that understanding and management can be improved through monitoring. Best known for its high-flow experiments intended to benefit physical and biological resources by simulating one aspect of pre-dam conditions—floods, the AMP promotes collaboration among tribal, recreation, hydropower, environmental, water and other natural resource management interests. Monitoring has shown that high flow experiments move limited new tributary sand inputs below the dam from the bottom of the Colorado River to shorelines; rebuilding eroded sandbars that support camping areas and other natural and cultural resources. Spring-timed high flows have also been shown to stimulate aquatic productivity by disturbing the river bed below the dam in Glen Canyon. Understanding about how nonnative tailwater rainbow trout (<i>Oncorhynchus mykiss</i>), and downstream endangered humpback chub (<i>Gila cypha</i>) respond to dam operations has also increased, but this learning has mostly posed “surprise” adaptation opportunities to managers. Since reoperation of the dam to Modified Low Fluctuating Flows in 1996, rainbow trout now benefit from more stable daily flows and high spring releases, but possibly at a risk to humpback chub and other native fishes downstream. In contrast, humpback chub have so far proven robust to all flows, and native fish have increased under the combination of warmer river temperatures associated with reduced storage in Lake Powell, and a system-wide reduction in trout from 2000-06, possibly due to several years of natural reproduction under limited food supply. Uncertainties about dam operations and ecosystem responses remain, including how native and nonnative fish will interact and respond to possible increased river temperatures under drier basin conditions. Ongoing assessment of operating policies by the AMP’s diverse stakeholders represents a major commitment to the river’s valued resources, while surprise learning opportunities can also help identify a resilient climate-change strategy for co-managing nonnative and endangered native fish, sandbar habitats and other river resources in a region with already complex and ever-increasing water demands.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Water policy and planning in a variable and changing climate","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press - Taylor and Francis Group","usgsCitation":"Melis, T., Pine, W.E., Korman, J., Yard, M., Jain, S., and Pulwarty, R.S., 2016, Using large-scale flow experiments to rehabilitate Colorado River ecosystem function in Grand Canyon: Basis for an adaptive climate-resilient strategy, chap. 17 <i>of</i> Water policy and planning in a variable and changing climate, p. 315-345.","productDescription":"31 p.","startPage":"315","endPage":"345","ipdsId":"IP-081318","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":335454,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":335453,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.crcpress.com/Water-Policy-and-Planning-in-a-Variable-and-Changing-Climate/Miller-Hamlet-Kenney-Redmond/p/book/9781482227970"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.7197265625,\n              35.68407153314097\n            ],\n            [\n              -111.588134765625,\n              35.68407153314097\n            ],\n            [\n              -111.588134765625,\n              36.54053616262899\n            ],\n            [\n              -112.7197265625,\n              36.54053616262899\n            ],\n            [\n              -112.7197265625,\n              35.68407153314097\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58a576c2e4b057081a24ed53","contributors":{"editors":[{"text":"Miller, Kathleen","contributorId":176765,"corporation":false,"usgs":false,"family":"Miller","given":"Kathleen","email":"","affiliations":[],"preferred":false,"id":669250,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Hamlet, Alan F.","contributorId":15529,"corporation":false,"usgs":true,"family":"Hamlet","given":"Alan","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":669251,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Kenney, Douglas S.","contributorId":181736,"corporation":false,"usgs":false,"family":"Kenney","given":"Douglas","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":669252,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Redmond, Kelly T.","contributorId":45677,"corporation":false,"usgs":true,"family":"Redmond","given":"Kelly","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":669253,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Melis, Theodore S. 0000-0003-0473-3968 tmelis@usgs.gov","orcid":"https://orcid.org/0000-0003-0473-3968","contributorId":1829,"corporation":false,"usgs":true,"family":"Melis","given":"Theodore S.","email":"tmelis@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":669244,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pine, William E. III","contributorId":139959,"corporation":false,"usgs":false,"family":"Pine","given":"William","suffix":"III","email":"","middleInitial":"E.","affiliations":[{"id":13332,"text":"Uni. of Florida Department of Wildlife Ecology and Conservation","active":true,"usgs":false}],"preferred":false,"id":669245,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Korman, Josh","contributorId":139960,"corporation":false,"usgs":false,"family":"Korman","given":"Josh","email":"","affiliations":[{"id":13333,"text":"Ecometric Research Inc.","active":true,"usgs":false}],"preferred":false,"id":669246,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yard, Michael D. 0000-0002-6580-6027 myard@usgs.gov","orcid":"https://orcid.org/0000-0002-6580-6027","contributorId":2889,"corporation":false,"usgs":true,"family":"Yard","given":"Michael D.","email":"myard@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":669247,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jain, Shaleen","contributorId":181735,"corporation":false,"usgs":false,"family":"Jain","given":"Shaleen","email":"","affiliations":[],"preferred":false,"id":669248,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pulwarty, Roger S.","contributorId":30715,"corporation":false,"usgs":true,"family":"Pulwarty","given":"Roger","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":669249,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70179546,"text":"70179546 - 2016 - Perspectives on bay-delta science and policy","interactions":[],"lastModifiedDate":"2017-10-30T09:40:23","indexId":"70179546","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Perspectives on bay-delta science and policy","docAbstract":"<p>The State of Bay–Delta Science 2008 highlighted seven emerging perspectives on science and management of the Delta. These perspectives had important effects on policy and legislation concerning management of the Delta ecosystem and water exports. From the collection of papers that make up the State of Bay–Delta Science 2016, we derive another seven perspectives that augment those published in 2008. The new perspectives address nutrient and contaminant&nbsp;concentrations in Delta waters, the failure of the Delta food web to support native species, the role of multiple stressors in driving species toward extinction, and the emerging importance of extreme events in driving change in the ecosystem and the water supply. The scientific advances that underpin these new perspectives were made possible by new measurement and analytic tools. We briefly discuss some of these, including miniaturized acoustic fish tags, sensors for monitoring of water quality, analytic techniques for disaggregating complex contaminant mixtures, remote sensing to assess levee vulnerability, and multidimensional hydrodynamic modeling. Despite these new tools and scientific insights, species conservation objectives for the Delta are not being met. We believe that this lack of progress stems in part from the fact that science and policy do not incorporate sufficiently long-term perspectives. Looking forward half a century was central to the Delta Visioning process, but science and policy have not embraced this conceptual breadth. We are also concerned that protection and enhancement of the unique cultural, recreational, natural resource, and agricultural values of the Delta as an evolving place, as required by the Delta Reform Act, has received no critical study and analysis. Adopting wider and longer science and policy perspectives immediately encourages recognition of the need for evaluation, analysis, and public discourse on novel conservation approaches. These longer and wider perspectives also encourage more attention to the opportunities provided by heavily invaded ecosystems. It is past time to turn scientific and policy attention to these issues. </p>","language":"English","publisher":"University of California","doi":"10.15447/sfews.2016v14iss4art6","usgsCitation":"Healey, M., Dettinger, M.D., and Norgaard, R., 2016, Perspectives on bay-delta science and policy: San Francisco Estuary and Watershed Science, v. 14, no. 4, p. 1-25, https://doi.org/10.15447/sfews.2016v14iss4art6.","productDescription":"Article 6; 25 p.","startPage":"1","endPage":"25","ipdsId":"IP-077666","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":470409,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2016v14iss4art6","text":"Publisher Index Page"},{"id":332907,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","volume":"14","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-28","publicationStatus":"PW","scienceBaseUri":"586e1822e4b0f5ce109fcadd","contributors":{"authors":[{"text":"Healey, Michael","contributorId":146519,"corporation":false,"usgs":false,"family":"Healey","given":"Michael","email":"","affiliations":[],"preferred":false,"id":657632,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":149896,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael","email":"mddettin@usgs.gov","middleInitial":"D.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":657631,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Norgaard, Richard","contributorId":177948,"corporation":false,"usgs":false,"family":"Norgaard","given":"Richard","email":"","affiliations":[],"preferred":false,"id":657633,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70177079,"text":"70177079 - 2016 - Does paleoseismology forecast the historic rates of large earthquakes on the San Andreas fault system?","interactions":[],"lastModifiedDate":"2017-04-13T10:02:17","indexId":"70177079","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Does paleoseismology forecast the historic rates of large earthquakes on the San Andreas fault system?","docAbstract":"The 98-year open interval since the most recent ground-rupturing earthquake in the greater San Andreas boundary fault system would not be predicted by the quasi-periodic recurrence statistics from paleoseismic data.  We examine whether the current hiatus could be explained by uncertainties in earthquake dating. Using seven independent paleoseismic records, 100 year intervals may have occurred circa 1150, 1400, and 1700 AD, but they occur in a third or less of sample records drawn at random.  A second method sampling from dates conditioned on the existence of a gap of varying length suggests century-long gaps occur 3-10% of the time.  A combined record with more sites would lead to lower probabilities.  Systematic data over-interpretation is considered an unlikely explanation.  Instead some form of non-stationary behaviour seems required, perhaps through long-range fault interaction.  Earthquake occurrence since 1000 AD is not inconsistent with long-term cyclicity suggested from long runs of earthquake simulators.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 7th PATA Days, 2016","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"7th International INQUA Meeting on Paleoseismology, Active Tectonics, and Archeoseismology","conferenceDate":"May 30- June 3, 2016","conferenceLocation":"Crestone, CO","language":"English","publisher":"Crestone Science Center","usgsCitation":"Biasi, G., Scharer, K.M., Weldon, R.J., and Dawson, T.E., 2016, Does paleoseismology forecast the historic rates of large earthquakes on the San Andreas fault system?, <i>in</i> Proceedings of the 7th PATA Days, 2016, Crestone, CO, May 30- June 3, 2016, p. 38-41.","productDescription":"4 p.","startPage":"38","endPage":"41","ipdsId":"IP-074573","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":339663,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":329684,"type":{"id":15,"text":"Index Page"},"url":"https://www.earthquakegeology.com/index.php?page=publications&s=6"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f08e60e4b06911a29fa84c","contributors":{"authors":[{"text":"Biasi, Glenn","contributorId":175464,"corporation":false,"usgs":false,"family":"Biasi","given":"Glenn","affiliations":[],"preferred":false,"id":651233,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scharer, Katherine M. 0000-0003-2811-2496 kscharer@usgs.gov","orcid":"https://orcid.org/0000-0003-2811-2496","contributorId":3385,"corporation":false,"usgs":true,"family":"Scharer","given":"Katherine","email":"kscharer@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":651232,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weldon, Ray J.","contributorId":175463,"corporation":false,"usgs":false,"family":"Weldon","given":"Ray","email":"","middleInitial":"J.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":651234,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dawson, Timothy E.","contributorId":24429,"corporation":false,"usgs":false,"family":"Dawson","given":"Timothy","email":"","middleInitial":"E.","affiliations":[{"id":7099,"text":"Calif. Geol. Survey","active":true,"usgs":false}],"preferred":false,"id":651235,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70177078,"text":"70177078 - 2016 - Testing geomorphology-derived rupture histories against the paleoseismic record of the southern San Andreas fault","interactions":[],"lastModifiedDate":"2017-04-13T10:06:29","indexId":"70177078","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Testing geomorphology-derived rupture histories against the paleoseismic record of the southern San Andreas fault","docAbstract":"Evidence for the 340-km-long Fort Tejon earthquake of 1857 is found at each of the high-resolution paleoseismic sites on the southern San Andreas Fault. Using trenching data from these sites, we find that the assemblage of dated paleoearthquakes recurs quasi-periodically (coefficient of variation, COV, of 0.6, Biasi, 2013) and requires ~80% of ruptures were shorter than the 1857 rupture with an average of Mw7.5. In contrast, paleorupture lengths reconstructed from preserved geomorphic offsets extracted from lidar are longer and have repeating displacements that are quite regular (COV=0.2; Zielke et al., 2015). Direct comparison shows that paleoruptures determined from geomorphic offset populations cannot be reconciled with dated paleoearthquakes. Our study concludes that the 1857 rupture was larger than average, average displacements must be < 5 m, and suggests that fault geometry may play a role in fault behavior.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 7th PATA Days, 2016","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Proceedings of the 7th International INQUA Workshop on Paleoseismology, Active Tectonics and Archaeoseismology (“PATA Days”) ","conferenceDate":"May 30- June 3, 2016","conferenceLocation":"Crestone, CO","language":"English","publisher":"Crestone Science Center","usgsCitation":"Scharer, K.M., Weldon, R.J., and Bemis, S., 2016, Testing geomorphology-derived rupture histories against the paleoseismic record of the southern San Andreas fault, <i>in</i> Proceedings of the 7th PATA Days, 2016, Crestone, CO, May 30- June 3, 2016, p. 216-219.","productDescription":"4 p.","startPage":"216","endPage":"219","ipdsId":"IP-074572","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":339664,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":329683,"type":{"id":15,"text":"Index Page"},"url":"https://www.earthquakegeology.com/index.php?page=publications&s=6"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f08e60e4b06911a29fa84e","contributors":{"authors":[{"text":"Scharer, Katherine M. 0000-0003-2811-2496 kscharer@usgs.gov","orcid":"https://orcid.org/0000-0003-2811-2496","contributorId":3385,"corporation":false,"usgs":true,"family":"Scharer","given":"Katherine","email":"kscharer@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":651229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weldon, Ray J.","contributorId":175463,"corporation":false,"usgs":false,"family":"Weldon","given":"Ray","email":"","middleInitial":"J.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":651230,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bemis, Sean","contributorId":175460,"corporation":false,"usgs":false,"family":"Bemis","given":"Sean","affiliations":[{"id":27572,"text":"UK","active":true,"usgs":false}],"preferred":false,"id":651231,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70178662,"text":"70178662 - 2016 - Population demographics for the federally endangered dwarf wedgemussel","interactions":[],"lastModifiedDate":"2017-04-27T10:02:46","indexId":"70178662","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Population demographics for the federally endangered dwarf wedgemussel","docAbstract":"<p><span>The dwarf wedgemussel, Alasmidonta heterodon, is a federally endangered freshwater mussel species inhabiting several Atlantic Slope rivers. Studies on population demographics of this species are necessary for status assessment and directing recovery efforts. We conducted qualitative and quantitative surveys for dwarf wedgemussel in the mainstem Delaware River and in four of its tributaries (Big Flat Brook, Little Flat Brook, Neversink River, and Paulinskill River). Population range, relative abundance, size, size structure, and sex ratio were quantified within each river. Total dwarf wedgemussel population size for the surveyed rivers in the Delaware Basin was estimated to be 14,432 individuals (90% confidence limits, 7,961-26,161). Our results suggest that the historically robust Neversink River population has declined, but that this population persists and substantial populations remain in other tributaries. Sex ratios were generally female-biased, and small individuals (&amp;lt;10 mm) found in all rivers indicate recent recruitment. Dwarf wedgemussel was most often found at the surface of the sediment (not buried below) in shallow quadrats (&amp;lt;2.00 m) comprised of small substrate (sand in tributaries; cobble in the mainstem) and minimal aquatic macrophytes. Long-term monitoring, continued surveys for new populations, and assessments of reproductive success are needed to further understand dwarf wedgemussel viability within the Delaware River Basin.</span></p>","language":"English","publisher":"Scientific Journals","doi":"10.3996/112014-JFWM-084","usgsCitation":"Galbraith, H.S., Lellis, W.A., Cole, J.C., Blakeslee, C.J., and St. John White, B., 2016, Population demographics for the federally endangered dwarf wedgemussel: Journal of Fish and Wildlife Management, v. 7, no. 2, p. 377-387, https://doi.org/10.3996/112014-JFWM-084.","productDescription":"11 p.","startPage":"377","endPage":"387","ipdsId":"IP-075466","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":331428,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"2","noUsgsAuthors":false,"publicationDate":"2016-09-01","publicationStatus":"PW","scienceBaseUri":"584144d9e4b04fc80e507352","contributors":{"authors":[{"text":"Galbraith, Heather S. 0000-0003-3704-3517 hgalbraith@usgs.gov","orcid":"https://orcid.org/0000-0003-3704-3517","contributorId":4519,"corporation":false,"usgs":true,"family":"Galbraith","given":"Heather","email":"hgalbraith@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":654745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lellis, William A. 0000-0001-7806-2904 wlellis@usgs.gov","orcid":"https://orcid.org/0000-0001-7806-2904","contributorId":2369,"corporation":false,"usgs":true,"family":"Lellis","given":"William","email":"wlellis@usgs.gov","middleInitial":"A.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":654746,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cole, Jeffrey C. 0000-0002-2477-7231 jccole@usgs.gov","orcid":"https://orcid.org/0000-0002-2477-7231","contributorId":5585,"corporation":false,"usgs":true,"family":"Cole","given":"Jeffrey","email":"jccole@usgs.gov","middleInitial":"C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":654747,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blakeslee, Carrie J. 0000-0002-0801-5325 cblakeslee@usgs.gov","orcid":"https://orcid.org/0000-0002-0801-5325","contributorId":5462,"corporation":false,"usgs":true,"family":"Blakeslee","given":"Carrie","email":"cblakeslee@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":654748,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"St. John White, Barbara","contributorId":48084,"corporation":false,"usgs":true,"family":"St. John White","given":"Barbara","affiliations":[],"preferred":false,"id":654749,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70179313,"text":"70179313 - 2016 - Interagency Pacific marten (Martes caurina) distribution study on the Olympic Peninsula, Washington","interactions":[],"lastModifiedDate":"2019-06-26T12:06:00","indexId":"70179313","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"displayTitle":"Interagency Pacific marten (<i>Martes caurina</i>) distribution study on the Olympic Peninsula, Washington","title":"Interagency Pacific marten (Martes caurina) distribution study on the Olympic Peninsula, Washington","docAbstract":"The objective of this study was to determine if the Pacific marten (Martes caurina) still occurs on the Olympic Peninsula in Washington State.  We reviewed recent records of marten observations on the Olympic Peninsula since 1998, and conducted new surveys in undersampled regions of  the Olympic Peninsula during summer, 2016.  We reviewed evidence of fisher presence from 6 previously reported studies of carnivore distribution and presence on the Olympic Peninsula and conducted new surveys in previously undersampled areas of the Peninsula. We documented five highly reliable records of marten observations on the Pensula since 1988. Further, we established 197 camera stations in search of martens, amassing a total of 17,897 camera-nights of survey efforts in previously undersampled regions.  We documented presence of one additional marten during summer 2016.  This marten, however, was close to a marten detected in 2015, so it was not clear if it represented a different marten.  We concluded that five to six martens have been verified present on the Olympic Peninsula since 1988. Pacific martens appear to be very limited in distribution and at critically low numbers throughout much of their former range on the Olympic Peninsula.","language":"English","publisher":"U.S. Forest Service","usgsCitation":"Moriarty, K., Howell, B., Morozumi, C., Happe, P., Jenkins, K.J., and Aubry, K.B., 2016, Interagency Pacific marten (Martes caurina) distribution study on the Olympic Peninsula, Washington, 16 p.","productDescription":"16 p.","ipdsId":"IP-081879","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":339845,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":339844,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fs.fed.us/r6/sfpnw/issssp/documents4/inv-rpt-ma-martes-caurina-oly-2015-2016.pdf"}],"country":"United States","state":"Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      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,{"id":70178934,"text":"70178934 - 2016 - Temperature response of soil respiration largely unaltered with experimental warming","interactions":[],"lastModifiedDate":"2017-02-13T13:58:57","indexId":"70178934","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Temperature response of soil respiration largely unaltered with experimental warming","docAbstract":"<p><span>The respiratory release of carbon dioxide (CO</span><sub>2</sub><span>) from soil is a major yet poorly understood flux in the global carbon cycle. Climatic warming is hypothesized to increase rates of soil respiration, potentially fueling further increases in global temperatures. However, despite considerable scientific attention in recent decades, the overall response of soil respiration to anticipated climatic warming remains unclear. We synthesize the largest global dataset to date of soil respiration, moisture, and temperature measurements, totaling &gt;3,800 observations representing 27 temperature manipulation studies, spanning nine biomes and over 2 decades of warming. Our analysis reveals no significant differences in the temperature sensitivity of soil respiration between control and warmed plots in all biomes, with the exception of deserts and boreal forests. Thus, our data provide limited evidence of acclimation of soil respiration to experimental warming in several major biome types, contrary to the results from multiple single-site studies. Moreover, across all nondesert biomes, respiration rates with and without experimental warming follow a Gaussian response, increasing with soil temperature up to a threshold of ∼25 °C, above which respiration rates decrease with further increases in temperature. This consistent decrease in temperature sensitivity at higher temperatures demonstrates that rising global temperatures may result in regionally variable responses in soil respiration, with colder climates being considerably more responsive to increased ambient temperatures compared with warmer regions. Our analysis adds a unique cross-biome perspective on the temperature response of soil respiration, information critical to improving our mechanistic understanding of how soil carbon dynamics change with climatic warming.</span></p>","language":"English","publisher":"Proceedings of the National Academy of Sciences","doi":"10.1073/pnas.1605365113","usgsCitation":"Carey, J.C., Tang, J., Templer, P.H., Kroeger, K.D., Crowther, T.W., Burton, A.J., Dukes, J.S., Emmett, B., Frey, S.D., Heskel, M.A., Jiang, L., Machmuller, M.B., Mohan, J., Panetta, A.M., Reich, P., Reinsch, S., Wang, X., Allison, S.D., Bamminger, C., Bridgham, S.D., Collins, S., de Dato, G., Eddy, W.C., Enquist, B.J., Estiarte, M., Harte, J., Henderson, A., Johnson, B.R., Steenberg Larsen, K., Luo, Y., Marhan, S., Melillo, J.M., Penuelas, J., Pfeifer-Meister, L., Poll, C., Rastetter, E.B., Reinmann, A.B., Reynolds, L.L., Schmidt, I.K., Shaver, G.R., Strong, A.L., Suseela, V., and Tietema, A., 2016, Temperature response of soil respiration largely unaltered with experimental warming: Proceedings of the National Academy of Sciences of the United States of America, v. 113, no. 48, p. 13797-13802, https://doi.org/10.1073/pnas.1605365113.","productDescription":"6 p.","startPage":"13797","endPage":"13802","ipdsId":"IP-077805","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":470383,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pure.knaw.nl/portal/en/publications/4914aef2-f088-4517-b174-f7b321b5e59c","text":"External Repository"},{"id":332028,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"113","issue":"48","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-14","publicationStatus":"PW","scienceBaseUri":"585116bbe4b08138bf1abd52","contributors":{"authors":[{"text":"Carey, Joanna C.","contributorId":177397,"corporation":false,"usgs":false,"family":"Carey","given":"Joanna","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":655710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tang, Jianwu","contributorId":174890,"corporation":false,"usgs":false,"family":"Tang","given":"Jianwu","email":"","affiliations":[{"id":27818,"text":"The Ecosystems Center, Marine Biological Laboratory. 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,{"id":70178571,"text":"70178571 - 2016 - Clinal patterns in genetic variation for northern leopard frog (<i>Rana pipiens</i>): Conservation status and population histories","interactions":[],"lastModifiedDate":"2017-01-03T16:01:46","indexId":"70178571","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Clinal patterns in genetic variation for northern leopard frog (<i>Rana pipiens</i>): Conservation status and population histories","docAbstract":"<p><span>The security of the northern leopard frog (</span><i class=\"EmphasisTypeItalic \">Rana pipiens)</i><span> varies spatially with populations east and west of North Dakota considered as secure and at risk, respectively. We used genetic markers to characterize the conservation status of northern leopard frog populations across North Dakota. We used multiple regression analyses and model selection to evaluate correlations of expected heterozygosity (</span><i class=\"EmphasisTypeItalic \">H</i><sub><i class=\"EmphasisTypeItalic \">E</i></sub><span>) with the direct and additive effects of: </span><strong class=\"EmphasisTypeBold \">i</strong><span>) </span><i class=\"EmphasisTypeItalic \">geographic location,</i><strong class=\"EmphasisTypeBold \">ii</strong><span>) </span><i class=\"EmphasisTypeItalic \">wetland density</i><span> and </span><strong class=\"EmphasisTypeBold \">iii</strong><span>) </span><i class=\"EmphasisTypeItalic \">average annual precipitation</i><span>. There was lower genetic diversity in the western portion of the state due to lower levels of diversity for populations southwest of the Missouri River. This may reflect a refugial/colonization signature for the only non-glaciated area of North Dakota. Genetic diversity was also positively associated with </span><i class=\"EmphasisTypeItalic \">wetland densities</i><span> which is consistent with the reliance of this species on a mosaic of wetlands. Our findings suggest that populations in the southwestern part of North Dakota are of higher conservation concern, a finding consistent with the higher risk noted for northern leopard frog populations in most states west of North Dakota. Our findings also pose the hypothesis that climate change induced changes in wetland densities will reduce genetic diversity of northern leopard frog populations.</span></p>","language":"English","publisher":"Sprinker","doi":"10.1007/s13157-016-0847-3","usgsCitation":"Stockwell, C., Fisher, J.D., and McLean, K.I., 2016, Clinal patterns in genetic variation for northern leopard frog (<i>Rana pipiens</i>): Conservation status and population histories: Wetlands, v. 36, no. s2, p. 437-443, https://doi.org/10.1007/s13157-016-0847-3.","productDescription":"7 p.","startPage":"437","endPage":"443","ipdsId":"IP-077323","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":331368,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North 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Center","active":true,"usgs":true}],"preferred":false,"id":654592,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192973,"text":"70192973 - 2016 - Evaluating early-warning indicators of critical transitions in natural aquatic ecosystems","interactions":[],"lastModifiedDate":"2017-11-07T12:23:53","indexId":"70192973","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating early-warning indicators of critical transitions in natural aquatic ecosystems","docAbstract":"<p><span>Ecosystems can show sudden and persistent changes in state despite only incremental changes in drivers. Such critical transitions are difficult to predict, because the state of the system often shows little change before the transition. Early-warning indicators (EWIs) are hypothesized to signal the loss of system resilience and have been shown to precede critical transitions in theoretical models, paleo-climate time series, and in laboratory as well as whole lake experiments. The generalizability of EWIs for detecting critical transitions in empirical time series of natural aquatic ecosystems remains largely untested, however. Here we assessed four commonly used EWIs on long-term datasets of five freshwater ecosystems that have experienced sudden, persistent transitions and for which the relevant ecological mechanisms and drivers are well understood. These case studies were categorized by three mechanisms that can generate critical transitions between alternative states: competition, trophic cascade, and intraguild predation. Although EWIs could be detected in most of the case studies, agreement among the four indicators was low. In some cases, EWIs were detected considerably ahead of the transition. Nonetheless, our results show that at present, EWIs do not provide reliable and consistent signals of impending critical transitions despite using some of the best routinely monitored freshwater ecosystems. Our analysis strongly suggests that a priori knowledge of the underlying mechanisms driving ecosystem transitions is necessary to identify relevant state variables for successfully monitoring EWIs.</span></p>","language":"English","publisher":"National Academy of Sciences of the United States of America","doi":"10.1073/pnas.1608242113","usgsCitation":"Gsell, A.S., Scharfenberger, U., Ozkundakci, D., Walters, A.W., Hansson, L., Janssen, A., Noges, P., Reid, P., Schindler, D., van Donk, E., Dakos, V., and Adrian, R., 2016, Evaluating early-warning indicators of critical transitions in natural aquatic ecosystems: Proceedings of the National Academy of Sciences of the United States of America, v. 113, no. 50, p. E8089-E8095, https://doi.org/10.1073/pnas.1608242113.","productDescription":"7 p.","startPage":"E8089","endPage":"E8095","ipdsId":"IP-061164","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470438,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1073/pnas.1608242113","text":"External Repository"},{"id":348371,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"113","issue":"50","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-22","publicationStatus":"PW","scienceBaseUri":"5a07e98de4b09af898c8cc22","contributors":{"authors":[{"text":"Gsell, Alena Sonia","contributorId":198873,"corporation":false,"usgs":false,"family":"Gsell","given":"Alena","email":"","middleInitial":"Sonia","affiliations":[],"preferred":false,"id":717494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scharfenberger, Ulrike","contributorId":198874,"corporation":false,"usgs":false,"family":"Scharfenberger","given":"Ulrike","email":"","affiliations":[],"preferred":false,"id":717495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ozkundakci, Deniz","contributorId":198875,"corporation":false,"usgs":false,"family":"Ozkundakci","given":"Deniz","email":"","affiliations":[],"preferred":false,"id":717496,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717493,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hansson, Lars-Anders","contributorId":198876,"corporation":false,"usgs":false,"family":"Hansson","given":"Lars-Anders","email":"","affiliations":[],"preferred":false,"id":717497,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Janssen, Annette B. G.","contributorId":200076,"corporation":false,"usgs":false,"family":"Janssen","given":"Annette B. G.","affiliations":[],"preferred":false,"id":720911,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Noges, Peeter 0000-0003-2919-6038","orcid":"https://orcid.org/0000-0003-2919-6038","contributorId":150291,"corporation":false,"usgs":false,"family":"Noges","given":"Peeter","email":"","affiliations":[{"id":17967,"text":"Centre for Limnology, Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, Tartumaa, Estonia","active":true,"usgs":false}],"preferred":false,"id":717498,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reid, Philip","contributorId":198877,"corporation":false,"usgs":false,"family":"Reid","given":"Philip","email":"","affiliations":[],"preferred":false,"id":717499,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schindler, Daniel","contributorId":198878,"corporation":false,"usgs":false,"family":"Schindler","given":"Daniel","affiliations":[],"preferred":false,"id":717500,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"van Donk, Ellen","contributorId":198879,"corporation":false,"usgs":false,"family":"van Donk","given":"Ellen","email":"","affiliations":[],"preferred":false,"id":717501,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Dakos, Vasilis","contributorId":198880,"corporation":false,"usgs":false,"family":"Dakos","given":"Vasilis","email":"","affiliations":[],"preferred":false,"id":717502,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Adrian, Rita 0000-0002-6318-7189","orcid":"https://orcid.org/0000-0002-6318-7189","contributorId":166831,"corporation":false,"usgs":false,"family":"Adrian","given":"Rita","email":"","affiliations":[{"id":24542,"text":"Department of Ecosystem Research, Leibniz Institute of Freshwater Ecology and Inland Fisheries, Müggelseedamm 301, D- 12587 Berlin, Germany","active":true,"usgs":false}],"preferred":false,"id":717503,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70179636,"text":"70179636 - 2016 - mizuRoute version 1: A river network routing tool for a continental domain water resources applications","interactions":[],"lastModifiedDate":"2017-01-09T11:33:05","indexId":"70179636","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1818,"text":"Geoscientific Model Development","active":true,"publicationSubtype":{"id":10}},"title":"mizuRoute version 1: A river network routing tool for a continental domain water resources applications","docAbstract":"<p><span>This paper describes the first version of a stand-alone runoff routing tool, mizuRoute. The mizuRoute tool post-processes runoff outputs from any distributed hydrologic model or land surface model to produce spatially distributed streamflow at various spatial scales from headwater basins to continental-wide river systems. The tool can utilize both traditional grid-based river network and vector-based river network data. Both types of river network include river segment lines and the associated drainage basin polygons, but the vector-based river network can represent finer-scale river lines than the grid-based network. Streamflow estimates at any desired location in the river network can be easily extracted from the output of mizuRoute. The routing process is simulated as two separate steps. First, hillslope routing is performed with a gamma-distribution-based unit-hydrograph to transport runoff from a hillslope to a catchment outlet. The second step is river channel routing, which is performed with one of two routing scheme options: (1)&nbsp;a kinematic wave tracking (KWT) routing procedure; and (2)&nbsp;an impulse response function – unit-hydrograph (IRF-UH) routing procedure. The mizuRoute tool also includes scripts (python, NetCDF operators) to pre-process spatial river network data. This paper demonstrates mizuRoute's capabilities to produce spatially distributed streamflow simulations based on river networks from the United States Geological Survey (USGS) Geospatial Fabric (GF) data set in which over 54 000 river segments and their contributing areas are mapped across the contiguous United States (CONUS). A brief analysis of model parameter sensitivity is also provided. The mizuRoute tool can assist model-based water resources assessments including studies of the impacts of climate change on streamflow.</span></p>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/gmd-9-2223-2016","usgsCitation":"Mizukami, N., Clark, M.P., Sampson, K., Nijssen, B., Mao, Y., McMillan, H., Viger, R.J., Markstrom, S.L., Hay, L.E., Woods, R., Arnold, J.R., and Brekke, L.D., 2016, mizuRoute version 1: A river network routing tool for a continental domain water resources applications: Geoscientific Model Development, v. 9, p. 2223-2238, https://doi.org/10.5194/gmd-9-2223-2016.","productDescription":"16 p.","startPage":"2223","endPage":"2238","ipdsId":"IP-075055","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":470378,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/gmd-9-2223-2016","text":"Publisher Index Page"},{"id":332987,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-23","publicationStatus":"PW","scienceBaseUri":"5874b0ade4b0a829a320bb67","contributors":{"authors":[{"text":"Mizukami, Naoki","contributorId":178120,"corporation":false,"usgs":false,"family":"Mizukami","given":"Naoki","email":"","affiliations":[],"preferred":false,"id":657982,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Martyn P.","contributorId":178121,"corporation":false,"usgs":false,"family":"Clark","given":"Martyn","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":657983,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sampson, Kevin","contributorId":178122,"corporation":false,"usgs":false,"family":"Sampson","given":"Kevin","email":"","affiliations":[],"preferred":false,"id":657984,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nijssen, Bart","contributorId":178123,"corporation":false,"usgs":false,"family":"Nijssen","given":"Bart","email":"","affiliations":[],"preferred":false,"id":657985,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mao, Yixin","contributorId":139783,"corporation":false,"usgs":false,"family":"Mao","given":"Yixin","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":657986,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McMillan, Hilary","contributorId":176321,"corporation":false,"usgs":false,"family":"McMillan","given":"Hilary","email":"","affiliations":[],"preferred":false,"id":657987,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Viger, Roland J. 0000-0003-2520-714X rviger@usgs.gov","orcid":"https://orcid.org/0000-0003-2520-714X","contributorId":168799,"corporation":false,"usgs":true,"family":"Viger","given":"Roland","email":"rviger@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":657988,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Markstrom, Steven L. 0000-0001-7630-9547 markstro@usgs.gov","orcid":"https://orcid.org/0000-0001-7630-9547","contributorId":146553,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steven","email":"markstro@usgs.gov","middleInitial":"L.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":657989,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":657981,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Woods, Ross","contributorId":178124,"corporation":false,"usgs":false,"family":"Woods","given":"Ross","affiliations":[],"preferred":false,"id":657990,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Arnold, Jeffrey R.","contributorId":178125,"corporation":false,"usgs":false,"family":"Arnold","given":"Jeffrey","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":657991,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Brekke, Levi D.","contributorId":178126,"corporation":false,"usgs":false,"family":"Brekke","given":"Levi","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":657992,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70179752,"text":"70179752 - 2016 - <i>Thamnophis marcianus</i> (Checkered Gartersnake). USA: Arizona: Yuma and La Paz Counties: Colorado River","interactions":[],"lastModifiedDate":"2017-01-17T12:30:41","indexId":"70179752","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"<i>Thamnophis marcianus</i> (Checkered Gartersnake). USA: Arizona: Yuma and La Paz Counties: Colorado River","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Munes, R., Reed, R., Falk, B., Lauren Hall, A., and Holycross, A., 2016, <i>Thamnophis marcianus</i> (Checkered Gartersnake). USA: Arizona: Yuma and La Paz Counties: Colorado River: Herpetological Review, v. 47, no. 4, p. 631-632.","productDescription":"2 p.","startPage":"631","endPage":"632","ipdsId":"IP-076749","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":333251,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":333242,"type":{"id":15,"text":"Index Page"},"url":"https://ssarherps.org/herpetological-review-pdfs/"}],"volume":"47","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"587f3bf9e4b0d96de2564541","contributors":{"authors":[{"text":"Munes, Ryan","contributorId":178332,"corporation":false,"usgs":false,"family":"Munes","given":"Ryan","email":"","affiliations":[],"preferred":false,"id":658542,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, Robert 0000-0001-8349-6168 reedr@usgs.gov","orcid":"https://orcid.org/0000-0001-8349-6168","contributorId":152301,"corporation":false,"usgs":true,"family":"Reed","given":"Robert","email":"reedr@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":658543,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Falk, Bryan 0000-0002-9690-5626 bfalk@usgs.gov","orcid":"https://orcid.org/0000-0002-9690-5626","contributorId":150075,"corporation":false,"usgs":true,"family":"Falk","given":"Bryan","email":"bfalk@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":658541,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lauren Hall, Ashley","contributorId":178333,"corporation":false,"usgs":false,"family":"Lauren Hall","given":"Ashley","email":"","affiliations":[],"preferred":false,"id":658544,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holycross, Andrew","contributorId":178334,"corporation":false,"usgs":false,"family":"Holycross","given":"Andrew","affiliations":[],"preferred":false,"id":658545,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70179640,"text":"70179640 - 2016 - Hydrology of prairie wetlands: Understanding the integrated surface-water and groundwater processes","interactions":[],"lastModifiedDate":"2017-01-09T11:08:12","indexId":"70179640","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Hydrology of prairie wetlands: Understanding the integrated surface-water and groundwater processes","docAbstract":"<p><span>Wetland managers and policy makers need to make decisions based on a sound scientific understanding of hydrological and ecological functions of wetlands. This article presents an overview of the hydrology of prairie wetlands intended for managers, policy makers, and researchers new to this field (e.g., graduate students), and a quantitative conceptual framework for understanding the hydrological functions of prairie wetlands and their responses to changes in climate and land use. The existence of prairie wetlands in the semi-arid environment of the Prairie-Pothole Region (PPR) depends on the lateral inputs of runoff water from their catchments because mean annual potential evaporation exceeds precipitation in the PPR. Therefore, it is critically important to consider wetlands and catchments as highly integrated hydrological units. The water balance of individual wetlands is strongly influenced by runoff from the catchment and the exchange of groundwater between the central pond and its moist margin. Land-use practices in the catchment have a sensitive effect on runoff and hence the water balance. Surface and subsurface storage and connectivity among individual wetlands controls the diversity of pond permanence within a wetland complex, resulting in a variety of eco-hydrological functionalities necessary for maintaining the integrity of prairie-wetland ecosystems.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s13157-016-0797-9","usgsCitation":"Hayashi, M., van der Kamp, G., and Rosenberry, D.O., 2016, Hydrology of prairie wetlands: Understanding the integrated surface-water and groundwater processes: Wetlands, v. 36, no. s2, p. 237-254, https://doi.org/10.1007/s13157-016-0797-9.","productDescription":"18 p.","startPage":"237","endPage":"254","ipdsId":"IP-076830","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":332982,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"s2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-14","publicationStatus":"PW","scienceBaseUri":"5874b0ade4b0a829a320bb63","contributors":{"authors":[{"text":"Hayashi, Masaki","contributorId":173855,"corporation":false,"usgs":false,"family":"Hayashi","given":"Masaki","email":"","affiliations":[{"id":16660,"text":"University of Calgary","active":true,"usgs":false}],"preferred":false,"id":658013,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van der Kamp, Garth","contributorId":178136,"corporation":false,"usgs":false,"family":"van der Kamp","given":"Garth","email":"","affiliations":[],"preferred":false,"id":658014,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":658012,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70178875,"text":"70178875 - 2016 - Cryovolcanism on Ceres","interactions":[],"lastModifiedDate":"2016-12-12T11:43:14","indexId":"70178875","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Cryovolcanism on Ceres","docAbstract":"Volcanic edifices are abundant on rocky bodies of the inner solar system. In the cold outer solar system, volcanism can occur on solid bodies with a water-ice shell, but derived cryovolcanic constructs have proved elusive. We report the discovery using Dawn Framing Camera images of a landform on dwarf planet Ceres, which we argue represents a viscous cryovolcanic dome. Parent material of the cryomagma is a mixture of secondary minerals, including salts and water ice. Absolute model ages from impact craters reveal that extrusion of the dome has occurred recently. Ceres’ evolution must have been able to sustain recent interior activity and associated surface expressions. We propose salts with low eutectic temperatures and thermal conductivities as key drivers for Ceres’ long-term internal evolution.","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/science.aaf4286","usgsCitation":"Ruesch, O., Platz, T., Schenk, P., McFadden, L., Castillo-Rogez, J.C., Quick, L.C., Byrne, S., Preusker, F., O'Brien, D., Schmedemann, N., Williams, D., Li, J., Bland, M.T., Hiesinger, H., Kneissl, T., Neesemann, A., Schaefer, M., Pasckert, J.H., Schmidt, B., Buczkowski, D., Sykes, M.V., Nathues, A., Roatsch, T., Hoffman, M., Raymond, C., and Russell, C., 2016, Cryovolcanism on Ceres: Science, v. 353, no. 6303, https://doi.org/10.1126/science.aaf4286.","ipdsId":"IP-073646","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":462017,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://zenodo.org/record/1231277","text":"Publisher Index Page"},{"id":331910,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"353","issue":"6303","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"584fc563e4b00645734c539f","contributors":{"authors":[{"text":"Ruesch, O.","contributorId":177366,"corporation":false,"usgs":false,"family":"Ruesch","given":"O.","email":"","affiliations":[],"preferred":false,"id":655537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Platz, T.","contributorId":177362,"corporation":false,"usgs":false,"family":"Platz","given":"T.","affiliations":[],"preferred":false,"id":655538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schenk, P.","contributorId":105484,"corporation":false,"usgs":true,"family":"Schenk","given":"P.","affiliations":[],"preferred":false,"id":655539,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McFadden, L.A.","contributorId":35511,"corporation":false,"usgs":true,"family":"McFadden","given":"L.A.","email":"","affiliations":[],"preferred":false,"id":655540,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Castillo-Rogez, J. 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C.","contributorId":177376,"corporation":false,"usgs":false,"family":"Quick","given":"L.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":655542,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Byrne, S.","contributorId":105083,"corporation":false,"usgs":true,"family":"Byrne","given":"S.","email":"","affiliations":[],"preferred":false,"id":655543,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Preusker, F.","contributorId":39659,"corporation":false,"usgs":true,"family":"Preusker","given":"F.","affiliations":[],"preferred":false,"id":655544,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"O'Brien, D.P.","contributorId":87021,"corporation":false,"usgs":true,"family":"O'Brien","given":"D.P.","affiliations":[],"preferred":false,"id":655545,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Schmedemann, N.","contributorId":177377,"corporation":false,"usgs":false,"family":"Schmedemann","given":"N.","affiliations":[],"preferred":false,"id":655546,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Williams, D.A.","contributorId":98048,"corporation":false,"usgs":false,"family":"Williams","given":"D.A.","email":"","affiliations":[{"id":7114,"text":"Arizona State Unviersity","active":true,"usgs":false}],"preferred":false,"id":655547,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Li, Jian-Yang","contributorId":47275,"corporation":false,"usgs":true,"family":"Li","given":"Jian-Yang","affiliations":[],"preferred":false,"id":655567,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Bland, M. T.","contributorId":177384,"corporation":false,"usgs":false,"family":"Bland","given":"M.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":655548,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hiesinger, H.","contributorId":62808,"corporation":false,"usgs":true,"family":"Hiesinger","given":"H.","affiliations":[],"preferred":false,"id":655549,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Kneissl, T.","contributorId":68993,"corporation":false,"usgs":true,"family":"Kneissl","given":"T.","affiliations":[],"preferred":false,"id":655550,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Neesemann, A.","contributorId":177383,"corporation":false,"usgs":false,"family":"Neesemann","given":"A.","email":"","affiliations":[],"preferred":false,"id":655551,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Schaefer, M.","contributorId":177386,"corporation":false,"usgs":false,"family":"Schaefer","given":"M.","email":"","affiliations":[],"preferred":false,"id":655552,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Pasckert, J. H.","contributorId":177382,"corporation":false,"usgs":false,"family":"Pasckert","given":"J.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":655553,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Schmidt, B.E.","contributorId":177354,"corporation":false,"usgs":false,"family":"Schmidt","given":"B.E.","email":"","affiliations":[{"id":27526,"text":"Georgia Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":655554,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Buczkowski, D.L.","contributorId":66512,"corporation":false,"usgs":true,"family":"Buczkowski","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":655555,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Sykes, M. V.","contributorId":177363,"corporation":false,"usgs":false,"family":"Sykes","given":"M.","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":655556,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Nathues, A.","contributorId":24145,"corporation":false,"usgs":true,"family":"Nathues","given":"A.","affiliations":[],"preferred":false,"id":655557,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Roatsch, T.","contributorId":18933,"corporation":false,"usgs":true,"family":"Roatsch","given":"T.","email":"","affiliations":[],"preferred":false,"id":655558,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Hoffman, M.","contributorId":73163,"corporation":false,"usgs":false,"family":"Hoffman","given":"M.","email":"","affiliations":[],"preferred":false,"id":655559,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Raymond, C.A.","contributorId":50301,"corporation":false,"usgs":false,"family":"Raymond","given":"C.A.","email":"","affiliations":[{"id":18954,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA","active":true,"usgs":false}],"preferred":false,"id":655560,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Russell, C.T.","contributorId":32275,"corporation":false,"usgs":false,"family":"Russell","given":"C.T.","email":"","affiliations":[{"id":33607,"text":"University of California Los Angeles","active":true,"usgs":false}],"preferred":false,"id":655561,"contributorType":{"id":1,"text":"Authors"},"rank":26}]}}
,{"id":70178884,"text":"70178884 - 2016 - Nitrapyrin in streams: The first study documenting off-field transport of a nitrogen stabilizer compound","interactions":[],"lastModifiedDate":"2018-08-07T12:16:46","indexId":"70178884","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5022,"text":"Environmental Science & Technology Letters","onlineIssn":"2328-8930","active":true,"publicationSubtype":{"id":10}},"title":"Nitrapyrin in streams: The first study documenting off-field transport of a nitrogen stabilizer compound","docAbstract":"<p><span>Nitrapyrin is a bactericide that is co-applied with fertilizer to prevent nitrification and enhance corn yields. While there have been studies of the environmental fate of nitrapyrin, there is no documentation of its off-field transport to streams. In 2016, 59 water samples from 11 streams across Iowa were analyzed for nitrapyrin and its degradate, 6-chloropicolinic acid (6-CPA), along with three widely used herbicides, acetochlor, atrazine, and metolachlor. Nitrapyrin was detected in seven streams (39% of water samples) with concentrations ranging from 12 to 240 ng/L; 6-CPA was never detected. The herbicides were ubiquitously detected (100% of samples, 28–16000 ng/L). Higher nitrapyrin concentrations in streams were associated with rainfall events following spring fertilizer applications. Nitrapyrin persisted in streams for up to 5 weeks. These results highlight the need for more research focused on the environmental fate and transport of nitrapyrin and the potential toxicity this compound could have on nontarget organisms.</span></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.estlett.6b00348","usgsCitation":"Woodward, E., Hladik, M., and Kolpin, D.W., 2016, Nitrapyrin in streams: The first study documenting off-field transport of a nitrogen stabilizer compound: Environmental Science & Technology Letters, v. 3, no. 11, p. 387-392, https://doi.org/10.1021/acs.estlett.6b00348.","productDescription":"6 p.","startPage":"387","endPage":"392","ipdsId":"IP-079406","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":331882,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"11","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-14","publicationStatus":"PW","scienceBaseUri":"584fc562e4b00645734c539b","chorus":{"doi":"10.1021/acs.estlett.6b00348","url":"http://dx.doi.org/10.1021/acs.estlett.6b00348","publisher":"American Chemical Society (ACS)","authors":"Woodward Emily E., Hladik Michelle L., Kolpin Dana W.","journalName":"Environmental Science & Technology Letters","publicationDate":"11/8/2016"},"contributors":{"authors":[{"text":"Woodward, Emily E. 0000-0001-9196-1349 ewoodward@usgs.gov","orcid":"https://orcid.org/0000-0001-9196-1349","contributorId":177364,"corporation":false,"usgs":true,"family":"Woodward","given":"Emily","email":"ewoodward@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hladik, Michelle 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":784,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":655452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655453,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193660,"text":"70193660 - 2016 - Structured decision making as a framework for large-scale wildlife harvest management decisions","interactions":[],"lastModifiedDate":"2017-11-05T21:40:27","indexId":"70193660","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Structured decision making as a framework for large-scale wildlife harvest management decisions","docAbstract":"<p>Fish and wildlife harvest management at large spatial scales often involves making complex decisions with multiple objectives and difficult tradeoffs, population demographics that vary spatially, competing stakeholder values, and uncertainties that might affect management decisions. Structured decision making (SDM) provides a formal decision analytic framework for evaluating difficult decisions by breaking decisions into component parts and separating the values of stakeholders from the scientific evaluation of management actions and uncertainty. The result is a rigorous, transparent, and values-driven process. This decision-aiding process provides the decision maker with a more complete understanding of the problem and the effects of potential management actions on stakeholder values, as well as how key uncertainties can affect the decision. We use a case study to illustrate how SDM can be used as a decision-aiding tool for management decision making at large scales. We evaluated alternative white-tailed deer (<i>Odocoileus virginianus</i>) buck-harvest regulations in New York designed to reduce harvest of yearling bucks, taking into consideration the values of the state wildlife agency responsible for managing deer, as well as deer hunters. We incorporated tradeoffs about social, ecological, and economic management concerns throughout the state. Based on the outcomes of predictive models, expert elicitation, and hunter surveys, the SDM process identified management alternatives that optimized competing objectives. The SDM process provided biologists and managers insight about aspects of the buck-harvest decision that helped them adopt a management strategy most compatible with diverse hunter values and management concerns.</p>","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.1613","usgsCitation":"Robinson, K., Fuller, A.K., Hurst, J.E., Swift, B.L., Kirsch, A., Farquhar, J.F., Decker, D.J., and Siemer, W.F., 2016, Structured decision making as a framework for large-scale wildlife harvest management decisions: Ecosphere, v. 7, no. 12, Article e01613; 14 p., https://doi.org/10.1002/ecs2.1613.","productDescription":"Article e01613; 14 p.","ipdsId":"IP-078686","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470346,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1613","text":"Publisher Index Page"},{"id":348207,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"12","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-20","publicationStatus":"PW","scienceBaseUri":"5a003151e4b0531197b5a750","contributors":{"authors":[{"text":"Robinson, Kelly F.","contributorId":140157,"corporation":false,"usgs":false,"family":"Robinson","given":"Kelly F.","affiliations":[{"id":473,"text":"New York Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true},{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false},{"id":13267,"text":"Warnell School of Forestry and Natural Resources, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":719792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719791,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hurst, Jeremy E.","contributorId":177504,"corporation":false,"usgs":false,"family":"Hurst","given":"Jeremy","email":"","middleInitial":"E.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":719793,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swift, Bryan L.","contributorId":11433,"corporation":false,"usgs":false,"family":"Swift","given":"Bryan","email":"","middleInitial":"L.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":719794,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kirsch, Arthur","contributorId":199698,"corporation":false,"usgs":false,"family":"Kirsch","given":"Arthur","email":"","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":719795,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Farquhar, James F.","contributorId":150969,"corporation":false,"usgs":false,"family":"Farquhar","given":"James","email":"","middleInitial":"F.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":719796,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Decker, Daniel J.","contributorId":166906,"corporation":false,"usgs":false,"family":"Decker","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":719797,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Siemer, William F.","contributorId":192551,"corporation":false,"usgs":false,"family":"Siemer","given":"William","email":"","middleInitial":"F.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":719798,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70189314,"text":"70189314 - 2016 - Occurrence of triclocarban and triclosan in an agro-ecosystem following application of biosolids","interactions":[],"lastModifiedDate":"2018-08-08T10:15:31","indexId":"70189314","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Occurrence of triclocarban and triclosan in an agro-ecosystem following application of biosolids","docAbstract":"<p><span>Triclocarban (TCC) and triclosan (TCS), two of the most commonly used antimicrobial compounds, can be introduced into ecosystems by applying wastewater treatment plant biosolids to agricultural fields. Concentrations of TCC and TCS were measured in different trophic levels within a terrestrial food web encompassing land-applied biosolids, soil, earthworms (</span><i>Lumbricus</i><span>), deer mice (</span><i>Peromyscus maniculatus</i><span>), and eggs of European starlings (</span><i>Sturnus vulgaris</i><span>) and American kestrels (</span><i>Falco sparverius</i><span>) at an experimental site amended with biosolids for the previous 7 years. The samples from this site were compared to the same types of samples from a reference (biosolids-free) agricultural site. Inter-site comparisons showed that concentrations of both antimicrobials were higher on the experimental site in the soil, earthworms, mice (livers), and European starling eggs, but not American kestrel eggs, compared to the control site. Inter-species comparisons on the experimental site indicated significantly higher TCC concentrations in mice (TCC: 12.6–33.3 ng/g) and in starling eggs (TCC: 15.4–31.4 ng/g) than in kestrel eggs (TCC: 3.6 ng/g). Nesting success of kestrels only was significantly lower on the experimental site compared to the reference site due to nest abandonment. This study demonstrates that biosolids-derived TCC and TCS are present throughout the terrestrial food web, including secondary (e.g., starlings) and tertiary (i.e., kestrels) consumers, after repeated, long-term biosolids application.</span></p>","language":"English","publisher":"ACS","doi":"10.1021/acs.est.6b01834","usgsCitation":"Sherburne, J.J., Anaya, A.M., Fernie, K.J., Forbey, J.S., Furlong, E.T., Kolpin, D.W., Dufty, A.M., and Kinney, C.A., 2016, Occurrence of triclocarban and triclosan in an agro-ecosystem following application of biosolids: Environmental Science & Technology, v. 50, no. 24, p. 13206-13214, https://doi.org/10.1021/acs.est.6b01834.","productDescription":"9 p.","startPage":"13206","endPage":"13214","ipdsId":"IP-077351","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":343553,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"24","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-05","publicationStatus":"PW","scienceBaseUri":"5965b26ce4b0d1f9f05b37f3","contributors":{"authors":[{"text":"Sherburne, Jessica J.","contributorId":194440,"corporation":false,"usgs":false,"family":"Sherburne","given":"Jessica","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":704136,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anaya, Amanda M.","contributorId":194441,"corporation":false,"usgs":false,"family":"Anaya","given":"Amanda","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":704137,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fernie, Kimberly J.","contributorId":176208,"corporation":false,"usgs":false,"family":"Fernie","given":"Kimberly","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":704138,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Forbey, Jennifer S.","contributorId":194442,"corporation":false,"usgs":false,"family":"Forbey","given":"Jennifer","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":704139,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":704140,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":704116,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dufty, Alfred M.","contributorId":194443,"corporation":false,"usgs":false,"family":"Dufty","given":"Alfred","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":704141,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kinney, Chad A.","contributorId":56952,"corporation":false,"usgs":true,"family":"Kinney","given":"Chad","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":704142,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70193635,"text":"70193635 - 2016 - Accurate recapture identification for genetic mark–recapture studies with error-tolerant likelihood-based match calling and sample clustering","interactions":[],"lastModifiedDate":"2017-11-13T14:58:13","indexId":"70193635","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3908,"text":"Royal Society Open Science","active":true,"publicationSubtype":{"id":10}},"title":"Accurate recapture identification for genetic mark–recapture studies with error-tolerant likelihood-based match calling and sample clustering","docAbstract":"<p><span>Error-tolerant likelihood-based match calling presents a promising technique to accurately identify recapture events in genetic mark–recapture studies by combining probabilities of latent genotypes and probabilities of observed genotypes, which may contain genotyping errors. Combined with clustering algorithms to group samples into sets of recaptures based upon pairwise match calls, these tools can be used to reconstruct accurate capture histories for mark–recapture modelling. Here, we assess the performance of a recently introduced error-tolerant likelihood-based match-calling model and sample clustering algorithm for genetic mark–recapture studies. We assessed both biallelic (i.e. single nucleotide polymorphisms; SNP) and multiallelic (i.e. microsatellite; MSAT) markers using a combination of simulation analyses and case study data on Pacific walrus (</span><i>Odobenus rosmarus divergens</i><span>) and fishers (</span><i>Pekania pennanti</i><span>). A novel two-stage clustering approach is demonstrated for genetic mark–recapture applications. First, repeat captures within a sampling occasion are identified. Subsequently, recaptures across sampling occasions are identified. The likelihood-based matching protocol performed well in simulation trials, demonstrating utility for use in a wide range of genetic mark–recapture studies. Moderately sized SNP (64+) and MSAT (10–15) panels produced accurate match calls for recaptures and accurate non-match calls for samples from closely related individuals in the face of low to moderate genotyping error. Furthermore, matching performance remained stable or increased as the number of genetic markers increased, genotyping error notwithstanding.</span></p>","language":"English","publisher":"The Royal Society Publishing","doi":"10.1098/rsos.160457","usgsCitation":"Sethi, S., Linden, D., Wenburg, J., Lewis, C., Lemons, P.R., Fuller, A.K., and Hare, M.P., 2016, Accurate recapture identification for genetic mark–recapture studies with error-tolerant likelihood-based match calling and sample clustering: Royal Society Open Science, v. 3, p. 1-14, https://doi.org/10.1098/rsos.160457.","productDescription":"Article 160457; 14 p.","startPage":"1","endPage":"14","ipdsId":"IP-076769","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470349,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rsos.160457","text":"Publisher Index Page"},{"id":348725,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc7de4b06e28e9c23f09","contributors":{"authors":[{"text":"Sethi, Suresh 0000-0002-0053-1827 ssethi@usgs.gov","orcid":"https://orcid.org/0000-0002-0053-1827","contributorId":191424,"corporation":false,"usgs":true,"family":"Sethi","given":"Suresh","email":"ssethi@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719697,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Linden, Daniel","contributorId":199671,"corporation":false,"usgs":false,"family":"Linden","given":"Daniel","affiliations":[],"preferred":false,"id":719698,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wenburg, John","contributorId":199672,"corporation":false,"usgs":false,"family":"Wenburg","given":"John","affiliations":[],"preferred":false,"id":719699,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lewis, Cara","contributorId":199673,"corporation":false,"usgs":false,"family":"Lewis","given":"Cara","affiliations":[],"preferred":false,"id":719700,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lemons, Patrick R.","contributorId":11014,"corporation":false,"usgs":true,"family":"Lemons","given":"Patrick","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":719701,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719703,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hare, Matthew P.","contributorId":171454,"corporation":false,"usgs":false,"family":"Hare","given":"Matthew","email":"","middleInitial":"P.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":719702,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70189339,"text":"70189339 - 2016 - Consequences of gas flux model choice on the interpretation of metabolic balance across 15 lakes","interactions":[],"lastModifiedDate":"2018-07-07T18:28:49","indexId":"70189339","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1999,"text":"Inland Waters","active":true,"publicationSubtype":{"id":10}},"title":"Consequences of gas flux model choice on the interpretation of metabolic balance across 15 lakes","docAbstract":"<p><span>Ecosystem metabolism and the contribution of carbon dioxide from lakes to the atmosphere can be estimated from free-water gas measurements through the use of mass balance models, which rely on a gas transfer coefficient (</span><i>k</i><span>) to model gas exchange with the atmosphere. Theoretical and empirically based models of<span>&nbsp;</span></span><i>k</i><span>range in complexity from wind-driven power functions to complex surface renewal models; however, model choice is rarely considered in most studies of lake metabolism. This study used high-frequency data from 15 lakes provided by the Global Lake Ecological Observatory Network (GLEON) to study how model choice of<span>&nbsp;</span></span><i>k</i><span>influenced estimates of lake metabolism and gas exchange with the atmosphere. We tested 6 models of<span>&nbsp;</span></span><i>k</i><span><span>&nbsp;</span>on lakes chosen to span broad gradients in surface area and trophic states; a metabolism model was then fit to all 6 outputs of<span>&nbsp;</span></span><i>k</i><span><span>&nbsp;</span>data. We found that hourly values for<span>&nbsp;</span></span><i>k</i><span><span>&nbsp;</span>were substantially different between models and, at an annual scale, resulted in significantly different estimates of lake metabolism and gas exchange with the atmosphere.</span></p>","language":"English","publisher":"International Society of Limnology","doi":"10.1080/IW-6.4.836","usgsCitation":"Dugan, H., Woolway, R., Santoso, A., Corman, J., Jaimes, A., Nodine, E., Patil, V.P., Zwart, J., Brentrup, J.A., Hetherington, A., Oliver, S., Read, J.S., Winter, K., Hanson, P., Read, E., Winslow, L., and Weathers, K., 2016, Consequences of gas flux model choice on the interpretation of metabolic balance across 15 lakes: Inland Waters, v. 6, no. 4, p. 581-592, https://doi.org/10.1080/IW-6.4.836.","productDescription":"12 p.","startPage":"581","endPage":"592","ipdsId":"IP-056410","costCenters":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"links":[{"id":470372,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/iw-6.4.836","text":"Publisher Index Page"},{"id":343583,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"4","noUsgsAuthors":false,"publicationDate":"2018-01-02","publicationStatus":"PW","scienceBaseUri":"5965b26be4b0d1f9f05b37ed","contributors":{"authors":[{"text":"Dugan, Hilary A.","contributorId":150191,"corporation":false,"usgs":false,"family":"Dugan","given":"Hilary","middleInitial":"A.","affiliations":[{"id":17938,"text":"Center for Limnology University of Wisconsin, Madison, WI 53706, US","active":true,"usgs":false}],"preferred":false,"id":704249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woolway, R. Iestyn","contributorId":150345,"corporation":false,"usgs":false,"family":"Woolway","given":"R. Iestyn","affiliations":[{"id":18007,"text":"Lake Ecosystems Group, Centre for Ecology & Hydrology, Lancaster Environment Centre, Library Avenue, Bailrigg, Lancaster, LA1 4AP, UK.","active":true,"usgs":false}],"preferred":false,"id":704250,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Santoso, Arianto","contributorId":194468,"corporation":false,"usgs":false,"family":"Santoso","given":"Arianto","email":"","affiliations":[],"preferred":false,"id":704251,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Corman, Jessica","contributorId":194469,"corporation":false,"usgs":false,"family":"Corman","given":"Jessica","affiliations":[],"preferred":false,"id":704252,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jaimes, Aline","contributorId":194470,"corporation":false,"usgs":false,"family":"Jaimes","given":"Aline","email":"","affiliations":[],"preferred":false,"id":704253,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nodine, Emily","contributorId":194471,"corporation":false,"usgs":false,"family":"Nodine","given":"Emily","email":"","affiliations":[],"preferred":false,"id":704254,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Patil, Vijay P. 0000-0002-9357-194X vpatil@usgs.gov","orcid":"https://orcid.org/0000-0002-9357-194X","contributorId":203676,"corporation":false,"usgs":true,"family":"Patil","given":"Vijay","email":"vpatil@usgs.gov","middleInitial":"P.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":704255,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zwart, Jacob A.","contributorId":173345,"corporation":false,"usgs":false,"family":"Zwart","given":"Jacob A.","affiliations":[{"id":16905,"text":"University of Notre Dame, Dept. of Biological Sciences, Notre Dame, IN, 46556, USA","active":true,"usgs":false}],"preferred":false,"id":704256,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Brentrup, Jennifer A.","contributorId":194457,"corporation":false,"usgs":false,"family":"Brentrup","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":704257,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hetherington, Amy","contributorId":150325,"corporation":false,"usgs":false,"family":"Hetherington","given":"Amy","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":704258,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Oliver, Samantha K.","contributorId":169273,"corporation":false,"usgs":false,"family":"Oliver","given":"Samantha K.","affiliations":[],"preferred":false,"id":704259,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Read, Jordan S. 0000-0002-3888-6631 jread@usgs.gov","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":4453,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","email":"jread@usgs.gov","middleInitial":"S.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":704260,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Winter, Kirsten","contributorId":194473,"corporation":false,"usgs":false,"family":"Winter","given":"Kirsten","email":"","affiliations":[],"preferred":false,"id":704261,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hanson, Paul","contributorId":194474,"corporation":false,"usgs":false,"family":"Hanson","given":"Paul","affiliations":[],"preferred":false,"id":704262,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Read, Emily 0000-0002-9617-9433 eread@usgs.gov","orcid":"https://orcid.org/0000-0002-9617-9433","contributorId":190110,"corporation":false,"usgs":true,"family":"Read","given":"Emily","email":"eread@usgs.gov","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":704263,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Winslow, Luke 0000-0002-8602-5510 lwinslow@usgs.gov","orcid":"https://orcid.org/0000-0002-8602-5510","contributorId":168947,"corporation":false,"usgs":true,"family":"Winslow","given":"Luke","email":"lwinslow@usgs.gov","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":704264,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Weathers, Kathleen","contributorId":191961,"corporation":false,"usgs":false,"family":"Weathers","given":"Kathleen","affiliations":[{"id":7188,"text":"Cary Institute of Ecosystem Studies, Millbrook, NY, USA","active":true,"usgs":false}],"preferred":false,"id":704265,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70189338,"text":"70189338 - 2016 - The potential of high-frequency profiling to assess vertical and seasonal patterns of phytoplankton dynamics in lakes: An extension of the Plankton Ecology Group (PEG) model","interactions":[],"lastModifiedDate":"2018-10-20T12:29:35","indexId":"70189338","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1999,"text":"Inland Waters","active":true,"publicationSubtype":{"id":10}},"title":"The potential of high-frequency profiling to assess vertical and seasonal patterns of phytoplankton dynamics in lakes: An extension of the Plankton Ecology Group (PEG) model","docAbstract":"<p><span>The use of high-frequency sensors on profiling buoys to investigate physical, chemical, and biological processes in lakes is increasing rapidly. Profiling buoys with automated winches and sensors that collect high-frequency chlorophyll fluorescence (ChlF) profiles in 11 lakes in the Global Lake Ecological Observatory Network (GLEON) allowed the study of the vertical and temporal distribution of ChlF, including the formation of subsurface chlorophyll maxima (SSCM). The effectiveness of 3 methods for sampling phytoplankton distributions in lakes, including (1) manual profiles, (2) single-depth buoys, and (3) profiling buoys were assessed. High-frequency ChlF surface data and profiles were compared to predictions from the Plankton Ecology Group (PEG) model. The depth-integrated ChlF dynamics measured by the profiling buoy data revealed a greater complexity that neither conventional sampling nor the generalized PEG model captured. Conventional sampling techniques would have missed SSCM in 7 of 11 study lakes. Although surface-only ChlF data underestimated average water column ChlF, at times by nearly 2-fold in 4 of the lakes, overall there was a remarkable similarity between surface and mean water column data. Contrary to the PEG model’s proposed negligible role for physical control of phytoplankton during the growing season, thermal structure and light availability were closely associated with ChlF seasonal depth distribution. Thus, an extension of the PEG model is proposed, with a new conceptual framework that explicitly includes physical metrics to better predict SSCM formation in lakes and highlight when profiling buoys are especially informative.</span></p>","language":"English","publisher":"International Society of Limnology","doi":"10.5268/IW-6.4.890","usgsCitation":"Brentrup, J.A., Williamson, C.E., Colom-Montero, W., Eckert, W., de Eyto, E., Grossart, H., Huot, Y., Isles, P., Knoll, L.B., Leach, T.H., McBride, C.G., Pierson, D., Pomati, F., Read, J.S., Rose, K.C., Samal, N.R., Staehr, P.A., and Winslow, L.A., 2016, The potential of high-frequency profiling to assess vertical and seasonal patterns of phytoplankton dynamics in lakes: An extension of the Plankton Ecology Group (PEG) model: Inland Waters, v. 6, no. 4, p. 565-580, https://doi.org/10.5268/IW-6.4.890.","productDescription":"16 p.","startPage":"565","endPage":"580","ipdsId":"IP-065599","costCenters":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"links":[{"id":343581,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"4","noUsgsAuthors":false,"publicationDate":"2018-06-07","publicationStatus":"PW","scienceBaseUri":"5965b26be4b0d1f9f05b37ef","contributors":{"authors":[{"text":"Brentrup, Jennifer A.","contributorId":194457,"corporation":false,"usgs":false,"family":"Brentrup","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":704231,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williamson, Craig E.","contributorId":146436,"corporation":false,"usgs":false,"family":"Williamson","given":"Craig","email":"","middleInitial":"E.","affiliations":[{"id":16608,"text":"Miami University","active":true,"usgs":false}],"preferred":false,"id":704232,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Colom-Montero, William","contributorId":194458,"corporation":false,"usgs":false,"family":"Colom-Montero","given":"William","email":"","affiliations":[],"preferred":false,"id":704233,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eckert, Werner","contributorId":194459,"corporation":false,"usgs":false,"family":"Eckert","given":"Werner","email":"","affiliations":[],"preferred":false,"id":704234,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"de Eyto, Elvira","contributorId":166838,"corporation":false,"usgs":false,"family":"de Eyto","given":"Elvira","email":"","affiliations":[{"id":24549,"text":"Fisheries Ecosystems Advisory Services, Marine Institute, Furnace, Newport, Co. Mayo, Ireland.","active":true,"usgs":false}],"preferred":false,"id":704235,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grossart, Hans-Peter 0000-0002-9141-0325","orcid":"https://orcid.org/0000-0002-9141-0325","contributorId":194460,"corporation":false,"usgs":false,"family":"Grossart","given":"Hans-Peter","email":"","affiliations":[],"preferred":false,"id":704236,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huot, Yannick","contributorId":194461,"corporation":false,"usgs":false,"family":"Huot","given":"Yannick","email":"","affiliations":[],"preferred":false,"id":704237,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Isles, Peter D. F.","contributorId":194462,"corporation":false,"usgs":false,"family":"Isles","given":"Peter D. F.","affiliations":[],"preferred":false,"id":704238,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Knoll, Lesley B. 0000-0003-0347-5979","orcid":"https://orcid.org/0000-0003-0347-5979","contributorId":194463,"corporation":false,"usgs":false,"family":"Knoll","given":"Lesley","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":704239,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Leach, Taylor H.","contributorId":194464,"corporation":false,"usgs":false,"family":"Leach","given":"Taylor","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":704240,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McBride, Christopher G.","contributorId":130977,"corporation":false,"usgs":false,"family":"McBride","given":"Christopher","email":"","middleInitial":"G.","affiliations":[{"id":7184,"text":"Environmental Research Institute, University of Waikato, Hamilton, New Zealand","active":true,"usgs":false}],"preferred":false,"id":704241,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Pierson, Don","contributorId":194465,"corporation":false,"usgs":false,"family":"Pierson","given":"Don","email":"","affiliations":[],"preferred":false,"id":704242,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Pomati, Francesco","contributorId":194466,"corporation":false,"usgs":false,"family":"Pomati","given":"Francesco","email":"","affiliations":[],"preferred":false,"id":704243,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Read, Jordan S. 0000-0002-3888-6631 jread@usgs.gov","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":4453,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","email":"jread@usgs.gov","middleInitial":"S.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":704244,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Rose, Kevin C.","contributorId":174809,"corporation":false,"usgs":false,"family":"Rose","given":"Kevin","email":"","middleInitial":"C.","affiliations":[{"id":12656,"text":"Rensselaer Polytechnic Institute","active":true,"usgs":false}],"preferred":false,"id":704245,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Samal, Nihar R.","contributorId":150303,"corporation":false,"usgs":false,"family":"Samal","given":"Nihar","email":"","middleInitial":"R.","affiliations":[{"id":17977,"text":"Institute for Sustainable Cities, City University of New York, New York, USA","active":true,"usgs":false}],"preferred":false,"id":704246,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Staehr, Peter A.","contributorId":194467,"corporation":false,"usgs":false,"family":"Staehr","given":"Peter","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":704247,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Winslow, Luke A. 0000-0002-8602-5510 lwinslow@usgs.gov","orcid":"https://orcid.org/0000-0002-8602-5510","contributorId":5919,"corporation":false,"usgs":true,"family":"Winslow","given":"Luke","email":"lwinslow@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":false,"id":704248,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
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