{"pageNumber":"1020","pageRowStart":"25475","pageSize":"25","recordCount":165496,"records":[{"id":70188599,"text":"70188599 - 2016 - Introduction to the special issue on the 25 April 2015 Mw 7.8 Gorkha(Nepal) earthquake","interactions":[],"lastModifiedDate":"2017-10-08T11:46:57","indexId":"70188599","displayToPublicDate":"2016-11-02T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3525,"text":"Tectonophysics","active":true,"publicationSubtype":{"id":10}},"title":"Introduction to the special issue on the 25 April 2015 Mw 7.8 Gorkha(Nepal) earthquake","docAbstract":"On April 25, 2015, a moment magnitude (Mw) 7.8 earthquake struck central Nepal, breaking a section of the broader Himalayan Front that had been largely quiescent in moderate-to-large earthquakes for much of the modern seismological era. Ground shaking associated with the event resulted in a broad distribution of triggered avalanches and landslides. The ensuing aftershock sequence was punctuated by a Mw 7.3 event 17 days after the mainshock. The combined effects of these earthquakes and secondary hazards have led to the Gorkha earthquake becoming the worst natural disaster in Nepal since the 1934 Nepal-Bihar earthquake, causing close to 9000 deaths and severely injuring over 21,000 people (OCHA, 2015).
Despite the devastating effects of this earthquake, the convergent margin that hosted it is thought to be capable of much larger ruptures—perhaps as large as Mw 9 (Feldl and Bilham, 2006). The 2015 Gorkha rupture lies just to the west of the 1934 M 8.0–8.4 event (Sapkota et al., 2013; Bollinger et al., 2014). Unlike the 1934 event, which has been documented in paleoseismic trenches along the Himalayan Front (e.g., Sapkota et al., 2013), and other large ruptures along the arc (e.g., Lavé et al., 2005; Kumar et al., 2006), the 2015 event did not rupture to the surface (e.g., Galetzka et al., 2015). As a result, some researchers have suggested that the Gorkha earthquake was not as large, or as damaging, as might have been expected based on our (albeit limited) understanding of historic earthquakes, seismic hazard and risk (e.g., Bilham, 2015; Hough, 2015).
Important questions surrounding the earthquake and its regional setting thus arise. What were the detailed characteristics of the rupture and the aftershock sequence, and what is the relationship between mainshock slip and subsequent seismicity? Why did this event not rupture to the surface? Was damage less than should have been expected; and if so, why? What role did path effects, such as basin amplification, play? Do details of the earthquake sequence allow us to better understand regional seismotectonics, and in turn, future risk? Discussion of these and other issues has been ongoing since the earthquake; a large body of literature already exists that characterizes details of the earthquake sequence and its effects. This special issue attempts to gather a wide variety of detailed studies that wholly characterize this event to a degree that has not yet been possible. The studies herein provide an improved understanding of the Gorkha earthquake, its impact on the region, and its place in the broader seismotectonic history of the Himalayan Front.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.tecto.2016.10.033","usgsCitation":"Hayes, G.P., and Briggs, R.W., 2016, Introduction to the special issue on the 25 April 2015 Mw 7.8 Gorkha(Nepal) earthquake: Tectonophysics, v. 714-715, p. 1-3, https://doi.org/10.1016/j.tecto.2016.10.033.","productDescription":"3 p. ","startPage":"1","endPage":"3","ipdsId":"IP-080779","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":342607,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Nepal","city":"Gorkha","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[88.12044,27.87654],[88.04313,27.44582],[88.1748,26.81041],[88.06024,26.41462],[87.22747,26.3979],[86.02439,26.63098],[85.25178,26.7262],[84.67502,27.2349],[83.30425,27.36451],[81.99999,27.92548],[81.0572,28.4161],[80.08842,28.79447],[80.47672,29.72987],[81.11126,30.18348],[81.5258,30.42272],[82.32751,30.11527],[83.33712,29.46373],[83.89899,29.32023],[84.23458,28.83989],[85.01164,28.64277],[85.82332,28.20358],[86.95452,27.97426],[88.12044,27.87654]]]},\"properties\":{\"name\":\"Nepal\"}}]}","volume":"714-715","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5944ee17e4b062508e33360b","contributors":{"authors":[{"text":"Hayes, Gavin P. 0000-0003-3323-0112 ghayes@usgs.gov","orcid":"https://orcid.org/0000-0003-3323-0112","contributorId":147556,"corporation":false,"usgs":true,"family":"Hayes","given":"Gavin","email":"ghayes@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":698512,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":139002,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":698513,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192498,"text":"70192498 - 2016 - Light Goose Conservation Order effects on nontarget waterfowl behavior and energy expenditure","interactions":[],"lastModifiedDate":"2017-10-30T11:13:13","indexId":"70192498","displayToPublicDate":"2016-11-02T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":" Light Goose Conservation Order effects on nontarget waterfowl behavior and energy expenditure","docAbstract":"When the Light Goose Conservation Order (LGCO) was established during 1999 in the Rainwater Basin of Nebraska, USA, LGCO activities were limited to 4 days/week and 16 public wetlands were closed to the LGCO to limit disturbance to nontarget waterfowl during this energetically important time period. However, the effects of LGCO activities on waterfowl behavior and energy expenditure are relatively unknown in this critical waterfowl staging area. To evaluate LGCO effects on target and nontarget species, we paired wetlands open and closed to LGCO and recorded waterfowl behavior and hunter encounters during springs 2011 and 2012. We constructed hourly energy expenditure models based on behavior data collected for mallards (Anas platyrhynchos) and northern pintails (A. acuta). In 2011, dabbling ducks (Anas spp.) spent more time feeding and less time resting in wetlands closed to hunting during early season when the majority of hunting encounters occurred; behaviors did not differ between hunt categories during late season when hunting activities subsided. However, in 2012, dabbling ducks spent more time feeding and less time resting in wetlands open to hunting during early and late seasons. We detected no differences in behaviors of lesser snow geese (Chen caerulescens) or greater white-fronted geese (Anser albifrons) between hunting categories in early season. Mallards had slightly greater energy expenditure on wetlands closed to hunting (![\"math](\"http://onlinelibrary.wiley.com/store/10.1002/wsb.704/asset/equation/wsb704-math-0004.png?v=1&s=7ad02ca916ca9968e7ede77f6a01513319795a9c\")
= 38.94 ± 0.31 kJ/bird/hr), compared with wetlands open to hunting ( = 37.87 ± 0.32 kJ/bird/hr); therefore, greater energy spent by mallards cannot be attributed to hunting disturbance. We also detected no differences in dabbling duck behavior or energy expenditure between days open or closed to hunting in the region. A refuge system of wetlands closed to LGCO activities in the Rainwater Basin may be an important management strategy in providing reduced disturbance for nontarget waterfowl species in some years. Published 2016. This article is a U.S. Government work and is in the public domain in the USA.
","language":"English","publisher":"Wiley","doi":"10.1002/wsb.704","usgsCitation":"Dinges, A.J., Webb, E.B., and Vrtiska, M.P., 2016, Light Goose Conservation Order effects on nontarget waterfowl behavior and energy expenditure: Wildlife Society Bulletin, v. 40, no. 4, p. 694-704, https://doi.org/10.1002/wsb.704.","productDescription":"11 p.","startPage":"694","endPage":"704","ipdsId":"IP-065245","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":499900,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/b799acf54ffe4e03877db7aa149ef52f","text":"External Repository"},{"id":347505,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"Rainwater Basin","volume":"40","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-02","publicationStatus":"PW","scienceBaseUri":"59f83a3ae4b063d5d30980f9","contributors":{"authors":[{"text":"Dinges, Andrew J.","contributorId":145935,"corporation":false,"usgs":false,"family":"Dinges","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":716467,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":716079,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vrtiska, Mark P.","contributorId":54008,"corporation":false,"usgs":true,"family":"Vrtiska","given":"Mark","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":716468,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70177172,"text":"ds1024 - 2016 - Characterization of sediment and measurement of groundwater levels and temperatures, Camas National Wildlife Refuge, eastern Idaho","interactions":[],"lastModifiedDate":"2016-11-03T07:32:31","indexId":"ds1024","displayToPublicDate":"2016-11-02T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1024","title":"Characterization of sediment and measurement of groundwater levels and temperatures, Camas National Wildlife Refuge, eastern Idaho","docAbstract":"The Camas National Wildlife Refuge (Refuge) in eastern Idaho, established in 1937, contains wetlands, ponds, and wet meadows that are essential resting and feeding habitat for migratory birds and nesting habitat for waterfowl. Initially, natural sources of water supported these habitats. However, during the past few decades, climate change and changes in surrounding land use have altered and reduced natural groundwater and surface water inflows such that the wetlands, ponds, and wet meadows are now maintained through water management and groundwater pumping. These water management activities have proven to be inefficient and costly, prompting the Refuge to develop alternative water management options that are more efficient and less expensive. The U.S. Geological Survey, in cooperation with the U.S. Fish and Wildlife Service, is studying the hydrogeology at the Refuge to provide information for developing alternative water management options.
The hydrogeologic studies at the Refuge included characterizing the type, distribution, and hydraulic conductivity of surficial sediments and measuring water levels and temperatures in monitoring wells. Four monitoring wells and seven soil probe coreholes were drilled at the Refuge. Seven water level and temperature data loggers were installed in the wells and water levels and temperatures were continuously recorded from November 2014 to June 2016. Sediment cores were collected from the coreholes and sediment type and distribution were characterized from drillers’ notes, geophysical logs, corehole samples, and particle grain-size analysis. The hydraulic conductivities of sediments were estimated using the measured average grain size and the assumed textural maturity of the sediment, and ranged from about 20 to 290 feet per day.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1024","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Twining, B.V., and Rattray, G.W., 2016, Characterization of sediment and measurement of groundwater levels and temperatures, Camas National Wildlife Refuge, eastern Idaho: U.S. Geological Survey Data Series 1024, 23 p.,\nhttps://dx.doi.org/10.3133/ds1024.","productDescription":"Report: v, 23 p.; Appendix","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-078192","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":330654,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1024/ds1024.pdf","text":"Report","size":"1.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1024"},{"id":330653,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1024/coverthb.jpg"},{"id":330655,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/1024/ds1024_appendixa.pdf","text":"Appendix A","size":"7.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1024 Appendix A"}],"country":"United States","state":"Idaho","otherGeospatial":"Camas National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.2480010986328,\n 43.99318499277654\n ],\n [\n -112.23066329956055,\n 43.99306149560464\n ],\n [\n -112.22946166992188,\n 43.98194569774652\n ],\n [\n -112.24285125732422,\n 43.98219273809204\n ],\n [\n -112.24250793457031,\n 43.97836349721919\n ],\n [\n -112.24748611450195,\n 43.97823996920823\n ],\n [\n -112.24817276000977,\n 43.9576071863508\n ],\n [\n -112.22328186035156,\n 43.95797789836312\n ],\n [\n -112.21710205078125,\n 43.939439464527474\n ],\n [\n -112.2169303894043,\n 43.92794273182484\n ],\n [\n -112.22705841064453,\n 43.92769546584876\n ],\n [\n -112.22688674926758,\n 43.921018895951235\n ],\n [\n -112.24164962768555,\n 43.92089524870123\n ],\n [\n -112.24164962768555,\n 43.917309366668476\n ],\n [\n -112.24714279174805,\n 43.917185711709344\n ],\n [\n -112.24714279174805,\n 43.899500406811846\n ],\n [\n -112.2776985168457,\n 43.8997477899657\n ],\n [\n -112.27787017822266,\n 43.902839992663196\n ],\n [\n -112.28233337402344,\n 43.90321104619439\n ],\n [\n -112.28250503540038,\n 43.90642674658866\n ],\n [\n -112.28748321533203,\n 43.90667410096243\n ],\n [\n -112.28765487670898,\n 43.91001328440555\n ],\n [\n -112.30258941650389,\n 43.910136954268836\n ],\n [\n -112.30224609374999,\n 43.906797777763856\n ],\n [\n -112.31306076049803,\n 43.90667410096243\n ],\n [\n -112.31271743774414,\n 43.92448091462121\n ],\n [\n -112.3077392578125,\n 43.924851833243785\n ],\n [\n -112.30791091918945,\n 43.92794273182484\n ],\n [\n -112.29246139526367,\n 43.92880815464654\n ],\n [\n -112.29314804077148,\n 43.942653207310386\n ],\n [\n -112.30241775512695,\n 43.942653207310386\n ],\n [\n -112.30224609374999,\n 43.957236472025635\n ],\n [\n -112.29280471801758,\n 43.9576071863508\n ],\n [\n -112.29297637939453,\n 43.96502098715404\n ],\n [\n -112.27924346923827,\n 43.96477387536573\n ],\n [\n -112.27684020996094,\n 43.96625653067646\n ],\n [\n -112.27237701416016,\n 43.96625653067646\n ],\n [\n -112.27117538452148,\n 43.965268097914425\n ],\n [\n -112.26688385009766,\n 43.965268097914425\n ],\n [\n -112.26671218872069,\n 43.96810979777519\n ],\n [\n -112.26448059082031,\n 43.970951361689934\n ],\n [\n -112.25761413574219,\n 43.97144553284128\n ],\n [\n -112.25812911987305,\n 43.97836349721919\n ],\n [\n -112.25263595581055,\n 43.979104659888236\n ],\n [\n -112.25366592407227,\n 43.98169865637306\n ],\n [\n -112.26327896118164,\n 43.98219273809204\n ],\n [\n -112.26327896118164,\n 43.98540416903878\n ],\n [\n -112.25263595581055,\n 43.98614524381678\n ],\n [\n -112.25332260131836,\n 43.98923295580709\n ],\n [\n -112.2480010986328,\n 43.98972697481996\n ],\n [\n -112.2480010986328,\n 43.99318499277654\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Road
Boise, Idaho 83702
http://id.water.usgs.gov
","tableOfContents":"- Abstract
- Introduction
- Methods
- Characterization of Sediment
- Groundwater Levels and Temperatures
- Summary
- Acknowledgments
- References Cited
- Appendix A. Results of Particle-Grain Size Analyses on 49 Sediment Samples That Were Separated from the Seven Soil Probe Sediment Cores
","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2016-11-02","noUsgsAuthors":false,"publicationDate":"2016-11-02","publicationStatus":"PW","scienceBaseUri":"581afb67e4b0bb36a4ca665b","contributors":{"authors":[{"text":"Twining, Brian V. 0000-0003-1321-4721 btwining@usgs.gov","orcid":"https://orcid.org/0000-0003-1321-4721","contributorId":2387,"corporation":false,"usgs":true,"family":"Twining","given":"Brian","email":"btwining@usgs.gov","middleInitial":"V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":651438,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rattray, Gordon W. 0000-0002-1690-3218 grattray@usgs.gov","orcid":"https://orcid.org/0000-0002-1690-3218","contributorId":2521,"corporation":false,"usgs":true,"family":"Rattray","given":"Gordon","email":"grattray@usgs.gov","middleInitial":"W.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":651437,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70178081,"text":"70178081 - 2016 - Exploiting differential vegetation phenology for satellite-based mapping of semiarid grass vegetation in the southwestern United States and northern Mexico","interactions":[],"lastModifiedDate":"2016-11-02T10:55:52","indexId":"70178081","displayToPublicDate":"2016-11-02T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Exploiting differential vegetation phenology for satellite-based mapping of semiarid grass vegetation in the southwestern United States and northern Mexico","docAbstract":"We developed and evaluated a methodology for subpixel discrimination and large-area mapping of the perennial warm-season (C4) grass component of vegetation cover in mixed-composition landscapes of the southwestern United States and northern Mexico. We describe the methodology within a general, conceptual framework that we identify as the differential vegetation phenology (DVP) paradigm. We introduce a DVP index, the Normalized Difference Phenometric Index (NDPI) that provides vegetation type-specific information at the subpixel scale by exploiting differential patterns of vegetation phenology detectable in time-series spectral vegetation index (VI) data from multispectral land imagers. We used modified soil-adjusted vegetation index (MSAVI2) data from Landsat to develop the NDPI, and MSAVI2 data from MODIS to compare its performance relative to one alternate DVP metric (difference of spring average MSAVI2 and summer maximum MSAVI2), and two simple, conventional VI metrics (summer average MSAVI2, summer maximum MSAVI2). The NDPI in a scaled form (NDPIs) performed best in predicting variation in perennial C4 grass cover as estimated from landscape photographs at 92 sites (R2 = 0.76, p < 0.001), indicating improvement over the alternate DVP metric (R2 = 0.73, p < 0.001) and substantial improvement over the two conventional VI metrics (R2 = 0.62 and 0.56, p < 0.001). The results suggest DVP-based methods, and the NDPI in particular, can be effective for subpixel discrimination and mapping of exposed perennial C4 grass cover within mixed-composition landscapes of the Southwest, and potentially for monitoring of its response to drought, climate change, grazing and other factors, including land management. With appropriate adjustments, the method could potentially be used for subpixel discrimination and mapping of grass or other vegetation types in other regions where the vegetation components of the landscape exhibit contrasting seasonal patterns of phenology.
","language":"English","publisher":"MDPI","doi":"10.3390/rs8110889","usgsCitation":"Dye, D.G., Middleton, B.R., Vogel, J.M., Wu, Z., and Velasco, M.G., 2016, Exploiting differential vegetation phenology for satellite-based mapping of semiarid grass vegetation in the southwestern United States and northern Mexico: Remote Sensing, v. 8, no. 11, p. 1-33, https://doi.org/10.3390/rs8110889.","productDescription":"Article 889; 33 p.","startPage":"1","endPage":"33","ipdsId":"IP-069667","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":470445,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs8110889","text":"Publisher Index Page"},{"id":330648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Arizona","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112,\n 31\n ],\n [\n -112,\n 33\n ],\n [\n -110,\n 33\n ],\n [\n -110,\n 31\n ],\n [\n -112,\n 31\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-28","publicationStatus":"PW","scienceBaseUri":"581afb64e4b0bb36a4ca664b","contributors":{"authors":[{"text":"Dye, Dennis G. 0000-0002-7100-272X ddye@usgs.gov","orcid":"https://orcid.org/0000-0002-7100-272X","contributorId":4233,"corporation":false,"usgs":true,"family":"Dye","given":"Dennis","email":"ddye@usgs.gov","middleInitial":"G.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":652712,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Middleton, Barry R. 0000-0001-8924-4121 bmiddleton@usgs.gov","orcid":"https://orcid.org/0000-0001-8924-4121","contributorId":3947,"corporation":false,"usgs":true,"family":"Middleton","given":"Barry","email":"bmiddleton@usgs.gov","middleInitial":"R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":652713,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vogel, John M. 0000-0002-8226-1188 jvogel@usgs.gov","orcid":"https://orcid.org/0000-0002-8226-1188","contributorId":3167,"corporation":false,"usgs":true,"family":"Vogel","given":"John","email":"jvogel@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":652714,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wu, Zhuoting 0000-0001-7393-1832 zwu@usgs.gov","orcid":"https://orcid.org/0000-0001-7393-1832","contributorId":4953,"corporation":false,"usgs":true,"family":"Wu","given":"Zhuoting","email":"zwu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":498,"text":"Office of Land Remote Sensing (Geography)","active":true,"usgs":true}],"preferred":true,"id":652715,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Velasco, Miguel G. 0000-0003-2559-7934 mvelasco@usgs.gov","orcid":"https://orcid.org/0000-0003-2559-7934","contributorId":2103,"corporation":false,"usgs":true,"family":"Velasco","given":"Miguel","email":"mvelasco@usgs.gov","middleInitial":"G.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":652716,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70178097,"text":"70178097 - 2016 - The automated reference toolset: A soil-geomorphic ecological potential matching algorithm","interactions":[],"lastModifiedDate":"2016-11-02T15:03:07","indexId":"70178097","displayToPublicDate":"2016-11-02T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3420,"text":"Soil Science Society of America Journal","active":true,"publicationSubtype":{"id":10}},"title":"The automated reference toolset: A soil-geomorphic ecological potential matching algorithm","docAbstract":"Ecological inventory and monitoring data need referential context for interpretation. Identification of appropriate reference areas of similar ecological potential for site comparison is demonstrated using a newly developed automated reference toolset (ART). Foundational to identification of reference areas was a soil map of particle size in the control section (PSCS), a theme in US Soil Taxonomy. A 30-m resolution PSCS map of the Colorado Plateau (366,000 km2) was created by interpolating ∼5000 field soil observations using a random forest model and a suite of raster environmental spatial layers representing topography, climate, general ecological community, and satellite imagery ratios. The PSCS map had overall out of bag accuracy of 61.8% (Kappa of 0.54, p < 0.0001), and an independent validation accuracy of 93.2% at a set of 356 field plots along the southern edge of Canyonlands National Park, Utah. The ART process was also tested at these plots, and matched plots with the same ecological sites (ESs) 67% of the time where sites fell within 2-km buffers of each other. These results show that the PSCS and ART have strong application for ecological monitoring and sampling design, as well as assessing impacts of disturbance and land management action using an ecological potential framework. Results also demonstrate that PSCS could be a key mapping layer for the USDA-NRCS provisional ES development initiative.
","language":"English","publisher":"Soil Science Society of America","doi":"10.2136/sssaj2016.05.0151","usgsCitation":"Nauman, T.W., and Duniway, M.C., 2016, The automated reference toolset: A soil-geomorphic ecological potential matching algorithm: Soil Science Society of America Journal, v. 80, no. 5, p. 1317-1328, https://doi.org/10.2136/sssaj2016.05.0151.","productDescription":"12 p.","startPage":"1317","endPage":"1328","ipdsId":"IP-076162","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":438514,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7XS5SW0","text":"USGS data release","linkHelpText":"Automated Reference Toolset (ART)Data"},{"id":330664,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-13","publicationStatus":"PW","scienceBaseUri":"581afb63e4b0bb36a4ca6649","contributors":{"authors":[{"text":"Nauman, Travis W. 0000-0001-8004-0608 tnauman@usgs.gov","orcid":"https://orcid.org/0000-0001-8004-0608","contributorId":169241,"corporation":false,"usgs":true,"family":"Nauman","given":"Travis","email":"tnauman@usgs.gov","middleInitial":"W.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":652733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":652734,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70201618,"text":"70201618 - 2016 - Carbon dioxide fluxes reflect plant zonation and belowground biomass in a coastal marsh","interactions":[],"lastModifiedDate":"2018-12-18T16:03:17","indexId":"70201618","displayToPublicDate":"2016-11-01T16:03:07","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":"Carbon dioxide fluxes reflect plant zonation and belowground biomass in a coastal marsh","docAbstract":"Coastal wetlands are major global carbon sinks; however, they are heterogeneous and dynamic ecosystems. To characterize spatial and temporal variability in a New England salt marsh, greenhouse gas (GHG) fluxes were compared among major plant‐defined zones during growing seasons. Carbon dioxide (CO2) and methane (CH4) fluxes were compared in two mensurative experiments during summer months (2012–2014) that included low marsh (Spartina alterniflora), high marsh (Distichlis spicata and Juncus gerardii‐dominated), invasive Phragmites australis zones, and unvegetated ponds. Day‐ and nighttime fluxes were also contrasted in the native marsh zones. N2O fluxes were measured in parallel with CO2 and CH4 fluxes, but were not found to be significant. To test the relationships of CO2 and CH4 fluxes with several native plant metrics, a multivariate nonlinear model was used. Invasive P. australis zones (−7 to −15 μmol CO2·m−2·s−1) and S. alterniflora low marsh zones (up to −14 μmol CO2·m−2·s−1) displayed highest average CO2 uptake rates, while those in the native high marsh zone (less than −2 μmol CO2·m−2·s−1) were much lower. Unvegetated ponds were typically small sources of CO2 to the atmosphere (<0.5 μmol CO2·m−2·s−1). Nighttime emissions of CO2 averaged only 35% of daytime uptake in the low marsh zone, but they exceeded daytime CO2 uptake by up to threefold in the native high marsh zone. Based on modeling, belowground biomass was the plant metric most strongly correlated with CO2fluxes in native marsh zones, while none of the plant variables correlated significantly with CH4 fluxes. Methane fluxes did not vary between day and night and did not significantly offset CO2 uptake in any vegetated marsh zones based on sustained global warming potential calculations. These findings suggest that attention to spatial zonation as well as expanded measurements and modeling of GHG emissions across greater temporal scales will help to improve accuracy of carbon accounting in coastal marshes.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1560","usgsCitation":"Moseman-Valtierra, S., Abdul-Aziz, O.I., Tang, J., Ishtiaq, K.S., Morkeski, K., Mora, J., Quinn, R.K., Martin, R.M., Egan, K., Brannon, E.Q., Carey, J.C., and Kroeger, K.D., 2016, Carbon dioxide fluxes reflect plant zonation and belowground biomass in a coastal marsh: Ecosphere, v. 7, no. 11, p. 1-21, https://doi.org/10.1002/ecs2.1560.","productDescription":"e01560; 21 p.","startPage":"1","endPage":"21","ipdsId":"IP-079205","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470446,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1560","text":"Publisher Index Page"},{"id":360522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","city":"Falmouth","otherGeospatial":"Waquoit Bay National Estuarine Research Reserve","volume":"7","issue":"11","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-15","publicationStatus":"PW","scienceBaseUri":"5c1a1535e4b0708288c23546","contributors":{"authors":[{"text":"Moseman-Valtierra, Serena","contributorId":140087,"corporation":false,"usgs":false,"family":"Moseman-Valtierra","given":"Serena","email":"","affiliations":[{"id":6923,"text":"University of Rhode Island, Kingston, RI","active":true,"usgs":false}],"preferred":false,"id":754615,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abdul-Aziz, Omar I.","contributorId":192386,"corporation":false,"usgs":false,"family":"Abdul-Aziz","given":"Omar","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":754616,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tang, Jianwu","contributorId":174890,"corporation":false,"usgs":false,"family":"Tang","given":"Jianwu","email":"","affiliations":[{"id":27818,"text":"The Ecosystems Center, Marine Biological Laboratory. Woods Hole, MA 02543.","active":true,"usgs":false}],"preferred":false,"id":754617,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ishtiaq, Khandker S.","contributorId":211669,"corporation":false,"usgs":false,"family":"Ishtiaq","given":"Khandker","email":"","middleInitial":"S.","affiliations":[{"id":38311,"text":"Department of Civil and Environmental Engineering, West Virginia University, PO Box 6103, Morgantown, WV 26506","active":true,"usgs":false}],"preferred":false,"id":754618,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morkeski, Kate","contributorId":210613,"corporation":false,"usgs":false,"family":"Morkeski","given":"Kate","email":"","affiliations":[{"id":38120,"text":"Marine Chemistry and Geochemistry, Woods Hole Oceanographic Institution, 266 Woods Hole Road, Woods Hole, MA 02543, USA","active":true,"usgs":false}],"preferred":false,"id":754619,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mora, Jordan","contributorId":208060,"corporation":false,"usgs":false,"family":"Mora","given":"Jordan","email":"","affiliations":[{"id":37699,"text":"Waquoit Bay National Estuarine Research Reserve, Waquoit, Mass","active":true,"usgs":false}],"preferred":false,"id":754620,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Quinn, Ryan K.","contributorId":211670,"corporation":false,"usgs":false,"family":"Quinn","given":"Ryan","email":"","middleInitial":"K.","affiliations":[{"id":38312,"text":"Department of Biological Sciences, University of Rhode Island, 120 Flagg Road, Kingston, RI 02881","active":true,"usgs":false}],"preferred":false,"id":754621,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Martin, Rose M.","contributorId":211671,"corporation":false,"usgs":false,"family":"Martin","given":"Rose","email":"","middleInitial":"M.","affiliations":[{"id":38313,"text":"Atlantic Ecology Division, Environmental Protection Agency, 27 Tarzwell Dr. Narragansett, RI","active":true,"usgs":false}],"preferred":false,"id":754622,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Egan, Katharine","contributorId":211672,"corporation":false,"usgs":false,"family":"Egan","given":"Katharine","email":"","affiliations":[{"id":38312,"text":"Department of Biological Sciences, University of Rhode Island, 120 Flagg Road, Kingston, RI 02881","active":true,"usgs":false}],"preferred":false,"id":754623,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Brannon, Elizabeth Q.","contributorId":211673,"corporation":false,"usgs":false,"family":"Brannon","given":"Elizabeth","email":"","middleInitial":"Q.","affiliations":[{"id":38312,"text":"Department of Biological Sciences, University of Rhode Island, 120 Flagg Road, Kingston, RI 02881","active":true,"usgs":false}],"preferred":false,"id":754624,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Carey, Joanna C.","contributorId":177397,"corporation":false,"usgs":false,"family":"Carey","given":"Joanna","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":754625,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kroeger, Kevin D. 0000-0002-4272-2349 kkroeger@usgs.gov","orcid":"https://orcid.org/0000-0002-4272-2349","contributorId":1603,"corporation":false,"usgs":true,"family":"Kroeger","given":"Kevin","email":"kkroeger@usgs.gov","middleInitial":"D.","affiliations":[{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"preferred":true,"id":754614,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70175168,"text":"70175168 - 2016 - Determination of eruption temperature of Io's lavas using lava tube skylights","interactions":[],"lastModifiedDate":"2018-11-08T16:27:43","indexId":"70175168","displayToPublicDate":"2016-11-01T13:56:34","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Determination of eruption temperature of Io's lavas using lava tube skylights","docAbstract":"Determining the eruption temperature of Io's dominant silicate lavas would constrain Io's present interior state and composition. We have examined how eruption temperature can be estimated at lava tube skylights through synthesis of thermal emission from the incandescent lava flowing within the lava tube. Lava tube skylights should be present along Io's long-lived lava flow fields, and are attractive targets because of their temporal stability and the narrow range of near-eruption temperatures revealed through them. We conclude that these skylights are suitable and desirable targets (perhaps the very best targets) for the purposes of constraining eruption temperature, with a 0.9:0.7-µm radiant flux ratio ≤6.3 being diagnostic of ultramafic lava temperatures. Because the target skylights may be small – perhaps only a few m or 10 s of m across – such observations will require a future Io-dedicated mission that will obtain high spatial resolution ( < 100 m/pixel), unsaturated observations of Io's surface at multiple wavelengths in the visible and near-infrared, ideally at night. In contrast to observations of lava fountains or roiling lava lakes, where accurate determination of surface temperature distribution requires simultaneous or near-simultaneous ( < 0.1 s) observations at different wavelengths, skylight thermal emission data are superior for the purposes of temperature derivation, as emission is stable on much longer time scales (minutes, or longer), so long as viewing geometry does not greatly change during that time.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2016.06.003","usgsCitation":"Davies, A., Keszthelyi, L.P., and McEwen, A.S., 2016, Determination of eruption temperature of Io's lavas using lava tube skylights: Icarus, v. 278, p. 266-278, https://doi.org/10.1016/j.icarus.2016.06.003.","productDescription":"13 p.","startPage":"266","endPage":"278","ipdsId":"IP-070452","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":470447,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10150/621256","text":"External Repository"},{"id":356290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"278","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc83be4b0f5d57878ec18","contributors":{"authors":[{"text":"Davies, Ashley G.","contributorId":36827,"corporation":false,"usgs":true,"family":"Davies","given":"Ashley G.","affiliations":[],"preferred":false,"id":644191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keszthelyi, Laszlo P. 0000-0003-1879-4331 laz@usgs.gov","orcid":"https://orcid.org/0000-0003-1879-4331","contributorId":227,"corporation":false,"usgs":true,"family":"Keszthelyi","given":"Laszlo","email":"laz@usgs.gov","middleInitial":"P.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":644190,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McEwen, Alfred S.","contributorId":61657,"corporation":false,"usgs":false,"family":"McEwen","given":"Alfred","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":644192,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70202187,"text":"70202187 - 2016 - Continuity of the West Napa–Franklin fault zone inferred from guided waves generated by earthquakes following the 24 August 2014 Mw 6.0 South Napa Earthquake","interactions":[],"lastModifiedDate":"2019-02-13T11:14:46","indexId":"70202187","displayToPublicDate":"2016-11-01T11:14:35","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Continuity of the West Napa–Franklin fault zone inferred from guided waves generated by earthquakes following the 24 August 2014 Mw 6.0 South Napa Earthquake","docAbstract":"We measure peak ground velocities from fault‐zone guided waves (FZGWs), generated by on‐fault earthquakes associated with the 24 August 2014 Mw 6.0 South Napa earthquake. The data were recorded on three arrays deployed across north and south of the 2014 surface rupture. The observed FZGWs indicate that the West Napa fault zone (WNFZ) and the Franklin fault (FF) are continuous in the subsurface for at least 75 km. Previously published potential‐field data indicate that the WNFZ extends northward to the Maacama fault (MF), and previous geologic mapping indicates that the FF extends southward to the Calaveras fault (CF); this suggests a total length of at least 110 km for the WNFZ–FF. Because the WNFZ–FF appears contiguous with the MF and CF, these faults apparently form a continuous Calaveras–Franklin–WNFZ–Maacama (CFWM) fault that is second only in length (∼300 km) to the San Andreas fault in the San Francisco Bay area. The long distances over which we observe FZGWs, coupled with their high amplitudes (2–10 times the S waves) suggest that strong shaking from large earthquakes on any part of the CFWM fault may cause far‐field amplified fault‐zone shaking. We interpret guided waves and seismicity cross sections to indicate multiple upper crustal splays of the WNFZ–FF, including a northward extension of the Southhampton fault, which may cause strong shaking in the Napa Valley and the Vallejo area. Based on travel times from each earthquake to each recording array, we estimate average P‐, S‐, and guided‐wave velocities within the WNFZ–FF (4.8–5.7, 2.2–3.2, and 1.1–2.8 km/s, respectively), with FZGW velocities ranging from 58% to 93% of the average S‐wave velocities.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120160154","usgsCitation":"Catchings, R.D., Goldman, M.R., Li, Y., and Chan, J.H., 2016, Continuity of the West Napa–Franklin fault zone inferred from guided waves generated by earthquakes following the 24 August 2014 Mw 6.0 South Napa Earthquake: Bulletin of the Seismological Society of America, v. 106, no. 6, p. 2721-2746, https://doi.org/10.1785/0120160154.","productDescription":"26 p.","startPage":"2721","endPage":"2746","ipdsId":"IP-068187","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":361229,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.9,\n 37.7\n ],\n [\n -122,\n 37.7\n ],\n [\n -122,\n 38.7\n ],\n [\n -122.9,\n 38.7\n ],\n [\n -122.9,\n 37.7\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"106","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Catchings, Rufus D. 0000-0002-5191-6102 catching@usgs.gov","orcid":"https://orcid.org/0000-0002-5191-6102","contributorId":1519,"corporation":false,"usgs":true,"family":"Catchings","given":"Rufus","email":"catching@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":757146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goldman, Mark R. 0000-0002-0802-829X goldman@usgs.gov","orcid":"https://orcid.org/0000-0002-0802-829X","contributorId":1521,"corporation":false,"usgs":true,"family":"Goldman","given":"Mark","email":"goldman@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":757147,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Y.-G.","contributorId":213220,"corporation":false,"usgs":false,"family":"Li","given":"Y.-G.","email":"","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":757148,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chan, Joanne H. 0000-0002-2065-2423 jchan@usgs.gov","orcid":"https://orcid.org/0000-0002-2065-2423","contributorId":178625,"corporation":false,"usgs":true,"family":"Chan","given":"Joanne","email":"jchan@usgs.gov","middleInitial":"H.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":757149,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70202096,"text":"70202096 - 2016 - A cellular automata downscaling based 1 km global land use datasets (2010–2100)","interactions":[],"lastModifiedDate":"2019-02-11T11:04:21","indexId":"70202096","displayToPublicDate":"2016-11-01T11:04:14","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5802,"text":"Science Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"A cellular automata downscaling based 1 km global land use datasets (2010–2100)","docAbstract":"Global climate and environmental change studies require detailed land-use and land-cover(LULC) information about the past, present, and future. In this paper, we discuss a methodology for downscaling coarse-resolution (i.e., half-degree) future land use scenarios to finer (i.e., 1 km) resolutions at the global scale using a grid-based spatially explicit cellular automata (CA) model. We account for spatial heterogeneity from topography, climate, soils, and socioeconomic variables. The model uses a global 30 m land cover map (2010) as the base input, a variety of biogeographic and socioeconomic variables, and an empirical analysis to downscale coarse-resolution land use information (specifically urban, crop and pasture). The output of this model offers the most current and finest-scale future LULC dynamics from 2010 to 2100 (with four representative concentration pathway (RCP) scenarios—RCP 2.6, RCP 4.5, RCP 6.0, and RCP 8.5) at a 1 km resolution within a globally consistent framework. The data are freely available for download, and will enable researchers to study the impacts of LULC change at the local scale.
Chemical analyses from 71 watersheds across an ∼450 km transect in west-central Panama provide insight into controls on weathering and rates of chemical denudation and CO2 consumption across an igneous arc terrain in the tropics. Stream and river compositions across this region of Panama are generally dilute, having a total dissolved solute value = 118 ± 91 mg/L, with bicarbonate and silica being the predominant dissolved species. Solute, stable isotope, and radiogenic isotope compositions are consistent with dissolution of igneous rocks present in Panama by meteoric precipitation, with geochemical signatures of rivers largely acquired in their upstream regions. Comparison of a headwater basin with its entire watershed observed considerably more runoff production from the high-elevation upstream portion of the catchment than in its much more spatially extensive downstream region. Rock alteration profiles document that weathering proceeds primarily by dissolution of feldspar and pyroxene, with base cations effectively leached in the following sequence: Na > Ca > Mg > K. Control on water chemistry by bedrock lithology is indicated through a linking of elevated ([Na + K]/[Ca + Mg]) ratios in waters to a high proportion of catchment area silicic bedrock and low ratios to mafic bedrock. Sr-isotope ratios are dominated by basement-derived Sr, with only very minor, if any, contribution from other sources. Cation weathering of Casil + Mgsil + Na + K spans about an order in magnitude, from 3 to 32 tons/km2/yr. Strong positive correlations of chemical denudation and CO2 consumption are observed with precipitation, mean watershed elevation, extent of land surface forest cover, and physical erosion rate.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/B31388.1","usgsCitation":"Harmon, R.S., Wörner, G., Goldsmith, S.T., Harmon, B.A., Gardner, C.B., Lyons, W.B., Ogden, F.L., Pribil, M., Long, D.T., Kern, Z., and Fórizs, I., 2016, Linking silicate weathering to riverine geochemistry—A case study from a mountainous tropical setting in west-central Panama: GSA Bulletin, v. 128, no. 11-12, p. 1780-1812, https://doi.org/10.1130/B31388.1.","productDescription":"23 p.","startPage":"1780","endPage":"1812","ipdsId":"IP-057655","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":498615,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Panama","otherGeospatial":"Chagras and Pacora watersheds","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -77.02475081518877,\n 9.72835001499034\n ],\n [\n -83.0055327816727,\n 9.72835001499034\n ],\n [\n -83.0055327816727,\n 7.266801490086593\n ],\n [\n -77.02475081518877,\n 7.266801490086593\n ],\n [\n -77.02475081518877,\n 9.72835001499034\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"128","issue":"11-12","noUsgsAuthors":false,"publicationDate":"2016-06-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Harmon, Russell S.","contributorId":365108,"corporation":false,"usgs":false,"family":"Harmon","given":"Russell","middleInitial":"S.","affiliations":[{"id":87040,"text":"Department of Marine, Earth Atmospheric Sciences, North Carolina State University and USACE","active":true,"usgs":false}],"preferred":false,"id":953708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wörner, Gerhard","contributorId":365109,"corporation":false,"usgs":false,"family":"Wörner","given":"Gerhard","affiliations":[{"id":87041,"text":"Division of Geochemistry, University of Göttingen","active":true,"usgs":false}],"preferred":false,"id":953709,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldsmith, Steven T.","contributorId":365110,"corporation":false,"usgs":false,"family":"Goldsmith","given":"Steven","middleInitial":"T.","affiliations":[{"id":87042,"text":"Department of Geography and the Environment, Villanova University","active":true,"usgs":false}],"preferred":false,"id":953710,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harmon, Brendan A.","contributorId":365111,"corporation":false,"usgs":false,"family":"Harmon","given":"Brendan","middleInitial":"A.","affiliations":[{"id":87043,"text":"Department of Marine, Earth Atmospheric Sciences, North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":953711,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gardner, Christopher B.","contributorId":365112,"corporation":false,"usgs":false,"family":"Gardner","given":"Christopher","middleInitial":"B.","affiliations":[{"id":87044,"text":"School of Earth Sciences, The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":953712,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lyons, W. Berry","contributorId":365113,"corporation":false,"usgs":false,"family":"Lyons","given":"W.","middleInitial":"Berry","affiliations":[{"id":87044,"text":"School of Earth Sciences, The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":953713,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ogden, Fred L.","contributorId":365114,"corporation":false,"usgs":false,"family":"Ogden","given":"Fred","middleInitial":"L.","affiliations":[{"id":87045,"text":"Department of Civil & Architectural Engineering, University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":953714,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pribil, Michael J. 0000-0003-4859-8673 mpribil@usgs.gov","orcid":"https://orcid.org/0000-0003-4859-8673","contributorId":141158,"corporation":false,"usgs":true,"family":"Pribil","given":"Michael","email":"mpribil@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":953715,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Long, David T.","contributorId":365115,"corporation":false,"usgs":false,"family":"Long","given":"David","middleInitial":"T.","affiliations":[{"id":87046,"text":"Department of Geological Sciences, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":953716,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kern, Zoltán","contributorId":365116,"corporation":false,"usgs":false,"family":"Kern","given":"Zoltán","affiliations":[{"id":33755,"text":"Hungarian Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":953717,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Fórizs, István","contributorId":365117,"corporation":false,"usgs":false,"family":"Fórizs","given":"István","affiliations":[{"id":33755,"text":"Hungarian Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":953718,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70193641,"text":"70193641 - 2016 - Multiple browsers structure tree recruitment in logged temperate forests","interactions":[],"lastModifiedDate":"2017-11-13T14:51:14","indexId":"70193641","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Multiple browsers structure tree recruitment in logged temperate forests","docAbstract":"Historical extirpations have resulted in depauperate large herbivore assemblages in many northern forests. In eastern North America, most forests are inhabited by a single wild ungulate species, white-tailed deer (Odocoileus virginianus), and relationships between deer densities and impacts on forest regeneration are correspondingly well documented. Recent recolonizations by moose (Alces americanus) in northeastern regions complicate established deer density thresholds and predictions of browsing impacts on forest dynamics because size and foraging differences between the two animals suggest a lack of functional redundancy. We asked to what extent low densities of deer + moose would structure forest communities differently from that of low densities of deer in recently logged patch cuts of Massachusetts, USA. In each site, a randomized block with three treatment levels of large herbivores–no-ungulates (full exclosure), deer (partial exclosure), and deer + moose (control) was established. After 6–7 years, deer + moose reduced stem densities and basal area by 2-3-fold, Prunus pensylvanica and Quercus spp. recruitment by 3–6 fold, and species richness by 1.7 species (19%). In contrast, in the partial exclosures, deer had non-significant effects on stem density, basal area, and species composition, but significantly reduced species richness by 2.5 species on average (28%). Deer browsing in the partial exclosure was more selective than deer + moose browsing together, perhaps contributing to the decline in species richness in the former treatment and the lack of additional decline in the latter. Moose used the control plots at roughly the same frequency as deer (as determined by remote camera traps), suggesting that the much larger moose was the dominant browser species in terms of animal biomass in these cuts. A lack of functional redundancy with respect to foraging behavior between sympatric large herbivores may explain combined browsing effects that were both large and complex.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0166783","usgsCitation":"Faison, E.K., DeStefano, S., Foster, D., Rapp, J.M., and Compton, J., 2016, Multiple browsers structure tree recruitment in logged temperate forests: PLoS ONE, v. 11, no. 11, p. 1-14, https://doi.org/10.1371/journal.pone.0166783.","productDescription":"e0166783; 14 p.","startPage":"1","endPage":"14","ipdsId":"IP-076434","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":482069,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0166783","text":"Publisher Index Page"},{"id":348722,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.44247436523438,\n 42.249868245939325\n ],\n [\n -71.9000244140625,\n 42.249868245939325\n ],\n [\n -71.9000244140625,\n 42.63496903887609\n ],\n [\n -72.44247436523438,\n 42.63496903887609\n ],\n [\n -72.44247436523438,\n 42.249868245939325\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"11","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-28","publicationStatus":"PW","scienceBaseUri":"5a60fc9ce4b06e28e9c2404a","contributors":{"authors":[{"text":"Faison, Edward K.","contributorId":191559,"corporation":false,"usgs":false,"family":"Faison","given":"Edward","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":721857,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeStefano, Stephen 0000-0003-2472-8373 destef@usgs.gov","orcid":"https://orcid.org/0000-0003-2472-8373","contributorId":166706,"corporation":false,"usgs":true,"family":"DeStefano","given":"Stephen","email":"destef@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":719728,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foster, David R.","contributorId":149881,"corporation":false,"usgs":false,"family":"Foster","given":"David R.","affiliations":[{"id":16810,"text":"Harvard Univ.","active":true,"usgs":false}],"preferred":false,"id":721858,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rapp, Joshua M.","contributorId":200307,"corporation":false,"usgs":false,"family":"Rapp","given":"Joshua","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721859,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Compton, Justin A.","contributorId":200308,"corporation":false,"usgs":false,"family":"Compton","given":"Justin A.","affiliations":[],"preferred":false,"id":721860,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70170679,"text":"70170679 - 2016 - Landsat 8: The plans, the reality, and the legacy","interactions":[],"lastModifiedDate":"2017-04-07T13:53:20","indexId":"70170679","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Landsat 8: The plans, the reality, and the legacy","docAbstract":"Landsat 8, originally known as the Landsat Data Continuity Mission (LDCM), is a National Aeronautics and Space Administration (NASA)-U.S. Geological Survey (USGS) partnership that continues the legacy of continuous moderate resolution observations started in 1972. The conception of LDCM to the reality of Landsat 8 followed an arduous path extending over nearly 13 years, but the successful launch on February 11, 2013 ensures the continuity of the unparalleled Landsat record. The USGS took over mission operations on May 30, 2013 and renamed LCDM to Landsat 8. Access to Landsat 8 data was opened to users worldwide. Three years following launch we evaluate the science and applications impact of Landsat 8. With a mission objective to enable the detection and characterization of global land changes at a scale where differentiation between natural and human-induced causes of change is possible, LDCM promised incremental technical improvements in capabilities needed for Landsat scientific and applications investigations. Results show that with Landsat 8, we are acquiring more data than ever before, the radiometric and geometric quality of data are generally technically superior to data acquired by past Landsat missions, and the new measurements, e.g., the coastal aerosol and cirrus bands, are opening new opportunities. Collectively, these improvements are sparking the growth of science and applications opportunities. Equally important, with Landsat 7 still operational, we have returned to global imaging on an 8-day cycle, a capability that ended when Landsat 5 ceased operational Earth imaging in November 2011. As a result, the Landsat program is on secure footings and planning is underway to extend the record for another 20 or more years.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2016.07.033","usgsCitation":"Loveland, T.R., and Irons, J.R., 2016, Landsat 8: The plans, the reality, and the legacy: Remote Sensing of Environment, v. 185, p. 1-6, https://doi.org/10.1016/j.rse.2016.07.033.","productDescription":"6 p.","startPage":"1","endPage":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-074490","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":470463,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2016.07.033","text":"Publisher Index Page"},{"id":331816,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"185","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"584bd0dce4b077fc20250e04","contributors":{"authors":[{"text":"Loveland, Thomas R. 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":140256,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas","email":"loveland@usgs.gov","middleInitial":"R.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":628069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irons, James R.","contributorId":59284,"corporation":false,"usgs":false,"family":"Irons","given":"James","email":"","middleInitial":"R.","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":628070,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70182778,"text":"70182778 - 2016 - Spatial prediction of wheat Septoria leaf blotch (Septoria tritici) disease severity in central Ethiopia","interactions":[],"lastModifiedDate":"2017-05-31T16:05:26","indexId":"70182778","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1457,"text":"Ecological Informatics","active":true,"publicationSubtype":{"id":10}},"title":"Spatial prediction of wheat Septoria leaf blotch (Septoria tritici) disease severity in central Ethiopia","docAbstract":"A number of studies have reported the presence of wheat septoria leaf blotch (Septoria tritici; SLB) disease in Ethiopia. However, the environmental factors associated with SLB disease, and areas under risk of SLB disease, have not been studied. Here, we tested the hypothesis that environmental variables can adequately explain observed SLB disease severity levels in West Shewa, Central Ethiopia. Specifically, we identified 50 environmental variables and assessed their relationships with SLB disease severity. Geographically referenced disease severity data were obtained from the field, and linear regression and Boosted Regression Trees (BRT) modeling approaches were used for developing spatial models. Moderate-resolution imaging spectroradiometer (MODIS) derived vegetation indices and land surface temperature (LST) variables highly influenced SLB model predictions. Soil and topographic variables did not sufficiently explain observed SLB disease severity variation in this study. Our results show that wheat growing areas in Central Ethiopia, including highly productive districts, are at risk of SLB disease. The study demonstrates the integration of field data with modeling approaches such as BRT for predicting the spatial patterns of severity of a pathogenic wheat disease in Central Ethiopia. Our results can aid Ethiopia's wheat disease monitoring efforts, while our methods can be replicated for testing related hypotheses elsewhere.
","language":"English","publisher":"Elsevier ","doi":"10.1016/j.ecoinf.2016.09.003","usgsCitation":"Wakie, T., Kumar, S., Senay, G., Takele, A., and Lencho, A., 2016, Spatial prediction of wheat Septoria leaf blotch (Septoria tritici) disease severity in central Ethiopia: Ecological Informatics, v. 36, p. 15-30, https://doi.org/10.1016/j.ecoinf.2016.09.003.","productDescription":"16 p.","startPage":"15","endPage":"30","ipdsId":"IP-079364","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":462043,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoinf.2016.09.003","text":"Publisher Index Page"},{"id":336745,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b7eba5e4b01ccd5500baf5","chorus":{"doi":"10.1016/j.ecoinf.2016.09.003","url":"http://dx.doi.org/10.1016/j.ecoinf.2016.09.003","publisher":"Elsevier BV","authors":"Wakie Tewodros T., Kumar Sunil, Senay Gabriel B., Takele Abera, Lencho Alemu","journalName":"Ecological Informatics","publicationDate":"11/2016"},"contributors":{"authors":[{"text":"Wakie, Tewodros","contributorId":138730,"corporation":false,"usgs":false,"family":"Wakie","given":"Tewodros","email":"","affiliations":[{"id":6737,"text":"Colorado State University, Department of Ecosystem Science and Sustainability, and Natural Resource Ecology Laboratory","active":true,"usgs":false}],"preferred":false,"id":680410,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kumar, Sunil","contributorId":84992,"corporation":false,"usgs":true,"family":"Kumar","given":"Sunil","affiliations":[],"preferred":false,"id":680411,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":166812,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":673717,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takele, Abera","contributorId":187439,"corporation":false,"usgs":false,"family":"Takele","given":"Abera","email":"","affiliations":[],"preferred":false,"id":680412,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lencho, Alemu","contributorId":187440,"corporation":false,"usgs":false,"family":"Lencho","given":"Alemu","email":"","affiliations":[],"preferred":false,"id":680413,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70182084,"text":"70182084 - 2016 - New findings of twisted-wing parasites (Strepsiptera) in Alaska","interactions":[],"lastModifiedDate":"2017-03-29T11:48:55","indexId":"70182084","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5299,"text":"Newsletter of the Alaska Entomological Society","active":true,"publicationSubtype":{"id":10}},"title":"New findings of twisted-wing parasites (Strepsiptera) in Alaska","docAbstract":"Strepsipterans are a group of insects with a gruesome life history and an enigmatic evolutionary past. Called ‘twisted-wing parasites’, they are minute parasitoids with a very distinct morphology (Figure 1). Alternatively thought to be related to ichneumon wasps, Diptera (flies), Coleoptera (beetles), and even Neuroptera (net-winged insects) (Pohl and Beutel, 2013); the latest genetic and morphological data support the sister order relationship of Strepsiptera and Coleoptera (Niehuis et al., 2012). Strepsipterans are highly modified, males having two hind wings and halteres instead of front wings or elytra. Unlike most parasitoids, they develop inside active, living insects who are sexually sterilized but not killed until or after emergence (Kathirithamby et al., 2015).
","language":"English","publisher":"Alaska Entomological Society","usgsCitation":"Mcdermott, M., 2016, New findings of twisted-wing parasites (Strepsiptera) in Alaska: Newsletter of the Alaska Entomological Society, v. 9, no. 1, p. 6-8.","productDescription":"3 p.","startPage":"6","endPage":"8","ipdsId":"IP-074440","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":335675,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":335665,"type":{"id":15,"text":"Index Page"},"url":"https://www.akentsoc.org/newsletter-v9-n1","linkFileType":{"id":5,"text":"html"}}],"volume":"9","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58a6c82de4b025c46428626c","contributors":{"authors":[{"text":"Mcdermott, Molly 0000-0002-0000-0831 mmcdermott@usgs.gov","orcid":"https://orcid.org/0000-0002-0000-0831","contributorId":181770,"corporation":false,"usgs":true,"family":"Mcdermott","given":"Molly","email":"mmcdermott@usgs.gov","affiliations":[],"preferred":true,"id":669493,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70184429,"text":"70184429 - 2016 - A brackish diatom, Pseudofrustulia lancea gen. et sp. nov. (Bacillariophyceae), from the Pacific coast of Oregon (USA)","interactions":[],"lastModifiedDate":"2017-03-09T11:59:36","indexId":"70184429","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3081,"text":"Phytotaxa","active":true,"publicationSubtype":{"id":10}},"title":"A brackish diatom, Pseudofrustulia lancea gen. et sp. nov. (Bacillariophyceae), from the Pacific coast of Oregon (USA)","docAbstract":"Light and electron microscope observations show that a brackish diatom taxon should be classified as a new species of a new genus; Pseudofrustulia lancea gen. et sp. nov. We propose separating Pseudofrustulia from other similar genera such as Frickea, Frustulia, Amphipleura, Muelleria, and Envekadea on the basis of its thickened axial ribs, raphe endings, axial costae, morphology of helictoglossa, size of striae on valve surfaces, and areolae on the inner side between its axial ribs and raphe. Girdle bands may be another diagnostic feature for the separation of Pseudofrustulia from related taxa, but more detailed observations using SEM images are required to determine if bands are diagnostic.
","language":"English","publisher":"Magnolia Press","doi":"10.11646/phytotaxa.267.2.2","usgsCitation":"Sawai, Y., Nagumo, T., and Nelson, A.R., 2016, A brackish diatom, Pseudofrustulia lancea gen. et sp. nov. (Bacillariophyceae), from the Pacific coast of Oregon (USA): Phytotaxa, v. 267, no. 2, p. 103-112, https://doi.org/10.11646/phytotaxa.267.2.2.","productDescription":"11 p.","startPage":"103","endPage":"112","ipdsId":"IP-076563","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":470469,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.11646/phytotaxa.267.2.2","text":"Publisher Index Page"},{"id":337176,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","volume":"267","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-04","publicationStatus":"PW","scienceBaseUri":"58c277d9e4b014cc3a3e76b5","contributors":{"authors":[{"text":"Sawai, Yuki","contributorId":127509,"corporation":false,"usgs":false,"family":"Sawai","given":"Yuki","email":"","affiliations":[{"id":6981,"text":"National Institute of Advanced Industrial Science and Technology, AIST, Japan","active":true,"usgs":false}],"preferred":false,"id":681456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nagumo, Tamotsu","contributorId":187713,"corporation":false,"usgs":false,"family":"Nagumo","given":"Tamotsu","email":"","affiliations":[],"preferred":false,"id":681457,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, Alan R. 0000-0001-7117-7098 anelson@usgs.gov","orcid":"https://orcid.org/0000-0001-7117-7098","contributorId":812,"corporation":false,"usgs":true,"family":"Nelson","given":"Alan","email":"anelson@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":681458,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70178666,"text":"70178666 - 2016 - Filling the interspace—restoring arid land mosses: source populations, organic matter, and overwintering govern success","interactions":[],"lastModifiedDate":"2017-11-22T17:19:16","indexId":"70178666","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Filling the interspace—restoring arid land mosses: source populations, organic matter, and overwintering govern success","docAbstract":"Biological soil crusts contribute to ecosystem functions and occupy space that could be available to invasive annual grasses. Given disturbances in the semiarid shrub steppe communities, we embarked on a set of studies to investigate restoration potential of mosses in sagebrush steppe ecosystems. We examined establishment and growth of two moss species common to the Great Basin, USA: Bryum argenteum and Syntrichia ruralis from two environmental settings (warm dry vs. cool moist). Moss fragments were inoculated into a third warm dry setting, on bare soil in spring and fall, both with and without a jute net and with and without spring irrigation. Moss cover was monitored in spring seasons of three consecutive years. Both moss species increased in cover over the winter. When Bryum received spring irrigation that was out of sync with natural precipitation patterns, moss cover increased and then crashed, taking two seasons to recover. Syntrichia did not respond to the irrigation treatment. The addition of jute net increased moss cover under all conditions, except Syntrichia following fall inoculation, which required a second winter to increase in cover. The warm dry population of Bryum combined with jute achieved on average 60% cover compared to the cool moist population that achieved only 28% cover by the end of the study. Differences were less pronounced for Syntrichia where moss from the warm dry population with jute achieved on average 51% cover compared to the cool moist population that achieved 43% cover by the end of the study. Restoration of arid land mosses may quickly protect soils from erosion while occupying sites before invasive plants. We show that higher moss cover will be achieved quickly with the addition of organic matter and when moss fragments originate from sites with a climate that is similar to that of the restoration site.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.2448","usgsCitation":"Condon, L., and Pyke, D.A., 2016, Filling the interspace—restoring arid land mosses: source populations, organic matter, and overwintering govern success: Ecology and Evolution, v. 6, no. 21, p. 7623-7632, https://doi.org/10.1002/ece3.2448.","productDescription":"10 p.","startPage":"7623","endPage":"7632","ipdsId":"IP-073450","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":470471,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.2448","text":"Publisher Index Page"},{"id":331432,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"21","noUsgsAuthors":false,"publicationDate":"2016-10-05","publicationStatus":"PW","scienceBaseUri":"584144dde4b04fc80e50738e","chorus":{"doi":"10.1002/ece3.2448","url":"http://dx.doi.org/10.1002/ece3.2448","publisher":"Wiley-Blackwell","authors":"Condon Lea A., Pyke David A.","journalName":"Ecology and Evolution","publicationDate":"10/5/2016"},"contributors":{"authors":[{"text":"Condon, Lea","contributorId":168539,"corporation":false,"usgs":false,"family":"Condon","given":"Lea","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":654761,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pyke, David A. 0000-0002-4578-8335 david_a_pyke@usgs.gov","orcid":"https://orcid.org/0000-0002-4578-8335","contributorId":3118,"corporation":false,"usgs":true,"family":"Pyke","given":"David","email":"david_a_pyke@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":654762,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70178032,"text":"70178032 - 2016 - King Rail (Rallus elegans) Nesting and Brood Rearing Ecology at Red Slough WMA, SE Oklahoma","interactions":[],"lastModifiedDate":"2016-11-01T13:47:25","indexId":"70178032","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"King Rail (Rallus elegans) Nesting and Brood Rearing Ecology at Red Slough WMA, SE Oklahoma","language":"English","publisher":"The Waterbird Society","publisherLocation":"Waco, TX","doi":"10.1675/063.039.0303","usgsCitation":"Krementz, D.G., Willard, K.L., Carroll, M., and Dugger, K.M., 2016, King Rail (Rallus elegans) Nesting and Brood Rearing Ecology at Red Slough WMA, SE Oklahoma: Waterbirds, v. 39, no. 3, p. 241-249, https://doi.org/10.1675/063.039.0303.","productDescription":"9 p.","startPage":"241","endPage":"249","numberOfPages":"9","ipdsId":"IP-069899","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":470464,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1675/063.039.0303","text":"Publisher Index Page"},{"id":330626,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Studies conducted primarily in southeastern 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M.","contributorId":16137,"corporation":false,"usgs":true,"family":"Carroll","given":"M.","email":"","affiliations":[],"preferred":false,"id":652655,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dugger, Katie M. 0000-0002-4148-246X","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":36037,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"","middleInitial":"M.","affiliations":[{"id":517,"text":"Oregon Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":652656,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192862,"text":"70192862 - 2016 - Influence of anglers' specializations on catch, harvest, and bycatch of targeted taxa","interactions":[],"lastModifiedDate":"2017-11-08T12:18:59","indexId":"70192862","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Influence of anglers' specializations on catch, harvest, and bycatch of targeted taxa","docAbstract":"Fishery managers often use catch per unit effort (CPUE) of a given taxon derived from a group of anglers, those that sought said taxon, to evaluate fishery objectives because managers assume CPUE for this group of anglers is most sensitive to changes in fish taxon density. Further, likelihood of harvest may differ for sought and non-sought taxa if taxon sought is a defining characteristic of anglers’ attitude toward harvest. We predicted that taxon-specific catch across parties and reservoirs would be influenced by targeted taxon after controlling for number of anglers in a party and time spent fishing (combine to quantify fishing effort of party); we also predicted similar trends for taxon-specific harvest. We used creel-survey data collected from anglers that varied in taxon targeted, from generalists (targeting “anything” [no primary target taxa, but rather targeting all fishes]) to target specialists (e.g., anglers targeting largemouth bass Micropterus salmoides) in 19 Nebraska reservoirs during 2009–2011 to test our predictions. Taxon-specific catch and harvest were, in general, positively related to fishing effort. More importantly, we observed differences of catch and harvest among anglers grouped by taxon targeted for each of the eight taxa assessed. Anglers targeting a specific taxon had the greatest catch for that taxon and anglers targeting anything typically had the second highest catch for that taxon. In addition, anglers tended to catch more of closely related taxa and of taxa commonly targeted with similar fishing techniques. We encourage managers to consider taxon-specific objectives of target and non-target catch and harvest.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2016.05.025","usgsCitation":"Pope, K.L., Chizinski, C.J., Wiley, C.L., and Martin, D., 2016, Influence of anglers' specializations on catch, harvest, and bycatch of targeted taxa: Fisheries Research, v. 183, p. 128-137, https://doi.org/10.1016/j.fishres.2016.05.025.","productDescription":"10 p.","startPage":"128","endPage":"137","ipdsId":"IP-054691","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"183","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425bee4b0dc0b45b453df","contributors":{"authors":[{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chizinski, Christopher J.","contributorId":7178,"corporation":false,"usgs":false,"family":"Chizinski","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":721117,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiley, Christopher L.","contributorId":200145,"corporation":false,"usgs":false,"family":"Wiley","given":"Christopher","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":721118,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Dustin R.","contributorId":43482,"corporation":false,"usgs":true,"family":"Martin","given":"Dustin R.","affiliations":[],"preferred":false,"id":721119,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70178036,"text":"70178036 - 2016 - Organizing environmental flow frameworks to meet hydropower mitigation needs","interactions":[],"lastModifiedDate":"2016-11-01T13:30:46","indexId":"70178036","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Organizing environmental flow frameworks to meet hydropower mitigation needs","docAbstract":"The global recognition of the importance of natural flow regimes to sustain the ecological integrity of river systems has led to increased societal pressure on the hydropower industry to change plant operations to improve downstream aquatic ecosystems. However, a complete reinstatement of natural flow regimes is often unrealistic when balancing water needs for ecosystems, energy production, and other human uses. Thus, stakeholders must identify a prioritized subset of flow prescriptions that meet ecological objectives in light of realistic constraints. Yet, isolating aspects of flow regimes to restore downstream of hydropower facilities is among the greatest challenges of environmental flow science due, in part, to the sheer volume of available environmental flow tools in conjunction with complex negotiation-based regulatory procedures. Herein, we propose an organizational framework that structures information and existing flow paradigms into a staged process that assists stakeholders in implementing environmental flows for hydropower facilities. The framework identifies areas where regulations fall short of the needed scientific process, and provide suggestions for stakeholders to ameliorate those situations through advanced preparation. We highlight the strengths of existing flow paradigms in their application to hydropower settings and suggest when and where tools are most applicable. Our suggested framework increases the effectiveness and efficiency of the e-flow implementation process by rapidly establishing a knowledge base and decreasing uncertainty so more time can be devoted to filling knowledge gaps. Lastly, the framework provides the structure for a coordinated research agenda to further the science of environmental flows related to hydropower environments.
","language":"English","publisher":"Springer","doi":"10.1007/s00267-016-0726-y","usgsCitation":"McManamay, R.A., Brewer, S.K., Jager, H., and Troia, M.J., 2016, Organizing environmental flow frameworks to meet hydropower mitigation needs: Environmental Management, v. 58, no. 3, p. 365-385, https://doi.org/10.1007/s00267-016-0726-y.","productDescription":"21 p.","startPage":"365","endPage":"385","ipdsId":"IP-069487","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":470465,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1260072","text":"External Repository"},{"id":330622,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-25","publicationStatus":"PW","scienceBaseUri":"5819a9c1e4b0bb36a4c91009","contributors":{"authors":[{"text":"McManamay, Ryan A.","contributorId":176519,"corporation":false,"usgs":false,"family":"McManamay","given":"Ryan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":652647,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":652580,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jager, Henriette","contributorId":167339,"corporation":false,"usgs":false,"family":"Jager","given":"Henriette","affiliations":[{"id":24694,"text":"Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN","active":true,"usgs":false}],"preferred":false,"id":652648,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Troia, Matthew J.","contributorId":176520,"corporation":false,"usgs":false,"family":"Troia","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":652649,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70178649,"text":"70178649 - 2016 - Temperature and hydrology affect methane emissions from Prairie Pothole Wetlands","interactions":[],"lastModifiedDate":"2017-04-27T10:07:14","indexId":"70178649","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Temperature and hydrology affect methane emissions from Prairie Pothole Wetlands","docAbstract":"The Prairie Pothole Region (PPR) in central North America consists of millions of depressional wetlands that each have considerable potential to emit methane (CH4). Changes in temperature and hydrology in the PPR from climate change may affect methane fluxes from these wetlands. To assess the potential effects of changes in climate on methane emissions, we examined the relationships between flux rates and temperature or water depth using six years of bi-weekly flux measurements during the snow-free period from six temporarily ponded and six permanently ponded wetlands in North Dakota, USA. Methane flux rates were among the highest reported for freshwater wetlands, and had considerable spatial and temporal variation. Methane flux rates increased with increasing temperature and water depth, and were especially high when conditions were warmer and wetter than average (163 ± 28 mg CH4 m−2 h−1) compared to warmer and drier (37 ± 7 mg CH4 m−2 h−1). Methane emission rates from permanent wetlands were less sensitive to changes in temperature and water depth compared to temporary wetlands, likely due to higher sulfate concentrations in permanent wetlands. While the predicted increase in temperature with climate change will likely increase methane emission rates from PPR wetlands, drier conditions could moderate these increases.
","language":"English","publisher":"Springer","doi":"10.1007/s13157-016-0826-8","usgsCitation":"Bansal, S., Tangen, B., and Finocchiaro, R., 2016, Temperature and hydrology affect methane emissions from Prairie Pothole Wetlands: Wetlands, v. 36, no. s2, p. 371-381, https://doi.org/10.1007/s13157-016-0826-8.","productDescription":"11 p.","startPage":"371","endPage":"381","ipdsId":"IP-073125","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":331417,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"s2","noUsgsAuthors":false,"publicationDate":"2016-09-29","publicationStatus":"PW","scienceBaseUri":"584144dee4b04fc80e507392","contributors":{"authors":[{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":654711,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tangen, Brian 0000-0001-5157-9882 btangen@usgs.gov","orcid":"https://orcid.org/0000-0001-5157-9882","contributorId":167277,"corporation":false,"usgs":true,"family":"Tangen","given":"Brian","email":"btangen@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":654712,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finocchiaro, Raymond 0000-0002-5514-8729 rfinocchiaro@usgs.gov","orcid":"https://orcid.org/0000-0002-5514-8729","contributorId":167278,"corporation":false,"usgs":true,"family":"Finocchiaro","given":"Raymond","email":"rfinocchiaro@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":654713,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70178336,"text":"70178336 - 2016 - Phenology of the adult angel lichen moth (Cisthene angelus) in Grand Canyon, USA","interactions":[],"lastModifiedDate":"2016-11-14T12:41:26","indexId":"70178336","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3451,"text":"Southwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Phenology of the adult angel lichen moth (Cisthene angelus) in Grand Canyon, USA","docAbstract":"We investigated the phenology of adult angel lichen moths (Cisthene angelus) along a 364-km long segment of the Colorado River in Grand Canyon, Arizona, USA, using a unique data set of 2,437 light-trap samples collected by citizen scientists. We found that adults of C. angelus were bivoltine from 2012 to 2014. We quantified plasticity in wing lengths and sex ratios among the two generations and across a 545-m elevation gradient. We found that abundance, but not wing length, increased at lower elevations and that the two generations differed in size and sex distributions. Our results shed light on the life history and morphology of a common, but poorly known, species of moth endemic to the southwestern United States and Mexico.
","language":"English","publisher":"Southwestern Association of Naturalists","doi":"10.1894/0038-4909-61.3.233","usgsCitation":"Metcalfe, A.N., Kennedy, T., and Muehlbauer, J.D., 2016, Phenology of the adult angel lichen moth (Cisthene angelus) in Grand Canyon, USA: Southwestern Naturalist, v. 61, no. 3, p. 233-240, https://doi.org/10.1894/0038-4909-61.3.233.","productDescription":"8 p.","startPage":"233","endPage":"240","ipdsId":"IP-075941","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":438516,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7154F5S","text":"USGS data release","linkHelpText":"Angel Lichen Moth Abundance and Morphology Data, Grand Canyon, AZ, 2012"},{"id":330975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.14245605468749,\n 35.60818490437746\n ],\n [\n -114.14245605468749,\n 37.23470197166817\n ],\n [\n -110.972900390625,\n 37.23470197166817\n ],\n [\n -110.972900390625,\n 35.60818490437746\n ],\n [\n -114.14245605468749,\n 35.60818490437746\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"61","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"582adb45e4b0c253bdfff0b3","contributors":{"authors":[{"text":"Metcalfe, Anya N. 0000-0002-6286-4889 ametcalfe@usgs.gov","orcid":"https://orcid.org/0000-0002-6286-4889","contributorId":5271,"corporation":false,"usgs":true,"family":"Metcalfe","given":"Anya","email":"ametcalfe@usgs.gov","middleInitial":"N.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":653631,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennedy, Theodore A. tkennedy@usgs.gov","contributorId":3320,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore A.","email":"tkennedy@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":653632,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muehlbauer, Jeffrey D. 0000-0003-1808-580X jmuehlbauer@usgs.gov","orcid":"https://orcid.org/0000-0003-1808-580X","contributorId":5045,"corporation":false,"usgs":true,"family":"Muehlbauer","given":"Jeffrey","email":"jmuehlbauer@usgs.gov","middleInitial":"D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":653633,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70178027,"text":"70178027 - 2016 - Analyses of infrequent (quasi-decadal) large groundwater recharge events in the northern Great Basin: Their importance for groundwater availability, use, and management","interactions":[],"lastModifiedDate":"2017-01-11T16:32:00","indexId":"70178027","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Analyses of infrequent (quasi-decadal) large groundwater recharge events in the northern Great Basin: Their importance for groundwater availability, use, and management","docAbstract":"There has been a considerable amount of research linking climatic variability to hydrologic responses in the western United States. Although much effort has been spent to assess and predict changes in surface water resources, little has been done to understand how climatic events and changes affect groundwater resources. This study focuses on characterizing and quantifying the effects of large, multiyear, quasi-decadal groundwater recharge events in the northern Utah portion of the Great Basin for the period 1960–2013. Annual groundwater level data were analyzed with climatic data to characterize climatic conditions and frequency of these large recharge events. Using observed water-level changes and multivariate analysis, five large groundwater recharge events were identified with a frequency of about 11–13 years. These events were generally characterized as having above-average annual precipitation and snow water equivalent and below-average seasonal temperatures, especially during the spring (April through June). Existing groundwater flow models for several basins within the study area were used to quantify changes in groundwater storage from these events. Simulated groundwater storage increases per basin from a single recharge event ranged from about 115 to 205 Mm3. Extrapolating these amounts over the entire northern Great Basin indicates that a single large quasi-decadal recharge event could result in billions of cubic meters of groundwater storage. Understanding the role of these large quasi-decadal recharge events in replenishing aquifers and sustaining water supplies is crucial for long-term groundwater management.
","language":"English","publisher":"AGU Publications","doi":"10.1002/2016WR019060","usgsCitation":"Masbruch, M.D., Rumsey, C., Gangopadhyay, S., Susong, D.D., and Pruitt, T., 2016, Analyses of infrequent (quasi-decadal) large groundwater recharge events in the northern Great Basin: Their importance for groundwater availability, use, and management: Water Resources Research, v. 52, no. 10, p. 7819-7836, https://doi.org/10.1002/2016WR019060.","productDescription":"18 p.","startPage":"7819","endPage":"7836","ipdsId":"IP-069809","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":470453,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016wr019060","text":"Publisher Index Page"},{"id":330630,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.08203125,\n 38.47939467327645\n ],\n [\n -114.08203125,\n 42.00032514831621\n ],\n [\n -109.0283203125,\n 42.00032514831621\n ],\n [\n -109.0283203125,\n 38.47939467327645\n ],\n [\n -114.08203125,\n 38.47939467327645\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"52","issue":"10","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-11","publicationStatus":"PW","scienceBaseUri":"5819a9c2e4b0bb36a4c9100d","contributors":{"authors":[{"text":"Masbruch, Melissa D. 0000-0001-6568-160X mmasbruch@usgs.gov","orcid":"https://orcid.org/0000-0001-6568-160X","contributorId":1902,"corporation":false,"usgs":true,"family":"Masbruch","given":"Melissa","email":"mmasbruch@usgs.gov","middleInitial":"D.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":652542,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rumsey, Christine 0000-0001-7536-750X crumsey@usgs.gov","orcid":"https://orcid.org/0000-0001-7536-750X","contributorId":146240,"corporation":false,"usgs":true,"family":"Rumsey","given":"Christine","email":"crumsey@usgs.gov","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":652543,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gangopadhyay, Subhrendu 0000-0003-3864-8251","orcid":"https://orcid.org/0000-0003-3864-8251","contributorId":173439,"corporation":false,"usgs":false,"family":"Gangopadhyay","given":"Subhrendu","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":652544,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Susong, David D. ddsusong@usgs.gov","contributorId":1040,"corporation":false,"usgs":true,"family":"Susong","given":"David","email":"ddsusong@usgs.gov","middleInitial":"D.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":652545,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pruitt, Tom 0000-0002-3543-1324","orcid":"https://orcid.org/0000-0002-3543-1324","contributorId":173440,"corporation":false,"usgs":false,"family":"Pruitt","given":"Tom","email":"","affiliations":[{"id":27228,"text":"Reclamation","active":true,"usgs":false}],"preferred":false,"id":652546,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70178647,"text":"70178647 - 2016 - Dense surface seismic data confirm non-double-couple source mechanisms induced by hydraulic fracturing","interactions":[],"lastModifiedDate":"2021-06-09T13:10:07.979625","indexId":"70178647","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1808,"text":"Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Dense surface seismic data confirm non-double-couple source mechanisms induced by hydraulic fracturing","docAbstract":"We have determined source mechanisms for nine high-quality microseismic events induced during hydraulic fracturing of the Montney Shale in Canada. Seismic data were recorded using a dense regularly spaced grid of sensors at the surface. The design and geometry of the survey are such that the recorded P-wave amplitudes essentially map the upper focal hemisphere, allowing the source mechanism to be interpreted directly from the data. Given the inherent difficulties of computing reliable moment tensors (MTs) from high-frequency microseismic data, the surface amplitude and polarity maps provide important additional confirmation of the source mechanisms. This is especially critical when interpreting non-shear source processes, which are notoriously susceptible to artifacts due to incomplete or inaccurate source modeling. We have found that most of the nine events contain significant non-double-couple (DC) components, as evident in the surface amplitude data and the resulting MT models. Furthermore, we found that source models that are constrained to be purely shear do not explain the data for most events. Thus, even though non-DC components of MTs can often be attributed to modeling artifacts, we argue that they are required by the data in some cases, and can be reliably computed and confidently interpreted under favorable conditions.
","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/geo2016-0192.1","usgsCitation":"Pesicek, J., Cieslik, K., Lambert, M., Carrillo, P., and Birkelo, B., 2016, Dense surface seismic data confirm non-double-couple source mechanisms induced by hydraulic fracturing: Geophysics, v. 81, no. 6, p. KS207-KS217, https://doi.org/10.1190/geo2016-0192.1.","productDescription":"11 p.","startPage":"KS207","endPage":"KS217","ipdsId":"IP-075074","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":331415,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"584144dee4b04fc80e507395","contributors":{"authors":[{"text":"Pesicek, Jeremy 0000-0001-7964-5845 jpesicek@usgs.gov","orcid":"https://orcid.org/0000-0001-7964-5845","contributorId":173180,"corporation":false,"usgs":true,"family":"Pesicek","given":"Jeremy","email":"jpesicek@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":654703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cieslik, Konrad","contributorId":177122,"corporation":false,"usgs":false,"family":"Cieslik","given":"Konrad","email":"","affiliations":[],"preferred":false,"id":654704,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lambert, Marc-Andre","contributorId":177123,"corporation":false,"usgs":false,"family":"Lambert","given":"Marc-Andre","email":"","affiliations":[],"preferred":false,"id":654705,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carrillo, Pedro","contributorId":177124,"corporation":false,"usgs":false,"family":"Carrillo","given":"Pedro","email":"","affiliations":[],"preferred":false,"id":654706,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Birkelo, Brad","contributorId":177125,"corporation":false,"usgs":false,"family":"Birkelo","given":"Brad","email":"","affiliations":[],"preferred":false,"id":654707,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70178037,"text":"70178037 - 2016 - Effects of model complexity and priors on estimation using sequential importance sampling/resampling for species conservation","interactions":[],"lastModifiedDate":"2016-11-01T13:25:42","indexId":"70178037","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Effects of model complexity and priors on estimation using sequential importance sampling/resampling for species conservation","docAbstract":"We examined the effects of complexity and priors on the accuracy of models used to estimate ecological and observational processes, and to make predictions regarding population size and structure. State-space models are useful for estimating complex, unobservable population processes and making predictions about future populations based on limited data. To better understand the utility of state space models in evaluating population dynamics, we used them in a Bayesian framework and compared the accuracy of models with differing complexity, with and without informative priors using sequential importance sampling/resampling (SISR). Count data were simulated for 25 years using known parameters and observation process for each model. We used kernel smoothing to reduce the effect of particle depletion, which is common when estimating both states and parameters with SISR. Models using informative priors estimated parameter values and population size with greater accuracy than their non-informative counterparts. While the estimates of population size and trend did not suffer greatly in models using non-informative priors, the algorithm was unable to accurately estimate demographic parameters. This model framework provides reasonable estimates of population size when little to no information is available; however, when information on some vital rates is available, SISR can be used to obtain more precise estimates of population size and process. Incorporating model complexity such as that required by structured populations with stage-specific vital rates affects precision and accuracy when estimating latent population variables and predicting population dynamics. These results are important to consider when designing monitoring programs and conservation efforts requiring management of specific population segments.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2016.08.010","usgsCitation":"Dunham, K., and Grand, J.B., 2016, Effects of model complexity and priors on estimation using sequential importance sampling/resampling for species conservation: Ecological Modelling, v. 340, p. 28-36, https://doi.org/10.1016/j.ecolmodel.2016.08.010.","productDescription":"9 p.","startPage":"28","endPage":"36","ipdsId":"IP-069168","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":330621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"340","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5819a9c1e4b0bb36a4c91007","contributors":{"authors":[{"text":"Dunham, Kylee","contributorId":173081,"corporation":false,"usgs":false,"family":"Dunham","given":"Kylee","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":652582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grand, J. Barry 0000-0002-3576-4567 barry_grand@usgs.gov","orcid":"https://orcid.org/0000-0002-3576-4567","contributorId":579,"corporation":false,"usgs":true,"family":"Grand","given":"J.","email":"barry_grand@usgs.gov","middleInitial":"Barry","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":652581,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70178010,"text":"70178010 - 2016 - Effects of consumption-oriented versus trophy-oriented fisheries on Muskellunge population size structure in northern Wisconsin","interactions":[],"lastModifiedDate":"2016-11-01T13:56:10","indexId":"70178010","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Effects of consumption-oriented versus trophy-oriented fisheries on Muskellunge population size structure in northern Wisconsin","docAbstract":"To determine whether a consumption-oriented fishery was compatible with a trophy-oriented fishery for Muskellunge Esox masquinongy, we modeled effects of a spearing fishery and recreational angling fishery on population size structure (i.e., numbers of fish ≥ 102, 114, and 127 cm) in northern Wisconsin. An individual-based simulation model was used to quantify the effect of harvest mortality at currently observed levels of recreational angling and tribal spearing fishery exploitation, along with simulated increases in exploitation, for three typical growth potentials (i.e., low, moderate, and high) of Muskellunge in northern Wisconsin across a variety of minimum length limits (i.e., 71, 102, 114, and 127 cm). Populations with moderate to high growth potential and minimum length limits ≥ 114 cm were predicted to have lower declines in numbers of trophy Muskellunge when subjected to angling-only and mixed fisheries at observed and increased levels of exploitation, which suggested that fisheries with disparate motivations may be able to coexist under certain conditions such as restrictive length limits and low levels of exploitation. However, for most Muskellunge populations in northern Wisconsin regulated by a 102-cm minimum length limit, both angling and spearing fisheries may reduce numbers of trophy Muskellunge as larger declines were predicted across all growth potentials. Our results may be useful if Muskellunge management options in northern Wisconsin are re-examined in the future.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2016.1214646","usgsCitation":"Faust, M.D., and Hansen, M.J., 2016, Effects of consumption-oriented versus trophy-oriented fisheries on Muskellunge population size structure in northern Wisconsin: North American Journal of Fisheries Management, v. 36, no. 6, p. 1336-1346, https://doi.org/10.1080/02755947.2016.1214646.","productDescription":"11 p.","startPage":"1336","endPage":"1346","ipdsId":"IP-075344","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":330629,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"6","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-28","publicationStatus":"PW","scienceBaseUri":"5819a9c2e4b0bb36a4c9100f","contributors":{"authors":[{"text":"Faust, Matthew D.","contributorId":145776,"corporation":false,"usgs":false,"family":"Faust","given":"Matthew","email":"","middleInitial":"D.","affiliations":[{"id":16232,"text":"Ohio Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":652538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Michael J. 0000-0001-8522-3876 michaelhansen@usgs.gov","orcid":"https://orcid.org/0000-0001-8522-3876","contributorId":5006,"corporation":false,"usgs":true,"family":"Hansen","given":"Michael","email":"michaelhansen@usgs.gov","middleInitial":"J.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":652537,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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