Since 1980, the Lake Tahoe Interagency Monitoring Program (LTIMP) has provided stream-discharge and water quality data—nitrogen (N), phosphorus (P), and suspended sediment—at more than 20 stations in Lake Tahoe Basin streams. To characterize the temporal and spatial patterns in nutrient and sediment loading to the lake, and improve the usefulness of the program and the existing database, we have (1) identified and corrected for sources of bias in the water quality database; (2) generated synthetic datasets for sediments and nutrients, and resampled to compare the accuracy and precision of different load calculation models; (3) using the best models, recalculated total annual loads over the period of record; (4) regressed total loads against total annual and annual maximum daily discharge, and tested for time trends in the residuals; (5) compared loads for different forms of N and P; and (6) tested constituent loads against land use-land cover (LULC) variables using multiple regression. The results show (1) N and P loads are dominated by organic N and particulate P; (2) there are significant long-term downward trends in some constituent loads of some streams; and (3) anthropogenic impervious surface is the most important LULC variable influencing water quality in basin streams. Many of our recommendations for changes in water quality monitoring and load calculation methods have been adopted by the LTIMP.
","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12461","usgsCitation":"Coats, R., Lewis, J., Alvarez, N., and Arneson, P., 2016, Temporal and spatial trends in nutrient and sediment loading to Lake Tahoe, California-Nevada, USA: Journal of the American Water Resources Association, v. 52, no. 6, p. 1347-1365, https://doi.org/10.1111/1752-1688.12461.","productDescription":"19 p.","startPage":"1347","endPage":"1365","ipdsId":"IP-075203","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":337429,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Lake Tahoe","volume":"52","issue":"6","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-04","publicationStatus":"PW","scienceBaseUri":"58c7af9ce4b0849ce9795e7c","contributors":{"authors":[{"text":"Coats, Robert","contributorId":108007,"corporation":false,"usgs":true,"family":"Coats","given":"Robert","affiliations":[],"preferred":false,"id":683865,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewis, Jack","contributorId":189105,"corporation":false,"usgs":false,"family":"Lewis","given":"Jack","email":"","affiliations":[],"preferred":false,"id":683866,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alvarez, Nancy L. nalvarez@usgs.gov","contributorId":4570,"corporation":false,"usgs":true,"family":"Alvarez","given":"Nancy L.","email":"nalvarez@usgs.gov","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":683864,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arneson, Patricia","contributorId":189106,"corporation":false,"usgs":false,"family":"Arneson","given":"Patricia","email":"","affiliations":[],"preferred":false,"id":683867,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70184459,"text":"70184459 - 2016 - The 2015 Fillmore earthquake swarm and possible crustal deformation mechanisms near the bottom of the eastern Ventura Basin, California","interactions":[],"lastModifiedDate":"2017-03-09T13:08:07","indexId":"70184459","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"The 2015 Fillmore earthquake swarm and possible crustal deformation mechanisms near the bottom of the eastern Ventura Basin, California","docAbstract":"The 2015 Fillmore swarm occurred about 6 km west of the city of Fillmore in Ventura, California, and was located beneath the eastern part of the actively subsiding Ventura basin at depths from 11.8 to 13.8 km, similar to two previous swarms in the area. Template‐matching event detection showed that it started on 5 July 2015 at 2:21 UTC with an M∼1.0 earthquake. The swarm exhibited unusual episodic spatial and temporal migrations and unusual diversity in the nodal planes of the focal mechanisms as compared to the simple hypocenter‐defined plane. It was also noteworthy because it consisted of >1400 events of M≥0.0, with M 2.8 being the largest event. We suggest that fluids released by metamorphic dehydration processes, migration of fluids along a detachment zone, and cascading asperity failures caused this prolific earthquake swarm, but other mechanisms (such as simple mainshock–aftershock stress triggering or a regional aseismic creep event) are less likely. Dilatant strengthening may be a mechanism that causes the temporal decay of the swarm as pore‐pressure drop increased the effective normal stress, and counteracted the instability driving the swarm.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220160020","usgsCitation":"Hauksson, E., Andrews, J., Plesch, A., Shaw, J.H., and Shelly, D.R., 2016, The 2015 Fillmore earthquake swarm and possible crustal deformation mechanisms near the bottom of the eastern Ventura Basin, California: Seismological Research Letters, v. 87, no. 4, p. 807-815, https://doi.org/10.1785/0220160020.","productDescription":"9 p.","startPage":"807","endPage":"815","ipdsId":"IP-070915","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":470384,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1785/0220160020","text":"External Repository"},{"id":337210,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Eastern Ventura Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.47769165039061,\n 34.15159051366224\n ],\n [\n -118.79928588867188,\n 34.15159051366224\n ],\n [\n -118.79928588867188,\n 34.558597459864096\n ],\n [\n -119.47769165039061,\n 34.558597459864096\n ],\n [\n -119.47769165039061,\n 34.15159051366224\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"87","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-18","publicationStatus":"PW","scienceBaseUri":"58c277d8e4b014cc3a3e76af","contributors":{"authors":[{"text":"Hauksson, Egill","contributorId":48174,"corporation":false,"usgs":false,"family":"Hauksson","given":"Egill","affiliations":[{"id":27150,"text":"Seismological Laboratory, California Institute of Technology, Pasadena, CA, USA","active":true,"usgs":false}],"preferred":false,"id":681601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andrews, Jennifer","contributorId":187764,"corporation":false,"usgs":false,"family":"Andrews","given":"Jennifer","affiliations":[],"preferred":false,"id":681602,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plesch, Andreas 0000-0002-3355-9199","orcid":"https://orcid.org/0000-0002-3355-9199","contributorId":187765,"corporation":false,"usgs":false,"family":"Plesch","given":"Andreas","email":"","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":681603,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shaw, John H.","contributorId":187766,"corporation":false,"usgs":false,"family":"Shaw","given":"John","email":"","middleInitial":"H.","affiliations":[{"id":13619,"text":"Department of Earth & Planetary Sciences, Harvard University, Cambridge, MA","active":true,"usgs":false}],"preferred":false,"id":681604,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shelly, David R. dshelly@usgs.gov","contributorId":2978,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":681600,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70193670,"text":"70193670 - 2016 - Comparison of survey techniques on detection of northern flying squirrels","interactions":[],"lastModifiedDate":"2017-11-04T13:50:51","indexId":"70193670","displayToPublicDate":"2016-12-01T00:00:00","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":"Comparison of survey techniques on detection of northern flying squirrels","docAbstract":"The ability to detect a species is central to the success of monitoring for conservation and management purposes, especially if the species is rare or endangered. Traditional methods, such as live capture, can be labor-intensive, invasive, and produce low detection rates. Technological advances and new approaches provide opportunities to more effectively survey for species both in terms of accuracy and efficiency than previous methods. We conducted a pilot comparison study of a traditional technique (live-trapping) and 2 novel noninvasive techniques (camera-trapping and ultrasonic acoustic surveys) on detection rates of the federally endangered Carolina northern flying squirrel (Glaucomys sabrinus coloratus) in occupied habitat within the Roan Mountain Highlands of North Carolina, USA. In 2015, we established 3 5 × 5 live-trapping grids (6.5 ha) with 4 camera traps and 4 acoustic detectors systematically embedded in each grid. All 3 techniques were used simultaneously during 2 4-day survey periods. We compared techniques by assessing probability of detection (POD), latency to detection (LTD; i.e., no. of survey nights until initial detection), and survey effort. Acoustics had the greatest POD (0.37 ± 0.06 SE), followed by camera traps (0.30 ± 0.06) and live traps (0.01 ± 0.005). Acoustics had a lower LTD than camera traps (P = 0.017), where average LTD was 1.5 nights for acoustics and 3.25 nights for camera traps. Total field effort was greatest with live traps (111.9 hr) followed by acoustics (8.4 hr) and camera traps (9.6 hr), although processing and examination for data of noninvasive techniques made overall effort similar among the 3 methods. This pilot study demonstrated that both noninvasive methods were better rapid-assessment detection techniques for flying squirrels than live traps. However, determining seasonal effects between survey techniques and further development of protocols for both noninvasive techniques is necessary prior to widespread application in the region. 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.715","usgsCitation":"Diggins, C.A., Gilley, L.M., Kelly, C.A., and Ford, W.M., 2016, Comparison of survey techniques on detection of northern flying squirrels: Wildlife Society Bulletin, v. 40, no. 4, p. 654-662, https://doi.org/10.1002/wsb.715.","productDescription":"13 p.","startPage":"654","endPage":"662","ipdsId":"IP-074552","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":500004,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/6e146450458c4b5e965d92d9b6f7a9e5","text":"External Repository"},{"id":348195,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-27","publicationStatus":"PW","scienceBaseUri":"59fedfb5e4b0531197b573c6","contributors":{"authors":[{"text":"Diggins, Corinne A.","contributorId":171667,"corporation":false,"usgs":false,"family":"Diggins","given":"Corinne","email":"","middleInitial":"A.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":720349,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gilley, L. Michelle","contributorId":171670,"corporation":false,"usgs":false,"family":"Gilley","given":"L.","email":"","middleInitial":"Michelle","affiliations":[{"id":35652,"text":"Mars Hill University, Mars Hill, NC","active":true,"usgs":false}],"preferred":false,"id":720350,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelly, Christine A.","contributorId":171661,"corporation":false,"usgs":false,"family":"Kelly","given":"Christine","email":"","middleInitial":"A.","affiliations":[{"id":35598,"text":"North Carolina Wildlife Resources Commission ","active":true,"usgs":false}],"preferred":false,"id":720351,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ford, W. Mark wford@usgs.gov","contributorId":3858,"corporation":false,"usgs":true,"family":"Ford","given":"W.","email":"wford@usgs.gov","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":720352,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70182075,"text":"70182075 - 2016 - Surveillance for Eurasian-origin and intercontinental reassortant highly pathogenic influenza A viruses in Alaska, spring and summer 2015","interactions":[],"lastModifiedDate":"2018-07-16T12:05:25","indexId":"70182075","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3697,"text":"Virology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Surveillance for Eurasian-origin and intercontinental reassortant highly pathogenic influenza A viruses in Alaska, spring and summer 2015","docAbstract":"Background: Eurasian-origin and intercontinental reassortant highly pathogenic (HP) influenza A viruses (IAVs) were first detected in North America in wild, captive, and domestic birds during November–December 2014. Detections of HP viruses in wild birds in the contiguous United States and southern Canadian provinces continued into winter and spring of 2015 raising concerns that migratory birds could potentially disperse viruses to more northerly breeding areas where they could be maintained to eventually seed future poultry outbreaks.
Results: We sampled 1,129 wild birds on the Yukon-Kuskokwim Delta, Alaska, one of the largest breeding areas for waterfowl in North America, during spring and summer of 2015 to test for Eurasian lineage and intercontinental reassortant HP H5 IAVs and potential progeny viruses. We did not detect HP IAVs in our sample collection from western Alaska; however, we isolated five low pathogenic (LP) viruses. Four isolates were of the H6N1 (n = 2), H6N2, and H9N2 combined subtypes whereas the fifth isolate was a mixed infection that included H3 and N7 gene segments. Genetic characterization of these five LP IAVs isolated from cackling (Branta hutchinsii; n = 2) and greater white-fronted geese (Anser albifrons; n = 3), revealed three viral gene segments sharing high nucleotide identity with HP H5 viruses recently detected in North America. Additionally, one of the five isolates was comprised of multiple Eurasian lineage gene segments.
Conclusions: Our results did not provide direct evidence for circulation of HP IAVs in the Yukon-Kuskokwim Delta region of Alaska during spring and summer of 2015. Prevalence and genetic characteristics of LP IAVs during the sampling period are concordant with previous findings of relatively low viral prevalence in geese during spring, non-detection of IAVs in geese during summer, and evidence for intercontinental exchange of viruses in western Alaska.
This historical review traces the origins of the current national seismic system in the United States, a cooperative effort that unifies national, regional, and local‐scale seismic monitoring within the structure of the Advanced National Seismic System (ANSS). The review covers (1) the history and technological evolution of U.S. seismic networks leading up to the 1990s, (2) factors that made the 1960s and 1970s a watershed period for national attention to seismology, earthquake hazards, and seismic monitoring, (3) genesis of the vision of a national seismic system during 1980–1983, (4) obstacles and breakthroughs during 1984–1989, (5) consensus building and convergence during 1990–1992, and finally (6) the two‐step realization of a national system during 1993–2000. Particular importance is placed on developments during the period between 1980 and 1993 that culminated in the adoption of a charter for the Council of the National Seismic System (CNSS)—the foundation for the later ANSS. Central to this story is how many individuals worked together toward a common goal of a more rational and sustainable approach to national earthquake monitoring in the United States. The review ends with the emergence of ANSS during 1999 and 2000 and its statutory authorization by Congress in November 2000.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220160039","usgsCitation":"Filson, J.R., and Arabasz, W.J., 2016, Origins of a national seismic system in the United States: Seismological Research Letters, v. 88, no. 1, p. 131-143, https://doi.org/10.1785/0220160039.","productDescription":"13 p.","startPage":"131","endPage":"143","ipdsId":"IP-070323","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":349025,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"88","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-09","publicationStatus":"PW","scienceBaseUri":"5a60fc7de4b06e28e9c23f04","contributors":{"authors":[{"text":"Filson, John R. 0000-0001-8840-6301 jfilson@usgs.gov","orcid":"https://orcid.org/0000-0001-8840-6301","contributorId":5078,"corporation":false,"usgs":true,"family":"Filson","given":"John","email":"jfilson@usgs.gov","middleInitial":"R.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":722560,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arabasz, Walter J.","contributorId":200529,"corporation":false,"usgs":false,"family":"Arabasz","given":"Walter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":722561,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70184183,"text":"70184183 - 2016 - Topographic and fire weather controls of fire refugia in forested ecosystems of northwestern North America","interactions":[],"lastModifiedDate":"2018-03-27T09:54:46","indexId":"70184183","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Topographic and fire weather controls of fire refugia in forested ecosystems of northwestern North America","docAbstract":"Fire refugia, sometimes referred to as fire islands, shadows, skips, residuals, or fire remnants, are an important element of the burn mosaic, but we lack a quantitative framework that links observations of fire refugia from different environmental contexts. Here, we develop and test a conceptual model for how predictability of fire refugia varies according to topographic complexity and fire weather conditions. Refugia were quantified as areas unburned or burned at comparatively low severity based on remotely sensed burn severity data. We assessed the relationship between refugia and a suite of terrain-related explanatory metrics by fitting a collection of boosted regression tree models. The models were developed\nfor seven study fires that burned in conifer-dominated forested landscapes of the Western Cordillera of Canada between 2001 and 2014. We fit nine models, each for distinct levels of fire weather and terrain ruggedness. Our framework revealed that the predictability and abundance of fire refugia varied among these environmental settings. We observed highest predictability under moderate fire weather conditions and moderate terrain ruggedness (ROC-AUC = 0.77), and lowest predictability in flatter landscapes and under high fire weather conditions (ROC-AUC = 0.63–0.68). Catchment slope, local aspect, relative position, topographic wetness, topographic convergence, and local slope all contributed to discriminating where refugia occur but the relative importance of these topographic controls differed among environments. Our framework allows us to characterize the predictability of contemporary fire refugia across multiple environmental settings and provides important insights for ecosystem resilience, wildfire management, conservation planning, and climate change adaptation.","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.1632","usgsCitation":"Krawchuk, M.A., Haire, S.L., Coop, J.D., Parisien, M., Whitman, E., Chong, G.W., and Miller, C., 2016, Topographic and fire weather controls of fire refugia in forested ecosystems of northwestern North America: Ecosphere, v. 7, no. 12, p. 1-18, https://doi.org/10.1002/ecs2.1632.","productDescription":"18 p.","startPage":"1","endPage":"18","ipdsId":"IP-074382","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":462015,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1632","text":"Publisher Index Page"},{"id":336773,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-29","publicationStatus":"PW","scienceBaseUri":"58b7eba4e4b01ccd5500baeb","contributors":{"authors":[{"text":"Krawchuk, Meg A.","contributorId":187425,"corporation":false,"usgs":false,"family":"Krawchuk","given":"Meg","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":680389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haire, Sandra L.","contributorId":187426,"corporation":false,"usgs":false,"family":"Haire","given":"Sandra","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":680390,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coop, Jonathan D.","contributorId":187427,"corporation":false,"usgs":false,"family":"Coop","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":680391,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parisien, Marc-André","contributorId":187428,"corporation":false,"usgs":false,"family":"Parisien","given":"Marc-André","affiliations":[],"preferred":false,"id":680392,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whitman, Ellen","contributorId":187429,"corporation":false,"usgs":false,"family":"Whitman","given":"Ellen","email":"","affiliations":[],"preferred":false,"id":680393,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chong, Geneva W. 0000-0003-3883-5153 geneva_chong@usgs.gov","orcid":"https://orcid.org/0000-0003-3883-5153","contributorId":419,"corporation":false,"usgs":true,"family":"Chong","given":"Geneva","email":"geneva_chong@usgs.gov","middleInitial":"W.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":680388,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Miller, Carol","contributorId":187430,"corporation":false,"usgs":false,"family":"Miller","given":"Carol","email":"","affiliations":[],"preferred":false,"id":680394,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70184187,"text":"70184187 - 2016 - Summary of SPT based field case history data of CETIN (2016) database","interactions":[],"lastModifiedDate":"2017-03-16T12:09:49","indexId":"70184187","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesNumber":"METU / GTENG 08/16-01","title":"Summary of SPT based field case history data of CETIN (2016) database","docAbstract":"This report provides documentation of the Cetin et al. (2016) field performance case histories, probabilistic maximum likelihood assessment and the sources of differences between the liquefaction triggering resistance estimations (CRR values) of the widely used liquefaction triggering relationships of Seed et al. (1985), Cetin et al. (2004, 2016) and Boulanger and Idriss (2012).
Cetin et al. (2016-a) presented a concise summary of the improved database and the updated triggering relationships. For the sake of completeness, as part of Chapter 2 of this report, Cetin et al. (2016-a) manuscript is re-presented, as edited to include the electronic supplements, and a broader and more detailed documentation of all of case histories. This broader and more detailed documentation along with the interpretations of other researchers is presented in Appendix A. Similarly, site response analyses details and results from Cetin (2000) is re-presented in Appendix B. To enable the readers to quickly refer to Cetin and Seed (2004), it is also included in Appendix C.
The sources of differences between the liquefaction triggering resistance estimations (CRR values) of the widely used liquefaction triggering relationships of Seed et al. (1985), Cetin et al. (2004) and Boulanger and Idriss (2012) were discussed in Cetin et al. (2016-b). Again, for the sake of completeness, as part of Chapter 3 of this report, Cetin et al. (2016-b) manuscript is re-presented, as edited to the include of electronic supplements, and a detailed response to issues addressed by Idriss and Boulanger (2012). Also, the technical response letter (Cetin, 2014) prepared at the request of the members of the NRC Committee on the State of the Art and Practice in Earthquake Induced Soil Liquefaction Assessment, is given in Appendix D, which is helpful to follow the technical discussions.
This report is intended only as a concise summary of a vast amount of data. The interpretations presented are those of the research team. A more detailed description of some of the details of the methods and procedures used to evaluate and analyze these field performance case histories is also presented in Cetin (2000) and Cetin et al. (2000) though the final evaluations presented in this report are the most recent interpretations undertaken under these current studies.
","language":"English","publisher":"Middle East Technical University","usgsCitation":"Onder Cetin, K., Seed, R., Kayen, R., Moss, R., Bilge, H.T., Ilgac, M., and Chowdhury, K., 2016, Summary of SPT based field case history data of CETIN (2016) database, ii, 120 p., Appendices.","productDescription":"ii, 120 p., Appendices","numberOfPages":"703","ipdsId":"IP-072851","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":337737,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58cba41ae4b0849ce97dc740","contributors":{"authors":[{"text":"Onder Cetin, K.","contributorId":189414,"corporation":false,"usgs":false,"family":"Onder Cetin","given":"K.","email":"","affiliations":[],"preferred":false,"id":684771,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seed, Raymond B.","contributorId":62162,"corporation":false,"usgs":true,"family":"Seed","given":"Raymond B.","affiliations":[],"preferred":false,"id":684772,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kayen, Robert E. rkayen@usgs.gov","contributorId":2787,"corporation":false,"usgs":true,"family":"Kayen","given":"Robert E.","email":"rkayen@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":684773,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moss, Robb E. S.","contributorId":146591,"corporation":false,"usgs":false,"family":"Moss","given":"Robb E. S.","affiliations":[{"id":16725,"text":"California Polytechnic State University, San Luis Obispo","active":true,"usgs":false}],"preferred":false,"id":684774,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bilge, H. Tolga","contributorId":189416,"corporation":false,"usgs":false,"family":"Bilge","given":"H.","email":"","middleInitial":"Tolga","affiliations":[],"preferred":false,"id":684775,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ilgac, Makbule","contributorId":189417,"corporation":false,"usgs":false,"family":"Ilgac","given":"Makbule","affiliations":[],"preferred":false,"id":684776,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chowdhury, Khaled","contributorId":189418,"corporation":false,"usgs":false,"family":"Chowdhury","given":"Khaled","affiliations":[],"preferred":false,"id":684777,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70181776,"text":"70181776 - 2016 - Population-specific life histories contribute to metapopulation viability","interactions":[],"lastModifiedDate":"2017-02-14T11:04:50","indexId":"70181776","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Population-specific life histories contribute to metapopulation viability","docAbstract":"Restoration efforts can be improved by understanding how variations in life-history traits occur within populations of the same species living in different environments. This can be done by first understanding the demographic responses of natural occurring populations. Population viability analysis continues to be useful to species management and conservation with sensitivity analysis aiding in the understanding of population dynamics. In this study, using life-table response experiments and elasticity analyses, we investigated how population-specific life-history demographic responses contributed to the metapopulation viability of the Federally threatened Pitcher's thistle (Cirsium pitcheri). Specifically, we tested the following hypotheses: (1) Subpopulations occupying different environments within a metapopulation have independent demographic responses and (2) advancing succession results in a shift from a demographic response focused on growth and fecundity to one dominated by stasis. Our results showed that reintroductions had a positive contribution to the metapopulation growth rate as compared to native populations which had a negative contribution. We found no difference in succession on the contribution to metapopulation viability. In addition, we identified distinct population-specific contributions to metapopulation viability and were able to associate specific life-history demographic responses. For example, the positive impact of Miller High Dunes population on the metapopulation growth rate resulted from high growth contributions, whereas increased time of plant in stasis for the State Park Big Blowout population resulted in negative contributions. A greater understanding of how separate populations respond in their corresponding environment may ultimately lead to more effective management strategies aimed at reducing extinction risk. We propose the continued use of sensitivity analyses to evaluate population-specific demographic influences on metapopulation viability. In understanding the underlying causes of the projected extinction probabilities of each population and identifying broad-scale contributions of different populations to the metapopulation, the process of pinpointing target populations is simplified. More detailed analyses can then be applied to the target populations to increase population viability and consequently metapopulation viability. Based on our research, we suggest that the best approach to improve the overall metapopulation viability is to manage the contributions to population growth for each population separately.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1536","usgsCitation":"Halsey, S.J., Bell, T.J., McEachern, K., and Pavlovic, N.B., 2016, Population-specific life histories contribute to metapopulation viability: Ecosphere, v. 7, no. 11, p. 1-13, https://doi.org/10.1002/ecs2.1536.","productDescription":"e01536; 13 p.","startPage":"1","endPage":"13","ipdsId":"IP-073189","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":470360,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1536","text":"Publisher Index Page"},{"id":335331,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"11","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-08","publicationStatus":"PW","scienceBaseUri":"58a4252fe4b0c825128ad404","chorus":{"doi":"10.1002/ecs2.1536","url":"http://dx.doi.org/10.1002/ecs2.1536","publisher":"Wiley-Blackwell","authors":"Halsey Samniqueka J., Bell Timothy J., McEachern Kathryn, Pavlovic Noel B.","journalName":"Ecosphere","publicationDate":"11/2016","auditedOn":"11/15/2016"},"contributors":{"authors":[{"text":"Halsey, Samniqueka J.","contributorId":181523,"corporation":false,"usgs":false,"family":"Halsey","given":"Samniqueka","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":668485,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bell, Timothy J.","contributorId":181524,"corporation":false,"usgs":false,"family":"Bell","given":"Timothy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":668486,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McEachern, Kathryn 0000-0003-2631-8247 kathryn_mceachern@usgs.gov","orcid":"https://orcid.org/0000-0003-2631-8247","contributorId":146324,"corporation":false,"usgs":true,"family":"McEachern","given":"Kathryn","email":"kathryn_mceachern@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":668487,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pavlovic, Noel B. 0000-0002-2335-2274 npavlovic@usgs.gov","orcid":"https://orcid.org/0000-0002-2335-2274","contributorId":1976,"corporation":false,"usgs":true,"family":"Pavlovic","given":"Noel","email":"npavlovic@usgs.gov","middleInitial":"B.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":668484,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70182236,"text":"70182236 - 2016 - The relative contributions of disease and insects in the decline of a long-lived tree: a stochastic demographic model of whitebark pine (Pinus albicaulis)","interactions":[],"lastModifiedDate":"2017-02-22T16:01:15","indexId":"70182236","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"The relative contributions of disease and insects in the decline of a long-lived tree: a stochastic demographic model of whitebark pine (Pinus albicaulis)","docAbstract":"Pathogens and insect pests have become increasingly important drivers of tree mortality in forested ecosystems. Unfortunately, understanding the relative contributions of multiple mortality agents to the population decline of trees is difficult, because it requires frequent measures of tree survival, growth, and recruitment, as well as the incidence of mortality agents. We present a population model of whitebark pine (Pinus albicaulis), a high-elevation tree undergoing rapid decline in western North America. The loss of whitebark pine is thought to be primarily due to an invasive pathogen (white pine blister rust; Cronartium ribicola) and a native insect (mountain pine beetle; Dendroctonus ponderosae). We utilized seven plots in Crater Lake National Park (Oregon, USA) where 1220 trees were surveyed for health and the presence of blister rust and beetle activity annually from 2003–2014, except 2008. We constructed size-based projection matrices for nine years and calculated the deterministic growth rate (λ) using an average matrix and the stochastic growth rate (λs) by simulation for whitebark pine in our study population. We then assessed the roles of blister rust and beetles by calculating λ and λsusing matrices in which we removed trees with blister rust and, separately, trees with beetles. We also conducted life-table response experiments (LTRE) to determine which demographic changes contributed most to differences in λ between ambient conditions and the two other scenarios. The model suggests that whitebark pine in our plots are currently declining 1.1% per year (λ = 0.9888, λs = 0.9899). Removing blister rust from the models resulted in almost no increase in growth (λ = 0.9916, λs = 0.9930), while removing beetles resulted in a larger increase in growth (λ = 1.0028, λs = 1.0045). The LTRE demonstrated that reductions in stasis of the three largest size classes due to beetles contributed most to the smaller λ in the ambient condition. Our work demonstrates a method for assessing the relative effects of different mortality agents on declining tree populations, and it shows that the effects of insects and pathogens can be markedly different from one another. In our study, beetle activity significantly reduced tree population growth while a pathogen had minimal effect, thus management actions to stabilize our study population will likely need to include reducing beetle activity.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2016.09.022","usgsCitation":"Jules, E., Jackson, J.I., van Mantgem, P.J., Beck, J.S., Murray, M.P., and Sahara, E.A., 2016, The relative contributions of disease and insects in the decline of a long-lived tree: a stochastic demographic model of whitebark pine (Pinus albicaulis): Forest Ecology and Management, v. 381, p. 144-156, https://doi.org/10.1016/j.foreco.2016.09.022.","productDescription":"13 p.","startPage":"144","endPage":"156","ipdsId":"IP-075247","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":470354,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2016.09.022","text":"Publisher Index Page"},{"id":336015,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"381","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58aeb13be4b01ccd54f9ee18","chorus":{"doi":"10.1016/j.foreco.2016.09.022","url":"http://dx.doi.org/10.1016/j.foreco.2016.09.022","publisher":"Elsevier BV","authors":"Jules Erik S., Jackson Jenell I., van Mantgem Phillip J., Beck Jennifer S., Murray Michael P., Sahara E. April","journalName":"Forest Ecology and Management","publicationDate":"12/2016"},"contributors":{"authors":[{"text":"Jules, Erik S","contributorId":181945,"corporation":false,"usgs":false,"family":"Jules","given":"Erik S","affiliations":[],"preferred":false,"id":670110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jackson, Jenell I.","contributorId":181946,"corporation":false,"usgs":false,"family":"Jackson","given":"Jenell","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":670111,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422 pvanmantgem@usgs.gov","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":2838,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip","email":"pvanmantgem@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":670109,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beck, Jennifer S.","contributorId":181947,"corporation":false,"usgs":false,"family":"Beck","given":"Jennifer","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":670112,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murray, Michael P.","contributorId":181948,"corporation":false,"usgs":false,"family":"Murray","given":"Michael","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":670113,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sahara, E. April","contributorId":181949,"corporation":false,"usgs":false,"family":"Sahara","given":"E.","email":"","middleInitial":"April","affiliations":[],"preferred":false,"id":670114,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70191808,"text":"70191808 - 2016 - Managing adaptively for multifunctionality in agricultural systems","interactions":[],"lastModifiedDate":"2017-10-18T11:18:04","indexId":"70191808","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Managing adaptively for multifunctionality in agricultural systems","docAbstract":"The critical importance of agricultural systems for food security and as a dominant global landcover requires management that considers the full dimensions of system functions at appropriate scales, i.e. multifunctionality. We propose that adaptive management is the most suitable management approach for such goals, given its ability to reduce uncertainty over time and support multiple objectives within a system, for multiple actors. As such, adaptive management may be the most appropriate method for sustainably intensifying production whilst increasing the quantity and quality of ecosystem services. However, the current assessment of performance of agricultural systems doesn’t reward ecosystem service provision. Therefore, we present an overview of the ecosystem functions agricultural systems should and could provide, coupled with a revised definition for assessing the performance of agricultural systems from a multifunctional perspective that, when all satisfied, would create adaptive agricultural systems that can increase production whilst ensuring food security and the quantity and quality of ecosystem services. The outcome of this high level of performance is the capacity to respond to multiple shocks without collapse, equity and triple bottom line sustainability. Through the assessment of case studies, we find that alternatives to industrialized agricultural systems incorporate more functional goals, but that there are mixed findings as to whether these goals translate into positive measurable outcomes. We suggest that an adaptive management perspective would support the implementation of a systematic analysis of the social, ecological and economic trade-offs occurring within such systems, particularly between ecosystem services and functions, in order to provide suitable and comparable assessments. We also identify indicators to monitor performance at multiple scales in agricultural systems which can be used within an adaptive management framework to increase resilience at multiple scales.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2016.05.064","usgsCitation":"Hodbod, J., Barreteau, O., Allen, C.R., and Magda, D., 2016, Managing adaptively for multifunctionality in agricultural systems: Journal of Environmental Management, v. 183, no. 2, p. 379-388, https://doi.org/10.1016/j.jenvman.2016.05.064.","productDescription":"10 p.","startPage":"379","endPage":"388","ipdsId":"IP-075856","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":488715,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://eprints.whiterose.ac.uk/200309/","text":"External Repository"},{"id":346842,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"183","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e86838e4b05fe04cd4d211","contributors":{"authors":[{"text":"Hodbod, Jennifer","contributorId":197366,"corporation":false,"usgs":false,"family":"Hodbod","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":713320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barreteau, Olivier","contributorId":173849,"corporation":false,"usgs":false,"family":"Barreteau","given":"Olivier","email":"","affiliations":[{"id":27301,"text":"IRSTEA - UMR G-EAU (France)","active":true,"usgs":false}],"preferred":false,"id":713321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":713211,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Magda, Daniele","contributorId":197367,"corporation":false,"usgs":false,"family":"Magda","given":"Daniele","email":"","affiliations":[],"preferred":false,"id":713322,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70194004,"text":"70194004 - 2016 - Occurrence and effects of endocrine-disrupting chemicals in the St. Croix River","interactions":[],"lastModifiedDate":"2017-12-21T10:10:31","indexId":"70194004","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Occurrence and effects of endocrine-disrupting chemicals in the St. Croix River","docAbstract":"The St. Croix River is one of the last undisturbed, large floodplain rivers in the upper Mississippi River System. The Saint Croix National Scenic Riverway encompasses 255 river miles from the St. Croix Flowage and Namekagon River to the confluence of the St. Croix River with the Mississippi River at Prescott, Wisconsin. The Wild and Scenic Rivers Act of 1968 includes protection of the “outstandingly remarkable values” of the St. Croix and Namekagon rivers, which are included in the first eight designated wild and scenic rivers. The National Park Service (NPS) supports efforts to ensure these high-quality waters are not degraded by endocrine-disrupting or pharmaceutically active chemicals.","language":"English","publisher":"National Park Service","usgsCitation":"Elliott, S.M., and Lee, K., 2016, Occurrence and effects of endocrine-disrupting chemicals in the St. Croix River, 2 p.","productDescription":"2 p.","ipdsId":"IP-077891","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":350120,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350119,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://www.nature.nps.gov/water/crystalclear/assets/docs/SACN_Crystal_Clear_Brief.pdf","text":"Report","size":"738 kB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":348738,"type":{"id":15,"text":"Index Page"},"url":"https://www.nature.nps.gov/water/crystalclear/projects.cfm"}],"country":"United States","state":"Minnesota, Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.06817626953125,\n 46.137976523476574\n ],\n [\n -92.1807861328125,\n 46.160809861457125\n ],\n [\n -92.38677978515625,\n 46.13607331774968\n ],\n [\n -92.57904052734375,\n 46.117037642576875\n ],\n [\n -92.80426025390625,\n 45.97215152618961\n ],\n [\n -92.9498291015625,\n 45.86132487333675\n ],\n [\n -92.955322265625,\n 45.84028105450088\n ],\n [\n -92.92236328125,\n 45.25362179991922\n ],\n [\n -92.8564453125,\n 44.731125592643274\n ],\n [\n -92.66693115234375,\n 44.73697895420882\n ],\n [\n -92.59277343749999,\n 45.08127861241874\n ],\n [\n -92.5213623046875,\n 45.398449976304086\n ],\n [\n -92.56256103515625,\n 45.592900208269825\n ],\n [\n -92.46093749999999,\n 45.763690956618674\n ],\n [\n -92.32635498046875,\n 45.93778073466329\n ],\n [\n -92.076416015625,\n 46.02176059146292\n ],\n [\n -92.06817626953125,\n 46.137976523476574\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc7de4b06e28e9c23f07","contributors":{"authors":[{"text":"Elliott, Sarah M. 0000-0002-1414-3024 selliott@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-3024","contributorId":1472,"corporation":false,"usgs":true,"family":"Elliott","given":"Sarah","email":"selliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":721888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Kathy 0000-0002-7683-1367 klee@usgs.gov","orcid":"https://orcid.org/0000-0002-7683-1367","contributorId":2538,"corporation":false,"usgs":true,"family":"Lee","given":"Kathy","email":"klee@usgs.gov","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":721889,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70187247,"text":"70187247 - 2016 - Canada goose nest survival at rural wetlands in north-central Iowa","interactions":[],"lastModifiedDate":"2017-04-28T13:16:43","indexId":"70187247","displayToPublicDate":"2016-12-01T00:00:00","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":"Canada goose nest survival at rural wetlands in north-central Iowa","docAbstract":"The last comprehensive nest survival study of the breeding giant Canada goose (Branta canadensis maxima) population in Iowa, USA, was conducted >30 years ago during a period of population recovery, during which available nesting habitat consisted primarily of artificial nest structures. Currently, Iowa's resident goose population is stable and nests in a variety of habitats. We analyzed the effects of available habitat on nest survival and how nest survival rates compared with those of the expanding goose population studied previously to better understand how to maintain a sustainable Canada goose population in Iowa. We documented Canada goose nest survival at rural wetland sites in north-central Iowa. We monitored 121 nests in 2013 and 149 nests in 2014 at 5 Wildlife Management Areas (WMAs) with various nesting habitats, including islands, muskrat (Ondatra zibethicus) houses, and elevated nest structures. We estimated daily nest-survival rate using the nest survival model in Program MARK. Survival was influenced by year, site, stage, presence of a camera, nest age, and an interaction between nest age and stage. Nest success rates for the 28-day incubation period by site and year combination ranged from 0.10 to 0.84. Nest survival was greatest at sites with nest structures (β = 17.34). Nest survival was negatively affected by lowered water levels at Rice Lake WMA (2013 β = −0.77, nest age β = −0.07). Timing of water-level drawdowns for shallow lake restorations may influence nest survival rates.
","language":"English","publisher":"Wiley","doi":"10.1002/wsb.716","usgsCitation":"Ness, B.N., and Klaver, R.W., 2016, Canada goose nest survival at rural wetlands in north-central Iowa: Wildlife Society Bulletin, v. 40, no. 4, p. 705-713, https://doi.org/10.1002/wsb.716.","productDescription":"9 p.","startPage":"705","endPage":"713","ipdsId":"IP-066674","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470366,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/nrem_pubs/222","text":"External Repository"},{"id":340615,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","otherGeospatial":"Cerro Gordo County, Hancock County, Winnebago County, Worth County, Wright County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-93.0242,43.2564],[-93.0245,43.2122],[-93.0242,43.1695],[-93.0241,43.0826],[-93.0241,42.9939],[-93.026,42.9071],[-93.1455,42.9075],[-93.2637,42.9073],[-93.3813,42.9074],[-93.4989,42.9075],[-93.4996,42.8184],[-93.4996,42.7306],[-93.4996,42.6434],[-93.5002,42.557],[-93.6191,42.5565],[-93.7367,42.5568],[-93.8563,42.557],[-93.972,42.5566],[-93.9714,42.6434],[-93.9714,42.7307],[-93.9713,42.8184],[-93.9713,42.9066],[-93.9713,42.9926],[-93.9713,43.0822],[-93.97,43.1691],[-93.9699,43.2573],[-93.9705,43.3447],[-93.9699,43.4334],[-93.9691,43.5044],[-93.6782,43.5047],[-93.6485,43.5045],[-93.4964,43.504],[-93.2844,43.5032],[-93.0502,43.5034],[-93.0238,43.5035],[-93.0242,43.432],[-93.0242,43.3442],[-93.0242,43.2564]]]},\"properties\":{\"name\":\"Cerro Gordo\",\"state\":\"IA\"}}]}","volume":"40","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-25","publicationStatus":"PW","scienceBaseUri":"590454a3e4b022cee40dc22a","contributors":{"authors":[{"text":"Ness, Brenna N.","contributorId":191566,"corporation":false,"usgs":false,"family":"Ness","given":"Brenna","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":693488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":693105,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70176647,"text":"70176647 - 2016 - Shifting currents: Progress, setbacks, and shifts in policy and practice","interactions":[],"lastModifiedDate":"2017-04-17T16:17:14","indexId":"70176647","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Shifting currents: Progress, setbacks, and shifts in policy and practice","docAbstract":"The Wisconsin Academy’s initial Waters of Wisconsin project (WOW I) facilitated a statewide conversation between 2000 and 2003 around one main question: How can we ensure healthy aquatic ecosystems and clean, abundant water supplies for tomorrow’s Wisconsin? Robust participation in this conversation underscored the important role citizens have in the stewardship of our waters, and we found enthusiastic support for farsighted policies—based on sound science—to manage our water legacy.
Overall, we found that Wisconsinites cherish water and see our waters as essential to our way of life in Wisconsin. Nationally, our state ranks 25th in land area but has the fourth-highest area covered by water. Wisconsin is 20th in population but is second only to Florida in the number of fishing licenses sold each year. Clean water supports billions of dollars’ worth of economic activity through tourism, agriculture, and industry.
From the Northwoods cabin to the Port of Milwaukee to the Wisconsin Dells, water shapes our state’s identity. Our tradition of safeguarding Wisconsin’s waters is grounded in values such as responsibility to family and future generations, respect for land and wildlife, protecting public health and safety, and caring for water as a common good, as articulated in the state’s Public Trust Doctrine (see page 9). These deeply held values have also shaped a conservation ethic, and its legacy has served many generations who depend upon and enjoy the waters of the state.
Through WOW I, we identified the need to overcome the institutional and disciplinary separation of science, policy, and management protocols through a more integrated approach to water management. WOW also affirmed that the Wisconsin Department of Natural Resources (DNR) and other public agencies play a critical role in sound scientific application, citizen participation, and the practical implementation of policy while balancing public and private interests toward the goal of a clean water future.
More than a decade has passed since our first statewide WOW conversation and the report that captured recommendations from its participants: Waters of Wisconsin: The Future of Our Aquatic Ecosystems and Resources. Drawing from a diverse and growing set of stakeholders from across the state, the Wisconsin Academy initiated a new conversation in 2012 (known as WOW II) to assess progress in regard to our 2003 recommendations. We also sought to review the status of waters in Wisconsin today.
The result of this renewed conversation is Shifting Currents: Progress, Setbacks, and Shifts in Policy and Practice. The new report assesses progress in brief, and explores in greater depth the continuing and emerging challenges to water quality, supply, and aquatic ecosystems in Wisconsin.
In this report, we first review the context and frameworks for public decision-making about water and then examine some of the root causes—or “drivers”—and ecological stressors that underlie many of the symptoms we see in the form of pollution or ecosystem degradation in Wisconsin. This is followed by a summary of current water issues, many of which had been identified in the 2003 report and remain relevant today. We examine progress since 2003 but also setbacks, and discuss issues that we are likely to continue to face in the coming decades, including controlling agricultural runoff, mitigating climate change and grappling with its effects on the state’s waters, protecting groundwater from bacterial contamination and other pollutants, and preventing groundwater depletion. We also attempt to anticipate issues on the horizon. We offer a deeper look at some particular challenges, such as phosphorus pollution and groundwater contamination. We then consider the current decision-making framework and how it is shaping our capacity to respond to water challenges in Wisconsin. Finally, we offer recommendations and identify opportunities to safeguard Wisconsin’s waters in the decades ahead.
From its inception, the Wisconsin Academy’s Waters of Wisconsin Initiative has brought together a diverse community of experts from across the state and from varied fields and areas of interest, to address challenges and seize opportunities related to our precious waters. We have done so as a matter of both principle and practical reality: the state of our waters reflects the ways we interact not only with them, but also with one another and our institutions. The WOW Initiative has aimed to provide guidance for Wisconsin citizens in sustaining the health of our aquatic ecosystems and the resilience of our water supplies over the long term.
","language":"English","publisher":"Wisconsin Academy of Sciences, Arts & Letters","usgsCitation":"Wisconsin Academy of Sciences, Arts & Letters, Dunning, C., and Robertson, D.M., 2016, Shifting currents: Progress, setbacks, and shifts in policy and practice, vii, 79 p.","productDescription":"vii, 79 p.","numberOfPages":"90","ipdsId":"IP-079017","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":339827,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":328908,"type":{"id":15,"text":"Index Page"},"url":"https://www.wisconsinacademy.org/initiatives/reports-and-resources"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f5d43de4b0f2e20545e407","contributors":{"authors":[{"text":"Wisconsin Academy of Sciences, Arts & Letters","contributorId":191012,"corporation":true,"usgs":false,"organization":"Wisconsin Academy of Sciences, Arts & Letters","id":691299,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunning, Charles 0000-0002-0597-2058 cdunning@usgs.gov","orcid":"https://orcid.org/0000-0002-0597-2058","contributorId":174864,"corporation":false,"usgs":true,"family":"Dunning","given":"Charles","email":"cdunning@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":649469,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":691298,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70182074,"text":"70182074 - 2016 - Increased prevalence of antibiotic-resistant E. coli in gulls sampled in southcentral Alaska is associated with urban environments","interactions":[],"lastModifiedDate":"2018-07-15T18:35:43","indexId":"70182074","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5083,"text":"Infection Ecology and Epidemiology","active":true,"publicationSubtype":{"id":10}},"title":"Increased prevalence of antibiotic-resistant E. coli in gulls sampled in southcentral Alaska is associated with urban environments","docAbstract":"Background
Antibiotic-resistant bacteria pose challenges to healthcare delivery systems globally; however, limited information is available regarding the prevalence and spread of such bacteria in the environment. The aim of this study was to compare the prevalence of antibiotic-resistant bacteria in large-bodied gulls (Larus spp.) at urban and remote locations in Southcentral Alaska to gain inference into the association between antibiotic resistance in wildlife and anthropogenically influenced habitats.
Methods
Escherichia coli was cultured (n=115 isolates) from fecal samples of gulls (n=160) collected from a remote location, Middleton Island, and a more urban setting on the Kenai Peninsula.
Results
Screening of E. coli from fecal samples collected from glaucous-winged gulls (Larus glaucescens) at Middleton Island revealed 8% of isolates were resistant to one or more antibiotics and 2% of the isolates were resistant to three or more antibiotics. In contrast, 55% of E. coli isolates derived from fecal samples collected from large-bodied gulls (i.e. glaucous, herring [Larus argentatus], and potentially hybrid gulls) on the Kenai Peninsula were resistant to one or more antibiotics and 22% were resistant to three or more antibiotics. In addition, total of 16% of the gull samples from locations on the Kenai Peninsula harbored extended-spectrum cephalosporin-resistant E. coli isolates (extended-spectrum beta-lactamases [ESBL] and plasmid-encoded AmpC [pAmpC]), in contrast to Middleton Island where no ESBL- or pAmpC-producing isolates were detected.
Conclusion
Our findings indicate that increased prevalence of antibiotic resistance is associated with urban environments in Southcentral Alaska and presumably influenced by anthropogenic impacts. Further investigation is warranted to assess how migratory birds may maintain and spread antimicrobial-resistant bacteria of relevance to human and animal health.
In 1946, megathrust seismicity along the Unimak segment of the Alaska subduction zone generated the largest ever recorded Alaska/Aleutian tsunami. The tsunami severely damaged Pacific islands and coastal areas from Alaska to Antarctica. It is the charter member of “tsunami” earthquakes that produce outsized far-field tsunamis for the recorded magnitude. Its source mechanisms were unconstrained by observations because geophysical data for the Unimak segment were sparse and of low resolution. Reprocessing of legacy geophysical data reveals a deep water, high-angle reverse or splay thrust fault zone that leads megathrust slip upward to the mid-slope terrace seafloor rather than along the plate boundary toward the trench axis. Splay fault uplift elevates the outer mid-slope terrace and its inner area subsides. Multibeam bathymetry along the splay fault zone shows recent but undated seafloor disruption. The structural configuration of the nearby Semidi segment is similar to that of the Unimak segment, portending generation of a future large tsunami directed toward the US West coast.
","language":"English","publisher":"Springer","doi":"10.1007/s00024-016-1393-x","usgsCitation":"von Huene, R.E., Miller, J.J., Klaeschen, D., and Dartnell, P., 2016, A possible source mechanism of the 1946 Unimak Alaska far-field tsunami, uplift of the mid-slope terrace above a splay fault zone: Pure and Applied Geophysics, v. 173, no. 12, p. 4189-4201, https://doi.org/10.1007/s00024-016-1393-x.","productDescription":"13 p.","startPage":"4189","endPage":"4201","ipdsId":"IP-078916","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347112,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -168,\n 52\n ],\n [\n -154,\n 52\n ],\n [\n -154,\n 58\n ],\n [\n -168,\n 58\n ],\n [\n -168,\n 52\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"173","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-22","publicationStatus":"PW","scienceBaseUri":"59eeffaae4b0220bbd988fbd","contributors":{"authors":[{"text":"von Huene, Roland E. 0000-0003-1301-3866 rvonhuene@usgs.gov","orcid":"https://orcid.org/0000-0003-1301-3866","contributorId":191070,"corporation":false,"usgs":true,"family":"von Huene","given":"Roland","email":"rvonhuene@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":714821,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, John J. 0000-0002-9098-0967 jjmiller@usgs.gov","orcid":"https://orcid.org/0000-0002-9098-0967","contributorId":5759,"corporation":false,"usgs":true,"family":"Miller","given":"John","email":"jjmiller@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":false,"id":714822,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klaeschen, Dirk","contributorId":198022,"corporation":false,"usgs":false,"family":"Klaeschen","given":"Dirk","email":"","affiliations":[],"preferred":false,"id":714823,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dartnell, Peter 0000-0002-9554-729X pdartnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9554-729X","contributorId":2688,"corporation":false,"usgs":true,"family":"Dartnell","given":"Peter","email":"pdartnell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":714824,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70178632,"text":"70178632 - 2016 - Concentrations of mineral aerosol from desert to plains across the central Rocky Mountains, western United States","interactions":[],"lastModifiedDate":"2017-04-27T10:13:23","indexId":"70178632","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":666,"text":"Aeolian Research","active":true,"publicationSubtype":{"id":10}},"title":"Concentrations of mineral aerosol from desert to plains across the central Rocky Mountains, western United States","docAbstract":"Mineral dusts can have profound effects on climate, clouds, ecosystem processes, and human health. Because regional dust emission and deposition in western North America are not well understood, measurements of total suspended particulate (TSP) from 2011 to 2013 were made along a 500-km transect of five remote sites in Utah and Colorado, USA. The TSP concentrations in μg m−3 adjusted to a 24-h period were relatively high at the two westernmost, dryland sites at Canyonlands National Park (mean = 135) and at Mesa Verde National Park (mean = 99), as well as at the easternmost site on the Great Plains (mean = 143). The TSP concentrations at the two intervening montane sites were less, with more loading on the western slope of the Rocky Mountains (Telluride, mean = 68) closest to the desert sites compared with the site on the eastern slope (Niwot Ridge, mean = 58). Dust concentrations were commonly highest during late winter-late spring, when Pacific frontal storms are the dominant causes of regional wind. Low concentrations (<7 wt%) of organic matter indicated that rock-derived mineral particles composed most TSP. Most TSP mass was carried by particle sizes larger than 10 μm (PM>10), as revealed by relatively low average daily concentrations of fine (<5 μg m−3; PM2.5) and coarse (<10 μg m−3; PM2.5–10) fractions monitored at or near four sites. Standard air-quality measurements for PM2.5 and PM10 apparently do not capture the large majority of mineral-particulate pollution in the remote western interior U.S.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.aeolia.2016.09.001","usgsCitation":"Reynolds, R.L., Munson, S.M., Fernandez, D., Goldstein, H.L., and Neff, J.C., 2016, Concentrations of mineral aerosol from desert to plains across the central Rocky Mountains, western United States: Aeolian Research, v. 23, p. 21-35, https://doi.org/10.1016/j.aeolia.2016.09.001.","productDescription":"15 p.","startPage":"21","endPage":"35","ipdsId":"IP-067488","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":462023,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.aeolia.2016.09.001","text":"Publisher Index Page"},{"id":331402,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"584144dce4b04fc80e50736d","contributors":{"authors":[{"text":"Reynolds, Richard L. 0000-0002-4572-2942 rreynolds@usgs.gov","orcid":"https://orcid.org/0000-0002-4572-2942","contributorId":139068,"corporation":false,"usgs":true,"family":"Reynolds","given":"Richard","email":"rreynolds@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":654643,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":654644,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fernandez, Daniel","contributorId":80588,"corporation":false,"usgs":true,"family":"Fernandez","given":"Daniel","affiliations":[],"preferred":false,"id":654645,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goldstein, Harland L. 0000-0002-6092-8818 hgoldstein@usgs.gov","orcid":"https://orcid.org/0000-0002-6092-8818","contributorId":807,"corporation":false,"usgs":true,"family":"Goldstein","given":"Harland","email":"hgoldstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":654646,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neff, Jason C.","contributorId":169417,"corporation":false,"usgs":false,"family":"Neff","given":"Jason","email":"","middleInitial":"C.","affiliations":[{"id":25504,"text":"Univ. of Colorado, Coulder, CO","active":true,"usgs":false}],"preferred":false,"id":654647,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70179765,"text":"70179765 - 2016 - Using continuous underway isotope measurements to map water residence time in hydrodynamically complex tidal environments","interactions":[],"lastModifiedDate":"2017-01-17T14:23:10","indexId":"70179765","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Using continuous underway isotope measurements to map water residence time in hydrodynamically complex tidal environments","docAbstract":"Stable isotopes present in water (δ2H, δ18O) have been used extensively to evaluate hydrological processes on the basis of parameters such as evaporation, precipitation, mixing, and residence time. In estuarine aquatic habitats, residence time (τ) is a major driver of biogeochemical processes, affecting trophic subsidies and conditions in fish-spawning habitats. But τ is highly variable in estuaries, owing to constant changes in river inflows, tides, wind, and water height, all of which combine to affect τ in unpredictable ways. It recently became feasible to measure δ2H and δ18O continuously, at a high sampling frequency (1 Hz), using diffusion sample introduction into a cavity ring-down spectrometer. To better understand the relationship of τ to biogeochemical processes in a dynamic estuarine system, we continuously measured δ2H and δ18O, nitrate and water quality parameters, on board a small, high-speed boat (5 to >10 m s–1) fitted with a hull-mounted underwater intake. We then calculated τ as is classically done using the isotopic signals of evaporation. The result was high-resolution (∼10 m) maps of residence time, nitrate, and other parameters that showed strong spatial gradients corresponding to geomorphic attributes of the different channels in the area. The mean measured value of τ was 30.5 d, with a range of 0–50 d. We used the measured spatial gradients in both τ and nitrate to calculate whole-ecosystem uptake rates, and the values ranged from 0.006 to 0.039 d–1. The capability to measure residence time over single tidal cycles in estuaries will be useful for evaluating and further understanding drivers of phytoplankton abundance, resolving differences attributable to mixing and water sources, explicitly calculating biogeochemical rates, and exploring the complex linkages among time-dependent biogeochemical processes in hydrodynamically complex environments such as estuaries.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.6b05745","usgsCitation":"Downing, B.D., Bergamaschi, B.A., Kendall, C., Kraus, T.E., Dennis, K.J., Carter, J.A., and von Dessonneck, T., 2016, Using continuous underway isotope measurements to map water residence time in hydrodynamically complex tidal environments: Environmental Science & Technology, v. 50, no. 24, p. 13387-13396, https://doi.org/10.1021/acs.est.6b05745.","productDescription":"10 p.","startPage":"13387","endPage":"13396","ipdsId":"IP-072168","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":470380,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.6b05745","text":"Publisher Index Page"},{"id":438500,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7H70D0N","text":"USGS data release","linkHelpText":"Continuous underway water quality and water isotope measurements in a hydrodynamically complex tidal environment"},{"id":333260,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento−San Joaquin River Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.69898986816406,\n 38.2225380989223\n ],\n [\n -121.69898986816406,\n 38.37019391098433\n ],\n [\n -121.63650512695312,\n 38.37019391098433\n ],\n [\n -121.63650512695312,\n 38.2225380989223\n ],\n [\n -121.69898986816406,\n 38.2225380989223\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"50","issue":"24","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-06","publicationStatus":"PW","scienceBaseUri":"587f3bf9e4b0d96de256453f","contributors":{"authors":[{"text":"Downing, Bryan D. 0000-0002-2007-5304 bdowning@usgs.gov","orcid":"https://orcid.org/0000-0002-2007-5304","contributorId":1449,"corporation":false,"usgs":true,"family":"Downing","given":"Bryan","email":"bdowning@usgs.gov","middleInitial":"D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":658596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":140776,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian","email":"bbergama@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":658597,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kendall, Carol 0000-0002-0247-3405 ckendall@usgs.gov","orcid":"https://orcid.org/0000-0002-0247-3405","contributorId":1462,"corporation":false,"usgs":true,"family":"Kendall","given":"Carol","email":"ckendall@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":658598,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kraus, Tamara E. 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warming","interactions":[],"lastModifiedDate":"2017-02-13T13:58:57","indexId":"70178934","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Temperature response of soil respiration largely unaltered with experimental warming","docAbstract":"The respiratory release of carbon dioxide (CO2) from soil is a major yet poorly understood flux in the global carbon cycle. Climatic warming is hypothesized to increase rates of soil respiration, potentially fueling further increases in global temperatures. However, despite considerable scientific attention in recent decades, the overall response of soil respiration to anticipated climatic warming remains unclear. We synthesize the largest global dataset to date of soil respiration, moisture, and temperature measurements, totaling >3,800 observations representing 27 temperature manipulation studies, spanning nine biomes and over 2 decades of warming. Our analysis reveals no significant differences in the temperature sensitivity of soil respiration between control and warmed plots in all biomes, with the exception of deserts and boreal forests. Thus, our data provide limited evidence of acclimation of soil respiration to experimental warming in several major biome types, contrary to the results from multiple single-site studies. Moreover, across all nondesert biomes, respiration rates with and without experimental warming follow a Gaussian response, increasing with soil temperature up to a threshold of ∼25 °C, above which respiration rates decrease with further increases in temperature. This consistent decrease in temperature sensitivity at higher temperatures demonstrates that rising global temperatures may result in regionally variable responses in soil respiration, with colder climates being considerably more responsive to increased ambient temperatures compared with warmer regions. Our analysis adds a unique cross-biome perspective on the temperature response of soil respiration, information critical to improving our mechanistic understanding of how soil carbon dynamics change with climatic warming.
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In the cold outer solar system, volcanism can occur on solid bodies with a water-ice shell, but derived cryovolcanic constructs have proved elusive. We report the discovery using Dawn Framing Camera images of a landform on dwarf planet Ceres, which we argue represents a viscous cryovolcanic dome. Parent material of the cryomagma is a mixture of secondary minerals, including salts and water ice. Absolute model ages from impact craters reveal that extrusion of the dome has occurred recently. Ceres’ evolution must have been able to sustain recent interior activity and associated surface expressions. 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Panel regression is used to overcome limitations of traditional regression methods, and obtain reliable model coefficients, in particular to understand the elasticity of streamflow to rainfall. Using annual rainfall and selected basin characteristics at 86 gaged streams in the Hawaiian Islands, regional regression models for three stream classes were developed to estimate the annual low-flow duration discharges. Three panel-regression structures (random effects, fixed effects, and pooled) were compared to traditional regression methods, in which space is substituted for time. Results indicated that panel regression generally was able to reproduce the temporal behavior of streamflow and reduce the standard errors of model coefficients compared to traditional regression, even for models in which the unobserved heterogeneity between streams is significant and the variance inflation factor for rainfall is much greater than 10. This is because both spatial and temporal variability were better characterized in panel regression. In a case study, regional rainfall elasticities estimated from panel regressions were applied to ungaged basins on Maui, using available rainfall projections to estimate plausible changes in surface-water availability and usable stream habitat for native species. The presented panel-regression framework is shown to offer benefits over existing traditional hydrologic regression methods for developing robust regional relations to investigate streamflow response in a changing climate.
","language":"English","publisher":"AGU","doi":"10.1002/2016WR018718","usgsCitation":"Bassiouni, M., Vogel, R.M., and Archfield, S.A., 2016, Panel regressions to estimate low-flow response to rainfall variability in ungaged basins: Water Resources Research, v. 52, no. 12, p. 9470-9494, https://doi.org/10.1002/2016WR018718.","productDescription":"25 p.","startPage":"9470","endPage":"9494","ipdsId":"IP-064919","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":470377,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016wr018718","text":"Publisher Index Page"},{"id":349233,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"52","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-19","publicationStatus":"PW","scienceBaseUri":"5a60fc7de4b06e28e9c23f12","contributors":{"authors":[{"text":"Bassiouni, Maoya 0000-0001-5795-9894 mbassiou@usgs.gov","orcid":"https://orcid.org/0000-0001-5795-9894","contributorId":4639,"corporation":false,"usgs":true,"family":"Bassiouni","given":"Maoya","email":"mbassiou@usgs.gov","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":false,"id":717274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vogel, Richard M.","contributorId":66811,"corporation":false,"usgs":true,"family":"Vogel","given":"Richard","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":717275,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Archfield, Stacey A. 0000-0002-9011-3871 sarch@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-3871","contributorId":1874,"corporation":false,"usgs":true,"family":"Archfield","given":"Stacey","email":"sarch@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":717276,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70178703,"text":"70178703 - 2016 - Baseline reference range for trace metal concentrations in whole blood of wild and managed West Indian Manatees (Trichechus manatus) in Florida and Belize","interactions":[],"lastModifiedDate":"2016-12-06T11:38:32","indexId":"70178703","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":869,"text":"Aquatic Mammals","active":true,"publicationSubtype":{"id":10}},"title":"Baseline reference range for trace metal concentrations in whole blood of wild and managed West Indian Manatees (Trichechus manatus) in Florida and Belize","docAbstract":"The West Indian manatee (Trichechus manatus) is exposed to a number of anthropogenic influences, including metals, as they inhabit shallow waters with close proximity to shore. While maintaining homeostasis of many metals is crucial for health, there is currently no baseline reference range that can be used to make clinical and environmental decisions for this endangered species. In this study, whole blood samples from 151 manatees were collected during health assessments performed in Florida and Belize from 2008 through 2011. Whole blood samples (n = 37) from managed care facilities in Florida and Belize from 2009 through 2011 were also used in this study. The concentrations of 17 metals in whole blood were determined, and the data were used to derive a baseline reference range. Impacts of capture location, age, and sex on whole blood metal concentrations were examined. Location and age were related to copper concentrations as values were significantly higher in habitats near urban areas and in calves. Copper may also be a husbandry concern as concentrations were significantly higher in managed manatees (1.17 ± 0.04 ppm) than wild manatees (0.73 ± 0.02 ppm). Zinc (11.20 ± 0.30 ppm) was of special interest as normal concentrations were two to five times higher than other marine mammal species. Arsenic concentrations were higher in Belize (0.43 ± 0.07 ppm), with Placencia Lagoon having twice the concentration of Belize City and Southern Lagoon. Selenium concentrations were lower (0.18 ± 0.09 ppm) than in other marine mammal species. The lowest selenium concentrations were observed in rehabilitating and managed manatees which may warrant additional monitoring in managed care facilities. The established preliminary baseline reference range can be used by clinicians, biologists, and managers to monitor the health of West Indian manatees.
","language":"English","publisher":"Aquatic Mammals","doi":"10.1578/AM.42.4.2016.440","usgsCitation":"Takeuchi, N.Y., Walsh, M.T., Bonde, R.K., Powell, J., Bass, D.A., Gaspard, J.C., and Barber, D.S., 2016, Baseline reference range for trace metal concentrations in whole blood of wild and managed West Indian Manatees (Trichechus manatus) in Florida and Belize: Aquatic Mammals, v. 42, no. 4, p. 440-453, https://doi.org/10.1578/AM.42.4.2016.440.","productDescription":"14 p.","startPage":"440","endPage":"453","ipdsId":"IP-066887","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":331515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":331467,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1578/AM.42.4.2016.440"}],"volume":"42","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-01","publicationStatus":"PW","scienceBaseUri":"5847dc7ce4b06d80b7af6aad","contributors":{"authors":[{"text":"Takeuchi, Noel Y.","contributorId":177192,"corporation":false,"usgs":false,"family":"Takeuchi","given":"Noel","email":"","middleInitial":"Y.","affiliations":[],"preferred":false,"id":654954,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walsh, Michael T.","contributorId":177177,"corporation":false,"usgs":false,"family":"Walsh","given":"Michael","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":654955,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bonde, Robert K. 0000-0001-9179-4376 rbonde@usgs.gov","orcid":"https://orcid.org/0000-0001-9179-4376","contributorId":2675,"corporation":false,"usgs":true,"family":"Bonde","given":"Robert","email":"rbonde@usgs.gov","middleInitial":"K.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":654956,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Powell, James A.","contributorId":53514,"corporation":false,"usgs":true,"family":"Powell","given":"James A.","affiliations":[],"preferred":false,"id":654957,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bass, Dean A.","contributorId":177193,"corporation":false,"usgs":false,"family":"Bass","given":"Dean","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":654958,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gaspard, Joseph C.","contributorId":177194,"corporation":false,"usgs":false,"family":"Gaspard","given":"Joseph","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":654959,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barber, David S.","contributorId":177195,"corporation":false,"usgs":false,"family":"Barber","given":"David","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":654960,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70178700,"text":"70178700 - 2016 - Modeling the effects of land cover and use on landscape capability for urban ungulate populations","interactions":[],"lastModifiedDate":"2020-08-25T16:33:19.998207","indexId":"70178700","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"11","title":"Modeling the effects of land cover and use on landscape capability for urban ungulate populations","docAbstract":"Expanding ungulate populations are causing concerns for wildlife professionals and residents in many urban areas worldwide. Nowhere is the phenomenon more apparent than in the eastern US, where urban white-tailed deer (Odocoileus virginianus) populations are increasing. Most habitat suitability models for deer have been developed in rural areas and across large (>1000 km2) spatial extents. Only recently have we begun to understand the factors that contribute to space use by deer over much smaller spatial extents. In this study, we explore the concepts, terminology, methodology and state-of-the-science in wildlife abundance modeling as applied to overabundant deer populations across heterogeneous urban landscapes. We used classified, high-resolution digital orthoimagery to extract landscape characteristics in several urban areas of upstate New York. In addition, we assessed deer abundance and distribution in 1-km2 blocks across each study area from either aerial surveys or ground-based distance sampling. We recorded the number of detections in each block and used binomial mixture models to explore important relationships between abundance and key landscape features. Finally, we cross-validated statistical models of abundance and compared covariate relationships across study sites. Study areas were characterized along a gradient of urbanization based on the proportions of impervious surfaces and natural vegetation which, based on the best-supported models, also distinguished blocks potentially occupied by deer. Models performed better at identifying occurrence of deer and worse at predicting abundance in cross-validation comparisons. We attribute poor predictive performance to differences in deer population trajectories over time. The proportion of impervious surfaces often yielded better predictions of abundance and occurrence than did the proportion of natural vegetation, which we attribute to a lack of certain land cover classes during cold and snowy winters. Merits and limitations of our approach to habitat suitability modeling are discussed in detail.","largerWorkType":{"id":4,"text":"Book"},"largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"International Association for Landscape Ecology","publisherLocation":"Urban landscape ecology: Science, policy and practice","usgsCitation":"Underwood, H.B., and Kilheffer, C.R., 2016, Modeling the effects of land cover and use on landscape capability for urban ungulate populations, p. 181-208.","productDescription":"28 p.","startPage":"181","endPage":"208","ipdsId":"IP-061055","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":331585,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":331463,"type":{"id":15,"text":"Index Page"},"url":"https://www.routledge.com/Urban-Landscape-Ecology-Science-policy-and-practice/Francis-Millington-Chadwick/p/book/9781138888517"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5847dc7de4b06d80b7af6aaf","contributors":{"editors":[{"text":"Francis, Robert A.","contributorId":112146,"corporation":false,"usgs":true,"family":"Francis","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":655011,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Millington, James D. A.","contributorId":169900,"corporation":false,"usgs":false,"family":"Millington","given":"James","email":"","middleInitial":"D. A.","affiliations":[{"id":25615,"text":"Department of Geography, King's College London","active":true,"usgs":false}],"preferred":false,"id":655012,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Chadwick, Michael A.","contributorId":177208,"corporation":false,"usgs":false,"family":"Chadwick","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":655013,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Underwood, H. Brian 0000-0002-2064-9128 hbunderw@usgs.gov","orcid":"https://orcid.org/0000-0002-2064-9128","contributorId":140185,"corporation":false,"usgs":true,"family":"Underwood","given":"H.","email":"hbunderw@usgs.gov","middleInitial":"Brian","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":654863,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kilheffer, Chellby R.","contributorId":177173,"corporation":false,"usgs":false,"family":"Kilheffer","given":"Chellby","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":654864,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70179636,"text":"70179636 - 2016 - mizuRoute version 1: A river network routing tool for a continental domain water resources applications","interactions":[],"lastModifiedDate":"2017-01-09T11:33:05","indexId":"70179636","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1818,"text":"Geoscientific Model Development","active":true,"publicationSubtype":{"id":10}},"title":"mizuRoute version 1: A river network routing tool for a continental domain water resources applications","docAbstract":"This paper describes the first version of a stand-alone runoff routing tool, mizuRoute. The mizuRoute tool post-processes runoff outputs from any distributed hydrologic model or land surface model to produce spatially distributed streamflow at various spatial scales from headwater basins to continental-wide river systems. The tool can utilize both traditional grid-based river network and vector-based river network data. Both types of river network include river segment lines and the associated drainage basin polygons, but the vector-based river network can represent finer-scale river lines than the grid-based network. Streamflow estimates at any desired location in the river network can be easily extracted from the output of mizuRoute. The routing process is simulated as two separate steps. First, hillslope routing is performed with a gamma-distribution-based unit-hydrograph to transport runoff from a hillslope to a catchment outlet. The second step is river channel routing, which is performed with one of two routing scheme options: (1) a kinematic wave tracking (KWT) routing procedure; and (2) an impulse response function – unit-hydrograph (IRF-UH) routing procedure. The mizuRoute tool also includes scripts (python, NetCDF operators) to pre-process spatial river network data. This paper demonstrates mizuRoute's capabilities to produce spatially distributed streamflow simulations based on river networks from the United States Geological Survey (USGS) Geospatial Fabric (GF) data set in which over 54 000 river segments and their contributing areas are mapped across the contiguous United States (CONUS). A brief analysis of model parameter sensitivity is also provided. The mizuRoute tool can assist model-based water resources assessments including studies of the impacts of climate change on streamflow.
","language":"English","publisher":"European Geosciences Union","doi":"10.5194/gmd-9-2223-2016","usgsCitation":"Mizukami, N., Clark, M.P., Sampson, K., Nijssen, B., Mao, Y., McMillan, H., Viger, R.J., Markstrom, S.L., Hay, L.E., Woods, R., Arnold, J.R., and Brekke, L.D., 2016, mizuRoute version 1: A river network routing tool for a continental domain water resources applications: Geoscientific Model Development, v. 9, p. 2223-2238, https://doi.org/10.5194/gmd-9-2223-2016.","productDescription":"16 p.","startPage":"2223","endPage":"2238","ipdsId":"IP-075055","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":470378,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/gmd-9-2223-2016","text":"Publisher Index Page"},{"id":332987,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-23","publicationStatus":"PW","scienceBaseUri":"5874b0ade4b0a829a320bb67","contributors":{"authors":[{"text":"Mizukami, Naoki","contributorId":178120,"corporation":false,"usgs":false,"family":"Mizukami","given":"Naoki","email":"","affiliations":[],"preferred":false,"id":657982,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Martyn P.","contributorId":178121,"corporation":false,"usgs":false,"family":"Clark","given":"Martyn","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":657983,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sampson, Kevin","contributorId":178122,"corporation":false,"usgs":false,"family":"Sampson","given":"Kevin","email":"","affiliations":[],"preferred":false,"id":657984,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nijssen, Bart","contributorId":178123,"corporation":false,"usgs":false,"family":"Nijssen","given":"Bart","email":"","affiliations":[],"preferred":false,"id":657985,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mao, Yixin","contributorId":139783,"corporation":false,"usgs":false,"family":"Mao","given":"Yixin","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":657986,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McMillan, Hilary","contributorId":176321,"corporation":false,"usgs":false,"family":"McMillan","given":"Hilary","email":"","affiliations":[],"preferred":false,"id":657987,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Viger, Roland J. 0000-0003-2520-714X rviger@usgs.gov","orcid":"https://orcid.org/0000-0003-2520-714X","contributorId":168799,"corporation":false,"usgs":true,"family":"Viger","given":"Roland","email":"rviger@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":657988,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Markstrom, Steven L. 0000-0001-7630-9547 markstro@usgs.gov","orcid":"https://orcid.org/0000-0001-7630-9547","contributorId":146553,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steven","email":"markstro@usgs.gov","middleInitial":"L.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":657989,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":657981,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Woods, Ross","contributorId":178124,"corporation":false,"usgs":false,"family":"Woods","given":"Ross","affiliations":[],"preferred":false,"id":657990,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Arnold, Jeffrey R.","contributorId":178125,"corporation":false,"usgs":false,"family":"Arnold","given":"Jeffrey","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":657991,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Brekke, Levi D.","contributorId":178126,"corporation":false,"usgs":false,"family":"Brekke","given":"Levi","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":657992,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70178626,"text":"70178626 - 2016 - Use of structured decision-making to explicitly incorporate environmental process understanding in management of coastal restoration projects: Case study on barrier islands of the northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2017-04-27T10:16:08","indexId":"70178626","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Use of structured decision-making to explicitly incorporate environmental process understanding in management of coastal restoration projects: Case study on barrier islands of the northern Gulf of Mexico","docAbstract":"Coastal ecosystem management typically relies on subjective interpretation of scientific understanding, with limited methods for explicitly incorporating process knowledge into decisions that must meet multiple, potentially competing stakeholder objectives. Conversely, the scientific community lacks methods for identifying which advancements in system understanding would have the highest value to decision-makers. A case in point is barrier island restoration, where decision-makers lack tools to objectively use system understanding to determine how to optimally use limited contingency funds when project construction in this dynamic environment does not proceed as expected. In this study, collaborative structured decision-making (SDM) was evaluated as an approach to incorporate process understanding into mid-construction decisions and to identify priority gaps in knowledge from a management perspective. The focus was a barrier island restoration project at Ship Island, Mississippi, where sand will be used to close an extensive breach that currently divides the island. SDM was used to estimate damage that may occur during construction, and guide repair decisions within the confines of limited availability of sand and funding to minimize adverse impacts to project objectives. Sand was identified as more limiting than funds, and unrepaired major breaching would negatively impact objectives. Repairing minor damage immediately was determined to be generally more cost effective (depending on the longshore extent) than risking more damage to a weakened project. Key gaps in process-understanding relative to project management were identified as the relationship of island width to breach formation; the amounts of sand lost during breaching, lowering, or narrowing of the berm; the potential for minor breaches to self-heal versus developing into a major breach; and the relationship between upstream nourishment and resiliency of the berm to storms. This application is a prototype for using structured decision-making in support of engineering projects in dynamic environments where mid-construction decisions may arise; highlights uncertainty about barrier island physical processes that limit the ability to make robust decisions; and demonstrates the potential for direct incorporation of process-based models in a formal adaptive management decision framework.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2016.08.078","usgsCitation":"Dalyander, P.S., Meyers, M.B., Mattsson, B., Steyer, G., Godsey, E., McDonald, J., Byrnes, M.R., and Ford, M., 2016, Use of structured decision-making to explicitly incorporate environmental process understanding in management of coastal restoration projects: Case study on barrier islands of the northern Gulf of Mexico: Journal of Environmental Management, v. 183, no. 3, p. 497-509, https://doi.org/10.1016/j.jenvman.2016.08.078.","productDescription":"13 p.","startPage":"497","endPage":"509","ipdsId":"IP-068842","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470460,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2016.08.078","text":"Publisher Index Page"},{"id":331388,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","otherGeospatial":"East Ship Island, West Ship Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.000244140625,\n 30.18994745521063\n ],\n [\n -89.000244140625,\n 30.267370168467806\n ],\n [\n -88.85639190673828,\n 30.267370168467806\n ],\n [\n -88.85639190673828,\n 30.18994745521063\n ],\n [\n -89.000244140625,\n 30.18994745521063\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"183","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"584144dce4b04fc80e507373","contributors":{"authors":[{"text":"Dalyander, P. Soupy 0000-0001-9583-0872 sdalyander@usgs.gov","orcid":"https://orcid.org/0000-0001-9583-0872","contributorId":141015,"corporation":false,"usgs":true,"family":"Dalyander","given":"P.","email":"sdalyander@usgs.gov","middleInitial":"Soupy","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":654607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyers, Michelle B. 0000-0002-5937-1012 mmeyers@usgs.gov","orcid":"https://orcid.org/0000-0002-5937-1012","contributorId":5608,"corporation":false,"usgs":true,"family":"Meyers","given":"Michelle","email":"mmeyers@usgs.gov","middleInitial":"B.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":654608,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mattsson, Brady","contributorId":59692,"corporation":false,"usgs":true,"family":"Mattsson","given":"Brady","affiliations":[],"preferred":false,"id":654609,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steyer, Gregory 0000-0001-7231-0110","orcid":"https://orcid.org/0000-0001-7231-0110","contributorId":27797,"corporation":false,"usgs":true,"family":"Steyer","given":"Gregory","affiliations":[],"preferred":false,"id":654610,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Godsey, Elizabeth","contributorId":177095,"corporation":false,"usgs":false,"family":"Godsey","given":"Elizabeth","affiliations":[],"preferred":false,"id":654611,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McDonald, Justin","contributorId":171407,"corporation":false,"usgs":false,"family":"McDonald","given":"Justin","email":"","affiliations":[{"id":26898,"text":"University of Auckland, New Zealand","active":true,"usgs":false}],"preferred":false,"id":654612,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Byrnes, Mark R.","contributorId":102504,"corporation":false,"usgs":true,"family":"Byrnes","given":"Mark","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":654613,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ford, Mark","contributorId":177097,"corporation":false,"usgs":false,"family":"Ford","given":"Mark","email":"","affiliations":[],"preferred":false,"id":654614,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ]}