Rigorous monitoring and evaluation of wildlife population performance because of management or disturbance often relies upon the handling and marking of animals. Such studies must assume that marking animals does not affect their behavior or demography. We examined survival of greater sage-grouse Centrocercus urophasianus post wildfire in southeastern Oregon, USA. We observed extremely high mortality rates early in the study and questioned if our global positioning systems (GPS) transmitters were negatively affecting survival of adult greater sage-grouse. Thus, in situ we captured and randomly assigned additional grouse to either a GPS or VHF transmitter and examine patterns of mortality and estimated survival to evaluate if there were in fact transmitter effects on this important vital rate. Our results indicated that regardless of instrument type large wildfire had negative effects on monthly survival the first year after the fire. However, point estimates indicated that greater sage-grouse fitted with GPS transmitters had approximately 5% lower annual survival than VHF tagged birds, but although there was relatively large overlap in confidence limits, likely caused by small sample sizes. Further research is needed to disentangle potential confounding effects of GPS transmitters on survival impacts of grouse in association with large disturbance.
","language":"English","publisher":"Nordic Board for Wildlife Research","doi":"10.2981/wlb.00479","usgsCitation":"Foster, L.J., Dugger, K., Hagen, C.A., and Budeau, D.A., 2018, Potential effects of GPS transmitters on greater sage-grouse survival in a post-fire landscape: Wildlife Biology, v. 2018, no. 1, wlb.00479, 6 p., https://doi.org/10.2981/wlb.00479.","productDescription":"wlb.00479, 6 p.","ipdsId":"IP-100211","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":468205,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2981/wlb.00479","text":"Publisher Index Page"},{"id":387817,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Trout Creek Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.52188110351562,\n 41.99726342796974\n ],\n [\n -117.90390014648436,\n 41.99726342796974\n ],\n [\n -117.90390014648436,\n 42.381879610913195\n ],\n [\n -118.52188110351562,\n 42.381879610913195\n ],\n [\n -118.52188110351562,\n 41.99726342796974\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2018","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-12-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Foster, Lee J.","contributorId":201654,"corporation":false,"usgs":false,"family":"Foster","given":"Lee","email":"","middleInitial":"J.","affiliations":[{"id":36223,"text":"Oregon Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":820809,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":820808,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hagen, Christian A.","contributorId":107574,"corporation":false,"usgs":true,"family":"Hagen","given":"Christian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":820810,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Budeau, David A.","contributorId":44840,"corporation":false,"usgs":true,"family":"Budeau","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":820811,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70217043,"text":"70217043 - 2018 - Twenty-nine years of population dynamics in a small-bodied montane amphibian","interactions":[],"lastModifiedDate":"2020-12-29T13:39:05.613643","indexId":"70217043","displayToPublicDate":"2018-12-04T07:36:11","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Twenty-nine years of population dynamics in a small-bodied montane amphibian","docAbstract":"Identifying population declines before they reach crisis proportions is imperative given the current global decline in vertebrate fauna and associated challenges and expense of recovery. Understanding life histories and how the environment influences demography are critical aspects of this challenge, as is determining the biological relevance of covariates that are best supported by the data. We used 29 yr of data on chorus frogs at two sites to estimate demographic parameters, examine life history, assess weather‐related covariates, and determine the magnitude of process variation in target parameters. Average estimates of survival probabilities were 0.51 (Standard Error [SE] = 0.04) and 0.43 (SE = 0.04), and average estimates of recruitment probabilities were 0.64 (SE = 0.07) and 0.44 (SE = 0.04). Process variation accounted for ≥76% of the total temporal variation in both parameters at one pond and in survival probability alone at the other, suggesting that the covariates in our top models were explaining predominantly process rather than sampling variation. Estimates of population growth rates indicated a declining population at one pond (i.e., negative population growth rates in 15 of 18 yr), and comparisons with historical estimates suggested declines in survival probability at the other. The amount of deviance explained was low, providing little support for the influence of covariates on target parameters, despite model selection support. Synthesis and applications: This analysis illustrates the value of disentangling components of variance when assessing demographic drivers and highlights the need for adequate demographic information in assigning conservation labels.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2522","usgsCitation":"Muths, E., Scherer, R., Amburgey, S.M., and Corn, P., 2018, Twenty-nine years of population dynamics in a small-bodied montane amphibian: Ecosphere, v. 9, no. 12, e02522, 15 p., https://doi.org/10.1002/ecs2.2522.","productDescription":"e02522, 15 p.","ipdsId":"IP-073404","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":468206,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2522","text":"Publisher Index Page"},{"id":437659,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BZAPLB","text":"USGS data release","linkHelpText":"Demographic data from two chorus frog populations in Colorado"},{"id":381718,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"12","noUsgsAuthors":false,"publicationDate":"2018-12-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Muths, Erin L. 0000-0002-5498-3132","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":245923,"corporation":false,"usgs":true,"family":"Muths","given":"Erin L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":807332,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scherer, R D","contributorId":245924,"corporation":false,"usgs":false,"family":"Scherer","given":"R D","affiliations":[{"id":13470,"text":"Conservation Science Partners","active":true,"usgs":false}],"preferred":false,"id":807333,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amburgey, S M 0000-0002-7100-7811","orcid":"https://orcid.org/0000-0002-7100-7811","contributorId":245926,"corporation":false,"usgs":false,"family":"Amburgey","given":"S","email":"","middleInitial":"M","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":807334,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Corn, PS","contributorId":245928,"corporation":false,"usgs":false,"family":"Corn","given":"PS","email":"","affiliations":[{"id":49365,"text":"Aldo Leopold Wilderness Research","active":true,"usgs":false}],"preferred":false,"id":807335,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70201153,"text":"70201153 - 2018 - North Atlantic midlatitude surface-circulation changes through the Plio-Pleistocene intensification of northern hemisphere glaciation","interactions":[],"lastModifiedDate":"2019-01-28T08:40:19","indexId":"70201153","displayToPublicDate":"2018-12-03T15:51:57","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5790,"text":"Paleoceanography and Paleoclimatology","active":true,"publicationSubtype":{"id":10}},"title":"North Atlantic midlatitude surface-circulation changes through the Plio-Pleistocene intensification of northern hemisphere glaciation","docAbstract":"The North Atlantic Current (NAC) transports warm salty water to high northern latitudes, with important repercussions for ocean circulation and global climate. A southward displacement of the NAC and Subarctic Front, which separate subpolar and subtropical water masses, is widely suggested for the Last Glacial Maximum (LGM) and may have acted as a positive feedback in glacial expansion at this time. However, the role of the NAC during the intensification of Northern Hemisphere glaciation (iNHG) at ~3.5 to 2.5 Ma is less clear. Here we present new records from Integrated Ocean Drilling Program Site U1313 (41°N) spanning ~2.8–2.4 Ma to trace the influence of Subarctic Front waters above this mid‐latitude site. We reconstruct surface and permanent pycnocline temperatures and seawater δ18O using paired Mg/Ca‐δ18O measurements on the planktic foraminifers Globigerinoides ruber and Globorotalia crassaformis and determine abundances of the subpolar foraminifer Neogloboquadrina atlantica. We find that the first significant glacial incursions of Subarctic Front surface waters above Site U1313 did not occur until ~2.6 Ma. At no time during our study interval was (sub)surface reorganization in the midlatitude North Atlantic analogous to the LGM. Our findings suggest that LGM‐like processes sensu stricto cannot be invoked to explain interglacial‐glacial cycle amplification during iNHG. They also imply that increased glacial productivity at Site U1313 during iNHG was not only driven by southward deflections of the Subarctic Front. We suggest that nutrient injection from cold‐core eddies and enhanced glacial dust delivery may have played additional roles in increasing export productivity in the midlatitude North Atlantic from 2.7 Ma.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018PA003412","usgsCitation":"Bolton, C.T., Bailey, I., Friedrich, O., Tachikawa, K., de Garidel-Thoron, T., Vidal, L., Sonzogni, C., Marino, G., Rohling, E.J., Robinson, M.M., Ermini, M., Koch, M., Cooper, M.J., and Wilson, P.A., 2018, North Atlantic midlatitude surface-circulation changes through the Plio-Pleistocene intensification of northern hemisphere glaciation: Paleoceanography and Paleoclimatology, v. 33, no. 11, p. 1186-1205, https://doi.org/10.1029/2018PA003412.","productDescription":"20 p.","startPage":"1186","endPage":"1205","ipdsId":"IP-097975","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":460797,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018pa003412","text":"Publisher Index Page"},{"id":437661,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OFDVZ6","text":"USGS data release","linkHelpText":"Planktic foraminifer census data for ODP Sites 907, 909 and 911"},{"id":359881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"11","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-09","publicationStatus":"PW","scienceBaseUri":"5c064edfe4b0815414cecb02","contributors":{"authors":[{"text":"Bolton, Clara T.","contributorId":191676,"corporation":false,"usgs":false,"family":"Bolton","given":"Clara","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":752961,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bailey, Ian","contributorId":210997,"corporation":false,"usgs":false,"family":"Bailey","given":"Ian","email":"","affiliations":[{"id":35448,"text":"University of Exeter, UK","active":true,"usgs":false}],"preferred":false,"id":752962,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Friedrich, Oliver","contributorId":210998,"corporation":false,"usgs":false,"family":"Friedrich","given":"Oliver","email":"","affiliations":[{"id":38165,"text":"Heidelberg University, Germany","active":true,"usgs":false}],"preferred":false,"id":752963,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tachikawa, Kazuyo","contributorId":210999,"corporation":false,"usgs":false,"family":"Tachikawa","given":"Kazuyo","email":"","affiliations":[{"id":38166,"text":"CEREGE, France","active":true,"usgs":false}],"preferred":false,"id":752964,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"de Garidel-Thoron, Thibault","contributorId":211000,"corporation":false,"usgs":false,"family":"de Garidel-Thoron","given":"Thibault","email":"","affiliations":[{"id":38166,"text":"CEREGE, France","active":true,"usgs":false}],"preferred":false,"id":752965,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vidal, Laurence","contributorId":211001,"corporation":false,"usgs":false,"family":"Vidal","given":"Laurence","email":"","affiliations":[{"id":38166,"text":"CEREGE, France","active":true,"usgs":false}],"preferred":false,"id":752966,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sonzogni, Corinne","contributorId":211002,"corporation":false,"usgs":false,"family":"Sonzogni","given":"Corinne","email":"","affiliations":[{"id":38166,"text":"CEREGE, France","active":true,"usgs":false}],"preferred":false,"id":752967,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Marino, Gianluca","contributorId":211003,"corporation":false,"usgs":false,"family":"Marino","given":"Gianluca","email":"","affiliations":[{"id":38167,"text":"The Australian National University, Australia","active":true,"usgs":false}],"preferred":false,"id":752968,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rohling, Eelco J.","contributorId":211004,"corporation":false,"usgs":false,"family":"Rohling","given":"Eelco","email":"","middleInitial":"J.","affiliations":[{"id":38167,"text":"The Australian National University, Australia","active":true,"usgs":false}],"preferred":false,"id":752969,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Robinson, Marci M. 0000-0002-9200-4097 mmrobinson@usgs.gov","orcid":"https://orcid.org/0000-0002-9200-4097","contributorId":2082,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci","email":"mmrobinson@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":752960,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ermini, Magali","contributorId":211005,"corporation":false,"usgs":false,"family":"Ermini","given":"Magali","email":"","affiliations":[{"id":38166,"text":"CEREGE, France","active":true,"usgs":false}],"preferred":false,"id":752970,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Koch, Mirjam","contributorId":211006,"corporation":false,"usgs":false,"family":"Koch","given":"Mirjam","email":"","affiliations":[{"id":38168,"text":"Goethe-Universitat Frankfurt, Germany","active":true,"usgs":false}],"preferred":false,"id":752971,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Cooper, Matthew J.","contributorId":211007,"corporation":false,"usgs":false,"family":"Cooper","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":38169,"text":"University of Southamton, UK","active":true,"usgs":false}],"preferred":false,"id":752972,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wilson, Paul A.","contributorId":211008,"corporation":false,"usgs":false,"family":"Wilson","given":"Paul","email":"","middleInitial":"A.","affiliations":[{"id":38169,"text":"University of Southamton, UK","active":true,"usgs":false}],"preferred":false,"id":752973,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70198996,"text":"sim3413 - 2018 - Geologic map of the central Beaverhead Mountains, Lemhi County, Idaho, and Beaverhead County, Montana","interactions":[],"lastModifiedDate":"2022-04-19T20:03:20.997761","indexId":"sim3413","displayToPublicDate":"2018-12-03T13:45:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3413","title":"Geologic map of the central Beaverhead Mountains, Lemhi County, Idaho, and Beaverhead County, Montana","docAbstract":"This geologic map of the central Beaverhead Mountains portrays a complex geologic history of depositional basin development interspersed with deformational events. Generalized geology for young basins, compiled from sources on both sides of the range, is combined with newly mapped bedrock geology to better integrate geologic development of the map area.
Successive extensional basins were obliquely oriented across deformed strata of each preceding basin and of the Paleoproterozoic basement. Strata deposited in these basins include (1) thick fine-grained arkosic strata of the Mesoproterozoic Lemhi basin deposited on Paleoproterozoic basement with shoreline exposed on the east side of the map, (2) siliciclastic and carbonate strata of the Late Neoproterozoic-early Paleozoic miogeocline that were deposited in deeper environments to the west and interfingered with cratonal basin deposits to the east, and (3) generally coarse deposits in several nested, fault-bounded Eocene to Holocene basins.
Syndepositional structural disruption including tilting and angular unconformities is present within strata and between stratigraphic packages formed during the different basin-filling events. Cretaceous, east-northeast-directed thrust faults inverted Mesoproterozoic and Neoproterozoic-Paleozoic basins and stacked strata from diverse stratigraphic packages and different depositional settings. The thrust plates rotated as they impinged on the Paleoproterozoic arch on the east side of the map, resulting in complex fault geometries that present as thrust faults to oblique reverse and tear (or ramp) fault along different fault segments. Cenozoic extension caused successive normal-fault basins of several orientations. Eocene volcanic rocks are preserved in fault-bounded depositional basins formed during the onset of Cenozoic extension. Eocene basins were obliquely overprinted by Oligocene-Miocene normal-fault basins. Holocene basins developed during steep normal faulting that formed the present Basin and Range topography.
This geologic map of the central Beaverhead Mountains is mapped at 1:24,000 scale and printable at 1:50,000 scale. These data were collected between 1997 and 2017 and synthesized to provide significant new stratigraphic and structural data and interpretations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3413","usgsCitation":"Lund, K., 2018, Geologic map of the central Beaverhead Mountains, Lemhi County, Idaho, and Beaverhead County, Montana: U.S. Geological Survey Scientific Investigations Map 3413, pamphlet 27 p., scale 1:50,000, https://doi.org/10.3133/sim3413.","productDescription":"Report: iv, 27 p.; 2 Sheets: 50.0 x 46.0 inches; Read Me; Data Release","onlineOnly":"Y","ipdsId":"IP-087570","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":399121,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_108200.htm"},{"id":359707,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P905PTI4","text":"USGS data release","linkHelpText":"Digital Data for the Geologic Map of the central Beaverhead Mountains, Lemhi County, Idaho, and Beaverhead County, Montana"},{"id":359706,"rank":5,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3413/sim3413_ReadMe.txt","text":"Read Me","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3413 Read Me"},{"id":359722,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3413/sim3413_sheet_georeferenced.pdf","text":"Georeferenced Map","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3413 Georeferenced Map"},{"id":359721,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3413/sim3413_sheet.pdf","text":"Map","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3413 Map"},{"id":359702,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3413/sim3413_pamphlet.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3413 Pamphlet"},{"id":359701,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3413/coverthb2.jpg"}],"scale":"50000","country":"United States","state":"Idaho, Montana","county":"Beaverhead County, Lemhi County","otherGeospatial":"central Beaverhead Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.6575,\n 44.6539\n ],\n [\n -113.1736,\n 44.6539\n ],\n [\n -113.1736,\n 45.0739\n ],\n [\n -113.6575,\n 45.0739\n ],\n [\n -113.6575,\n 44.6539\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Geology, Geophysics, and Geochemistry Science Center
U.S. Geological Survey
Box 25046, MS-973
Denver, CO 80225-0046
As human populations increase, so does their influence over the environment. Altered terrain, degraded water quality, and threatened or endangered species are all-too-common consequences of a growing anthropogenic influence on the landscape. To help manage these effects, researchers have developed new ways to characterize current environmental conditions and help resource managers seek solutions to bring affected areas back to their best attainable health. Before an ecosystem can be improved, however, its current level of ecological stress must be determined. Characterizing environmental conditions at many sites across a landscape helps managers understand the range of current conditions and prioritize where they might focus restoration and protection efforts.
This report details the development of a prioritization framework to score riverine ecosystem stressors in a watershed based on example sites from the Tualatin River Basin in northwestern Oregon. The framework incorporated the most influential site-specific stressors throughout the basin built on a long history of data collection. These stressors were characterized with 13 metrics that were organized into 4 groups: hydrologic, water quality, physical habitat, and biological. Each stressor metric used readily accessible data and was translated to a score between 0 and 10. The higher the score, the healthier the site. This initial application of the framework used field observations and measurements to rank site conditions at two Tualatin River sites and four Tualatin River tributary sites. Given the versatility of this framework, it easily could be expanded to include more sites or new metrics, if necessary. Because stressors varied by season, all metrics for the tributary sites were scored separately during the wet season (November through April) and dry season (May through October). Water-quality data were available over a prolonged period; therefore, water-quality metrics were assessed by season and by decade (1990–99 compared to 2000–12) to evaluate long-term stressor trends.
Results for the Tualatin River Basin prioritization framework indicated that the urban tributaries demonstrated the greatest stress throughout the year, especially during the dry summer months. Spatially, the upper Tualatin River was healthier than the lower reaches of the river. Water-quality has improved in the last 10 years, mostly due to improvements in the dry period contaminant scores, but challenges remain with high water temperatures and low dissolved-oxygen conditions.
The biggest challenge with this type of research derived from inconsistencies within the available data. Both spatial and temporal data gaps must be addressed to improve the prioritization. Incorporating both discrete and continuous datasets into the prioritization framework remains a challenge because the datasets have slightly different information and criteria and are not always comparable. Regardless, this report provides guidelines for developing a prioritization framework that ranks the ecological health of sites in a watershed and provides guidance on management actions for improving conditions by targeting factors that greatly affect the health of river ecosystems.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185153","collaboration":"Prepared in cooperation with Clean Water Services","usgsCitation":"Sobieszczyk, S., Jones, K.L., Rounds, S.A., Nilsen, E.B., and Morace, J.L., 2018, Prioritization framework for ranking riverine ecosystem stressors using example sites from the Tualatin River Basin, Oregon: U.S. Geological Survey Scientific Investigations Report 2018-5153, 40 p., https://doi.org/10.3133/sir20185153.","productDescription":"vii, 40 p.","onlineOnly":"Y","ipdsId":"IP-060830","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":359875,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5153/sir20185153.pdf","text":"Report","size":"3.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5153"},{"id":359874,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5153/coverthb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Tualatin River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.5,\n 45.3\n ],\n [\n -122.5,\n 45.3\n ],\n [\n -122.5,\n 45.75\n ],\n [\n -123.5,\n 45.75\n ],\n [\n -123.5,\n 45.3\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Oregon Water Science Center
U.S. Geological Survey
2130 SW 5th Avenue
Portland, Oregon 97201
In 2017, the Lake Superior fish community was sampled with daytime bottom trawls at 76 nearshore and 36 offshore stations. Spring nearshore and summer offshore water temperatures in 2017 were similar to slightly cooler than the 1991-2017 average. In the nearshore zone, a total of 28,902 individual fish from 27 species or morphotypes were collected. The number of species collected at each station ranged from 0 to 13, with a mean of 5.5 and median of 5. Lakewide nearshore mean biomass was 3.8 kg/ha which was below the long-term average of 8.7 kg/ha and the median lakewide biomass was 1.8 kg/ha. which was similar to the long-term average median value of 1.9 kg/ha. Lake Whitefish, Rainbow Smelt, Bloater, Longnose Sucker, and lean Lake Trout were the species with the highest lakewide average biomass. In the offshore zone, a total of 16,674 individuals from 13 species were collected lakewide. The average and median observed species richness at each station was 3.8 and 4 species, respectively, and ranged from 2 to 6 species. Deepwater Sculpin, Kiyi, and siscowet Lake Trout made up 99% of the total number of individuals and biomass collected in offshore waters. Mean and median lakewide biomass for all species in 2017 was 6.8 kg/ha and 6.6 kg/ha, respectively. This was similar to the long-term mean of 6.9 kg/ha and greater than that observed in 2014-2016. Nearshore average larval Coregonus densities in 2017 were greater than observed in any previous year; whereas offshore larval Coregonus densities were much less than observed in previous years.
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dyule@usgs.gov","orcid":"https://orcid.org/0000-0002-0117-5115","contributorId":139532,"corporation":false,"usgs":true,"family":"Yule","given":"Daniel","email":"dyule@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":765634,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70200001,"text":"sir20185132 - 2018 - Flood-inundation maps for the Salamonie River at Portland, Indiana","interactions":[],"lastModifiedDate":"2018-12-03T14:43:43","indexId":"sir20185132","displayToPublicDate":"2018-12-03T09:55:34","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5132","displayTitle":"Flood-Inundation Maps for the Salamonie River at Portland, Indiana","title":"Flood-inundation maps for the Salamonie River at Portland, Indiana","docAbstract":"Digital flood-inundation maps for a 6.5-mile reach of the Salamonie River at Portland, Indiana, were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Department of Transportation. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science website at https://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage on the Salamonie River at Portland, Ind. (station 03324200). Near-real-time stages at this streamgage may be obtained from the USGS National Water Information System web interface at https://doi.org/10.5066/F7P55KJN or from the National Weather Service Advanced Hydrologic Prediction Service (site PORI3) at https:/water.weather.gov/ahps/.
Flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated using the current (2018) stage-discharge relation at the Salamonie River at Portland, Ind., streamgage.
The hydraulic model then was used to compute nine water-surface profiles for flood stages at 1-foot (ft) intervals referenced to the streamgage datum and ranging from 10.7 ft or near bankfull to 18.7 ft, which equals the highest point on the streamgage rating curve. The simulated water-surface profiles then were combined with a geographic information system digital elevation model derived from light detection and ranging data having a 0.49-ft root mean square error and 4.9-ft horizontal resolution resampled to a 10-ft grid to delineate the area flooded at each stage. The availability of these maps, along with information regarding current stage from the USGS streamgage, will provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for postflood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185132","collaboration":"Prepared in cooperation with the Indiana Department of Transportation","usgsCitation":"Strauch, K.R., 2018, Flood-inundation maps for the Salamonie River at Portland, Indiana: U.S. Geological Survey Scientific Investigations Report 2018–5132, 9 p., https://doi.org/10.3133/sir20185132.","productDescription":"Report: vi, 9 p.; Data Release","numberOfPages":"20","onlineOnly":"Y","ipdsId":"IP-089966","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":359800,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7VM4BJD","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Flood-inundation geospatial datasets for the Salamonie River at Portland, Indiana"},{"id":359798,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5132/coverthb.jpg"},{"id":359799,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5132/sir20185132.pdf","text":"Report","size":"996 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5132"}],"country":"United States","state":"Indiana","city":"Portland","otherGeospatial":"Salamonie River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.0587272644043,\n 40.38813537489036\n ],\n [\n -84.93925094604492,\n 40.38813537489036\n ],\n [\n -84.93925094604492,\n 40.44877593183776\n ],\n [\n -85.0587272644043,\n 40.44877593183776\n ],\n [\n -85.0587272644043,\n 40.38813537489036\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Ohio Kentucky Indiana Water Science Center
U.S. Geological Survey
5957 Lakeside Blvd.
Indianapolis, IN 46278
The outcomes of prairie reconstructions are subject to both unpredictability and complexity. Prairie, tallgrass, and mixed grass reconstruction is defined as the planting of a native herbaceous seed mixture composed of multiple prairie species (10 or more) in an area where the land has been heavily cultivated or anthropogenically disturbed. Because of the unpredictability and complexity inherent in reconstructions, some outcomes end up being failures dominated by exotic species. We propose that these failures follow a fat-tailed distribution as found in other complex systems. Fat-tailed distributions follow the Pareto principle, where 80% of the time reconstructions work as expected but 20% of the time they are surprising and far from the typical response. Therefore, we suggest managers be informed that reconstruction failures follow fat-tailed distributions as opposed to assuming reconstructions are simple and predictable with few failures. Once managers realize failures are inherent in reconstructions, resources can be allocated to more effective methods of dealing with failures rather than working to perfect the predictability of reconstructions. We suggest implementing adaptive management, especially where unpredictability is high, as a way to learn from failures. Combining learning from adaptive management with a reconstruction design process, in which goals and constraints are iteratively adjusted, can be a way to deal with failures and develop better outcomes.
","language":"English","publisher":"University of Wisconsin Press","doi":"10.3368/er.36.4.263","usgsCitation":"Norland, J.E., Dixon, C.S., Larson, D.L., Askerooth, K.L., and Geaumont, B.A., 2018, Prairie reconstruction unpredictability and complexity: What is the rate of reconstruction failures?: Ecological Restoration, v. 36, no. 4, p. 263-266, https://doi.org/10.3368/er.36.4.263.","productDescription":"4 p.","startPage":"263","endPage":"266","ipdsId":"IP-089782","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":362159,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Norland, Jack E.","contributorId":214257,"corporation":false,"usgs":false,"family":"Norland","given":"Jack","email":"","middleInitial":"E.","affiliations":[{"id":39001,"text":"School of Natural Resources Sciences, North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":759482,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dixon, Cami S.","contributorId":208032,"corporation":false,"usgs":false,"family":"Dixon","given":"Cami","email":"","middleInitial":"S.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":759483,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larson, Diane L. 0000-0001-5202-0634 dlarson@usgs.gov","orcid":"https://orcid.org/0000-0001-5202-0634","contributorId":2120,"corporation":false,"usgs":true,"family":"Larson","given":"Diane","email":"dlarson@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":759481,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Askerooth, Kristine L.","contributorId":214258,"corporation":false,"usgs":false,"family":"Askerooth","given":"Kristine","email":"","middleInitial":"L.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":759484,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Geaumont, Benjamin A.","contributorId":214259,"corporation":false,"usgs":false,"family":"Geaumont","given":"Benjamin","email":"","middleInitial":"A.","affiliations":[{"id":39002,"text":"Hettinger Research Extension Center, North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":759485,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70202581,"text":"70202581 - 2018 - Simulating the evolution of fluid underpressures in the Great Plains, by incorporation of tectonic uplift and tilting, with a groundwater flow model","interactions":[],"lastModifiedDate":"2019-03-12T16:23:59","indexId":"70202581","displayToPublicDate":"2018-12-01T16:23:52","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1765,"text":"Geofluids","active":true,"publicationSubtype":{"id":10}},"title":"Simulating the evolution of fluid underpressures in the Great Plains, by incorporation of tectonic uplift and tilting, with a groundwater flow model","docAbstract":"Underpressures (subhydrostatic heads) in the Paleozoic units underlying the Great Plains of North America are a consequence of Cenozoic uplift of the area. Based on tectonostratigraphic data, we have developed a cumulative uplift history with superimposed periods of deposition and erosion for the Great Plains for the period from 40 Ma to the present. Uplift, deposition, and erosion on an 800 km geologic cross-section extending from northeast Colorado to eastern Kansas is represented in nine time-stepped geohydrologic models. Sequential solution of the two-dimensional diffusion equation reveals the evolution of hydraulic head and underpressure in a changing structural environment after 40 Ma, culminating in an approximate match with the measured present-day values. The modeled and measured hydraulic head values indicate that underpressures increase to the west. The 2 to 0 Ma model indicates that the present-day hydraulic head values of the Paleozoic units have not reached steady state. This result is significant because it indicates that present-day hydraulic heads are not at equilibrium, and underpressures will increase in the future. The pattern uncovered by the series of nine MODFLOW models is of increased underpressures with time. Overall, the models indicate that tectonic uplift explains the development of underpressures in the Great Plains.
","language":"English","publisher":"Hindawi","doi":"10.1155/2018/3765743","usgsCitation":"Umari, A.M., Nelson, P.H., and Lecain, G.D., 2018, Simulating the evolution of fluid underpressures in the Great Plains, by incorporation of tectonic uplift and tilting, with a groundwater flow model: Geofluids, v. 2018, p. 1-30, https://doi.org/10.1155/2018/3765743.","productDescription":"Article ID 3765743; 30 p.","startPage":"1","endPage":"30","ipdsId":"IP-080156","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":468208,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1155/2018/3765743","text":"Publisher Index Page"},{"id":437662,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94QFHL9","text":"USGS data release","linkHelpText":"MODFLOW-2005 model used to Simulate the Evolution of Fluid Underpressures in the Great Plains, by Incorporation of Tectonic Uplift and Tilting"},{"id":362015,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2018","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Umari, Amjad M. J. 0000-0001-5678-1959 mjumari@usgs.gov","orcid":"https://orcid.org/0000-0001-5678-1959","contributorId":214124,"corporation":false,"usgs":true,"family":"Umari","given":"Amjad","email":"mjumari@usgs.gov","middleInitial":"M. J.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":759191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, Philip H. pnelson@usgs.gov","contributorId":862,"corporation":false,"usgs":true,"family":"Nelson","given":"Philip","email":"pnelson@usgs.gov","middleInitial":"H.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":759192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lecain, Gary D. 0000-0002-5362-9641 gdlecain@usgs.gov","orcid":"https://orcid.org/0000-0002-5362-9641","contributorId":2785,"corporation":false,"usgs":true,"family":"Lecain","given":"Gary","email":"gdlecain@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":759193,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70201883,"text":"70201883 - 2018 - Resolving the status of the genera Gastrophysus and Geneion in the family Tetraodontidae (Teleostei: Tetraodontiformes)","interactions":[],"lastModifiedDate":"2019-01-31T16:18:48","indexId":"70201883","displayToPublicDate":"2018-12-01T16:18:42","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3814,"text":"Zootaxa","onlineIssn":"1175-5334","printIssn":"1175-5326","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Resolving the status of the genera Gastrophysus and Geneion in the family Tetraodontidae (Teleostei: Tetraodontiformes)","title":"Resolving the status of the genera Gastrophysus and Geneion in the family Tetraodontidae (Teleostei: Tetraodontiformes)","docAbstract":"Maintaining a current list of valid names and taxonomy for biodiversity is an ever-increasing challenge for the Integrated Taxonomic Information System (ITIS 2017). Advances in molecular techniques and the discovery of many cryptic taxa have dramatically increased the number of species and resulted in revised interpretation of phylogenetic relationships. Occasionally it is necessary to resolve discrepancies in nomenclature to reflect current knowledge. Taxa that are harvested for consumption are particularly in need of name stability. In this paper evidence is presented for the use of the puffer genus TakifuguAbe 1949 over Gastrophysus Müller 1843 and Amblyrhynchote Bibron in Duméril 1855 over GeneionBibron in Duméril 1855.
","language":"English","publisher":"Magnolia Press","doi":"10.11646/zootaxa.4532.2.8","usgsCitation":"Jelks, H.L., 2018, Resolving the status of the genera Gastrophysus and Geneion in the family Tetraodontidae (Teleostei: Tetraodontiformes): Zootaxa, v. 4532, no. 2, p. 288-292, https://doi.org/10.11646/zootaxa.4532.2.8.","productDescription":"5 p.","startPage":"288","endPage":"292","ipdsId":"IP-088384","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":360897,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4532","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Jelks, Howard L. 0000-0002-0672-6297 hjelks@usgs.gov","orcid":"https://orcid.org/0000-0002-0672-6297","contributorId":168997,"corporation":false,"usgs":true,"family":"Jelks","given":"Howard","email":"hjelks@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":755765,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70201916,"text":"70201916 - 2018 - Estimating the societal benefits of carbon dioxide sequestration through peatland restoration","interactions":[],"lastModifiedDate":"2019-02-01T17:02:28","indexId":"70201916","displayToPublicDate":"2018-12-01T16:16:30","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1453,"text":"Ecological Economics","active":true,"publicationSubtype":{"id":10}},"title":"Estimating the societal benefits of carbon dioxide sequestration through peatland restoration","docAbstract":"The Great Dismal Swamp National Wildlife Refuge (GDS) is a forested peatland that provides a number of ecosystem services including carbon (C) sequestration. We modeled and analyzed the potential capacity of the GDS to sequester C under four management scenarios: no management, no management with catastrophic fire, current management, and increased management. The analysis uses the Land Use and Carbon Scenario Simulator developed for the GDS to estimate net ecosystem C balance. The model simulates net C gains and losses on an annual time-step from 2013 through 2062 which is converted to carbon dioxide equivalent (CO2-eq) and monetized using the Interagency Working Group's Social Cost of Carbon. Our analysis incorporates compounded uncertainty including variation in ecological processes, temporal and spatial heterogeneity, and uncertainty in the discount rate. The no management scenario results in 2.4 million tons of CO2 emissions with a Net Present Value (NPV) under a 3% discount rate of −\\$67 million. No management with catastrophic fires emits 6.5 million tons of CO2 with an NPV of −\\$232 million. Current management avoids 9.9 million tons of emissions (via sequestration) with an NPV of \\$326 million. Increased management avoids 16.5 million tons of emissions with an NPV of \\$524 million.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolecon.2018.08.002","usgsCitation":"Pindilli, E., Sleeter, R., and Hogan, D.M., 2018, Estimating the societal benefits of carbon dioxide sequestration through peatland restoration: Ecological Economics, v. 154, p. 145-155, https://doi.org/10.1016/j.ecolecon.2018.08.002.","productDescription":"11 p.","startPage":"145","endPage":"155","ipdsId":" IP-092413","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":360936,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Virginia","otherGeospatial":"Great Dismal Swamp National Wildlife Refuge, Dismal Swamp State Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.57264709472656,\n 36.42791246440695\n ],\n [\n -76.33644104003906,\n 36.42791246440695\n ],\n [\n -76.33644104003906,\n 36.77904237558059\n ],\n [\n -76.57264709472656,\n 36.77904237558059\n ],\n [\n -76.57264709472656,\n 36.42791246440695\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"154","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pindilli, Emily 0000-0002-5101-1266 epindilli@usgs.gov","orcid":"https://orcid.org/0000-0002-5101-1266","contributorId":140262,"corporation":false,"usgs":true,"family":"Pindilli","given":"Emily","email":"epindilli@usgs.gov","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":756001,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sleeter, Rachel 0000-0003-3477-0436 rsleeter@usgs.gov","orcid":"https://orcid.org/0000-0003-3477-0436","contributorId":666,"corporation":false,"usgs":true,"family":"Sleeter","given":"Rachel","email":"rsleeter@usgs.gov","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":756002,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hogan, Dianna M. 0000-0003-1492-4514 dhogan@usgs.gov","orcid":"https://orcid.org/0000-0003-1492-4514","contributorId":131137,"corporation":false,"usgs":true,"family":"Hogan","given":"Dianna","email":"dhogan@usgs.gov","middleInitial":"M.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":756003,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70202584,"text":"70202584 - 2018 - Post‐release predation mortality of age‐0 hatchery‐reared Chinook salmon from non‐native smallmouth bass in the Snake River","interactions":[],"lastModifiedDate":"2019-03-12T16:15:23","indexId":"70202584","displayToPublicDate":"2018-12-01T16:15:17","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Post‐release predation mortality of age‐0 hatchery‐reared Chinook salmon from non‐native smallmouth bass in the Snake River","docAbstract":"Release of age‐0 hatchery‐reared fall Chinook salmon, Oncorhynchus tshawytscha(Walbaum), in the Snake River resulted in up to 30‐fold increases in salmon consumption by non‐native smallmouth bass, Micropterus dolomieu Lacepѐde. In an upper river reach, smallmouth bass fed intensively during a release in May, but Chinook salmon consumption returned to pre‐release levels within 1–2 days as hatchery‐reared fish quickly emigrated downstream. The predation response during a June release located farther downstream was dissimilar. Chinook salmon consumption increased to a lesser extent (11‐fold), lasted several days (~4) and no changes in feeding intensity were evident. Estimated numbers of age‐0 hatchery‐reared Chinook salmon lost to short‐term predation varied by year and study reach and ranged from 12,007 (6.03% of those released) to 210,580 (14.6% of those released) fish. Short‐term, intense feeding by smallmouth bass can contribute significantly to mortality of hatchery‐reared fish and should be considered when supplementing populations with hatchery juveniles.
","language":"English","publisher":"Wiley","doi":"10.1111/fme.12322","usgsCitation":"Erhardt, J.M., and Tiffan, K.F., 2018, Post‐release predation mortality of age‐0 hatchery‐reared Chinook salmon from non‐native smallmouth bass in the Snake River: Fisheries Management and Ecology, v. 25, no. 6, p. 474-487, https://doi.org/10.1111/fme.12322.","productDescription":"14 p.","startPage":"474","endPage":"487","ipdsId":"IP-098367","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":362013,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Washington","otherGeospatial":"Snake River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.81188964843751,\n 45.178164812206376\n ],\n [\n -115.96618652343749,\n 45.178164812206376\n ],\n [\n -115.96618652343749,\n 46.76620587423741\n ],\n [\n -117.81188964843751,\n 46.76620587423741\n ],\n [\n -117.81188964843751,\n 45.178164812206376\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"25","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Erhardt, John M. 0000-0002-5170-285X jerhardt@usgs.gov","orcid":"https://orcid.org/0000-0002-5170-285X","contributorId":5380,"corporation":false,"usgs":true,"family":"Erhardt","given":"John","email":"jerhardt@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":759203,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tiffan, Kenneth F. 0000-0002-5831-2846 ktiffan@usgs.gov","orcid":"https://orcid.org/0000-0002-5831-2846","contributorId":3200,"corporation":false,"usgs":true,"family":"Tiffan","given":"Kenneth","email":"ktiffan@usgs.gov","middleInitial":"F.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":759204,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70202023,"text":"70202023 - 2018 - A diverse suite of pharmaceuticals contaminates stream and riparian food webs","interactions":[],"lastModifiedDate":"2019-02-06T16:12:33","indexId":"70202023","displayToPublicDate":"2018-12-01T16:12:27","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"A diverse suite of pharmaceuticals contaminates stream and riparian food webs","docAbstract":"A multitude of biologically active pharmaceuticals contaminate surface waters globally, yet their presence in aquatic food webs remain largely unknown. Here, we show that over 60 pharmaceutical compounds can be detected in aquatic invertebrates and riparian spiders in six streams near Melbourne, Australia. Similar concentrations in aquatic invertebrate larvae and riparian predators suggest direct trophic transfer via emerging adult insects to riparian predators that consume them. As representative vertebrate predators feeding on aquatic invertebrates, platypus and brown trout could consume some drug classes such as antidepressants at as much as one-half of a recommended therapeutic dose for humans based on their estimated prey consumption rates, yet the consequences for fish and wildlife of this chronic exposure are unknown. Overall, this work highlights the potential exposure of aquatic and riparian biota to a diverse array of pharmaceuticals, resulting in exposures to some drugs that are comparable to human dosages.
","language":"English","publisher":"Nature","doi":"10.1038/s41467-018-06822-w","usgsCitation":"Richmond, E.K., Rosi, E.J., Walters, D., Fikk, J., Hamilton, S.K., Brodin, T., Sundelin, A., and Grace, M.R., 2018, A diverse suite of pharmaceuticals contaminates stream and riparian food webs: Nature Communications, v. 9, p. 1-9, https://doi.org/10.1038/s41467-018-06822-w.","productDescription":"Article number 4491; 9 p.","startPage":"1","endPage":"9","ipdsId":"IP-097197","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":468209,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-018-06822-w","text":"Publisher Index Page"},{"id":361064,"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":"2018-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Richmond, Erinn K.","contributorId":212849,"corporation":false,"usgs":false,"family":"Richmond","given":"Erinn","email":"","middleInitial":"K.","affiliations":[{"id":27278,"text":"Monash University","active":true,"usgs":false}],"preferred":false,"id":756737,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosi, Emma J.","contributorId":201758,"corporation":false,"usgs":false,"family":"Rosi","given":"Emma","email":"","middleInitial":"J.","affiliations":[{"id":36248,"text":"Cary Institute of Ecosystem Studies","active":true,"usgs":false}],"preferred":false,"id":756738,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walters, David M. 0000-0002-4237-2158 waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":4444,"corporation":false,"usgs":true,"family":"Walters","given":"David M.","email":"waltersd@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":756736,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fikk, Jerker","contributorId":212850,"corporation":false,"usgs":false,"family":"Fikk","given":"Jerker","email":"","affiliations":[{"id":24847,"text":"Umea University","active":true,"usgs":false}],"preferred":false,"id":756739,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hamilton, Stephen K.","contributorId":143690,"corporation":false,"usgs":false,"family":"Hamilton","given":"Stephen","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":756740,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brodin, Tomas","contributorId":212851,"corporation":false,"usgs":false,"family":"Brodin","given":"Tomas","email":"","affiliations":[{"id":24847,"text":"Umea University","active":true,"usgs":false}],"preferred":false,"id":756741,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sundelin, Anna","contributorId":212852,"corporation":false,"usgs":false,"family":"Sundelin","given":"Anna","email":"","affiliations":[{"id":38691,"text":"Umea Univ.","active":true,"usgs":false}],"preferred":false,"id":756742,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Grace, Michael R.","contributorId":201756,"corporation":false,"usgs":false,"family":"Grace","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":36247,"text":"MONASH U","active":true,"usgs":false}],"preferred":false,"id":756743,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70202586,"text":"70202586 - 2018 - Trace element characterisation of MAD‐559 zircon reference material for ion microprobe analysis","interactions":[],"lastModifiedDate":"2019-03-13T15:44:08","indexId":"70202586","displayToPublicDate":"2018-12-01T15:44:02","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1822,"text":"Geostandards and Geoanalytical Research","active":true,"publicationSubtype":{"id":10}},"title":"Trace element characterisation of MAD‐559 zircon reference material for ion microprobe analysis","docAbstract":"We document the composition of a natural zircon gemstone sourced from Madagascar, MAD‐559 – a new reference material for calibrating trace element mass fractions in zircon measured by SIMS. The composition of MAD‐559 was quantified by calibration relative to the well‐documented zircon reference material 91500, for which we compiled existing published data (Mg, Al, Y, rare earth elements, Hf, U, Th) and performed new measurements to characterise the mass fraction of less commonly measured elements (Li, Be, B, F, Na, P, K, Ca, Sc, Ti, Fe, Nb). Measurement results of SL13, CZ3 and MAD‐1 zircons and NIST SRM glasses were performed as quality control materials to test measurement bias and repeatability. We show the intermediate precision for most trace element measurement results of MAD‐559 to be between ± 3% and ± 5% RSD based on 139 measurements by SIMS on twenty‐five individual polished zircon chips measured during a 24‐h period, as well as repeat measurements performed over five separate analytical sessions. Trace element mass fractions were also measured by LA‐ICP‐MS in two different laboratories, and major element compositions measured by electron microprobe, to compare with results measured by SIMS. Based on laser Raman and hyperspectral cathodoluminescence spectroscopy, we show MAD‐559 to have high crystal disorder due to radiation damage relative to crystalline zircon (e.g., SL13 and 91500 zircon). Although the high cumulative alpha dose of MAD‐559 zircon makes it a poor reference material for geochronology, the consistency of the trace element mass fraction results measured in multiple sessions and by various measurement methods shows that it is an ideal reference material for microanalytical trace element mass fraction quantification of zircon.
","language":"English","publisher":"International Association of Geoanalysts","doi":"10.1111/ggr.12238","usgsCitation":"Coble, M.A., Vazquez, J.A., Barth, A.P., Wooden, J.L., Burns, D., Kylander-Clark, A.R., Jackson, S., and Vennari, C.E., 2018, Trace element characterisation of MAD‐559 zircon reference material for ion microprobe analysis: Geostandards and Geoanalytical Research, v. 42, no. 4, p. 481-497, https://doi.org/10.1111/ggr.12238.","productDescription":"17 p.","startPage":"481","endPage":"497","ipdsId":"IP-098965","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":468210,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ggr.12238","text":"Publisher Index Page"},{"id":362044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Coble, Matthew A.","contributorId":200372,"corporation":false,"usgs":false,"family":"Coble","given":"Matthew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":759208,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vazquez, Jorge A. 0000-0003-2754-0456 jvazquez@usgs.gov","orcid":"https://orcid.org/0000-0003-2754-0456","contributorId":4458,"corporation":false,"usgs":true,"family":"Vazquez","given":"Jorge","email":"jvazquez@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"preferred":true,"id":759207,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barth, Andrew P.","contributorId":214136,"corporation":false,"usgs":false,"family":"Barth","given":"Andrew","email":"","middleInitial":"P.","affiliations":[{"id":38983,"text":"Indiana University - Purdue University","active":true,"usgs":false}],"preferred":false,"id":759209,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wooden, Joseph L.","contributorId":193587,"corporation":false,"usgs":false,"family":"Wooden","given":"Joseph","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":759210,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burns, Dale","contributorId":214137,"corporation":false,"usgs":false,"family":"Burns","given":"Dale","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":759211,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kylander-Clark, Andrew R. C.","contributorId":212897,"corporation":false,"usgs":false,"family":"Kylander-Clark","given":"Andrew","email":"","middleInitial":"R. 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The main map presents the geographic distribution of average annual loss (USD) normalized by the\naverage construction costs of the respective country (USD/m2 due to ground shaking in\nthe residential, commercial and industrial building stock, considering contents, structural and non-structural components. The normalized metric allows a direct comparison of the risk between countries with widely different construction costs. It does not consider the effects of tsunamis, liquefaction, landslides, and fires following earthquakes. The loss estimates are from direct physical damage to buildings due to shaking, and thus damage to infrastructure or indirect losses due to business interruption are not included. The Global Earthquake Hazard Map depicts the geographic distribution of the Peak Ground Acceleration (PGA) with a 10% probability of being exceeded in 50 years, computed for reference rock conditions (shear wave velocity of 760-800 m/s). The Global Exposure Map depicts the geographic distribution of residential, commercial and industrial buildings. The Global Seismic Fatalities Map depicts an estimate of average annual human losses due to earthquake-induced structural collapse of buildings. The results for human losses do not consider indirect fatalities such as those from post earthquake epidemics. The average annual losses and number of buildings are presented on a hexagonal grid, with a spacing of 0.30 x 0.34 decimal degrees (approximately 1,000 km2 at the equator). The average annual losses were computed using the event-based calculator of the OpenQuake engine, an open-source software for seismic hazard and risk analysis developed by the GEM Foundation. The seismic hazard, exposure and vulnerability models employed in these calculations were provided by national institutions, or developed within the scope of regional programs or bilateral collaborations. These global maps and the underlying databases are based on best available and publicly accessible datasets and models. Due to possible limitations in the model, regions portrayed with low risk may experience potentially damaging earthquakes. The GEM Risk Map is intended to be a dynamic product, which will be updated when new datasets and models become available. Updated versions of the hazard, exposure, and average annual losses will be released on a regular basis. Additional metrics for each country can be explored at globalquakemodel.org/gem.","language":"English","publisher":"Global Earthquake Model Foundation","doi":"10.13117/GEM-GLOBAL-SEISMIC-RISK-MAP-2018","usgsCitation":"Silva, V., Amo-Oduro, D., Calderon, A., Dabbeek, J., Despotaki, V., Martins, L., Rao, A., Simionato, M., Vigano, D., Yepes, C., Acevedo, A., Crowley, H., Horspool, N., Jaiswal, K.S., Journeay, M., and Pittore, M., 2018, Global Earthquake Model (GEM) Risk Map, https://doi.org/10.13117/GEM-GLOBAL-SEISMIC-RISK-MAP-2018.","ipdsId":"IP-103543","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":360265,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c137dd3e4b006c4f8514887","contributors":{"authors":[{"text":"Silva, 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Foundation Pavia Italy","active":true,"usgs":false}],"preferred":false,"id":753961,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Simionato, M.","contributorId":211400,"corporation":false,"usgs":false,"family":"Simionato","given":"M.","affiliations":[{"id":38243,"text":"GEM Foundation Pavia Italy","active":true,"usgs":false}],"preferred":false,"id":753962,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Vigano, D.","contributorId":211401,"corporation":false,"usgs":false,"family":"Vigano","given":"D.","affiliations":[{"id":38243,"text":"GEM Foundation Pavia Italy","active":true,"usgs":false}],"preferred":false,"id":753963,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Yepes, C.","contributorId":211402,"corporation":false,"usgs":false,"family":"Yepes","given":"C.","email":"","affiliations":[{"id":38243,"text":"GEM Foundation Pavia Italy","active":true,"usgs":false}],"preferred":false,"id":753964,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Acevedo, A.","contributorId":211403,"corporation":false,"usgs":false,"family":"Acevedo","given":"A.","email":"","affiliations":[{"id":38244,"text":"Department of Civil Engineering, Universidad EAFIT, Medellin, Colombia","active":true,"usgs":false}],"preferred":false,"id":753965,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Crowley, H.","contributorId":211404,"corporation":false,"usgs":false,"family":"Crowley","given":"H.","email":"","affiliations":[{"id":38245,"text":"EUCENTRE Pavia Italy","active":true,"usgs":false}],"preferred":false,"id":753966,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Horspool, 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M.","contributorId":211406,"corporation":false,"usgs":false,"family":"Pittore","given":"M.","affiliations":[{"id":38247,"text":"GFZ Potsdam Germany","active":true,"usgs":false}],"preferred":false,"id":753969,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70202749,"text":"70202749 - 2018 - Consequences of abrading bed load on vertical and lateral bedrock erosion in a curved experimental channel","interactions":[],"lastModifiedDate":"2019-03-25T09:27:04","indexId":"70202749","displayToPublicDate":"2018-12-01T15:35:59","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Consequences of abrading bed load on vertical and lateral bedrock erosion in a curved experimental channel","docAbstract":"In this study, we conducted multiple physical experiments to estimate the efficacy and spatial pattern of erosion by abrading sediment moving through a simple U‐shaped channel bend with erodible bed and banks. The experiments showed that in the bend, lateral abrasion followed a monotonically increasing linear relationship with sediment feed rate. However, vertical incision had a more complex relation with the sediment feed rate, with an initial increase in abrasion as the feed rate increased followed by a decrease in abrasion of the bed as cover effects became dominant at higher feed rates. Bank erosion was large in places where the width and the lateral slope of the point bar were relatively large. On the other hand, in places where the width of the point bar was smaller, the bedrock bed was eroded primarily along the boundary of the point bar, resulting in a bedrock bench near the outer bank.
","language":"English","publisher":"AGU","doi":"10.1029/2017JF004387","usgsCitation":"Mishra, J., Inoue, T., Shimizu, Y., Sumner, T., and Nelson, J.M., 2018, Consequences of abrading bed load on vertical and lateral bedrock erosion in a curved experimental channel: Journal of Geophysical Research F: Earth Surface, v. 123, no. 12, p. 3147-3161, https://doi.org/10.1029/2017JF004387.","productDescription":"15 p.","startPage":"3147","endPage":"3161","ipdsId":"IP-102147","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":468211,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2017jf004387","text":"Publisher Index Page"},{"id":362290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Japan","otherGeospatial":"Shimanto River","volume":"123","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Mishra, Jagriti","contributorId":214403,"corporation":false,"usgs":false,"family":"Mishra","given":"Jagriti","email":"","affiliations":[{"id":39031,"text":"CERI","active":true,"usgs":false}],"preferred":false,"id":759792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Inoue, Takuya","contributorId":173794,"corporation":false,"usgs":false,"family":"Inoue","given":"Takuya","email":"","affiliations":[{"id":27295,"text":"Civil Engineering Research Institute, Sapporo, Japan","active":true,"usgs":false}],"preferred":false,"id":759793,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shimizu, Yasuyuki","contributorId":173790,"corporation":false,"usgs":false,"family":"Shimizu","given":"Yasuyuki","email":"","affiliations":[{"id":17805,"text":"Hokkaido University, Sapporo, Japan","active":true,"usgs":false}],"preferred":false,"id":759794,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sumner, Tamaki","contributorId":214404,"corporation":false,"usgs":false,"family":"Sumner","given":"Tamaki","email":"","affiliations":[{"id":39032,"text":"Suiko Research","active":true,"usgs":false}],"preferred":false,"id":759795,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nelson, Jonathan M. 0000-0002-7632-8526 jmn@usgs.gov","orcid":"https://orcid.org/0000-0002-7632-8526","contributorId":2812,"corporation":false,"usgs":true,"family":"Nelson","given":"Jonathan","email":"jmn@usgs.gov","middleInitial":"M.","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":759791,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70202399,"text":"70202399 - 2018 - Prevalence and risk factors of Trichomonas gallinae and trichomonosis in golden eagle (Aquila chrysaetos) nestlings in western North America","interactions":[],"lastModifiedDate":"2019-02-27T15:35:57","indexId":"70202399","displayToPublicDate":"2018-12-01T15:35:51","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Prevalence and risk factors of Trichomonas gallinae and trichomonosis in golden eagle (Aquila chrysaetos) nestlings in western North America","title":"Prevalence and risk factors of Trichomonas gallinae and trichomonosis in golden eagle (Aquila chrysaetos) nestlings in western North America","docAbstract":"Avian trichomonosis, caused by the protozoan Trichomonas gallinae, affects bird-eating raptors worldwide. Raptors can develop trichomonosis by feeding on infected prey, particularly Rock Pigeons (Columba livia), which are a reservoir for T. gallinae. Raptors may be particularly vulnerable to T. gallinae infection in degraded habitats, where changes in resources may cause raptors to switch from foraging on native prey to synanthropic avian species such as Rock Pigeons. Golden Eagles (Aquila chrysaetos) typically forage on mammals; however, habitat across much of their range is experiencing degradation through changes in land use, climate, and human encroachment. In 2015, we examined the prevalence of T. gallinae infection in Golden Eagle nestlings across western North America and conducted an intensive study on factors associated with T. gallinae infection and trichomonosis in southwestern Idaho. We found T. gallinaeinfection in 13% (12/96) of eagle nestlings across 10 western states and in 41% (13/32) of nestlings in southwestern Idaho. At the Idaho site, the probability of T. gallinae infection increased as the proportion of Rock Pigeons in nestling diet increased. Nestlings with diets that consisted of ≥10% Rock Pigeons had a very high probability of T. gallinae infection. We compared historical (1971–81) and recent (2014–15) diet data and incidence of trichomonosis lesions of nestling eagles in Idaho and found that the proportion of Rock Pigeons in eagle diets was higher in recent versus historical periods, as was the proportion of eagle nestlings with trichomonosis lesions. Our results suggested that localized shifts in eagle diet that result from habitat degradation and loss of historical prey resources have the potential to affect Golden Eagle nestling survival and supported the hypothesis that land use change can alter biologic communities in a way that might have consequences for disease infection and host susceptibility.
","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2017-11-271","usgsCitation":"Dudek, B.M., Kochert, M.N., Barnes, J.G., Bloom, P.H., Papp, J.M., Gerhold, R.W., Purple, K.E., Jacobson, K.V., Preston, C.R., Vennum, C.R., Watson, J.W., and Heath, J.A., 2018, Prevalence and risk factors of Trichomonas gallinae and trichomonosis in golden eagle (Aquila chrysaetos) nestlings in western North America: Journal of Wildlife Diseases, v. 54, no. 4, p. 755-764, https://doi.org/10.7589/2017-11-271.","productDescription":"10 p.","startPage":"755","endPage":"764","ipdsId":"IP-092233","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":361592,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"54","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dudek, Benjamin M","contributorId":213631,"corporation":false,"usgs":false,"family":"Dudek","given":"Benjamin","email":"","middleInitial":"M","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":758189,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kochert, Michael N. 0000-0002-4380-3298 mkochert@usgs.gov","orcid":"https://orcid.org/0000-0002-4380-3298","contributorId":3037,"corporation":false,"usgs":true,"family":"Kochert","given":"Michael","email":"mkochert@usgs.gov","middleInitial":"N.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":758188,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnes, Joseph G.","contributorId":213632,"corporation":false,"usgs":false,"family":"Barnes","given":"Joseph","email":"","middleInitial":"G.","affiliations":[{"id":27489,"text":"Nevada Department of Wildlife","active":true,"usgs":false}],"preferred":false,"id":758190,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bloom, Peter H.","contributorId":191356,"corporation":false,"usgs":false,"family":"Bloom","given":"Peter","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":758191,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Papp, Joseph M.","contributorId":213633,"corporation":false,"usgs":false,"family":"Papp","given":"Joseph","email":"","middleInitial":"M.","affiliations":[{"id":38830,"text":"Bloom Research Inc.","active":true,"usgs":false}],"preferred":false,"id":758192,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gerhold, Richard W.","contributorId":201770,"corporation":false,"usgs":false,"family":"Gerhold","given":"Richard","email":"","middleInitial":"W.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":758193,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Purple, Kathryn E.","contributorId":213634,"corporation":false,"usgs":false,"family":"Purple","given":"Kathryn","email":"","middleInitial":"E.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":758194,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jacobson, Kenneth V.","contributorId":213635,"corporation":false,"usgs":false,"family":"Jacobson","given":"Kenneth","email":"","middleInitial":"V.","affiliations":[{"id":38831,"text":"Arizona Department of Game and Fish","active":true,"usgs":false}],"preferred":false,"id":758195,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Preston, Charles R.","contributorId":198922,"corporation":false,"usgs":false,"family":"Preston","given":"Charles","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":758196,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Vennum, Chris R.","contributorId":213636,"corporation":false,"usgs":false,"family":"Vennum","given":"Chris","email":"","middleInitial":"R.","affiliations":[{"id":37455,"text":"University of Nevada","active":true,"usgs":false}],"preferred":false,"id":758197,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Watson, James W.","contributorId":198921,"corporation":false,"usgs":false,"family":"Watson","given":"James","email":"","middleInitial":"W.","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":758198,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Heath, Julie A.","contributorId":192842,"corporation":false,"usgs":false,"family":"Heath","given":"Julie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":758199,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70201801,"text":"70201801 - 2018 - No flood effect on recruitment of a small Louisiana black bear population","interactions":[],"lastModifiedDate":"2019-01-30T15:05:37","indexId":"70201801","displayToPublicDate":"2018-12-01T15:02:43","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"No flood effect on recruitment of a small Louisiana black bear population","docAbstract":"A flood event in 2011 had minor impacts on apparent survival and movement probabilities of a small, isolated population of Louisiana black bears (Ursus americanus luteolus) in the Upper Atchafalaya River Basin, Louisiana, USA. However, the potential effects of the flood on recruitment of juveniles into the population, then listed as threatened under the United States Endangered Species Act, were not evaluated. We used hair trapping data collected from 2007 to 2015 and Pradel temporal symmetry models in a robust‐design framework to investigate changes in per capita recruitment that could have resulted from the flood. We detected 91 bears (37 M:54 F) within the flooded area during our study period, ranging from 21 to 44 individuals/year. Models that tested for reduced recruitment resulting from the flood were not supported more than models with constant recruitment, and the population growth rate did not decline. Although we documented marginally lower recruitment following the 2011 flood, lag effects and detectability biases complicated our analysis. We suggest that wildlife managers continue monitoring recruitment and survival in this recently delisted black bear population given the potential for heightened flood frequency and severity in the future.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21399","usgsCitation":"Clark, J.D., O’Connell-Goode, K.C., Lowe, C.L., Murphy, S.M., Maehr, S.C., Davidson, M., and Laufenberg, J.S., 2018, No flood effect on recruitment of a small Louisiana black bear population: Journal of Wildlife Management, v. 82, no. 3, p. 566-572, https://doi.org/10.1002/jwmg.21399.","productDescription":"7 p.","startPage":"566","endPage":"572","ipdsId":"IP-091472","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":360831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":755409,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Connell-Goode, Kaitlin C.","contributorId":211981,"corporation":false,"usgs":false,"family":"O’Connell-Goode","given":"Kaitlin","email":"","middleInitial":"C.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":755410,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowe, Carrie L.","contributorId":187785,"corporation":false,"usgs":false,"family":"Lowe","given":"Carrie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":755411,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murphy, Sean M.","contributorId":140195,"corporation":false,"usgs":false,"family":"Murphy","given":"Sean","email":"","middleInitial":"M.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":755412,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maehr, Sutton C.","contributorId":211982,"corporation":false,"usgs":false,"family":"Maehr","given":"Sutton","email":"","middleInitial":"C.","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":755413,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Davidson, Maria M.","contributorId":187788,"corporation":false,"usgs":false,"family":"Davidson","given":"Maria M.","affiliations":[],"preferred":false,"id":755414,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Laufenberg, Jared S.","contributorId":28899,"corporation":false,"usgs":false,"family":"Laufenberg","given":"Jared","email":"","middleInitial":"S.","affiliations":[{"id":7006,"text":"Department of Forestry, Wildlife and Fisheries, University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":755415,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70201740,"text":"70201740 - 2018 - How or when samples are collected affects measured arsenic concentration in new drinking water wells","interactions":[],"lastModifiedDate":"2019-01-28T14:57:43","indexId":"70201740","displayToPublicDate":"2018-12-01T14:57:36","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"How or when samples are collected affects measured arsenic concentration in new drinking water wells","docAbstract":"Naturally occurring arsenic can adversely affect water quality in geologically diverse aquifers throughout the world. Chronic exposure to arsenic via drinking water is a human health concern due to risks for certain cancers, skin abnormalities, peripheral neuropathy, and other negative health effects. Statewide in Minnesota, USA, 11% of samples from new drinking water wells have arsenic concentrations exceeding 10 μg/L; in certain counties more than 35% of tested samples exceed 10 μg/L arsenic. Since 2008, Minnesota well code has required testing water from new wells for arsenic. Sample collection protocols are not specified in the well code, so among 180 well drillers there is variability in sampling methods, including sample collection point and sample collection timing. This study examines the effect of arsenic sample collection protocols on the variability of measured arsenic concentrations in water from new domestic water supply wells. Study wells were drilled between 2014 and 2016 in three regions of Minnesota that commonly have elevated arsenic concentrations in groundwater. Variability in measured arsenic concentration at a well was reduced when samples were (1) filtered, (2) collected from household plumbing instead of from the drill rig pump, or (3) collected several months after well construction (instead of within 4 weeks of well installation). Particulates and fine aquifer sediments entrained in groundwater samples, or other artifacts of drilling disturbance, can cause undesirable variability in measurements. Establishing regulatory protocols requiring sample filtration and/or collection from household plumbing could improve the reliability of information provided to well owners and to secondary data users.
","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12643","usgsCitation":"Erickson, M., Malenda, H.F., and Berquist, E.C., 2018, How or when samples are collected affects measured arsenic concentration in new drinking water wells: Groundwater, v. 56, no. 6, p. 921-933, https://doi.org/10.1111/gwat.12643.","productDescription":"13 p.","startPage":"921","endPage":"933","ipdsId":"IP-090483","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":468212,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.12643","text":"Publisher Index Page"},{"id":437663,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7736PVK","text":"USGS data release","linkHelpText":"Arsenic and field parameter determinations for newly constructed wells in the central, northwest, and northeast regions in Minnesota"},{"id":360765,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":360748,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/abs/10.1111/gwat.12643"}],"volume":"56","issue":"6","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-06","publicationStatus":"PW","scienceBaseUri":"5c5022c5e4b0708288f7e817","contributors":{"authors":[{"text":"Erickson, Melinda L. 0000-0002-1117-2866 merickso@usgs.gov","orcid":"https://orcid.org/0000-0002-1117-2866","contributorId":3671,"corporation":false,"usgs":true,"family":"Erickson","given":"Melinda L.","email":"merickso@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Malenda, Helen F. 0000-0003-4143-6460","orcid":"https://orcid.org/0000-0003-4143-6460","contributorId":211885,"corporation":false,"usgs":false,"family":"Malenda","given":"Helen","email":"","middleInitial":"F.","affiliations":[{"id":38341,"text":"Colorodo School of Mines","active":true,"usgs":false}],"preferred":true,"id":755127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berquist, Emily C.","contributorId":202174,"corporation":false,"usgs":false,"family":"Berquist","given":"Emily","email":"","middleInitial":"C.","affiliations":[{"id":36357,"text":"Minnesota Department of Health","active":true,"usgs":false}],"preferred":false,"id":755128,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70202557,"text":"70202557 - 2018 - Event-response ellipses: A method to quantify and compare the role of dynamic storage at the catchment scale in snowmelt-dominated systems","interactions":[],"lastModifiedDate":"2019-03-11T14:53:01","indexId":"70202557","displayToPublicDate":"2018-12-01T14:52:55","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Event-response ellipses: A method to quantify and compare the role of dynamic storage at the catchment scale in snowmelt-dominated systems","docAbstract":"A method for quantifying the role of dynamic storage as a physical buffer between snowmelt and streamflow at the catchment scale is introduced in this paper. The method describes a quantitative relation between hydrologic events (e.g., snowmelt) and responses (e.g., streamflow) by generating event-response ellipses that can be used to (a) characterize and compare catchment-scale dynamic storage processes, and (b) assess the closure of the water balance. Event-response ellipses allow for the role of dynamic, short-term storage to be quantified and compared between seasons and between catchments. This method is presented as an idealization of the system: a time series of a snowmelt event as a portion of a sinusoidal wave function. The event function is then related to a response function, which is the original event function modified mathematically through phase and magnitude shifts to represent the streamflow response. The direct relation of these two functions creates an event-response ellipse with measurable characteristics (e.g., eccentricity, angle). The ellipse characteristics integrate the timing and magnitude difference between the hydrologic event and response to quantify physical buffering through dynamic storage. Next, method is applied to eleven snowmelt seasons in two well-instrumented headwater snowmelt-dominated catchments with known differences in storage capacities. Results show the time-period average daily values produce different event-response ellipse characteristics for the two catchments. Event-response ellipses were also generated for individual snowmelt seasons; however, these annual applications of the method show more scatter relative to the time period averaged values. The event-response ellipse method provides a method to compare and evaluate the connectivity between snowmelt and streamflow as well as assumptions of water balance.
","language":"English","publisher":"MDPI","doi":"10.3390/w10121824","usgsCitation":"Driscoll, J.M., Meixner, T., Molotch, N.P., Ferre, T.P., Williams, M.W., and Sickman, J.O., 2018, Event-response ellipses: A method to quantify and compare the role of dynamic storage at the catchment scale in snowmelt-dominated systems: Water, v. 10, no. 12, p. 1-17, https://doi.org/10.3390/w10121824.","productDescription":"Article 1824; 17 p.","startPage":"1","endPage":"17","ipdsId":"IP-096914","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":468213,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w10121824","text":"Publisher Index Page"},{"id":361982,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Driscoll, Jessica M. 0000-0003-3097-9603 jdriscoll@usgs.gov","orcid":"https://orcid.org/0000-0003-3097-9603","contributorId":167585,"corporation":false,"usgs":true,"family":"Driscoll","given":"Jessica","email":"jdriscoll@usgs.gov","middleInitial":"M.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":759101,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meixner, Thomas","contributorId":22653,"corporation":false,"usgs":false,"family":"Meixner","given":"Thomas","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":759102,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Molotch, Noah P. 0000-0003-4733-8060","orcid":"https://orcid.org/0000-0003-4733-8060","contributorId":203466,"corporation":false,"usgs":false,"family":"Molotch","given":"Noah","email":"","middleInitial":"P.","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":759103,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ferre, Ty P. A.","contributorId":214081,"corporation":false,"usgs":false,"family":"Ferre","given":"Ty","email":"","middleInitial":"P. A.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":759104,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, Mark W.","contributorId":214082,"corporation":false,"usgs":false,"family":"Williams","given":"Mark","email":"","middleInitial":"W.","affiliations":[{"id":38977,"text":"University of Colorado at Boulder","active":true,"usgs":false}],"preferred":false,"id":759105,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sickman, James O.","contributorId":214083,"corporation":false,"usgs":false,"family":"Sickman","given":"James","email":"","middleInitial":"O.","affiliations":[{"id":38978,"text":"University of California at Riverside","active":true,"usgs":false}],"preferred":false,"id":759106,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70204195,"text":"70204195 - 2018 - Estimates of abundance and longevity of Bridled Quail-Doves (Geotrygon mystacea) on Guana Island, British Virgin Islands","interactions":[],"lastModifiedDate":"2019-07-11T14:35:05","indexId":"70204195","displayToPublicDate":"2018-12-01T14:32:50","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Estimates of abundance and longevity of Bridled Quail-Doves (Geotrygon mystacea) on Guana Island, British Virgin Islands","docAbstract":"The Bridled Quail-Dove (Geotrygon mystacea) is a columbiform resident of the eastern Caribbean. It is a poorly studied species with a lack of quantitative data to assess population status, but perceived population declines have led to it being considered a species of conservation concern on many islands. I attempted to assess population size and survival of Bridled Quail-Doves on Guana Island, British Virgin Islands. Based on detection probability, density estimates for Guana Island ranged from 1.38 to 1.57 individuals/ha in 2014 and 2015, respectively. Densities varied among cover type, with an estimated 1.13 individuals/ha in dry forest (90% of the island) and 4.63 individuals/ha in ghaut forest (5% of the island). These values would translate to a pooled estimate of ∼429 individuals during the survey period. Of 36 Bridled Quail-Doves captured and marked, the naïve estimate of annual survival was 0.813, with 0.36 captured individuals surviving at least 1 year, and the average minimum age at last recapture was 4.9 years old. This report is the first quantitative based estimates of population size and longevity for the species and may serve as a starting point for longer-term studies on Guana Island, but also for comparison to populations on other islands.
No abstract available.
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The goal of this summary chapter is twofold. The first is to provide the reader an overview of the content of the preceding chapters. This they can read at the very beginning, before moving on to individual chapters in detail. Alternatively, they may read it at the very end to refresh their memory and to summarize the contents of the Volume. Second, this summary provides the editors’ perspective, bringing in their rich collective experience and expertise to guide the reader. We have kept the summaries brief and illustrative, so that the reader can quickly gather essential initial knowledge and guidance. The in-depth details can be found in the individual chapters.
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