{"pageNumber":"336","pageRowStart":"8375","pageSize":"25","recordCount":41078,"records":[{"id":70205859,"text":"70205859 - 2019 - Ecosystem scale loss of grazing habitat impacted by abundance of dominant herbivores","interactions":[],"lastModifiedDate":"2019-10-09T08:04:53","indexId":"70205859","displayToPublicDate":"2019-06-12T08:04:15","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Ecosystem scale loss of grazing habitat impacted by abundance of dominant herbivores","docAbstract":"Grazing lawns, patches of grazing tolerant plants with high nutrient value, provide important habitat for herbivores, and changes in abundance can impact herbivore populations.  Grazing lawns are maintained in quality and quantity by repeated grazing and are a result of a positive feedback since the availability of grazing lawn can increase herbivore populations and increased herbivore populations can result in an increase in grazing lawn extent.  We sampled aerial imagery from a long-term dataset (>20 yrs) at an internationally important breeding area for avian herbivores to model changes in grazing lawn abundance over time and identify the possible factors impacting those changes, including numbers of breeding birds, their primary predator, and spring phenology.  Our data suggests that avian herbivores and their predators likely exert strong impacts on plant communities and may drive vegetation abundance.  Decreases in the number of herbivore nests in our study coincided with an almost complete lack of grazing lawn in the mid-2000s.  Any factors dictating the amount of grazing lawn available for avian herbivores could strongly influence breeding success and the maximum size of these populations.  Our results demonstrate the importance of studying complex interactions among predators, herbivores and plants, and population moderation by both bottom-up and top-down processes.","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.2767","usgsCitation":"Uher-Koch, B.D., Schmutz, J.A., Wilson, H.M., Anthony, R., Day, T.L., Fondell, T.F., Person, B.T., and Sedinger, J.S., 2019, Ecosystem scale loss of grazing habitat impacted by abundance of dominant herbivores: Ecosphere, v. 10, no. 6, e02767, https://doi.org/10.1002/ecs2.2767.","productDescription":"e02767","ipdsId":"IP-101279","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":467539,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2767","text":"Publisher Index Page"},{"id":368147,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Uher-Koch, Brian D. 0000-0002-1885-0260 buher-koch@usgs.gov","orcid":"https://orcid.org/0000-0002-1885-0260","contributorId":5117,"corporation":false,"usgs":true,"family":"Uher-Koch","given":"Brian","email":"buher-koch@usgs.gov","middleInitial":"D.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":772645,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":772646,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Heather M.","contributorId":37056,"corporation":false,"usgs":false,"family":"Wilson","given":"Heather","email":"","middleInitial":"M.","affiliations":[{"id":13236,"text":"U.S. Fish and Wildlife Service, Migratory Bird Management","active":true,"usgs":false}],"preferred":false,"id":772647,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anthony, R Michael","contributorId":219603,"corporation":false,"usgs":false,"family":"Anthony","given":"R Michael","affiliations":[{"id":40038,"text":"USGS Alaska Science Center (Retired)","active":true,"usgs":false}],"preferred":false,"id":772648,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Day, Thomas L","contributorId":219604,"corporation":false,"usgs":false,"family":"Day","given":"Thomas","email":"","middleInitial":"L","affiliations":[{"id":12915,"text":"Alaska Pacific University","active":true,"usgs":false}],"preferred":false,"id":772649,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fondell, Thomas F tfondell@usgs.gov","contributorId":219605,"corporation":false,"usgs":false,"family":"Fondell","given":"Thomas","email":"tfondell@usgs.gov","middleInitial":"F","affiliations":[{"id":40039,"text":"USGS Alaska Science Center (Deceased)","active":true,"usgs":false}],"preferred":false,"id":772650,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Person, Brian T.","contributorId":107457,"corporation":false,"usgs":false,"family":"Person","given":"Brian","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":772651,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sedinger, James S.","contributorId":213694,"corporation":false,"usgs":false,"family":"Sedinger","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":772652,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70207038,"text":"70207038 - 2019 - Adaptive harvest management for the Svalbard population of pink‐footed geese: 2019 progress summary","interactions":[],"lastModifiedDate":"2019-12-04T15:55:23","indexId":"70207038","displayToPublicDate":"2019-06-11T15:54:36","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Adaptive harvest management for the Svalbard population of pink‐footed geese: 2019 progress summary","docAbstract":"This report describes an Adaptive Harvest Management (AHM) program designed to maintain the Svalbard population of Pink-footed Geese (Anser brachyrhynchus) near their target level (60,000) by providing sustainable harvests in Norway and Denmark. Specifically, this report provides recent monitoring and assessment results and their implications for the 2019 hunting season.\n\nIn this report we provide results for both the set of nine discrete population models used since 2013 and for a recently developed Integrated Population Model (IPM). Updating model weights (set of nine models) and model parameters (IPM) use the most recent monitoring information available (i.e. through spring 2019). We also compare optimal harvest strategies based on the two modeling approaches. Of growing concern, however, has been the observation that the predictive ability of the original population models has declined over time. Going forward, we suggest that use of the IPM is a superior modeling approach for setting hunting seasons for\nPink-footed Geese.\n\nPopulation sizes in May as estimated by the IPM are in general agreement with counts and capture-markrecapture estimates but are more precise. Estimates of survival from natural causes were relatively constant over time with a mean of 0.93 and estimates of adult kill rate ranged from 0.04 to 0.13. Estimates of countryspecific kill rates suggest that most of the overall increase in kill rate in recent years is attributed to increasing harvest pressure in Denmark. With respect to productivity, the IPM produced estimates of preseason age ratio that were variable over time, but on average suggested that young constituted about 18% of the population just\nprior to the hunting season. Estimates of the preseason age ratio correlated well with the number of days above freezing in May in Svalbard. Our results suggest that population size has stabilized because of declining survival rates that have accompanied an increase in kill rates. Adoption of the IPM this year would result in a harvest quota for the 2019 hunting season of 22,000, based on a May population estimate of 76,500 (95% CI: 66,800 – 86,600) and 8 days above freezing in Svalbard. Using the agreed upon allocation of the total allowable\nharvest, the quotas are 6,600 for Norway and 15,400 for Denmark. Assuming the total quota is met, the IPM predicts a population size in May 2020 of 64,900 (95% CI: 50,300 – 83,700).\n\nWe note that the updated set of original models used since 2013 suggests an allowable harvest of 40,000 in 2019 based on a November 2018 count of 91,900 geese (comprised of 12,900 young and 79,000 adults). We are skeptical of this large quota, however. Using all available demographic data suggests that the November 2018 population size was lower than that indicated by the count and that the winter population experienced more natural mortality than expected. These insights demonstrate the inherent risk of basing a harvest quota\non a single population count, irrespective of other demographic data.","language":"English","publisher":"AEWA European Goose Management International Working Group","collaboration":"Aarhus University, Denmark","usgsCitation":"Johnson, F., Heldbjerg, H., Clausen, K.K., and Madsen, J., 2019, Adaptive harvest management for the Svalbard population of pink‐footed geese: 2019 progress summary, 19 p.","productDescription":"19 p.","ipdsId":"IP-108881","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":369923,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":369893,"type":{"id":11,"text":"Document"},"url":"https://egmp.aewa.info/sites/default/files/meeting_files/documents/AEWA_EGM_IWG_4_7_PFG_AHM%20update.pdf"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Fred 0000-0002-5854-3695","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":221013,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":776594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heldbjerg, Henning","contributorId":174479,"corporation":false,"usgs":false,"family":"Heldbjerg","given":"Henning","email":"","affiliations":[],"preferred":false,"id":776595,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clausen, Kevin K.","contributorId":174355,"corporation":false,"usgs":false,"family":"Clausen","given":"Kevin","email":"","middleInitial":"K.","affiliations":[{"id":13419,"text":"Aarhus University, Denmark","active":true,"usgs":false}],"preferred":false,"id":776596,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Madsen, Jesper","contributorId":178168,"corporation":false,"usgs":false,"family":"Madsen","given":"Jesper","email":"","affiliations":[],"preferred":false,"id":776597,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203875,"text":"70203875 - 2019 - Soil characteristics are associated with gradients of big sagebrush canopy structure after disturbance","interactions":[],"lastModifiedDate":"2019-08-15T12:19:43","indexId":"70203875","displayToPublicDate":"2019-06-11T14:21:18","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Soil characteristics are associated with gradients of big sagebrush canopy structure after disturbance","docAbstract":"Reestablishing shrub canopy cover after disturbance in semi-arid ecosystems, such as sagebrush steppe, is essential to provide wildlife habitat and restore ecosystem functioning. While several studies have explored the effects of landscape and climate factors on the success or failure of sagebrush seeding, the influence of soil properties on gradients of shrub canopy structure in successfully seeded areas remains largely unexplored. In this study, we evaluated associations between soil properties and gradients in sagebrush canopy structure in stands that had successfully reestablished after fire and subsequent seeding treatments. Using a dataset collected across the Great Basin, USA, of sagebrush stands that had burned and reestablished\nbetween 1986 and 2013, we tested soil depth and texture, soil surface classification, biological soil crusts plus mean historical precipitation, solar heatload, and fire history as modeling variables to explore gradients in sagebrush canopy structure growth in terms of cover, height, and density. Deeper soils were associated with greater sagebrush canopy structure development in terms of plant density and percent cover, coarser textured soils were associated with greater sagebrush cover and density, and more clayey soils were typically associated with greater height. Biological crust presence was also positively associated with enhanced sagebrush canopy growth, but adding more demographically or morphologically explicit descriptions of biocrust communities did not improve explanatory power. Increasing heatload had a negative effect on sagebrush canopy structure growth, and increased mean annual precipitation was only associated with greater sagebrush height. Given that conservation and restoration of the sagebrush steppe ecosystems has become a priority for land managers, the associations we identify between gradients in post-fire sagebrush canopy structure growth and field-identifiable soil characteristics may improve planning of land treatments for sagebrush restoration and the understanding of semi-arid ecosystem functioning and post-disturbance dynamics.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2780","usgsCitation":"Barnard, D., Germino, M., Arkle, R., Bradford, J., Duniway, M., Pilliod, D.S., Pyke, D., Shriver, R., and Welty, J.L., 2019, Soil characteristics are associated with gradients of big sagebrush canopy structure after disturbance: Ecosphere, v. 10, no. 6, e02780, 12 p., https://doi.org/10.1002/ecs2.2780.","productDescription":"e02780, 12 p.","ipdsId":"IP-101399","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":467540,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2780","text":"Publisher Index Page"},{"id":364792,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Barnard, David","contributorId":216338,"corporation":false,"usgs":true,"family":"Barnard","given":"David","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":764545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Germino, Matthew J. 0000-0001-6326-7579 mgermino@usgs.gov","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":152582,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","email":"mgermino@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":764544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arkle, Robert 0000-0003-3021-1389","orcid":"https://orcid.org/0000-0003-3021-1389","contributorId":216339,"corporation":false,"usgs":true,"family":"Arkle","given":"Robert","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":764546,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradford, John","contributorId":216340,"corporation":false,"usgs":true,"family":"Bradford","given":"John","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":764547,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duniway, Michael","contributorId":216341,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":764548,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":216342,"corporation":false,"usgs":true,"family":"Pilliod","given":"David","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":764549,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pyke, David 0000-0002-4578-8335 david_a_pyke@usgs.gov","orcid":"https://orcid.org/0000-0002-4578-8335","contributorId":216343,"corporation":false,"usgs":true,"family":"Pyke","given":"David","email":"david_a_pyke@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":764550,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shriver, Robert","contributorId":216344,"corporation":false,"usgs":true,"family":"Shriver","given":"Robert","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":764551,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Welty, Justin L. 0000-0001-7829-7324 jwelty@usgs.gov","orcid":"https://orcid.org/0000-0001-7829-7324","contributorId":216345,"corporation":false,"usgs":true,"family":"Welty","given":"Justin","email":"jwelty@usgs.gov","middleInitial":"L.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":764552,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70203682,"text":"70203682 - 2019 - The roles of flow acceleration and deceleration in sediment suspension in the surf zone","interactions":[],"lastModifiedDate":"2019-06-12T08:41:19","indexId":"70203682","displayToPublicDate":"2019-06-11T12:30:27","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The roles of flow acceleration and deceleration in sediment suspension in the surf zone","docAbstract":"Prediction of sediment suspension in the surf zone remains elusive. We explore how suspended sediment concentration at 19 cm above the bed in the mid-surf zone during a storm is influenced by flow acceleration and deceleration. There is a tendency for higher suspended sediment concentrations during onshore flow, with decelerating onshore flows having higher concentrations than steady, accelerating, or reversing flows. The development of models that exploit information on flow acceleration, deceleration, and flow reversal may lead to improved ability to predict suspended sediment transport in the surf zone and resulting geomorphic changes.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coastal Sediments 2019, Proceedings of the 9th International Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"9th International Conference on Coastal Sediments 2019","conferenceDate":"May 27-31, 2019","conferenceLocation":"Tampa/St. Petersburg, Florida","language":"English","publisher":"World Scientific","doi":"10.1142/9789811204487_0050","usgsCitation":"Jaffe, B.E., and La Selle, S., 2019, The roles of flow acceleration and deceleration in sediment suspension in the surf zone, <i>in</i> Coastal Sediments 2019, Proceedings of the 9th International Conference, Tampa/St. Petersburg, Florida, May 27-31, 2019, p. 565-576, https://doi.org/10.1142/9789811204487_0050.","productDescription":"12 p.","startPage":"565","endPage":"576","ipdsId":"IP-105729","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":364594,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":763586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"La Selle, SeanPaul 0000-0002-4500-7885 slaselle@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-7885","contributorId":181565,"corporation":false,"usgs":true,"family":"La Selle","given":"SeanPaul","email":"slaselle@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":763587,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70203773,"text":"70203773 - 2019 - Is barotrauma an important factor in the discard mortality of Yellow Perch?","interactions":[],"lastModifiedDate":"2019-06-12T08:46:29","indexId":"70203773","displayToPublicDate":"2019-06-11T09:58:46","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Is barotrauma an important factor in the discard mortality of Yellow Perch?","docAbstract":"In physoclistous fishes, barotrauma caused by rapid decompression during capture may be an important source of fishing mortality that is unquantified for some fisheries. We developed a predictive logistic model for barotrauma incidence in Yellow Perch Perca flavescens and applied this model to Ohio's recreational and commercial fisheries in Lake Erie where fisheries managers implicitly consider discard mortality to be negligible in current stock assessment. As expected, capture depth explained most of the variation in incidence, with comparatively small effects of season, sex, and size categories. Measurements of whole body and gonad density provided limited explanation for the categorical effects. Both fisheries spanned a range of depths (7.6 to 16.8 m) that corresponded to a broad range of barotrauma incidence (13 to 74%). Using a recent example, we estimated that additional fishing mortality due to barotrauma in discards was approximately six-fold higher in the commercial than recreational fishery. Overall, this additional mortality was <1% of lake-wide population size estimates. Thus, the assumption that all discarded Yellow Perch survive is unlikely to result in a detectable bias in population estimates. One caveat is that we still do not understand how strong year-classes might influence discard mortality via increased discard rate and barotrauma incidence for small fish.","language":"English","publisher":"US Fish and Wildlife Service","doi":"10.3996/062018-JFWM-056","usgsCitation":"Knight, C., Kraus, R.T., Panos, D., Gorman, A.M., Leonhardt, B., Robinson, J., and Thomas, M.J., 2019, Is barotrauma an important factor in the discard mortality of Yellow Perch?: Journal of Fish and Wildlife Management, v. 10, no. 1, p. 69-78, https://doi.org/10.3996/062018-JFWM-056.","productDescription":"10 p.","startPage":"69","endPage":"78","onlineOnly":"N","ipdsId":"IP-098140","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":467541,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/062018-jfwm-056","text":"Publisher Index Page"},{"id":364587,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Lake Erie","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84,\n              41\n            ],\n            [\n              -78.49731445312499,\n              41\n            ],\n            [\n              -78.49731445312499,\n              43.36512572875844\n            ],\n            [\n              -84,\n              43.36512572875844\n            ],\n            [\n              -84,\n              41\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Knight, Carey","contributorId":216161,"corporation":false,"usgs":false,"family":"Knight","given":"Carey","affiliations":[{"id":16232,"text":"Ohio Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":764065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kraus, Richard T. 0000-0003-4494-1841 rkraus@usgs.gov","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":2609,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","email":"rkraus@usgs.gov","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":764064,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Panos, Demetra","contributorId":216162,"corporation":false,"usgs":false,"family":"Panos","given":"Demetra","email":"","affiliations":[{"id":39374,"text":"University of California Northridge","active":true,"usgs":false}],"preferred":false,"id":764066,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gorman, Ann Marie","contributorId":145525,"corporation":false,"usgs":false,"family":"Gorman","given":"Ann","email":"","middleInitial":"Marie","affiliations":[],"preferred":false,"id":764067,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Leonhardt, Benjamin","contributorId":216163,"corporation":false,"usgs":false,"family":"Leonhardt","given":"Benjamin","affiliations":[{"id":16232,"text":"Ohio Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":764068,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robinson, Jason","contributorId":216164,"corporation":false,"usgs":false,"family":"Robinson","given":"Jason","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":764069,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thomas, Michael J.","contributorId":196240,"corporation":false,"usgs":false,"family":"Thomas","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":764070,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70202729,"text":"ds1104 - 2019 - Regional hydraulic geometry characteristics of stream channels in the Ouachita Mountains of Arkansas","interactions":[],"lastModifiedDate":"2019-06-11T15:50:54","indexId":"ds1104","displayToPublicDate":"2019-06-10T15:40:56","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1104","displayTitle":"Regional Hydraulic Geometry Characteristics of Stream Channels in the Ouachita Mountains of Arkansas","title":"Regional hydraulic geometry characteristics of stream channels in the Ouachita Mountains of Arkansas","docAbstract":"<p>Many stream channel infrastructure, habitat, and restoration projects are being undertaken on small streams throughout Arkansas by various Federal, State, and local agencies and by private organizations and businesses with limited data on local geomorphology and streamflow relations. Equations are needed that relate drainage area above stable stream reaches and the associated basin characteristics to bankfull streamflow and the associated channel dimensions. These equations, along with streambed material particle information, provide information that can improve stream channel projects. The U.S. Geological Survey and the Arkansas Natural Resources Commission in cooperation with the U.S. Army Corps of Engineers, Little Rock District, undertook a study to develop these equations for streams in the Ouachita Mountains of Arkansas.</p><p>Seventeen streamgages operated by the U.S. Geological Survey, located on streams in the Ouachita Mountains, were selected for analysis. Regional hydraulic geometry curves that express the mathematical relation between the bankfull channel dimensions (cross-sectional area, top width, mean depth, and streamflow) and the contributing drainage areas were developed. Streambed material measurements were collected to develop descriptive statistics of the streambed particle-size distributions and percentages of substrate type at each study site. Stream reaches at each study site were classified to the Rosgen level II stream type based on the average of stream channel metrics collected from site cross sections and profiles. Of the 17 selected Ouachita Mountain stream reaches, 6 were classified as B stream types, and 11 were classified as C stream types. The B stream types have infrequently spaced pools; very stable plan forms, profiles, and banks; and narrow, gently sloping valleys, where bank vegetation is a moderate component of stability. The C stream types are meandering, point bar, riffle-pool channels associated with broad valleys having well-defined flood plains and terraces composed of alluvial soils, where bank vegetation is typically a high component of stability.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1104","collaboration":"Prepared in cooperation with the Arkansas Natural Resources Commission and the U.S. Army Corps of Engineers, Little Rock District","usgsCitation":"Pugh, A.L., and Redman, R.K., 2019, Regional hydraulic geometry characteristics of stream channels in the Ouachita Mountains of Arkansas: U.S. Geological Survey Data Series 1104, 25 p., https://doi.org/10.3133/ds1104.","productDescription":"Report: v, 25 p.; Data Release","numberOfPages":"35","onlineOnly":"Y","ipdsId":"IP-076095","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":364361,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1104/ds1104.pdf","text":"Report","size":"8.10 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1104"},{"id":364362,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7BC3WNX","text":"USGS data release ","description":"USGS Data Release","linkHelpText":"Regional Hydraulic Geometry Characteristics of Stream Channels in the Ouachita Mountains of Arkansas"},{"id":364360,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1104/coverthb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"Ouachita Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -95.350341796875,\n              33.6420625047537\n            ],\n            [\n              -93.306884765625,\n              33.6420625047537\n            ],\n            [\n              -93.306884765625,\n              35.34425514918409\n            ],\n            [\n              -95.350341796875,\n              35.34425514918409\n            ],\n            [\n              -95.350341796875,\n              33.6420625047537\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/lmg-water\" href=\"https://www.usgs.gov/centers/lmg-water\">Lower Mississippi-Gulf Water Science Center</a><br>U.S. Geological Survey <br>640 Grassmere Park, Ste 100 <br>Nashville, TN 37211<br></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Data Release</li><li>Description of the Ouachita Mountains</li><li>Methods</li><li>Analysis of Regional Hydraulic Geometry Characteristics of Selected Ouachita Stream Channels</li><li>Limitations of This Study</li><li>Summary</li><li>Selected References</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2019-06-10","noUsgsAuthors":false,"publicationDate":"2019-06-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Pugh, Aaron L. 0000-0003-3945-5750 apugh@usgs.gov","orcid":"https://orcid.org/0000-0003-3945-5750","contributorId":214343,"corporation":false,"usgs":true,"family":"Pugh","given":"Aaron","email":"apugh@usgs.gov","middleInitial":"L.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Redman, Ronald K.","contributorId":214344,"corporation":false,"usgs":false,"family":"Redman","given":"Ronald","email":"","middleInitial":"K.","affiliations":[{"id":6771,"text":"Arkansas Natural Resources Commission","active":true,"usgs":false}],"preferred":false,"id":759691,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70205002,"text":"70205002 - 2019 - 3D electrical conductivity imaging of Halema‘uma‘u lava lake (Kīlauea volcano)","interactions":[],"lastModifiedDate":"2019-08-28T11:50:10","indexId":"70205002","displayToPublicDate":"2019-06-10T11:44:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"3D electrical conductivity imaging of Halema‘uma‘u lava lake (Kīlauea volcano)","docAbstract":"<p><span>Before the 2018 collapse of the summit of Kīlauea volcano, a ca. 200 m in diameter lava lake inside of Halema‘uma‘u crater was embedded in a very active hydrothermal system. In 2015, we carried out an electrical conductivity survey and the data were inverted in 3D. The lack of conductivity contrast precludes distinguishing the lava column from the surrounding hydrothermal zones. Laboratory measurements on samples from the lava lake show that the conductivity of magma is significantly lower than that of hydrothermal zones but the high vesicularity of the upper part of the lava lake may decrease its macroscopic conductivity. Based on the 3D conductivity model, we distinguish at least two types of hydrothermal circulations: 1) one guided by the collapse faults of Halema‘uma‘u crater and by the magmatic column of the lava lake, and 2) another guided by previous caldera faults and fractures related to intrusions. We observe that the location of the faults formed during the 2018 collapse of the summit was greatly influenced by the hydrothermally altered zones.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2019.06.001","usgsCitation":"Gailler, L., Kauahikaua, J.P., Lenat, J., Revil, A., Gresse, M., Ahmed, A.S., Cluzel, N., Manthilake, G., Gurioli, L., Johnson, T.B., Finizola, A., and Delcher, E., 2019, 3D electrical conductivity imaging of Halema‘uma‘u lava lake (Kīlauea volcano): Journal of Volcanology and Geothermal Research, v. 381, p. 185-192, https://doi.org/10.1016/j.jvolgeores.2019.06.001.","productDescription":"8 p.","startPage":"185","endPage":"192","ipdsId":"IP-094105","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467543,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2019.06.001","text":"Publisher Index Page"},{"id":367008,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.30402183532715,\n              19.388238642115578\n            ],\n            [\n              -155.23415565490723,\n              19.388238642115578\n            ],\n            [\n              -155.23415565490723,\n              19.433652713875333\n            ],\n            [\n              -155.30402183532715,\n              19.433652713875333\n            ],\n            [\n              -155.30402183532715,\n              19.388238642115578\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"381","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gailler, Lydie 0000-0002-8132-2428","orcid":"https://orcid.org/0000-0002-8132-2428","contributorId":192584,"corporation":false,"usgs":false,"family":"Gailler","given":"Lydie","email":"","affiliations":[],"preferred":false,"id":769509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kauahikaua, James P. 0000-0003-3777-503X jimk@usgs.gov","orcid":"https://orcid.org/0000-0003-3777-503X","contributorId":2146,"corporation":false,"usgs":true,"family":"Kauahikaua","given":"James","email":"jimk@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":769520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lenat, Jean-Francois 0000-0002-4828-9013","orcid":"https://orcid.org/0000-0002-4828-9013","contributorId":218534,"corporation":false,"usgs":false,"family":"Lenat","given":"Jean-Francois","email":"","affiliations":[{"id":39864,"text":"Laboratoire Magmas et Volcans, Université Blaise Pascal","active":true,"usgs":false}],"preferred":false,"id":769510,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Revil, Andre","contributorId":218535,"corporation":false,"usgs":false,"family":"Revil","given":"Andre","email":"","affiliations":[{"id":39864,"text":"Laboratoire Magmas et Volcans, Université Blaise Pascal","active":true,"usgs":false}],"preferred":false,"id":769511,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gresse, Marceau 0000-0002-3937-3280","orcid":"https://orcid.org/0000-0002-3937-3280","contributorId":218536,"corporation":false,"usgs":false,"family":"Gresse","given":"Marceau","email":"","affiliations":[{"id":39865,"text":"Earthquake Research Institute, University of Tokyo, Tokyo, Japan","active":true,"usgs":false}],"preferred":false,"id":769512,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ahmed, Abdellahi Soueid 0000-0002-4279-0093","orcid":"https://orcid.org/0000-0002-4279-0093","contributorId":218537,"corporation":false,"usgs":false,"family":"Ahmed","given":"Abdellahi","email":"","middleInitial":"Soueid","affiliations":[{"id":39866,"text":"Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, IRD, IFSTTAR, ISTerre, 38000 10 Grenoble, France","active":true,"usgs":false}],"preferred":false,"id":769513,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cluzel, Nicolas 0000-0002-2171-8789","orcid":"https://orcid.org/0000-0002-2171-8789","contributorId":218538,"corporation":false,"usgs":false,"family":"Cluzel","given":"Nicolas","email":"","affiliations":[{"id":39864,"text":"Laboratoire Magmas et Volcans, Université Blaise Pascal","active":true,"usgs":false}],"preferred":false,"id":769514,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Manthilake, Geeth 0000-0001-8161-081X","orcid":"https://orcid.org/0000-0001-8161-081X","contributorId":218539,"corporation":false,"usgs":false,"family":"Manthilake","given":"Geeth","email":"","affiliations":[{"id":39864,"text":"Laboratoire Magmas et Volcans, Université Blaise Pascal","active":true,"usgs":false}],"preferred":false,"id":769515,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gurioli, Lucia","contributorId":218540,"corporation":false,"usgs":false,"family":"Gurioli","given":"Lucia","email":"","affiliations":[{"id":39864,"text":"Laboratoire Magmas et Volcans, Université Blaise Pascal","active":true,"usgs":false}],"preferred":false,"id":769516,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Johnson, Tim B.","contributorId":127336,"corporation":false,"usgs":false,"family":"Johnson","given":"Tim","email":"","middleInitial":"B.","affiliations":[{"id":6780,"text":"Ontario Ministry of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":769517,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Finizola, Anthony","contributorId":190922,"corporation":false,"usgs":false,"family":"Finizola","given":"Anthony","email":"","affiliations":[],"preferred":false,"id":769518,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Delcher, Eric 0000-0001-6671-7133","orcid":"https://orcid.org/0000-0001-6671-7133","contributorId":218541,"corporation":false,"usgs":false,"family":"Delcher","given":"Eric","email":"","affiliations":[{"id":39867,"text":"Laboratoire GéoSciences Réunion, Université de la Réunion, IPGP, Sorbonne Paris-Cité, 14 CNRS UMR 7154, 15 Avenue René Cassin, CS 92003, 97744 Saint-Denis, La Réunion, France","active":true,"usgs":false}],"preferred":false,"id":769519,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70204764,"text":"70204764 - 2019 - Integrating anthropogenic factors into regional-scale species distribution models — A novel application in the imperiled sagebrush biome","interactions":[],"lastModifiedDate":"2019-10-09T09:38:51","indexId":"70204764","displayToPublicDate":"2019-06-10T10:19:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Integrating anthropogenic factors into regional-scale species distribution models — A novel application in the imperiled sagebrush biome","docAbstract":"Species distribution models (SDM) that rely on regional-scale environmental variables will play a key role in forecasting species occurrence in the face of climate change. However, in the Anthropocene, a number of local-scale anthropogenic variables, including wildfire history, land-use change, invasive species, and ecological restoration practices can override regional-scale variables to drive patterns of species distribution. Incorporating these human-induced factors into SDMs remains a major research challenge, in part because spatial variability in these factors occurs at fine scales, rendering prediction over regional extents problematic.  Here, we used big sagebrush (Artemisia tridentata Nutt.) as a model species to explore whether including human-induced factors improves the fit of the SDM. We applied a Bayesian hurdle spatial approach using 21,753 data points of field-sampled vegetation obtained from the LANDFIRE program to model sagebrush occurrence and cover by incorporating fire history metrics and restoration treatments from 1980 to 2015 throughout the Great Basin of North America.","language":"English","publisher":"Wiley","doi":"10.1111/gcb.14728","usgsCitation":"Requena-Mullor, J.M., Maguire, K.C., Shinneman, D.J., and Caughlin, T.T., 2019, Integrating anthropogenic factors into regional-scale species distribution models — A novel application in the imperiled sagebrush biome: Global Change Biology, v. 25, no. 11, p. 3844-3858, https://doi.org/10.1111/gcb.14728.","productDescription":"15 p.","startPage":"3844","endPage":"3858","ipdsId":"IP-104486","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":503724,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10835/20820","text":"External Repository"},{"id":437425,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NQNH41","text":"USGS data release","linkHelpText":"sagebrush_hurdle_model"},{"id":366563,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366545,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1111/gcb.14728"}],"volume":"25","issue":"11","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Requena-Mullor, Juan M.","contributorId":218132,"corporation":false,"usgs":false,"family":"Requena-Mullor","given":"Juan","email":"","middleInitial":"M.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":768379,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maguire, Kaitlin C. 0000-0001-8193-2384","orcid":"https://orcid.org/0000-0001-8193-2384","contributorId":203419,"corporation":false,"usgs":true,"family":"Maguire","given":"Kaitlin","email":"","middleInitial":"C.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":768380,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shinneman, Douglas J. 0000-0002-4909-5181 dshinneman@usgs.gov","orcid":"https://orcid.org/0000-0002-4909-5181","contributorId":147745,"corporation":false,"usgs":true,"family":"Shinneman","given":"Douglas","email":"dshinneman@usgs.gov","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":768378,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caughlin, T. Trevor","contributorId":218133,"corporation":false,"usgs":false,"family":"Caughlin","given":"T.","email":"","middleInitial":"Trevor","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":768381,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70205857,"text":"70205857 - 2019 - Prevalence and diversity of avian blood parasites in a resident northern passerine","interactions":[],"lastModifiedDate":"2019-10-09T08:08:46","indexId":"70205857","displayToPublicDate":"2019-06-10T08:08:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3010,"text":"Parasites & Vectors","printIssn":"1756-3305","active":true,"publicationSubtype":{"id":10}},"title":"Prevalence and diversity of avian blood parasites in a resident northern passerine","docAbstract":"Background: Climate-related changes are expected to influence the prevalence and distribution of vector-borne haemosporidian parasites at northern latitudes, although baseline information about resident birds is still lacking. In this study, we investigated prevalence and genetic diversity of Plasmodium, Haemoproteus, and Leucocytozoon parasites infecting the Northwestern Crow (Corvus caurinus), a non-migratory passerine with unique life-history characteristics. This species occupies both intertidal and forested habitats and is subject to high prevalence of avian keratin disorder (AKD), a disease that causes gross beak deformities. Investigation of avian blood parasites in Northwestern Crows at sites broadly distributed across coastal Alaska provided an opportunity to evaluate specific host factors related to parasite infection status and assess geographic patterns of prevalence.\nResults: We used molecular methods to screen for haemosporidian parasites in Northwestern Crows and estimated genus-specific parasite prevalence with occupancy modeling that accounts for imperfect detection of parasite infection. We observed considerable geographic and annual variation in prevalence of Plasmodium, Haemoproteus, and Leucocytozoon , but these patterns were not correlated with indices of local climatic conditions. Our models also did not provide support for relationships between the probability of parasite infection and body condition or the occurrence of co-infections with other parasite genera or clinical signs of AKD. In our phylogenetic analyses, we identified multiple lineages of each parasite genus, with Leucocytozoon showing greater diversity than Plasmodium or Haemoproteus.\nConclusions: Results from this study expand our knowledge about the prevalence and diversity of avian blood parasites in northern resident birds as well as corvids worldwide. We detected all three genera of avian haemosporidians in Northwestern Crows in Alaska, although only Leucocytozoon occurred at all sites in both years. Given the strong geographic and interannual variation in parasite prevalence and apparent lack of correlation with climatic variables, it appears that there are other key factors responsible for driving transmission dynamics in this region. Thus, caution is warranted when using standard climatic or geographic attributes in a predictive framework. Our phylogenetic results demonstrate lower host specificity for some lineages of Leucocytozoon than is typically reported and provide insights about genetic diversity of local haemosporidian parasites in Alaska.","language":"English","publisher":"Springer","doi":"10.1186/s13071-019-3545-1","usgsCitation":"Van Hemert, C.R., Meixell, B.W., Smith, M.M., and Handel, C.M., 2019, Prevalence and diversity of avian blood parasites in a resident northern passerine: Parasites & Vectors, v. 12, 292, https://doi.org/10.1186/s13071-019-3545-1.","productDescription":"292","ipdsId":"IP-101943","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":467546,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s13071-019-3545-1","text":"Publisher Index Page"},{"id":437426,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EBB1LG","text":"USGS data release","linkHelpText":"Blood Parasite Infection Data from Northwestern Crows (Corvus caurinus), Alaska, 2007-2008"},{"id":368149,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Hemert, Caroline R. 0000-0002-6858-7165 cvanhemert@usgs.gov","orcid":"https://orcid.org/0000-0002-6858-7165","contributorId":3592,"corporation":false,"usgs":true,"family":"Van Hemert","given":"Caroline","email":"cvanhemert@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":772640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meixell, Brandt W. 0000-0002-6738-0349 bmeixell@usgs.gov","orcid":"https://orcid.org/0000-0002-6738-0349","contributorId":138716,"corporation":false,"usgs":true,"family":"Meixell","given":"Brandt","email":"bmeixell@usgs.gov","middleInitial":"W.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":772641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Matthew M. 0000-0002-2259-5135 mmsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-2259-5135","contributorId":5115,"corporation":false,"usgs":true,"family":"Smith","given":"Matthew","email":"mmsmith@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":772642,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":772643,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70206159,"text":"70206159 - 2019 - Modern pollen-assemblages data from small lakes paired with local forest-composition data in northeastern United States","interactions":[],"lastModifiedDate":"2019-10-24T06:55:43","indexId":"70206159","displayToPublicDate":"2019-06-10T06:54:12","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Modern pollen-assemblages data from small lakes paired with local forest-composition data in northeastern United States","docAbstract":"For the past century, pollen analysis has served as a primary tool for inferring past changes in vegetation composition and structure (Birks et al. 2016, Edwards et al. 2017).  Pollen-based inferences are supported by empirical studies comparing modern pollen assemblages with modern vegetation composition.  In one approach, pollen abundances (usually percentages) for individual taxa are compared directly with quantitative estimates of abundance in surrounding vegetation (Jackson 1994, Davis 2000).  This approach has been applied most frequently using spatially extensive but coarse-scale forest inventory data (Webb et al. 1981, Bradshaw and Webb 1985, Prentice & Webb 1986, Prentice et al. 1987, Paciorek & McLachlan 2009, Dawson et al. 2016, Kujawa et al. 2016).  In these studies, forest composition cannot usually be estimated accurately within a 1- to 10 km radius of the individual sites owing to limited spatial density of forest inventory data.  A few studies have compared vegetation composition within 50-100 m of pollen-sampling sites, but in these cases the pollen is from forest-floor assemblages (Bradshaw 1981, Jackson & Wong 1994, Jackson & Kearsley 1998) or from small forest hollows (Calcote 1995, 1998, Parshall & Calcote 2001).  Largely lacking are pollen assemblage data from lake sediments paired with local forest composition, measured within 100 to 1000 m of the lake margins (Jackson 1990).  This absence represents a substantial gap in ability to understand and model pollen-vegetation relationships, because lakes are the primary source of fossil-pollen sequences worldwide, and because the leptokurtic nature of pollen dispersal ensures that local vegetation has an important effect on pollen composition in sediments (Jackson 1994, Sugita 1994, 2007a, 2007b, Jackson & Lyford 1999).  Here, I present a data set pairing modern pollen assemblages from 33 small lakes in the forested northeastern United States (Fig. 1) with forest composition data measured within 20, 50, 100, 500, and 1000 metres of the lake margins.  This data set incorporates most of the sites used in Jackson (1990), adding 16 new sites and delivering the vegetation data by species in absolute units (i.e., total basal area), which allows various weightings and transformations to be applied.  The data set should be of value to paleoecologists and forest ecologists in understanding, modeling, and validating the pollen-vegetation relationships that are at the heart of paleoecological inference.","language":"English","publisher":"Wiley","doi":"10.1002/ecy.2784","collaboration":"]","usgsCitation":"Jackson, S., 2019, Modern pollen-assemblages data from small lakes paired with local forest-composition data in northeastern United States: Ecology, v. 100, no. 10, e02784, https://doi.org/10.1002/ecy.2784.","productDescription":"e02784","ipdsId":"IP-104434","costCenters":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"links":[{"id":467547,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.2784","text":"Publisher Index Page"},{"id":368547,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Northeastern United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.03515625,\n              42.00032514831621\n            ],\n            [\n              -80.771484375,\n              39.53793974517628\n            ],\n            [\n              -79.1455078125,\n              39.40224434029275\n            ],\n            [\n              -76.3330078125,\n              39.40224434029275\n            ],\n            [\n              -76.4208984375,\n              38.238180119798635\n            ],\n            [\n              -75.234375,\n              37.055177106660814\n            ],\n            [\n              -74.3994140625,\n              38.47939467327645\n            ],\n            [\n              -73.7841796875,\n              38.8225909761771\n            ],\n            [\n              -72.50976562499999,\n              40.48038142908172\n            ],\n            [\n              -71.279296875,\n              40.74725696280421\n            ],\n            [\n              -69.697265625,\n              41.0130657870063\n            ],\n            [\n              -69.2138671875,\n              41.178653972331674\n            ],\n            [\n              -69.873046875,\n              42.74701217318067\n            ],\n            [\n              -68.90625,\n              43.16512263158296\n            ],\n            [\n              -66.8408203125,\n              44.49650533109348\n            ],\n            [\n              -66.884765625,\n              45.460130637921004\n            ],\n            [\n              -67.5439453125,\n              46.558860303117164\n            ],\n            [\n              -67.939453125,\n              47.42808726171425\n            ],\n            [\n              -69.345703125,\n              47.60616304386874\n            ],\n            [\n              -71.8505859375,\n              45.336701909968134\n            ],\n            [\n              -74.92675781249999,\n              45.089035564831036\n            ],\n            [\n              -76.0693359375,\n              44.05601169578525\n            ],\n            [\n              -77.255859375,\n              43.48481212891603\n            ],\n            [\n              -79.27734374999999,\n              43.29320031385282\n            ],\n            [\n              -81.03515625,\n              42.00032514831621\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"100","issue":"10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Jackson, Stephen","contributorId":219994,"corporation":false,"usgs":true,"family":"Jackson","given":"Stephen","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":773743,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70227957,"text":"70227957 - 2019 - Characterizing urban butterfly populations: The case for purposive point-count surveys","interactions":[],"lastModifiedDate":"2022-02-02T15:35:46.073777","indexId":"70227957","displayToPublicDate":"2019-06-09T09:14:46","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3669,"text":"Urban Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing urban butterfly populations: The case for purposive point-count surveys","docAbstract":"Developing effective butterfly monitoring strategies is key to understanding how butterflies interact with urban environments, and, in turn, to developing local conservation practices. We investigated two urban habitat types (public gardens and restored/reconstructed prairies) and compared three survey methods (Pollard transects, purposive point counts, and random point counts) to determine which was most productive for detecting butterflies and assessing family diversity. We conducted 66 butterfly surveys by using each method (198 total) from May through September in 2015 and 2016 at six sites (three public gardens and three prairie areas) in Ames, Ankeny and Des Moines, Iowa. All survey methods were used on 11 sampling dates at each site. Overall, we observed 2,227 butterflies representing 38 species: 1,076 in public gardens and 1,151 in prairie areas. We used a smaller data set standardized for survey effort, including 1,361 of these sightings, to compare survey methods and habitat types. Although there were no significant differences in number of butterfly sightings between the two habitats, more sightings (798) were documented by using purposive point counts when compared to Pollard transects (297) or random point counts (266) (for both comparisons, p < 0.0001). Occupancy modeling also indicated that purposive point counts were most effective in detecting certain species of butterflies, most notably those within the Pieridae (whites, sulphurs) and Papilionidae (swallowtails). We conclude that public gardens and restored/reconstructed prairies in urban settings can provide important butterfly habitat, and that purposive point-count surveys are most effective for detecting butterflies in these relatively small-scale landscape features.","language":"English","publisher":"Springer","doi":"10.1007/s11252-019-00880-8","usgsCitation":"Lang, B.J., Dixon, P.M., Klaver, R.W., Thompson, J.R., and Widrlechner, M.P., 2019, Characterizing urban butterfly populations: The case for purposive point-count surveys: Urban Ecosystems, v. 22, https://doi.org/10.1007/s11252-019-00880-8.","productDescription":"14 p.","startPage":"1096","ipdsId":"IP-094401","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467548,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/nrem_pubs/320","text":"External 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M.","contributorId":64086,"corporation":false,"usgs":true,"family":"Dixon","given":"Philip","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":832699,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":832700,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Jan R.","contributorId":273239,"corporation":false,"usgs":false,"family":"Thompson","given":"Jan","email":"","middleInitial":"R.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":832701,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Widrlechner, Mark P.","contributorId":273241,"corporation":false,"usgs":false,"family":"Widrlechner","given":"Mark","email":"","middleInitial":"P.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":832702,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70203817,"text":"70203817 - 2019 - Geographic variation in the intensity of warming and phenological mismatch between Arctic shorebirds and invertebrates","interactions":[],"lastModifiedDate":"2019-11-13T13:22:24","indexId":"70203817","displayToPublicDate":"2019-06-08T10:09:42","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1459,"text":"Ecological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Geographic variation in the intensity of warming and phenological mismatch between Arctic shorebirds and invertebrates","docAbstract":"Responses to climate change can vary across functional groups and trophic levels, leading to a temporal decoupling of trophic interactions or ‘phenological mismatches.’ Despite a growing number of single-species studies that identified phenological mismatches as a nearly universal consequence of climate change, we have a limited understanding of the spatial variation in the intensity of this phenomenon nor what influences this variation. In this study, we tested for geographic patterns in phenological mismatches between six species of shorebirds and their invertebrate prey at ten sites spread across ~13º latitude and ~84º longitude in the Arctic over three years. At each site, we quantified the phenological mismatch between shorebirds and their invertebrate prey at: 1) an individual nest level, as the difference in days between the seasonal peak in food and the peak demand by chicks, and 2) a population level, as the overlapped area under fitted curves for total daily biomass of invertebrates and dates of the peak demand by chicks. We tested whether the intensity of past climatic change observed at each site corresponded with the extent of phenological mismatch and used Structural Equation Modeling to test for causal relationships among: 1) environmental factors, including geographic location and current climatic conditions, 2) the timing of invertebrate emergence and the breeding phenology of shorebirds, and 3) the phenological mismatch between the two trophic levels. The extent of phenological mismatch varied more among different sites than among different species within each site. A greater extent of phenological mismatch at both the individual-nest and population-levels coincided with changes in the timing of snowmelt as well as the potential dissociation of long-term snow phenology from changes in temperature. The timing of snowmelt also affected the shape of the food and demand curves, which determined the extent of phenological mismatch at the population level. Finally, we found larger mismatches at more easterly longitudes, which may be affecting the population dynamics of shorebirds, as two of our study species show regional population declines in only the eastern part of their range. This suggests that phenological mismatches may be resulting in demographic consequences for arctic-nesting birds.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecm.1383","usgsCitation":"Kwon, E., Weiser, E.L., Lanctot, R.B., Brown, S.C., Gates, H.R., Gilchrist, H.G., Kendall, S.J., David B. Lank, Joseph R. Liebezeit, McKinnon, L., Erica Nol, Payer, D.C., Rausch, J., Saalfeld, S.T., Rinella, D.J., Senner, N.R., Smith, P., Ward, D., Wissman, R.C., and Sandercock, B.K., 2019, Geographic variation in the intensity of warming and phenological mismatch between Arctic shorebirds and invertebrates: Ecological Monographs, v. 89, no. 4, e01383, https://doi.org/10.1002/ecm.1383.","productDescription":"e01383","ipdsId":"IP-068533","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":467549,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11250/2607430","text":"External Repository"},{"id":364696,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska","otherGeospatial":"North American 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,{"id":70203874,"text":"70203874 - 2019 - Inundation, flow dynamics, and damage in the 9 January 2018 Montecito Debris-Flow Event, California, USA: Opportunities and challenges for post-wildfire risk assessment","interactions":[],"lastModifiedDate":"2023-03-27T22:22:37.185745","indexId":"70203874","displayToPublicDate":"2019-06-07T14:26:34","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Inundation, flow dynamics, and damage in the 9 January 2018 Montecito Debris-Flow Event, California, USA: Opportunities and challenges for post-wildfire risk assessment","docAbstract":"Shortly before the beginning of the winter rainy season, one of the largest fires in California history (Thomas Fire) substantially increased the susceptibility of steep slopes in Santa Barbara and Ventura Counties to debris flows. On January 9, 2018, before the fire was fully contained, an intense burst of rain fell on the portion of the burn area above Montecito, CA. The rainfall and associated runoff triggered a series of debris flows that mobilized approximately 680,000 m3 of sediment (including boulders >4 m) at velocities up to 4 m/s down urbanized alluvial fans. The resulting destruction (including 23 fatalities, at least 167 injuries, and 408 damaged homes) underscores the need for improved understanding of debris-flow runout in the built environment, and the need for a comprehensive framework to assess the potential loss from debris flows following wildfire. We present observations of the inundation, debris-flow dynamics, and damage from the event. The data include field measurements of flow depth and deposit characteristics made 12 days after the event (before ephemeral features of the deposits were lost to recovery operations); an inventory of building damage; estimates of flow velocity; information on flow timing; soil-hydrologic properties; and post-event imagery and lidar. Together, these data provide rare spatial and dynamic constraints for testing debris-flow runout models, which are needed for advancing post-fire debris-flow hazard assessments. Our analysis also outlines a framework for translating the results of these models into estimates of economic loss based on an adaptation of the Federal Emergency Management Agency’s Hazus model for tsunamis.","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02048.1","usgsCitation":"Kean, J.W., Staley, D.M., Lancaster, J.T., Rengers, F.K., Swanson, B.J., Coe, J.A., Hernandez, J., Sigman, A., Allstadt, K.E., and Lindsay, D.N., 2019, Inundation, flow dynamics, and damage in the 9 January 2018 Montecito Debris-Flow Event, California, USA: Opportunities and challenges for post-wildfire risk assessment: Geosphere, v. 15, no. 4, p. 1140-1163, https://doi.org/10.1130/GES02048.1.","productDescription":"24 p.","startPage":"1140","endPage":"1163","ipdsId":"IP-104196","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":467550,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02048.1","text":"Publisher Index Page"},{"id":364793,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Montecito","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -119.67772179339622,\n              34.45555139540258\n            ],\n            [\n              -119.67772179339622,\n              34.39725512765119\n            ],\n            [\n              -119.53987106988663,\n              34.39725512765119\n            ],\n            [\n              -119.53987106988663,\n              34.45555139540258\n            ],\n            [\n              -119.67772179339622,\n              34.45555139540258\n            ]\n          ]\n        ],\n    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Center","active":true,"usgs":true}],"preferred":true,"id":764535,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lancaster, Jeremy T.","contributorId":216333,"corporation":false,"usgs":false,"family":"Lancaster","given":"Jeremy","email":"","middleInitial":"T.","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":764536,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":764537,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swanson, Brian J.","contributorId":216334,"corporation":false,"usgs":false,"family":"Swanson","given":"Brian","email":"","middleInitial":"J.","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":764538,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":764539,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hernandez, Janis","contributorId":216335,"corporation":false,"usgs":false,"family":"Hernandez","given":"Janis","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":764540,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sigman, Aaron 0000-0001-5756-4956","orcid":"https://orcid.org/0000-0001-5756-4956","contributorId":216336,"corporation":false,"usgs":true,"family":"Sigman","given":"Aaron","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":764541,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Allstadt, Kate E. 0000-0003-4977-5248 kallstadt@usgs.gov","orcid":"https://orcid.org/0000-0003-4977-5248","contributorId":167684,"corporation":false,"usgs":true,"family":"Allstadt","given":"Kate","email":"kallstadt@usgs.gov","middleInitial":"E.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":764542,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lindsay, Donald N.","contributorId":216337,"corporation":false,"usgs":false,"family":"Lindsay","given":"Donald","email":"","middleInitial":"N.","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":764543,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70205441,"text":"70205441 - 2019 - Complex response of sediment phosphorus to land use and management within a river network","interactions":[],"lastModifiedDate":"2019-09-18T17:46:57","indexId":"70205441","displayToPublicDate":"2019-06-06T17:46:47","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Complex response of sediment phosphorus to land use and management within a river network","docAbstract":"Rivers affected by anthropogenic nutrient inputs can retain some of the phosphorus (P) load through sediment retention and burial. Determining the influence of land use and management on sediment P concentrations and P retention in fluvial ecosystems is challenging because of different stressors operating at multiple spatial and temporal scales. In this study, we sought to determine how land use and management influenced sediment P concentrations and P retention within a river network draining a watershed modified by mixed land use activities; the Fox River, Wisconsin, USA.  Results show current land use had no detectable effect on sediment P concentrations, and only a small potential effect on P retention capacity. However, sites draining predominantly forested areas were associated with riverbed sediments less saturated in P, whereas sites draining mainly agricultural areas were more likely to release sediment-bound P. Current management actions, including the implementation of best management practices, had a small positive effect on P retention capacity but had no observed effect on sediment P concentrations. Our results suggest that fine riverbed sediment throughout the Fox River network is saturated with P and has the capability to release P when water column P concentrations are low. These P-saturated riverbed sediments represent a potential legacy effect of past land use disturbances on P dynamics in the Fox River network.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019JG005171","usgsCitation":"Kreiling, R.M., Thoms, M.C., Bartsch, L., Richardson, W.B., and Christensen, V.G., 2019, Complex response of sediment phosphorus to land use and management within a river network: Journal of Geophysical Research: Biogeosciences, v. 124, no. 7, p. 1764-1780, https://doi.org/10.1029/2019JG005171.","productDescription":"17 p.","startPage":"1764","endPage":"1780","ipdsId":"IP-101110","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":460361,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019jg005171","text":"Publisher Index Page"},{"id":367530,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Fox River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.62646484375,\n              43.56447158721811\n            ],\n            [\n              -87.198486328125,\n              43.56447158721811\n            ],\n            [\n              -87.198486328125,\n              45.75985868785574\n            ],\n            [\n              -89.62646484375,\n              45.75985868785574\n            ],\n            [\n              -89.62646484375,\n              43.56447158721811\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"124","issue":"7","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Kreiling, Rebecca M. 0000-0002-9295-4156","orcid":"https://orcid.org/0000-0002-9295-4156","contributorId":202193,"corporation":false,"usgs":true,"family":"Kreiling","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":771199,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thoms, Martin C. 0000-0002-8074-0476","orcid":"https://orcid.org/0000-0002-8074-0476","contributorId":145710,"corporation":false,"usgs":false,"family":"Thoms","given":"Martin","email":"","middleInitial":"C.","affiliations":[{"id":16205,"text":"Riverine Landscapes Research Laboratory, University of New England, NSW, Australia","active":true,"usgs":false}],"preferred":false,"id":771200,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bartsch, Lynn A. 0000-0002-1483-4845 lbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-1483-4845","contributorId":149360,"corporation":false,"usgs":true,"family":"Bartsch","given":"Lynn A.","email":"lbartsch@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":771202,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Richardson, William B. 0000-0002-7471-4394 wrichardson@usgs.gov","orcid":"https://orcid.org/0000-0002-7471-4394","contributorId":3277,"corporation":false,"usgs":true,"family":"Richardson","given":"William","email":"wrichardson@usgs.gov","middleInitial":"B.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":771201,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Christensen, Victoria G. 0000-0003-4166-7461 vglenn@usgs.gov","orcid":"https://orcid.org/0000-0003-4166-7461","contributorId":2354,"corporation":false,"usgs":true,"family":"Christensen","given":"Victoria","email":"vglenn@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":771203,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70203721,"text":"70203721 - 2019 - Statistical power of dynamic occupancy models to identify temporal change: Informing the North American Bat Monitoring Program","interactions":[],"lastModifiedDate":"2019-06-18T12:21:17","indexId":"70203721","displayToPublicDate":"2019-06-06T15:14:28","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Statistical power of dynamic occupancy models to identify temporal change: Informing the North American Bat Monitoring Program","docAbstract":"Dynamic occupancy models provide a flexible framework for estimating and mapping species occupancy patterns\nover space and time for large-scale monitoring programs (e.g., the North American Bat Monitoring Program\n(NABat), the Amphibian Research and Monitoring Initiative). Challenges for designing surveys using the dynamic\noccupancy modeling framework include defining appropriate derived trend parameters, and providing\nusable tools for researchers to conduct project-specific sample size investigations. We present a simulation-based\npower analysis framework for dynamic occupancy models that allows for the incorporation of the underlying\nenvironmental space (i.e., as covariates) within a specific study region to inform sample size estimation. We\ninvestigate two definitions of temporal trend: (1) a gradual, sustained (linear or nonlinear) change over a period\nof many years, and (2) an abrupt increase or decrease between two time periods. We draw upon pilot data\ncollected following NABat protocols to inform assumed data generating values in a demonstration of our approach.\nDue to the complicated parameter structure of dynamic occupancy models, we emphasize the importance\nof visualizing simulated changes over time based on different parameter settings prior to conducting a\npower analysis. Our simulations revealed that the linearity of short-term trends (five years in our investigation)\nconferred higher power with lower sample size than longer trends where occupancy probabilities approached\nzero (ten years in our investigation). We provide an example of how to use our tools to conduct customized\ninvestigations using questions posed by NABat, and in doing so, we shed light on general guidelines that can be\napplied to programs monitoring species occupancy for other taxa. Importantly, we created an R package to\nexecute our approach for informing program-, species-, and study-specific investigations aimed at identifying\nchanges in species occupancy.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2019.05.047","usgsCitation":"Banner, K., Irvine, K., Rodhouse, T.J., Donner, D.M., and Litt, A.R., 2019, Statistical power of dynamic occupancy models to identify temporal change: Informing the North American Bat Monitoring Program: Ecological Indicators, v. 105, p. 166-176, https://doi.org/10.1016/j.ecolind.2019.05.047.","productDescription":"11 p.","startPage":"166","endPage":"176","ipdsId":"IP-103005","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":460363,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://zotero.org/groups/5435545/items/2EKFYEYQ","text":"Publisher Index Page"},{"id":437428,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WHOH6D","text":"USGS data release","linkHelpText":"Online supporting information for &amp;amp;amp;quot;Statistical power of dynamic occupancy models to identify temporal change: informing the North American Bat Monitoring Program&amp;amp;amp;quot;"},{"id":364476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"105","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Banner, Katherine","contributorId":216067,"corporation":false,"usgs":false,"family":"Banner","given":"Katherine","email":"","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":763807,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irvine, Kathryn M. 0000-0002-6426-940X","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":214591,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":763806,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodhouse, Tom J","contributorId":176228,"corporation":false,"usgs":false,"family":"Rodhouse","given":"Tom","email":"","middleInitial":"J","affiliations":[],"preferred":false,"id":763808,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Donner, Deahn M.","contributorId":171823,"corporation":false,"usgs":false,"family":"Donner","given":"Deahn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":763809,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Litt, Andrea R.","contributorId":208358,"corporation":false,"usgs":false,"family":"Litt","given":"Andrea","email":"","middleInitial":"R.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":763810,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70203899,"text":"70203899 - 2019 - Operationalizing resilience and resistance concepts to address invasive grass-fire cycles","interactions":[],"lastModifiedDate":"2019-06-20T13:01:59","indexId":"70203899","displayToPublicDate":"2019-06-06T13:01:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Operationalizing resilience and resistance concepts to address invasive grass-fire cycles","docAbstract":"Plant invasions can affect fuel characteristics, fire behavior, and fire regimes resulting in invasive plant-fire cycles and alternative, self-perpetuating states that can be difficult, if not impossible, to reverse. Concepts related to general resilience to disturbance and resistance to invasive plants provide the basis for managing landscapes to increase their capacity to reorganize and adjust following fire, while concepts related to spatial resilience provide the basis for managing landscapes to conserve resources and habitats and maintain connectivity. New, spatially explicit approaches and decision-tools enable managers to understand and evaluate general and spatial resilience to fire and resistance to invasive grasses across large landscapes in arid and semi-arid shrublands and woodlands. These approaches and tools provide the capacity to locate management actions strategically to prevent development of invasive grass-fire cycles and maintain or improve resources and habitats. In this review, we discuss the factors that influence fire regimes, general and spatial resilience to fire, resistance to invasive annual grasses, and thus invasive grass-fire cycles in global arid and semi-arid shrublands and woodlands. The Cold Deserts, Mediterranean Ecoregion, and Warm Deserts of North America are used as model systems to describe how and why resilience to disturbance and resistance to invasive annuals differ over large landscapes. The Cold Deserts are used to illustrate an approach and decision tools for prioritizing areas on the landscape for management actions to prevent development of invasive grass-fire cycles and protect high value resources and habitats and for determining effective management strategies. The concepts and approach herein represent a paradigm shift in the management of these ecosystems, which allows managers to use geospatial tools to identify resilience to disturbance and resistance to invasive plants in order to target conservation and restoration actions where they will provide the greatest benefits.","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2019.00185","usgsCitation":"Chambers, J.C., Brooks, M.L., Germino, M., Maestas, J.D., Board, D.I., Jones, M.O., and Allred, B.W., 2019, Operationalizing resilience and resistance concepts to address invasive grass-fire cycles: Frontiers in Ecology and Evolution, v. 7, no. 185, https://doi.org/10.3389/fevo.2019.00185.","ipdsId":"IP-106949","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":467554,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2019.00185","text":"Publisher Index Page"},{"id":364839,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364821,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.3389/fevo.2019.00185"}],"volume":"7","issue":"185","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Chambers, Jeanne C.","contributorId":178256,"corporation":false,"usgs":false,"family":"Chambers","given":"Jeanne","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":764646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brooks, Matthew L. 0000-0002-3518-6787 mlbrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-3518-6787","contributorId":393,"corporation":false,"usgs":true,"family":"Brooks","given":"Matthew","email":"mlbrooks@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":764645,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Germino, Matthew J. 0000-0001-6326-7579 mgermino@usgs.gov","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":152582,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","email":"mgermino@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":764647,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maestas, Jeremy D","contributorId":191086,"corporation":false,"usgs":false,"family":"Maestas","given":"Jeremy","email":"","middleInitial":"D","affiliations":[],"preferred":false,"id":764648,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Board, David I","contributorId":216377,"corporation":false,"usgs":false,"family":"Board","given":"David","email":"","middleInitial":"I","affiliations":[{"id":16848,"text":"USDA Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":764649,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jones, Matthew O.","contributorId":169805,"corporation":false,"usgs":false,"family":"Jones","given":"Matthew","email":"","middleInitial":"O.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":764650,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Allred, Brady W","contributorId":216378,"corporation":false,"usgs":false,"family":"Allred","given":"Brady","email":"","middleInitial":"W","affiliations":[{"id":39397,"text":"W.A. Franke College of Forestry and Conservation University of Montana, Missoula","active":true,"usgs":false}],"preferred":false,"id":764651,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70204697,"text":"70204697 - 2019 - Estimating domestic well locations and populations served in the contiguous U.S. for years 2000 and 2010","interactions":[],"lastModifiedDate":"2019-08-09T12:10:34","indexId":"70204697","displayToPublicDate":"2019-06-06T12:02:38","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Estimating domestic well locations and populations served in the contiguous U.S. for years 2000 and 2010","docAbstract":"Domestic wells provide drinking water supply for approximately 40 million people in the United States. Knowing the location of these wells, and the populations they serve, is important for identifying heavily used aquifers, locations susceptible to contamination, and populations potentially impacted by poor-quality groundwater. The 1990 census was the last nationally consistent survey of a home’s source of water, and has not been surveyed since. This paper presents a method for projecting the population dependent on domestic wells for years after 1990, using information from the 1990 census along with population data from subsequent censuses. The method is based on the “domestic ratio” at the census block-group level, defined here as the number of households dependent on domestic wells divided by the total population.  Analysis of 1990 data (>220,000 block-groups) indicates that the domestic ratio is a function of the household density. As household density increases, the domestic ratio decreases, once a household density threshold is met. The 1990 data were used to develop a relationship between household density and the domestic ratio. The fitted model, along with household density data from 2000 and 2010, was used to estimate domestic ratios for each decadal year. In turn, the number of households dependent on domestic wells was estimated at the block-group level for 2000 and 2010. High-resolution census-block population data were used to refine the spatial distribution of domestic-well usage and to convert the data into population numbers. The results are presented in two downloadable raster datasets for each decadal year. It is estimated that the total population using domestic-well water in the contiguous U.S. increased 1.5% from 1990 to 2000 to a total of 37.25 million people and increased slightly from 2000 to 2010 to 37.29 million people.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2019.06.036","usgsCitation":"Johnson, T., Belitz, K., and Lombard, M.A., 2019, Estimating domestic well locations and populations served in the contiguous U.S. for years 2000 and 2010: Science of the Total Environment, v. 687, p. 1261-1273, https://doi.org/10.1016/j.scitotenv.2019.06.036.","productDescription":"13 p.","startPage":"1261","endPage":"1273","ipdsId":"IP-101767","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":467555,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2019.06.036","text":"Publisher Index Page"},{"id":437429,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FSLU3B","text":"USGS data release","linkHelpText":"Domestic well locations and populations served in the contiguous U.S.: datasets for decadal years 2000 and 2010"},{"id":366443,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n           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           -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","volume":"687","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Tyler D. 0000-0002-7334-9188","orcid":"https://orcid.org/0000-0002-7334-9188","contributorId":201888,"corporation":false,"usgs":true,"family":"Johnson","given":"Tyler D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":768105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belitz, Kenneth 0000-0003-4481-2345","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":201889,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":768106,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lombard, Melissa A. 0000-0001-5924-6556 mlombard@usgs.gov","orcid":"https://orcid.org/0000-0001-5924-6556","contributorId":198254,"corporation":false,"usgs":true,"family":"Lombard","given":"Melissa","email":"mlombard@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":768107,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70250179,"text":"70250179 - 2019 - The unprecedented loss of Florida's reef-building corals and the emergence of a novel coral-reef assemblage","interactions":[],"lastModifiedDate":"2023-11-27T16:53:33.19877","indexId":"70250179","displayToPublicDate":"2019-06-06T10:46:46","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The unprecedented loss of Florida's reef-building corals and the emergence of a novel coral-reef assemblage","docAbstract":"<p><span>Over the last half century, climate change, coral disease, and other anthropogenic disturbances have restructured coral-reef ecosystems on a global scale. The disproportionate loss of once-dominant, reef-building taxa has facilitated relative increases in the abundance of “weedy” or stress-tolerant coral species. Although the recent transformation of coral-reef assemblages is unprecedented on ecological timescales, determining whether modern coral reefs have truly reached a novel ecosystem state requires evaluating the dynamics of reef composition over much longer periods of time. Here, we provide a geologic perspective on the shifting composition of Florida's reefs by reconstructing the millennial-scale spatial and temporal variability in reef assemblages using 59 Holocene reef cores collected throughout the Florida Keys Reef Tract (FKRT). We then compare the relative abundances of reef-building species in the Holocene reef framework to data from contemporary reef surveys to determine how much Florida's modern reef assemblages have diverged from long-term baselines. We show that the composition of Florida's reefs was, until recently, remarkably stable over the last 8000&nbsp;yr. The same corals that have dominated shallow-water reefs throughout the western Atlantic for hundreds of thousands of years,&nbsp;</span><i>Acropora palmata</i><span>,</span><i><span>&nbsp;</span>Orbicella</i><span>&nbsp;spp., and other massive coral taxa, accounted for nearly 90% of Florida's Holocene reef framework. In contrast, the species that now have the highest relative abundances on the FKRT, primarily&nbsp;</span><i>Porites astreoides</i><span>&nbsp;and&nbsp;</span><i>Siderastrea siderea</i><span>, were rare in the reef framework, suggesting that recent shifts in species assemblages are unprecedented over millennial timescales. Although it may not be possible to return coral reefs to pre-Anthropocene states, our results suggest that coral-reef management focused on the conservation and restoration of the reef-building species of the past, will optimize efforts to preserve coral reefs, and the valuable ecosystem services they provide into the future.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.2781","usgsCitation":"Toth, L., Stathakopoulos, A., Kuffner, I.B., Ruzicka, R.R., Colella, M.A., and Shinn, E.A., 2019, The unprecedented loss of Florida's reef-building corals and the emergence of a novel coral-reef assemblage: Ecology, v. 100, no. 9, e02781, 14 p., https://doi.org/10.1002/ecy.2781.","productDescription":"e02781, 14 p.","ipdsId":"IP-104540","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467556,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.2781","text":"Publisher Index Page"},{"id":437430,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93XXXA0","text":"USGS data release","linkHelpText":"The Absolute and Relative Composition of Holocene Reef Cores From the Florida Keys Reef Tract"},{"id":422972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Florida Keys Reef Tract","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.52594320175321,\n              24.764514561822665\n            ],\n            [\n              -83.03873267817458,\n              24.764514561822665\n            ],\n            [\n              -83.08197998341461,\n              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ltoth@usgs.gov","orcid":"https://orcid.org/0000-0002-2568-802X","contributorId":181748,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren","email":"ltoth@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":888681,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stathakopoulos, Anastasios 0000-0002-4404-035X astathakopoulos@usgs.gov","orcid":"https://orcid.org/0000-0002-4404-035X","contributorId":147744,"corporation":false,"usgs":true,"family":"Stathakopoulos","given":"Anastasios","email":"astathakopoulos@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":888682,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kuffner, Ilsa B. 0000-0001-8804-7847 ikuffner@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7847","contributorId":3105,"corporation":false,"usgs":true,"family":"Kuffner","given":"Ilsa","email":"ikuffner@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":888683,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ruzicka, Robert R.","contributorId":204569,"corporation":false,"usgs":false,"family":"Ruzicka","given":"Robert","email":"","middleInitial":"R.","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":888684,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Colella, Michael A.","contributorId":139979,"corporation":false,"usgs":false,"family":"Colella","given":"Michael","email":"","middleInitial":"A.","affiliations":[{"id":13340,"text":"Fish & Wildlife Research Institute, Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":888685,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shinn, Eugene A.","contributorId":210858,"corporation":false,"usgs":false,"family":"Shinn","given":"Eugene","email":"","middleInitial":"A.","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":888686,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70203718,"text":"70203718 - 2019 - Biota dose assessment of small rodents sampled near breccia pipe uranium mines in the Grand Canyon watershed","interactions":[],"lastModifiedDate":"2019-06-07T16:35:05","indexId":"70203718","displayToPublicDate":"2019-06-06T10:16:34","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1884,"text":"Health Physics","active":true,"publicationSubtype":{"id":10}},"title":"Biota dose assessment of small rodents sampled near breccia pipe uranium mines in the Grand Canyon watershed","docAbstract":"The biotic exposure and uptake of radionuclides and potential health effects due to breccia pipe uranium mining in the Grand Canyon watershed are largely unknown. This paper describes the use of the RESRAD-BIOTA dose model to assess exposure of small rodents (n = 11) sampled at three uranium mine sites in different stages of ore production (active and postproduction). Rodent tissue and soil concentrations of naturally occurring uranium (234U, 235U, and 238U), thorium (228Th, 230Th, and 232Th), and radium (226Ra) radioisotopes were used in the dose model. The dose assessment results indicated that the potential internal, external, and total doses to rodents were below the US Department of Energy’s biota dose standard of 1 mGy d−1. As expected, tissue concentrations of 238U, 234U, and 230Th were in approximate equilibrium; however, 226Ra results in tissue were 1.25 to 5.75 times greater than 238U, 234U, and 230Th tissue results for 10 out of 11 samples. Soil at the three sites also displayed 226Ra enrichment, so it is likely that the 226Ra enrichment in the rodents was from soil via typical activities (i.e., burrowing, incidental ingestion, bathing, etc.) or by dietary uptake of translocated 226Ra. The results suggest that 226Ra is more mobile in this environment and bioaccumulates in these rodent species (e.g., in bones via the bloodstream). Internal dose accounting suggests that 226Ra is the radionuclide of most concern for rodent exposure and health.","language":"English","publisher":"Kluwer","doi":"10.1097/HP.0000000000001041","usgsCitation":"Minter, K.M., Jannik, T., Hinck, J.E., Cleveland, D.M., Kubilius, W.P., and Kuhne, W.W., 2019, Biota dose assessment of small rodents sampled near breccia pipe uranium mines in the Grand Canyon watershed: Health Physics, v. 117, no. 1, p. 20-27, https://doi.org/10.1097/HP.0000000000001041.","productDescription":"8 p.","startPage":"20","endPage":"27","ipdsId":"IP-099488","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":364427,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Grand Canyon ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.0106201171875,\n              35.70414710206052\n            ],\n            [\n              -111.50848388671875,\n              35.70414710206052\n            ],\n            [\n              -111.50848388671875,\n              36.89499795802219\n            ],\n            [\n              -114.0106201171875,\n              36.89499795802219\n            ],\n            [\n              -114.0106201171875,\n              35.70414710206052\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"117","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Minter, Kelsey M.","contributorId":216055,"corporation":false,"usgs":false,"family":"Minter","given":"Kelsey","email":"","middleInitial":"M.","affiliations":[{"id":39358,"text":"Savannah River National Laboratory, Savannah River Site, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":763784,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jannik, Timothy","contributorId":216056,"corporation":false,"usgs":false,"family":"Jannik","given":"Timothy","email":"","affiliations":[{"id":39358,"text":"Savannah River National Laboratory, Savannah River Site, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":763785,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hinck, Jo Ellen 0000-0002-4912-5766 jhinck@usgs.gov","orcid":"https://orcid.org/0000-0002-4912-5766","contributorId":2743,"corporation":false,"usgs":true,"family":"Hinck","given":"Jo","email":"jhinck@usgs.gov","middleInitial":"Ellen","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":763786,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cleveland, Danielle M. 0000-0003-3880-4584 dcleveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3880-4584","contributorId":187471,"corporation":false,"usgs":true,"family":"Cleveland","given":"Danielle","email":"dcleveland@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":763783,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kubilius, Walter P.","contributorId":216057,"corporation":false,"usgs":false,"family":"Kubilius","given":"Walter","email":"","middleInitial":"P.","affiliations":[{"id":39358,"text":"Savannah River National Laboratory, Savannah River Site, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":763787,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kuhne, Wendy W.","contributorId":216058,"corporation":false,"usgs":false,"family":"Kuhne","given":"Wendy","email":"","middleInitial":"W.","affiliations":[{"id":39358,"text":"Savannah River National Laboratory, Savannah River Site, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":763788,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70215386,"text":"70215386 - 2019 - Incorporating citizen science data in spatially explicit integrated population models","interactions":[],"lastModifiedDate":"2020-10-18T14:13:58.668729","indexId":"70215386","displayToPublicDate":"2019-06-06T09:05:04","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Incorporating citizen science data in spatially explicit integrated population models","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Information about population abundance, distribution, and demographic rates is critical for understanding a species’ ecology and for effective conservation and management. To collect data over large spatial and temporal extents for such inferences, especially for species with low densities or wide distributions, citizen science can be an efficient approach. Integrated models have also emerged as an important methodology to estimate population parameters by combining multiple types of data, including citizen science data. We developed a spatially explicit integrated model that combines opportunistically collected presence–absence (PA) data, commonly collected in citizen science efforts, with systematically collected spatial capture–recapture (SCR) data, which are often limited to small spatial and temporal extents. We conducted single and multi‐season simulations with parameters informed by North American black bear (<i>Ursus americanus</i>) populations, to evaluate the influence of varying amounts of opportunistic PA data collected at larger spatial and temporal extents on the estimation of population‐level parameters. Integrating opportunistic PA data increased the precision and accuracy of posterior estimates of abundance, and survival and recruitment rates. In some cases, adding PA locations improved abundance estimates more than increasing PA detection probability. Posterior estimates were as precise and unbiased as when higher quality, but sparse, SCR data were available. We also applied the integrated model to SCR and citizen science PA data collected on black bears in New York, with results consistent with our simulations. Our findings indicate that citizen science in integrated models can be a cost‐efficient way to improve estimates of population parameters and increase the spatiotemporal extent of inference. Continued developments with integrated models and citizen science data will offer additional ways to improve our understanding of population structure and demographics.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/ecy.2777","usgsCitation":"Sun, C., Royle, A., and Fuller, A.K., 2019, Incorporating citizen science data in spatially explicit integrated population models: Ecology, v. 100, no. 9, e02777, 12 p., https://doi.org/10.1002/ecy.2777.","productDescription":"e02777, 12 p.","ipdsId":"IP-102236","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":379493,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"100","issue":"9","noUsgsAuthors":false,"publicationDate":"2019-07-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Sun, Catherine C.","contributorId":243283,"corporation":false,"usgs":false,"family":"Sun","given":"Catherine C.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":801944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":801945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":801943,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70203679,"text":"70203679 - 2019 - Nonlinearities in transmission dynamics and efficient management of vector-borne pathogens","interactions":[],"lastModifiedDate":"2019-06-05T15:35:50","indexId":"70203679","displayToPublicDate":"2019-06-05T15:34:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Nonlinearities in transmission dynamics and efficient management of vector-borne pathogens","docAbstract":"Integrated Pest Management (IPM) is an approach to minimizing economic and environmental harm caused by pests, and Integrated Vector Management (IVM) uses similar methods to minimize pathogen transmission by vectors. The risk of acquiring a vector-borne infection is often quantified using the density of infected vectors.  The relationship between vector numbers and risk of human infection is more or less linear when both vector numbers and pathogen prevalence in vectors are low, but the relationship is nonlinear when vector density and/or infection prevalence are high.  Therefore, the density of infected vectors often does not accurately predict risk of human exposure to pathogens, and traditional estimates of % Control often overestimate the level of protection from infection resulting from management programs.  We suggest a modified estimator, % Protection, which more accurately quantifies protection against human infection resulting from a management intervention.  Cost-effectiveness of a management program is critical to protection of both public health and the environment, because the more efficiently available resources and funding are used, the fewer people get sick, and well-targeted efficient management programs minimize the need for poorly-targeted, expensive environmental interventions (e.g., broadscale pesticide applications) that tend to damage nontarget organisms and natural systems.  Design of an efficient, cost-effective IVM program requires knowledge of the cost-effectiveness functions (the effectiveness of control methods at lowering vector bites and/or infection prevalence with different levels of application) of the various control methods to be applied.  Alternative programs can be designed that optimize % Protection by integrating different control methods at different levels of investment, and environmental effects of these alternatives can be compared, allowing environmental considerations to be included explicitly in the decision process.  IPM, IVM, and Adaptive Management share the characteristic that management decisions must be made with incomplete knowledge of the functioning of natural systems or the efficacies of interventions.  IVM surveillance programs that assess the effects of individual control methods and of combinations of control methods on the numbers of vector bites and on infection prevalence in vectors, can increase knowledge of pathogen transmission dynamics and provide information to improve program effectiveness in subsequent applications.","language":"English","publisher":"ESA","doi":"10.1002/eap.1892","usgsCitation":"Ginsberg, H., and Couret, J., 2019, Nonlinearities in transmission dynamics and efficient management of vector-borne pathogens: Ecological Applications, v. 29, no. 4, p. 1-14, https://doi.org/10.1002/eap.1892.","productDescription":"e01892, 14 p.","startPage":"1","endPage":"14","ipdsId":"IP-097265","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":490059,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.uri.edu/pls_facpubs/137","text":"External Repository"},{"id":364395,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364297,"type":{"id":15,"text":"Index Page"},"url":"https://esajournals.onlinelibrary.wiley.com/doi/10.1002/eap.1892"}],"volume":"29","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Ginsberg, Howard S. 0000-0002-4933-2466 hginsberg@usgs.gov","orcid":"https://orcid.org/0000-0002-4933-2466","contributorId":147665,"corporation":false,"usgs":true,"family":"Ginsberg","given":"Howard S.","email":"hginsberg@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":763577,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Couret, Jannelle","contributorId":215979,"corporation":false,"usgs":false,"family":"Couret","given":"Jannelle","email":"","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":763578,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70203692,"text":"70203692 - 2019 - Genetic tagging in the Anthropocene: Scaling ecology from alleles to ecosystems","interactions":[],"lastModifiedDate":"2019-06-05T14:33:43","indexId":"70203692","displayToPublicDate":"2019-06-05T14:33:17","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Genetic tagging in the Anthropocene: Scaling ecology from alleles to ecosystems","docAbstract":"The Anthropocene is an era of marked human impact on the world. Quantifying these impacts 51 has become central to understanding the dynamics of coupled human-natural systems, resource52 dependent livelihoods, and biodiversity conservation. Ecologists are facing growing pressure to 53 quantify the size, distribution, and trajectory of wild populations in a cost-effective and socially54 acceptable manner. Genetic tagging, combined with modern computational and genetic analyses, 55 is an under-utilized tool to meet this demand, especially for wide-ranging, elusive, sensitive, and 56 low-density species. Genetic tagging studies are now revealing unprecedented insight into the 57 mechanisms that control the density, trajectory, connectivity and human-wildlife conflict for 58 populations over vast spatial scales. Here we outline the application of, and ecological inferences 59 from, new analytical techniques applied to genetically-tagged individuals, contrast this approach 60 with conventional methods, and describe how genetic tagging can be better applied to address 61 outstanding questions in ecology. We provide example analyses using a long-term genetic 62 tagging dataset of grizzly bears in the Canadian Rockies. The genetic tagging toolbox is a 63 powerful and overlooked ensemble that ecologists and conservation biologists can leverage to 64 generate evidence and meet the challenges of the Anthropocene.","language":"English","publisher":"ESA","doi":"10.1002/eap.1876","usgsCitation":"Lamb, C.T., Ford, A.T., Michael Proctor, Royle, A., and Mowat, G., 2019, Genetic tagging in the Anthropocene: Scaling ecology from alleles to ecosystems: Ecological Applications, v. 29, no. 4, p. 1-17, https://doi.org/10.1002/eap.1876.","productDescription":"e01876, 17 p.","startPage":"1","endPage":"17","ipdsId":"IP-104890","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467557,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.1876","text":"Publisher Index Page"},{"id":364381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364312,"type":{"id":15,"text":"Index Page"},"url":"https://esajournals.onlinelibrary.wiley.com/doi/10.1002/eap.1876"}],"volume":"29","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Lamb, Clayton T.","contributorId":216009,"corporation":false,"usgs":false,"family":"Lamb","given":"Clayton","email":"","middleInitial":"T.","affiliations":[{"id":36696,"text":"University of Alberta","active":true,"usgs":false}],"preferred":false,"id":763639,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ford, Adam T","contributorId":216010,"corporation":false,"usgs":false,"family":"Ford","given":"Adam","email":"","middleInitial":"T","affiliations":[{"id":39350,"text":"Univ Alberta","active":true,"usgs":false}],"preferred":false,"id":763640,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Michael Proctor","contributorId":216011,"corporation":false,"usgs":false,"family":"Michael Proctor","affiliations":[{"id":39351,"text":"Birchdale Ecological Ltd","active":true,"usgs":false}],"preferred":false,"id":763641,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":763638,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mowat, Garth","contributorId":216012,"corporation":false,"usgs":false,"family":"Mowat","given":"Garth","email":"","affiliations":[{"id":13452,"text":"Univ. British Columbia","active":true,"usgs":false}],"preferred":false,"id":763642,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70203703,"text":"70203703 - 2019 - Effect of amphibian chytrid fungus (Batrachochytrium dendrobatidis) on apparent survival of frogs and toads in the western USA","interactions":[],"lastModifiedDate":"2023-06-23T14:30:49.159198","indexId":"70203703","displayToPublicDate":"2019-06-05T14:20:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Effect of amphibian chytrid fungus (<i>Batrachochytrium dendrobatidis</i>) on apparent survival of frogs and toads in the western USA","title":"Effect of amphibian chytrid fungus (Batrachochytrium dendrobatidis) on apparent survival of frogs and toads in the western USA","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0045\">Despite increasing interest in determining the population-level effects of emerging infectious diseases on wildlife, estimating effects of disease on survival rates remains difficult. Even for a well-studied disease such as amphibian chytridiomycosis (caused by the fungus<span>&nbsp;</span><i>Batrachochytrium dendrobatidis</i><span>&nbsp;</span>[Bd]), there are few estimates of how survival of wild hosts is affected. We applied hierarchical models to long-term capture-mark-recapture data (mean = 10.6 yrs, range = 6–15 yrs) from &gt;5500 uniquely-marked individuals to estimate the effect of Bd on apparent survival of four threatened or endangered ranid frog species (<i>Rana draytonii</i>,<span>&nbsp;</span><i>R. muscosa</i>,<span>&nbsp;</span><i>R. pretiosa</i>,<span>&nbsp;</span><i>R. sierrae</i>) at 14 study sites in California and Oregon (USA) and one bufonid toad (<i>Anaxyrus boreas</i>) at two study sites in Wyoming and Montana. Our models indicated that the presence of Bd on an individual reduced apparent survival of ranid frogs by ~6–15% depending on species and sex. The estimated difference between toads with and without Bd was 19% for the Montana population and 55% for the Wyoming population; however, the 95% Credible Interval of these estimates included zero. These results provide evidence for negative effects of Bd on survival in wild populations even in the absence of obvious die-offs. Determining what factors influence the magnitude of the effects of Bd on wildlife populations is an important next step toward identifying management actions. These estimates of Bd effects are important for understanding the extent and severity of disease, whether disease effects have changed over time, and for informing management actions.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2019.05.017","usgsCitation":"Russell, R.E., Halstead, B., Mosher, B., Muths, E.L., Adams, M.J., Campbell Grant, E.H., Fisher, R.N., Kleeman, P.M., Backlin, A.R., Pearl, C., Honeycutt, R.K., and Hossack, B.R., 2019, Effect of amphibian chytrid fungus (Batrachochytrium dendrobatidis) on apparent survival of frogs and toads in the western USA: Biological Conservation, v. 236, p. 296-304, https://doi.org/10.1016/j.biocon.2019.05.017.","productDescription":"9 p., Data release","startPage":"296","endPage":"304","ipdsId":"IP-102082","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science 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,{"id":70203932,"text":"70203932 - 2019 - Habitat preference modulates trans-oceanic dispersal in a terrestrial vertebrate","interactions":[],"lastModifiedDate":"2019-06-25T09:26:01","indexId":"70203932","displayToPublicDate":"2019-06-05T09:25:46","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3174,"text":"Proceedings of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Habitat preference modulates trans-oceanic dispersal in a terrestrial vertebrate","docAbstract":"<p><span>The importance of long-distance dispersal (LDD) in shaping geographical distributions has been debated since the nineteenth century. In terrestrial vertebrates, LDD events across large water bodies are considered highly improbable, but organismal traits affecting dispersal capacity are generally not taken into account. Here, we focus on a recent lizard radiation and combine a summary-coalescent species tree based on 1225 exons with a probabilistic model that links dispersal capacity to an evolving trait, to investigate whether ecological specialization has influenced the probability of trans-oceanic dispersal.&nbsp;</span><i>Cryptoblepharus</i><span>&nbsp;species that occur in coastal habitats have on average dispersed 13 to 14 times more frequently than non-coastal species and coastal specialization has, therefore, led to an extraordinarily widespread distribution that includes multiple continents and distant island archipelagoes. Furthermore, their presence across the Pacific substantially predates the age of human colonization and we can explicitly reject the possibility that these patterns are solely shaped by human-mediated dispersal. Overall, by combining new analytical methods with a comprehensive phylogenomic dataset, we use a quantitative framework to show how coastal specialization can influence dispersal capacity and eventually shape geographical distributions at a macroevolutionary scale.</span></p>","language":"English","publisher":"Royal Society","doi":"10.1098/rspb.2018.2575","usgsCitation":"Blom, M.P., Matzke, N.J., Bragg, J., Arida, E., Austin, C.C., Backlin, A.R., Carretero, M.A., Fisher, R.N., Glaw, F., Hathaway, S.A., Iskandar, D.T., McGuire, J.A., Karin, B.R., Reilly, S.B., Rittmeyer, E.N., Rocha, S., Sanchez, M., Stubbs, A.L., Vences, M., and Moritz, C., 2019, Habitat preference modulates trans-oceanic dispersal in a terrestrial vertebrate: Proceedings of the Royal Society B: Biological Sciences, v. 286, no. 1904, 20182575 , https://doi.org/10.1098/rspb.2018.2575.","productDescription":"20182575 ","ipdsId":"IP-104974","costCenters":[{"id":651,"text":"Western Ecological Research 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,{"id":70205957,"text":"70205957 - 2019 - The development and delivery of species distribution models to inform decision-making","interactions":[],"lastModifiedDate":"2019-10-14T06:54:31","indexId":"70205957","displayToPublicDate":"2019-06-05T06:53:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"The development and delivery of species distribution models to inform decision-making","docAbstract":"Information on where species occur is central to conservation and management decisions, but knowledge of distributions can be coarse or incomplete. Species distribution models provide a tool for mapping suitable habitat, and can produce credible, defensible, and repeatable predictive information with which to inform decisions. However, these models are sensitive to data inputs and methodological choices, making it important to assess the reliability and utility of model predictions. We provide a rubric that model developers can use to communicate a model’s attributes and its appropriate uses. We emphasize the importance of tailoring model development and delivery to the species of interest and the intended use, and the advantages of iterative modeling and validation. We highlight how species distribution models have been used to design surveys for new populations, prioritize actions across space, and support regulatory decision-making and compliance, tying these examples back to our rubric.","language":"English","publisher":"Oxford academic","doi":"10.1093/biosci/biz045","usgsCitation":"Sofaer, H., Jarnevich, C.S., Pearse, I.S., Smyth, R.L., Auer, S., L, C.G., Edwards, T., Guala, G.F., Howard, T.G., Morisette, J., and Hamilton, H., 2019, The development and delivery of species distribution models to inform decision-making: BioScience, v. 69, no. 7, p. 544-557, https://doi.org/10.1093/biosci/biz045.","productDescription":"14 p.","startPage":"544","endPage":"557","ipdsId":"IP-097200","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467560,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/biz045","text":"Publisher Index Page"},{"id":368291,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"69","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Sofaer, Helen R. 0000-0002-9450-5223","orcid":"https://orcid.org/0000-0002-9450-5223","contributorId":216681,"corporation":false,"usgs":true,"family":"Sofaer","given":"Helen","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":773039,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":773040,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":216680,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":773041,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smyth, Regan L","contributorId":219729,"corporation":false,"usgs":false,"family":"Smyth","given":"Regan","email":"","middleInitial":"L","affiliations":[{"id":17658,"text":"NatureServe","active":true,"usgs":false}],"preferred":false,"id":773042,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Auer, Stephanie","contributorId":219730,"corporation":false,"usgs":false,"family":"Auer","given":"Stephanie","email":"","affiliations":[],"preferred":false,"id":773043,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"L, Cook Gericke","contributorId":219731,"corporation":false,"usgs":false,"family":"L","given":"Cook","email":"","middleInitial":"Gericke","affiliations":[{"id":37295,"text":"USDA APHIS","active":true,"usgs":false}],"preferred":false,"id":773044,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Edwards, Thomas C. 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