{"pageNumber":"158","pageRowStart":"3925","pageSize":"25","recordCount":10458,"records":[{"id":70045395,"text":"70045395 - 2014 - Techniques for capturing bighorn sheep lambs","interactions":[],"lastModifiedDate":"2017-02-24T15:02:12","indexId":"70045395","displayToPublicDate":"2013-10-26T08:22:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Techniques for capturing bighorn sheep lambs","docAbstract":"Low lamb recruitment is a major challenge facing managers attempting to mitigate the decline of bighorn sheep (<i>Ovis canadensis</i>), and investigations into the underlying mechanisms are limited because of the inability to readily capture and monitor bighorn sheep lambs. We evaluated 4 capture techniques for bighorn sheep lambs: 1) hand-capture of lambs from radiocollared adult females fitted with vaginal implant transmitters (VITs), 2) hand-capture of lambs of intensively monitored radiocollared adult females, 3) helicopter net-gunning, and 4) hand-capture of lambs from helicopters. During 2010–2012, we successfully captured 90% of lambs from females that retained VITs to ≤1 day of parturition, although we noted differences in capture rates between an area of high road density in the Black Hills (92–100%) of South Dakota, USA, and less accessible areas of New Mexico (71%), USA. Retention of VITs was 78% with pre-partum expulsion the main cause of failure. We were less likely to capture lambs from females that expelled VITs ≥1 day of parturition (range = 80–83%) or females that were collared without VITs (range = 60–78%). We used helicopter net-gunning at several sites in 1999, 2001–2002, and 2011, and it proved a useful technique; however, at one site, attempts to capture lambs led to lamb predation by golden eagles (<i>Aquila chrysaetos</i>). We attempted helicopter hand-captures at one site in 1999, and they also were successful in certain circumstances and avoided risk of physical trauma from net-gunning; however, application was limited. In areas of low accessibility or if personnel lack the ability to monitor females and/or VITs for extended periods, helicopter capture may provide a viable option for lamb capture.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wildlife Society Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.360","usgsCitation":"Smith, J.B., Walsh, D.P., Goldstein, E., Parsons, Z.D., Karsch, R., Stiver, J.R., Cain, J.W., Raedeke, K.J., and Jenks, J., 2014, Techniques for capturing bighorn sheep lambs: Wildlife Society Bulletin, v. 31, no. 1, p. 165-174, https://doi.org/10.1002/wsb.360.","productDescription":"10 p.","startPage":"165","endPage":"174","numberOfPages":"10","ipdsId":"IP-042867","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":471,"text":"New Mexico Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":500037,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/7aebda216b99449a8afec7eeda75612d","text":"External Repository"},{"id":280949,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280948,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wsb.360"}],"country":"United States","state":"Colorado;New Mexico;South Dakota","otherGeospatial":"Black Hills;Pikes Peak;Peloncillo Mountains","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.03,31.2 ], [ -109.03,45.95 ], [ -102.0,45.95 ], [ -102.0,31.2 ], [ -109.03,31.2 ] ] ] } } ] }","volume":"31","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-10-26","publicationStatus":"PW","scienceBaseUri":"53559598e4b0120853e8c241","contributors":{"authors":[{"text":"Smith, Joshua B.","contributorId":71883,"corporation":false,"usgs":true,"family":"Smith","given":"Joshua","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":477358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walsh, Daniel P. 0000-0002-7772-2445 dwalsh@usgs.gov","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":4758,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"dwalsh@usgs.gov","middleInitial":"P.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":477352,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldstein, Elise J.","contributorId":32825,"corporation":false,"usgs":true,"family":"Goldstein","given":"Elise J.","affiliations":[],"preferred":false,"id":477355,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parsons, Zachary D.","contributorId":30143,"corporation":false,"usgs":true,"family":"Parsons","given":"Zachary","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":477354,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Karsch, Rebekah C.","contributorId":64159,"corporation":false,"usgs":true,"family":"Karsch","given":"Rebekah C.","affiliations":[],"preferred":false,"id":477357,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stiver, Julie R.","contributorId":78244,"corporation":false,"usgs":true,"family":"Stiver","given":"Julie","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":477359,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":477351,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Raedeke, Kenneth J.","contributorId":29378,"corporation":false,"usgs":true,"family":"Raedeke","given":"Kenneth","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":477353,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jenks, Jonathan A.","contributorId":51591,"corporation":false,"usgs":true,"family":"Jenks","given":"Jonathan A.","affiliations":[],"preferred":false,"id":477356,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70048557,"text":"70048557 - 2014 - The roles of competition and habitat in the dynamics of populations and species distributions","interactions":[],"lastModifiedDate":"2014-02-24T10:50:35","indexId":"70048557","displayToPublicDate":"2013-10-23T09:35:00","publicationYear":"2014","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 roles of competition and habitat in the dynamics of populations and species distributions","docAbstract":"<p>The role of competition in structuring biotic communities at fine spatial scales is well known from detailed process-based studies. Our understanding of competition's importance at broader scales is less resolved and mainly based on static species distribution maps. Here, we bridge this gap by examining the joint occupancy dynamics of an invading (barred owl: Strix varia) and a resident species (Northern spotted owl: Strix occidentalis caurina) in a 1000 km2 study area over a 22 - year period. Past studies of these competitors have focused on the dynamics of one species at a time, hindering efforts to parse out the roles of habitat and competition and to forecast the future of the resident species. In addition, while these studies accounted for the imperfect detection of the focal species, no multiseason analysis of these species has accounted for the imperfect detection of the secondary species, potentially biasing inference. We analyze survey data using models that combine the general multistate-multiseason occupancy modeling framework with autologistic modeling - allowing us to account for important aspects of our study system.</p>\n<br/>\n<p>We find that local extinction probability increases for each species when the other is present; however, the effect of the invader on the resident is greater. Although the species prefer different habitats, these habitats are highly correlated at the patch scale and the impacts of invader on the resident are greatest in patches that would otherwise be optimal. As a consequence, competition leads to a weaker relationship between habitat and Northern spotted owl occupancy. Colonization and extinction rates of the invader are closely related to neighborhood occupancy, and over the first half of the study the availability of colonists limited the rate of population growth. Competition is likely to exclude the resident species both through its immediate effects on local extinction, and by indirectly lowering colonization rates as Northern spotted owl occupancy declines. Our analysis suggests that dispersal limitation affects both the invasion dynamics and the scale at which the effects of competition are observed. We also provide predictions regarding the potential costs and benefits of managing barred owl populations at different target levels.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/13-0012.1","usgsCitation":"Yackulic, C.B., Reid, J., Nichols, J., Hines, J., Davis, R., and Forsman, E., 2014, The roles of competition and habitat in the dynamics of populations and species distributions: Ecology, v. 95, no. 2, p. 265-279, https://doi.org/10.1890/13-0012.1.","productDescription":"15 p.","startPage":"265","endPage":"279","numberOfPages":"15","ipdsId":"IP-051859","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":278343,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278342,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/13-0012.1"}],"country":"United States","state":"Oregon","volume":"95","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5268e1cfe4b0584cbe916841","contributors":{"authors":[{"text":"Yackulic, Charles Brandon","contributorId":63300,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"","middleInitial":"Brandon","affiliations":[],"preferred":false,"id":485074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reid, Janice","contributorId":89391,"corporation":false,"usgs":false,"family":"Reid","given":"Janice","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":485075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":405,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":485071,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hines, James E. jhines@usgs.gov","contributorId":3506,"corporation":false,"usgs":true,"family":"Hines","given":"James E.","email":"jhines@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":485072,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davis, Raymond","contributorId":91349,"corporation":false,"usgs":true,"family":"Davis","given":"Raymond","affiliations":[],"preferred":false,"id":485076,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Forsman, Eric","contributorId":28470,"corporation":false,"usgs":true,"family":"Forsman","given":"Eric","affiliations":[],"preferred":false,"id":485073,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70048518,"text":"70048518 - 2014 - Net ecosystem productivity of temperate grasslands in northern China: An upscaling study","interactions":[],"lastModifiedDate":"2013-10-18T14:11:57","indexId":"70048518","displayToPublicDate":"2013-10-18T14:02:35","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":681,"text":"Agricultural and Forest Meteorology","active":true,"publicationSubtype":{"id":10}},"title":"Net ecosystem productivity of temperate grasslands in northern China: An upscaling study","docAbstract":"Grassland is one of the widespread biome types globally, and plays an important role in the terrestrial carbon cycle. We examined net ecosystem production (NEP) for the temperate grasslands in northern China from 2000 to 2010. We combined flux observations, satellite data, and climate data to develop a piecewise regression model for NEP, and then used the model to map NEP for grasslands in northern China. Over the growing season, the northern China's grassland had a net carbon uptake of 158 ± 25 g C m<sup>−2</sup> during 2000–2010 with the mean regional NEP estimate of 126 Tg C. Our results showed generally higher grassland NEP at high latitudes (northeast) than at low latitudes (central and west) because of different grassland types and environmental conditions. In the northeast, which is dominated by meadow steppes, the growing season NEP generally reached 200–300 g C m<sup>−2</sup>. In the southwest corner of the region, which is partially occupied by alpine meadow systems, the growing season NEP also reached 200–300 g C m<sup>−2</sup>. In the central part, which is dominated by typical steppe systems, the growing season NEP generally varied in the range of 100–200 g C m−2. The NEP of the northern China's grasslands was highly variable through years, ranging from 129 (2001) to 217 g C m<sup>−2</sup> growing season<sup>−1</sup> (2010). The large interannual variations of NEP could be attributed to the sensitivity of temperate grasslands to climate changes and extreme climatic events. The droughts in 2000, 2001, and 2006 reduced the carbon uptake over the growing season by 11%, 29%, and 16% relative to the long-term (2000–2010) mean. Over the study period (2000–2010), precipitation was significantly correlated with NEP for the growing season (R<sup>2</sup> = 0.35, p-value < 0.1), indicating that water availability is an important stressor for the productivity of the temperate grasslands in semi-arid and arid regions in northern China. We conclude that northern temperate grasslands have the potential to sequester carbon, but the capacity of carbon sequestration depends on grassland types and environmental conditions. Extreme climate events like drought can significantly reduce the net carbon uptake of grasslands.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Agricultural and Forest Meteorology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.agrformet.2013.09.004","usgsCitation":"Zhang, L., Guo, H., Jia, G., Wylie, B., Gilmanov, T., Howard, D., Ji, L., Xiao, J., Li, J., Yuan, W., Zhao, T., Chen, S., Zhou, G., and Kato, T., 2014, Net ecosystem productivity of temperate grasslands in northern China: An upscaling study: Agricultural and Forest Meteorology, v. 184, p. 71-81, https://doi.org/10.1016/j.agrformet.2013.09.004.","productDescription":"11 p.","startPage":"71","endPage":"81","ipdsId":"IP-051428","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":278275,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278274,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.agrformet.2013.09.004"}],"country":"China","otherGeospatial":"Inner Mongolia;Gansu;And Ningxia Provinces","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 0.0025,8.333333333333334E-4 ], [ 0.0025,0.001388888888888889 ], [ 0.017222222222222222,0.001388888888888889 ], [ 0.017222222222222222,8.333333333333334E-4 ], [ 0.0025,8.333333333333334E-4 ] ] ] } } ] }","volume":"184","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52624a68e4b079a99629a0e5","contributors":{"authors":[{"text":"Zhang, Li","contributorId":98139,"corporation":false,"usgs":true,"family":"Zhang","given":"Li","affiliations":[],"preferred":false,"id":484929,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guo, Huadong","contributorId":21056,"corporation":false,"usgs":true,"family":"Guo","given":"Huadong","email":"","affiliations":[],"preferred":false,"id":484922,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jia, Gensuo","contributorId":64545,"corporation":false,"usgs":true,"family":"Jia","given":"Gensuo","affiliations":[],"preferred":false,"id":484925,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wylie, Bruce 0000-0002-7374-1083","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":107996,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","affiliations":[],"preferred":false,"id":484931,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gilmanov, Tagir","contributorId":6351,"corporation":false,"usgs":true,"family":"Gilmanov","given":"Tagir","affiliations":[],"preferred":false,"id":484920,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Howard, Daniel M. 0000-0002-7563-7538 dhoward@usgs.gov","orcid":"https://orcid.org/0000-0002-7563-7538","contributorId":4431,"corporation":false,"usgs":true,"family":"Howard","given":"Daniel M.","email":"dhoward@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":484919,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ji, Lei 0000-0002-6133-1036 lji@usgs.gov","orcid":"https://orcid.org/0000-0002-6133-1036","contributorId":2832,"corporation":false,"usgs":true,"family":"Ji","given":"Lei","email":"lji@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":484918,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Xiao, Jingfeng","contributorId":66998,"corporation":false,"usgs":true,"family":"Xiao","given":"Jingfeng","email":"","affiliations":[],"preferred":false,"id":484926,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Li, Jing","contributorId":9166,"corporation":false,"usgs":true,"family":"Li","given":"Jing","email":"","affiliations":[],"preferred":false,"id":484921,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Yuan, Wenping","contributorId":83435,"corporation":false,"usgs":true,"family":"Yuan","given":"Wenping","email":"","affiliations":[],"preferred":false,"id":484927,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zhao, Tianbao","contributorId":103557,"corporation":false,"usgs":true,"family":"Zhao","given":"Tianbao","email":"","affiliations":[],"preferred":false,"id":484930,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Chen, Shiping","contributorId":53277,"corporation":false,"usgs":true,"family":"Chen","given":"Shiping","email":"","affiliations":[],"preferred":false,"id":484924,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Zhou, Guangsheng","contributorId":96575,"corporation":false,"usgs":true,"family":"Zhou","given":"Guangsheng","email":"","affiliations":[],"preferred":false,"id":484928,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Kato, Tomomichi","contributorId":36040,"corporation":false,"usgs":true,"family":"Kato","given":"Tomomichi","email":"","affiliations":[],"preferred":false,"id":484923,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70056316,"text":"70056316 - 2014 - Relative significance of microtopography and vegetation as controls on surface water flow on a low-gradient floodplain","interactions":[],"lastModifiedDate":"2014-02-03T11:16:52","indexId":"70056316","displayToPublicDate":"2013-10-01T12:55:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Relative significance of microtopography and vegetation as controls on surface water flow on a low-gradient floodplain","docAbstract":"Surface water flow controls water velocities, water depths, and residence times, and influences sediment and nutrient transport and other ecological processes in shallow aquatic systems. Flow through wetlands is substantially influenced by drag on vegetation stems but is also affected by microtopography. Our goal was to use microtopography data directly in a widely used wetland model while retaining the advantages of the model’s one-dimensional structure. The base simulation with no explicit treatment of microtopography only performed well for a period of high water when vegetation dominated flow resistance. Extended simulations using microtopography can improve the fit to low-water conditions substantially. The best fit simulation had a flow conductance parameter that decreased in value by 70 % during dry season such that mcrotopographic features blocked 40 % of the cross sectional width for flow. Modeled surface water became ponded and flow ceased when 85 % of the cross sectional width became blocked by microtopographic features. We conclude that vegetation drag dominates wetland flow resistance at higher water levels and microtopography dominates at low water levels with the threshold delineated by the top of microtopographic features. Our results support the practicality of predicting flow on floodplains using relatively easily measured physical and biological variables.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wetlands","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s13157-013-0489-7","usgsCitation":"Choi, J., and Harvey, J.W., 2014, Relative significance of microtopography and vegetation as controls on surface water flow on a low-gradient floodplain: Wetlands, v. 34, no. 1, p. 101-115, https://doi.org/10.1007/s13157-013-0489-7.","productDescription":"15 p.","startPage":"101","endPage":"115","numberOfPages":"15","onlineOnly":"Y","ipdsId":"IP-051999","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":279178,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279165,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s13157-013-0489-7"}],"country":"United States","state":"Florida","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.75,25.5 ], [ -80.75,26.5 ], [ -80.25,26.5 ], [ -80.25,25.5 ], [ -80.75,25.5 ] ] ] } } ] }","volume":"34","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-10-25","publicationStatus":"PW","scienceBaseUri":"528c96b9e4b0c629af44ddfb","contributors":{"authors":[{"text":"Choi, Jungyill","contributorId":70792,"corporation":false,"usgs":true,"family":"Choi","given":"Jungyill","email":"","affiliations":[],"preferred":false,"id":486522,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":486521,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047589,"text":"70047589 - 2014 - Improvement of the R-SWAT-FME framework to support multiple variables and multi-objective functions","interactions":[],"lastModifiedDate":"2013-08-26T11:43:19","indexId":"70047589","displayToPublicDate":"2013-08-13T13:24:00","publicationYear":"2014","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":"Improvement of the R-SWAT-FME framework to support multiple variables and multi-objective functions","docAbstract":"Application of numerical models is a common practice in the environmental field for investigation and prediction of natural and anthropogenic processes. However, process knowledge, parameter identifiability, sensitivity, and uncertainty analyses are still a challenge for large and complex mathematical models such as the hydrological/water quality model, Soil and Water Assessment Tool (SWAT). In this study, the previously developed R program language-SWAT-Flexible Modeling Environment (R-SWAT-FME) was improved to support multiple model variables and objectives at multiple time steps (i.e., daily, monthly, and annually). This expansion is significant because there is usually more than one variable (e.g., water, nutrients, and pesticides) of interest for environmental models like SWAT. To further facilitate its easy use, we also simplified its application requirements without compromising its merits, such as the user-friendly interface. To evaluate the performance of the improved framework, we used a case study focusing on both streamflow and nitrate nitrogen in the Upper Iowa River Basin (above Marengo) in the United States. Results indicated that the R-SWAT-FME performs well and is comparable to the built-in auto-calibration tool in multi-objective model calibration. Overall, the enhanced R-SWAT-FME can be useful for the SWAT community, and the methods we used can also be valuable for wrapping potential R packages with other environmental models.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.07.048","usgsCitation":"Wu, Y., and Liu, S., 2014, Improvement of the R-SWAT-FME framework to support multiple variables and multi-objective functions: Science of the Total Environment, v. 466-467, p. 455-466, https://doi.org/10.1016/j.scitotenv.2013.07.048.","productDescription":"12 p.","startPage":"455","endPage":"466","ipdsId":"IP-044026","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":276578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276577,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.07.048"}],"volume":"466-467","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"520b81eee4b0d6ca46067dac","contributors":{"authors":[{"text":"Wu, Yiping ywu@usgs.gov","contributorId":987,"corporation":false,"usgs":true,"family":"Wu","given":"Yiping","email":"ywu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":482475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Shu-Guang sliu@usgs.gov","contributorId":984,"corporation":false,"usgs":true,"family":"Liu","given":"Shu-Guang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":482474,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70073493,"text":"70073493 - 2014 - Influence of sex, migration distance, and latitude on life history expression in steelhead and rainbow trout<i> (Oncorhynchus mykiss)</i>","interactions":[],"lastModifiedDate":"2014-01-21T12:47:40","indexId":"70073493","displayToPublicDate":"2013-01-15T11:53:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Influence of sex, migration distance, and latitude on life history expression in steelhead and rainbow trout<i> (Oncorhynchus mykiss)</i>","docAbstract":"Abstract:In partially migratory species, such as Oncorhynchus mykiss, the emergence of life history phenotypes is often attributed to fitness trade-offs associated with growth and survival. Fitness trade-offs can be linked to reproductive tactics that vary between the sexes, as well as the influence of environmental conditions. We found that O. my kiss outmigrants are more likely to be female in nine populations throughout western North America (grand mean 65% female), in support of the hypothesis that anadromy is more likely to benefit females. This bias was not related to migration distance or freshwater productivity, as indicated by latitude. Within one O. my kiss population we also measured the resident sex ratio and did not observe a male bias, despite a high female bias among out migrants in that system. We provide a simulation to demonstrate the relationship between sex ratios and\nthe proportion of anadromy and show how sex ratios could be a valuable tool for predicting the prevalence of life history types in a population.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Fisheries and Aquatic Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2013-0274","usgsCitation":"Ohms, H.A., Sloat, M.R., Reeves, G.H., Jordan, C.E., and Dunham, J., 2014, Influence of sex, migration distance, and latitude on life history expression in steelhead and rainbow trout<i> (Oncorhynchus mykiss)</i>: Canadian Journal of Fisheries and Aquatic Sciences, v. 71, no. 1, p. 70-80, https://doi.org/10.1139/cjfas-2013-0274.","productDescription":"11 p.","startPage":"70","endPage":"80","ipdsId":"IP-051502","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":281237,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/cjfas-2013-0274"},{"id":281323,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada;United States","state":"California;Idaho;Oregon;Washington","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -133.68,39.01 ], [ -133.68,55.94 ], [ -112.63,55.94 ], [ -112.63,39.01 ], [ -133.68,39.01 ] ] ] } } ] }","volume":"71","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd628ee4b0b290850fe3f4","contributors":{"authors":[{"text":"Ohms, Haley A.","contributorId":107192,"corporation":false,"usgs":true,"family":"Ohms","given":"Haley","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":488810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sloat, Matthew R.","contributorId":60951,"corporation":false,"usgs":true,"family":"Sloat","given":"Matthew","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":488807,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reeves, Gordon H.","contributorId":101521,"corporation":false,"usgs":false,"family":"Reeves","given":"Gordon","email":"","middleInitial":"H.","affiliations":[{"id":527,"text":"Pacific Northwest Research Station","active":false,"usgs":true}],"preferred":false,"id":488809,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jordan, Chris E.","contributorId":88233,"corporation":false,"usgs":true,"family":"Jordan","given":"Chris","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":488808,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":1808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason B.","email":"jdunham@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":488806,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192404,"text":"70192404 - 2014 - Macroinvertebrate community change associated with the severity of streamflow alteration","interactions":[],"lastModifiedDate":"2017-11-16T10:37:21","indexId":"70192404","displayToPublicDate":"2012-12-31T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Macroinvertebrate community change associated with the severity of streamflow alteration","docAbstract":"<p><span>Natural streamflows play a critical role in stream ecosystems, yet quantitative relations between streamflow alteration and stream health have been elusive. One reason for this difficulty is that neither streamflow alteration nor ecological responses are measured relative to their natural expectations. We assessed macroinvertebrate community condition in 25 mountain streams representing a large gradient of streamflow alteration, which we quantified as the departure of observed flows from natural expectations. Observed flows were obtained from US Geological Survey streamgaging stations and discharge records from dams and diversion structures. During low-flow conditions in September, samples of macroinvertebrate communities were collected at each site, in addition to measures of physical habitat, water chemistry and organic matter. In general, streamflows were artificially high during summer and artificially low throughout the rest of the year. Biological condition, as measured by richness of sensitive taxa (Ephemeroptera, Plecoptera and Trichoptera) and taxonomic completeness (O/E), was strongly and negatively related to the severity of depleted flows in winter. Analyses of macroinvertebrate traits suggest that taxa losses may have been caused by thermal modification associated with streamflow alteration. Our study yielded quantitative relations between the severity of streamflow alteration and the degree of biological impairment and suggests that water management that reduces streamflows during winter months is likely to have negative effects on downstream benthic communities in Utah mountain streams.&nbsp;</span></p>","language":"English","publisher":"River Research and Applications","doi":"10.1002/rra.2626","usgsCitation":"Carlisle, D.M., Eng, K., and Nelson, S.M., 2014, Macroinvertebrate community change associated with the severity of streamflow alteration: River Research and Applications, v. 30, no. 1, p. 29-39, https://doi.org/10.1002/rra.2626.","productDescription":"11 p.","startPage":"29","endPage":"39","ipdsId":"IP-034600","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":348882,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.9342041015625,\n              39.8928799002948\n            ],\n            [\n              -110.3851318359375,\n              39.8928799002948\n            ],\n            [\n              -110.3851318359375,\n              41.244772343082076\n            ],\n            [\n              -111.9342041015625,\n              41.244772343082076\n            ],\n            [\n              -111.9342041015625,\n              39.8928799002948\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"30","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-11-21","publicationStatus":"PW","scienceBaseUri":"5a6100e8e4b06e28e9c2543d","contributors":{"authors":[{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":715707,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eng, Ken 0000-0001-6838-5849 keng@usgs.gov","orcid":"https://orcid.org/0000-0001-6838-5849","contributorId":3580,"corporation":false,"usgs":true,"family":"Eng","given":"Ken","email":"keng@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":715708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, S. M.","contributorId":81853,"corporation":false,"usgs":false,"family":"Nelson","given":"S.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":715709,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70173460,"text":"70173460 - 2013 - Landscape-scale evaluation of asymmetric interactions between Brown Trout and Brook Trout using two-species occupancy models","interactions":[],"lastModifiedDate":"2016-06-17T14:31:53","indexId":"70173460","displayToPublicDate":"2015-12-22T13:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Landscape-scale evaluation of asymmetric interactions between Brown Trout and Brook Trout using two-species occupancy models","docAbstract":"<p><span>Predicting the distribution of native stream fishes is fundamental to the management and conservation of many species. Modeling species distributions often consists of quantifying relationships between species occurrence and abundance data at known locations with environmental data at those locations. However, it is well documented that native stream fish distributions can be altered as a result of asymmetric interactions between dominant exotic and subordinate native species. For example, the naturalized exotic Brown Trout&nbsp;</span><i>Salmo trutta</i><span>&nbsp;has been identified as a threat to native Brook Trout&nbsp;</span><i>Salvelinus fontinalis</i><span>&nbsp;in the eastern United States. To evaluate large-scale patterns of co-occurrence and to quantify the potential effects of Brown Trout presence on Brook Trout occupancy, we used data from 624 stream sites to fit two-species occupancy models. These models assumed that asymmetric interactions occurred between the two species. In addition, we examined natural and anthropogenic landscape characteristics we hypothesized would be important predictors of occurrence of both species. Estimated occupancy for Brook Trout, from a co-occurrence model with no landscape covariates, at sites with Brown Trout present was substantially lower than sites where Brown Trout were absent. We also observed opposing patterns for Brook and Brown Trout occurrence in relation to percentage forest, impervious surface, and agriculture within the network catchment. Our results are consistent with other studies and suggest that alterations to the landscape, and specifically the transition from a forested catchment to one that contains impervious surface or agriculture, reduces the occurrence probability of wild Brook Trout. Our results, however, also suggest that the presence of Brown Trout results in lower occurrence probability of Brook Trout over a range of anthropogenic landscape characteristics, compared with streams where Brown Trout were absent.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2012.734892","usgsCitation":"Wagner, T., Deweber, J.T., Detar, J., and John A. Sweka, 2013, Landscape-scale evaluation of asymmetric interactions between Brown Trout and Brook Trout using two-species occupancy models: Transactions of the American Fisheries Society, v. 142, no. 2, p. 353-361, https://doi.org/10.1080/00028487.2012.734892.","productDescription":"8 p.","startPage":"353","endPage":"361","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041194","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323919,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70173462,"text":"70173462 - 2013 - Estimating spatial and temporal components of variation in count data using negative binomial mixed models","interactions":[],"lastModifiedDate":"2016-06-17T14:27:35","indexId":"70173462","displayToPublicDate":"2015-08-12T14:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Estimating spatial and temporal components of variation in count data using negative binomial mixed models","docAbstract":"<p>P<span>artitioning total variability into its component temporal and spatial sources is a powerful way to better understand time series and elucidate trends. The data available for such analyses of fish and other populations are usually nonnegative integer counts of the number of organisms, often dominated by many low values with few observations of relatively high abundance. These characteristics are not well approximated by the Gaussian distribution. We present a detailed description of a negative binomial mixed-model framework that can be used to model count data and quantify temporal and spatial variability. We applied these models to data from four fishery-independent surveys of Walleyes&nbsp;</span><i>Sander vitreus</i><span>&nbsp;across the Great Lakes basin. Specifically, we fitted models to gill-net catches from Wisconsin waters of Lake Superior; Oneida Lake, New York; Saginaw Bay in Lake Huron, Michigan; and Ohio waters of Lake Erie. These long-term monitoring surveys varied in overall sampling intensity, the total catch of Walleyes, and the proportion of zero catches. Parameter estimation included the negative binomial scaling parameter, and we quantified the random effects as the variations among gill-net sampling sites, the variations among sampled years, and site &times; year interactions. This framework (i.e., the application of a mixed model appropriate for count data in a variance-partitioning context) represents a flexible approach that has implications for monitoring programs (e.g., trend detection) and for examining the potential of individual variance components to serve as response metrics to large-scale anthropogenic perturbations or ecological changes.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2012.728163","usgsCitation":"Irwin, B.J., Wagner, T., Bence, J., Kepler, M.V., Liu, W., and Hayes, D.B., 2013, Estimating spatial and temporal components of variation in count data using negative binomial mixed models: Transactions of the American Fisheries Society, v. 142, no. 1, p. 171-183, https://doi.org/10.1080/00028487.2012.728163.","productDescription":"12 p.","startPage":"171","endPage":"183","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-031058","costCenters":[{"id":199,"text":"Coop Res Unit 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,{"id":70159836,"text":"70159836 - 2013 - Mapping monkeypox transmission risk through time and space in the Congo Basin","interactions":[],"lastModifiedDate":"2015-12-01T11:49:37","indexId":"70159836","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Mapping monkeypox transmission risk through time and space in the Congo Basin","docAbstract":"<p><span>Monkeypox is a major public health concern in the Congo Basin area, with changing patterns of human case occurrences reported in recent years. Whether this trend results from better surveillance and detection methods, reduced proportions of vaccinated vs. non-vaccinated human populations, or changing environmental conditions remains unclear. Our objective is to examine potential correlations between environment and transmission of monkeypox events in the Congo Basin. We created ecological niche models based on human cases reported in the Congo Basin by the World Health Organization at the end of the smallpox eradication campaign, in relation to remotely-sensed Normalized Difference Vegetation Index datasets from the same time period. These models predicted independent spatial subsets of monkeypox occurrences with high confidence; models were then projected onto parallel environmental datasets for the 2000s to create present-day monkeypox suitability maps. Recent trends in human monkeypox infection are associated with broad environmental changes across the Congo Basin. Our results demonstrate that ecological niche models provide useful tools for identification of areas suitable for transmission, even for poorly-known diseases like monkeypox.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0074816","usgsCitation":"Nakazawa, Y.J., Lash, R.R., Carroll, D., Damon, I.K., Karem, K.L., Reynolds, M.G., Osorio, J., Rocke, T.E., Malekani, J., Muyembe, J., Formenty, P., and Peterson, A.T., 2013, Mapping monkeypox transmission risk through time and space in the Congo Basin: PLoS ONE, v. 8, no. 9, e74816; 9 p., https://doi.org/10.1371/journal.pone.0074816.","productDescription":"e74816; 9 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-030117","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":473347,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0074816","text":"Publisher Index Page"},{"id":311765,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Democratic Republic of Congo","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              16.611328125,\n              -5.703447982149503\n            ],\n            [\n              17.4462890625,\n              -8.233237111274553\n            ],\n            [\n              19.2919921875,\n              -8.05922962720018\n            ],\n            [\n              19.6435546875,\n              -7.100892668623642\n            ],\n            [\n              25.224609375,\n              -5.659718554577286\n            ],\n            [\n              25.3125,\n              5.003394345022162\n            ],\n            [\n              18.4130859375,\n              3.5572827265412794\n            ],\n            [\n              17.666015625,\n              -0.7470491450051796\n            ],\n            [\n              16.2158203125,\n              -2.2406396093827206\n            ],\n            [\n              16.611328125,\n              -5.703447982149503\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"9","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2013-09-05","publicationStatus":"PW","scienceBaseUri":"565ed2b9e4b071e7ea54442f","contributors":{"authors":[{"text":"Nakazawa, Yoshinori J.","contributorId":150106,"corporation":false,"usgs":false,"family":"Nakazawa","given":"Yoshinori","email":"","middleInitial":"J.","affiliations":[{"id":17914,"text":"CDC","active":true,"usgs":false}],"preferred":false,"id":580772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lash, R. Ryan","contributorId":150129,"corporation":false,"usgs":false,"family":"Lash","given":"R.","email":"","middleInitial":"Ryan","affiliations":[],"preferred":false,"id":580773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carroll, Darin S.","contributorId":150113,"corporation":false,"usgs":false,"family":"Carroll","given":"Darin S.","affiliations":[{"id":17914,"text":"CDC","active":true,"usgs":false}],"preferred":false,"id":580774,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Damon, Inger K.","contributorId":150112,"corporation":false,"usgs":false,"family":"Damon","given":"Inger","email":"","middleInitial":"K.","affiliations":[{"id":17914,"text":"CDC","active":true,"usgs":false}],"preferred":false,"id":580775,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Karem, Kevin L.","contributorId":150111,"corporation":false,"usgs":false,"family":"Karem","given":"Kevin","email":"","middleInitial":"L.","affiliations":[{"id":17914,"text":"CDC","active":true,"usgs":false}],"preferred":false,"id":580776,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reynolds, Mary G.","contributorId":150131,"corporation":false,"usgs":false,"family":"Reynolds","given":"Mary","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":580777,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Osorio, Jorge E.","contributorId":50392,"corporation":false,"usgs":false,"family":"Osorio","given":"Jorge E.","affiliations":[{"id":13052,"text":"Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":580778,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":580664,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Malekani, Jean","contributorId":150110,"corporation":false,"usgs":false,"family":"Malekani","given":"Jean","affiliations":[{"id":17915,"text":"Univ. of Kinshasa, DRC","active":true,"usgs":false}],"preferred":false,"id":580779,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Muyembe, Jean-Jacques","contributorId":150132,"corporation":false,"usgs":false,"family":"Muyembe","given":"Jean-Jacques","email":"","affiliations":[],"preferred":false,"id":580780,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Formenty, Pierre","contributorId":150133,"corporation":false,"usgs":false,"family":"Formenty","given":"Pierre","email":"","affiliations":[],"preferred":false,"id":580781,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Peterson, A. Townsend","contributorId":150134,"corporation":false,"usgs":false,"family":"Peterson","given":"A.","email":"","middleInitial":"Townsend","affiliations":[],"preferred":false,"id":580782,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70045892,"text":"70045892 - 2013 - Conservation in an age of climate change","interactions":[],"lastModifiedDate":"2019-07-01T10:38:18","indexId":"70045892","displayToPublicDate":"2014-12-31T10:38:03","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2819,"text":"National Wetlands Newsletter","active":true,"publicationSubtype":{"id":10}},"title":"Conservation in an age of climate change","docAbstract":"Are you a gardener? Then you know that certain species and varieties of species grow best in certain growing zones related to climate. This growing zone concept also applies to species in natural ecosystems. One threat of climate change to wetland biodiversity is that some species may be losing the ability to track an appropriate season for flowering, seed production and growth, impairing their ability to regenerate. Based on genetic constraints, such species may have a limited ability to adjust to changing climates. For biodiversity conservation to be successful in the future, the first order of business is to formulate the goals of such projects regardless of philosophical differences in approaches. If the real goal is to conserve species, then conservation planners may need to put all management options on the table. Despite the uncertainties, with the risk of species losses so imminent, the best strategy may be to throw any dogmatism out the window and use multiple approaches. ","language":"English","publisher":"Environmental Law Institute","usgsCitation":"Middleton, B., 2013, Conservation in an age of climate change: National Wetlands Newsletter, v. 35, no. 3, p. 25-26.","productDescription":"2 p.","startPage":"25","endPage":"26","ipdsId":"IP-043227","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":365246,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"UNITED STATES","volume":"35","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Middleton, Beth 0000-0002-1220-2326","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":206609,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":765298,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70128155,"text":"70128155 - 2013 - Comparison of elevation and remote sensing derived products as auxiliary data for climate surface interpolation","interactions":[],"lastModifiedDate":"2014-10-07T08:56:56","indexId":"70128155","displayToPublicDate":"2014-06-01T08:55:53","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2032,"text":"International Journal of Climatology","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of elevation and remote sensing derived products as auxiliary data for climate surface interpolation","docAbstract":"Climate models may be limited in their inferential use if they cannot be locally validated or do not account for spatial uncertainty. Much of the focus has gone into determining which interpolation method is best suited for creating gridded climate surfaces, which often a covariate such as elevation (Digital Elevation Model, DEM) is used to improve the interpolation accuracy. One key area where little research has addressed is in determining which covariate best improves the accuracy in the interpolation. In this study, a comprehensive evaluation was carried out in determining which covariates were most suitable for interpolating climatic variables (e.g. precipitation, mean temperature, minimum temperature, and maximum temperature). We compiled data for each climate variable from 1950 to 1999 from approximately 500 weather stations across the Western United States (32° to 49° latitude and −124.7° to −112.9° longitude). In addition, we examined the uncertainty of the interpolated climate surface. Specifically, Thin Plate Spline (TPS) was used as the interpolation method since it is one of the most popular interpolation techniques to generate climate surfaces. We considered several covariates, including DEM, slope, distance to coast (Euclidean distance), aspect, solar potential, radar, and two Normalized Difference Vegetation Index (NDVI) products derived from Advanced Very High Resolution Radiometer (AVHRR) and Moderate Resolution Imaging Spectroradiometer (MODIS). A tenfold cross-validation was applied to determine the uncertainty of the interpolation based on each covariate. In general, the leading covariate for precipitation was radar, while DEM was the leading covariate for maximum, mean, and minimum temperatures. A comparison to other products such as PRISM and WorldClim showed strong agreement across large geographic areas but climate surfaces generated in this study (ClimSurf) had greater variability at high elevation regions, such as in the Sierra Nevada Mountains.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Climatology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Royal Meteorological Society","publisherLocation":"Chichester","doi":"10.1002/joc.3835","usgsCitation":"Alvarez, O., Guo, Q., Klinger, R.C., Li, W., and Doherty, P., 2013, Comparison of elevation and remote sensing derived products as auxiliary data for climate surface interpolation: International Journal of Climatology, v. 34, no. 7, p. 2258-2268, https://doi.org/10.1002/joc.3835.","productDescription":"11 p.","startPage":"2258","endPage":"2268","numberOfPages":"11","ipdsId":"IP-050933","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":294969,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294953,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/joc.3835"}],"volume":"34","issue":"7","noUsgsAuthors":false,"publicationDate":"2013-10-18","publicationStatus":"PW","scienceBaseUri":"543500a1e4b0a4f4b46a237e","contributors":{"authors":[{"text":"Alvarez, Otto","contributorId":86284,"corporation":false,"usgs":true,"family":"Alvarez","given":"Otto","affiliations":[],"preferred":false,"id":502779,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guo, Qinghua","contributorId":32855,"corporation":false,"usgs":true,"family":"Guo","given":"Qinghua","affiliations":[],"preferred":false,"id":502777,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klinger, Robert C. 0000-0003-3193-3199 rcklinger@usgs.gov","orcid":"https://orcid.org/0000-0003-3193-3199","contributorId":5395,"corporation":false,"usgs":true,"family":"Klinger","given":"Robert","email":"rcklinger@usgs.gov","middleInitial":"C.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":502776,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Li, Wenkai","contributorId":108044,"corporation":false,"usgs":true,"family":"Li","given":"Wenkai","affiliations":[],"preferred":false,"id":502780,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Doherty, Paul","contributorId":38494,"corporation":false,"usgs":true,"family":"Doherty","given":"Paul","affiliations":[],"preferred":false,"id":502778,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70199974,"text":"70199974 - 2013 - Drivers of circulation in a fringing coral reef embayment: A wave-flow coupled numerical modeling study of Hanalei Bay, Hawaii","interactions":[],"lastModifiedDate":"2018-10-09T14:50:30","indexId":"70199974","displayToPublicDate":"2014-04-15T14:50:14","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1333,"text":"Continental Shelf Research","active":true,"publicationSubtype":{"id":10}},"title":"Drivers of circulation in a fringing coral reef embayment: A wave-flow coupled numerical modeling study of Hanalei Bay, Hawaii","docAbstract":"<div id=\"abstracts\" class=\"Abstracts\"><div id=\"ab0005\" class=\"abstract author\"><div id=\"abs0005\"><p id=\"sp0090\">A coupled wave-circulation numerical model of Hanalei Bay, Hawaii, was constructed to investigate controls on nearshore hydrodynamics and overall circulation of a bathymetrically-complex coral reef embayment that is exposed to large waves and river floods several times per annum. The model was calibrated using in situ data representative of the two conditions that dominate the region's wave climate: one associated with local trade winds and associated trade-wind waves, and the other with distant-source episodic large swells. The model results were improved by including spatially-varying hydrodynamic bed roughness and making the semi-empirical wave-breaking parameter dependent on incident wave steepness and reef slope. During trade-wind conditions, circulation was primarily wind-driven and volume flux-based flushing times of the bay were on the order of 35&nbsp;h. Under the episodic swell conditions, circulation were dominated by wave-driven flows and flushing times decreased to as little as 2&nbsp;h. The vigorous hydrodynamics that occur during the upper 10% most energetic swell conditions indicate that only a few (0–10) events each year are likely capable of exporting significant volumes of sediment from the bay. Like many fringing reef areas backed by steep-sided watersheds on tropical and sub-tropical high islands worldwide, Hanalei Bay receives high episodic fluvial sediment load during a similarly low number of flood events. These similarly episodic but decoupled processes of sediment delivery and removal identified here suggest that the water quality and sedimentary environment of Hanalei Bay and similar linked watershed-reef systems are sensitive to changes in annual storm frequency and intensity.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.csr.2013.03.007","usgsCitation":"Hoeke, R., Storlazzi, C.D., and Ridd, P.V., 2013, Drivers of circulation in a fringing coral reef embayment: A wave-flow coupled numerical modeling study of Hanalei Bay, Hawaii: Continental Shelf Research, v. 58, p. 79-95, https://doi.org/10.1016/j.csr.2013.03.007.","productDescription":"17 p.","startPage":"79","endPage":"95","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":358213,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Hanalei Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -159.53350067138672,\n              22.19916683397288\n            ],\n            [\n              -159.48526382446286,\n              22.19916683397288\n            ],\n            [\n              -159.48526382446286,\n              22.234446448737298\n            ],\n            [\n              -159.53350067138672,\n              22.234446448737298\n            ],\n            [\n              -159.53350067138672,\n              22.19916683397288\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"58","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc0393ee4b0fc368eb53b24","contributors":{"authors":[{"text":"Hoeke, Ron 0000-0003-0576-9436","orcid":"https://orcid.org/0000-0003-0576-9436","contributorId":196862,"corporation":false,"usgs":false,"family":"Hoeke","given":"Ron","email":"","affiliations":[],"preferred":false,"id":747551,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","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":747552,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ridd, Peter V.","contributorId":208521,"corporation":false,"usgs":false,"family":"Ridd","given":"Peter","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":747553,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70119394,"text":"70119394 - 2013 - Are large-scale flow experiments informing the science and management of freshwater ecosystems?","interactions":[],"lastModifiedDate":"2017-11-22T10:48:43","indexId":"70119394","displayToPublicDate":"2014-04-01T14:15:48","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Are large-scale flow experiments informing the science and management of freshwater ecosystems?","docAbstract":"Greater scientific knowledge, changing societal values, and legislative mandates have emphasized the importance of implementing large-scale flow experiments (FEs) downstream of dams. We provide the first global assessment of FEs to evaluate their success in advancing science and informing management decisions. Systematic review of 113 FEs across 20 countries revealed that clear articulation of experimental objectives, while not universally practiced, was crucial for achieving management outcomes and changing dam-operating policies. Furthermore, changes to dam operations were three times less likely when FEs were conducted primarily for scientific purposes. Despite the recognized importance of riverine flow regimes, four-fifths of FEs involved only discrete flow events. Over three-quarters of FEs documented both abiotic and biotic outcomes, but only one-third examined multiple taxonomic responses, thus limiting how FE results can inform holistic dam management. Future FEs will present new opportunities to advance scientifically credible water policies.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Frontiers in Ecology and the Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, D.C.","doi":"10.1890/130076","usgsCitation":"Olden, J., Konrad, C.P., Melis, T., Kennard, M.J., Freeman, M., Mims, M.C., Bray, E., Gido, K., Hemphill, N.P., Lytle, D.A., McMullen, L.E., Pyron, M., Robinson, C.T., Schmidt, J.C., and Williams, J.G., 2013, Are large-scale flow experiments informing the science and management of freshwater ecosystems?: Frontiers in Ecology and the Environment, v. 12, no. 3, p. 176-185, https://doi.org/10.1890/130076.","productDescription":"10 p.","startPage":"176","endPage":"185","numberOfPages":"10","ipdsId":"IP-050929","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science 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J.","contributorId":81354,"corporation":false,"usgs":true,"family":"Kennard","given":"Mark","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":497661,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":497651,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mims, Meryl C.","contributorId":29253,"corporation":false,"usgs":true,"family":"Mims","given":"Meryl","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":497657,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bray, Erin N.","contributorId":92906,"corporation":false,"usgs":true,"family":"Bray","given":"Erin 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E.","contributorId":43216,"corporation":false,"usgs":true,"family":"McMullen","given":"Laura","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":497659,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Pyron, Mark","contributorId":28113,"corporation":false,"usgs":true,"family":"Pyron","given":"Mark","affiliations":[],"preferred":false,"id":497656,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Robinson, Christopher T.","contributorId":25663,"corporation":false,"usgs":true,"family":"Robinson","given":"Christopher","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":497655,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Schmidt, John C. 0000-0002-2988-3869 jcschmidt@usgs.gov","orcid":"https://orcid.org/0000-0002-2988-3869","contributorId":1983,"corporation":false,"usgs":true,"family":"Schmidt","given":"John","email":"jcschmidt@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":497650,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Williams, John G.","contributorId":10270,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":497652,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70189180,"text":"70189180 - 2013 - Modeling unsaturated zone flow and runoff processes by integrating MODFLOW-LGR and VSF, and creating the new CFL package","interactions":[],"lastModifiedDate":"2017-07-06T14:41:05","indexId":"70189180","displayToPublicDate":"2014-04-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Modeling unsaturated zone flow and runoff processes by integrating MODFLOW-LGR and VSF, and creating the new CFL package","docAbstract":"<p><span>In this paper two modifications to the MODFLOW code are presented. One concerns an extension of Local Grid Refinement (LGR) to Variable Saturated Flow process (VSF) capability. This modification allows the user to solve the 3D Richards’ equation only in selected parts of the model domain. The second modification introduces a new package, named CFL (Cascading Flow), which improves the computation of overland flow when ground surface saturation is simulated using either VSF or the Unsaturated Zone Flow (UZF) package. The modeling concepts are presented and demonstrated. Programmer documentation is included in appendices.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2013.02.020","usgsCitation":"Borsia, I., Rossetto, R., Schifani, C., and Hill, M.C., 2013, Modeling unsaturated zone flow and runoff processes by integrating MODFLOW-LGR and VSF, and creating the new CFL package: Journal of Hydrology, v. 488, p. 33-47, https://doi.org/10.1016/j.jhydrol.2013.02.020.","productDescription":"15 p.","startPage":"33","endPage":"47","ipdsId":"IP-044185","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343435,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"488","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595f4c43e4b0d1f9f057e364","contributors":{"authors":[{"text":"Borsia, I.","contributorId":194176,"corporation":false,"usgs":false,"family":"Borsia","given":"I.","email":"","affiliations":[],"preferred":false,"id":703763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rossetto, R.","contributorId":194177,"corporation":false,"usgs":false,"family":"Rossetto","given":"R.","email":"","affiliations":[],"preferred":false,"id":703764,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schifani, C.","contributorId":194178,"corporation":false,"usgs":false,"family":"Schifani","given":"C.","email":"","affiliations":[],"preferred":false,"id":703765,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hill, Mary C. mchill@usgs.gov","contributorId":974,"corporation":false,"usgs":true,"family":"Hill","given":"Mary","email":"mchill@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703766,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70103044,"text":"70103044 - 2013 - A description of the nearshore fish communities in the Huron-Erie Corridor using multiple gear types","interactions":[],"lastModifiedDate":"2015-11-30T11:27:59","indexId":"70103044","displayToPublicDate":"2014-02-01T14:12:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"A description of the nearshore fish communities in the Huron-Erie Corridor using multiple gear types","docAbstract":"<p>Great Lakes coastal wetlands provide a critical habitat for many fish species throughout their life cycles. Once home to one of the largest wetland complexes in the Great Lakes, coastal wetlands in the Huron&ndash;Erie Corridor (HEC) have decreased dramatically since the early 1900s. We characterized the nearshore fish communities at three different wetland complexes in the HEC using electrofishing, seines, and fyke nets. Species richness was highest in the Detroit River (63), followed by the St. Clair Delta (56), and Western Lake Erie (47). The nearshore fish communities in the Detroit River and St. Clair Delta consisted primarily of shiners, bluntnose minnow, centrarchids, and brook silverside, while the Western Lake Erie sites consisted of high proportions of non-native taxa including common carp, gizzard shad, goldfish, and white perch. Species richness estimates using individual-based rarefaction curves were higher when using electrofishing data compared to fyke nets or seine hauls at each wetland. Twelve fish species were captured exclusively during electrofishing assessments, while one species was captured exclusively in fyke nets, and none exclusively during seine hauls. Western Lake Erie wetlands were more indicative of degraded systems with lower species richness, lower proportion of turbidity intolerant species, and increased abundance of non-native taxa. This work highlights the importance of coastal wetlands in the HEC by capturing 69 different fish species utilizing these wetlands to fulfill life history requirements and provides insight when selecting gears to sample nearshore littoral areas.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2014.01.007","usgsCitation":"Francis, J.T., Chiotti, J.A., Boase, J., Thomas, M.V., Manny, B.A., and Roseman, E., 2013, A description of the nearshore fish communities in the Huron-Erie Corridor using multiple gear types: Journal of Great Lakes Research, v. 40, p. 52-61, https://doi.org/10.1016/j.jglr.2014.01.007.","productDescription":"10 p.","startPage":"52","endPage":"61","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050304","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":295235,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2014.01.007"},{"id":295236,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Detroit River, Great Lakes, Lake Erie, St. Clair Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.529296875,\n              42.73894375124379\n            ],\n            [\n              -82.232666015625,\n              42.374778361114195\n            ],\n            [\n              -82.3699951171875,\n              42.261049162113856\n            ],\n            [\n              -82.63916015625,\n              42.19189902447192\n            ],\n            [\n              -82.8369140625,\n              42.200038266046754\n            ],\n            [\n              -82.957763671875,\n              42.1104489601222\n            ],\n            [\n              -82.891845703125,\n              42.0615286181226\n            ],\n            [\n              -83.0291748046875,\n              41.64828831259535\n            ],\n            [\n              -83.21044921875,\n              41.529141988723104\n            ],\n            [\n              -83.5565185546875,\n              41.475660200278234\n            ],\n            [\n              -83.6773681640625,\n              41.63597302844412\n            ],\n            [\n              -83.770751953125,\n              41.87774145109676\n            ],\n            [\n              -83.66638183593749,\n              42.02889410108475\n            ],\n            [\n              -83.42468261718749,\n              42.12267315117259\n            ],\n            [\n              -83.2708740234375,\n              42.22851735620852\n            ],\n            [\n              -83.16650390625,\n              42.4112905190282\n            ],\n            [\n              -83.023681640625,\n              42.62587560259137\n            ],\n            [\n              -82.90283203125,\n              42.75104599038353\n            ],\n            [\n              -82.7490234375,\n              42.79136972365016\n            ],\n            [\n              -82.59521484375,\n              42.771211138625894\n            ],\n            [\n              -82.529296875,\n              42.73894375124379\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5438f518e4b0c47db4296bb6","contributors":{"authors":[{"text":"Francis, James T.","contributorId":81826,"corporation":false,"usgs":true,"family":"Francis","given":"James","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":493133,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chiotti, Justin A.","contributorId":59371,"corporation":false,"usgs":true,"family":"Chiotti","given":"Justin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":493131,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boase, James C.","contributorId":38077,"corporation":false,"usgs":false,"family":"Boase","given":"James C.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":493130,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thomas, Mike V.","contributorId":61363,"corporation":false,"usgs":true,"family":"Thomas","given":"Mike","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":493132,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Manny, Bruce A. 0000-0002-4074-9329 bmanny@usgs.gov","orcid":"https://orcid.org/0000-0002-4074-9329","contributorId":3699,"corporation":false,"usgs":true,"family":"Manny","given":"Bruce","email":"bmanny@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":493129,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roseman, Edward F.","contributorId":103204,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","affiliations":[],"preferred":false,"id":493134,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70059777,"text":"70059777 - 2013 - Breeding site heterogeneity reduces variability in frog recruitment and population dynamics","interactions":[],"lastModifiedDate":"2014-02-14T09:48:01","indexId":"70059777","displayToPublicDate":"2014-01-24T10:23:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Breeding site heterogeneity reduces variability in frog recruitment and population dynamics","docAbstract":"Environmental stochasticity can have profound effects on the dynamics and viability of wild populations, and habitat heterogeneity provides one mechanism by which populations may be buffered against the negative effects of environmental fluctuations. Heterogeneity in breeding pond hydroperiod across the landscape may allow amphibian populations to persist despite variable interannual precipitation. We examined recruitment dynamics over 10 yr in a high-elevation Columbia spotted frog (<i>Rana luteiventris</i>) population that breeds in ponds with a variety of hydroperiods. We combined these data with matrix population models to quantify the consequences of heterogeneity in pond hydroperiod on net recruitment (i.e. number of metamorphs produced) and population growth rates. We compared our heterogeneous system to hypothetical homogeneous environments with only ephemeral ponds, only semi-permanent ponds, and only permanent ponds. We also examined the effects of breeding pond habitat loss on population growth rates. Most eggs were laid in permanent ponds each year, but survival to metamorphosis was highest in the semi-permanent ponds. Recruitment success varied by both year and pond type. Net recruitment and stochastic population growth rate were highest under a scenario with homogeneous semi-permanent ponds, but variability in recruitment was lowest in the scenario with the observed heterogeneity in hydroperiods. Loss of pond habitat decreased population growth rate, with greater decreases associated with loss of permanent and semi-permanent habitat. The presence of a diversity of pond hydroperiods on the landscape will influence population dynamics, including reducing variability in recruitment in an uncertain climatic future.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Conservation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2013.12.013","usgsCitation":"McCaffery, R., Eby, L.A., Maxell, B.A., and Corn, P., 2013, Breeding site heterogeneity reduces variability in frog recruitment and population dynamics: Biological Conservation, v. 170, p. 169-176, https://doi.org/10.1016/j.biocon.2013.12.013.","productDescription":"8 p.","startPage":"169","endPage":"176","ipdsId":"IP-053191","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":282379,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282378,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.biocon.2013.12.013"}],"country":"United States","state":"Montana","otherGeospatial":"Little Rock Creek Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.977216,47.725464 ], [ -114.977216,47.729912 ], [ -114.938275,47.729912 ], [ -114.938275,47.725464 ], [ -114.977216,47.725464 ] ] ] } } ] }","volume":"170","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5351702ae4b05569d805a180","contributors":{"authors":[{"text":"McCaffery, Rebecca M.","contributorId":57364,"corporation":false,"usgs":true,"family":"McCaffery","given":"Rebecca M.","affiliations":[],"preferred":false,"id":487805,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eby, Lisa A.","contributorId":42910,"corporation":false,"usgs":true,"family":"Eby","given":"Lisa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":487804,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maxell, Bryce A.","contributorId":100113,"corporation":false,"usgs":true,"family":"Maxell","given":"Bryce","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":487806,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Corn, Paul Stephen 0000-0002-4106-6335","orcid":"https://orcid.org/0000-0002-4106-6335","contributorId":107379,"corporation":false,"usgs":true,"family":"Corn","given":"Paul Stephen","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":487807,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047656,"text":"70047656 - 2013 - Correcting length-frequency distributions for imperfect detection","interactions":[],"lastModifiedDate":"2014-01-08T14:04:05","indexId":"70047656","displayToPublicDate":"2014-01-08T13:03:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Correcting length-frequency distributions for imperfect detection","docAbstract":"Sampling gear selects for specific sizes of fish, which may bias length-frequency distributions that are commonly used to assess population size structure, recruitment patterns, growth, and survival. To properly correct for sampling biases caused by gear and other sources, length-frequency distributions need to be corrected for imperfect detection. We describe a method for adjusting length-frequency distributions when capture and recapture probabilities are a function of fish length, temporal variation, and capture history. The method is applied to a study involving the removal of Smallmouth Bass <i>Micropterus dolomieu</i> by boat electrofishing from a 38.6-km reach on the Yampa River, Colorado. Smallmouth Bass longer than 100 mm were marked and released alive from 2005 to 2010 on one or more electrofishing passes and removed on all other passes from the population. Using the Huggins mark–recapture model, we detected a significant effect of fish total length, previous capture history (behavior), year, pass, year×behavior, and year×pass on capture and recapture probabilities. We demonstrate how to partition the Huggins estimate of abundance into length frequencies to correct for these effects. Uncorrected length frequencies of fish removed from Little Yampa Canyon were negatively biased in every year by as much as 88% relative to mark–recapture estimates for the smallest length-class in our analysis (100–110 mm). Bias declined but remained high even for adult length-classes (≥200 mm). The pattern of bias across length-classes was variable across years. The percentage of unadjusted counts that were below the lower 95% confidence interval from our adjusted length-frequency estimates were 95, 89, 84, 78, 81, and 92% from 2005 to 2010, respectively. Length-frequency distributions are widely used in fisheries science and management. Our simple method for correcting length-frequency estimates for imperfect detection could be widely applied when mark–recapture data are available.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2013.829141","usgsCitation":"Breton, A., Hawkins, J.A., and Winkelman, D.L., 2013, Correcting length-frequency distributions for imperfect detection: North American Journal of Fisheries Management, v. 33, no. 6, p. 1156-1165, https://doi.org/10.1080/02755947.2013.829141.","productDescription":"10 p.","startPage":"1156","endPage":"1165","numberOfPages":"10","ipdsId":"IP-041180","costCenters":[{"id":189,"text":"Colorado Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":280735,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280734,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2013.829141"}],"country":"United States","state":"Colorado","otherGeospatial":"Little Yampa Canyon;Yampa River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0509,40.219 ], [ -109.0509,41.0009 ], [ -107.3119,41.0009 ], [ -107.3119,40.219 ], [ -109.0509,40.219 ] ] ] } } ] }","volume":"33","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-11-15","publicationStatus":"PW","scienceBaseUri":"52ce747ae4b073e0995b2dcb","contributors":{"authors":[{"text":"Breton, André R.","contributorId":47682,"corporation":false,"usgs":false,"family":"Breton","given":"André R.","affiliations":[],"preferred":false,"id":482644,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hawkins, John A.","contributorId":50076,"corporation":false,"usgs":true,"family":"Hawkins","given":"John","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":482645,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Winkelman, Dana L. 0000-0002-5247-0114 danaw@usgs.gov","orcid":"https://orcid.org/0000-0002-5247-0114","contributorId":4141,"corporation":false,"usgs":true,"family":"Winkelman","given":"Dana","email":"danaw@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":482643,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047946,"text":"70047946 - 2013 - Triggered tremor sweet spots in Alaska","interactions":[],"lastModifiedDate":"2014-01-13T10:37:51","indexId":"70047946","displayToPublicDate":"2014-01-08T09:55:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Triggered tremor sweet spots in Alaska","docAbstract":"To better understand what controls fault slip along plate boundaries, we have exploited the abundance of seismic and geodetic data available from the richly varied tectonic environments composing Alaska. A search for tremor triggered by 11 large earthquakes throughout all of seismically monitored Alaska reveals two tremor “sweet spots”—regions where large-amplitude seismic waves repeatedly triggered tremor between 2006 and 2012. The two sweet spots locate in very different tectonic environments—one just trenchward and between the Aleutian islands of Unalaska and Akutan and the other in central mainland Alaska. The Unalaska/Akutan spot corroborates previous evidence that the region is ripe for tremor, perhaps because it is located where plate-interface frictional properties transition between stick-slip and stably sliding in both the dip direction and laterally. The mainland sweet spot coincides with a region of complex and uncertain plate interactions, and where no slow slip events or major crustal faults have been noted previously. Analyses showed that larger triggering wave amplitudes, and perhaps lower frequencies (<~0.03 Hz), may enhance the probability of triggering tremor. However, neither the maximum amplitude in the time domain or in a particular frequency band, nor the geometric relationship of the wavefield to the tremor source faults alone ensures a high probability of triggering. Triggered tremor at the two sweet spots also does not occur during slow slip events visually detectable in GPS data, although slow slip below the detection threshold may have facilitated tremor triggering.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/2013JB010273","usgsCitation":"Gomberg, J., and Prejean, S., 2013, Triggered tremor sweet spots in Alaska: Journal of Geophysical Research B: Solid Earth, v. 118, no. 12, p. 6203-6218, https://doi.org/10.1002/2013JB010273.","productDescription":"16 p.","startPage":"6203","endPage":"6218","numberOfPages":"16","ipdsId":"IP-044947","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":473362,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013jb010273","text":"Publisher Index Page"},{"id":280699,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280698,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2013JB010273"}],"country":"United States","state":"Alaska","otherGeospatial":"Denali Fault","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -185.0,52.0 ], [ -185.0,68.0 ], [ -130.0,68.0 ], [ -130.0,52.0 ], [ -185.0,52.0 ] ] ] } } ] }","volume":"118","issue":"12","noUsgsAuthors":false,"publicationDate":"2013-12-16","publicationStatus":"PW","scienceBaseUri":"52ce7486e4b073e0995b2def","contributors":{"authors":[{"text":"Gomberg, Joan","contributorId":77919,"corporation":false,"usgs":true,"family":"Gomberg","given":"Joan","affiliations":[],"preferred":false,"id":483361,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prejean, Stephanie","contributorId":61916,"corporation":false,"usgs":true,"family":"Prejean","given":"Stephanie","affiliations":[],"preferred":false,"id":483360,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70154903,"text":"70154903 - 2013 - A computer model to forecast wetland vegetation changes resulting from restoration and protection in coastal Louisiana","interactions":[],"lastModifiedDate":"2015-07-14T11:26:54","indexId":"70154903","displayToPublicDate":"2014-01-01T12:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"A computer model to forecast wetland vegetation changes resulting from restoration and protection in coastal Louisiana","docAbstract":"<p>The coastal wetlands of Louisiana are a unique ecosystem that supports a diversity of wildlife as well as a diverse community of commercial interests of both local and national importance. The state of Louisiana has established a 5-year cycle of scientific investigation to provide up-to-date information to guide future legislation and regulation aimed at preserving this critical ecosystem. Here we report on a model that projects changes in plant community distribution and composition in response to environmental conditions. This model is linked to a suite of other models and requires input from those that simulate the hydrology and morphology of coastal Louisiana. Collectively, these models are used to assess how alternative management plans may affect the wetland ecosystem through explicit spatial modeling of the physical and biological processes affected by proposed modifications to the ecosystem. We have also taken the opportunity to advance the state-of-the-art in wetland plant community modeling by using a model that is more species-based in its description of plant communities instead of one based on aggregated community types such as brackish marsh and saline marsh. The resulting model provides an increased level of ecological detail about how wetland communities are expected to respond. In addition, the output from this model provides critical inputs for estimating the effects of management on higher trophic level species though a more complete description of the shifts in habitat.</p>","language":"English","publisher":"Coastal Education and Research Foundation, BioOne","doi":"10.2112/SI_67_4","usgsCitation":"Visser, J.M., Duke-Sylvester, S., Carter, J., and Broussard, W.P., 2013, A computer model to forecast wetland vegetation changes resulting from restoration and protection in coastal Louisiana: Journal of Coastal Research, no. 67, p. 51-59, https://doi.org/10.2112/SI_67_4.","productDescription":"9 p.","startPage":"51","endPage":"59","numberOfPages":"9","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-042146","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":305704,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":305597,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.2112/SI_67_4"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.878173828125,\n              29.008140362978157\n            ],\n            [\n              -93.878173828125,\n              30.183121842195515\n            ],\n            [\n              -88.934326171875,\n              30.183121842195515\n            ],\n            [\n              -88.934326171875,\n              29.008140362978157\n            ],\n            [\n              -93.878173828125,\n              29.008140362978157\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","issue":"67","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55a632a9e4b0183d66e45cc0","contributors":{"authors":[{"text":"Visser, Jenneke M.","contributorId":90397,"corporation":false,"usgs":true,"family":"Visser","given":"Jenneke","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":564333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duke-Sylvester, Scott M.","contributorId":40661,"corporation":false,"usgs":true,"family":"Duke-Sylvester","given":"Scott M.","affiliations":[],"preferred":false,"id":564332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carter, Jacoby 0000-0003-0110-0284 carterj@usgs.gov","orcid":"https://orcid.org/0000-0003-0110-0284","contributorId":2399,"corporation":false,"usgs":true,"family":"Carter","given":"Jacoby","email":"carterj@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":564330,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Broussard, Whitney P. III","contributorId":62101,"corporation":false,"usgs":true,"family":"Broussard","given":"Whitney","suffix":"III","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":564331,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70111903,"text":"70111903 - 2013 - Avian disease assessment in seabirds and non-native passerines birds at Midway Atoll NWR","interactions":[],"lastModifiedDate":"2014-07-02T09:35:04","indexId":"70111903","displayToPublicDate":"2014-01-01T09:25:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"TR HCSU-047","title":"Avian disease assessment in seabirds and non-native passerines birds at Midway Atoll NWR","docAbstract":"<p>Midway Atoll in the Northwestern Hawaiian Islands supports the largest breeding colony of Laysan albatross (<i>Phoebastria immutabilis</i>) in the world and is a proposed site for the translocation of endangered Northwestern Hawaiian Island passerine birds such as the Nihoa finch (<i>Telespiza ultima</i>), Nihoa millerbird (<i>Acrocephalus familiaris kingi</i>), or Laysan finch (<i>Telespiza cantans</i>). On the main Hawaiian Islands, introduced mosquito-borne avian malaria (<i>Plasmodium relictum</i>) and avian pox (<i>Avipoxvirus</i>) have contributed to the extinction and decline of native Hawaiian avifauna. The mosquito vector (<i>Culex quinquefasciatus</i>) is present on Sand Island, Midway Atoll, where epizootics of <i>Avipoxvirus</i> have been reported among nestling Laysan albatross, black-footed albatross (<i>Phoebastria nigripes</i>), and red-tailed tropicbirds (<i>Phaethon rubricauda</i>) since 1963. Two introduced passerines, the common canary (<i>Serinus canaria</i>) and the common myna (<i>Acridotheres tristis</i>), are also present on Sand Island and may serve as reservoirs of mosquito-borne pathogens. Assessing disease prevalence and transmission potential at Midway Atoll National Wildlife Refuge (NWR) is a critical first step to translocation of Nihoa endemic passerines. In May 2010 and April 2012 we surveyed Midway Atoll NWR for mosquitoes and evidence of mosquito-borne disease. Although we did not observe active pox infections on albatross nestlings in May 2010, active infections were prevalent on albatross nestlings in April 2012. Presumptive diagnosis of <i>Avipoxvirus</i> was confirmed by PCR amplification of the <i>Avipoxvirus</i> 4b core protein gene from lesions collected from 10 albatross nestlings. Products were sequenced and compared to 4b core protein sequences from 28 <i>Avipoxvirus</i> isolates from the Hawaiian Islands and other parts of the world. Sequences from all Midway isolates were identical and formed a clade with other <i>Avipoxvirus</i> isolates from seabirds that was distinct from other <i>Avipoxvirus</i> isolates from the Hawaiian Islands. Tissue from three presumptive avian pox lesions from common canaries tested negative for <i>Avipoxvirus</i>. Blood samples from 124 canaries and 61 mynas tested negative for <i>Plasmodium</i> by one or more diagnostic tests based on microscopy, serology, or PCR diagnostics. Prevalence of <i>Avipoxvirus</i> infection was highest among albatross nestlings (94.6%) in the vicinity of the septic tanks where adult <i>C. quinquefasciatus</i> reached their highest densities, and data from all sites suggest a positive correlation between mosquito abundance and <i>Avipoxvirus</i> prevalence. Adult <i>C. quinquefasciatus</i> were also locally abundant around fishless, constructed wetlands. Since 1996, infrastructure removal and source reduction efforts by the refuge have greatly reduced the availability of underground and container habitats for larval mosquitoes on Sand Island. However, the creation of artificial wetlands and a central septic system on Sand Island has resulted in new, highly productive larval mosquito habitat for <i>C. quinquefasciatus</i>. Despite the presence of endemic <i>Avipoxvirus</i> in albatross nestlings and the introduction of mosquito vectors and two susceptible passerine species in the last century, we found no evidence of the avian malaria <i>Plasmodium relictum</i> or a passerine-infecting <i>Avipoxvirus</i> on Midway Atoll NWR that would interfere with the successful translocation of endemic Northwestern Hawaiian Island passerines. Without eradication of mosquitoes from Midway Atoll, however, periodic epizootics of <i>Avipoxvirus</i> among nestling seabirds will likely continue, and the introduction of malaria and passerine strains of <i>Avipoxvirus</i> from migratory birds will remain a long-term threat to passerine restoration programs.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Hawaii Cooperative Studies Unit Technical Report","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Univeristy of Hawaii","publisherLocation":"Hilo, HI","usgsCitation":"LaPointe, D.A., Atkinson, C.T., and Klavitter, J.L., 2013, Avian disease assessment in seabirds and non-native passerines birds at Midway Atoll NWR, iv, 32 p.","productDescription":"iv, 32 p.","numberOfPages":"38","ipdsId":"IP-052514","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":289362,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288196,"type":{"id":15,"text":"Index Page"},"url":"https://hilo.hawaii.edu/hcsu/publications.php"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Midway Atoll","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -177.650727,27.990571 ], [ -177.650727,28.480604 ], [ -177.087233,28.480604 ], [ -177.087233,27.990571 ], [ -177.650727,27.990571 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b7b0abe4b0388651d91649","contributors":{"authors":[{"text":"LaPointe, Dennis A.","contributorId":63900,"corporation":false,"usgs":true,"family":"LaPointe","given":"Dennis","email":"","middleInitial":"A.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":494532,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atkinson, Carter T. 0000-0002-4232-5335 catkinson@usgs.gov","orcid":"https://orcid.org/0000-0002-4232-5335","contributorId":1124,"corporation":false,"usgs":true,"family":"Atkinson","given":"Carter","email":"catkinson@usgs.gov","middleInitial":"T.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":494530,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klavitter, John L.","contributorId":23847,"corporation":false,"usgs":true,"family":"Klavitter","given":"John","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":494531,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70162099,"text":"70162099 - 2013 - First report of fasciation in Pitcher's Thistle, Cirsium pitcheri (Asteraceae)","interactions":[],"lastModifiedDate":"2016-06-17T13:59:00","indexId":"70162099","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5041,"text":"The Michigan Botanist","active":true,"publicationSubtype":{"id":10}},"title":"First report of fasciation in Pitcher's Thistle, Cirsium pitcheri (Asteraceae)","docAbstract":"<p>We document the first reported occurrence of fasciation in the federally threatened Pitcher&rsquo;s thistle, Cirsium pitcheri (Asteraceae). In 2013, we discovered two adult plants of Pitcher&rsquo;s thistle out of a total of 176 plants at West Beach, near Miller, Indiana, USA, that exhibited both normal and fasciated growth. Unlike plants with normal growth, a portion of the upper stems of these plants was flattened, and some flower heads were elongated into a fan-like shape. Each plant had one large fasciated terminal seed head and several less severely fasciated ancillary heads. The fasciated terminal head on one of the plants found produced an estimated 1153 seeds, whereas normal terminal heads typically produced 80 &plusmn; 9 viable seeds. The cause of this fasciation is unclear, but may be due to infection with phytoplasma</p>","language":"English","publisher":"The Michigan Botanical Club","usgsCitation":"Pavlovic, N.B., Korte, M.K., McEachern, K., and Grundel, R., 2013, First report of fasciation in Pitcher's Thistle, Cirsium pitcheri (Asteraceae): The Michigan Botanist, v. 52, no. 3-4, p. 58-66.","productDescription":"9 p.","startPage":"58","endPage":"66","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052724","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":323905,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":314282,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/2027/spo.0497763.0052.302"}],"volume":"52","issue":"3-4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57651f33e4b07657d19c789c","contributors":{"authors":[{"text":"Pavlovic, Noel B. 0000-0002-2335-2274 npavlovic@usgs.gov","orcid":"https://orcid.org/0000-0002-2335-2274","contributorId":1976,"corporation":false,"usgs":true,"family":"Pavlovic","given":"Noel","email":"npavlovic@usgs.gov","middleInitial":"B.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":588590,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Korte, Megan K mkorte@usgs.gov","contributorId":5540,"corporation":false,"usgs":true,"family":"Korte","given":"Megan","email":"mkorte@usgs.gov","middleInitial":"K","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":588591,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McEachern, Kathryn 0000-0003-2631-8247 kathryn_mceachern@usgs.gov","orcid":"https://orcid.org/0000-0003-2631-8247","contributorId":146324,"corporation":false,"usgs":true,"family":"McEachern","given":"Kathryn","email":"kathryn_mceachern@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":588592,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grundel, Ralph 0000-0002-2949-7087 rgrundel@usgs.gov","orcid":"https://orcid.org/0000-0002-2949-7087","contributorId":2444,"corporation":false,"usgs":true,"family":"Grundel","given":"Ralph","email":"rgrundel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":588593,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70155070,"text":"70155070 - 2013 - Quantitative and qualitative approaches to identifying migration chronology in a continental migrant","interactions":[],"lastModifiedDate":"2015-08-05T13:01:35","indexId":"70155070","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Quantitative and qualitative approaches to identifying migration chronology in a continental migrant","docAbstract":"<p>The degree to which extrinsic factors influence migration chronology in North American waterfowl has not been quantified, particularly for dabbling ducks. Previous studies have examined waterfowl migration using various methods, however, quantitative approaches to define avian migration chronology over broad spatio-temporal scales are limited, and the implications for using different approaches have not been assessed. We used movement data from 19 female adult mallards (Anas platyrhynchos) equipped with solar-powered global positioning system satellite transmitters to evaluate two individual level approaches for quantifying migration chronology. The first approach defined migration based on individual movements among geopolitical boundaries (state, provincial, international), whereas the second method modeled net displacement as a function of time using nonlinear models. Differences in migration chronologies identified by each of the approaches were examined with analysis of variance. The geopolitical method identified mean autumn migration midpoints at 15 November 2010 and 13 November 2011, whereas the net displacement method identified midpoints at 15 November 2010 and 14 November 2011. The mean midpoints for spring migration were 3 April 2011 and 20 March 2012 using the geopolitical method and 31 March 2011 and 22 March 2012 using the net displacement method. The duration, initiation date, midpoint, and termination date for both autumn and spring migration did not differ between the two individual level approaches. Although we did not detect differences in migration parameters between the different approaches, the net displacement metric offers broad potential to address questions in movement ecology for migrating species. Ultimately, an objective definition of migration chronology will allow researchers to obtain a comprehensive understanding of the extrinsic factors that drive migration at the individual and population levels. As a result, targeted conservation plans can be developed to support planning for habitat management and evaluation of long-term climate effects.</p>","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0075673","usgsCitation":"Beatty, W.S., Kesler, D.C., Webb, E.B., Raedeke, A.H., Naylor, L.W., and Humburg, D.D., 2013, Quantitative and qualitative approaches to identifying migration chronology in a continental migrant: PLoS ONE, p. 1-9, https://doi.org/10.1371/journal.pone.0075673.","productDescription":"e75673; 9 p.","startPage":"1","endPage":"9","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2010-09-01","temporalEnd":"2012-12-31","ipdsId":"IP-045956","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":473373,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0075673","text":"Publisher Index Page"},{"id":306440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-10-09","publicationStatus":"PW","scienceBaseUri":"57f7f1d6e4b0bc0bec0a0024","contributors":{"authors":[{"text":"Beatty, William S. 0000-0003-0013-3113","orcid":"https://orcid.org/0000-0003-0013-3113","contributorId":146301,"corporation":false,"usgs":false,"family":"Beatty","given":"William","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":567383,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kesler, Dylan C.","contributorId":14358,"corporation":false,"usgs":false,"family":"Kesler","given":"Dylan","email":"","middleInitial":"C.","affiliations":[{"id":6769,"text":"University of Missouri, Columbia, MO","active":true,"usgs":false}],"preferred":false,"id":567384,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":564764,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Raedeke, Andrew H.","contributorId":94083,"corporation":false,"usgs":true,"family":"Raedeke","given":"Andrew","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":567385,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Naylor, Luke W.","contributorId":145840,"corporation":false,"usgs":false,"family":"Naylor","given":"Luke","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":567386,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Humburg, Dale D.","contributorId":79357,"corporation":false,"usgs":false,"family":"Humburg","given":"Dale","email":"","middleInitial":"D.","affiliations":[{"id":13073,"text":"Ducks Unlimited, Inc.","active":true,"usgs":false}],"preferred":false,"id":567387,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70173640,"text":"70173640 - 2013 - Habitat, wildlife and one health:  <i>Arcanobacterium pyogenes</i> in Maryland and Upper Eastern Shore white-tailed deer populations","interactions":[],"lastModifiedDate":"2016-06-20T11:14:19","indexId":"70173640","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5083,"text":"Infection Ecology and Epidemiology","active":true,"publicationSubtype":{"id":10}},"title":"Habitat, wildlife and one health:  <i>Arcanobacterium pyogenes</i> in Maryland and Upper Eastern Shore white-tailed deer populations","docAbstract":"<p><i><strong>Background</strong></i>: Understanding the distribution of disease in wildlife is key to predicting the impact of emerging zoonotic one health concerns, especially for wildlife species with extensive human and livestock interfaces. The widespread distribution and complex interactions of white<strong>-</strong>tailed deer (<i>Odocoileus virginianus</i>) with humans suggest deer population health and management may have implications beyond stewardship of the animals. The intracranial abscessation suppurative meningitis (IASM) disease complex in deer has been linked to&nbsp;<i>Arcanobacterium pyogenes</i>, an under<strong>-</strong>diagnosed and often misdiagnosed organism considered commensal in domestic livestock but associated with serious disease in numerous species, including humans.</p>\n<p><i><strong>Methods</strong></i>: Our study used standard bacterial culture techniques to assess&nbsp;<i>A. pyogenes</i>prevalence among male deer sampled across six physiogeographic regions in Maryland and male and female deer in the Upper Eastern Shore under Traditional Deer Management (TDM) and Quality Deer Management (QDM), a management protocol that alters population demographics in favor of older male deer. Samples were collected from antler pedicles for males, the top of the head where pedicles would be if present for females, or the whole dorsal frontal area of the head for neonates. We collected nasal samples from all animals by swabbing the nasopharyngeal membranes. A gram stain and catalase test were conducted, and aerobic bacteria were identified to genus and species when possible. We evaluated the effect of region on whether deer carried&nbsp;<i>A. pyogenes</i>&nbsp;using Pearson's chi-square test with Yates&rsquo; continuity correction. For the white-tailed deer management study, we tested whether site, age class and sex predisposed animals to carrying&nbsp;<i>A. pyogenes</i>&nbsp;using binary logistic regression.</p>\n<p><i><strong>Results</strong></i>:&nbsp;<i>A. pyogenes</i>&nbsp;was detected on deer in three of the six regions studied, and was common in only one region, the Upper Eastern Shore. In the Upper Eastern Shore, 45% and 66% of antler and nasal swabs from deer were positive for&nbsp;<i>A. pyogenes</i>, respectively. On the Upper Eastern Shore, prevalence of&nbsp;<i>A. pyogenes</i>&nbsp;cultured from deer did not differ between management areas, and was abundant among both sexes and across all age classes. No&nbsp;<i>A. pyogenes</i>&nbsp;was cultured from a small sample of neonates.</p>\n<p><i><strong>Conclusion</strong></i>: Our study indicates&nbsp;<i>A. pyogenes</i>&nbsp;may be carried widely among white-tailed deer regardless of sex or age class, but we found no evidence the pathogen is acquired in utero. The distribution of&nbsp;<i>A. pyogenes</i>&nbsp;across regions and concentration in a region with low livestock levels suggests the potential for localized endemicity of the organism and the possibility that deer may serve as a maintenance reservoir for an emerging one health concern.</p>","language":"English","publisher":"Co-action Publishing","doi":"10.3402/iee.v3i0.19175","usgsCitation":"Turner, M.M., DePerno, C.S., Conner, M.C., Eyler, T.B., Lancia, R.A., Klaver, R.W., and Stoskopf, M.K., 2013, Habitat, wildlife and one health:  <i>Arcanobacterium pyogenes</i> in Maryland and Upper Eastern Shore white-tailed deer populations: Infection Ecology and Epidemiology, v. 3, Article 19175; 10 p., https://doi.org/10.3402/iee.v3i0.19175.","productDescription":"Article 19175; 10 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049673","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":473382,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3402/iee.v3i0.19175","text":"Publisher Index Page"},{"id":323982,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-08-06","publicationStatus":"PW","scienceBaseUri":"576913c9e4b07657d19ff0ee","contributors":{"authors":[{"text":"Turner, Melissa M.","contributorId":171529,"corporation":false,"usgs":false,"family":"Turner","given":"Melissa","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":637848,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DePerno, Christopher S.","contributorId":10327,"corporation":false,"usgs":true,"family":"DePerno","given":"Christopher","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":637849,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conner, Mark C.","contributorId":171530,"corporation":false,"usgs":false,"family":"Conner","given":"Mark","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":637850,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eyler, T. Brian","contributorId":171531,"corporation":false,"usgs":false,"family":"Eyler","given":"T.","email":"","middleInitial":"Brian","affiliations":[],"preferred":false,"id":637851,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lancia, Richard A.","contributorId":14073,"corporation":false,"usgs":true,"family":"Lancia","given":"Richard","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":637852,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637440,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stoskopf, Michael K.","contributorId":83817,"corporation":false,"usgs":true,"family":"Stoskopf","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":637853,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70171458,"text":"70171458 - 2013 - Emulating natural disturbances for declining late-successional species: A case study of the consequences for Cerulean Warblers (<i>Setophaga cerulea</i>)","interactions":[],"lastModifiedDate":"2016-05-31T15:39:54","indexId":"70171458","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Emulating natural disturbances for declining late-successional species: A case study of the consequences for Cerulean Warblers (<i>Setophaga cerulea</i>)","docAbstract":"<p><span>Forest cover in the eastern United States has increased over the past century and while some late-successional species have benefited from this process as expected, others have experienced population declines. These declines may be in part related to contemporary reductions in small-scale forest interior disturbances such as fire, windthrow, and treefalls. To mitigate the negative impacts of disturbance alteration and suppression on some late-successional species, strategies that emulate natural disturbance regimes are often advocated, but large-scale evaluations of these practices are rare. Here, we assessed the consequences of experimental disturbance (using partial timber harvest) on a severely declining late-successional species, the cerulean warbler (</span><i>Setophaga cerulea</i><span>), across the core of its breeding range in the Appalachian Mountains. We measured numerical (density), physiological (body condition), and demographic (age structure and reproduction) responses to three levels of disturbance and explored the potential impacts of disturbance on source-sink dynamics. Breeding densities of warblers increased one to four years after all canopy disturbances (vs. controls) and males occupying territories on treatment plots were in better condition than those on control plots. However, these beneficial effects of disturbance did not correspond to improvements in reproduction; nest success was lower on all treatment plots than on control plots in the southern region and marginally lower on light disturbance plots in the northern region. Our data suggest that only habitats in the southern region acted as sources, and interior disturbances in this region have the potential to create ecological traps at a local scale, but sources when viewed at broader scales. Thus, cerulean warblers would likely benefit from management that strikes a landscape-level balance between emulating natural disturbances in order to attract individuals into areas where current structure is inappropriate, and limiting anthropogenic disturbance in forests that already possess appropriate structural attributes in order to maintain maximum productivity.</span></p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0052107","usgsCitation":"Boves, T.J., Buehler, D.A., Sheehan, J., Wood, P.B., Rodewald, A.D., Larkin, J.L., Keyser, P.D., Newell, F.L., George, G.A., Bakermans, M.H., Evans, A., Beachy, T.A., McDermott, M., Perkins, K.A., White, M., and Wigley, T.B., 2013, Emulating natural disturbances for declining late-successional species: A case study of the consequences for Cerulean Warblers (<i>Setophaga cerulea</i>): PLoS ONE, v. 8, no. 1, p. 1-13, https://doi.org/10.1371/journal.pone.0052107.","productDescription":"e52107; 13 p.","startPage":"1","endPage":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037905","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":473374,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0052107","text":"Publisher Index Page"},{"id":321945,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-01-04","publicationStatus":"PW","scienceBaseUri":"574eb5c4e4b0ee97d51a83b2","contributors":{"authors":[{"text":"Boves, Than J.","contributorId":169750,"corporation":false,"usgs":false,"family":"Boves","given":"Than","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":631075,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buehler, David A.","contributorId":169746,"corporation":false,"usgs":false,"family":"Buehler","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":631072,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sheehan, James","contributorId":169745,"corporation":false,"usgs":false,"family":"Sheehan","given":"James","email":"","affiliations":[],"preferred":false,"id":631073,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wood, Petra Bohall pbwood@usgs.gov","contributorId":1791,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","middleInitial":"Bohall","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":631070,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rodewald, Amanda D.","contributorId":169748,"corporation":false,"usgs":false,"family":"Rodewald","given":"Amanda","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":631071,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Larkin, Jeffrey L.","contributorId":169747,"corporation":false,"usgs":false,"family":"Larkin","given":"Jeffrey","email":"","middleInitial":"L.","affiliations":[{"id":34542,"text":"Department of Biology. Indiana University of Pennsylvania","active":true,"usgs":false},{"id":17929,"text":"American Bird Conservancy","active":true,"usgs":false}],"preferred":false,"id":631074,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Keyser, Patrick D.","contributorId":146945,"corporation":false,"usgs":false,"family":"Keyser","given":"Patrick","email":"","middleInitial":"D.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":631109,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Newell, Felicity L.","contributorId":169755,"corporation":false,"usgs":false,"family":"Newell","given":"Felicity","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":631110,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"George, Gregory A.","contributorId":169751,"corporation":false,"usgs":false,"family":"George","given":"Gregory","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":631111,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bakermans, Marja H.","contributorId":169752,"corporation":false,"usgs":false,"family":"Bakermans","given":"Marja","email":"","middleInitial":"H.","affiliations":[{"id":33354,"text":"Worcester Polytechnic Institute","active":true,"usgs":false}],"preferred":false,"id":631112,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Evans, Andrea","contributorId":169754,"corporation":false,"usgs":false,"family":"Evans","given":"Andrea","email":"","affiliations":[],"preferred":false,"id":631113,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Beachy, Tiffany A.","contributorId":169753,"corporation":false,"usgs":false,"family":"Beachy","given":"Tiffany","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":631114,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"McDermott, Molly E. 0000-0002-0000-0831","orcid":"https://orcid.org/0000-0002-0000-0831","contributorId":169743,"corporation":false,"usgs":false,"family":"McDermott","given":"Molly E.","affiliations":[],"preferred":false,"id":631115,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Perkins, Kelly A.","contributorId":169756,"corporation":false,"usgs":false,"family":"Perkins","given":"Kelly","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":631116,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"White, Matthew","contributorId":169757,"corporation":false,"usgs":false,"family":"White","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":631117,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Wigley, T. Bently","contributorId":169749,"corporation":false,"usgs":false,"family":"Wigley","given":"T.","email":"","middleInitial":"Bently","affiliations":[],"preferred":false,"id":631118,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
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