{"pageNumber":"175","pageRowStart":"4350","pageSize":"25","recordCount":10462,"records":[{"id":70038916,"text":"70038916 - 2012 - Adaptive breeding habitat selection: Is it for the birds?","interactions":[],"lastModifiedDate":"2017-05-07T10:34:55","indexId":"70038916","displayToPublicDate":"2012-11-24T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Adaptive breeding habitat selection: Is it for the birds?","docAbstract":"The question of why animals choose particular habitats has important implications for understanding behavioral evolution and distribution of organisms in the wild and for delineating between habitats of different quality for conservation and management. Habitats chosen by animals can influence fitness outcomes via the costs (e.g., predation risk) and benefits (e.g., food availability) of habitat use. Habitat preferences should therefore be under selection to favor those that confer fitness advantages (Clark and Shutler 1999). Indeed, prevailing theory suggests that the habitat preferences of animals should be adaptive, such that fitness is higher in preferred habitats (Hildén 1965, Southwood 1977, Martin 1998). However, studies have often identified apparent mismatches between observed habitat preferences and fitness outcomes across a wide variety of taxa (Valladares and Lawton 1991, Mayhew 1997, Kolbe and Janzen 2002, Arlt and Pärt 2007, Mägi et al. 2009). Certainly, one limitation of studies may be that assessment of “fitness” is typically constrained to fitness surrogates such as nest success rather than lifetime reproductive success or classic Fisherian fitness (Endler 1986). Nevertheless, important habitat choices such as nest sites influence the probability that temporarily sedentary, dependent young are discovered by enemies such as predators and parasites. We therefore expect, on average, to see congruence between evolved habitat preferences and relevant components of fitness (e.g., nest success). Here, we (1) review the prevalence of apparent mismatches between avian breeding-habitat preferences and fitness outcomes using nest-site selection as a focus; (2) describe several potential mechanisms for such mismatches, including anthropogenic, methodological, and ecological–evolutionary; and (3) suggest a framework for understanding the contexts in which habitat preferences represent adaptive decisions, with a primary focus on ecological information theory. We largely focus on habitat selection as a behavioral process at the scale of individuals (e.g., Robertson and Hutto 2006), rather than at the scale of population-level patterns (Fretwell and Lucas 1970, Morris 2003, Johnson 2007). However, these two scales cannot be wholly divorced from one another, as we will discuss.","language":"English","publisher":"American Ornithological Society","doi":"10.1525/auk.2012.129.4.589","usgsCitation":"Chalfoun, A., and Schmidt, K.A., 2012, Adaptive breeding habitat selection: Is it for the birds?: The Auk, v. 129, no. 4, p. 589-599, https://doi.org/10.1525/auk.2012.129.4.589.","productDescription":"11 p.","startPage":"589","endPage":"599","ipdsId":"IP-038678","costCenters":[{"id":683,"text":"Wyoming Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":474258,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/auk.2012.129.4.589","text":"Publisher Index Page"},{"id":263350,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"129","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50b1ec76e4b0d1ade0ddf938","contributors":{"authors":[{"text":"Chalfoun, Anna D.","contributorId":36794,"corporation":false,"usgs":true,"family":"Chalfoun","given":"Anna D.","affiliations":[],"preferred":false,"id":465228,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmidt, Kenneth A.","contributorId":62486,"corporation":false,"usgs":true,"family":"Schmidt","given":"Kenneth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":465229,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70039417,"text":"70039417 - 2012 - A comparative and experimental evaluation of performance of stocked diploid and triploid brook trout","interactions":[],"lastModifiedDate":"2012-11-24T11:32:33","indexId":"70039417","displayToPublicDate":"2012-11-24T00:00:00","publicationYear":"2012","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":"A comparative and experimental evaluation of performance of stocked diploid and triploid brook trout","docAbstract":"Despite numerous negative impacts, nonnative trout are still being stocked to provide economically and socially valuable sport fisheries in western mountain lakes. We evaluated relative performance and potential differences in feeding strategy and competitive ability of triploid versus diploid brook trout <i>Salvelinus fontinalis</i> in alpine lakes, as well as behavioral and performance differences of diploid and triploid brook trout in two controlled experimental settings: behavioral experiments in the laboratory and performance evaluations in ponds. Across lakes, catch per unit effort (CPUE) and relative weight (Wr ) were not significantly different between ploidy levels. Mean sizes were also similar between ploidy levels except in two of the larger lakes where diploids attained slightly larger sizes (approximately 20 mm longer). We observed no significant differences between diploids and triploids in diet, diet preference, or trophic structure. Similarly, growth and condition did not differ between ploidy levels in smaller-scale pond experiments, and aggressive behavior did not differ between ploidy levels (fed or unfed fish trials) in the laboratory. Independent of ploidy level, the relative performance of brook trout varied widely among lakes, a pattern that appeared to be a function of lake size or a factor that covaries with lake size such as temperature regime or carrying capacity. In summary, we observed no significant differences in the relative performance of brook trout from either ploidy level across a number of indices, systems, and environmental conditions, nor any indication that one group is more aggressive or a superior competitor than the other. Collectively, these results suggest that triploid brook trout will offer a more risk-averse and promising management opportunity when they are stocked to these lakes and elsewhere to simultaneously meet the needs for the sport fishery and conservation objectives.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/02755947.2012.728172","usgsCitation":"Budy, P.E., Thiede, G., Dean, A., Olsen, D., and Rowley, G., 2012, A comparative and experimental evaluation of performance of stocked diploid and triploid brook trout: North American Journal of Fisheries Management, v. 32, no. 6, p. 1211-1224, https://doi.org/10.1080/02755947.2012.728172.","productDescription":"14 p.","startPage":"1211","endPage":"1224","ipdsId":"IP-039560","costCenters":[{"id":609,"text":"Utah Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":263348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263347,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2012.728172"}],"volume":"32","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-11-12","publicationStatus":"PW","scienceBaseUri":"50b1ec67e4b0d1ade0ddf934","contributors":{"authors":[{"text":"Budy, Phaedra E. pbudy@usgs.gov","contributorId":2232,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra","email":"pbudy@usgs.gov","middleInitial":"E.","affiliations":[{"id":322,"text":"Grand Canyon Monitoring and Research Center","active":false,"usgs":true}],"preferred":false,"id":466203,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thiede, G.P.","contributorId":19448,"corporation":false,"usgs":true,"family":"Thiede","given":"G.P.","email":"","affiliations":[],"preferred":false,"id":466204,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dean, A.","contributorId":45595,"corporation":false,"usgs":true,"family":"Dean","given":"A.","email":"","affiliations":[],"preferred":false,"id":466205,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olsen, D.","contributorId":47662,"corporation":false,"usgs":true,"family":"Olsen","given":"D.","email":"","affiliations":[],"preferred":false,"id":466206,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rowley, G.","contributorId":54084,"corporation":false,"usgs":true,"family":"Rowley","given":"G.","email":"","affiliations":[],"preferred":false,"id":466207,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70182150,"text":"70182150 - 2012 - Soil-water dynamics and unsaturated storage during snowmelt following wildfire","interactions":[],"lastModifiedDate":"2017-02-17T10:02:03","indexId":"70182150","displayToPublicDate":"2012-11-22T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Soil-water dynamics and unsaturated storage during snowmelt following wildfire","docAbstract":"<p><span>Many forested watersheds with a substantial fraction of precipitation delivered as snow have the potential for landscape disturbance by wildfire. Little is known about the immediate effects of wildfire on snowmelt and near-surface hydrologic responses, including soil-water storage. Montane systems at the rain-snow transition have soil-water dynamics that are further complicated during the snowmelt period by strong aspect controls on snowmelt and soil thawing. Here we present data from field measurements of snow hydrology and subsurface hydrologic and temperature responses during the first winter and spring after the September 2010 Fourmile Canyon Fire in Colorado, USA. Our observations of soil-water content and soil temperature show sharp contrasts in hydrologic and thermal conditions between north- and south-facing slopes. South-facing burned soils were ∼1–2 °C warmer on average than north-facing burned soils and ∼1.5 °C warmer than south-facing unburned soils, which affected soil thawing during the snowmelt period. Soil-water dynamics also differed by aspect: in response to soil thawing, soil-water content increased approximately one month earlier on south-facing burned slopes than on north-facing burned slopes. While aspect and wildfire affect soil-water dynamics during snowmelt, soil-water storage at the end of the snowmelt period reached the value at field capacity for each plot, suggesting that post-snowmelt unsaturated storage was not substantially influenced by aspect in wildfire-affected areas. Our data and analysis indicate that the amount of snowmelt-driven groundwater recharge may be larger in wildfire-impacted areas, especially on south-facing slopes, because of earlier soil thaw and longer durations of soil-water contents above field capacity in those areas.</span></p>","language":"English","publisher":"European Geophysical Society","publisherLocation":"Katlenburg-Lindau","doi":"10.5194/hess-16-1401-2012","usgsCitation":"Ebel, B.A., Hinckley, E., and Martin, D.A., 2012, Soil-water dynamics and unsaturated storage during snowmelt following wildfire: Hydrology and Earth System Sciences, v. 16, p. 1401-1417, https://doi.org/10.5194/hess-16-1401-2012.","productDescription":"17 p.","startPage":"1401","endPage":"1417","ipdsId":"IP-034382","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":474259,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-16-1401-2012","text":"Publisher Index Page"},{"id":335802,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2012-05-15","publicationStatus":"PW","scienceBaseUri":"58a819b8e4b025c46429afd0","contributors":{"authors":[{"text":"Ebel, Brian A. 0000-0002-5413-3963 bebel@usgs.gov","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":2557,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian","email":"bebel@usgs.gov","middleInitial":"A.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":669794,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hinckley, E.S.","contributorId":181852,"corporation":false,"usgs":false,"family":"Hinckley","given":"E.S.","email":"","affiliations":[],"preferred":false,"id":669824,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Deborah A. 0000-0001-8237-0838 damartin@usgs.gov","orcid":"https://orcid.org/0000-0001-8237-0838","contributorId":168662,"corporation":false,"usgs":true,"family":"Martin","given":"Deborah","email":"damartin@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":669795,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70177017,"text":"70177017 - 2012 - Modeling future conservation of Hawaiian Honeycreepers by mosquito management and translocation of disease-tolerant Amakihi","interactions":[],"lastModifiedDate":"2016-12-07T16:55:51","indexId":"70177017","displayToPublicDate":"2012-11-20T17:15:00","publicationYear":"2012","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":"Modeling future conservation of Hawaiian Honeycreepers by mosquito management and translocation of disease-tolerant Amakihi","docAbstract":"<p>Avian malaria is an important cause of the decline of endemic Hawaiian honeycreepers. Because of the complexity of this disease system we used a computer model of avian malaria in forest birds to evaluate how two proposed conservation strategies: 1) reduction of habitat for mosquito larvae and 2) establishment of a low-elevation, malaria-tolerant honeycreeper (Hawaii Amakihi) to mid-elevation forests would affect native Hawaiian honeycreeper populations. We evaluated these approaches in mid-elevation forests, where malaria transmission is seasonal and control strategies are more likely to work. Our model suggests the potential benefit of larval habitat reduction depends on the level of malaria transmission, abundance of larval cavities, and the ability to substantially reduce these cavities. Permanent reduction in larval habitat of &gt;80% may be needed to control abundance of infectious mosquitoes and benefit bird populations. Establishment of malaria-tolerant Amakihi in mid-elevation forests increases Amakihi abundance, creates a larger disease reservoir, and increases the abundance of infectious mosquitoes which may negatively impact other honeycreepers. For mid-elevation sites where bird populations are severely affected by avian malaria, malaria-tolerant Amakihi had little impact on other honeycreepers. Both management strategies may benefit native Hawaiian honeycreepers, but benefits depend on specific forest characteristics, the amount of reduction in larval habitat that can be achieved, and how malaria transmission is affected by temperature.</p>","language":"English","publisher":"PLoS One","doi":"10.1371/journal.pone.0049594","usgsCitation":"Hobbelen, P.H., Samuel, M.D., Lapointe, D., and Atkinson, C.T., 2012, Modeling future conservation of Hawaiian Honeycreepers by mosquito management and translocation of disease-tolerant Amakihi: PLoS ONE, v. 7, no. 11, e49594; 9 p., https://doi.org/10.1371/journal.pone.0049594.","productDescription":"e49594; 9 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-032865","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":474260,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0049594","text":"Publisher Index Page"},{"id":329766,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.45104980468747,\n              19.173707101602126\n            ],\n            [\n              -155.45104980468747,\n              19.753779295786902\n            ],\n            [\n              -154.7918701171875,\n              19.753779295786902\n            ],\n            [\n              -154.7918701171875,\n              19.173707101602126\n            ],\n            [\n              -155.45104980468747,\n              19.173707101602126\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","issue":"11","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-11-20","publicationStatus":"PW","scienceBaseUri":"58088688e4b0f497e78e24d7","contributors":{"authors":[{"text":"Hobbelen, Peter H. F.","contributorId":175389,"corporation":false,"usgs":false,"family":"Hobbelen","given":"Peter","email":"","middleInitial":"H. F.","affiliations":[],"preferred":false,"id":650994,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Samuel, Michael D. msamuel@usgs.gov","contributorId":1419,"corporation":false,"usgs":true,"family":"Samuel","given":"Michael","email":"msamuel@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":650993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LaPointe, Dennis A. 0000-0002-6323-263X dlapointe@usgs.gov","orcid":"https://orcid.org/0000-0002-6323-263X","contributorId":150365,"corporation":false,"usgs":true,"family":"LaPointe","given":"Dennis","email":"dlapointe@usgs.gov","middleInitial":"A.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":650992,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":650991,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70041067,"text":"70041067 - 2012 - Phenology and duration of remigial moult in Surf Scoters (<i>Melanitta perspicillata</i>) and White-winged Scoters (<i>Melanitta fusca</i>) on the Pacific coast of North America","interactions":[],"lastModifiedDate":"2018-06-12T21:19:36","indexId":"70041067","displayToPublicDate":"2012-11-20T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1176,"text":"Canadian Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Phenology and duration of remigial moult in Surf Scoters (<i>Melanitta perspicillata</i>) and White-winged Scoters (<i>Melanitta fusca</i>) on the Pacific coast of North America","docAbstract":"By quantifying phenology and duration of remigial moult in Surf Scoters (<i>Melanitta perspicillata</i> (L., 1758)) and White-winged Scoters (<i>Melanitta fusca</i> (L., 1758)), we tested whether timing of moult is dictated by temporal optima or constraints. Scoters (n = 3481) were captured during moult in Alaska, British Columbia, and Washington, and remigial emergence dates were determined. We provide evidence for a pre-emergence interval of 7.3 days that occurs after old primaries are shed and before new ones become visible. All age and sex classes of both scoter species exhibited a wide range of emergence dates (Surf Scoters: 26 June to 22 September; White-winged Scoters: 6 July to 21 September) suggestive of a lack of strong temporal optima for remigial moult. For both species, timing of moult was influenced by site, year, age, and sex. Relative to other waterfowl species, scoters have typical remigial growth rates (Surf Scoters: 3.9 mm·day<sup>–1</sup>; White-winged Scoters: 4.3 mm·day<sup>–1</sup>) but a long flightless period (34–49 days), in part because their relatively high wing-loading requires a greater proportion of feather regrowth to regain flight. Our data suggest that moulting scoters are not under strong selective pressure to complete moult quickly.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Zoology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Canadian Science Publishing","publisherLocation":"Ottawa, Ontario","doi":"10.1139/z2012-061","usgsCitation":"Dickson, R., Esler, D., Hupp, J.W., Anderson, E., Evenson, J., and Barrett, J., 2012, Phenology and duration of remigial moult in Surf Scoters (<i>Melanitta perspicillata</i>) and White-winged Scoters (<i>Melanitta fusca</i>) on the Pacific coast of North America: Canadian Journal of Zoology, v. 90, no. 8, p. 932-944, https://doi.org/10.1139/z2012-061.","productDescription":"13 p.","startPage":"932","endPage":"944","onlineOnly":"N","ipdsId":"IP-039620","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":263486,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263485,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/z2012-061"}],"country":"Canada;United States","state":"Alaska;British Columbia;Washington","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -175.5,46.15 ], [ -175.5,63.3 ], [ -121.0,63.3 ], [ -121.0,46.15 ], [ -175.5,46.15 ] ] ] } } ] }","volume":"90","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e107c1e4b0fec3206f2695","contributors":{"authors":[{"text":"Dickson, Rian D.","contributorId":96983,"corporation":false,"usgs":true,"family":"Dickson","given":"Rian D.","affiliations":[],"preferred":false,"id":469325,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esler, Daniel 0000-0001-5501-4555 desler@usgs.gov","orcid":"https://orcid.org/0000-0001-5501-4555","contributorId":5465,"corporation":false,"usgs":true,"family":"Esler","given":"Daniel","email":"desler@usgs.gov","affiliations":[{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":469322,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hupp, Jerry W. 0000-0002-6439-3910 jhupp@usgs.gov","orcid":"https://orcid.org/0000-0002-6439-3910","contributorId":127803,"corporation":false,"usgs":true,"family":"Hupp","given":"Jerry","email":"jhupp@usgs.gov","middleInitial":"W.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":469321,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, E.M.","contributorId":48403,"corporation":false,"usgs":true,"family":"Anderson","given":"E.M.","email":"","affiliations":[],"preferred":false,"id":469324,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Evenson, J.R.","contributorId":105927,"corporation":false,"usgs":true,"family":"Evenson","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":469326,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barrett, J.","contributorId":48275,"corporation":false,"usgs":true,"family":"Barrett","given":"J.","email":"","affiliations":[],"preferred":false,"id":469323,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70040837,"text":"70040837 - 2012 - Environmental fate model for ultra-low-volume insecticide applications used for adult mosquito management","interactions":[],"lastModifiedDate":"2012-11-20T20:31:43","indexId":"70040837","displayToPublicDate":"2012-11-20T00:00:00","publicationYear":"2012","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":"Environmental fate model for ultra-low-volume insecticide applications used for adult mosquito management","docAbstract":"One of the more effective ways of managing high densities of adult mosquitoes that vector human and animal pathogens is ultra-low-volume (ULV) aerosol applications of insecticides. The U.S. Environmental Protection Agency uses models that are not validated for ULV insecticide applications and exposure assumptions to perform their human and ecological risk assessments. Currently, there is no validated model that can accurately predict deposition of insecticides applied using ULV technology for adult mosquito management. In addition, little is known about the deposition and drift of small droplets like those used under conditions encountered during ULV applications. The objective of this study was to perform field studies to measure environmental concentrations of insecticides and to develop a validated model to predict the deposition of ULV insecticides. The final regression model was selected by minimizing the Bayesian Information Criterion and its prediction performance was evaluated using <i>k</i>-fold cross validation. Density of the formulation and the density and CMD interaction coefficients were the largest in the model. The results showed that as density of the formulation decreases, deposition increases. The interaction of density and CMD showed that higher density formulations and larger droplets resulted in greater deposition. These results are supported by the aerosol physics literature. A <i>k</i>-fold cross validation demonstrated that the mean square error of the selected regression model is not biased, and the mean square error and mean square prediction error indicated good predictive ability.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.scitotenv.2012.07.059","usgsCitation":"Schleier, J.J., Peterson, R.K., Irvine, K.M., Marshall, L.M., Weaver, D.K., and Preftakes, C.J., 2012, Environmental fate model for ultra-low-volume insecticide applications used for adult mosquito management: Science of the Total Environment, v. 438, p. 72-79, https://doi.org/10.1016/j.scitotenv.2012.07.059.","productDescription":"8 p.","startPage":"72","endPage":"79","numberOfPages":"7","ipdsId":"IP-035733","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":263336,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263335,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2012.07.059"}],"volume":"438","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50aca66ce4b0ae6a8f88bb9a","contributors":{"authors":[{"text":"Schleier, Jerome J. III","contributorId":22220,"corporation":false,"usgs":true,"family":"Schleier","given":"Jerome","suffix":"III","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":469105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, Robert K.D.","contributorId":17890,"corporation":false,"usgs":true,"family":"Peterson","given":"Robert","email":"","middleInitial":"K.D.","affiliations":[],"preferred":false,"id":469104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irvine, Kathryn M. 0000-0002-6426-940X kirvine@usgs.gov","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":2218,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","email":"kirvine@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":469103,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marshall, Lucy M.","contributorId":58162,"corporation":false,"usgs":true,"family":"Marshall","given":"Lucy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":469107,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weaver, David K.","contributorId":56941,"corporation":false,"usgs":true,"family":"Weaver","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":469106,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Preftakes, Collin J.","contributorId":75032,"corporation":false,"usgs":true,"family":"Preftakes","given":"Collin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":469108,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70040801,"text":"70040801 - 2012 - Disseminated toxoplasmosis in Antillean manatees Trichechus manatus manatus from Puerto Rico","interactions":[],"lastModifiedDate":"2012-11-19T12:11:47","indexId":"70040801","displayToPublicDate":"2012-11-19T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1396,"text":"Diseases of Aquatic Organisms","active":true,"publicationSubtype":{"id":10}},"title":"Disseminated toxoplasmosis in Antillean manatees Trichechus manatus manatus from Puerto Rico","docAbstract":"Necropsies were conducted on 4 Antillean manatees <i>Trichechus manatus manatus</i> that were stranded in single events on the coastal beaches of Puerto Rico from August 2010 to August 2011. Three manatees were emaciated and the gastrointestinal tracts were devoid of digesta. Microscopically, all manatees had severe widespread inflammatory lesions of the gastrointestinal tract and heart with intralesional tachyzoites consistent with <i>Toxoplasma gondii</i> identified by histological, ultrastructural and immunohistochemical techniques. The gastrointestinal lesions included severe, multifocal to diffuse, chronic-active enteritis, colitis and/or gastritis often with associated ulceration, necrosis and hemorrhage. Enteric leiomyositis was severe and locally extensive in all cases and associated with the most frequently observed intralesional protozoans. Moderate to severe, multifocal, chronic to chronic-active, necrotizing myocarditis was also present in all cases. Additionally, less consistent inflammatory lesions occurred in the liver, lung and a mesenteric lymph node and were associated with fewer tachyzoites. Sera (n = 30) collected from free-ranging and captive Puerto Rican manatees and a rehabilitated/released Puerto Rican manatee from 2003 to 2012 were tested for antibodies for <i>T. gondii</i>. A positive <i>T. gondii</i> antibody titer was found in 2004 in 1 (3%) of the free-ranging cases tested. Disease caused by <i>T. gondii</i> is rare in manatees. This is the first report of toxoplasmosis in Antillean manatees from Puerto Rico. Additionally, these are the first reported cases of disseminated toxoplasmosis in any sirenian. The documentation of 4 cases of toxoplasmosis within one year and the extremely low seroprevalence to <i>T. gondii</i>suggest that toxoplasmosis may be an emerging disease in Antillean manatees from Puerto Rico.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Diseases of Aquatic Organisms","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Inter-Research","publisherLocation":"Oldendorf/Luhe, Germany","doi":"10.3354/dao02526","usgsCitation":"Bossart, G.D., Mignucci-Ginannoni, A.A., Rivera-Guzman, A.L., Jimenez-Marrero, N.M., Camus, A.C., Bonde, R.K., Dubey, J.P., and Reif, J.S., 2012, Disseminated toxoplasmosis in Antillean manatees Trichechus manatus manatus from Puerto Rico: Diseases of Aquatic Organisms, v. 101, no. 2, p. 139-144, https://doi.org/10.3354/dao02526.","productDescription":"6 p.","startPage":"139","endPage":"144","ipdsId":"IP-038778","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":474264,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/dao02526","text":"Publisher Index Page"},{"id":263266,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263265,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3354/dao02526"}],"country":"Puerto Rico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -67.9455,17.8814 ], [ -67.9455,18.516 ], [ -65.2211,18.516 ], [ -65.2211,17.8814 ], [ -67.9455,17.8814 ] ] ] } } ] }","volume":"101","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50abfb6fe4b0afbc75eb9801","contributors":{"authors":[{"text":"Bossart, Gregory D.","contributorId":46678,"corporation":false,"usgs":true,"family":"Bossart","given":"Gregory","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":469054,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mignucci-Ginannoni, Antonio A.","contributorId":106385,"corporation":false,"usgs":true,"family":"Mignucci-Ginannoni","given":"Antonio","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":469058,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rivera-Guzman, Antonio L.","contributorId":47254,"corporation":false,"usgs":true,"family":"Rivera-Guzman","given":"Antonio","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":469055,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jimenez-Marrero, Nilda M.","contributorId":77007,"corporation":false,"usgs":true,"family":"Jimenez-Marrero","given":"Nilda","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":469057,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Camus, Alvin C.","contributorId":42492,"corporation":false,"usgs":true,"family":"Camus","given":"Alvin","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":469053,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bonde, Robert K. 0000-0001-9179-4376 rbonde@usgs.gov","orcid":"https://orcid.org/0000-0001-9179-4376","contributorId":2675,"corporation":false,"usgs":true,"family":"Bonde","given":"Robert","email":"rbonde@usgs.gov","middleInitial":"K.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":469051,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dubey, Jitender P.","contributorId":41707,"corporation":false,"usgs":true,"family":"Dubey","given":"Jitender","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":469052,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reif, John S.","contributorId":60086,"corporation":false,"usgs":true,"family":"Reif","given":"John","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":469056,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70043929,"text":"70043929 - 2012 - An accessible method for implementing hierarchical models with spatio-temporal abundance data","interactions":[],"lastModifiedDate":"2017-05-05T11:02:04","indexId":"70043929","displayToPublicDate":"2012-11-16T00:00:00","publicationYear":"2012","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":"An accessible method for implementing hierarchical models with spatio-temporal abundance data","docAbstract":"A common goal in ecology and wildlife management is to determine the causes of variation in population dynamics over long periods of time and across large spatial scales. Many assumptions must nevertheless be overcome to make appropriate inference about spatio-temporal variation in population dynamics, such as autocorrelation among data points, excess zeros, and observation error in count data. To address these issues, many scientists and statisticians have recommended the use of Bayesian hierarchical models. Unfortunately, hierarchical statistical models remain somewhat difficult to use because of the necessary quantitative background needed to implement them, or because of the computational demands of using Markov Chain Monte Carlo algorithms to estimate parameters. Fortunately, new tools have recently been developed that make it more feasible for wildlife biologists to fit sophisticated hierarchical Bayesian models (i.e., Integrated Nested Laplace Approximation, ‘INLA’). We present a case study using two important game species in North America, the lesser and greater scaup, to demonstrate how INLA can be used to estimate the parameters in a hierarchical model that decouples observation error from process variation, and accounts for unknown sources of excess zeros as well as spatial and temporal dependence in the data. Ultimately, our goal was to make unbiased inference about spatial variation in population trends over time.","largerWorkTitle":"PLoS ONE","language":"English","doi":"10.1371/journal.pone.0049395","usgsCitation":"Ross, B., Hooten, M.B., and Koons, D.N., 2012, An accessible method for implementing hierarchical models with spatio-temporal abundance data: PLoS ONE, v. 7, no. 11, p. 1-8, https://doi.org/10.1371/journal.pone.0049395.","productDescription":"8 p.","startPage":"1","endPage":"8","ipdsId":"IP-037978","costCenters":[{"id":189,"text":"Colorado Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":474266,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0049395","text":"Publisher Index Page"},{"id":268000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":267999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0049395"}],"volume":"7","issue":"11","noUsgsAuthors":false,"publicationDate":"2012-11-16","publicationStatus":"PW","scienceBaseUri":"5129f30ae4b04edf7e93f841","contributors":{"authors":[{"text":"Ross, Beth E.","contributorId":56124,"corporation":false,"usgs":true,"family":"Ross","given":"Beth E.","affiliations":[],"preferred":false,"id":474486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Melvin B.","contributorId":45978,"corporation":false,"usgs":true,"family":"Hooten","given":"Melvin","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":474485,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koons, David N.","contributorId":28137,"corporation":false,"usgs":false,"family":"Koons","given":"David","email":"","middleInitial":"N.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":474484,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70040717,"text":"70040717 - 2012 - Salinity of the Little Colorado River in Grand Canyon confers anti-parasitic properties on a native fish","interactions":[],"lastModifiedDate":"2021-01-05T19:07:48.575073","indexId":"70040717","displayToPublicDate":"2012-11-14T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Salinity of the Little Colorado River in Grand Canyon confers anti-parasitic properties on a native fish","docAbstract":"Water in the Little Colorado River within Grand Canyon is naturally high in salt (NaCl), which is known to prohibit development of external fish parasites such as Ich (<i>Ichthyophthirius multifiliis</i>). The naturally high salinity (>0.3%) of the Little Colorado River at baseflow may be one factor allowing survival and persistence of larval and juvenile humpback chub (<i>Gila cypha</i>) and other native fishes in Grand Canyon. We compared salinity readings from the Little Colorado River to those reported in the literature as being effective at removing protozoan parasites from fish. In laboratory tests, 10 juvenile roundtail chub (<i>Gila robusta</i>; 61–90 mm TL) were randomly placed into each of 12, 37-L aquaria filled with freshwater, water obtained from the Little Colorado River (0.3% salinity), or freshwater with table salt added until the salinity reached 0.3%. Roundtail chub was used as a surrogate for humpback chub in this study because the species is not listed as endangered but is morphologically and ecologically similar to humpback chub. All roundtail chub infected with Ich recovered and survived when placed in water from the Little Colorado River or water with 0.3% salinity, but all experimental fish placed in freshwater died because of Ich infection. The naturally high salinity of the Little Colorado River at baseflow (0.22%–0.36%), appears sufficiently high to interrupt the life cycle of Ich and may allow increased survival of larval and juvenile humpback chub relative to other areas within Grand Canyon.","language":"English","publisher":"Brigham Young University","doi":"10.3398/064.072.0307","usgsCitation":"Ward, D.L., 2012, Salinity of the Little Colorado River in Grand Canyon confers anti-parasitic properties on a native fish: Western North American Naturalist, v. 72, no. 3, p. 334-338, https://doi.org/10.3398/064.072.0307.","productDescription":"5 p.","startPage":"334","endPage":"338","ipdsId":"IP-033818","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":488983,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol72/iss3/7","text":"External Repository"},{"id":381893,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.0572,35.6882 ], [ -114.0572,36.5318 ], [ -111.828,36.5318 ], [ -111.828,35.6882 ], [ -114.0572,35.6882 ] ] ] } } ] }","volume":"72","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50a4bd81e4b0fd76c78323c9","contributors":{"authors":[{"text":"Ward, David L. 0000-0002-3355-0637 dlward@usgs.gov","orcid":"https://orcid.org/0000-0002-3355-0637","contributorId":3879,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dlward@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":468860,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70040700,"text":"70040700 - 2012 - Microbial colonization and controls in dryland systems","interactions":[],"lastModifiedDate":"2012-11-13T12:40:33","indexId":"70040700","displayToPublicDate":"2012-11-13T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2846,"text":"Nature Reviews Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Microbial colonization and controls in dryland systems","docAbstract":"Drylands constitute the most extensive terrestrial biome, covering more than one-third of the Earth's continental surface. In these environments, stress limits animal and plant life, so life forms that can survive desiccation and then resume growth following subsequent wetting assume the foremost role in ecosystem processes. In this Review, we describe how these organisms assemble in unique soil- and rock-surface communities to form a thin veneer of mostly microbial biomass across hot and cold deserts. These communities mediate inputs and outputs of gases, nutrients and water from desert surfaces, as well as regulating weathering, soil stability, and hydrological and nutrient cycles. The magnitude of regional and global desert-related environmental impacts is affected by these surface communities; here, we also discuss the challenges for incorporating the consideration of these communities and their effects into the management of dryland resources.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Nature Reviews Microbiology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Nature Publishing Group","publisherLocation":"London, U.K.","doi":"10.1038/nrmicro2854","usgsCitation":"Pointing, S.B., and Belnap, J., 2012, Microbial colonization and controls in dryland systems: Nature Reviews Microbiology, v. 10, no. 8, p. 551-562, https://doi.org/10.1038/nrmicro2854.","productDescription":"12 p.","startPage":"551","endPage":"562","ipdsId":"IP-036400","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":474271,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/nrmicro2854","text":"Publisher Index Page"},{"id":263106,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263105,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/nrmicro2854"}],"volume":"10","issue":"8","noUsgsAuthors":false,"publicationDate":"2012-07-16","publicationStatus":"PW","scienceBaseUri":"50a3b9dde4b0855e233c071a","contributors":{"authors":[{"text":"Pointing, Stephen B.","contributorId":8347,"corporation":false,"usgs":true,"family":"Pointing","given":"Stephen","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":468822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":468821,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70040687,"text":"70040687 - 2012 - Joint estimation of habitat dynamics and species interactions: Disturbance reduces co-occurrence of non-native predators with an endangered toad","interactions":[],"lastModifiedDate":"2016-09-26T14:37:41","indexId":"70040687","displayToPublicDate":"2012-11-13T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Joint estimation of habitat dynamics and species interactions: Disturbance reduces co-occurrence of non-native predators with an endangered toad","docAbstract":"<p><strong>1.</strong> Ecologists have long been interested in the processes that determine patterns of species occurrence and co-occurrence. Potential short-comings of many existing empirical approaches that address these questions include a reliance on patterns of occurrence at a single time point, failure to account properly for imperfect detection and treating the environment as a static variable.</p><p><strong>2.</strong> We fit detection and non-detection data collected from repeat visits using a dynamic site occupancy model that simultaneously accounts for the temporal dynamics of a focal prey species, its predators and its habitat. Our objective was to determine how disturbance and species interactions affect the co-occurrence probabilities of an endangered toad and recently introduced non-native predators in stream breeding habitats. For this, we determined statistical support for alternative processes that could affect co-occurrence frequency in the system.</p><p><strong>3.</strong> We collected occurrence data at stream segments in two watersheds where streams were largely ephemeral and one watershed dominated by perennial streams. Co-occurrence probabilities of toads with non-native predators were related to disturbance frequency, with low co-occurrence in the ephemeral watershed and high co-occurrence in the perennial watershed. This occurred because once predators were established at a site, they were rarely lost from the site except in cases when the site dried out. Once dry sites became suitable again, toads colonized them much more rapidly than predators, creating a period of predator-free space.</p><p><strong>4.</strong> We attribute the dynamics to a storage effect, where toads persisting outside the stream environment during periods of drought rapidly colonized sites when they become suitable again. Our results support that even in highly connected stream networks, temporal disturbance can structure frequencies with which breeding amphibians encounter non-native predators.</p><p><strong>5.</strong> Dynamic multi-state occupancy models are a powerful tool for rigorously examining hypotheses about inter-species and species–habitat interactions. In contrast to previous methods that infer dynamic processes based on static patterns in occupancy, the approach we took allows the dynamic processes that determine species–species and species–habitat interactions to be directly estimated.</p>","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1365-2656.2012.02001.x","usgsCitation":"Miller, D., Brehme, C.S., Hines, J., Nichols, J., and Fisher, R.N., 2012, Joint estimation of habitat dynamics and species interactions: Disturbance reduces co-occurrence of non-native predators with an endangered toad: Journal of Animal Ecology, v. 81, no. 6, p. 1288-1297, https://doi.org/10.1111/j.1365-2656.2012.02001.x.","productDescription":"10 p.","startPage":"1288","endPage":"1297","numberOfPages":"10","ipdsId":"IP-029983","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":474270,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-2656.2012.02001.x","text":"Publisher Index Page"},{"id":263103,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263102,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2656.2012.02001.x"}],"volume":"81","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-06-15","publicationStatus":"PW","scienceBaseUri":"50a3b9d8e4b0855e233c0716","contributors":{"authors":[{"text":"Miller, David A.W.","contributorId":19423,"corporation":false,"usgs":true,"family":"Miller","given":"David A.W.","affiliations":[],"preferred":false,"id":468795,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brehme, Cheryl S. 0000-0001-8904-3354 cbrehme@usgs.gov","orcid":"https://orcid.org/0000-0001-8904-3354","contributorId":3419,"corporation":false,"usgs":true,"family":"Brehme","given":"Cheryl","email":"cbrehme@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":468793,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":468794,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":468791,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":468792,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70040617,"text":"70040617 - 2012 - Feeding response of sport fish after electrical immobilization, chemical sedation, or both","interactions":[],"lastModifiedDate":"2012-11-07T14:28:18","indexId":"70040617","displayToPublicDate":"2012-11-06T00:00:00","publicationYear":"2012","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":"Feeding response of sport fish after electrical immobilization, chemical sedation, or both","docAbstract":"Fishery managers frequently capture wild fish for a variety of fishery management activities. Though some activities can be accomplished without immobilizing the fish, others are accomplished more readily, humanely, and safely (for both the handler and the fish) when fish are immobilized by physical (e.g., electrical immobilization) or chemical sedation. A concern regarding the use of chemical sedatives is that chemical residues may remain in the fillet tissue after the fish recovers from sedation. If those residues are harmful to humans, there is some risk that a postsedated fish released to public waters may be caught and consumed by an angler. To characterize this risk, a series of four trials were conducted. Three trials assessed feeding activity after hatchery-reared fish were electrically immobilized, chemically sedated, or both, and one trial assessed the likelihood of an angler catching a wild fish that had been electrically immobilized and chemically sedated. Results from the first trial indicated that the feeding activity of laboratory habituated fish was variable among and within species after electrical immobilization, chemical sedation, or both. Results from the second trial indicated that the resumption of feeding activity was rapid after being mildly sedated for 45 min. Results from the third trial indicated that the feeding activity of outdoor, hatchery-reared fish was relatively aggressive after fish had been chemically sedated. Results from the fourth trial indicated that the probability of capturing wild fish in a more natural environment by angling after fish had been electrically immobilized and chemically sedated is not likely, i.e., in a group of five fish caught, 3 out of 100 times one would be a fish that had been sedated.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/02755947.2012.686955","usgsCitation":"Meinertz, J.R., Fredricks, K., Ambrose, R.D., Jackan, L.M., and Wise, J.K., 2012, Feeding response of sport fish after electrical immobilization, chemical sedation, or both: North American Journal of Fisheries Management, v. 32, no. 4, p. 679-686, https://doi.org/10.1080/02755947.2012.686955.","productDescription":"8 p.","startPage":"679","endPage":"686","ipdsId":"IP-033263","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":263007,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262967,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2012.686955"}],"country":"United States","volume":"32","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-07-13","publicationStatus":"PW","scienceBaseUri":"50dcceb4e4b0d55926e40c00","contributors":{"authors":[{"text":"Meinertz, Jeffery R. 0000-0002-8855-2648 jmeinertz@usgs.gov","orcid":"https://orcid.org/0000-0002-8855-2648","contributorId":2495,"corporation":false,"usgs":true,"family":"Meinertz","given":"Jeffery","email":"jmeinertz@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":468679,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fredricks, Kim T. 0000-0003-2363-7891 kfredricks@usgs.gov","orcid":"https://orcid.org/0000-0003-2363-7891","contributorId":5163,"corporation":false,"usgs":true,"family":"Fredricks","given":"Kim T.","email":"kfredricks@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":468681,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ambrose, Ryan D.","contributorId":101157,"corporation":false,"usgs":true,"family":"Ambrose","given":"Ryan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":468683,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackan, Leanna M.","contributorId":15482,"corporation":false,"usgs":true,"family":"Jackan","given":"Leanna","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":468682,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wise, Jeremy K. 0000-0003-0184-6959 jwise@usgs.gov","orcid":"https://orcid.org/0000-0003-0184-6959","contributorId":5009,"corporation":false,"usgs":true,"family":"Wise","given":"Jeremy","email":"jwise@usgs.gov","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":468680,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70188384,"text":"70188384 - 2012 - Large-scale splay faults on a strike-slip fault system: The Yakima Folds, Washington State","interactions":[],"lastModifiedDate":"2017-06-07T15:26:00","indexId":"70188384","displayToPublicDate":"2012-11-03T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Large-scale splay faults on a strike-slip fault system: The Yakima Folds, Washington State","docAbstract":"<div class=\"article-section__content mainAbstract\"><p>The Yakima Folds (YF) comprise anticlines above reverse faults cutting flows of the Miocene Columbia River Basalt Group of central Washington State. The YF are bisected by the ~1100-km-long Olympic-Wallowa Lineament (OWL), which is an alignment of topographic features including known faults. There is considerable debate about the origin and earthquake potential of both the YF and OWL, which lie near six major dams and a large nuclear waste storage site. Here I show that the trends of the faults forming the YF relative to the OWL match remarkably well the trends of the principal stress directions at the end of a vertical strike-slip fault. This comparison and the termination of some YF against the OWL are consistent with the YF initially forming as splay faults caused by an along-strike decrease in the amount of strike-slip on the OWL. The hypothesis is that the YF faults initially developed as splay faults in the early to mid Miocene under NNW-oriented principal compressive stress, but the anticlines subsequently grew with thrust motion after the principal compressive stress direction rotated to N-S or NNE after the mid-Miocene. A seismic profile across one of the YF anticlines shows folding at about 7 km depth, indicating deformation of sub-basalt strata. The seismic profile and the hypothesized relationship between the YF and the OWL suggest that the structures are connected in the middle or lower crust, and that the faults forming the YF are large-scale splay faults associated with a major strike-slip fault system.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2012GC004405","usgsCitation":"Pratt, T.L., 2012, Large-scale splay faults on a strike-slip fault system: The Yakima Folds, Washington State: Geochemistry, Geophysics, Geosystems, v. 13, no. 11, 14 p., https://doi.org/10.1029/2012GC004405.","productDescription":"14 p.","ipdsId":"IP-033719","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":474280,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2012gc004405","text":"Publisher Index Page"},{"id":342274,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"The Yakima Folds","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.25,\n              45.5\n            ],\n            [\n              -117.75,\n              45.5\n            ],\n            [\n              -117.75,\n              47.4\n            ],\n            [\n              -121.25,\n              47.4\n            ],\n            [\n              -121.25,\n              45.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"13","issue":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2012-11-03","publicationStatus":"PW","scienceBaseUri":"593910b6e4b0764e6c5e8900","contributors":{"authors":[{"text":"Pratt, Thomas L. 0000-0003-3131-3141 tpratt@usgs.gov","orcid":"https://orcid.org/0000-0003-3131-3141","contributorId":3279,"corporation":false,"usgs":true,"family":"Pratt","given":"Thomas","email":"tpratt@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":697482,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70040585,"text":"70040585 - 2012 - Occupancy in continuous habitat","interactions":[],"lastModifiedDate":"2012-11-02T10:52:44","indexId":"70040585","displayToPublicDate":"2012-11-02T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Occupancy in continuous habitat","docAbstract":"The probability that a site has at least one individual of a species ('occupancy') has come to be widely used as a state variable for animal population monitoring. The available statistical theory for estimation when detection is imperfect applies particularly to habitat patches or islands, although it is also used for arbitrary plots in continuous habitat. The probability that such a plot is occupied depends on plot size and home-range characteristics (size, shape and dispersion) as well as population density. Plot size is critical to the definition of occupancy as a state variable, but clear advice on plot size is missing from the literature on the design of occupancy studies. We describe models for the effects of varying plot size and home-range size on expected occupancy. Temporal, spatial, and species variation in average home-range size is to be expected, but information on home ranges is difficult to retrieve from species presence/absence data collected in occupancy studies. The effect of variable home-range size is negligible when plots are very large (>100 x area of home range), but large plots pose practical problems. At the other extreme, sampling of 'point' plots with cameras or other passive detectors allows the true 'proportion of area occupied' to be estimated. However, this measure equally reflects home-range size and density, and is of doubtful value for population monitoring or cross-species comparisons. Plot size is ill-defined and variable in occupancy studies that detect animals at unknown distances, the commonest example being unlimited-radius point counts of song birds. We also find that plot size is ill-defined in recent treatments of \"multi-scale\" occupancy; the respective scales are better interpreted as temporal (instantaneous and asymptotic) rather than spatial. Occupancy is an inadequate metric for population monitoring when it is confounded with home-range size or detection distance.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecosphere","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","publisherLocation":"Ithaca, NY","doi":"10.1890/ES11-00308.1","usgsCitation":"Efford, M.G., and Dawson, D.K., 2012, Occupancy in continuous habitat: Ecosphere, v. 3, no. 4, p. 1-15, https://doi.org/10.1890/ES11-00308.1.","productDescription":"Article 32: 15 p.","startPage":"1","endPage":"15","ipdsId":"IP-027918","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":474282,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es11-00308.1","text":"Publisher Index Page"},{"id":262929,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262928,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/ES11-00308.1"}],"volume":"3","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-04-25","publicationStatus":"PW","scienceBaseUri":"5094dd89e4b0e5cfc2acdc86","contributors":{"authors":[{"text":"Efford, Murray G.","contributorId":91616,"corporation":false,"usgs":true,"family":"Efford","given":"Murray","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":468611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dawson, Deanna K. ddawson@usgs.gov","contributorId":1257,"corporation":false,"usgs":true,"family":"Dawson","given":"Deanna","email":"ddawson@usgs.gov","middleInitial":"K.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":468610,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70148705,"text":"70148705 - 2012 - Importance of tributary streams for rainbow trout reproduction: insights from a small stream in Georgia and a bi-genomic approach","interactions":[],"lastModifiedDate":"2015-07-17T11:44:55","indexId":"70148705","displayToPublicDate":"2012-11-01T12:45:00","publicationYear":"2012","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":"Importance of tributary streams for rainbow trout reproduction: insights from a small stream in Georgia and a bi-genomic approach","docAbstract":"<p>Tributaries of tailwater fisheries in the southeastern USA have been used for spawning by stocked rainbow trout (Oncorhynchus mykiss), but their importance may have been underestimated using traditional fish survey methods such as electrofishing and redd counts. We used a bi-genomic approach, mitochondrial DNA sequences and nuclear microsatellite loci, to estimate the number of spawning adults in one small tributary (Cabin Creek) of the Chattahoochee River, Georgia, where rainbow trout are known to spawn and have successful recruitment. We extracted and analysed DNA from seven mature male rainbow trout and four juveniles that were captured in February 2006 in Cabin Creek and from 24 young-of-year (YOY) trout that were captured in April 2006. From these samples, we estimated that 24 individuals were spawning to produce the amount of genetic variation observed in the juveniles and YOY, although none of the mature males we sampled were indicated as sires. Analysis of the mitochondrial D-loop region identified four distinct haplotypes, suggesting that individuals representing four maternal lineages contributed to the offspring. Our analyses indicated that many more adults were spawning in this system than previously estimated with direct count methods and provided insight into rainbow trout spawning behavior.</p>","language":"English","publisher":"John Wiley & Sons","publisherLocation":"Chichester, West Sussex, UK","doi":"10.1002/rra.1556","collaboration":"Oklahoma State University; Oklahoma Department of Wildlife Conservation; US Geological Survey; US Fish and Wildlife Service; Wildlife Management Institute","usgsCitation":"Lee, D., Lack, J., Van Den Bussche, R.A., and Long, J.M., 2012, Importance of tributary streams for rainbow trout reproduction: insights from a small stream in Georgia and a bi-genomic approach: River Research and Applications, v. 28, no. 9, p. 1587-1593, https://doi.org/10.1002/rra.1556.","productDescription":"7 p.","startPage":"1587","endPage":"1593","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-024578","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305807,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"9","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2011-07-06","publicationStatus":"PW","scienceBaseUri":"55aa2738e4b0183d66e47e93","contributors":{"authors":[{"text":"Lee, D.","contributorId":25534,"corporation":false,"usgs":true,"family":"Lee","given":"D.","affiliations":[],"preferred":false,"id":565009,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lack, Justin B.","contributorId":82038,"corporation":false,"usgs":true,"family":"Lack","given":"Justin B.","affiliations":[],"preferred":false,"id":565010,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Den Bussche, Ronald A.","contributorId":41121,"corporation":false,"usgs":true,"family":"Van Den Bussche","given":"Ronald","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":565011,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":549072,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70039151,"text":"70039151 - 2012 - The shallow-water fish assemblage of Isla del Coco National Park, Costa Rica: Structure and patterns in an isolated, predator-dominated ecosystem","interactions":[],"lastModifiedDate":"2020-09-11T17:17:46.668097","indexId":"70039151","displayToPublicDate":"2012-11-01T12:41:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3290,"text":"Revista de Biología Tropical: International Journal of Tropical Biology and Conservation","onlineIssn":"2215-2075","printIssn":"0034-7744","active":true,"publicationSubtype":{"id":10}},"title":"The shallow-water fish assemblage of Isla del Coco National Park, Costa Rica: Structure and patterns in an isolated, predator-dominated ecosystem","docAbstract":"<p>Fishes at Isla del Coco National Park, Costa Rica, were surveyed as part of a larger scientific expedition to the area in September 2009. The average total biomass of nearshore fishes was 7.8 tonnes per ha, among the largest observed in the tropics, with apex predators such as sharks, jacks, and groupers accounting for nearly 40% of the total biomass. The abundance of reef and pelagic sharks, particularly large aggregations of threatened species such as the scalloped hammerhead shark (up to 42 hammerheads ha-1) and large schools of jacks and snappers show the capacity for high biomass in unfished ecosystems in the Eastern Tropical Pacific. However, the abundance of hammerhead and reef whitetip sharks appears to have been declining since the late 1990s, and likely causes may include increasing fishing pressure on sharks in the region and illegal fishing inside the Park. One Galapagos shark tagged on September 20, 2009 in the Isla del Coco National Park moved 255km southeast towards Malpelo Island in Colombia, when it stopped transmitting. These results contribute to the evidence that sharks conduct large-scale movements between marine protected areas (Isla del Coco, Malpelo, Galápagos) in the Eastern tropical Pacific and emphasize the need for regional-scale management. More than half of the species and 90% of the individuals observed were endemic to the tropical eastern Pacific. These high biomass and endemicity values highlight the uniqueness of the fish assemblage at Isla del Coco and its importance as a global biodiversity hotspot.</p>","language":"English","publisher":"Universidad de Costa Rica","publisherLocation":"San José, Costa Rica","usgsCitation":"Friedlander, A.M., Zgliczynski, B.J., Ballesteros, E., Aburto-Oropeza, O., Bolanos, A., and Sala, E., 2012, The shallow-water fish assemblage of Isla del Coco National Park, Costa Rica: Structure and patterns in an isolated, predator-dominated ecosystem: Revista de Biología Tropical: International Journal of Tropical Biology and Conservation, v. 60, no. Supplement 3, p. 321-338.","productDescription":"18 p.","startPage":"321","endPage":"338","ipdsId":"IP-036295","costCenters":[{"id":333,"text":"Hawaii Cooperative Fishery Research Unit","active":false,"usgs":true}],"links":[{"id":281005,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281003,"type":{"id":15,"text":"Index Page"},"url":"https://revistas.ucr.ac.cr/index.php/rbt/article/view/28407"}],"country":"Costa Rica","otherGeospatial":"Cocos Island, Isla Del Coco","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.12038040161133,\n              5.478787347430845\n            ],\n            [\n              -87.01240539550781,\n              5.478787347430845\n            ],\n            [\n              -87.01240539550781,\n              5.5753250966420795\n            ],\n            [\n              -87.12038040161133,\n              5.5753250966420795\n            ],\n            [\n              -87.12038040161133,\n              5.478787347430845\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"60","issue":"Supplement 3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7895e4b0b2908510c40c","contributors":{"authors":[{"text":"Friedlander, Alan M. afriedlander@usgs.gov","contributorId":53079,"corporation":false,"usgs":true,"family":"Friedlander","given":"Alan","email":"afriedlander@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":false,"id":465692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zgliczynski, Brian J.","contributorId":73495,"corporation":false,"usgs":true,"family":"Zgliczynski","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":465695,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ballesteros, Enric","contributorId":56113,"corporation":false,"usgs":true,"family":"Ballesteros","given":"Enric","email":"","affiliations":[],"preferred":false,"id":465694,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aburto-Oropeza, Octavio","contributorId":91784,"corporation":false,"usgs":true,"family":"Aburto-Oropeza","given":"Octavio","email":"","affiliations":[],"preferred":false,"id":465696,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bolanos, Allan","contributorId":53695,"corporation":false,"usgs":true,"family":"Bolanos","given":"Allan","email":"","affiliations":[],"preferred":false,"id":465693,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sala, Enric","contributorId":38437,"corporation":false,"usgs":true,"family":"Sala","given":"Enric","email":"","affiliations":[],"preferred":false,"id":465691,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70039495,"text":"70039495 - 2012 - Incorporating movement patterns to improve survival estimates for juvenile bull trout","interactions":[],"lastModifiedDate":"2014-01-15T10:50:54","indexId":"70039495","displayToPublicDate":"2012-11-01T10:42:34","publicationYear":"2012","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":"Incorporating movement patterns to improve survival estimates for juvenile bull trout","docAbstract":"Populations of many fish species are sensitive to changes in vital rates during early life stages, but our understanding of the factors affecting growth, survival, and movement patterns is often extremely limited for juvenile fish. These critical information gaps are particularly evident for bull trout <i>Salvelinus confluentus</i>, a threatened Pacific Northwest char. We combined several active and passive mark–recapture and resight techniques to assess migration rates and estimate survival for juvenile bull trout (70–170 mm total length). We evaluated the relative performance of multiple survival estimation techniques by comparing results from a common Cormack–Jolly–Seber (CJS) model, the less widely used Barker model, and a simple return rate (an index of survival). Juvenile bull trout of all sizes emigrated from their natal habitat throughout the year, and thereafter migrated up to 50 km downstream. With the CJS model, high emigration rates led to an extreme underestimate of apparent survival, a combined estimate of site fidelity and survival. In contrast, the Barker model, which allows survival and emigration to be modeled as separate parameters, produced estimates of survival that were much less biased than the return rate. Estimates of age-class-specific annual survival from the Barker model based on all available data were 0.218±0.028 (estimate±SE) for age-1 bull trout and 0.231±0.065 for age-2 bull trout. This research demonstrates the importance of incorporating movement patterns into survival analyses, and we provide one of the first field-based estimates of juvenile bull trout annual survival in relatively pristine rearing conditions. These estimates can provide a baseline for comparison with future studies in more impacted systems and will help managers develop reliable stage-structured population models to evaluate future recovery strategies.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Fisheries Society","publisherLocation":"Lawrence, KS","doi":"10.1080/02755947.2012.720644","usgsCitation":"Bowerman, T., and Budy, P., 2012, Incorporating movement patterns to improve survival estimates for juvenile bull trout: North American Journal of Fisheries Management, v. 32, no. 6, p. 1123-1136, https://doi.org/10.1080/02755947.2012.720644.","productDescription":"14 p.","startPage":"1123","endPage":"1136","numberOfPages":"14","ipdsId":"IP-036702","costCenters":[{"id":609,"text":"Utah Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":498970,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02755947.2012.720644","text":"Publisher Index Page"},{"id":281076,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281075,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2012.720644"}],"country":"United States","state":"Oregon","otherGeospatial":"Blue Mountains;Skiphorton Creek;South Fork Walla Walla River;Walla Walla River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.07,45.58 ], [ -119.07,46.21 ], [ -117.39,46.21 ], [ -117.39,45.58 ], [ -119.07,45.58 ] ] ] } } ] }","volume":"32","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-11-01","publicationStatus":"PW","scienceBaseUri":"53cd6240e4b0b290850fe112","contributors":{"authors":[{"text":"Bowerman, Tracy","contributorId":95796,"corporation":false,"usgs":true,"family":"Bowerman","given":"Tracy","email":"","affiliations":[],"preferred":false,"id":466366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Budy, Phaedra","contributorId":24215,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra","affiliations":[{"id":609,"text":"Utah Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":466365,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70189182,"text":"70189182 - 2012 - Uncertainty quantification for environmental models","interactions":[],"lastModifiedDate":"2017-07-07T09:52:05","indexId":"70189182","displayToPublicDate":"2012-11-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5454,"text":"SIAM News","active":true,"publicationSubtype":{"id":10}},"title":"Uncertainty quantification for environmental models","docAbstract":"Environmental models are used to evaluate the fate of fertilizers in agricultural settings (including soil denitrification), the degradation of hydrocarbons at spill sites, and water supply for people and ecosystems in small to large basins and cities—to mention but a few applications of these models. They also play a role in understanding and diagnosing potential environmental impacts of global climate change. The models are typically mildly to extremely nonlinear. The persistent demand for enhanced dynamics and resolution to improve model realism [17] means that lengthy individual model execution times will remain common, notwithstanding continued enhancements in computer power. In addition, high-dimensional parameter spaces are often defined, which increases the number of model runs required to quantify uncertainty [2]. Some environmental modeling projects have access to extensive funding and computational resources; many do not. The many recent studies of uncertainty quantification in environmental model predictions have focused on uncertainties related to data error and sparsity of data, expert judgment expressed mathematically through prior information, poorly known parameter values, and model structure (see, for example, [1,7,9,10,13,18]). Approaches for quantifying uncertainty include frequentist (potentially with prior information [7,9]), Bayesian [13,18,19], and likelihood-based. A few of the numerous methods, including some sensitivity and inverse methods with consequences for understanding and quantifying uncertainty, are as follows: Bayesian hierarchical modeling and Bayesian model averaging; single-objective optimization with error-based weighting [7] and multi-objective optimization [3]; methods based on local derivatives [2,7,10]; screening methods like OAT (one at a time) and the method of Morris [14]; FAST (Fourier amplitude sensitivity testing) [14]; the Sobol' method [14]; randomized maximum likelihood [10]; Markov chain Monte Carlo (MCMC) [10]. There are also bootstrapping and cross-validation approaches.Sometimes analyses are conducted using surrogate models [12]. The availability of so many options can be confusing. Categorizing methods based on fundamental questions assists in communicating the essential results of uncertainty analyses to stakeholders. Such questions can focus on model adequacy (e.g., How well does the model reproduce observed system characteristics and dynamics?) and sensitivity analysis (e.g., What parameters can be estimated with available data? What observations are important to parameters and predictions? What parameters are important to predictions?), as well as on the uncertainty quantification (e.g., How accurate and precise are the predictions?). The methods can also be classified by the number of model runs required: few (10s to 1000s) or many (10,000s to 1,000,000s). Of the methods listed above, the most computationally frugal are generally those based on local derivatives; MCMC methods tend to be among the most computationally demanding. Surrogate models (emulators)do not necessarily produce computational frugality because many runs of the full model are generally needed to create a meaningful surrogate model. With this categorization, we can, in general, address all the fundamental questions mentioned above using either computationally frugal or demanding methods. Model development and analysis can thus be conducted consistently using either computation-ally frugal or demanding methods; alternatively, different fundamental questions can be addressed using methods that require different levels of effort. Based on this perspective, we pose the question: Can computationally frugal methods be useful companions to computationally demanding meth-ods? The reliability of computationally frugal methods generally depends on the model being reasonably linear, which usually means smooth nonlin-earities and the assumption of Gaussian errors; both tend to be more valid with more linear","language":"English","publisher":"Society for Industrial and Applied Mathematics","usgsCitation":"Hill, M.C., Lu, D., Kavetski, D., Clark, M.P., and Ye, M., 2012, Uncertainty quantification for environmental models: SIAM News, v. 45, no. 9, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-041596","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343434,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":343432,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://sinews.siam.org/Current-Issue/Issue-Archives/Issue-Archives-ListView/PID/2282/mcat/2279/evl/0/TagID/206?TagName=Volume-45-|-Number-9-|-November-2012"}],"volume":"45","issue":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595f4c45e4b0d1f9f057e372","contributors":{"authors":[{"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":703388,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lu, Dan","contributorId":58176,"corporation":false,"usgs":true,"family":"Lu","given":"Dan","affiliations":[],"preferred":false,"id":703762,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kavetski, Dmitri","contributorId":194182,"corporation":false,"usgs":false,"family":"Kavetski","given":"Dmitri","email":"","affiliations":[],"preferred":false,"id":703389,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Clark, Martyn P.","contributorId":194183,"corporation":false,"usgs":false,"family":"Clark","given":"Martyn","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":703390,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Ye, Ming","contributorId":194184,"corporation":false,"usgs":false,"family":"Ye","given":"Ming","email":"","affiliations":[],"preferred":false,"id":703391,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70189352,"text":"70189352 - 2012 - Difference infiltrometer: a method to measure temporally variable infiltration rates during rainstorms","interactions":[],"lastModifiedDate":"2017-07-11T15:52:36","indexId":"70189352","displayToPublicDate":"2012-11-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Difference infiltrometer: a method to measure temporally variable infiltration rates during rainstorms","docAbstract":"<p><span>We developed a difference infiltrometer to measure time series of non-steady infiltration rates during rainstorms at the point scale. The infiltrometer uses two, tipping bucket rain gages. One gage measures rainfall onto, and the other measures runoff from, a small circular plot about 0.5-m in diameter. The small size allows the infiltration rate to be computed as the difference of the cumulative rainfall and cumulative runoff without having to route water through a large plot. Difference infiltrometers were deployed in an area burned by the 2010 Fourmile Canyon Fire near Boulder, Colorado, USA, and data were collected during the summer of 2011. The difference infiltrometer demonstrated the capability to capture different magnitudes of infiltration rates and temporal variability associated with convective (high intensity, short duration) and cyclonic (low intensity, long duration) rainstorms. Data from the difference infiltrometer were used to estimate saturated hydraulic conductivity of soil affected by the heat from a wildfire. The difference infiltrometer is portable and can be deployed in rugged, steep terrain and does not require the transport of water, as many rainfall simulators require, because it uses natural rainfall. It can be used to assess infiltration models, determine runoff coefficients, identify rainfall depth or rainfall intensity thresholds to initiate runoff, estimate parameters for infiltration models, and compare remediation treatments on disturbed landscapes. The difference infiltrometer can be linked with other types of soil monitoring equipment in long-term studies for detecting temporal and spatial variability at multiple time scales and in nested designs where it can be linked to hillslope and basin-scale runoff responses.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.9424","usgsCitation":"Moody, J.A., and Ebel, B.A., 2012, Difference infiltrometer: a method to measure temporally variable infiltration rates during rainstorms: Hydrological Processes, v. 26, no. 21, p. 3312-3318, https://doi.org/10.1002/hyp.9424.","productDescription":"7 p.","startPage":"3312","endPage":"3318","ipdsId":"IP-034604","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343604,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"21","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2012-07-03","publicationStatus":"PW","scienceBaseUri":"5965bacfe4b0d1f9f05b38d9","contributors":{"authors":[{"text":"Moody, John A. 0000-0003-2609-364X jamoody@usgs.gov","orcid":"https://orcid.org/0000-0003-2609-364X","contributorId":771,"corporation":false,"usgs":true,"family":"Moody","given":"John","email":"jamoody@usgs.gov","middleInitial":"A.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":704334,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ebel, Brian A. 0000-0002-5413-3963 bebel@usgs.gov","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":2557,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian","email":"bebel@usgs.gov","middleInitial":"A.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":704333,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70191248,"text":"70191248 - 2012 - Morphological and chemical evidence of stromatolitic deposits in the 2.75 Ga Carajás banded iron formation, Brazil","interactions":[],"lastModifiedDate":"2017-10-02T14:59:23","indexId":"70191248","displayToPublicDate":"2012-11-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Morphological and chemical evidence of stromatolitic deposits in the 2.75 Ga Carajás banded iron formation, Brazil","docAbstract":"<p id=\"sp0055\">We describe evidence of biogenicity in the morphology and carbon content of well-preserved, Neoarchean samples of banded iron formation (BIF) from Carajás, Brazil. Silica-rich BIF layers contain translucent ellipsoidal or trapezoidal structures (∼5–10&nbsp;μm diameter) composed of silica, hematite, and kerogen, which are arranged in larger ring-like forms (rosettes). Stable carbon isotope analysis yields a δ<sup>13</sup>C value of −24.5‰ indicating that the contained carbon is likely biogenic. Raman and SEM analyses, as well as wavelength-dispersive X-ray elemental maps, show kerogen inside the rosette forms. Within the iron-rich BIF layers, tubular structures (0.5–5&nbsp;μm) were observed between hematite granules and blades. Kerogen and kaolinite are present in these structures. Both the rosettes and the tubular structures resemble morphologies that are characteristic of some bacterial species.</p><p id=\"sp0060\">We hypothesize that the Carajás BIFs originated as biomats formed by one or more species that over time produced large stromatolitic structures. The rosettes and the tubular structures, associated with chert-rich and iron-rich BIF layers, respectively, may represent two different species, or perhaps, two phases of a bacterium life cycle. For example, some modern myxobacteria exhibit similar morphologies in their resting and vegetative stages.</p><p id=\"sp0065\">Fe(III) precipitation may have occurred by contact of Fe(II) with bacterial slime, leading to oxidation by chemical reactions with exposed polysaccharide hydroxyl and carboxyl groups. The Fe(III) would then have been available for use as a source of energy in a dissimilatory iron reduction type of metabolism. Organic carbon input presumably came from primary producers (not necessarily aerobic) within the local water column, perhaps in shallow-water communities. Alternatively, the carbon may have originated by Fischer–Tropsch synthesis at ocean hydrothermal vents. The observed lateral continuity of BIF layers may perhaps be explained by chemical signaling by the bacteria of favorable or unfavorable environmental conditions, leading to nearly synchronous cell morphogenesis from a vegetative to resting phase and vice versa.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2012.08.028","usgsCitation":"Ribeiro da Luz, B., and Crowley, J.K., 2012, Morphological and chemical evidence of stromatolitic deposits in the 2.75 Ga Carajás banded iron formation, Brazil: Earth and Planetary Science Letters, v. 355-356, p. 60-72, https://doi.org/10.1016/j.epsl.2012.08.028.","productDescription":"13 p.","startPage":"60","endPage":"72","ipdsId":"IP-026854","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":346328,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil","volume":"355-356","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59d3502be4b05fe04cc34d80","contributors":{"authors":[{"text":"Ribeiro da Luz, Beatriz bribeirodaluz@usgs.gov","contributorId":3260,"corporation":false,"usgs":true,"family":"Ribeiro da Luz","given":"Beatriz","email":"bribeirodaluz@usgs.gov","affiliations":[],"preferred":true,"id":711677,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crowley, James K.","contributorId":10928,"corporation":false,"usgs":true,"family":"Crowley","given":"James","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":711678,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70042486,"text":"70042486 - 2012 - Distribution, abundance and production of Hemimysis anomala in Lake Ontario","interactions":[],"lastModifiedDate":"2021-01-04T12:35:34.810464","indexId":"70042486","displayToPublicDate":"2012-11-01T00:00:00","publicationYear":"2012","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}},"displayTitle":"Distribution, abundance and production of <i>Hemimysis anomala</i> in Lake Ontario","title":"Distribution, abundance and production of Hemimysis anomala in Lake Ontario","docAbstract":"<p><i>Hemimysis anomala</i><span>&nbsp;is one of the latest macroinvertebrates to invade the Laurentian Great Lakes. Since first reported in 2006,&nbsp;</span><i>Hemimysis</i><span>&nbsp;have been confirmed in several locations within the Great Lakes basin. However, little is known about the seasonal and spatial variation&nbsp;in demographics and dynamics of&nbsp;</span><i>Hemimysis</i><span>&nbsp;populations. We used a standardised pier-based methodology to describe the distribution of&nbsp;</span><i>Hemimysis</i><span>&nbsp;at 29 locations around the shoreline of Lake Ontario in 2009. Samples were collected in spring, summer, and fall at most locations, and bi-weekly at one site (Bronte Creek) over a 12-month period in 2009. For each site, we estimated abundance by sex and size. The more temporally intensive sampling at Bronte Creek enabled us to estimate production.&nbsp;</span><i>Hemimysis</i><span>&nbsp;were found at 83% of the sites visited, with densities generally highest in the northwest and lower at the other sites. Production estimates (2.67–14.09</span><span>&nbsp;</span><span>mg dry weight·m</span><sup>−&nbsp;2</sup><span>·d</span><sup>−&nbsp;1</sup><span>) were higher than that of other common zooplankton species in the Great Lakes. We provide important life history parameters that will help ecologists better understand the potential impacts of&nbsp;</span><i>Hemimysis</i><span>&nbsp;on Great Lakes ecosystems.</span></p>","language":"English","publisher":"International Association for Great Lakes Research","doi":"10.1016/j.jglr.2011.08.010","usgsCitation":"Taraborelli, A.C., Jakobi, N., Johnson, T.B., Bowen, K., and Boscarino, B., 2012, Distribution, abundance and production of Hemimysis anomala in Lake Ontario: Journal of Great Lakes Research, v. 38, p. 73-78, https://doi.org/10.1016/j.jglr.2011.08.010.","productDescription":"6 p.","startPage":"73","endPage":"78","ipdsId":"IP-033346","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":381834,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","otherGeospatial":"Lake Ontario","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.617919921875,\n              43.50075243569041\n            ],\n            [\n              -79.82666015625,\n              43.229195113965005\n            ],\n            [\n              -79.068603515625,\n              43.205175817237304\n            ],\n            [\n              -78.46435546875,\n              43.38109758727857\n            ],\n            [\n              -77.640380859375,\n              43.22118973298753\n            ],\n            [\n              -76.728515625,\n              43.30119623257966\n            ],\n            [\n              -76.146240234375,\n              43.59630591596548\n            ],\n            [\n              -76.146240234375,\n              43.858296779161826\n            ],\n            [\n              -76.036376953125,\n              44.08758502824516\n            ],\n            [\n              -76.39892578125,\n              44.15856343854312\n            ],\n            [\n              -76.497802734375,\n              44.276671273775186\n            ],\n            [\n              -77.04711914062499,\n              43.96119063892024\n            ],\n            [\n              -77.332763671875,\n              43.96909818325171\n            ],\n            [\n              -77.662353515625,\n              44.02442151965934\n            ],\n            [\n              -78.365478515625,\n              43.96119063892024\n            ],\n            [\n              -78.958740234375,\n              43.866218006556394\n            ],\n            [\n              -79.530029296875,\n              43.6599240747891\n            ],\n            [\n              -79.617919921875,\n              43.50075243569041\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"38","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51372211e4b02ab8869c002c","contributors":{"authors":[{"text":"Taraborelli, Ana Carolina","contributorId":246007,"corporation":false,"usgs":false,"family":"Taraborelli","given":"Ana","email":"","middleInitial":"Carolina","affiliations":[],"preferred":false,"id":807479,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jakobi, Nina","contributorId":246008,"corporation":false,"usgs":false,"family":"Jakobi","given":"Nina","email":"","affiliations":[],"preferred":false,"id":807480,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Timothy B.","contributorId":49753,"corporation":false,"usgs":false,"family":"Johnson","given":"Timothy","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":807485,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bowen, Kelly","contributorId":45531,"corporation":false,"usgs":true,"family":"Bowen","given":"Kelly","affiliations":[],"preferred":false,"id":807486,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boscarino, Brent","contributorId":9883,"corporation":false,"usgs":true,"family":"Boscarino","given":"Brent","email":"","affiliations":[],"preferred":false,"id":807487,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70148709,"text":"70148709 - 2012 - Precision of channel catfish catch estimates using hoop nets in larger Oklahoma reservoirs","interactions":[],"lastModifiedDate":"2015-06-22T09:56:25","indexId":"70148709","displayToPublicDate":"2012-10-31T11:00:00","publicationYear":"2012","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":"Precision of channel catfish catch estimates using hoop nets in larger Oklahoma reservoirs","docAbstract":"<p>Hoop nets are rapidly becoming the preferred gear type used to sample channel catfish <i>Ictalurus punctatus</i>, and many managers have reported that hoop nets effectively sample channel catfish in small impoundments (&lt;200 ha). However, the utility and precision of this approach in larger impoundments have not been tested. We sought to determine how the number of tandem hoop net series affected the catch of channel catfish and the time involved in using 16 tandem hoop net series in larger impoundments (&gt;200 ha). Hoop net series were fished once, set for 3 d; then we used Monte Carlo bootstrapping techniques that allowed us to estimate the number of net series required to achieve two levels of precision (relative standard errors [RSEs] of 15 and 25) at two levels of confidence (80% and 95%). Sixteen hoop net series were effective at obtaining an RSE of 25 with 80% and 95% confidence in all but one reservoir. Achieving an RSE of 15 was often less effective and required 18-96 hoop net series given the desired level of confidence. We estimated that an hour was needed, on average, to deploy and retrieve three hoop net series, which meant that 16 hoop net series per reservoir could be \"set\" and \"retrieved\" within a day, respectively. The estimated number of net series to achieve an RSE of 25 or 15 was positively associated with the coefficient of variation (CV) of the sample but not with reservoir surface area or relative abundance. Our results suggest that hoop nets are capable of providing reasonably precise estimates of channel catfish relative abundance and that the relationship with the CV of the sample reported herein can be used to determine the sampling effort for a desired level of precision.</p>","language":"English","publisher":"American Fisheries Society","publisherLocation":"Lawrence, KS","doi":"10.1080/02755947.2012.720647","collaboration":"Oklahoma Department of Wildlife Conservation; Oklahoma State Universit","usgsCitation":"Stewart, D., and Long, J.M., 2012, Precision of channel catfish catch estimates using hoop nets in larger Oklahoma reservoirs: North American Journal of Fisheries Management, v. 32, no. 6, p. 1108-1112, https://doi.org/10.1080/02755947.2012.720647.","productDescription":"5 p.","startPage":"1108","endPage":"1112","numberOfPages":"5","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-036560","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":301426,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"6","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2012-10-31","publicationStatus":"PW","scienceBaseUri":"558931d5e4b0b6d21dd61c0a","contributors":{"authors":[{"text":"Stewart, David R.","contributorId":141323,"corporation":false,"usgs":false,"family":"Stewart","given":"David R.","affiliations":[],"preferred":false,"id":549261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":549076,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70214974,"text":"70214974 - 2012 - Holocene diatom flora and climate history of Medicine Lake, Northern California, USA","interactions":[],"lastModifiedDate":"2020-10-06T20:44:11.072398","indexId":"70214974","displayToPublicDate":"2012-10-31T10:18:34","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5934,"text":"Nova Hedwigia, Beiheft","printIssn":"1438-9134","active":false,"publicationSubtype":{"id":10}},"title":"Holocene diatom flora and climate history of Medicine Lake, Northern California, USA","docAbstract":"<p>A 226-cm-long sediment core spanning the past ~ 11,400 years was recovered from Medicine Lake, on the Modoc Plateau in northeastern California. Diatom assemblages provide a record of lake level that is driven by local and regional climate changes and changes in basin morphology due to the activity of Medicine Lake volcano. The diatom record indicates that throughout its history, Medicine Lake was an oligotrophic lake, dominated by <i>Cyclotella stelligera </i>and <i>C. pseudostelligera</i>. Variations in lake level are suggested by changes in the structure of the diatom assemblages. The lowest part of the core (11,400 to 10,300 cal yr B.P.) contains the transition from glacial to interglacial conditions. From about 11,000 to 5500 cal yr B.P., the lake filled two small, steep-sided basins or one basin with two steep-sided sub-basins connected by a shallow shelf. During this time, the diatom evidence (Cyclotella/Navicula ratio) indicates that effective moisture increased, leading to a deeper lake. Over the past 5500 years the diatom record indicates fluctuations in lake level. The change in lake level pattern from one of increasing depth prior to about 5500 cal yr B.P. to one of variable depths may be related to changes in the morphology of the Medicine Lake basin in addition to shifts in local and regional climate. During this latter period the Cyclotella/Navicula ratio varies, suggesting that the level of the lake fluctuated, resulting in changes in colonizable shelf area.</p>","language":"English","publisher":"Schweitzerbart and Borntraeger Science Publishers","usgsCitation":"Starratt, S.W., 2012, Holocene diatom flora and climate history of Medicine Lake, Northern California, USA: Nova Hedwigia, Beiheft, v. 141, p. 485-504.","productDescription":"30 p.","startPage":"485","endPage":"504","ipdsId":"IP-027311","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":379045,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":379030,"type":{"id":15,"text":"Index Page"},"url":"https://www.schweizerbart.de/publications/detail/isbn/9783443510633/Nova_Hedwigia_Beiheft_141"}],"country":"United States","state":"California","otherGeospatial":"Medicine Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.62311553955077,\n              41.56909591089941\n            ],\n            [\n              -121.5757369995117,\n              41.56909591089941\n            ],\n            [\n              -121.5757369995117,\n              41.59567534818466\n            ],\n            [\n              -121.62311553955077,\n              41.59567534818466\n            ],\n            [\n              -121.62311553955077,\n              41.56909591089941\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"141","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Starratt, Scott W. 0000-0001-9405-1746 sstarrat@usgs.gov","orcid":"https://orcid.org/0000-0001-9405-1746","contributorId":2891,"corporation":false,"usgs":true,"family":"Starratt","given":"Scott","email":"sstarrat@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":800473,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70040565,"text":"70040565 - 2012 - Dissolved organic matter reduces algal accumulation of methylmercury","interactions":[],"lastModifiedDate":"2017-10-30T12:24:32","indexId":"70040565","displayToPublicDate":"2012-10-31T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Dissolved organic matter reduces algal accumulation of methylmercury","docAbstract":"Dissolved organic matter (DOM) significantly decreased accumulation of methylmercury (MeHg) by the diatom <i>Cyclotella meneghiniana</i> in laboratory experiments. Live diatom cells accumulated two to four times more MeHg than dead cells, indicating that accumulation may be partially an energy-requiring process. Methylmercury enrichment in diatoms relative to ambient water was measured by a volume concentration factor (VCF). Without added DOM, the maximum VCF was 32 x 10<sup>4</sup>, and the average VCF (from 10 to 72 h) over all experiments was 12.6 x 10<sup>4</sup>. At very low (1.5 mg/L) added DOM, VCFs dropped by approximately half. At very high (20 mg/L) added DOM, VCFs dropped 10-fold. Presumably, MeHg was bound to a variety of reduced sulfur sites on the DOM, making it unavailable for uptake. Diatoms accumulated significantly more MeHg when exposed to transphilic DOM extracts than hydrophobic ones. However, algal lysate, a labile type of DOM created by resuspending a marine diatom in freshwater, behaved similarly to a refractory DOM isolate from San Francisco Bay. Addition of 67 &mu;M L-cysteine resulted in the largest drop in VCFs, to 0.28 x 10<sup>4</sup>. Although the DOM composition influenced the availability of MeHg to some extent, total DOM concentration was the most important factor in determining algal bioaccumulation of MeHg.","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/etc.1885","usgsCitation":"Luengen, A.C., Fisher, N.S., and Bergamaschi, B., 2012, Dissolved organic matter reduces algal accumulation of methylmercury: Environmental Toxicology and Chemistry, v. 31, no. 8, p. 1712-1719, https://doi.org/10.1002/etc.1885.","productDescription":"8 p.","startPage":"1712","endPage":"1719","ipdsId":"IP-026160","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":262902,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"8","noUsgsAuthors":false,"publicationDate":"2012-05-17","publicationStatus":"PW","scienceBaseUri":"50da4ad8e4b07a5aecdf2f8b","contributors":{"authors":[{"text":"Luengen, Allison C.","contributorId":100700,"corporation":false,"usgs":true,"family":"Luengen","given":"Allison","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":468556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Nicholas S.","contributorId":75022,"corporation":false,"usgs":true,"family":"Fisher","given":"Nicholas","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":468555,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":73241,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian A.","affiliations":[],"preferred":false,"id":468554,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70040563,"text":"70040563 - 2012 - Occurrence and potential sources of pyrethroid insecticides in stream sediments from seven U.S. metropolitan areas","interactions":[],"lastModifiedDate":"2012-11-01T15:06:01","indexId":"70040563","displayToPublicDate":"2012-10-31T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Occurrence and potential sources of pyrethroid insecticides in stream sediments from seven U.S. metropolitan areas","docAbstract":"A nationally consistent approach was used to assess the occurrence and potential sources of pyrethroid insecticides in stream bed sediments from seven metropolitan areas across the United States. One or more pyrethroids were detected in almost half of the samples, with bifenthrin detected the most frequently (41%) and in each metropolitan area. Cyhalothrin, cypermethrin, permethrin, and resmethrin were detected much less frequently. Pyrethroid concentrations and <i>Hyalella azteca</i> mortality in 28-d tests were lower than in most urban stream studies. Log-transformed total pyrethroid toxic units (TUs) were significantly correlated with survival and bifenthrin was likely responsible for the majority of the observed toxicity. Sampling sites spanned a wide range of urbanization and log-transformed total pyrethroid concentrations were significantly correlated with urban land use. Dallas/Fort Worth had the highest pyrethroid detection frequency (89%), the greatest number of pyrethroids (4), and some of the highest concentrations. Salt Lake City had a similar percentage of detections but only bifenthrin was detected and at lower concentrations. The variation in pyrethroid concentrations among metropolitan areas suggests regional differences in pyrethroid use and transport processes. This study shows that pyrethroids commonly occur in urban stream sediments and may be contributing to sediment toxicity across the country.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ACS Publications","publisherLocation":"Washington, D.C.","doi":"10.1021/es2044882","usgsCitation":"Kuivila, K., Hladik, M., Ingersoll, C.G., Kemble, N.E., Moran, P.W., Calhoun, D.L., Nowell, L.H., and Gilliom, R.J., 2012, Occurrence and potential sources of pyrethroid insecticides in stream sediments from seven U.S. metropolitan areas: Environmental Science & Technology, v. 46, no. 8, p. 4297-4303, https://doi.org/10.1021/es2044882.","productDescription":"7 p.","startPage":"4297","endPage":"4303","numberOfPages":"13","ipdsId":"IP-027292","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":262889,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":262888,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es2044882"}],"country":"United States","state":"Alabama;Connecticut;Georgia;Massachusetts;New Hampshire;Rhode Island;Texas;Utah;Washington;Wisconsin;Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,29.8 ], [ -124.8,49.0 ], [ -70.15,49.0 ], [ -70.15,29.8 ], [ -124.8,29.8 ] ] ] } } ] }","volume":"46","issue":"8","noUsgsAuthors":false,"publicationDate":"2012-03-28","publicationStatus":"PW","scienceBaseUri":"50e0bb0be4b0fec3206efdb9","contributors":{"authors":[{"text":"Kuivila, Kathryn  0000-0001-7940-489X kkuivila@usgs.gov","orcid":"https://orcid.org/0000-0001-7940-489X","contributorId":1367,"corporation":false,"usgs":true,"family":"Kuivila","given":"Kathryn ","email":"kkuivila@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":468548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hladik, Michelle 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":784,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":468547,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":468550,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kemble, Nile E. 0000-0002-3608-0538 nkemble@usgs.gov","orcid":"https://orcid.org/0000-0002-3608-0538","contributorId":2626,"corporation":false,"usgs":true,"family":"Kemble","given":"Nile","email":"nkemble@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":468551,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moran, Patrick W. 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":489,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468545,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Calhoun, Daniel L. 0000-0003-2371-6936 dcalhoun@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-6936","contributorId":1455,"corporation":false,"usgs":true,"family":"Calhoun","given":"Daniel","email":"dcalhoun@usgs.gov","middleInitial":"L.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468549,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":468546,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gilliom, Robert J. rgilliom@usgs.gov","contributorId":488,"corporation":false,"usgs":true,"family":"Gilliom","given":"Robert","email":"rgilliom@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":468544,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
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