Previous Mottled Duck (Anas fulvigula) studies suggested that high female breeding season survival may be caused by low nesting effort, but few breeding season estimates of survival associated with nesting effort exist on the western Gulf Coast. Here, breeding season survival (N = 40) and breeding incidence (N = 39) were estimated for female Mottled Ducks on the upper Texas coast, 2006–2008. Females were fitted with backpack radio transmitters and visually relocated every 3–4 days. Weekly survival was estimated using the Known Fate procedure of program MARK with breeding incidence estimated as the annual proportion of females observed nesting or with broods. The top-ranked survival model included a body mass covariate and held weekly female survival constant across weeks and years (SW = 0.986, SE = 0.006). When compared to survival across the entire year estimated from previous band recovery and age ratio analysis, survival rate during the breeding season did not differ. Breeding incidence was well below 100% in all years and highly variable among years (15%–63%). Breeding season survival and breeding incidence were similar to estimates obtained with implant transmitters from the mid-coast of Texas. The greatest breeding incidence for both studies occurred when drought indices indicated average environmental moisture during the breeding season. The observed combination of low breeding incidence and high breeding season survival support the hypothesis of a trade-off between the ecological cost of nesting effort and survival for Mottled Duck females. Habitat cues that trigger nesting are unknown and should be investigated.
","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.035.0208","usgsCitation":"Rigby, E.A., and Haukos, D.A., 2012, Breeding season survival and breeding incidence of female Mottled Ducks on the upper Texas gulf coast: Waterbirds, v. 35, no. 2, p. 260-269, https://doi.org/10.1675/063.035.0208.","productDescription":"10 p.","startPage":"260","endPage":"269","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-035536","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":323195,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5757f02fe4b04f417c24da28","contributors":{"authors":[{"text":"Rigby, Elizabeth A.","contributorId":171479,"corporation":false,"usgs":false,"family":"Rigby","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":637582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":637484,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173518,"text":"70173518 - 2012 - The walk is never random: subtle landscape effects shape gene flow in a continuous white-tailed deer population in the Midwestern United States","interactions":[],"lastModifiedDate":"2016-06-16T13:44:11","indexId":"70173518","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The walk is never random: subtle landscape effects shape gene flow in a continuous white-tailed deer population in the Midwestern United States","docAbstract":"One of the pervasive challenges in landscape genetics is detecting gene flow patterns within continuous populations of highly mobile wildlife. Understanding population genetic structure within a continuous population can give insights into social structure, movement across the landscape and contact between populations, which influence ecological interactions, reproductive dynamics or pathogen transmission. We investigated the genetic structure of a large population of deer spanning the area of Wisconsin and Illinois, USA, affected by chronic wasting disease. We combined multiscale investigation, landscape genetic techniques and spatial statistical modelling to address the complex questions of landscape factors influencing population structure. We sampled over 2000 deer and used spatial autocorrelation and a spatial principal components analysis to describe the population genetic structure. We evaluated landscape effects on this pattern using a spatial autoregressive model within a model selection framework to test alternative hypotheses about gene flow. We found high levels of genetic connectivity, with gradients of variation across the large continuous population of white-tailed deer. At the fine scale, spatial clustering of related animals was correlated with the amount and arrangement of forested habitat. At the broader scale, impediments to dispersal were important to shaping genetic connectivity within the population. We found significant barrier effects of individual state and interstate highways and rivers. Our results offer an important understanding of deer biology and movement that will help inform the management of this species in an area where overabundance and disease spread are primary concerns.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-294X.2012.05681.x","usgsCitation":"Robinson, S.J., Samuel, M.D., Lopez, D.L., and Shelton, P., 2012, The walk is never random: subtle landscape effects shape gene flow in a continuous white-tailed deer population in the Midwestern United States: Molecular Ecology, v. 21, no. 17, p. 4190-4205, https://doi.org/10.1111/j.1365-294X.2012.05681.x.","productDescription":"16 p.","startPage":"4190","endPage":"4205","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-035189","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323760,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.977783203125,\n 41.918628865183045\n ],\n [\n -90.977783203125,\n 43.731414013769\n ],\n [\n -87.7642822265625,\n 43.731414013769\n ],\n [\n -87.7642822265625,\n 41.918628865183045\n ],\n [\n -90.977783203125,\n 41.918628865183045\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","issue":"17","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-08-07","publicationStatus":"PW","scienceBaseUri":"5763cdbae4b07657d19ba79a","contributors":{"authors":[{"text":"Robinson, Stacie J.","contributorId":172022,"corporation":false,"usgs":false,"family":"Robinson","given":"Stacie","email":"","middleInitial":"J.","affiliations":[{"id":12508,"text":"Department of Forest and Wildlife Ecology, University of Wisconsin, 1710 University Ave., Room 285, Madison, WI 53726, USA","active":true,"usgs":false}],"preferred":false,"id":637243,"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":637240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lopez, Davin L.","contributorId":171378,"corporation":false,"usgs":false,"family":"Lopez","given":"Davin","email":"","middleInitial":"L.","affiliations":[{"id":7242,"text":"Wisconsin Department of Natural Resources, Madison, WI, USA","active":true,"usgs":false}],"preferred":false,"id":637241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shelton, Paul","contributorId":171375,"corporation":false,"usgs":false,"family":"Shelton","given":"Paul","email":"","affiliations":[{"id":26879,"text":"Illinois DNR, Springfield, IL","active":true,"usgs":false}],"preferred":false,"id":637242,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70173581,"text":"70173581 - 2012 - Strategies to control a common carp population by pulsed commercial harvest","interactions":[],"lastModifiedDate":"2016-06-13T14:52:26","indexId":"70173581","displayToPublicDate":"2013-01-01T00:00:00","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":"Strategies to control a common carp population by pulsed commercial harvest","docAbstract":"Commercial fisheries are commonly used to manage nuisance fishes in freshwater systems, but such efforts are often unsuccessful. Strategies for successfully controlling a nuisance population of common carp Cyprinus carpio by pulsed commercial harvest were evaluated with a combination of (1) field sampling, (2) population estimation and CPUE indexing, and (3) simulation using an exponential semidiscrete biomass dynamics model (SDBDM). The range of annual fishing mortalities (F) that resulted in successful control (F = 0.244–0.265) was narrow. Common carp biomass dynamics were sensitive to unintentional underharvest due to high rates of surplus production and a biomass doubling time of 2.7 years. Simulations indicated that biomanipulation never achieved successful control unless supplemental fishing mortality was imposed. Harvest of a majority of annual production was required to achieve successful control, as indicated by the ecotrophic coefficient (EC). Readily available biomass data and tools such as SDBDMs and ECs can be used in an adaptive management framework to successfully control common carp and other nuisance fishes by pulsed commercial fishing.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2012.728175","usgsCitation":"Colvin, M., Pierce, C., Stewart, T.W., and Grummer, S.E., 2012, Strategies to control a common carp population by pulsed commercial harvest: North American Journal of Fisheries Management, v. 32, no. 6, p. 1251-1264, https://doi.org/10.1080/02755947.2012.728175.","productDescription":"14 p.","startPage":"1251","endPage":"1264","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-035097","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":490010,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/nrem_pubs/66","text":"External Repository"},{"id":323510,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-11-26","publicationStatus":"PW","scienceBaseUri":"575fd931e4b04f417c2baa8c","contributors":{"authors":[{"text":"Colvin, Michael E. 0000-0002-6581-4764","orcid":"https://orcid.org/0000-0002-6581-4764","contributorId":171431,"corporation":false,"usgs":false,"family":"Colvin","given":"Michael E.","affiliations":[{"id":26913,"text":"Iowa State University, Ames, Iowa","active":true,"usgs":false}],"preferred":false,"id":637368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pierce, Clay 0000-0001-5088-5431 cpierce@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-5431","contributorId":150492,"corporation":false,"usgs":true,"family":"Pierce","given":"Clay","email":"cpierce@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stewart, Timothy W.","contributorId":171433,"corporation":false,"usgs":false,"family":"Stewart","given":"Timothy","email":"","middleInitial":"W.","affiliations":[{"id":26913,"text":"Iowa State University, Ames, Iowa","active":true,"usgs":false}],"preferred":false,"id":637370,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grummer, Scott E.","contributorId":171432,"corporation":false,"usgs":false,"family":"Grummer","given":"Scott","email":"","middleInitial":"E.","affiliations":[{"id":26914,"text":"Iowa Department of Natural Resources, Clear Lake, Iowa","active":true,"usgs":false}],"preferred":false,"id":637369,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70042287,"text":"70042287 - 2012 - The resilience and functional role of moss in boreal and arctic ecosystems","interactions":[],"lastModifiedDate":"2013-03-13T19:12:29","indexId":"70042287","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2863,"text":"New Phytologist","active":true,"publicationSubtype":{"id":10}},"title":"The resilience and functional role of moss in boreal and arctic ecosystems","docAbstract":"Mosses in northern ecosystems are ubiquitous components of plant communities, and strongly influence nutrient, carbon and water cycling. We use literature review, synthesis and model simulations to explore the role of mosses in ecological stability and resilience. Moss community responses to disturbance showed all possible responses (increases, decreases, no change) within most disturbance categories. Simulations from two process-based models suggest that northern ecosystems would need to experience extreme perturbation before mosses were eliminated. But simulations with two other models suggest that loss of moss will reduce soil carbon accumulation primarily by influencing decomposition rates and soil nitrogen availability. It seems clear that mosses need to be incorporated into models as one or more plant functional types, but more empirical work is needed to determine how to best aggregate species. We highlight several issues that have not been adequately explored in moss communities, such as functional redundancy and singularity, relationships between response and effect traits, and parameter vs conceptual uncertainty in models. Mosses play an important role in several ecosystem processes that play out over centuries – permafrost formation and thaw, peat accumulation, development of microtopography – and there is a need for studies that increase our understanding of slow, long-term dynamical processes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"New Phytologist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1469-8137.2012.04254.x","usgsCitation":"Turetsky, M., Bond-Lamberty, B., Euskirchen, E., Talbot, J.J., Frolking, S., McGuire, A., and Tuittila, E., 2012, The resilience and functional role of moss in boreal and arctic ecosystems: New Phytologist, v. 196, no. 1, p. 49-67, https://doi.org/10.1111/j.1469-8137.2012.04254.x.","productDescription":"19 p.","startPage":"49","endPage":"67","ipdsId":"IP-037711","costCenters":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":474167,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1469-8137.2012.04254.x","text":"Publisher Index Page"},{"id":269278,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1469-8137.2012.04254.x"},{"id":269279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"196","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-08-24","publicationStatus":"PW","scienceBaseUri":"5141a016e4b0eefcba208e3a","contributors":{"authors":[{"text":"Turetsky, M.","contributorId":108302,"corporation":false,"usgs":true,"family":"Turetsky","given":"M.","affiliations":[],"preferred":false,"id":471214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bond-Lamberty, B.","contributorId":74269,"corporation":false,"usgs":true,"family":"Bond-Lamberty","given":"B.","affiliations":[],"preferred":false,"id":471212,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Euskirchen, E.S.","contributorId":44737,"corporation":false,"usgs":true,"family":"Euskirchen","given":"E.S.","affiliations":[],"preferred":false,"id":471210,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Talbot, J. J.","contributorId":21045,"corporation":false,"usgs":false,"family":"Talbot","given":"J.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":471209,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Frolking, S.","contributorId":96565,"corporation":false,"usgs":true,"family":"Frolking","given":"S.","affiliations":[],"preferred":false,"id":471213,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McGuire, A. D.","contributorId":16552,"corporation":false,"usgs":true,"family":"McGuire","given":"A. D.","affiliations":[],"preferred":false,"id":471208,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tuittila, E.S.","contributorId":51180,"corporation":false,"usgs":true,"family":"Tuittila","given":"E.S.","affiliations":[],"preferred":false,"id":471211,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70042320,"text":"70042320 - 2012 - A prototype splitter apparatus for dividing large catches of small fish","interactions":[],"lastModifiedDate":"2013-02-26T19:55:46","indexId":"70042320","displayToPublicDate":"2013-01-01T00:00:00","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 prototype splitter apparatus for dividing large catches of small fish","docAbstract":"Due to financial and time constraints, it is often necessary in fisheries studies to divide large samples of fish and estimate total catch from the subsample. The subsampling procedure may involve potential human biases or may be difficult to perform in rough conditions. We present a prototype gravity-fed splitter apparatus for dividing large samples of small fish (30–100 mm TL). The apparatus features a tapered hopper with a sliding and removable shutter. The apparatus provides a comparatively stable platform for objectively obtaining subsamples, and it can be modified to accommodate different sizes of fish and different sample volumes. The apparatus is easy to build, inexpensive, and convenient to use in the field. To illustrate the performance of the apparatus, we divided three samples (total N = 2,000 fish) composed of four fish species. Our results indicated no significant bias in estimating either the number or proportion of each species from the subsample. Use of this apparatus or a similar apparatus can help to standardize subsampling procedures in large surveys of fish. The apparatus could be used for other applications that require dividing a large amount of material into one or more smaller subsamples.","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":"10.1080/02755947.2012.716018","usgsCitation":"Stapanian, M.A., and Edwards, W.H., 2012, A prototype splitter apparatus for dividing large catches of small fish: North American Journal of Fisheries Management, v. 32, no. 6, p. 1033-1038, https://doi.org/10.1080/02755947.2012.716018.","productDescription":"6 p.","startPage":"1033","endPage":"1038","ipdsId":"IP-039007","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":268424,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268423,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2012.716018"}],"volume":"32","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-10-04","publicationStatus":"PW","scienceBaseUri":"53cd4a63e4b0b290850efbe8","contributors":{"authors":[{"text":"Stapanian, Martin A. 0000-0001-8173-4273 mstapanian@usgs.gov","orcid":"https://orcid.org/0000-0001-8173-4273","contributorId":3425,"corporation":false,"usgs":true,"family":"Stapanian","given":"Martin","email":"mstapanian@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":471270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwards, William H.","contributorId":9144,"corporation":false,"usgs":true,"family":"Edwards","given":"William","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":471271,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70042325,"text":"70042325 - 2012 - Enterococci in the environment","interactions":[],"lastModifiedDate":"2020-09-11T18:01:45.393699","indexId":"70042325","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2730,"text":"Microbiology and Molecular Biology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Enterococci in the environment","docAbstract":"Enterococci are common, commensal members of gut communities in mammals and birds, yet they are also opportunistic pathogens that cause millions of human and animal infections annually. Because they are shed in human and animal feces, are readily culturable, and predict human health risks from exposure to polluted recreational waters, they are used as surrogates for waterborne pathogens and as fecal indicator bacteria (FIB) in research and in water quality testing throughout the world. Evidence from several decades of research demonstrates, however, that enterococci may be present in high densities in the absence of obvious fecal sources and that environmental reservoirs of these FIB are important sources and sinks, with the potential to impact water quality. This review focuses on the distribution and microbial ecology of enterococci in environmental (secondary) habitats, including the effect of environmental stressors; an outline of their known and apparent sources, sinks, and fluxes; and an overview of the use of enterococci as FIB. Finally, the significance of emerging methodologies, such as microbial source tracking (MST) and empirical predictive models, as tools in water quality monitoring is addressed. The mounting evidence for widespread extraenteric sources and reservoirs of enterococci demonstrates the versatility of the genus Enterococcus and argues for the necessity of a better understanding of their ecology in natural environments, as well as their roles as opportunistic pathogens and indicators of human pathogens.
","language":"English","publisher":"American Society for Microbiology","publisherLocation":"Washington, D.C.","doi":"10.1128/MMBR.00023-12","usgsCitation":"Byappanahalli, M., Nevers, M.B., Korajkic, A., Staley, Z.R., and Harwood, V.J., 2012, Enterococci in the environment: Microbiology and Molecular Biology Reviews, v. 76, no. 4, p. 685-706, https://doi.org/10.1128/MMBR.00023-12.","productDescription":"22 p.","startPage":"685","endPage":"706","ipdsId":"IP-039003","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":474322,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1128/mmbr.00023-12","text":"External Repository"},{"id":268799,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"513721fae4b02ab8869bffcd","contributors":{"authors":[{"text":"Byappanahalli, Muruleedhara N.","contributorId":47335,"corporation":false,"usgs":true,"family":"Byappanahalli","given":"Muruleedhara N.","affiliations":[],"preferred":false,"id":471274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nevers, Meredith B.","contributorId":91803,"corporation":false,"usgs":true,"family":"Nevers","given":"Meredith","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":471277,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Korajkic, Asja","contributorId":93359,"corporation":false,"usgs":true,"family":"Korajkic","given":"Asja","email":"","affiliations":[],"preferred":false,"id":471278,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Staley, Zachery R.","contributorId":82593,"corporation":false,"usgs":true,"family":"Staley","given":"Zachery","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":471276,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harwood, Valerie J.","contributorId":66567,"corporation":false,"usgs":true,"family":"Harwood","given":"Valerie","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":471275,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70042289,"text":"70042289 - 2012 - Fluid‐driven seismicity response of the Rinconada fault near Paso Robles, California, to the 2003 M 6.5 San Simeon earthquake","interactions":[],"lastModifiedDate":"2013-03-13T19:25:48","indexId":"70042289","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Fluid‐driven seismicity response of the Rinconada fault near Paso Robles, California, to the 2003 M 6.5 San Simeon earthquake","docAbstract":"The 2003 M 6.5 San Simeon, California, earthquake caused significant damage in the city of Paso Robles and a persistent cluster of aftershocks close to Paso Robles near the Rinconada fault. Given the importance of secondary aftershock triggering in sequences of large events, a concern is whether this cluster of events could trigger another damaging earthquake near Paso Robles. An epidemic‐type aftershock sequence (ETAS) model is fit to the Rinconada seismicity, and multiple realizations indicate a 0.36% probability of at least one M≥6.0 earthquake during the next 30 years. However, this probability estimate is only as good as the projection into the future of the ETAS model. There is evidence that the seismicity may be influenced by fluid pressure changes, which cannot be forecasted using ETAS. The strongest evidence for fluids is the delay between the San Simeon mainshock and a high rate of seismicity in mid to late 2004. This delay can be explained as having been caused by a pore pressure decrease due to an undrained response to the coseismic dilatation, followed by increased pore pressure during the return to equilibrium. Seismicity migration along the fault also suggests fluid involvement, although the migration is too slow to be consistent with pore pressure diffusion. All other evidence, including focal mechanisms and b‐value, is consistent with tectonic earthquakes. This suggests a model where the role of fluid pressure changes is limited to the first seven months, while the fluid pressure equilibrates. The ETAS modeling adequately fits the events after July 2004 when the pore pressure stabilizes. The ETAS models imply that while the probability of a damaging earthquake on the Rinconada fault has approximately doubled due to the San Simeon earthquake, the absolute probability remains low.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","publisherLocation":"El Cerrito, CA","doi":"10.1785/0120110169","usgsCitation":"Hardebeck, J.L., 2012, Fluid‐driven seismicity response of the Rinconada fault near Paso Robles, California, to the 2003 M 6.5 San Simeon earthquake: Bulletin of the Seismological Society of America, v. 102, no. 1, p. 377-390, https://doi.org/10.1785/0120110169.","productDescription":"14 p.","startPage":"377","endPage":"390","ipdsId":"IP-030353","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":269280,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120110169"},{"id":269281,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.4,32.5 ], [ -124.4,42.0 ], [ -114.1,42.0 ], [ -114.1,32.5 ], [ -124.4,32.5 ] ] ] } } ] }","volume":"102","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-02-15","publicationStatus":"PW","scienceBaseUri":"51419ff9e4b0eefcba208d9a","contributors":{"authors":[{"text":"Hardebeck, Jeanne L. 0000-0002-6737-7780 jhardebeck@usgs.gov","orcid":"https://orcid.org/0000-0002-6737-7780","contributorId":841,"corporation":false,"usgs":true,"family":"Hardebeck","given":"Jeanne","email":"jhardebeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":471216,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70173871,"text":"70173871 - 2012 - Application of a bioenergetics model for hatchery production: Largemouth bass fed commercial diets","interactions":[],"lastModifiedDate":"2016-06-15T15:15:22","indexId":"70173871","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2885,"text":"North American Journal of Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"Application of a bioenergetics model for hatchery production: Largemouth bass fed commercial diets","docAbstract":"Fish bioenergetics models based on natural prey items have been widely used to address research and management questions. However, few attempts have been made to evaluate and apply bioenergetics models to hatchery-reared fish receiving commercial feeds that contain substantially higher energy densities than natural prey. In this study, we evaluated a bioenergetics model for age-0 largemouth bass Micropterus salmoidesreared on four commercial feeds. Largemouth bass (n ≈ 3,504) were reared for 70 d at 25°C in sixteen 833-L circular tanks connected in parallel to a recirculation system. Model performance was evaluated using error components (mean, slope, and random) derived from decomposition of the mean square error obtained from regression of observed on predicted values. Mean predicted consumption was only 8.9% lower than mean observed consumption and was similar to error rates observed for largemouth bass consuming natural prey. Model evaluation showed that the 97.5% joint confidence region included the intercept of 0 (−0.43 ± 3.65) and slope of 1 (1.08 ± 0.20), which indicates the model accurately predicted consumption. Moreover model error was similar among feeds (P = 0.98), and most error was probably attributable to sampling error (unconsumed feed), underestimated predator energy densities, or consumption-dependent error, which is common in bioenergetics models. This bioenergetics model could provide a valuable tool in hatchery production of largemouth bass. Furthermore, we believe that bioenergetics modeling could be useful in aquaculture production, particularly for species lacking historical hatchery constants or conventional growth models.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/15222055.2012.675998","usgsCitation":"Csargo, I.J., Brown, M.L., and Chipps, S.R., 2012, Application of a bioenergetics model for hatchery production: Largemouth bass fed commercial diets: North American Journal of Aquaculture, v. 74, no. 3, p. 352-359, https://doi.org/10.1080/15222055.2012.675998.","productDescription":"8 p.","startPage":"352","endPage":"359","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-034017","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323711,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-06-26","publicationStatus":"PW","scienceBaseUri":"57627c2ee4b07657d19a69c3","contributors":{"authors":[{"text":"Csargo, Isak J.","contributorId":171858,"corporation":false,"usgs":false,"family":"Csargo","given":"Isak","email":"","middleInitial":"J.","affiliations":[{"id":26958,"text":"South Dakota State University, Brookings, SD","active":true,"usgs":false}],"preferred":false,"id":638874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Michael L.","contributorId":171856,"corporation":false,"usgs":false,"family":"Brown","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":26958,"text":"South Dakota State University, Brookings, SD","active":true,"usgs":false}],"preferred":false,"id":638875,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":638873,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70041988,"text":"70041988 - 2012 - Prey selection by the Lake Superior fish community","interactions":[],"lastModifiedDate":"2013-03-04T14:35:15","indexId":"70041988","displayToPublicDate":"2013-01-01T00:00:00","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}},"title":"Prey selection by the Lake Superior fish community","docAbstract":"Mysis diluviana is an important prey item to the Lake Superior fish community as found through a recent diet study. We further evaluated this by relating the quantity of prey found in fish diets to the quantity of prey available to fish, providing insight into feeding behavior and prey preferences. We describe the seasonal prey selection of major fish species collected across 18 stations in Lake Superior in spring, summer, and fall of 2005. Of the major nearshore fish species, bloater (Coregonus hoyi), rainbow smelt (Osmerus mordax), and lake whitefish (Coregonus clupeaformis) consumed Mysis, and strongly selected Mysis over other prey items each season. However, lake whitefish also selected Bythotrephes in the fall when Bythotrephes were numerous. Cisco (Coregonus artedi), a major nearshore and offshore species, fed largely on calanoid copepods, and selected calanoid copepods (spring) and Bythotrephes (summer and fall). Cisco also targeted prey similarly across bathymetric depths. Other major offshore fish species such as kiyi (Coregonus kiyi) and deepwater sculpin (Myoxocephalus thompsoni) fed largely on Mysis, with kiyi targeting Mysis exclusively while deepwater sculpin did not prefer any single prey organism. The major offshore predator siscowet lake trout (Salvelinus namaycush siscowet) consumed deepwater sculpin and coregonines, but selected deepwater sculpin and Mysis each season, with juveniles having a higher selection for Mysis than adults. Our results suggest that Mysis is not only a commonly consumed prey item, but a highly preferred prey item for pelagic, benthic, and piscivorous fishes in nearshore and offshore waters of Lake Superior.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jglr.2012.02.017","usgsCitation":"Isaac, E.J., Hrabik, T.R., Stockwell, J.D., and Gamble, A.E., 2012, Prey selection by the Lake Superior fish community: Journal of Great Lakes Research, v. 38, no. 2, p. 326-335, https://doi.org/10.1016/j.jglr.2012.02.017.","productDescription":"10 p.","startPage":"326","endPage":"335","ipdsId":"IP-035901","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":268719,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2012.02.017"},{"id":268720,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Lake Superior","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.5,46.25 ], [ -92.5,49.0 ], [ -84.33,49.0 ], [ -84.33,46.25 ], [ -92.5,46.25 ] ] ] } } ] }","volume":"38","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5135d092e4b03b8ec4025bad","contributors":{"authors":[{"text":"Isaac, Edmund J.","contributorId":64120,"corporation":false,"usgs":true,"family":"Isaac","given":"Edmund","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":470542,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hrabik, Thomas R.","contributorId":35614,"corporation":false,"usgs":false,"family":"Hrabik","given":"Thomas","email":"","middleInitial":"R.","affiliations":[{"id":6915,"text":"University of Minnesota - Duluth","active":true,"usgs":false}],"preferred":false,"id":470539,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockwell, Jason D. 0000-0003-3393-6799","orcid":"https://orcid.org/0000-0003-3393-6799","contributorId":61004,"corporation":false,"usgs":false,"family":"Stockwell","given":"Jason","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":470541,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gamble, Allison E.","contributorId":56940,"corporation":false,"usgs":true,"family":"Gamble","given":"Allison","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":470540,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70041875,"text":"70041875 - 2012 - Golden Gate Bridge response: a study with low-amplitude data from three earthquakes","interactions":[],"lastModifiedDate":"2013-03-05T11:42:55","indexId":"70041875","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Golden Gate Bridge response: a study with low-amplitude data from three earthquakes","docAbstract":"The dynamic response of the Golden Gate Bridge, located north of San Francisco, CA, has been studied previously using ambient vibration data and finite element models. Since permanent seismic instrumentation was installed in 1993, only small earthquakes that originated at distances varying between ~11 to 122 km have been recorded. Nonetheless, these records prompted this study of the response of the bridge to low amplitude shaking caused by three earthquakes. Compared to previous ambient vibration studies, the earthquake response data reveal a slightly higher fundamental frequency (shorter-period) for vertical vibration of the bridge deck center span (~7.7–8.3 s versus 8.2–10.6 s), and a much higher fundamental frequency (shorter period) for the transverse direction of the deck (~11.24–16.3 s versus ~18.2 s). In this study, it is also shown that these two periods are dominant apparent periods representing interaction between tower, cable, and deck.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earthquake Spectra","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"EERI","publisherLocation":"Oakland, CA","doi":"10.1193/1.4000018","usgsCitation":"Çelebi, M., 2012, Golden Gate Bridge response: a study with low-amplitude data from three earthquakes: Earthquake Spectra, v. 28, no. 2, p. 487-510, https://doi.org/10.1193/1.4000018.","productDescription":"24 p.","startPage":"487","endPage":"510","ipdsId":"IP-026135","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":268760,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1193/1.4000018"},{"id":268761,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Golden Gate Bridge","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.4,32.5 ], [ -124.4,42.0 ], [ -114.1,42.0 ], [ -114.1,32.5 ], [ -124.4,32.5 ] ] ] } } ] }","volume":"28","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-05-01","publicationStatus":"PW","scienceBaseUri":"51372200e4b02ab8869bffd4","contributors":{"authors":[{"text":"Çelebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":3205,"corporation":false,"usgs":true,"family":"Çelebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":470271,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70041998,"text":"70041998 - 2012 - Multiple functions of a multi-component mating pheromone in sea lamprey Petromyzon marinus","interactions":[],"lastModifiedDate":"2013-03-04T21:38:06","indexId":"70041998","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"title":"Multiple functions of a multi-component mating pheromone in sea lamprey Petromyzon marinus","docAbstract":"The role of the C24 sulphate in the mating pheromone component, 7α,12α,24-trihydroxy-5α-cholan-3-one 24-sulphate (3kPZS), to specifically induce upstream movement in ovulated female sea lampreys Petromyzon marinus was investigated. 7α,12α-dihydroxy-5α-cholan-3-one 24-oic acid (3kACA), a structurally similar bile acid released by spermiated males, but lacking the C24 sulphate ester, was tested in bioassays at concentrations between 10−11 and 10−14 molar (M). 3kACA did not induce upstream movement in females or additional reproductive behaviours. In contrast, spermiated male washings induced upstream movement, prolonged retention on a nest and induced an array of nesting behaviours. Differential extraction and elution by solid-phase extraction resins showed that components other than 3kPZS + 3kACA are necessary to retain females on nests and induce nest cleaning behaviours. All pheromone components, including components in addition to 3kPZS + 3kACA that retain females and induce nest cleaning behaviours were released from the anterior region of the males, as had been reported for 3kPZS. It is concluded that the sea lamprey male mating pheromone has multiple functions and is composed of multiple components.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Fish Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1095-8649.2011.03185.x","usgsCitation":"Johnson, N., Yun, S., Buchinger, T., and Li, W., 2012, Multiple functions of a multi-component mating pheromone in sea lamprey Petromyzon marinus: Journal of Fish Biology, v. 80, no. 3, p. 538-554, https://doi.org/10.1111/j.1095-8649.2011.03185.x.","productDescription":"7 p.","startPage":"538","endPage":"554","ipdsId":"IP-028340","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":489716,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1095-8649.2011.03185.x","text":"Publisher Index Page"},{"id":268737,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268736,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1095-8649.2011.03185.x"}],"volume":"80","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-02-03","publicationStatus":"PW","scienceBaseUri":"5135d089e4b03b8ec4025b7a","contributors":{"authors":[{"text":"Johnson, N.S.","contributorId":73436,"corporation":false,"usgs":true,"family":"Johnson","given":"N.S.","email":"","affiliations":[],"preferred":false,"id":470568,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yun, S.-S.","contributorId":94831,"corporation":false,"usgs":true,"family":"Yun","given":"S.-S.","email":"","affiliations":[],"preferred":false,"id":470570,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buchinger, T.J.","contributorId":103543,"corporation":false,"usgs":true,"family":"Buchinger","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":470571,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Li, W.","contributorId":85361,"corporation":false,"usgs":true,"family":"Li","given":"W.","email":"","affiliations":[],"preferred":false,"id":470569,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70003946,"text":"70003946 - 2012 - Factors influencing geographic patterns in diversity of forest bird communities of eastern Connecticut, USA","interactions":[],"lastModifiedDate":"2024-06-18T14:10:32.473227","indexId":"70003946","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"Factors influencing geographic patterns in diversity of forest bird communities of eastern Connecticut, USA","docAbstract":"At regional scales, the most important variables associated with diversity are latitudinally-based temperature and net primary productivity, although diversity is also influenced by habitat. We examined bird species richness, community density and community evenness in forests of eastern Connecticut to determine whether: 1) spatial and seasonal patterns exist in diversity, 2) energy explains the greatest proportion of variation in diversity parameters, 3) variation in habitat explains remaining diversity variance, and 4) seasonal shifts in diversity provide clues about how environmental variables shape communities. We sought to discover if our data supported predictions of the species–energy hypothesis. We used the variable circular plot technique to estimate bird populations and quantified the location, elevation, forest type, vegetation type, canopy cover, moisture regime, understory density and primary production for the study sites. We found that 1) summer richness and population densities are roughly equal in northeastern and southeastern Connecticut, whereas in winter both concentrate toward the coast, 2) variables linked with temperature explained much of the patterns in winter diversity, but energy-related variables showed little relationship to summer diversity, 3) the effect of habitat variables on diversity parameters predominated in summer, although their effect was weak, 4) contrary to theory, evenness increased from summer to winter, and 5) support for predictions of species–energy theory was primarily restricted to winter data. Although energy and habitat played a role in explaining community patterns, they left much of the variance in regional diversity unexplained, suggesting that a large stochastic component to diversity also may exist.","language":"English","publisher":"Wiley","doi":"10.1111/j.1600-0587.2012.07790.x","usgsCitation":"Craig, R., and Klaver, R.W., 2012, Factors influencing geographic patterns in diversity of forest bird communities of eastern Connecticut, USA: Ecography, v. 36, no. 5, p. 599-609, https://doi.org/10.1111/j.1600-0587.2012.07790.x.","productDescription":"11 p.","startPage":"599","endPage":"609","ipdsId":"IP-021424","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":474272,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://lib.dr.iastate.edu/nrem_pubs/213","text":"Publisher Index Page"},{"id":274137,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.73,40.99 ], [ -73.73,42.05 ], [ -71.79,42.05 ], [ -71.79,40.99 ], [ -73.73,40.99 ] ] ] } } ] }","volume":"36","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51cabbe0e4b0d298e5434c34","contributors":{"authors":[{"text":"Craig, Robert J.","contributorId":79781,"corporation":false,"usgs":true,"family":"Craig","given":"Robert J.","affiliations":[],"preferred":false,"id":349660,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":349659,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}