{"pageNumber":"634","pageRowStart":"15825","pageSize":"25","recordCount":40807,"records":[{"id":70048559,"text":"70048559 - 2013 - Direct and indirect effects of land use on floral resources and flower-visiting insects across an urban landscape","interactions":[],"lastModifiedDate":"2013-10-30T10:50:03","indexId":"70048559","displayToPublicDate":"2013-10-22T14:06:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2939,"text":"Oikos","active":true,"publicationSubtype":{"id":10}},"title":"Direct and indirect effects of land use on floral resources and flower-visiting insects across an urban landscape","docAbstract":"Although urban areas are often considered to have uniformly negative effects on biodiversity, cities are most accurately characterized as heterogeneous mosaics of buildings, streets, parks, and gardens that include both ‘good’ and ‘bad’ areas for wildlife. However, to date, few studies have evaluated how human impacts vary in direction and magnitude across a heterogeneous urban landscape. In this study, we assessed the distribution of floral resources and flower-visiting insects across a variety of land uses in New York City. We visited both green spaces (e.g. parks, cemeteries) and heavily developed neighborhood blocks (e.g. with high or low density residential zoning) and used structural equation modeling (SEM) to evaluate the direct and indirect effects of median income, vegetation, and development intensity on floral resources and insects in both settings. Abundance and taxonomic richness of flower-visiting insects was significantly greater in green spaces than neighborhood blocks. The SEM results indicated that heavily-developed neighborhoods generally had fewer flower-visiting insects consistent with reductions in floral resources. However, some low-density residential neighborhoods maintained high levels of floral resources and flower-visiting insects. We found that the effects of surrounding vegetation on floral resources, and thus indirect effects on insects, varied considerably between green spaces and neighborhood blocks. Along neighborhood blocks, vegetation consisted of a mosaic of open gardens and sparsely distributed trees and had a positive indirect effect on flower-visiting insects. In contrast, vegetation in urban green spaces was associated with increased canopy cover and thus had a negative indirect effect on flower-visiting insects through reductions in floral resources. In both neighborhood blocks and green spaces, vegetation had a positive direct effect on flower-visiting insects independent of the influence of vegetation on floral resources. Our results demonstrate how inter-related components of an urban ecosystem can vary with respect to one another across a heterogeneous urban landscape, suggesting that it is inappropriate to generalize about urban systems as a whole without first addressing differences among component land use types.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Oikos","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/j.1600-0706.2012.20229.x","usgsCitation":"Matteson, K., Grace, J.B., and Minor, E., 2013, Direct and indirect effects of land use on floral resources and flower-visiting insects across an urban landscape: Oikos, v. 122, no. 5, p. 682-694, https://doi.org/10.1111/j.1600-0706.2012.20229.x.","productDescription":"13 p.","startPage":"682","endPage":"694","ipdsId":"IP-034352","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":473478,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1600-0706.2012.20229.x","text":"Publisher Index Page"},{"id":278327,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278326,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1600-0706.2012.20229.x"}],"volume":"122","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-09-07","publicationStatus":"PW","scienceBaseUri":"52679063e4b0c24c90856d75","contributors":{"authors":[{"text":"Matteson, K.C.","contributorId":61738,"corporation":false,"usgs":true,"family":"Matteson","given":"K.C.","email":"","affiliations":[],"preferred":false,"id":485086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":485084,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Minor, E.S.","contributorId":53282,"corporation":false,"usgs":true,"family":"Minor","given":"E.S.","email":"","affiliations":[],"preferred":false,"id":485085,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70072688,"text":"70072688 - 2013 - Survival of mountain quail translocated from two distinct source populations","interactions":[],"lastModifiedDate":"2014-01-22T12:34:10","indexId":"70072688","displayToPublicDate":"2013-10-22T10:49:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Survival of mountain quail translocated from two distinct source populations","docAbstract":"Translocation of mountain quail (Oreortyx pictus) to restore viable populations to their former range has become a common practice. Because differences in post-release vital rates between animals from multiple source populations has not been well studied, wildlife and land managers may arbitrarily choose the source population or base the source population on immediate availability when planning translocation projects. Similarly, an understanding of the optimal proportion of individuals from different age and sex classes for translocation would benefit translocation planning. During 2006 and 2007, we captured and translocated 125 mountain quail from 2 ecologically distinct areas: 38 from southern California and 87 from southwestern Oregon. We released mountain quail in the Bennett Hills of south-central Idaho. We radio-marked and monitored a subsample of 58 quail and used them for a 2-part survival analysis. Cumulative survival probability was 0.23 ± 0.05 (SE) at 150 days post-release. We first examined an a priori hypothesis (model) that survival varied between the 2 distinct source populations. We found that source population did not explain variation in survival. This result suggests that wildlife managers have flexibility in selecting source populations for mountain quail translocation efforts. In a post hoc examination, we pooled the quail across source populations and evaluated differences in survival probabilities between sex and age classes. The most parsimonious model indicated that adult male survival was substantially less than survival rates of other mountain quail age and sex classes (i.e., interaction between sex and age). This result suggests that translocation success could benefit by translocating yearling males rather than adult males, perhaps because adult male breeding behavior results in vulnerability to predators","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jwmg.549","usgsCitation":"Troy, R.J., Coates, P.S., Connelly, J., Gillette, G., and Delehanty, D., 2013, Survival of mountain quail translocated from two distinct source populations: Journal of Wildlife Management, v. 77, no. 5, p. 1031-1037, https://doi.org/10.1002/jwmg.549.","productDescription":"7 p.","startPage":"1031","endPage":"1037","ipdsId":"IP-034738","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":281372,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281123,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.549"}],"volume":"77","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-04-11","publicationStatus":"PW","scienceBaseUri":"53cd7614e4b0b2908510aac9","contributors":{"authors":[{"text":"Troy, Ronald J.","contributorId":91733,"corporation":false,"usgs":true,"family":"Troy","given":"Ronald","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":488556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":488552,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Connelly, John W.","contributorId":32391,"corporation":false,"usgs":true,"family":"Connelly","given":"John W.","affiliations":[],"preferred":false,"id":488553,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gillette, Gifford","contributorId":36410,"corporation":false,"usgs":true,"family":"Gillette","given":"Gifford","affiliations":[],"preferred":false,"id":488554,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Delehanty, David J.","contributorId":86683,"corporation":false,"usgs":true,"family":"Delehanty","given":"David J.","affiliations":[],"preferred":false,"id":488555,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70048551,"text":"70048551 - 2013 - Low copper and high manganese levels in prion protein plaques","interactions":[],"lastModifiedDate":"2018-01-04T15:23:44","indexId":"70048551","displayToPublicDate":"2013-10-22T10:16:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3700,"text":"Viruses","active":true,"publicationSubtype":{"id":10}},"title":"Low copper and high manganese levels in prion protein plaques","docAbstract":"

Accumulation of aggregates rich in an abnormally folded form of the prion protein characterize the neurodegeneration caused by transmissible spongiform encephalopathies (TSEs). The molecular triggers of plaque formation and neurodegeneration remain unknown, but analyses of TSE-infected brain homogenates and preparations enriched for abnormal prion protein suggest that reduced levels of copper and increased levels of manganese are associated with disease. The objectives of this study were to: (1) assess copper and manganese levels in healthy and TSE-infected Syrian hamster brain homogenates; (2) determine if the distribution of these metals can be mapped in TSE-infected brain tissue using X-ray photoelectron emission microscopy (X-PEEM) with synchrotron radiation; and (3) use X-PEEM to assess the relative amounts of copper and manganese in prion plaques in situ. In agreement with studies of other TSEs and species, we found reduced brain levels of copper and increased levels of manganese associated with disease in our hamster model. We also found that the in situ levels of these metals in brainstem were sufficient to image by X-PEEM. Using immunolabeled prion plaques in directly adjacent tissue sections to identify regions to image by X-PEEM, we found a statistically significant relationship of copper-manganese dysregulation in prion plaques: copper was depleted whereas manganese was enriched. These data provide evidence for prion plaques altering local transition metal distribution in the TSE-infected central nervous system.

","language":"English","publisher":"Multidisciplinary Digital Publishing Institute","doi":"10.3390/v5020654","usgsCitation":"Johnson, C.J., Gilbert, P., Abrecth, M., Baldwin, K.L., Russell, R.E., Pedersen, J.A., and McKenzie, D., 2013, Low copper and high manganese levels in prion protein plaques: Viruses, v. 5, no. 2, p. 654-662, https://doi.org/10.3390/v5020654.","productDescription":"9 p.","startPage":"654","endPage":"662","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043607","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":473479,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/v5020654","text":"Publisher Index Page"},{"id":278315,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278314,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3390/v5020654"}],"volume":"5","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-02-11","publicationStatus":"PW","scienceBaseUri":"52679068e4b0c24c90856d90","contributors":{"authors":[{"text":"Johnson, Christopher J. cjjohnson@usgs.gov","contributorId":3491,"corporation":false,"usgs":true,"family":"Johnson","given":"Christopher","email":"cjjohnson@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":485047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gilbert, P.U.P.A.","contributorId":80172,"corporation":false,"usgs":true,"family":"Gilbert","given":"P.U.P.A.","email":"","affiliations":[],"preferred":false,"id":485051,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abrecth, Mike","contributorId":53281,"corporation":false,"usgs":true,"family":"Abrecth","given":"Mike","email":"","affiliations":[],"preferred":false,"id":485050,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baldwin, Katherine L.","contributorId":44821,"corporation":false,"usgs":true,"family":"Baldwin","given":"Katherine","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":485049,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Russell, Robin E. 0000-0001-8726-7303 rerussell@usgs.gov","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":3998,"corporation":false,"usgs":true,"family":"Russell","given":"Robin","email":"rerussell@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":485048,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pedersen, Joel A.","contributorId":85079,"corporation":false,"usgs":true,"family":"Pedersen","given":"Joel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":485053,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McKenzie, Debbie","contributorId":82211,"corporation":false,"usgs":true,"family":"McKenzie","given":"Debbie","affiliations":[],"preferred":false,"id":485052,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70048511,"text":"70048511 - 2013 - Pregnancy rates in central Yellowstone bison","interactions":[],"lastModifiedDate":"2017-02-27T11:52:23","indexId":"70048511","displayToPublicDate":"2013-10-21T13:29:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Pregnancy rates in central Yellowstone bison","docAbstract":"

Plains bison (Bison b. bison) centered on Yellowstone National Park are chronically infected with brucellosis (Brucella abortus) and culled along the park boundaries to reduce the probability of disease transmission to domestic livestock. We evaluated the relationship between pregnancy rates and age, dressed carcass weight, and serological status for brucellosis among bison culled from the central Yellowstone subpopulation during the winters of 1996–1997, 2001–2002, and 2002–2003. A model with only dressed carcass weight was the best predictor of pregnancy status for all ages with the odds of pregnancy increasing by 1.03 (95% CI = 1.02–1.04) for every 1-kg increase in weight. We found no effect of age or the serological status for brucellosis on pregnancy rates across age classes; however, we did find a positive association between age and pregnancy rates for bison ≥2 years old. Bison ≥2 years old had an overall pregnancy rate of 65% with markedly different rates in alternate ages for animals between 3 and 7 years old. Pregnancy rates were 0.50 (95% CI = 0.31–0.69) for brucellosis positive and 0.57 (95% CI = 0.34–0.78) for brucellosis negative 2- and 3-year-olds and 0.74 (95% CI = 0.60–0.85) in brucellosis positive and 0.69 (95% CI = 0.49–0.85) in brucellosis negative bison ≥4 years old. Only 1 of 21 bison <2 years old was pregnant. Our findings are important to accurately predict the effects of brucellosis on Yellowstone bison population dynamics. We review our results relative to other studies of Yellowstone bison that concluded serological status for brucellosis influences pregnancy rates.

","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.558","usgsCitation":"Gogan, P.J., Russell, R.E., Olexa, E.M., and Podruzny, K.M., 2013, Pregnancy rates in central Yellowstone bison: Journal of Wildlife Management, v. 77, no. 6, p. 1271-1279, https://doi.org/10.1002/jwmg.558.","productDescription":"9 p.","startPage":"1271","endPage":"1279","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-040599","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":278298,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": 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This study evaluated the coupled continuum pipe-flow framework for modeling karst groundwater flow in the Madison aquifer of western South Dakota (USA). Coupled conduit and matrix flow was simulated within a regional finite-difference model over a 10-year transient period. An existing equivalent porous medium (EPM) model was modified to include major conduit networks whose locations were constrained by dye-tracing data and environmental tracer analysis. Model calibration data included measured hydraulic heads at observation wells and estimates of discharge at four karst springs. Relative to the EPM model, the match to observation well hydraulic heads was substantially improved with the addition of conduits. The inclusion of conduit flow allowed for a simpler hydraulic conductivity distribution in the matrix continuum. Two of the high-conductivity zones in the EPM model, which were required to indirectly simulate the effects of conduits, were eliminated from the new model. This work demonstrates the utility of the coupled continuum pipe-flow method and illustrates how karst aquifer model parameterization is dependent on the physical processes that are simulated.","language":"English","publisher":"Springer","doi":"10.1007/s10040-013-1036-6","usgsCitation":"Saller, S.P., Ronayne, M.J., and Long, A.J., 2013, Comparison of a karst groundwater model with and without discrete conduit flow: Hydrogeology Journal, v. 21, no. 7, p. 1555-1566, https://doi.org/10.1007/s10040-013-1036-6.","productDescription":"12 p.","startPage":"1555","endPage":"1566","ipdsId":"IP-042678","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":278287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"Madison Aquifer","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.06,42.48 ], [ -104.06,45.95 ], [ -101.86,45.95 ], [ -101.86,42.48 ], [ -104.06,42.48 ] ] ] } } ] }","volume":"21","issue":"7","noUsgsAuthors":false,"publicationDate":"2013-09-06","publicationStatus":"PW","scienceBaseUri":"52624a53e4b079a99629a0d3","contributors":{"authors":[{"text":"Saller, Stephen P.","contributorId":60118,"corporation":false,"usgs":true,"family":"Saller","given":"Stephen","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":484911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ronayne, Michael J.","contributorId":101556,"corporation":false,"usgs":true,"family":"Ronayne","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":484912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Long, Andrew J. 0000-0001-7385-8081 ajlong@usgs.gov","orcid":"https://orcid.org/0000-0001-7385-8081","contributorId":989,"corporation":false,"usgs":true,"family":"Long","given":"Andrew","email":"ajlong@usgs.gov","middleInitial":"J.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484910,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70048537,"text":"fs20133097 - 2013 - The 3D Elevation Program: summary for Texas","interactions":[],"lastModifiedDate":"2016-08-17T16:03:57","indexId":"fs20133097","displayToPublicDate":"2013-10-18T15:06:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3097","title":"The 3D Elevation Program: summary for Texas","docAbstract":"

Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of Texas, elevation data are critical for natural resources conservation; wildfire management, planning, and response; flood risk management; agriculture and precision farming; infrastructure and construction management; water supply and quality; and other business uses. Today, high-quality light detection and ranging (lidar) data are the source for creating elevation models and other elevation datasets. Federal, State, and local agencies work in partnership to (1) replace data, on a national basis, that are (on average) 30 years old and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data. The new 3D Elevation Program (3DEP) initiative, managed by the U.S. Geological Survey (USGS), responds to the growing need for high-quality topographic data and a wide range of other three-dimensional representations of the Nation’s natural and constructed features.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133097","usgsCitation":"Carswell, W., 2013, The 3D Elevation Program: summary for Texas: U.S. Geological Survey Fact Sheet 2013-3097, 2 p., https://doi.org/10.3133/fs20133097.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":278281,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133097.gif"},{"id":278279,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3097/"},{"id":278280,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3097/pdf/fs2013-3097.pdf","text":"Report","size":"283 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United 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Jr. carswell@usgs.gov","contributorId":1787,"corporation":false,"usgs":true,"family":"Carswell","given":"William J.","suffix":"Jr.","email":"carswell@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":485000,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70048515,"text":"70048515 - 2013 - Understanding water column and streambed thermal refugia for endangered mussels in the Delaware River","interactions":[],"lastModifiedDate":"2013-10-18T13:38:07","indexId":"70048515","displayToPublicDate":"2013-10-18T13:33:46","publicationYear":"2013","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":"Understanding water column and streambed thermal refugia for endangered mussels in the Delaware River","docAbstract":"Groundwater discharge locations along the upper Delaware River, both discrete bank seeps and diffuse streambed upwelling, may create thermal niche environments that benefit the endangered dwarf wedgemussel (Alasmidonta heterodon). We seek to identify whether discrete or diffuse groundwater inflow is the dominant control on refugia. Numerous springs and seeps were identified at all locations where dwarf wedgemussels still can be found. Infrared imagery and custom high spatial resolution fiber-optic distributed temperature sensors reveal complex thermal dynamics at one of the seeps with a relatively stable, cold groundwater plume extending along the streambed/water-column interface during mid-summer. This plume, primarily fed by a discrete bank seep, was shown through analytical and numerical heat-transport modeling to dominate temperature dynamics in the region of potential habitation by the adult dwarf wedgemussel.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Chemical Society","doi":"10.1021/es4018893","usgsCitation":"Briggs, M., Voytek, E.B., Day-Lewis, F.D., Rosenberry, D.O., and Lane, J.W., 2013, Understanding water column and streambed thermal refugia for endangered mussels in the Delaware River: Environmental Science & Technology, v. 47, no. 20, p. 11423-11431, https://doi.org/10.1021/es4018893.","productDescription":"9 p.","startPage":"11423","endPage":"11431","ipdsId":"IP-050356","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"links":[{"id":278271,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278240,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es4018893"},{"id":278241,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.acs.org/doi/pdf/10.1021/es4018893"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Delaware River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.243,41.836 ], [ -75.243,41.876 ], [ -75.204,41.876 ], [ -75.204,41.836 ], [ -75.243,41.836 ] ] ] } } ] }","volume":"47","issue":"20","noUsgsAuthors":false,"publicationDate":"2013-09-25","publicationStatus":"PW","scienceBaseUri":"52624a6be4b079a99629a0f1","contributors":{"authors":[{"text":"Briggs, Martin A.","contributorId":10321,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin A.","affiliations":[],"preferred":false,"id":484909,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Voytek, Emily B. 0000-0003-0981-453X ebvoytek@usgs.gov","orcid":"https://orcid.org/0000-0003-0981-453X","contributorId":3575,"corporation":false,"usgs":true,"family":"Voytek","given":"Emily","email":"ebvoytek@usgs.gov","middleInitial":"B.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":484908,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":484906,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","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}],"preferred":true,"id":484905,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lane, John W. Jr. jwlane@usgs.gov","contributorId":1738,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":false,"id":484907,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70048509,"text":"ofr20131248 - 2013 - Emergency assessment of post-fire debris-flow hazards for the 2013 Powerhouse fire, southern California","interactions":[],"lastModifiedDate":"2013-11-14T17:58:46","indexId":"ofr20131248","displayToPublicDate":"2013-10-18T12:36:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1248","title":"Emergency assessment of post-fire debris-flow hazards for the 2013 Powerhouse fire, southern California","docAbstract":"Wildfire dramatically alters the hydrologic response of a watershed such that even modest rainstorms can produce dangerous flash floods and debris flows. Existing empirical models were used to predict the probability and magnitude of debris-flow occurrence in response to a 10-year recurrence interval rainstorm for the 2013 Powerhouse fire near Lancaster, California. Overall, the models predict a relatively low probability for debris-flow occurrence in response to the design storm. However, volumetric predictions suggest that debris flows that occur may entrain a significant volume of material, with 44 of the 73 basins identified as having potential debris-flow volumes between 10,000 and 100,000 cubic meters. These results suggest that even though the likelihood of debris flow is relatively low, the consequences of post-fire debris-flow initiation within the burn area may be significant for downstream populations, infrastructure, and wildlife and water resources. Given these findings, we recommend that residents, emergency managers, and public works departments pay close attention to weather forecasts and National-Weather-Service-issued Debris Flow and Flash Flood Outlooks, Watches, and Warnings and that residents adhere to any evacuation orders.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131248","usgsCitation":"Staley, D.M., Smoczyk, G.M., and Reeves, R.R., 2013, Emergency assessment of post-fire debris-flow hazards for the 2013 Powerhouse fire, southern California: U.S. Geological Survey Open-File Report 2013-1248, Report: iv, 13 p.; 3 Plates: 22.09 x 30.38 inches or smaller, https://doi.org/10.3133/ofr20131248.","productDescription":"Report: iv, 13 p.; 3 Plates: 22.09 x 30.38 inches or smaller","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-051194","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":278265,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131248.gif"},{"id":278238,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1248/"},{"id":278260,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1248/pdf/OFR13-1248_plate2.pdf"},{"id":278261,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1248/pdf/OFR13-1248_plate3.pdf"},{"id":278258,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1248/pdf/OFR13-1248.pdf"},{"id":278259,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1248/pdf/OFR13-1248_plate1.pdf"}],"projection":"Universal Transverse Mercator","datum":"North American Datum of 1983","country":"United States","state":"California","city":"Lancaster","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.574753,34.574288 ], [ -118.574753,34.769961 ], [ -118.346786,34.769961 ], [ -118.346786,34.574288 ], [ -118.574753,34.574288 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52624a66e4b079a99629a0dc","contributors":{"authors":[{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":484884,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smoczyk, Gregory M. 0000-0002-6591-4060 gsmoczyk@usgs.gov","orcid":"https://orcid.org/0000-0002-6591-4060","contributorId":5239,"corporation":false,"usgs":true,"family":"Smoczyk","given":"Gregory","email":"gsmoczyk@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":484886,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reeves, Ryan R. rreeves@usgs.gov","contributorId":4993,"corporation":false,"usgs":true,"family":"Reeves","given":"Ryan","email":"rreeves@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":484885,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70048510,"text":"ofr20131249 - 2013 - Emergency assessment of post-fire debris-flow hazards for the 2013 Mountain fire, southern California","interactions":[],"lastModifiedDate":"2013-11-14T18:11:32","indexId":"ofr20131249","displayToPublicDate":"2013-10-18T12:32:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1249","title":"Emergency assessment of post-fire debris-flow hazards for the 2013 Mountain fire, southern California","docAbstract":"Wildfire dramatically alters the hydrologic response of a watershed such that even modest rainstorms can produce dangerous flash floods and debris flows. We use empirical models to predict the probability and magnitude of debris flow occurrence in response to a 10-year rainstorm for the 2013 Mountain fire near Palm Springs, California. Overall, the models predict a relatively high probability (60–100 percent) of debris flow for six of the drainage basins in the burn area in response to a 10-year recurrence interval design storm. Volumetric predictions suggest that debris flows that occur may entrain a significant volume of material, with 8 of the 14 basins identified as having potential debris-flow volumes greater than 100,000 cubic meters. These results suggest there is a high likelihood of significant debris-flow hazard within and downstream of the burn area for nearby populations, infrastructure, and wildlife and water resources. Given these findings, we recommend that residents, emergency managers, and public works departments pay close attention to weather forecasts and National Weather Service–issued Debris Flow and Flash Flood Outlooks, Watches and Warnings and that residents adhere to any evacuation orders.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131249","usgsCitation":"Staley, D.M., Gartner, J.E., Smoczyk, G., and Reeves, R.R., 2013, Emergency assessment of post-fire debris-flow hazards for the 2013 Mountain fire, southern California: U.S. Geological Survey Open-File Report 2013-1249, Report: iv, 13 p.; 3 Plates: 22.09 x 30.96 inches or smaller, https://doi.org/10.3133/ofr20131249.","productDescription":"Report: iv, 13 p.; 3 Plates: 22.09 x 30.96 inches or smaller","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-051179","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":278239,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1249/"},{"id":278256,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1249/pdf/OFR13-1249_plate3.pdf"},{"id":278257,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131249.gif"},{"id":278254,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1249/pdf/OFR13-1249_plate1.pdf"},{"id":278255,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1249/pdf/OFR13-1249_plate2.pdf"}],"country":"United States","state":"California","city":"Palm Springs","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.75,33.6 ], [ -116.75,33.883 ], [ -116.5,33.883 ], [ -116.5,33.6 ], [ -116.75,33.6 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52624a65e4b079a99629a0d9","contributors":{"authors":[{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":484888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gartner, Joseph E. jegartner@usgs.gov","contributorId":1876,"corporation":false,"usgs":true,"family":"Gartner","given":"Joseph","email":"jegartner@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":484887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smoczyk, Greg M.","contributorId":23059,"corporation":false,"usgs":true,"family":"Smoczyk","given":"Greg M.","affiliations":[],"preferred":false,"id":484890,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reeves, Ryan R. rreeves@usgs.gov","contributorId":4993,"corporation":false,"usgs":true,"family":"Reeves","given":"Ryan","email":"rreeves@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":484889,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70073513,"text":"70073513 - 2013 - Composition and origin of rhyolite melt intersected by drilling in the Krafla geothermal field, Iceland","interactions":[],"lastModifiedDate":"2014-01-21T10:33:11","indexId":"70073513","displayToPublicDate":"2013-10-15T10:20:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1336,"text":"Contributions to Mineralogy and Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Composition and origin of rhyolite melt intersected by drilling in the Krafla geothermal field, Iceland","docAbstract":"The Iceland Deep Drilling Project Well 1 was designed as a 4- to 5-km-deep exploration well with the goal of intercepting supercritical hydrothermal fluids in the Krafla geothermal field, Iceland. The well unexpectedly drilled into a high-silica (76.5 % SiO2) rhyolite melt at approximately 2.1 km. Some of the melt vesiculated while extruding into the drill hole, but most of the recovered cuttings are quenched sparsely phyric, vesicle-poor glass. The phenocryst assemblage is comprised of titanomagnetite, plagioclase, augite, and pigeonite. Compositional zoning in plagioclase and exsolution lamellae in augite and pigeonite record changing crystallization conditions as the melt migrated to its present depth of emplacement. The in situ temperature of the melt is estimated to be between 850 and 920 °C based on two-pyroxene geothermometry and modeling of the crystallization sequence. Volatile content of the glass indicated partial degassing at an in situ pressure that is above hydrostatic (~16 MPa) and below lithostatic (~55 MPa). The major element and minor element composition of the melt are consistent with an origin by partial melting of hydrothermally altered basaltic crust at depth, similar to rhyolite erupted within the Krafla Caldera. Chondrite-normalized REE concentrations show strong light REE enrichment and relative flat patterns with negative Eu anomaly. Strontium isotope values (0.70328) are consistent with mantle-derived melt, but oxygen and hydrogen isotope values are depleted (3.1 and −118 ‰, respectively) relative to mantle values. The hydrogen isotope values overlap those of hydrothermal epidote from rocks altered by the meteoric-water-recharged Krafla geothermal system. The rhyolite melt was emplaced into and has reacted with a felsic intrusive suite that has nearly identical composition. The felsite is composed of quartz, alkali feldspar, plagioclase, titanomagnetite, and augite. Emplacement of the rhyolite magma has resulted in partial melting of the felsite, accompanied locally by partial assimilation. The interstitial melt in the felsite has similar normalized SiO2 content as the rhyolite melt but is distinguished by higher K2O and lower CaO and plots near the minimum melt composition in the granite system. Augite in the partially melted felsite has re-equilibrated to more calcic metamorphic compositions. Rare quenched glass fragments containing glomeroporphyritic crystals derived from the felsite show textural evidence for resorption of alkali feldspar and quartz. The glass in these fragments is enriched in SiO2 relative to the rhyolite melt or the interstitial felsite melt, consistent with the textural evidence for quartz dissolution. The quenching of these melts by drilling fluids at in situ conditions preserves details of the melt–wall rock interaction that would not be readily observed in rocks that had completely crystallized. However, these processes may be recognizable by a combination of textural analysis and in situ analytical techniques that document compositional heterogeneity due to partial melting and local assimilation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Contributions to Mineralogy and Petrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00410-012-0811-z","usgsCitation":"Zierenberg, R., Schiffmant, P., Barfod, G., Lesher, C., Marks, N., Lowenstern, J.B., Mortensen, A., Pope, E., Bird, D., Reed, M., Fridleifsson, G., and Elders, W., 2013, Composition and origin of rhyolite melt intersected by drilling in the Krafla geothermal field, Iceland: Contributions to Mineralogy and Petrology, v. 165, no. 2, p. 327-347, https://doi.org/10.1007/s00410-012-0811-z.","productDescription":"21 p.","startPage":"327","endPage":"347","numberOfPages":"21","ipdsId":"IP-041015","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":281311,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281310,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00410-012-0811-z"}],"country":"Iceland","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -16.857456,65.723445 ], [ -16.857456,65.752183 ], [ -16.807488,65.752183 ], [ -16.807488,65.723445 ], [ -16.857456,65.723445 ] ] ] } } ] }","volume":"165","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-09-22","publicationStatus":"PW","scienceBaseUri":"53cd5243e4b0b290850f46dc","contributors":{"authors":[{"text":"Zierenberg, R.A.","contributorId":8998,"corporation":false,"usgs":true,"family":"Zierenberg","given":"R.A.","email":"","affiliations":[],"preferred":false,"id":488866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schiffmant, Peter","contributorId":51016,"corporation":false,"usgs":true,"family":"Schiffmant","given":"Peter","affiliations":[],"preferred":false,"id":488873,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barfod, G.H.","contributorId":93380,"corporation":false,"usgs":true,"family":"Barfod","given":"G.H.","email":"","affiliations":[],"preferred":false,"id":488875,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lesher, C.E.","contributorId":28217,"corporation":false,"usgs":true,"family":"Lesher","given":"C.E.","email":"","affiliations":[],"preferred":false,"id":488870,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marks, N.E.","contributorId":48410,"corporation":false,"usgs":true,"family":"Marks","given":"N.E.","email":"","affiliations":[],"preferred":false,"id":488872,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":488865,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mortensen, A.K.","contributorId":107526,"corporation":false,"usgs":true,"family":"Mortensen","given":"A.K.","email":"","affiliations":[],"preferred":false,"id":488876,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pope, E.C.","contributorId":30478,"corporation":false,"usgs":true,"family":"Pope","given":"E.C.","email":"","affiliations":[],"preferred":false,"id":488871,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bird, D.K.","contributorId":24934,"corporation":false,"usgs":true,"family":"Bird","given":"D.K.","email":"","affiliations":[],"preferred":false,"id":488869,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Reed, M.H.","contributorId":91606,"corporation":false,"usgs":true,"family":"Reed","given":"M.H.","email":"","affiliations":[],"preferred":false,"id":488874,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Fridleifsson, G.O.","contributorId":17911,"corporation":false,"usgs":true,"family":"Fridleifsson","given":"G.O.","email":"","affiliations":[],"preferred":false,"id":488867,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Elders, W.A.","contributorId":18110,"corporation":false,"usgs":true,"family":"Elders","given":"W.A.","email":"","affiliations":[],"preferred":false,"id":488868,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70073512,"text":"70073512 - 2013 - Bayes and empirical Bayes estimators of abundance and density from spatial capture-recapture data","interactions":[],"lastModifiedDate":"2014-01-21T09:22:44","indexId":"70073512","displayToPublicDate":"2013-10-15T09:16:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Bayes and empirical Bayes estimators of abundance and density from spatial capture-recapture data","docAbstract":"In capture-recapture and mark-resight surveys, movements of individuals both within and between sampling periods can alter the susceptibility of individuals to detection over the region of sampling. In these circumstances spatially explicit capture-recapture (SECR) models, which incorporate the observed locations of individuals, allow population density and abundance to be estimated while accounting for differences in detectability of individuals. In this paper I propose two Bayesian SECR models, one for the analysis of recaptures observed in trapping arrays and another for the analysis of recaptures observed in area searches. In formulating these models I used distinct submodels to specify the distribution of individual home-range centers and the observable recaptures associated with these individuals. This separation of ecological and observational processes allowed me to derive a formal connection between Bayes and empirical Bayes estimators of population abundance that has not been established previously. I showed that this connection applies to every Poisson point-process model of SECR data and provides theoretical support for a previously proposed estimator of abundance based on recaptures in trapping arrays. To illustrate results of both classical and Bayesian methods of analysis, I compared Bayes and empirical Bayes esimates of abundance and density using recaptures from simulated and real populations of animals. Real populations included two iconic datasets: recaptures of tigers detected in camera-trap surveys and recaptures of lizards detected in area-search surveys. In the datasets I analyzed, classical and Bayesian methods provided similar – and often identical – inferences, which is not surprising given the sample sizes and the noninformative priors used in the analyses.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"PLoS ONE","doi":"10.1371/journal.pone.0084017","usgsCitation":"Dorazio, R.M., 2013, Bayes and empirical Bayes estimators of abundance and density from spatial capture-recapture data: PLoS ONE, v. 8, no. 12, 12 p., https://doi.org/10.1371/journal.pone.0084017.","productDescription":"12 p.","ipdsId":"IP-044554","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":473484,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0084017","text":"Publisher Index Page"},{"id":281302,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281301,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0084017"}],"volume":"8","issue":"12","noUsgsAuthors":false,"publicationDate":"2013-12-27","publicationStatus":"PW","scienceBaseUri":"53cd4efae4b0b290850f26cb","contributors":{"authors":[{"text":"Dorazio, Robert M. 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":1668,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","middleInitial":"M.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":488864,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70168378,"text":"70168378 - 2013 - Inferring the relative resilience of alternative states","interactions":[],"lastModifiedDate":"2016-02-15T16:33:15","indexId":"70168378","displayToPublicDate":"2013-10-11T17:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Inferring the relative resilience of alternative states","docAbstract":"

Ecological systems may occur in alternative states that differ in ecological structures, functions and processes. Resilience is the measure of disturbance an ecological system can absorb before changing states. However, how the intrinsic structures and processes of systems that characterize their states affects their resilience remains unclear. We analyzed time series of phytoplankton communities at three sites in a floodplain in central Spain to assess the dominant frequencies or “temporal scales” in community dynamics and compared the patterns between a wet and a dry alternative state. The identified frequencies and cross-scale structures are expected to arise from positive feedbacks that are thought to reinforce processes in alternative states of ecological systems and regulate emergent phenomena such as resilience. Our analyses show a higher species richness and diversity but lower evenness in the dry state. Time series modeling revealed a decrease in the importance of short-term variability in the communities, suggesting that community dynamics slowed down in the dry relative to the wet state. The number of temporal scales at which community dynamics manifested, and the explanatory power of time series models, was lower in the dry state. The higher diversity, reduced number of temporal scales and the lower explanatory power of time series models suggest that species dynamics tended to be more stochastic in the dry state. From a resilience perspective our results highlight a paradox: increasing species richness may not necessarily enhance resilience. The loss of cross-scale structure (i.e. the lower number of temporal scales) in community dynamics across sites suggests that resilience erodes during drought. Phytoplankton communities in the dry state are therefore likely less resilient than in the wet state. Our case study demonstrates the potential of time series modeling to assess attributes that mediate resilience. The approach is useful for assessing resilience of alternative states across ecological and other complex systems.

","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS One","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco","doi":"10.1371/journal.pone.0077338","usgsCitation":"Angeler, D., Allen, C.R., Rojo, C., Alvarez-Cobelas, M., Rodrigo, M.A., and Sanchez-Carrillo, S., 2013, Inferring the relative resilience of alternative states: PLoS ONE, v. 8, no. 10, e77338, https://doi.org/10.1371/journal.pone.0077338.","productDescription":"e77338","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051609","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":473486,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0077338","text":"Publisher Index Page"},{"id":318032,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Spain","otherGeospatial":"Las Tablas de Daimiel floodplain wetland","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -3.2299804687499996,\n 41.73852846935917\n ],\n [\n -1.69189453125,\n 41.77131167976407\n ],\n [\n -1.2744140625,\n 41.36031866306708\n ],\n [\n -1.2744140625,\n 40.78054143186031\n ],\n [\n -2.04345703125,\n 40.094882122321174\n ],\n [\n -3.40576171875,\n 39.65645604812829\n ],\n [\n -4.5263671875,\n 39.06184913429154\n ],\n [\n -6.08642578125,\n 38.87392853923629\n ],\n [\n -7.250976562499999,\n 39.436192999314095\n ],\n [\n -6.6357421875,\n 40.329795743702064\n ],\n [\n -6.08642578125,\n 40.81380923056958\n ],\n [\n -4.482421875,\n 41.343824581185686\n ],\n [\n -3.2299804687499996,\n 41.73852846935917\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2013-10-11","publicationStatus":"PW","scienceBaseUri":"56c304c7e4b0946c652087a4","contributors":{"authors":[{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":620281,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":619837,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rojo, Carmen","contributorId":166885,"corporation":false,"usgs":false,"family":"Rojo","given":"Carmen","email":"","affiliations":[],"preferred":false,"id":620282,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alvarez-Cobelas, Miguel","contributorId":166886,"corporation":false,"usgs":false,"family":"Alvarez-Cobelas","given":"Miguel","email":"","affiliations":[],"preferred":false,"id":620283,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rodrigo, Maria A.","contributorId":166887,"corporation":false,"usgs":false,"family":"Rodrigo","given":"Maria","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":620284,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sanchez-Carrillo, Salvador","contributorId":166888,"corporation":false,"usgs":false,"family":"Sanchez-Carrillo","given":"Salvador","email":"","affiliations":[],"preferred":false,"id":620285,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70048761,"text":"70048761 - 2013 - A model of strength","interactions":[],"lastModifiedDate":"2014-05-30T14:43:23","indexId":"70048761","displayToPublicDate":"2013-10-11T07:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"A model of strength","docAbstract":"In her AAAS News & Notes piece \"Can the Southwest manage its thirst?\" (26 July, p. 362), K. Wren quotes Ajay Kalra, who advocates a particular method for predicting Colorado River streamflow \"because it eschews complex physical climate models for a statistical data-driven modeling approach.\" A preference for data-driven models may be appropriate in this individual situation, but it is not so generally, Data-driven models often come with a warning against extrapolating beyond the range of the data used to develop the models. When the future is like the past, data-driven models can work well for prediction, but it is easy to over-model local or transient phenomena, often leading to predictive inaccuracy (1). Mechanistic models are built on established knowledge of the process that connects the response variables with the predictors, using information obtained outside of an extant data set. One may shy away from a mechanistic approach when the underlying process is judged to be too complicated, but good predictive models can be constructed with statistical components that account for ingredients missing in the mechanistic analysis. Models with sound mechanistic components are more generally applicable and robust than data-driven models.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Science","doi":"10.1126/science.342.6155.192","usgsCitation":"Johnson, D.H., and Cook, R., 2013, A model of strength: Science, v. 342, p. 192-193, https://doi.org/10.1126/science.342.6155.192.","productDescription":"2 p.","startPage":"192","endPage":"193","numberOfPages":"2","ipdsId":"IP-051404","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":285051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":285050,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1126/science.342.6155.192"}],"volume":"342","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53558fc0e4b0120853e8be06","contributors":{"authors":[{"text":"Johnson, Douglas H. 0000-0002-7778-6641 douglas_h_johnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":1387,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas","email":"douglas_h_johnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":485583,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cook, R.D.","contributorId":6371,"corporation":false,"usgs":true,"family":"Cook","given":"R.D.","email":"","affiliations":[],"preferred":false,"id":485584,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70186187,"text":"70186187 - 2013 - Phylogenetic conservatism in plant phenology","interactions":[],"lastModifiedDate":"2017-03-31T10:18:38","indexId":"70186187","displayToPublicDate":"2013-10-08T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Phylogenetic conservatism in plant phenology","docAbstract":"Phenological events – defined points in the life cycle of a plant or animal – have been regarded as highly plastic traits, reflecting flexible responses to various environmental cues.\nThe ability of a species to track, via shifts in phenological events, the abiotic environment through time might dictate its vulnerability to future climate change. Understanding the predictors and drivers of phenological change is therefore critical. \nHere, we evaluated evidence for phylogenetic conservatism – the tendency for closely related spe-cies to share similar ecological and biological attributes – in phenological traits across flowering plants. We aggregated published and unpublished data on timing of first flower and first leaf, encompassing ~4000 species at 23 sites across the Northern Hemisphere. We reconstructed the phylogeny for the setof included species, first, using the software program Phylomatic, and second, from DNA data. We then quantified phylogenetic conservatism in plant phenology within and across sites.\nWe show that more closely related species tend to flower and leaf at similar times. By contrastingmean flowering times within and across sites, however, we illustrate that it is not the time of yearthat is conserved, but rather the phenological responses to a common set of abiotic cues.\nOur findings suggest that species cannot be treated as statistically independent when modelling phenological responses.\nSynthesis. Closely related species tend to resemble each other in the timing of their life-history events, a likely product of evolutionarily conser ved responses to environmental cues. The search for the underlying drivers of phenology must therefore account for species’ shared evolutionary histories.","language":"English","publisher":"Wiley","doi":"10.1111/1365-2745.12154","usgsCitation":"Davies, T.J., Wolkovich, E.M., Kraft, N.J., Salamin, N., Allen, J.M., Ault, T.R., Betancourt, J.L., Bolmgren, K., Cleland, E.E., Cook, B.I., Crimmins, T.M., Mazer, S.J., McCabe, G., Pau, S., Regetz, J., Schwartz, M.D., and Travers, S.E., 2013, Phylogenetic conservatism in plant phenology: Journal of Ecology, v. 101, no. 6, p. 1520-1530, https://doi.org/10.1111/1365-2745.12154.","productDescription":"11 p.","startPage":"1520","endPage":"1530","ipdsId":"IP-049157","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":473490,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/1365-2745.12154","text":"External Repository"},{"id":338920,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":338878,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1111/1365-2745.12154/full"}],"volume":"101","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-10-08","publicationStatus":"PW","scienceBaseUri":"58df6ac7e4b02ff32c6aea69","contributors":{"authors":[{"text":"Davies, T. Jonathan","contributorId":190201,"corporation":false,"usgs":false,"family":"Davies","given":"T.","email":"","middleInitial":"Jonathan","affiliations":[],"preferred":false,"id":687797,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolkovich, Elizabeth M.","contributorId":190202,"corporation":false,"usgs":false,"family":"Wolkovich","given":"Elizabeth","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":687798,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kraft, Nathan J. B.","contributorId":190203,"corporation":false,"usgs":false,"family":"Kraft","given":"Nathan","email":"","middleInitial":"J. B.","affiliations":[],"preferred":false,"id":687799,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Salamin, Nicolas","contributorId":146424,"corporation":false,"usgs":false,"family":"Salamin","given":"Nicolas","email":"","affiliations":[],"preferred":false,"id":687800,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allen, Jenica M.","contributorId":146420,"corporation":false,"usgs":false,"family":"Allen","given":"Jenica","email":"","middleInitial":"M.","affiliations":[{"id":13006,"text":"Department of Ecology and Evolutionary Biology, University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":687801,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ault, Toby R.","contributorId":146164,"corporation":false,"usgs":false,"family":"Ault","given":"Toby","email":"","middleInitial":"R.","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":687802,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":687796,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bolmgren, Kjell","contributorId":190204,"corporation":false,"usgs":false,"family":"Bolmgren","given":"Kjell","email":"","affiliations":[],"preferred":false,"id":687803,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cleland, Elsa E.","contributorId":190205,"corporation":false,"usgs":false,"family":"Cleland","given":"Elsa","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":687804,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cook, Benjamin I.","contributorId":190206,"corporation":false,"usgs":false,"family":"Cook","given":"Benjamin","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":687805,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Crimmins, Theresa M.","contributorId":178236,"corporation":false,"usgs":false,"family":"Crimmins","given":"Theresa","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":687806,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mazer, Susan J.","contributorId":190207,"corporation":false,"usgs":false,"family":"Mazer","given":"Susan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":687807,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":167116,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory J.","email":"gmccabe@usgs.gov","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":false,"id":687808,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Pau, Stephanie","contributorId":190208,"corporation":false,"usgs":false,"family":"Pau","given":"Stephanie","email":"","affiliations":[],"preferred":false,"id":687809,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Regetz, Jim","contributorId":190209,"corporation":false,"usgs":false,"family":"Regetz","given":"Jim","affiliations":[],"preferred":false,"id":687810,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Schwartz, Mark D.","contributorId":175228,"corporation":false,"usgs":false,"family":"Schwartz","given":"Mark","email":"","middleInitial":"D.","affiliations":[{"id":18038,"text":"University of Wisconsin, Milwaukee","active":true,"usgs":false}],"preferred":false,"id":687811,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Travers, Steven E.","contributorId":146419,"corporation":false,"usgs":false,"family":"Travers","given":"Steven","email":"","middleInitial":"E.","affiliations":[{"id":16604,"text":"Department of Biological Sciences, North Dakota State University, Fargo, ND","active":true,"usgs":false}],"preferred":false,"id":687812,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70148189,"text":"70148189 - 2013 - Network modularity reveals critical scales for connectivity in ecology and evolution","interactions":[],"lastModifiedDate":"2015-05-26T09:58:34","indexId":"70148189","displayToPublicDate":"2013-10-07T11:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Network modularity reveals critical scales for connectivity in ecology and evolution","docAbstract":"

For nearly a century, biologists have emphasized the profound importance of spatial scale for ecology, evolution and conservation. Nonetheless, objectively identifying critical scales has proven incredibly challenging. Here we extend new techniques from physics and social sciences that estimate modularity on networks to identify critical scales for movement and gene flow in animals. Using four species that vary widely in dispersal ability and include both mark-recapture and population genetic data, we identify significant modularity in three species, two of which cannot be explained by geographic distance alone. Importantly, the inclusion of modularity in connectivity and population viability assessments alters conclusions regarding patch importance to connectivity and suggests higher metapopulation viability than when ignoring this hidden spatial scale. We argue that network modularity reveals critical meso-scales that are probably common in populations, providing a powerful means of identifying fundamental scales for biology and for conservation strategies aimed at recovering imperilled species.

","language":"English","publisher":"Nature Publishing Group","publisherLocation":"London","doi":"10.1038/ncomms3572","usgsCitation":"Fletcher, R., Revell, A., Reichert, B.E., Kitchens, W.M., Dixon, J., and Austin, J.D., 2013, Network modularity reveals critical scales for connectivity in ecology and evolution: Nature Communications, v. 4, p. 1-7, https://doi.org/10.1038/ncomms3572.","productDescription":"7 p.","startPage":"1","endPage":"7","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046185","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":473491,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/ncomms3572","text":"Publisher Index Page"},{"id":300771,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-10-07","publicationStatus":"PW","scienceBaseUri":"5565994fe4b0d9246a9eb637","contributors":{"authors":[{"text":"Fletcher, Robert J.","contributorId":81785,"corporation":false,"usgs":true,"family":"Fletcher","given":"Robert J.","affiliations":[],"preferred":false,"id":547580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Revell, Andre","contributorId":140922,"corporation":false,"usgs":false,"family":"Revell","given":"Andre","email":"","affiliations":[],"preferred":false,"id":547581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reichert, Brian E. 0000-0002-9640-0695","orcid":"https://orcid.org/0000-0002-9640-0695","contributorId":22166,"corporation":false,"usgs":true,"family":"Reichert","given":"Brian","email":"","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":547582,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kitchens, Wiley M. kitchensw@usgs.gov","contributorId":2851,"corporation":false,"usgs":true,"family":"Kitchens","given":"Wiley","email":"kitchensw@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":547548,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dixon, J.","contributorId":98132,"corporation":false,"usgs":true,"family":"Dixon","given":"J.","affiliations":[],"preferred":false,"id":547583,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Austin, James D.","contributorId":57584,"corporation":false,"usgs":true,"family":"Austin","given":"James","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":547584,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70125430,"text":"70125430 - 2013 - Ability of matrix models to explain the past and predict the future of plant populations.","interactions":[],"lastModifiedDate":"2014-09-16T17:01:40","indexId":"70125430","displayToPublicDate":"2013-10-01T17:00:18","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Ability of matrix models to explain the past and predict the future of plant populations.","docAbstract":"Uncertainty associated with ecological forecasts has long been recognized, but forecast accuracy is rarely quantified. We evaluated how well data on 82 populations of 20 species of plants spanning 3 continents explained and predicted plant population dynamics. We parameterized stage-based matrix models with demographic data from individually marked plants and determined how well these models forecast population sizes observed at least 5 years into the future. Simple demographic models forecasted population dynamics poorly; only 40% of observed population sizes fell within our forecasts' 95% confidence limits. However, these models explained population dynamics during the years in which data were collected; observed changes in population size during the data-collection period were strongly positively correlated with population growth rate. Thus, these models are at least a sound way to quantify population status. Poor forecasts were not associated with the number of individual plants or years of data. We tested whether vital rates were density dependent and found both positive and negative density dependence. However, density dependence was not associated with forecast error. Forecast error was significantly associated with environmental differences between the data collection and forecast periods. To forecast population fates, more detailed models, such as those that project how environments are likely to change and how these changes will affect population dynamics, may be needed. Such detailed models are not always feasible. Thus, it may be wiser to make risk-averse decisions than to expect precise forecasts from models.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Conservation Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society for Conservation Biology","publisherLocation":"Malden, MA","doi":"10.1111/cobi.12049","usgsCitation":"McEachern, K., Crone, E.E., Ellis, M.M., Morris, W.F., Stanley, A., Bell, T., Bierzychudek, P., Ehrlen, J., Kaye, T.N., Knight, T.M., Lesica, P., Oostermeijer, G., Quintana-Ascencio, P.F., Ticktin, T., Valverde, T., Williams, J.I., Doak, D.F., Ganesan, R., Thorpe, A.S., and Menges, E.S., 2013, Ability of matrix models to explain the past and predict the future of plant populations.: Conservation Biology, v. 27, no. 5, p. 968-978, https://doi.org/10.1111/cobi.12049.","productDescription":"11 p.","startPage":"968","endPage":"978","numberOfPages":"11","ipdsId":"IP-031182","costCenters":[{"id":651,"text":"Western 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F.","contributorId":46811,"corporation":false,"usgs":true,"family":"Doak","given":"Daniel","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":501418,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Ganesan, Rengaian","contributorId":91346,"corporation":false,"usgs":true,"family":"Ganesan","given":"Rengaian","email":"","affiliations":[],"preferred":false,"id":501425,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Thorpe, Andrea S.","contributorId":23840,"corporation":false,"usgs":true,"family":"Thorpe","given":"Andrea","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":501415,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Menges, Eric S.","contributorId":94147,"corporation":false,"usgs":true,"family":"Menges","given":"Eric","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":501426,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}} ,{"id":70047104,"text":"70047104 - 2013 - Effects of dreissenids on monitoring and management of fisheries in western Lake Erie","interactions":[],"lastModifiedDate":"2014-02-05T15:39:57","indexId":"70047104","displayToPublicDate":"2013-10-01T15:39:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Effects of dreissenids on monitoring and management of fisheries in western Lake Erie","docAbstract":"Water clarity increased in nearshore areas of western Lake Erie by the early-1990s mainly as a result of the filtering activities of dreissenid mussels (Dreissena spp.), which invaded in the mid-1980s. We hypothesized that increased water clarity would result in greater trawl avoidance and thus reduced ability to capture fish in bottom trawls during daytime compared to nighttime. We examined this hypothesis by summarizing three analyses on fish data collected in western Lake Erie. First, we used a two-tiered modeling approach on the ration (R) of catch per hour (CPH) of age-0 yellow perch (Perca flavencens Mitchell) at night to CPH during daytime in 1961-2005. The best a priori and a posteriori models indicated a shift to higher CPH at night (R > 1) between 1990 and 1991, which corresponded to 3 years after the dreissenid invasion and when water clarity noticeably increased at nearshore sites. Secondly, we examined effects of nighttime sampling on estimates of abundance of age-2 and older yellow perch, which form the basis for recommended allowable harvest (RAH). When data from night sampling were included in models that predict abundance of age-2 yellow perch from indices of abundance of age-0 and age-1 yellow perch, predicted abundance was lower and model precision, as measured by r-squared, was higher compared to models that excluded data collected at night. Furthermore, the use of only CPH data collected at night typically resulted in lower estimates of abundance and more precise models compared to models that included CPH data collected during both daytime and nighttime. Thirdly, we used presence/absence data from paired bottom trawl samples to calculate an index of capture probability (or catchability) to determine if our ability to capture the four most common benthic species in western Lake Erie was affected by dreissenid-caused increased water clarity. Three species of fish(white perch, Morone americana Gmelin; yellow perch; and trout-perch, Percopsis omiscomaycus Walbaum) had lower mean daytime catchability than nighttime catchability after dreissenids became established, which supported the hypothesis of greater trawl avoidance during daytime following establishment of dreissenids. Results from freshwater drum (Aplodinotus grunniens Rafinesque) were opposite those of the other three species, which may be a result of behavioral shifts due to freshwater drum feeding on dreissenids mussels. Collectively, these three studies suggest that dreissenids indirectly affected our ability to assess fish populations, which further affects estimates of fish densities and relationships between indices of abundance and true abundance.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Quagga and zebra mussels: biology, impacts, and control","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"CRC Press","publisherLocation":"Hoboken, NJ","isbn":"9781439854372","usgsCitation":"Stapanian, M.A., and Kocovsky, P., 2013, Effects of dreissenids on monitoring and management of fisheries in western Lake Erie, chap. of Quagga and zebra mussels: biology, impacts, and control, p. 681-692.","productDescription":"12 p.","startPage":"681","endPage":"692","numberOfPages":"12","ipdsId":"IP-027862","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":282058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Erie","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.4797,41.3815 ], [ -83.4797,42.6773 ], [ -81.0731,42.6773 ], [ -81.0731,41.3815 ], [ -83.4797,41.3815 ] ] ] } } ] }","edition":"2nd","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd56bbe4b0b290850f7190","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":481062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kocovsky, Patrick M.","contributorId":89381,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick M.","affiliations":[],"preferred":false,"id":481063,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70171524,"text":"70171524 - 2013 - How old is the Isthmus of Panama?","interactions":[],"lastModifiedDate":"2016-06-02T14:00:42","indexId":"70171524","displayToPublicDate":"2013-10-01T15:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1106,"text":"Bulletin of Marine Science","active":true,"publicationSubtype":{"id":10}},"title":"How old is the Isthmus of Panama?","docAbstract":"

The Standard Model of the formation of the Isthmus of Panama proposes that final closure occurred at 4–3 Ma. The model is based on evidence from studies of marine stratigraphy, fossil sequences, divergent molecular phylogenies, the timing of the Great American Biological Interchange (GABI), and proxies for marine paleosalinity, paleobathymetry, productivity, and paleotemperatures. The new model uses cooling of magmas in the Cretaceous to Early Miocene Central American Volcanic arc to propose Eocene emergence of the discrete structural blocks of the arc and then U/Pb dating, paleomagnetic pole rotations, and atlantic sea-floor anomalies to reconfigure the blocks for different time slices back to 25 Ma. Closure is proposed at 15 Ma, because by this time the alignment of the blocks leaves no space for trans-isthmian marine passages. We propose that the Indonesian Australian Archipelago (IAA) provides a model for the Central American arc between 15 and 3 Ma because it accounts for the extensive marine interchange between the Pacific and Indian oceans through few and narrow passages while maintaining a complete separation of the terrestrial faunas (Wallace and Lydekker lines) of the two continental platforms of Sunda and Sahul. Using the Indonesian Volcanic arc as a model, we can now accommodate the general tectonic configuration and much of the emergence of the new model, while accounting for the marine fossil record, the molecular evidence of rapid recent speciation, and the delayed Great American Biotic Interchange that the New Model fails to explain.

","language":"English","publisher":"Rosenstiel School of Marine and Atmospheric Science","publisherLocation":"Coral Gables, FL","doi":"10.5343/bms.2012.1076","usgsCitation":"Anthony G Coates, and Stallard, R.F., 2013, How old is the Isthmus of Panama?: Bulletin of Marine Science, v. 89, no. 4, p. 801-813, https://doi.org/10.5343/bms.2012.1076.","productDescription":"13","startPage":"801","endPage":"813","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041701","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":322108,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575158b5e4b053f0edd03c5c","contributors":{"authors":[{"text":"Anthony G Coates","contributorId":169951,"corporation":false,"usgs":false,"family":"Anthony G Coates","affiliations":[{"id":25639,"text":"AGC-STRI","active":true,"usgs":false}],"preferred":false,"id":631594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stallard, Robert F. 0000-0001-8209-7608 stallard@usgs.gov","orcid":"https://orcid.org/0000-0001-8209-7608","contributorId":1924,"corporation":false,"usgs":true,"family":"Stallard","given":"Robert","email":"stallard@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":631593,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70198337,"text":"70198337 - 2013 - Variability and trends in irrigated and non-irrigated croplands in the central U.S","interactions":[],"lastModifiedDate":"2018-12-07T14:36:21","indexId":"70198337","displayToPublicDate":"2013-10-01T14:52:11","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Variability and trends in irrigated and non-irrigated croplands in the central U.S","docAbstract":"

Over 23 million hectares (233 thousand km2) of U.S. croplands are irrigated and there was an overall net expansion of 522 thousand hectares nationally from 2002 to 2007. Most of this expansion occurred across the High Plains Aquifer (HPA) in the central Great Plains. Until recently, there has been a lack of geospatially-detailed irrigation data that are consistent, timely, geographically extensive, and periodic to support studies linking agricultural land use change to crop yields, aquifer water use, and other factors. We employed a modeling approach implemented at two time intervals (2002 and 2007) to map irrigated agriculture across the conterminous U.S. at a sub-county spatial detail (250 m2 spatial resolution). The model integrated U.S. Department of Agriculture (USDA) county statistics, satellite imagery, and a national land cover map. The geospatial model output, called the Moderate Resolution Imaging Spectroradiometer (MODIS) Irrigated Agriculture Dataset for the United States (MIrAD-US), was then used to depict detailed spatial patterns of irrigation change across the HPA from 2002 to 2007. Spatial changes in irrigation may result in shifts in local and regional climate, groundwater depletion, and higher crop yields and farm income. A closer investigation of irrigated corn across the HPA from 2000 to 2012 revealed even more variability through time, underscoring the need for more frequent periodic mapping of irrigated agriculture.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Information for sustainable agriculture, International Conference on Agro-Geoinformatics, 2nd, Fairfax, Va., 12–16 August 2013, Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Second International Conference on Agro-Geoinformatics","conferenceDate":"August 12-16, 2013","conferenceLocation":"Fairfax, VA","language":"English","publisher":"Institute of Electrical and Electronics Engineers (IEEE)","publisherLocation":"Piscataway, NJ","doi":"10.1109/Argo-Geoinformatics.2013.6621888","isbn":"978-1-4799-0868-4","usgsCitation":"Brown, J.F., and Pervez, M., 2013, Variability and trends in irrigated and non-irrigated croplands in the central U.S, in Information for sustainable agriculture, International Conference on Agro-Geoinformatics, 2nd, Fairfax, Va., 12–16 August 2013, Proceedings, Fairfax, VA, August 12-16, 2013, p. 102-105, https://doi.org/10.1109/Argo-Geoinformatics.2013.6621888.","productDescription":"4 p.","startPage":"102","endPage":"105","ipdsId":"IP-049069","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":359681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bfd1472e4b0815414ca390c","contributors":{"authors":[{"text":"Brown, Jesslyn F. 0000-0002-9976-1998 jfbrown@usgs.gov","orcid":"https://orcid.org/0000-0002-9976-1998","contributorId":176609,"corporation":false,"usgs":true,"family":"Brown","given":"Jesslyn","email":"jfbrown@usgs.gov","middleInitial":"F.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":741130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pervez, Md Shahriar 0000-0003-3417-1871 shahriar.pervez.ctr@usgs.gov","orcid":"https://orcid.org/0000-0003-3417-1871","contributorId":74230,"corporation":false,"usgs":true,"family":"Pervez","given":"Md Shahriar","email":"shahriar.pervez.ctr@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":741131,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70118095,"text":"70118095 - 2013 - The Hyper-Envelope Modeling Interface (HEMI): A Novel Approach Illustrated Through Predicting Tamarisk (Tamarix spp.) Habitat in the Western USA","interactions":[],"lastModifiedDate":"2014-07-25T14:56:42","indexId":"70118095","displayToPublicDate":"2013-10-01T14:46:44","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"The Hyper-Envelope Modeling Interface (HEMI): A Novel Approach Illustrated Through Predicting Tamarisk (Tamarix spp.) Habitat in the Western USA","docAbstract":"Habitat suitability maps are commonly created by modeling a species’ environmental niche from occurrences and environmental characteristics. Here, we introduce the hyper-envelope modeling interface (HEMI), providing a new method for creating habitat suitability models using Bezier surfaces to model a species niche in environmental space. HEMI allows modeled surfaces to be visualized and edited in environmental space based on expert knowledge and does not require absence points for model development. The modeled surfaces require relatively few parameters compared to similar modeling approaches and may produce models that better match ecological niche theory. As a case study, we modeled the invasive species tamarisk (Tamarix spp.) in the western USA. We compare results from HEMI with those from existing similar modeling approaches (including BioClim, BioMapper, and Maxent). We used synthetic surfaces to create visualizations of the various models in environmental space and used modified area under the curve (AUC) statistic and akaike information criterion (AIC) as measures of model performance. We show that HEMI produced slightly better AUC values, except for Maxent and better AIC values overall. HEMI created a model with only ten parameters while Maxent produced a model with over 100 and BioClim used only eight. Additionally, HEMI allowed visualization and editing of the model in environmental space to develop alternative potential habitat scenarios. The use of Bezier surfaces can provide simple models that match our expectations of biological niche models and, at least in some cases, out-perform more complex approaches.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer-Verlag","publisherLocation":"New York, NY","doi":"10.1007/s00267-013-0144-3","usgsCitation":"Graham, J., Young, N., Jarnevich, C.S., Newman, G., Evangelista, P., and Stohlgren, T.J., 2013, The Hyper-Envelope Modeling Interface (HEMI): A Novel Approach Illustrated Through Predicting Tamarisk (Tamarix spp.) Habitat in the Western USA: Environmental Management, v. 52, no. 4, p. 929-938, https://doi.org/10.1007/s00267-013-0144-3.","productDescription":"10 p.","startPage":"929","endPage":"938","numberOfPages":"10","costCenters":[],"links":[{"id":291030,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291029,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00267-013-0144-3"}],"volume":"52","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-08-20","publicationStatus":"PW","scienceBaseUri":"57f7f22ee4b0bc0bec0a0226","contributors":{"authors":[{"text":"Graham, Jim","contributorId":37608,"corporation":false,"usgs":true,"family":"Graham","given":"Jim","email":"","affiliations":[],"preferred":false,"id":496288,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, Nick","contributorId":28489,"corporation":false,"usgs":true,"family":"Young","given":"Nick","email":"","affiliations":[],"preferred":false,"id":496287,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":496285,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Newman, Greg","contributorId":22636,"corporation":false,"usgs":true,"family":"Newman","given":"Greg","affiliations":[],"preferred":false,"id":496286,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Evangelista, Paul","contributorId":46371,"corporation":false,"usgs":true,"family":"Evangelista","given":"Paul","affiliations":[],"preferred":false,"id":496289,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stohlgren, Thomas J. 0000-0001-9696-4450 stohlgrent@usgs.gov","orcid":"https://orcid.org/0000-0001-9696-4450","contributorId":2902,"corporation":false,"usgs":true,"family":"Stohlgren","given":"Thomas","email":"stohlgrent@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":496284,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70048208,"text":"70048208 - 2013 - Alternative ways of using field-based estimates to calibrate ecosystem models and their implications for carbon cycle studies","interactions":[],"lastModifiedDate":"2014-01-08T13:10:33","indexId":"70048208","displayToPublicDate":"2013-10-01T13:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Alternative ways of using field-based estimates to calibrate ecosystem models and their implications for carbon cycle studies","docAbstract":"Model-data fusion is a process in which field observations are used to constrain model parameters. How observations are used to constrain parameters has a direct impact on the carbon cycle dynamics simulated by ecosystem models. In this study, we present an evaluation of several options for the use of observations in modeling regional carbon dynamics and explore the implications of those options. We calibrated the Terrestrial Ecosystem Model on a hierarchy of three vegetation classification levels for the Alaskan boreal forest: species level, plant-functional-type level (PFT level), and biome level, and we examined the differences in simulated carbon dynamics. Species-specific field-based estimates were directly used to parameterize the model for species-level simulations, while weighted averages based on species percent cover were used to generate estimates for PFT- and biome-level model parameterization. We found that calibrated key ecosystem process parameters differed substantially among species and overlapped for species that are categorized into different PFTs. Our analysis of parameter sets suggests that the PFT-level parameterizations primarily reflected the dominant species and that functional information of some species were lost from the PFT-level parameterizations. The biome-level parameterization was primarily representative of the needleleaf PFT and lost information on broadleaf species or PFT function. Our results indicate that PFT-level simulations may be potentially representative of the performance of species-level simulations while biome-level simulations may result in biased estimates. Improved theoretical and empirical justifications for grouping species into PFTs or biomes are needed to adequately represent the dynamics of ecosystem functioning and structure.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research: Biogeosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jgrg.20080","usgsCitation":"He, Y., Zhuang, Q., McGuire, D., Liu, Y., and Chen, M., 2013, Alternative ways of using field-based estimates to calibrate ecosystem models and their implications for carbon cycle studies: Journal of Geophysical Research: Biogeosciences, v. 118, no. 3, p. 983-993, https://doi.org/10.1002/jgrg.20080.","productDescription":"11 p.","startPage":"983","endPage":"993","ipdsId":"IP-042199","costCenters":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":473498,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jgrg.20080","text":"Publisher Index Page"},{"id":280733,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280730,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrg.20080"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.45,51.21 ], [ 172.45,71.39 ], [ -129.99,71.39 ], [ -129.99,51.21 ], [ 172.45,51.21 ] ] ] } } ] }","volume":"118","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4c35e4b0b290850f0d6a","contributors":{"authors":[{"text":"He, Yujie","contributorId":32444,"corporation":false,"usgs":true,"family":"He","given":"Yujie","affiliations":[],"preferred":false,"id":483999,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhuang, Qianlai","contributorId":101975,"corporation":false,"usgs":true,"family":"Zhuang","given":"Qianlai","affiliations":[],"preferred":false,"id":484002,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, David","contributorId":37243,"corporation":false,"usgs":true,"family":"McGuire","given":"David","affiliations":[],"preferred":false,"id":484000,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Yaling","contributorId":103172,"corporation":false,"usgs":true,"family":"Liu","given":"Yaling","affiliations":[],"preferred":false,"id":484003,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chen, Min","contributorId":56140,"corporation":false,"usgs":true,"family":"Chen","given":"Min","email":"","affiliations":[],"preferred":false,"id":484001,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70045061,"text":"70045061 - 2013 - Vs30 and spectral response from collocated shallow, active- and passive-source Vs data at 27 sites in Puerto Rico","interactions":[],"lastModifiedDate":"2014-01-15T13:08:48","indexId":"70045061","displayToPublicDate":"2013-10-01T12:55:06","publicationYear":"2013","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":"Vs30 and spectral response from collocated shallow, active- and passive-source Vs data at 27 sites in Puerto Rico","docAbstract":"Shear‐wave velocity (VS) and time‐averaged shear‐wave velocity to 30 m depth (VS30) are the key parameters used in seismic site response modeling and earthquake engineering design. Where VS data are limited, available data are often used to develop and refine map‐based proxy models of VS30 for predicting ground‐motion intensities. In this paper, we present shallow VS data from 27 sites in Puerto Rico. These data were acquired using a multimethod acquisition approach consisting of noninvasive, collocated, active‐source body‐wave (refraction/reflection), active‐source surface wave at nine sites, and passive‐source surface‐wave refraction microtremor (ReMi) techniques. VS‐versus‐depth models are constructed and used to calculate spectral response plots for each site. Factors affecting method reliability are analyzed with respect to site‐specific differences in bedrock VS and spectral response. At many but not all sites, body‐ and surface‐wave methods generally determine similar depths to bedrock, and it is the difference in bedrock VS that influences site amplification. The predicted resonant frequencies for the majority of the sites are observed to be within a relatively narrow bandwidth of 1–3.5 Hz. For a first‐order comparison of peak frequency position, predictive spectral response plots from eight sites are plotted along with seismograph instrument spectra derived from the time series of the 16 May 2010 Puerto Rico earthquake. We show how a multimethod acquisition approach using collocated arrays compliments and corroborates VS results, thus adding confidence that reliable site characterization information has been obtained.","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","doi":"10.1785/0120120349","usgsCitation":"Odum, J.K., Stephenson, W.J., Williams, R., and von Hillebrandt-Andrade, C., 2013, Vs30 and spectral response from collocated shallow, active- and passive-source Vs data at 27 sites in Puerto Rico: Bulletin of the Seismological Society of America, v. 103, no. 5, p. 2709-2728, https://doi.org/10.1785/0120120349.","productDescription":"20 p.","startPage":"2709","endPage":"2728","numberOfPages":"20","ipdsId":"IP-044448","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":281099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281097,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120120349"}],"country":"Puerto Rico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.0,14.0 ], [ -74.0,22.0 ], [ -60.0,22.0 ], [ -60.0,14.0 ], [ -74.0,14.0 ] ] ] } } ] }","volume":"103","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-09-30","publicationStatus":"PW","scienceBaseUri":"53cd7b3de4b0b2908510e01f","contributors":{"authors":[{"text":"Odum, Jack K. 0000-0002-3162-0355","orcid":"https://orcid.org/0000-0002-3162-0355","contributorId":97900,"corporation":false,"usgs":true,"family":"Odum","given":"Jack","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":476710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stephenson, William J. 0000-0001-8699-0786 wstephens@usgs.gov","orcid":"https://orcid.org/0000-0001-8699-0786","contributorId":695,"corporation":false,"usgs":true,"family":"Stephenson","given":"William","email":"wstephens@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":476708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Robert A. rawilliams@usgs.gov","contributorId":1357,"corporation":false,"usgs":true,"family":"Williams","given":"Robert A.","email":"rawilliams@usgs.gov","affiliations":[{"id":301,"text":"Geologic Hazards Team","active":false,"usgs":true}],"preferred":false,"id":476709,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"von Hillebrandt-Andrade, Christa","contributorId":106593,"corporation":false,"usgs":true,"family":"von Hillebrandt-Andrade","given":"Christa","affiliations":[],"preferred":false,"id":476711,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70057609,"text":"70057609 - 2013 - Temporal, spatial, and body size effects on growth rates of loggerhead sea turtles (Caretta caretta) in the Northwest Atlantic","interactions":[],"lastModifiedDate":"2013-11-26T13:02:23","indexId":"70057609","displayToPublicDate":"2013-10-01T12:49:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2660,"text":"Marine Biology","active":true,"publicationSubtype":{"id":10}},"title":"Temporal, spatial, and body size effects on growth rates of loggerhead sea turtles (Caretta caretta) in the Northwest Atlantic","docAbstract":"In response to a call from the US National Research Council for research programs to combine their data to improve sea turtle population assessments, we analyzed somatic growth data for Northwest Atlantic (NWA) loggerhead sea turtles (Caretta caretta) from 10 research programs. We assessed growth dynamics over wide ranges of geography (9–33°N latitude), time (1978–2012), and body size (35.4–103.3 cm carapace length). Generalized additive models revealed significant spatial and temporal variation in growth rates and a significant decline in growth rates with increasing body size. Growth was more rapid in waters south of the USA (<24°N) than in USA waters. Growth dynamics in southern waters in the NWA need more study because sample size was small. Within USA waters, the significant spatial effect in growth rates of immature loggerheads did not exhibit a consistent latitudinal trend. Growth rates declined significantly from 1997 through 2007 and then leveled off or increased. During this same interval, annual nest counts in Florida declined by 43 % (Witherington et al. in Ecol Appl 19:30–54, 2009) before rebounding. Whether these simultaneous declines reflect responses in productivity to a common environmental change should be explored to determine whether somatic growth rates can help interpret population trends based on annual counts of nests or nesting females. Because of the significant spatial and temporal variation in growth rates, population models of NWA loggerheads should avoid employing growth data from restricted spatial or temporal coverage to calculate demographic metrics such as age at sexual maturity.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00227-013-2264-y","usgsCitation":"Bjorndal, K.A., Schroeder, B.A., Foley, A., Witherington, B.E., Bresette, M., Clark, D., Herren, R.M., Arendt, M.D., Schmid, J., Meylan, A.B., Meylan, P.A., Provancha, J., Hart, K.M., Lamont, M.M., Carthy, R.R., and Bolten, A.B., 2013, Temporal, spatial, and body size effects on growth rates of loggerhead sea turtles (Caretta caretta) in the Northwest Atlantic: Marine Biology, v. 160, no. 10, p. 2711-2721, https://doi.org/10.1007/s00227-013-2264-y.","productDescription":"11 p.","startPage":"2711","endPage":"2721","numberOfPages":"11","temporalStart":"1978-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-044468","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":279838,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279837,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00227-013-2264-y"}],"country":"United States","otherGeospatial":"Northwest Atlantic","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.6,9.0 ], [ -81.6,33.0 ], [ -51.9,33.0 ], [ -51.9,9.0 ], [ -81.6,9.0 ] ] ] } } ] }","volume":"160","issue":"10","noUsgsAuthors":false,"publicationDate":"2013-06-07","publicationStatus":"PW","scienceBaseUri":"5295d12be4b0becc369c8c9c","contributors":{"authors":[{"text":"Bjorndal, Karen A.","contributorId":96997,"corporation":false,"usgs":false,"family":"Bjorndal","given":"Karen","email":"","middleInitial":"A.","affiliations":[{"id":12567,"text":"Archie Carr Center for Sea Turtle Research, Department of Biology, University of Florida","active":true,"usgs":false}],"preferred":false,"id":486854,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schroeder, Barbara A.","contributorId":87853,"corporation":false,"usgs":true,"family":"Schroeder","given":"Barbara","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":486852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foley, Allen M.","contributorId":80178,"corporation":false,"usgs":true,"family":"Foley","given":"Allen M.","affiliations":[],"preferred":false,"id":486850,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Witherington, Blair E.","contributorId":60117,"corporation":false,"usgs":true,"family":"Witherington","given":"Blair","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":486847,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bresette, Michael","contributorId":61335,"corporation":false,"usgs":true,"family":"Bresette","given":"Michael","email":"","affiliations":[],"preferred":false,"id":486848,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clark, David","contributorId":95383,"corporation":false,"usgs":true,"family":"Clark","given":"David","affiliations":[],"preferred":false,"id":486853,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Herren, Richard M.","contributorId":46409,"corporation":false,"usgs":true,"family":"Herren","given":"Richard","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":486845,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Arendt, Michael D.","contributorId":105639,"corporation":false,"usgs":true,"family":"Arendt","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":486855,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schmid, Jeffrey R.","contributorId":79794,"corporation":false,"usgs":true,"family":"Schmid","given":"Jeffrey R.","affiliations":[],"preferred":false,"id":486849,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Meylan, Anne B.","contributorId":36045,"corporation":false,"usgs":true,"family":"Meylan","given":"Anne","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":486844,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Meylan, Peter A.","contributorId":82609,"corporation":false,"usgs":true,"family":"Meylan","given":"Peter","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":486851,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Provancha, Jane A.","contributorId":56551,"corporation":false,"usgs":true,"family":"Provancha","given":"Jane A.","affiliations":[],"preferred":false,"id":486846,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":486840,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Lamont, Margaret M. 0000-0001-7520-6669 mlamont@usgs.gov","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":4525,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","email":"mlamont@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":486842,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Carthy, Raymond R. 0000-0001-8978-5083 rayc@usgs.gov","orcid":"https://orcid.org/0000-0001-8978-5083","contributorId":3685,"corporation":false,"usgs":true,"family":"Carthy","given":"Raymond","email":"rayc@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":486841,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Bolten, Alan B.","contributorId":20247,"corporation":false,"usgs":false,"family":"Bolten","given":"Alan","email":"","middleInitial":"B.","affiliations":[{"id":12567,"text":"Archie Carr Center for Sea Turtle Research, Department of Biology, University of Florida","active":true,"usgs":false}],"preferred":false,"id":486843,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70047259,"text":"70047259 - 2013 - Seasonal persistence of marine-derived nutrients in south-central Alaskan salmon streams","interactions":[],"lastModifiedDate":"2013-11-07T13:08:24","indexId":"70047259","displayToPublicDate":"2013-10-01T12:43:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal persistence of marine-derived nutrients in south-central Alaskan salmon streams","docAbstract":"Spawning salmon deliver annual pulses of marine-derived nutrients (MDN) to riverine ecosystems around the Pacific Rim, leading to increased growth and condition in aquatic and riparian biota. The influence of pulsed resources may last for extended periods of time when recipient food webs have effective storage mechanisms, yet few studies have tracked the seasonal persistence of MDN. With this as our goal, we sampled stream water chemistry and selected stream and riparian biota spring through fall at 18 stations (in six watersheds) that vary widely in spawner abundance and at nine stations (in three watersheds) where salmon runs were blocked by waterfalls. We then developed regression models that related dissolved nutrient concentrations and biochemical measures of MDN assimilation to localized spawner density across these 27 stations. Stream water ammonium-N and orthophosphate-P concentrations increased with spawner density during the summer salmon runs, but responses did not persist into the following fall. The effect of spawner density on δ15N in generalist macroinvertebrates and three independent MDN metrics (δ15N, δ34S, and ω3:ω6 fatty acids) in juvenile Dolly Varden (Salvelinus malma) was positive and similar during each season, indicating that MDN levels in biota increased with spawner abundance and were maintained for at least nine months after inputs. Delta 15N in a riparian plant, horsetail (Equisetum fluviatile), and scraper macroinvertebrates did not vary with spawner density in any season, suggesting a lack of MDN assimilation by these lower trophic levels. Our results demonstrate the ready assimilation of MDN by generalist consumers and the persistence of this pulsed subsidy in these organisms through the winter and into the next growing season.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecosphere","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/ES13-00112.1","usgsCitation":"Rinella, D.J., Wipfi, M.S., Walker, C.M., Stricker, C.A., and Heintz, R.A., 2013, Seasonal persistence of marine-derived nutrients in south-central Alaskan salmon streams: Ecosphere, v. 4, no. 10, 18 p., https://doi.org/10.1890/ES13-00112.1.","productDescription":"18 p.","numberOfPages":"18","onlineOnly":"Y","ipdsId":"IP-045295","costCenters":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":473500,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es13-00112.1","text":"Publisher Index Page"},{"id":278925,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/ES13-00112.1"},{"id":278926,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kenai Peninsula","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -152.1705,59.0682 ], [ -152.1705,60.9256 ], [ -148.765,60.9256 ], [ -148.765,59.0682 ], [ -152.1705,59.0682 ] ] ] } } ] }","volume":"4","issue":"10","noUsgsAuthors":false,"publicationDate":"2013-10-14","publicationStatus":"PW","scienceBaseUri":"527cc494e4b0850ea050ceb7","contributors":{"authors":[{"text":"Rinella, Daniel J.","contributorId":69048,"corporation":false,"usgs":true,"family":"Rinella","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":481547,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wipfi, Mark S.","contributorId":28518,"corporation":false,"usgs":true,"family":"Wipfi","given":"Mark","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":481546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walker, Coowe M.","contributorId":96182,"corporation":false,"usgs":false,"family":"Walker","given":"Coowe","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":481548,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":481545,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heintz, Ron A.","contributorId":101552,"corporation":false,"usgs":true,"family":"Heintz","given":"Ron","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":481549,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70184342,"text":"70184342 - 2013 - Analysis of Neogene deformation between Beaver, Utah and Barstow, California: Suggestions for altering the extensional paradigm","interactions":[],"lastModifiedDate":"2021-04-05T16:59:54.709044","indexId":"70184342","displayToPublicDate":"2013-10-01T11:56:33","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5198,"text":"Geological Society of America Special Papers ","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of Neogene deformation between Beaver, Utah and Barstow, California: Suggestions for altering the extensional paradigm","docAbstract":"

For more than two decades, the paradigm of large-magnitude (~250 km), northwest-directed (~N70°W) Neogene extensional lengthening between the Colorado Plateau and Sierra Nevada at the approximate latitude of Las Vegas has remained largely unchallenged, as has the notion that the strain integrates with coeval strains in adjacent regions and with plate-boundary strain. The paradigm depends on poorly constrained interconnectedness of extreme-case lengthening estimated at scattered localities within the region. Here we evaluate the soundness of the inferred strain interconnectedness over an area reaching 600 km southwest from Beaver, Utah, to Barstow, California, and conclude that lengthening is overestimated in most areas and, even if the estimates are valid, lengthening is not interconnected in a way that allows for published versions of province-wide summations.

We summarize Neogene strike slip in 13 areas distributed from central Utah to Lake Mead. In general, left-sense shear and associated structures define a broad zone of translation approximately parallel to the eastern boundary of the Basin and Range against the Colorado Plateau, a zone we refer to as the Hingeline shear zone. Areas of steep-axis rotation (ranging to 2500 km2) record N-S shortening rather than unevenly distributed lengthening. In most cases, the rotational shortening and extension-parallel folds and thrusts are coupled to, or absorb, strike slip, thus providing valuable insight into how the discontinuous strike-slip faults are simply parts of a broad zone of continuous strain. The discontinuous nature of strike slip and the complex mixture of extensional, contractional, and steep-axis rotational structures in the Hingeline shear zone are similar to those in the Walker Lane belt in the west part of the Basin and Range, and, together, the two record southward displacement of the central and northern Basin and Range relative to the adjacent Colorado Plateau. Understanding this province-scale coupling is critical to understanding major NS shortening and westerly tectonic escape in the Lake Mead area.

One north-elongate uplift in the Hingeline shear zone is a positive flower structure along a strike-slip fault, and we postulate that most other large uplifts are diapiric, resulting from extension-normal inflow of ductile substrate, rather than second-order isostatic responses to tectonic unloading. We also postulate that large steep-axis rotations, and some small ones as well, result from basal tractions imparted by gradients in southerly directed subjacent ductile flow rather than by shear coupling imparted by laterally variable elongation strains. The shortening strain recorded in the rotations and related structures probably matches or exceeds the magnitude of lengthening, even for the Lake Mead area where we do not question local large (~65 km) west-directed lengthening. We assess the results of extensive recent earth-science research in the Lake Mead area and conclude that previously published models of N-S convergence, westerly tectonic rafting, and N-S occlusion are valid and record unique tectonic escape accommodation for south-directed displacement of the Great Basin sector of the Basin and Range. Genetic ties between the south-directed displacement and plate-interaction forces are elusive, and we suggest the displacement results from body forces inherent in the Basin and Range.

","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/2013.2499(01)","usgsCitation":"Anderson, R.E., Beard, S., Mankinen, E.A., and Hillhouse, J.W., 2013, Analysis of Neogene deformation between Beaver, Utah and Barstow, California: Suggestions for altering the extensional paradigm: Geological Society of America Special Papers , v. 499, p. 1-67, https://doi.org/10.1130/2013.2499(01).","productDescription":"67 p.","startPage":"1","endPage":"67","ipdsId":"IP-041656","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":336973,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Nevada, Utah","city":"Barstow, Beaver","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.1534,34.8 ], [ -117.1534,38.308351 ], [ -112.61087,38.308351 ], [ -112.61087,34.8 ], [ -117.1534,34.8 ] ] ] } } ] }","volume":"499","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58bfd4f7e4b014cc3a3ba4cc","contributors":{"authors":[{"text":"Anderson, R. Ernest","contributorId":104484,"corporation":false,"usgs":true,"family":"Anderson","given":"R.","email":"","middleInitial":"Ernest","affiliations":[],"preferred":false,"id":681062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beard, Sue 0000-0001-9552-1893 sbeard@usgs.gov","orcid":"https://orcid.org/0000-0001-9552-1893","contributorId":167711,"corporation":false,"usgs":true,"family":"Beard","given":"Sue","email":"sbeard@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":681061,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mankinen, Edward A. 0000-0001-7496-2681 emank@usgs.gov","orcid":"https://orcid.org/0000-0001-7496-2681","contributorId":1054,"corporation":false,"usgs":true,"family":"Mankinen","given":"Edward","email":"emank@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":681059,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hillhouse, John W. 0000-0002-1371-4622 jhillhouse@usgs.gov","orcid":"https://orcid.org/0000-0002-1371-4622","contributorId":2618,"corporation":false,"usgs":true,"family":"Hillhouse","given":"John","email":"jhillhouse@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":681060,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}