This paper illustrates the advantages of a multilevel/hierarchical approach for predictive modeling, including flexibility of model formulation, explicitly accounting for hierarchical structure in the data, and the ability to predict the outcome of new cases. As a generalization of the classical approach, the multilevel modeling approach explicitly models the hierarchical structure in the data by considering both the within- and between-group variances leading to a partial pooling of data across all levels in the hierarchy. The modeling framework provides means for incorporating variables at different spatiotemporal scales. The examples used in this paper illustrate the iterative process of model fitting and evaluation, a process that can lead to improved understanding of the system being studied.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/09-1043.1","issn":"00129658","usgsCitation":"Qian, S.S., Cuffney, T.F., Alameddine, I., McMahon, G., and Reckhow, K.H., 2010, On the application of multilevel modeling in environmental and ecological studies: Ecology, v. 91, no. 2, p. 355-361, https://doi.org/10.1890/09-1043.1.","productDescription":"7 p.","startPage":"355","endPage":"361","numberOfPages":"7","ipdsId":"IP-011765","costCenters":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":476105,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/09-1043.1","text":"Publisher Index Page"},{"id":242001,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214293,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/09-1043.1"}],"volume":"91","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6db6e4b0c8380cd752a9","contributors":{"authors":[{"text":"Qian, Song S.","contributorId":198934,"corporation":false,"usgs":false,"family":"Qian","given":"Song","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":442565,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cuffney, Thomas F. 0000-0003-1164-5560 tcuffney@usgs.gov","orcid":"https://orcid.org/0000-0003-1164-5560","contributorId":517,"corporation":false,"usgs":true,"family":"Cuffney","given":"Thomas","email":"tcuffney@usgs.gov","middleInitial":"F.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":442566,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alameddine, Ibrahim","contributorId":22459,"corporation":false,"usgs":true,"family":"Alameddine","given":"Ibrahim","email":"","affiliations":[],"preferred":false,"id":442563,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McMahon, Gerard 0000-0001-7675-777X gmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7675-777X","contributorId":191488,"corporation":false,"usgs":true,"family":"McMahon","given":"Gerard","email":"gmcmahon@usgs.gov","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":442564,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reckhow, Kenneth H.","contributorId":141208,"corporation":false,"usgs":false,"family":"Reckhow","given":"Kenneth","email":"","middleInitial":"H.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":442562,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70033825,"text":"70033825 - 2010 - Night sampling improves indices used for management of yellow perch in Lake Erie","interactions":[],"lastModifiedDate":"2012-03-12T17:21:32","indexId":"70033825","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Night sampling improves indices used for management of yellow perch in Lake Erie","docAbstract":"Catch rate (catch per hour) was examined for age-0 and age-1 yellow perch, Perca flavescens (Mitchill), captured in bottom trawls from 1991 to 2005 in western Lake Erie: (1) to examine variation of catch rate among years, seasons, diel periods and their interactions; and (2) to determine whether sampling during particular diel periods improved the management value of CPH data used in models to project abundance of age-2 yellow perch. Catch rate varied with year, season and the diel period during which sampling was conducted as well as by the interaction between year and season. Indices of abundance of age-0 and age-1 yellow perch estimated from night samples typically produced better fitting models and lower estimates of age-2 abundance than those using morning or afternoon samples, whereas indices using afternoon samples typically produced less precise and higher estimates of abundance. The diel period during which sampling is conducted will not affect observed population trends but may affect estimates of abundance of age-0 and age-1 yellow perch, which in turn affect recommended allowable harvest. A field experiment throughout western Lake Erie is recommended to examine potential benefits of night sampling to management of yellow perch. Published 2010. The article is a US Government work and is in the public domain in the USA.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Fisheries Management and Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1365-2400.2009.00721.x","issn":"0969997X","usgsCitation":"Kocovsky, P., Stapanian, M., and Knight, C., 2010, Night sampling improves indices used for management of yellow perch in Lake Erie: Fisheries Management and Ecology, v. 17, no. 1, p. 10-18, https://doi.org/10.1111/j.1365-2400.2009.00721.x.","startPage":"10","endPage":"18","numberOfPages":"9","costCenters":[],"links":[{"id":214209,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2400.2009.00721.x"},{"id":241908,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-01-08","publicationStatus":"PW","scienceBaseUri":"505a6654e4b0c8380cd72d77","contributors":{"authors":[{"text":"Kocovsky, P.M.","contributorId":78447,"corporation":false,"usgs":true,"family":"Kocovsky","given":"P.M.","affiliations":[],"preferred":false,"id":442716,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stapanian, M.A.","contributorId":65437,"corporation":false,"usgs":true,"family":"Stapanian","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":442714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knight, C.T.","contributorId":66042,"corporation":false,"usgs":true,"family":"Knight","given":"C.T.","email":"","affiliations":[],"preferred":false,"id":442715,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70033831,"text":"70033831 - 2010 - Housing growth in and near United States protected areas limits their conservation value","interactions":[],"lastModifiedDate":"2012-03-12T17:21:31","indexId":"70033831","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Housing growth in and near United States protected areas limits their conservation value","docAbstract":"Protected areas are crucial for biodiversity conservation because they provide safe havens for species threatened by land-use change and resulting habitat loss. However, protected areas are only effective when they stop habitat loss within their boundaries, and are connected via corridors to other wild areas. The effectiveness of protected areas is threatened by development; however, the extent of this threat is unknown. We compiled spatially-detailed housing growth data from 1940 to 2030, and quantified growth for each wilderness area, national park, and national forest in the conterminous United States. Our findings show that housing development in the United States may severely limit the ability of protected areas to function as a modern \"Noah's Ark.\" Between 1940 and 2000, 28 million housing units were built within 50 km of protected areas, and 940,000 were built within national forests. Housing growth rates during the 1990s within 1 km of protected areas (20% per decade) outpaced the national average (13%). If long-term trends continue, another 17 million housing units will be built within 50 km of protected areas by 2030 (1 million within 1 km), greatly diminishing their conservation value. US protected areas are increasingly isolated, housing development in their surroundings is decreasing their effective size, and national forests are even threatened by habitat loss within their administrative boundaries. Protected areas in the United States are thus threatened similarly to those in developing countries. However, housing growth poses the main threat to protected areas in the United States whereas deforestation is the main threat in developing countries.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Proceedings of the National Academy of Sciences of the United States of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1073/pnas.0911131107","issn":"00278424","usgsCitation":"Radeloff, V.C., Stewart, S.I., Hawbaker, T., Gimmi, U., Pidgeon, A., Flather, C., Hammer, R.B., and Helmers, D., 2010, Housing growth in and near United States protected areas limits their conservation value: Proceedings of the National Academy of Sciences of the United States of America, v. 107, no. 2, p. 940-945, https://doi.org/10.1073/pnas.0911131107.","startPage":"940","endPage":"945","numberOfPages":"6","costCenters":[],"links":[{"id":487749,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2818924","text":"External Repository"},{"id":214320,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1073/pnas.0911131107"},{"id":242037,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"107","issue":"2","noUsgsAuthors":false,"publicationDate":"2009-12-22","publicationStatus":"PW","scienceBaseUri":"505a3240e4b0c8380cd5e651","contributors":{"authors":[{"text":"Radeloff, V. C.","contributorId":58467,"corporation":false,"usgs":false,"family":"Radeloff","given":"V.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":442749,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stewart, S. I.","contributorId":99779,"corporation":false,"usgs":false,"family":"Stewart","given":"S.","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":442754,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hawbaker, T. J.","contributorId":98118,"corporation":false,"usgs":true,"family":"Hawbaker","given":"T. J.","affiliations":[],"preferred":false,"id":442753,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gimmi, U.","contributorId":57675,"corporation":false,"usgs":true,"family":"Gimmi","given":"U.","email":"","affiliations":[],"preferred":false,"id":442748,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pidgeon, A.M.","contributorId":77372,"corporation":false,"usgs":true,"family":"Pidgeon","given":"A.M.","email":"","affiliations":[],"preferred":false,"id":442751,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Flather, C.H.","contributorId":73161,"corporation":false,"usgs":true,"family":"Flather","given":"C.H.","affiliations":[],"preferred":false,"id":442750,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hammer, R. B.","contributorId":77744,"corporation":false,"usgs":false,"family":"Hammer","given":"R.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":442752,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Helmers, D.P.","contributorId":45128,"corporation":false,"usgs":true,"family":"Helmers","given":"D.P.","email":"","affiliations":[],"preferred":false,"id":442747,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70033832,"text":"70033832 - 2010 - Event-driven sediment flux in Hueneme and Mugu submarine canyons, southern California","interactions":[],"lastModifiedDate":"2013-05-14T11:37:15","indexId":"70033832","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Event-driven sediment flux in Hueneme and Mugu submarine canyons, southern California","docAbstract":"Vertical sediment fluxes and their dominant controlling processes in Hueneme and Mugu submarine canyons off south-central California were assessed using data from sediment traps and current meters on two moorings that were deployed for 6 months during the winter of 2007. The maxima of total particulate flux, which reached as high as 300+ g/m2/day in Hueneme Canyon, were recorded during winter storm events when high waves and river floods often coincided. During these winter storms, wave-induced resuspension of shelf sediment was a major source for the elevated sediment fluxes. Canyon rim morphology, rather than physical proximity to an adjacent river mouth, appeared to control the magnitude of sediment fluxes in these two submarine canyon systems. Episodic turbidity currents and internal bores enhanced sediment fluxes, particularly in the lower sediment traps positioned 30 m above the canyon floor. Lower excess 210Pb activities measured in the sediment samples collected during periods of peak total particulate flux further substantiate that reworked shelf-, rather than newly introduced river-borne, sediments supply most of the material entering these canyons during storms.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2009.12.007","issn":"00253227","usgsCitation":"Xu, J.P., Swarzenski, P., Noble, M., and Li, A., 2010, Event-driven sediment flux in Hueneme and Mugu submarine canyons, southern California: Marine Geology, v. 269, no. 1-2, p. 74-88, https://doi.org/10.1016/j.margeo.2009.12.007.","productDescription":"15 p.","startPage":"74","endPage":"88","costCenters":[{"id":586,"text":"Tinker & Estes Lab and Santa Cruz Field Station","active":false,"usgs":true}],"links":[{"id":214321,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.margeo.2009.12.007"},{"id":242038,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"269","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0d23e4b0c8380cd52e2b","contributors":{"authors":[{"text":"Xu, J. P.","contributorId":74528,"corporation":false,"usgs":true,"family":"Xu","given":"J.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":442758,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swarzenski, P.W. 0000-0003-0116-0578","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":29487,"corporation":false,"usgs":true,"family":"Swarzenski","given":"P.W.","affiliations":[],"preferred":false,"id":442756,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Noble, M.","contributorId":15340,"corporation":false,"usgs":true,"family":"Noble","given":"M.","email":"","affiliations":[],"preferred":false,"id":442755,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Li, A.-C.","contributorId":50740,"corporation":false,"usgs":true,"family":"Li","given":"A.-C.","email":"","affiliations":[],"preferred":false,"id":442757,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70033859,"text":"70033859 - 2010 - MTBE, TBA, and TAME attenuation in diverse hyporheic zones","interactions":[],"lastModifiedDate":"2018-10-10T09:49:38","indexId":"70033859","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"MTBE, TBA, and TAME attenuation in diverse hyporheic zones","docAbstract":"Groundwater contamination by fuel-related compounds such as the fuel oxygenates methyl tert-butyl ether (MTBE), tert-butyl alcohol (TBA), and tert-amyl methyl ether (TAME) presents a significant issue to managers and consumers of groundwater and surface water that receives groundwater discharge. Four sites were investigated on Long Island, New York, characterized by groundwater contaminated with gasoline and fuel oxygenates that ultimately discharge to fresh, brackish, or saline surface water. For each site, contaminated groundwater discharge zones were delineated using pore water geochemistry data from 15 feet (4.5 m) beneath the bottom of the surface water body in the hyporheic zone and seepage-meter tests were conducted to measure discharge rates. These data when combined indicate that MTBE, TBA, and TAME concentrations in groundwater discharge in a 5-foot (1.5-m) thick section of the hyporheic zone were attenuated between 34% and 95%, in contrast to immeasurable attenuation in the shallow aquifer during contaminant transport between 0.1 and 1.5 miles (0.1 to 2.4 km). The attenuation observed in the hyporheic zone occurred primarily by physical processes such as mixing of groundwater and surface water. Biodegradation also occurred as confirmed in laboratory microcosms by the mineralization of U- 14C-MTBE and U- 14C-TBA to 14CO2 and the novel biodegradation of U- 14C-TAME to 14CO2 under oxic and anoxic conditions. The implication of fuel oxygenate attenuation observed in diverse hyporheic zones suggests an assessment of the hyporheic zone attenuation potential (HZAP) merits inclusion as part of site assessment strategies associated with monitored or engineered attenuation.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1745-6584.2009.00608.x","issn":"0017467X","usgsCitation":"Landmeyer, J., Bradley, P.M., Trego, D., Hale, K., and Haas, J., 2010, MTBE, TBA, and TAME attenuation in diverse hyporheic zones: Ground Water, v. 48, no. 1, p. 30-41, https://doi.org/10.1111/j.1745-6584.2009.00608.x.","productDescription":"12 p.","startPage":"30","endPage":"41","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":241938,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214238,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6584.2009.00608.x"}],"volume":"48","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-12-23","publicationStatus":"PW","scienceBaseUri":"505a4affe4b0c8380cd691fd","contributors":{"authors":[{"text":"Landmeyer, James 0000-0002-5640-3816 jlandmey@usgs.gov","orcid":"https://orcid.org/0000-0002-5640-3816","contributorId":3257,"corporation":false,"usgs":true,"family":"Landmeyer","given":"James","email":"jlandmey@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":442870,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":442867,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trego, D.A.","contributorId":66930,"corporation":false,"usgs":true,"family":"Trego","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":442869,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hale, K.G.","contributorId":40436,"corporation":false,"usgs":true,"family":"Hale","given":"K.G.","email":"","affiliations":[],"preferred":false,"id":442868,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haas, J.E. II","contributorId":107113,"corporation":false,"usgs":true,"family":"Haas","given":"J.E.","suffix":"II","email":"","affiliations":[],"preferred":false,"id":442871,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70033860,"text":"70033860 - 2010 - On the specification of structural equation models for ecological systems","interactions":[],"lastModifiedDate":"2020-01-10T10:17:20","indexId":"70033860","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1459,"text":"Ecological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"On the specification of structural equation models for ecological systems","docAbstract":"The use of structural equation modeling (SEM) is often motivated by its utility for investigating complex networks of relationships, but also because of its promise as a means of representing theoretical concepts using latent variables. In this paper, we discuss characteristics of ecological theory and some of the challenges for proper specification of theoretical ideas in structural equation models (SE models). In our presentation, we describe some of the requirements for classical latent variable models in which observed variables (indicators) are interpreted as the effects of underlying causes. We also describe alternative model specifications in which indicators are interpreted as having causal influences on the theoretical concepts. We suggest that this latter nonclassical specification (which involves another variable type—the composite) will often be appropriate for ecological studies because of the multifaceted nature of our theoretical concepts.
In this paper, we employ the use of meta‐models to aid the translation of theory into SE models and also to facilitate our ability to relate results back to our theories. We demonstrate our approach by showing how a synthetic theory of grassland biodiversity can be evaluated using SEM and data from a coastal grassland. In this example, the theory focuses on the responses of species richness to abiotic stress and disturbance, both directly and through intervening effects on community biomass. Models examined include both those based on classical forms (where each concept is represented using a single latent variable) and also ones in which the concepts are recognized to be multifaceted and modeled as such. To address the challenge of matching SE models with the conceptual level of our theory, two approaches are illustrated, compositing and aggregation. Both approaches are shown to have merits, with the former being preferable for cases where the multiple facets of a concept have widely differing effects in the system and the latter being preferable where facets act together consistently when influencing other parts of the system. Because ecological theory characteristically deals with concepts that are multifaceted, we expect the methods presented in this paper will be useful for ecologists wishing to use SEM.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/09-0464.1","issn":"00129615","usgsCitation":"Grace, J.B., Anderson, T., Olff, H., and Scheiner, S., 2010, On the specification of structural equation models for ecological systems: Ecological Monographs, v. 80, no. 1, p. 67-87, https://doi.org/10.1890/09-0464.1.","productDescription":"21 p.","startPage":"67","endPage":"87","numberOfPages":"21","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":475914,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research.rug.nl/en/publications/7c1539d0-3580-4f38-97e6-950647931c25","text":"External Repository"},{"id":241969,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6dfbe4b0c8380cd75428","contributors":{"authors":[{"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":442873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, T. Michael","contributorId":78077,"corporation":false,"usgs":true,"family":"Anderson","given":"T. Michael","affiliations":[],"preferred":false,"id":442872,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olff, Han","contributorId":221639,"corporation":false,"usgs":false,"family":"Olff","given":"Han","email":"","affiliations":[],"preferred":false,"id":442875,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scheiner, S.M.","contributorId":78165,"corporation":false,"usgs":true,"family":"Scheiner","given":"S.M.","email":"","affiliations":[],"preferred":false,"id":442874,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70033862,"text":"70033862 - 2010 - Morphologic dating of fault scarps using airborne laser swath mapping (ALSM) data","interactions":[],"lastModifiedDate":"2012-03-12T17:21:32","indexId":"70033862","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Morphologic dating of fault scarps using airborne laser swath mapping (ALSM) data","docAbstract":"Models of fault scarp morphology have been previously used to infer the relative age of different fault scarps in a fault zone using labor-intensive ground surveying. We present a method for automatically extracting scarp morphologic ages within high-resolution digital topography. Scarp degradation is modeled as a diffusive mass transport process in the across-scarp direction. The second derivative of the modeled degraded fault scarp was normalized to yield the best-fitting (in a least-squared sense) scarp height at each point, and the signal-to-noise ratio identified those areas containing scarp-like topography. We applied this method to three areas along the San Andreas Fault and found correspondence between the mapped geometry of the fault and that extracted by our analysis. This suggests that the spatial distribution of scarp ages may be revealed by such an analysis, allowing the recent temporal development of a fault zone to be imaged along its length.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2009GL042044","issn":"00948276","usgsCitation":"Hilley, G., Delong, S., Prentice, C., Blisniuk, K., and Arrowsmith, J., 2010, Morphologic dating of fault scarps using airborne laser swath mapping (ALSM) data: Geophysical Research Letters, v. 37, no. 4, https://doi.org/10.1029/2009GL042044.","costCenters":[],"links":[{"id":475933,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2009gl042044","text":"Publisher Index Page"},{"id":214296,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2009GL042044"},{"id":242004,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-02-18","publicationStatus":"PW","scienceBaseUri":"505a5e36e4b0c8380cd70890","contributors":{"authors":[{"text":"Hilley, G.E.","contributorId":40396,"corporation":false,"usgs":false,"family":"Hilley","given":"G.E.","affiliations":[],"preferred":false,"id":442881,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Delong, S.","contributorId":6334,"corporation":false,"usgs":true,"family":"Delong","given":"S.","email":"","affiliations":[],"preferred":false,"id":442879,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prentice, C.","contributorId":33107,"corporation":false,"usgs":true,"family":"Prentice","given":"C.","email":"","affiliations":[],"preferred":false,"id":442880,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blisniuk, K.","contributorId":86233,"corporation":false,"usgs":true,"family":"Blisniuk","given":"K.","email":"","affiliations":[],"preferred":false,"id":442883,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Arrowsmith, J.R. Jr.","contributorId":49669,"corporation":false,"usgs":true,"family":"Arrowsmith","given":"J.R.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":442882,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70033885,"text":"70033885 - 2010 - In situ measurements of volatile aromatic hydrocarbon biodegradation rates in groundwater","interactions":[],"lastModifiedDate":"2018-10-10T08:28:48","indexId":"70033885","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2233,"text":"Journal of Contaminant Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"In situ measurements of volatile aromatic hydrocarbon biodegradation rates in groundwater","docAbstract":"Benzene and alkylbenzene biodegradation rates and patterns were measured using an in situ microcosm in a crude-oil contaminated aquifer near Bemidji, Minnesota. Benzene-D6, toluene, ethylbenzene, o-, m- and p-xylenes and four pairs of C3- and C4-benzenes were added to an in situ microcosm and studied over a 3-year period. The microcosm allowed for a mass-balance approach and quantification of hydrocarbon biodegradation rates within a well-defined iron-reducing zone of the anoxic plume. Among the BTEX compounds, the apparent order of persistence is ethylbenzene > benzene > m,p-xylenes > o-xylene ≥ toluene. Threshold concentrations were observed for several compounds in the in situ microcosm, below which degradation was not observed, even after hundreds of days. In addition, long lag times were observed before the onset of degradation of benzene or ethylbenzene. The isomer-specific degradation patterns were compared to observations from a multi-year study conducted using data collected from monitoring wells along a flowpath in the contaminant plume. The data were fit with both first-order and Michaelis-Menten models. First-order kinetics provided a good fit for hydrocarbons with starting concentrations below 1 mg/L and Michaelis-Menten kinetics were a better fit when starting concentrations were above 1 mg/L, as was the case for benzene. The biodegradation rate data from this study were also compared to rates from other investigations reported in the literature.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Contaminant Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jconhyd.2009.12.001","issn":"01697722","usgsCitation":"Cozzarelli, I., Bekins, B., Eganhouse, R., Warren, E., and Essaid, H., 2010, In situ measurements of volatile aromatic hydrocarbon biodegradation rates in groundwater: Journal of Contaminant Hydrology, v. 111, no. 1-4, p. 48-64, https://doi.org/10.1016/j.jconhyd.2009.12.001.","productDescription":"17 p.","startPage":"48","endPage":"64","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":241845,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214151,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jconhyd.2009.12.001"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.94943,47.424564 ], [ -94.94943,47.5269 ], [ -94.799758,47.5269 ], [ -94.799758,47.424564 ], [ -94.94943,47.424564 ] ] ] } } ] }","volume":"111","issue":"1-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a39a7e4b0c8380cd619c6","contributors":{"authors":[{"text":"Cozzarelli, I.M. 0000-0002-5123-1007","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":22343,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"I.M.","affiliations":[],"preferred":false,"id":443019,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bekins, B.A.","contributorId":98309,"corporation":false,"usgs":true,"family":"Bekins","given":"B.A.","email":"","affiliations":[],"preferred":false,"id":443021,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eganhouse, R.P.","contributorId":67555,"corporation":false,"usgs":true,"family":"Eganhouse","given":"R.P.","email":"","affiliations":[],"preferred":false,"id":443020,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warren, E.","contributorId":15360,"corporation":false,"usgs":true,"family":"Warren","given":"E.","email":"","affiliations":[],"preferred":false,"id":443017,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Essaid, H.I.","contributorId":22342,"corporation":false,"usgs":true,"family":"Essaid","given":"H.I.","email":"","affiliations":[],"preferred":false,"id":443018,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70033915,"text":"70033915 - 2010 - Model selection bias and Freedman's paradox","interactions":[],"lastModifiedDate":"2012-03-12T17:21:26","indexId":"70033915","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":799,"text":"Annals of the Institute of Statistical Mathematics","active":true,"publicationSubtype":{"id":10}},"title":"Model selection bias and Freedman's paradox","docAbstract":"In situations where limited knowledge of a system exists and the ratio of data points to variables is small, variable selection methods can often be misleading. Freedman (Am Stat 37:152-155, 1983) demonstrated how common it is to select completely unrelated variables as highly \"significant\" when the number of data points is similar in magnitude to the number of variables. A new type of model averaging estimator based on model selection with Akaike's AIC is used with linear regression to investigate the problems of likely inclusion of spurious effects and model selection bias, the bias introduced while using the data to select a single seemingly \"best\" model from a (often large) set of models employing many predictor variables. The new model averaging estimator helps reduce these problems and provides confidence interval coverage at the nominal level while traditional stepwise selection has poor inferential properties. ?? The Institute of Statistical Mathematics, Tokyo 2009.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Annals of the Institute of Statistical Mathematics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10463-009-0234-4","issn":"00203157","usgsCitation":"Lukacs, P., Burnham, K., and Anderson, D., 2010, Model selection bias and Freedman's paradox: Annals of the Institute of Statistical Mathematics, v. 62, no. 1, p. 117-125, https://doi.org/10.1007/s10463-009-0234-4.","startPage":"117","endPage":"125","numberOfPages":"9","costCenters":[],"links":[{"id":214572,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10463-009-0234-4"},{"id":242307,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-05-26","publicationStatus":"PW","scienceBaseUri":"505a5bb3e4b0c8380cd6f745","contributors":{"authors":[{"text":"Lukacs, P.M.","contributorId":84708,"corporation":false,"usgs":true,"family":"Lukacs","given":"P.M.","email":"","affiliations":[],"preferred":false,"id":443158,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burnham, K.P.","contributorId":63760,"corporation":false,"usgs":true,"family":"Burnham","given":"K.P.","email":"","affiliations":[],"preferred":false,"id":443157,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, David R.","contributorId":8413,"corporation":false,"usgs":true,"family":"Anderson","given":"David R.","affiliations":[],"preferred":false,"id":443156,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70033916,"text":"70033916 - 2010 - Evaluation of aquifer heterogeneity effects on river flow loss using a transition probability framework","interactions":[],"lastModifiedDate":"2012-03-12T17:21:33","indexId":"70033916","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of aquifer heterogeneity effects on river flow loss using a transition probability framework","docAbstract":"River-aquifer exchange is considered within a transition probability framework along the Rio Grande in Albuquerque, New Mexico, to provide a stochastic estimate of aquifer heterogeneity and river loss. Six plausible hydrofacies configurations were determined using categorized drill core and wetland survey data processed through the TPROGS geostatistical package. A base case homogeneous model was also constructed for comparison. River loss was simulated for low, moderate, and high Rio Grande stages and several different riverside drain stage configurations. Heterogeneity effects were quantified by determining the mean and variance of the K field for each realization compared to the root-mean-square (RMS) error of the observed groundwater head data. Simulation results showed that the heterogeneous models produced smaller estimates of loss than the homogeneous approximation. Differences between heterogeneous and homogeneous model results indicate that the use of a homogeneous K in a regional-scale model may result in an overestimation of loss but comparable RMS error. We find that the simulated river loss is dependent on the aquifer structure and is most sensitive to the volumetric proportion of fines within the river channel. Copyright 2010 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2009WR007903","issn":"00431397","usgsCitation":"Engdahl, N., Vogler, E.T., and Weissmann, G., 2010, Evaluation of aquifer heterogeneity effects on river flow loss using a transition probability framework: Water Resources Research, v. 46, no. 1, https://doi.org/10.1029/2009WR007903.","costCenters":[],"links":[{"id":475911,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2009wr007903","text":"Publisher Index Page"},{"id":241812,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214120,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2009WR007903"}],"volume":"46","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-01-15","publicationStatus":"PW","scienceBaseUri":"505a0c48e4b0c8380cd52af1","contributors":{"authors":[{"text":"Engdahl, N.B.","contributorId":22977,"corporation":false,"usgs":true,"family":"Engdahl","given":"N.B.","email":"","affiliations":[],"preferred":false,"id":443159,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vogler, E. T.","contributorId":55220,"corporation":false,"usgs":true,"family":"Vogler","given":"E.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":443161,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weissmann, G.S.","contributorId":50927,"corporation":false,"usgs":true,"family":"Weissmann","given":"G.S.","affiliations":[],"preferred":false,"id":443160,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70033917,"text":"70033917 - 2010 - Patterns of Tamarix water use during a record drought","interactions":[],"lastModifiedDate":"2012-03-12T17:21:33","indexId":"70033917","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Patterns of Tamarix water use during a record drought","docAbstract":"During a record drought (2006) in southwest Kansas, USA, we assessed groundwater dynamics in a shallow, unconfined aquifer, along with plant water sources and physiological responses of the invasive riparian shrub Tamarix ramosissima. In early May, diel water table fluctuations indicated evapotranspirative consumption of groundwater by vegetation. During the summer drought, the water table elevation dropped past the lowest position previously recorded. Concurrent with this drop, water table fluctuations abruptly diminished at all wells at which they had previously been observed despite increasing evapotranspirative demand. Following reductions in groundwater fluctuations, volumetric water content declined corresponding to the well-specific depths of the capillary fringe in early May, suggesting a switch from primary dependence on groundwater to vadose-zone water. In at least one well, the fluctuations appear to re-intensify in August, suggesting increased groundwater uptake by Tamarix or other non-senesced species from a deeper water table later in the growing season. Our data suggest that Tamarix can rapidly shift water sources in response to declines in the water table. The use of multiple water sources by Tamarix minimized leaf-level water stress during drought periods. This study illustrates the importance of the previous hydrologic conditions experienced by site vegetation for controlling root establishment at depth and demonstrates the utility of data from high-frequency hydrologic monitoring in the interpretation of plant water sources using isotopic methods. ?? Springer-Verlag 2009.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Oecologia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s00442-009-1455-1","issn":"00298549","usgsCitation":"Nippert, J., Butler, J., Kluitenberg, G.J., Whittemore, D.O., Arnold, D., Spal, S., and Ward, J., 2010, Patterns of Tamarix water use during a record drought: Oecologia, v. 162, no. 2, p. 283-292, https://doi.org/10.1007/s00442-009-1455-1.","startPage":"283","endPage":"292","numberOfPages":"10","costCenters":[],"links":[{"id":241813,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214121,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00442-009-1455-1"}],"volume":"162","issue":"2","noUsgsAuthors":false,"publicationDate":"2009-09-13","publicationStatus":"PW","scienceBaseUri":"505a75c4e4b0c8380cd77d27","contributors":{"authors":[{"text":"Nippert, J.B.","contributorId":56457,"corporation":false,"usgs":true,"family":"Nippert","given":"J.B.","affiliations":[],"preferred":false,"id":443166,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Butler, J.J. Jr.","contributorId":12194,"corporation":false,"usgs":true,"family":"Butler","given":"J.J.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":443162,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kluitenberg, Gerard J.","contributorId":93706,"corporation":false,"usgs":false,"family":"Kluitenberg","given":"Gerard","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":443168,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whittemore, Donald O.","contributorId":28748,"corporation":false,"usgs":false,"family":"Whittemore","given":"Donald","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":443164,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Arnold, D.","contributorId":76683,"corporation":false,"usgs":true,"family":"Arnold","given":"D.","affiliations":[],"preferred":false,"id":443167,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Spal, S.E.","contributorId":26892,"corporation":false,"usgs":true,"family":"Spal","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":443163,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ward, J.K.","contributorId":32740,"corporation":false,"usgs":true,"family":"Ward","given":"J.K.","email":"","affiliations":[],"preferred":false,"id":443165,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70033942,"text":"70033942 - 2010 - Testing alternative models of climate-mediated extirpations","interactions":[],"lastModifiedDate":"2012-03-12T17:21:31","indexId":"70033942","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Testing alternative models of climate-mediated extirpations","docAbstract":"Biotic responses to climate change will vary among taxa and across latitudes, elevational gradients, and degrees of insularity. However, due to factors such as phenotypic plasticity, ecotypic variation, and evolved tolerance to thermal stress, it remains poorly understood whether losses should be greatest in populations experiencing the greatest climatic change or living in places where the prevailing climate is closest to the edge of the species' bioclimatic envelope (e.g., at the hottest, driest sites). Research on American pikas (Ochotona princeps) in montane areas of the Great Basin during 1994-1999 suggested that 20th-century population extirpations were predicted by a combination of biogeographic, anthropogenic, and especially climatic factors. Surveys during 2005-2007 documented additional extirpations and within-site shifts of pika distributions at remaining sites. To evaluate the evidence in support of alternative hypotheses involving effects of thermal stress on pikas, we placed temperature sensors at 156 locations within pika habitats in the vicinity of 25 sites with historical records of pikas in the Basin. We related these time series of sensor data to data on ambient temperature from weather stations within the Historical Climate Network. We then used these highly correlated relationships, combined with long-term data from the same weather stations, to hindcast temperatures within pika habitats from 1945 through 2006. To explain patterns of loss, we posited three alternative classes of direct thermal stress: (1) acute cold stress (number of days below a threshold temperature); (2) acute heat stress (number of days above a threshold, temperature); and. (3) chronic heat stress (average summer temperature). Climate change was defined as change in our thermal metrics between two 31-y.r periods: 1945-1975 and 1976-2006. We found that patterns of persistence were well predicted by metrics of climate. Our best models suggest some effects of climate change; however, recent and long-term metrics of chronic heat stress and acute cold stress, neither previously recognized as sources of stress for pikas, were some of the best predictors of pika persistence. Results illustrate that extremely rapid distributional shifts can be explained by climatic influences and have implications for conservation topics such as reintroductions and early-warning indicators. ?? 2010 by the Ecological society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1890/08-1011.1","issn":"10510761","usgsCitation":"Beever, E., Chris, R., Mote, P., and Wilkening, J., 2010, Testing alternative models of climate-mediated extirpations: Ecological Applications, v. 20, no. 1, p. 164-178, https://doi.org/10.1890/08-1011.1.","startPage":"164","endPage":"178","numberOfPages":"15","costCenters":[],"links":[{"id":214481,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/08-1011.1"},{"id":242209,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba5bae4b08c986b320c2d","contributors":{"authors":[{"text":"Beever, E.A.","contributorId":80040,"corporation":false,"usgs":true,"family":"Beever","given":"E.A.","email":"","affiliations":[],"preferred":false,"id":443305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chris, R.A.Y.","contributorId":86185,"corporation":false,"usgs":true,"family":"Chris","given":"R.A.Y.","email":"","affiliations":[],"preferred":false,"id":443306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mote, P.W.","contributorId":50743,"corporation":false,"usgs":true,"family":"Mote","given":"P.W.","email":"","affiliations":[],"preferred":false,"id":443303,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilkening, J.L.","contributorId":59259,"corporation":false,"usgs":true,"family":"Wilkening","given":"J.L.","affiliations":[],"preferred":false,"id":443304,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70033947,"text":"70033947 - 2010 - Exploring the limits of identifying sub-pixel thermal features using ASTER TIR data","interactions":[],"lastModifiedDate":"2019-02-18T12:29:56","indexId":"70033947","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Exploring the limits of identifying sub-pixel thermal features using ASTER TIR data","docAbstract":"Understanding the characteristics of volcanic thermal emissions and how they change with time is important for forecasting and monitoring volcanic activity and potential hazards. Satellite instruments view volcanic thermal features across the globe at various temporal and spatial resolutions. Thermal features that may be a precursor to a major eruption, or indicative of important changes in an on-going eruption can be subtle, making them challenging to reliably identify with satellite instruments. The goal of this study was to explore the limits of the types and magnitudes of thermal anomalies that could be detected using satellite thermal infrared (TIR) data. Specifically, the characterization of sub-pixel thermal features with a wide range of temperatures is considered using ASTER multispectral TIR data. First, theoretical calculations were made to define a “thermal mixing detection threshold” for ASTER, which quantifies the limits of ASTER's ability to resolve sub-pixel thermal mixing over a range of hot target temperatures and % pixel areas. Then, ASTER TIR data were used to model sub-pixel thermal features at the Yellowstone National Park geothermal area (hot spring pools with temperatures from 40 to 90 °C) and at Mount Erebus Volcano, Antarctica (an active lava lake with temperatures from 200 to 800 °C). Finally, various sources of uncertainty in sub-pixel thermal calculations were quantified for these empirical measurements, including pixel resampling, atmospheric correction, and background temperature and emissivity assumptions.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Volcanology and Geothermal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2009.11.010","issn":"03770273","usgsCitation":"Vaughan, R., Keszthelyi, L., Davies, A., Schneider, D.J., Jaworowski, C., and Heasler, H., 2010, Exploring the limits of identifying sub-pixel thermal features using ASTER TIR data: Journal of Volcanology and Geothermal Research, v. 189, no. 3-4, p. 225-237, https://doi.org/10.1016/j.jvolgeores.2009.11.010.","productDescription":"13 p.","startPage":"225","endPage":"237","numberOfPages":"13","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":242274,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"189","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0e27e4b0c8380cd5330d","contributors":{"authors":[{"text":"Vaughan, R. Greg gvaughan@usgs.gov","contributorId":149412,"corporation":false,"usgs":true,"family":"Vaughan","given":"R. Greg","email":"gvaughan@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":false,"id":443334,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keszthelyi, Laszlo P. 0000-0003-1879-4331 laz@usgs.gov","orcid":"https://orcid.org/0000-0003-1879-4331","contributorId":52802,"corporation":false,"usgs":true,"family":"Keszthelyi","given":"Laszlo P.","email":"laz@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":443332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davies, Ashley G.","contributorId":36827,"corporation":false,"usgs":true,"family":"Davies","given":"Ashley G.","affiliations":[],"preferred":false,"id":443335,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schneider, David J. 0000-0001-9092-1054 djschneider@usgs.gov","orcid":"https://orcid.org/0000-0001-9092-1054","contributorId":633,"corporation":false,"usgs":true,"family":"Schneider","given":"David","email":"djschneider@usgs.gov","middleInitial":"J.","affiliations":[{"id":121,"text":"Alaska Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":443333,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jaworowski, Cheryl","contributorId":175486,"corporation":false,"usgs":false,"family":"Jaworowski","given":"Cheryl","email":"","affiliations":[{"id":27578,"text":"National Park Service (former)","active":true,"usgs":false}],"preferred":false,"id":443336,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Heasler, Henry","contributorId":62683,"corporation":false,"usgs":true,"family":"Heasler","given":"Henry","affiliations":[],"preferred":false,"id":443331,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70033972,"text":"70033972 - 2010 - Decadal-timescale estuarine geomorphic change under future scenarios of climate and sediment supply","interactions":[],"lastModifiedDate":"2018-09-18T09:53:44","indexId":"70033972","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Decadal-timescale estuarine geomorphic change under future scenarios of climate and sediment supply","docAbstract":"Future estuarine geomorphic change, in response to climate change, sea-level rise, and watershed sediment supply, may govern ecological function, navigation, and water quality. We estimated geomorphic changes in Suisun Bay, CA, under four scenarios using a tidal-timescale hydrodynamic/sediment transport model. Computational expense and data needs were reduced using the morphological hydrograph concept and the morphological acceleration factor. The four scenarios included (1) present-day conditions; (2) sea-level rise and freshwater flow changes of 2030; (3) sea-level rise and decreased watershed sediment supply of 2030; and (4) sea-level rise, freshwater flow changes, and decreased watershed sediment supply of 2030. Sea-level rise increased water levels thereby reducing wave-induced bottom shear stress and sediment redistribution during the wind-wave season. Decreased watershed sediment supply reduced net deposition within the estuary, while minor changes in freshwater flow timing and magnitude induced the smallest overall effect. In all future scenarios, net deposition in the entire estuary and in the shallowest areas did not keep pace with sea-level rise, suggesting that intertidal and wetland areas may struggle to maintain elevation. Tidal-timescale simulations using future conditions were also used to infer changes in optical depth: though sea-level rise acts to decrease mean light irradiance, decreased suspended-sediment concentrations increase irradiance, yielding small changes in optical depth. The modeling results also assisted with the development of a dimensionless estuarine geomorphic number representing the ratio of potential sediment import forces to sediment export forces; we found the number to be linearly related to relative geomorphic change in Suisun Bay. The methods implemented here are widely applicable to evaluating future scenarios of estuarine change over decadal timescales. ?? The Author(s) 2009.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Estuaries and Coasts","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s12237-009-9244-y","issn":"15592723","usgsCitation":"Ganju, N., and Schoellhamer, D., 2010, Decadal-timescale estuarine geomorphic change under future scenarios of climate and sediment supply: Estuaries and Coasts, v. 33, no. 1, p. 15-29, https://doi.org/10.1007/s12237-009-9244-y.","startPage":"15","endPage":"29","numberOfPages":"15","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":475812,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-009-9244-y","text":"Publisher Index Page"},{"id":244760,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216862,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12237-009-9244-y"}],"volume":"33","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-12-19","publicationStatus":"PW","scienceBaseUri":"5059fe01e4b0c8380cd4ea75","contributors":{"authors":[{"text":"Ganju, N. K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":64782,"corporation":false,"usgs":true,"family":"Ganju","given":"N. K.","affiliations":[],"preferred":false,"id":443462,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoellhamer, D. H. 0000-0001-9488-7340","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":85624,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"D. H.","affiliations":[],"preferred":false,"id":443463,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70033977,"text":"70033977 - 2010 - Long-term variability in Northern Hemisphere snow cover and associations with warmer winters","interactions":[],"lastModifiedDate":"2012-03-12T17:21:47","indexId":"70033977","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Long-term variability in Northern Hemisphere snow cover and associations with warmer winters","docAbstract":"A monthly snow accumulation and melt model is used with gridded monthly temperature and precipitation data for the Northern Hemisphere to generate time series of March snow-covered area (SCA) for the period 1905 through 2002. The time series of estimated SCA for March is verified by comparison with previously published time series of SCA for the Northern Hemisphere. The time series of estimated Northern Hemisphere March SCA shows a substantial decrease since about 1970, and this decrease corresponds to an increase in mean winter Northern Hemisphere temperature. The increase in winter temperature has caused a decrease in the fraction of precipitation that occurs as snow and an increase in snowmelt for some parts of the Northern Hemisphere, particularly the mid-latitudes, thus reducing snow packs and March SCA. In addition, the increase in winter temperature and the decreases in SCA appear to be associated with a contraction of the circumpolar vortex and a poleward movement of storm tracks, resulting in decreased precipitation (and snow) in the low- to mid-latitudes and an increase in precipitation (and snow) in high latitudes. If Northern Hemisphere winter temperatures continue to warm as they have since the 1970s, then March SCA will likely continue to decrease. ?? 2009 Springer Science+Business Media B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Climatic Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10584-009-9675-2","issn":"01650009","usgsCitation":"McCabe, G., and Wolock, D., 2010, Long-term variability in Northern Hemisphere snow cover and associations with warmer winters: Climatic Change, v. 99, no. 1, p. 141-153, https://doi.org/10.1007/s10584-009-9675-2.","startPage":"141","endPage":"153","numberOfPages":"13","costCenters":[],"links":[{"id":244859,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216957,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10584-009-9675-2"}],"volume":"99","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-09-25","publicationStatus":"PW","scienceBaseUri":"505a49afe4b0c8380cd687f0","contributors":{"authors":[{"text":"McCabe, G.J. 0000-0002-9258-2997","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":12961,"corporation":false,"usgs":true,"family":"McCabe","given":"G.J.","affiliations":[],"preferred":false,"id":443477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolock, D.M. 0000-0002-6209-938X","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":36601,"corporation":false,"usgs":true,"family":"Wolock","given":"D.M.","affiliations":[],"preferred":false,"id":443478,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70034000,"text":"70034000 - 2010 - Silica-rich deposits and hydrated minerals at Gusev Crater, Mars: Vis-NIR spectral characterization and regional mapping","interactions":[],"lastModifiedDate":"2012-03-12T17:21:48","indexId":"70034000","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Silica-rich deposits and hydrated minerals at Gusev Crater, Mars: Vis-NIR spectral characterization and regional mapping","docAbstract":"The Mars Exploration Rover (MER) Spirit has discovered surprisingly high concentrations of amorphous silica in soil and nodular outcrops in the Inner Basin of the Columbia Hills. In Pancam multispectral observations, we find that an absorption feature at the longest Pancam wavelength (1009 nm) appears to be characteristic of these silica-rich materials; however, spectral analyses of amorphous silica suggest that the ???1009 nm spectral feature is not a direct reflection of their silica-rich nature. Based on comparisons with spectral databases, we hypothesize that the presence of H2O or OH, either free (as water ice), adsorbed or bound in a mineral structure, is responsible for the spectral feature observed by Pancam. The Gertrude Weise soil, which is nearly pure opaline silica, may have adsorbed water cold-trapped on mineral grains. The origin of the ???1009 nm Pancam feature observed in the silica-rich nodular outcrops may result from the presence of additional hydrated minerals (specific sulfates, halides, chlorides, sodium silicates, carbonates or borates). Using the ???1009 nm feature with other spectral parameters as a \"hydration signature\" we have mapped the occurrence of hydrated materials along the extent of Spirit's traverse across the Columbia Hills from West Spur to Home Plate (sols 155-1696). We have also mapped this hydration signature across large panoramic images to understand the regional distribution of materials that are spectrally similar to the silica-rich soil and nodular outcrops. Our results suggest that hydrated materials are common in the Columbia Hills. ?? 2009 Elsevier Inc.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Icarus","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.icarus.2009.03.035","issn":"00191035","usgsCitation":"Rice, M., Bell, J., Cloutis, E., Wang, A., Ruff, S.W., Craig, M., Bailey, D., Johnson, J.R., De Souza, P., and Farrand, W.H., 2010, Silica-rich deposits and hydrated minerals at Gusev Crater, Mars: Vis-NIR spectral characterization and regional mapping: Icarus, v. 205, no. 2, p. 375-395, https://doi.org/10.1016/j.icarus.2009.03.035.","startPage":"375","endPage":"395","numberOfPages":"21","costCenters":[],"links":[{"id":244731,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216835,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.icarus.2009.03.035"}],"volume":"205","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8f33e4b08c986b318db3","contributors":{"authors":[{"text":"Rice, M.S.","contributorId":105027,"corporation":false,"usgs":true,"family":"Rice","given":"M.S.","affiliations":[],"preferred":false,"id":443593,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bell, J.F. III","contributorId":97612,"corporation":false,"usgs":true,"family":"Bell","given":"J.F.","suffix":"III","email":"","affiliations":[],"preferred":false,"id":443592,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cloutis, E.A.","contributorId":37880,"corporation":false,"usgs":true,"family":"Cloutis","given":"E.A.","email":"","affiliations":[],"preferred":false,"id":443584,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, A.","contributorId":46735,"corporation":false,"usgs":true,"family":"Wang","given":"A.","email":"","affiliations":[],"preferred":false,"id":443585,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ruff, S. W.","contributorId":63136,"corporation":false,"usgs":false,"family":"Ruff","given":"S.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":443586,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Craig, M.A.","contributorId":90569,"corporation":false,"usgs":true,"family":"Craig","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":443591,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bailey, D.T.","contributorId":66095,"corporation":false,"usgs":true,"family":"Bailey","given":"D.T.","email":"","affiliations":[],"preferred":false,"id":443588,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Johnson, J. R.","contributorId":69278,"corporation":false,"usgs":true,"family":"Johnson","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":443589,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"De Souza, P.A. Jr.","contributorId":74927,"corporation":false,"usgs":true,"family":"De Souza","given":"P.A.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":443590,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Farrand, W. H.","contributorId":64372,"corporation":false,"usgs":true,"family":"Farrand","given":"W.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":443587,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70034001,"text":"70034001 - 2010 - Probable causes of increasing brucellosis in free-ranging elk of the Greater Yellowstone Ecosystem","interactions":[],"lastModifiedDate":"2018-10-20T10:11:21","indexId":"70034001","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Probable causes of increasing brucellosis in free-ranging elk of the Greater Yellowstone Ecosystem","docAbstract":"While many wildlife species are threatened, some populations have recovered from previous overexploitation, and data linking these population increases with disease dynamics are limited. We present data suggesting that free-ranging elk (Cervus elaphus) are a maintenance host for Brucella abortus in new areas of the Greater Yellowstone Ecosystem (GYE). Brucellosis seroprevalence in free-ranging elk increased from 0-7% in 1991-1992 to 8-20% in 2006-2007 in four of six herd units around the GYE. These levels of brucellosis are comparable to some herd units where elk are artificially aggregated on supplemental feeding grounds. There are several possible mechanisms for this increase that we evaluated using statistical and population modeling approaches. Simulations of an age-structured population model suggest that the observed levels of seroprevalence are unlikely to be sustained by dispersal from supplemental feeding areas with relatively high seroprevalence or an older age structure. Increases in brucellosis seroprevalence and the total elk population size in areas with feeding grounds have not been statistically detectable. Meanwhile, the rate of seroprevalence increase outside the feeding grounds was related to the population size and density of each herd unit. Therefore, the data suggest that enhanced elk-to-elk transmission in free-ranging populations may be occurring due to larger winter elk aggregations. Elk populations inside and outside of the GYE that traditionally did not maintain brucellosis may now be at risk due to recent population increases. In particular, some neighboring populations of Montana elk were 5-9 times larger in 2007 than in the 1970s, with some aggregations comparable to the Wyoming feeding-ground populations. Addressing the unintended consequences of these increasing populations is complicated by limited hunter access to private lands, which places many ungulate populations out of administrative control. Agency-landowner hunting access partnerships and the protection of large predators are two management strategies that may be used to target high ungulate densities in private refuges and reduce the current and future burden of disease.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1890/08-2062.1","issn":"10510761","usgsCitation":"Cross, P.C., Cole, E., Dobson, A.P., Edwards, W., Hamlin, K., Luikart, G., Middleton, A., Scurlock, B., and White, P., 2010, Probable causes of increasing brucellosis in free-ranging elk of the Greater Yellowstone Ecosystem: Ecological Applications, v. 20, no. 1, p. 278-288, https://doi.org/10.1890/08-2062.1.","productDescription":"11 p.","startPage":"278","endPage":"288","numberOfPages":"11","costCenters":[{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":498901,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/08-2062.1","text":"Publisher Index Page"},{"id":216863,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/08-2062.1"},{"id":244761,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"20","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a8cc0e4b0c8380cd7e881","contributors":{"authors":[{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":443600,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cole, E.K.","contributorId":9087,"corporation":false,"usgs":true,"family":"Cole","given":"E.K.","email":"","affiliations":[],"preferred":false,"id":443594,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dobson, A. P.","contributorId":9992,"corporation":false,"usgs":false,"family":"Dobson","given":"A.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":443595,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edwards, W.H.","contributorId":43718,"corporation":false,"usgs":true,"family":"Edwards","given":"W.H.","affiliations":[],"preferred":false,"id":443598,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hamlin, K.L.","contributorId":37174,"corporation":false,"usgs":true,"family":"Hamlin","given":"K.L.","email":"","affiliations":[],"preferred":false,"id":443597,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Luikart, G.","contributorId":25515,"corporation":false,"usgs":true,"family":"Luikart","given":"G.","affiliations":[],"preferred":false,"id":443596,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Middleton, A.D.","contributorId":93730,"corporation":false,"usgs":true,"family":"Middleton","given":"A.D.","email":"","affiliations":[],"preferred":false,"id":443602,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Scurlock, B.M.","contributorId":44742,"corporation":false,"usgs":true,"family":"Scurlock","given":"B.M.","affiliations":[],"preferred":false,"id":443599,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"White, P.J.","contributorId":91436,"corporation":false,"usgs":true,"family":"White","given":"P.J.","affiliations":[],"preferred":false,"id":443601,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70034013,"text":"70034013 - 2010 - Population synchrony of a native fish across three Laurentian Great Lakes: Evaluating the effects of dispersal and climate","interactions":[],"lastModifiedDate":"2012-03-12T17:21:45","indexId":"70034013","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Population synchrony of a native fish across three Laurentian Great Lakes: Evaluating the effects of dispersal and climate","docAbstract":"Climate and dispersal are the two most commonly cited mechanisms to explain spatial synchrony among time series of animal populations, and climate is typically most important for fishes. Using data from 1978-2006, we quantified the spatial synchrony in recruitment and population catch-per-unit-effort (CPUE) for bloater (Coregonus hoyi) populations across lakes Superior, Michigan, and Huron. In this natural field experiment, climate was highly synchronous across lakes but the likelihood of dispersal between lakes differed. When data from all lakes were pooled, modified correlograms revealed spatial synchrony to occur up to 800 km for long-term (data not detrended) trends and up to 600 km for short-term (data detrended by the annual rate of change) trends. This large spatial synchrony more than doubles the scale previously observed in freshwater fish populations, and exceeds the scale found in most marine or estuarine populations. When analyzing the data separately for within- and between-lake pairs, spatial synchrony was always observed within lakes, up to 400 or 600 km. Conversely, between-lake synchrony did not occur among short-term trends, and for long-term trends, the scale of synchrony was highly variable. For recruit CPUE, synchrony occurred up to 600 km between both lakes Michigan and Huron (where dispersal was most likely) and lakes Michigan and Superior (where dispersal was least likely), but failed to occur between lakes Huron and Superior (where dispersal likelihood was intermediate). When considering the scale of putative bloater dispersal and genetic information from previous studies, we concluded that dispersal was likely underlying within-lake synchrony but climate was more likely underlying between-lake synchrony. The broad scale of synchrony in Great Lakes bloater populations increases their probability of extirpation, a timely message for fishery managers given current low levels of bloater abundance. ?? Springer-Verlag 2009.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Oecologia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s00442-009-1487-6","issn":"00298549","usgsCitation":"Bunnell, D., Adams, J., Gorman, O.T., Madenjian, C., Riley, S., Roseman, E., and Schaeffer, J., 2010, Population synchrony of a native fish across three Laurentian Great Lakes: Evaluating the effects of dispersal and climate: Oecologia, v. 162, no. 3, p. 641-651, https://doi.org/10.1007/s00442-009-1487-6.","startPage":"641","endPage":"651","numberOfPages":"11","costCenters":[],"links":[{"id":216569,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00442-009-1487-6"},{"id":244447,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"162","issue":"3","noUsgsAuthors":false,"publicationDate":"2009-11-04","publicationStatus":"PW","scienceBaseUri":"505a7da5e4b0c8380cd7a099","contributors":{"authors":[{"text":"Bunnell, D.B.","contributorId":8610,"corporation":false,"usgs":true,"family":"Bunnell","given":"D.B.","affiliations":[],"preferred":false,"id":443641,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, J.V.","contributorId":94069,"corporation":false,"usgs":true,"family":"Adams","given":"J.V.","email":"","affiliations":[],"preferred":false,"id":443646,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gorman, O. T.","contributorId":104605,"corporation":false,"usgs":true,"family":"Gorman","given":"O.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":443647,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Madenjian, C.P.","contributorId":64175,"corporation":false,"usgs":true,"family":"Madenjian","given":"C.P.","affiliations":[],"preferred":false,"id":443643,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Riley, S.C.","contributorId":71378,"corporation":false,"usgs":true,"family":"Riley","given":"S.C.","email":"","affiliations":[],"preferred":false,"id":443644,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roseman, E.F. 0000-0002-5315-9838","orcid":"https://orcid.org/0000-0002-5315-9838","contributorId":76531,"corporation":false,"usgs":true,"family":"Roseman","given":"E.F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":443645,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schaeffer, J.S.","contributorId":42688,"corporation":false,"usgs":true,"family":"Schaeffer","given":"J.S.","email":"","affiliations":[],"preferred":false,"id":443642,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70034036,"text":"70034036 - 2010 - Milankovitch-scale correlations between deeply buried microbial populations and biogenic ooze lithology","interactions":[],"lastModifiedDate":"2012-03-12T17:21:48","indexId":"70034036","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Milankovitch-scale correlations between deeply buried microbial populations and biogenic ooze lithology","docAbstract":"The recent discoveries of large, active populations of microbes in the subseafloor of the world's oceans supports the impact of the deep biosphere biota on global biogeochemical cycles and raises important questions concerning the functioning of these extreme environments for life. These investigations demonstrated that subseafloor microbes are unevenly distributed and that cell abundances and metabolic activities are often independent from sediment depths, with increased prokaryotic activity at geochemical and/or sedimentary interfaces. In this study we demonstrate that microbial populations vary at the scale of individual beds in the biogenic oozes of a drill site in the eastern equatorial Pacific (Ocean Drilling Program Leg 201, Site 1226). We relate bedding-scale changes in biogenic ooze sediment composition to organic carbon (OC) and microbial cell concentrations using high-resolution color reflectance data as proxy for lithology. Our analyses demonstrate that microbial concentrations are an order of magnitude higher in the more organic-rich diatom oozes than in the nannofossil oozes. The variations mimic small-scale variations in diatom abundance and OC, indicating that the modern distribution of microbial biomass is ultimately controlled by Milankovitch-frequency variations in past oceanographic conditions. ?? 2010 Geological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1130/G30207.1","issn":"00917613","usgsCitation":"Aiello, I., and Bekins, B., 2010, Milankovitch-scale correlations between deeply buried microbial populations and biogenic ooze lithology: Geology, v. 38, no. 1, p. 79-82, https://doi.org/10.1130/G30207.1.","startPage":"79","endPage":"82","numberOfPages":"4","costCenters":[],"links":[{"id":216866,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G30207.1"},{"id":244764,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a572ce4b0c8380cd6dadd","contributors":{"authors":[{"text":"Aiello, I.W.","contributorId":39993,"corporation":false,"usgs":true,"family":"Aiello","given":"I.W.","email":"","affiliations":[],"preferred":false,"id":443762,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bekins, B.A.","contributorId":98309,"corporation":false,"usgs":true,"family":"Bekins","given":"B.A.","email":"","affiliations":[],"preferred":false,"id":443763,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70034057,"text":"70034057 - 2010 - Response of benthic macroinvertebrate communities to highway construction in an Appalachian watershed","interactions":[],"lastModifiedDate":"2012-03-12T17:21:44","indexId":"70034057","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Response of benthic macroinvertebrate communities to highway construction in an Appalachian watershed","docAbstract":"Highway construction in mountainous areas can result in sedimentation of streams, negatively impacting stream habitat, water quality, and biotic communities. We assessed the impacts of construction of a segment of Corridor H, a four-lane highway, in the Lost River watershed, West Virginia, by monitoring benthic macroinvertebrate communities and water quality, before, during, and after highway construction and prior to highway use at upstream and downstream sites from 1997 through 2007. Data analysis of temporal impacts of highway construction followed a Before-After-Control-Impact (BACI) study design. Highway construction impacts included an increase in stream sedimentation during the construction phase. This was indicated by an increase in turbidity and total suspended solids. Benthic macroinvertebrate metrics indicated a community more tolerant during and after construction than in the period before construction. The percent of Chironomidae and the Hilsenhoff Biotic Index (HBI) increased, while percent of Ephemeroptera, Plecoptera, and Trichoptera (EPT) decreased. Our 10-year study addressed short-term impacts of highway construction and found that impacts were relatively minimal. A recovery of the number of EPT taxa collected after construction indicated that the benthic macroinvertebrate community may be recovering from impacts of highway construction. However, this study only addressed a period of 3 years before, 3 years during, and 4 years post construction. Inferences cannot be made concerning the long-term impacts of the highway, highway traffic, runoff, and other factors associated with highway use. Continual monitoring of the watershed is necessary to determine if the highway has a continual impact on stream habitat, water quality, and biotic integrity. ?? 2010 Springer Science+Business Media B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrobiologia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10750-009-0070-9","issn":"00188158","usgsCitation":"Hedrick, L.B., Welsh, S., Anderson, J.T., Lin, L., Chen, Y., and Wei, X., 2010, Response of benthic macroinvertebrate communities to highway construction in an Appalachian watershed: Hydrobiologia, v. 641, no. 1, p. 115-131, https://doi.org/10.1007/s10750-009-0070-9.","startPage":"115","endPage":"131","numberOfPages":"17","costCenters":[],"links":[{"id":216687,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10750-009-0070-9"},{"id":244572,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"641","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-01-12","publicationStatus":"PW","scienceBaseUri":"505aaa35e4b0c8380cd861e4","contributors":{"authors":[{"text":"Hedrick, Lara B.","contributorId":50346,"corporation":false,"usgs":true,"family":"Hedrick","given":"Lara","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":443852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welsh, S.A. 0000-0003-0362-054X","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":10191,"corporation":false,"usgs":true,"family":"Welsh","given":"S.A.","affiliations":[],"preferred":false,"id":443850,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, James T.","contributorId":28071,"corporation":false,"usgs":false,"family":"Anderson","given":"James","email":"","middleInitial":"T.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":443851,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lin, L.-S.","contributorId":66093,"corporation":false,"usgs":true,"family":"Lin","given":"L.-S.","email":"","affiliations":[],"preferred":false,"id":443854,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chen, Y.","contributorId":7019,"corporation":false,"usgs":true,"family":"Chen","given":"Y.","email":"","affiliations":[],"preferred":false,"id":443849,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wei, X.","contributorId":50636,"corporation":false,"usgs":true,"family":"Wei","given":"X.","email":"","affiliations":[],"preferred":false,"id":443853,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}