Terrestrial carbon dynamics influence the contribution of dissolved organic carbon (DOC) to river networks in addition to hydrology. In this study, we use a biogeochemical process model to simulate the lateral transfer of DOC from land to the Arctic Ocean via riverine transport. We estimate that, over the 20th century, the pan-Arctic watershed has contributed, on average, 32 Tg C/yr of DOC to river networks emptying into the Arctic Ocean with most of the DOC coming from the extensive area of boreal deciduous needle-leaved forests and forested wetlands in Eurasian watersheds. We also estimate that the rate of terrestrial DOC loading has been increasing by 0.037 Tg C/yr2 over the 20th century primarily as a result of climate-induced increases in water yield. These increases have been offset by decreases in terrestrial DOC loading caused by wildfires. Other environmental factors (CO2 fertilization, ozone pollution, atmospheric nitrogen deposition, timber harvest, agriculture) are estimated to have relatively small effects on terrestrial DOC loading to Arctic rivers. The effects of the various environmental factors on terrestrial carbon dynamics have both offset and enhanced concurrent effects on hydrology to influence terrestrial DOC loading and may be changing the relative importance of terrestrial carbon dynamics on this carbon flux. Improvements in simulating terrestrial DOC loading to pan-Arctic rivers in the future will require better information on the production and consumption of DOC within the soil profile, the transfer of DOC from land to headwater streams, the spatial distribution of precipitation and its temporal trends, carbon dynamics of larch-dominated ecosystems in eastern Siberia, and the role of industrial organic effluents on carbon budgets of rivers in western Russia.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/11-1050.1","usgsCitation":"Kicklighter, D.W., Hayes, D.J., McClelland, J.W., Peterson, B.J., McGuire, A., and Melillo, J.M., 2013, Insights and issues with simulating terrestrial DOC loading of Arctic river networks: Ecological Applications, v. 23, no. 8, p. 1817-1836, https://doi.org/10.1890/11-1050.1.","productDescription":"20 p.","startPage":"1817","endPage":"1836","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-032239","costCenters":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":473368,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/6466","text":"External Repository"},{"id":282846,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282845,"type":{"id":11,"text":"Document"},"url":"https://www.lter.uaf.edu/pdf/1632_Kicklighter_Hayes_2013.pdf"}],"otherGeospatial":"Arctic","volume":"23","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd62a5e4b0b290850fe513","contributors":{"authors":[{"text":"Kicklighter, David W.","contributorId":48872,"corporation":false,"usgs":false,"family":"Kicklighter","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":464295,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayes, Daniel J.","contributorId":100237,"corporation":false,"usgs":true,"family":"Hayes","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":464299,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McClelland, James W.","contributorId":94905,"corporation":false,"usgs":true,"family":"McClelland","given":"James","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":464298,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterson, Bruce J.","contributorId":62453,"corporation":false,"usgs":true,"family":"Peterson","given":"Bruce","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":464296,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGuire, A. David","contributorId":18494,"corporation":false,"usgs":true,"family":"McGuire","given":"A. David","affiliations":[],"preferred":false,"id":464294,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Melillo, Jerry M.","contributorId":87847,"corporation":false,"usgs":false,"family":"Melillo","given":"Jerry","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":464297,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70154903,"text":"70154903 - 2013 - A computer model to forecast wetland vegetation changes resulting from restoration and protection in coastal Louisiana","interactions":[],"lastModifiedDate":"2015-07-14T11:26:54","indexId":"70154903","displayToPublicDate":"2014-01-01T12:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"A computer model to forecast wetland vegetation changes resulting from restoration and protection in coastal Louisiana","docAbstract":"The coastal wetlands of Louisiana are a unique ecosystem that supports a diversity of wildlife as well as a diverse community of commercial interests of both local and national importance. The state of Louisiana has established a 5-year cycle of scientific investigation to provide up-to-date information to guide future legislation and regulation aimed at preserving this critical ecosystem. Here we report on a model that projects changes in plant community distribution and composition in response to environmental conditions. This model is linked to a suite of other models and requires input from those that simulate the hydrology and morphology of coastal Louisiana. Collectively, these models are used to assess how alternative management plans may affect the wetland ecosystem through explicit spatial modeling of the physical and biological processes affected by proposed modifications to the ecosystem. We have also taken the opportunity to advance the state-of-the-art in wetland plant community modeling by using a model that is more species-based in its description of plant communities instead of one based on aggregated community types such as brackish marsh and saline marsh. The resulting model provides an increased level of ecological detail about how wetland communities are expected to respond. In addition, the output from this model provides critical inputs for estimating the effects of management on higher trophic level species though a more complete description of the shifts in habitat.
","language":"English","publisher":"Coastal Education and Research Foundation, BioOne","doi":"10.2112/SI_67_4","usgsCitation":"Visser, J.M., Duke-Sylvester, S., Carter, J., and Broussard, W.P., 2013, A computer model to forecast wetland vegetation changes resulting from restoration and protection in coastal Louisiana: Journal of Coastal Research, no. 67, p. 51-59, https://doi.org/10.2112/SI_67_4.","productDescription":"9 p.","startPage":"51","endPage":"59","numberOfPages":"9","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-042146","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":305704,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":305597,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.2112/SI_67_4"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.878173828125,\n 29.008140362978157\n ],\n [\n -93.878173828125,\n 30.183121842195515\n ],\n [\n -88.934326171875,\n 30.183121842195515\n ],\n [\n -88.934326171875,\n 29.008140362978157\n ],\n [\n -93.878173828125,\n 29.008140362978157\n ]\n ]\n ]\n }\n }\n ]\n}","issue":"67","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55a632a9e4b0183d66e45cc0","contributors":{"authors":[{"text":"Visser, Jenneke M.","contributorId":90397,"corporation":false,"usgs":true,"family":"Visser","given":"Jenneke","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":564333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duke-Sylvester, Scott M.","contributorId":40661,"corporation":false,"usgs":true,"family":"Duke-Sylvester","given":"Scott M.","affiliations":[],"preferred":false,"id":564332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carter, Jacoby 0000-0003-0110-0284 carterj@usgs.gov","orcid":"https://orcid.org/0000-0003-0110-0284","contributorId":2399,"corporation":false,"usgs":true,"family":"Carter","given":"Jacoby","email":"carterj@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":564330,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Broussard, Whitney P. 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Whilst a growing number of studies have examined how river floods are influenced by climate change, the role of natural modes of interannual climate variability remains poorly understood. We present the first global assessment of the influence of El Niño–Southern Oscillation (ENSO) on annual river floods, defined here as the peak daily discharge in a given year. The analysis was carried out by simulating daily gridded discharges using the WaterGAP model (Water – a Global Assessment and Prognosis), and examining statistical relationships between these discharges and ENSO indices. We found that, over the period 1958–2000, ENSO exerted a significant influence on annual floods in river basins covering over a third of the world's land surface, and that its influence on annual floods has been much greater than its influence on average flows. We show that there are more areas in which annual floods intensify with La Niña and decline with El Niño than vice versa. However, we also found that in many regions the strength of the relationships between ENSO and annual floods have been non-stationary, with either strengthening or weakening trends during the study period. We discuss the implications of these findings for science and management. Given the strong relationships between ENSO and annual floods, we suggest that more research is needed to assess relationships between ENSO and flood impacts (e.g. loss of lives or economic damage). Moreover, we suggest that in those regions where useful relationships exist, this information could be combined with ongoing advances in ENSO prediction research, in order to provide year-to-year probabilistic flood risk forecasts.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrology and Earth System Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"European Geophysical Society","publisherLocation":"Katlenburg-Lindau, Germany","doi":"10.5194/hess-18-47-2014","usgsCitation":"Ward, P.J., Eisner, S., Florke, M., Dettinger, M., and Kummu, M., 2013, Annual flood sensitivities to El Niño-Southern Oscillation at the global scale: Hydrology and Earth System Sciences, v. 18, p. 47-66, https://doi.org/10.5194/hess-18-47-2014.","productDescription":"20 p.","startPage":"47","endPage":"66","numberOfPages":"20","ipdsId":"IP-052126","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":473371,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-18-47-2014","text":"Publisher Index Page"},{"id":295520,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295480,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/hess-18-47-2014"},{"id":295481,"type":{"id":15,"text":"Index Page"},"url":"https://www.hydrol-earth-syst-sci.net/18/47/2014/hess-18-47-2014.html"}],"volume":"18","noUsgsAuthors":false,"publicationDate":"2014-01-06","publicationStatus":"PW","scienceBaseUri":"544775a3e4b0f888a81b82f4","contributors":{"authors":[{"text":"Ward, Philip J.","contributorId":67434,"corporation":false,"usgs":true,"family":"Ward","given":"Philip","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":503551,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eisner, S.","contributorId":48892,"corporation":false,"usgs":true,"family":"Eisner","given":"S.","email":"","affiliations":[],"preferred":false,"id":503550,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Florke, M.","contributorId":29335,"corporation":false,"usgs":true,"family":"Florke","given":"M.","email":"","affiliations":[],"preferred":false,"id":503548,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dettinger, Michael D. 0000-0002-7509-7332","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":8019,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael D.","affiliations":[],"preferred":false,"id":503547,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kummu, M.","contributorId":39711,"corporation":false,"usgs":true,"family":"Kummu","given":"M.","email":"","affiliations":[],"preferred":false,"id":503549,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70157088,"text":"70157088 - 2013 - Hysteresis of unsaturated hydromechanical properties of a silty soil","interactions":[],"lastModifiedDate":"2018-03-08T15:55:01","indexId":"70157088","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2327,"text":"Journal of Geotechnical and Geoenvironmental Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Hysteresis of unsaturated hydromechanical properties of a silty soil","docAbstract":"Laboratory tests to examine hysteresis in the hydrologic and mechanical properties of partially saturated soils were conducted on six intact specimens collected from a landslide-prone area of Alameda County, California. The results reveal that the pore-size distribution parameter remains statistically unchanged between the wetting and drying paths; however, the wetting or drying state has a pronounced influence on the water-entry pressure, the water-filled porosity at zero suction, and the saturated hydraulic conductivity. The suction stress values obtained from the shear-strength tests under both natural moisture and resaturated conditions were mostly bounded by the suction stress characteristic curves (SSCCs) obtained from the hydrologic tests. This finding experimentally confirms that the soil-water retention curve, hydraulic conductivity function, and SSCC are intrinsically related.
","language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/(ASCE)GT.1943-5606.0000786","collaboration":"Prepared in collaboration with Colorado School of Mines","usgsCitation":"Lu, N., Kaya, M., Collins, B.D., and Godt, J.W., 2013, Hysteresis of unsaturated hydromechanical properties of a silty soil: Journal of Geotechnical and Geoenvironmental Engineering, v. 139, no. 3, p. 507-510, https://doi.org/10.1061/(ASCE)GT.1943-5606.0000786.","productDescription":"4 p.","startPage":"507","endPage":"510","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-027412","costCenters":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":307948,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"139","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55f006aae4b0dacf699e9ff7","contributors":{"authors":[{"text":"Lu, Ning","contributorId":191360,"corporation":false,"usgs":false,"family":"Lu","given":"Ning","email":"","affiliations":[{"id":12620,"text":"U.S. Army Corp. of Engineers","active":true,"usgs":false}],"preferred":false,"id":571565,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaya, Murat","contributorId":103576,"corporation":false,"usgs":true,"family":"Kaya","given":"Murat","email":"","affiliations":[],"preferred":false,"id":571564,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collins, Brian D. bcollins@usgs.gov","contributorId":2406,"corporation":false,"usgs":true,"family":"Collins","given":"Brian","email":"bcollins@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":571562,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":571563,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70173622,"text":"70173622 - 2013 - Shifts in controls on the temporal coherence of throughfall chemical flux in Acadia National Park, Maine, USA","interactions":[],"lastModifiedDate":"2016-06-09T15:23:31","indexId":"70173622","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Shifts in controls on the temporal coherence of throughfall chemical flux in Acadia National Park, Maine, USA","docAbstract":"Major ion and mercury (Hg) inputs to terrestrial ecosystems include both wet and dry deposition (total deposition). Estimating total deposition to sensitive receptor sites is hampered by limited information regarding its spatial heterogeneity and seasonality. We used measurements of throughfall flux, which includes atmospheric inputs to forests and the net effects of canopy leaching or uptake, for ten major ions and Hg collected during 35 time periods in 1999–2005 at over 70 sites within Acadia National Park, Maine to (1) quantify coherence in temporal dynamics of seasonal throughfall deposition and (2) examine controls on these patterns at multiple scales. We quantified temporal coherence as the correlation between all possible site pairs for each solute on a seasonal basis. In the summer growing season and autumn, coherence among pairs of sites with similar vegetation was stronger than for site-pairs that differed in vegetation suggesting that interaction with the canopy and leaching of solutes differed in coniferous, deciduous, mixed, and shrub or open canopy sites. The spatial pattern in throughfall hydrologic inputs across Acadia National Park was more variable during the winter snow season, suggesting that snow re-distribution affects net hydrologic input, which consequently affects chemical flux. Sea-salt corrected calcium concentrations identified a shift in air mass sources from maritime in winter to the continental industrial corridor in summer. Our results suggest that the spatial pattern of throughfall hydrologic flux, dominant seasonal air mass source, and relationship with vegetation in winter differ from the spatial pattern of throughfall flux in these solutes in summer and autumn. The coherence approach applied here made clear the strong influence of spatial heterogeneity in throughfall hydrologic inputs and a maritime air mass source on winter patterns of throughfall flux. By contrast, vegetation type was the most important influence on throughfall chemical flux in summer and autumn.
","language":"English","publisher":"Spinger","doi":"10.1007/s10533-013-9884-7","usgsCitation":"Nelson, S.J., Webster, K.E., Loftin, C., and Weathers, K.C., 2013, Shifts in controls on the temporal coherence of throughfall chemical flux in Acadia National Park, Maine, USA: Biogeochemistry, v. 116, no. 1, p. 147-160, https://doi.org/10.1007/s10533-013-9884-7.","productDescription":"14 p.","startPage":"147","endPage":"160","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042115","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323418,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Acadia National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -68.46473693847656,\n 44.215186337858235\n ],\n [\n -68.46473693847656,\n 44.449467536006935\n ],\n [\n -68.17085266113281,\n 44.449467536006935\n ],\n [\n -68.17085266113281,\n 44.215186337858235\n ],\n [\n -68.46473693847656,\n 44.215186337858235\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"116","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-07-05","publicationStatus":"PW","scienceBaseUri":"575a9336e4b04f417c275181","contributors":{"authors":[{"text":"Nelson, Sarah J.","contributorId":167269,"corporation":false,"usgs":false,"family":"Nelson","given":"Sarah","email":"","middleInitial":"J.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":638308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webster, Katherine E.","contributorId":147903,"corporation":false,"usgs":false,"family":"Webster","given":"Katherine","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":638309,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loftin, Cynthia S. 0000-0001-9104-3724 cyndy_loftin@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-3724","contributorId":2167,"corporation":false,"usgs":true,"family":"Loftin","given":"Cynthia S.","email":"cyndy_loftin@usgs.gov","affiliations":[],"preferred":true,"id":637411,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weathers, Kathleen C.","contributorId":58731,"corporation":false,"usgs":true,"family":"Weathers","given":"Kathleen","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":638310,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192544,"text":"70192544 - 2013 - Vascular flora of saline lakes in the southern high plains of Texas and eastern New Mexico","interactions":[],"lastModifiedDate":"2017-10-31T09:24:40","indexId":"70192544","displayToPublicDate":"2013-12-31T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2535,"text":"Journal of the Botanical Research Institute of Texas","active":true,"publicationSubtype":{"id":10}},"title":"Vascular flora of saline lakes in the southern high plains of Texas and eastern New Mexico","docAbstract":"Saline lakes and freshwater playas form the principal surface hydrological feature of the High Plains of the Southern Great Plains. Saline lakes number less than 50 and historically functioned as discharge wetlands with relatively consistent water availability due to the presence of one or more springs. Currently, less than ten saline lakes contain functional springs. A survey of vascular plants at six saline lakes in the Southern High Plains of northwest Texas and one in eastern New Mexico during May and September 2009 resulted in a checklist of 49 species representing 16 families and 40 genera. The four families with the most species were Asteraceae (12), Amaranthaceae (8), Cyperaceae (5), and Poaceae (12). Non-native species (Bromus catharticus, Poa compressa, Polypogon monspeliensis, Sonchus oleraceus, Kochia scoparia, and Tamarix ramosissima) accounted for 10% of the total species recorded. Whereas nearly 350 species of vascular plants have been identified in playas in the Southern High Plains, saline lakes contain a fraction of this species richness. The Southern High Plains saline lake flora is regionally unique, containing taxa not found in playas, with species composition that is more similar to temperate desert wetlands of the Intermountain Region and Gulf Coastal Plain of North America.","language":"English","publisher":"The Botanical Research Institute of Texas","usgsCitation":"Rosen, D.J., Conway, W.C., Haukos, D.A., and Caskey, A.D., 2013, Vascular flora of saline lakes in the southern high plains of Texas and eastern New Mexico: Journal of the Botanical Research Institute of Texas, v. 7, no. 1, p. 595-602.","productDescription":"8 p.","startPage":"595","endPage":"602","ipdsId":"IP-040764","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":347796,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347795,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.jstor.org/stable/24621113"}],"country":"United 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dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":716159,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caskey, Amber D.","contributorId":199096,"corporation":false,"usgs":false,"family":"Caskey","given":"Amber","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":718177,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193778,"text":"70193778 - 2013 - Distance, dams and drift: What structures populations of an endangered, benthic stream fish?","interactions":[],"lastModifiedDate":"2017-11-09T12:55:17","indexId":"70193778","displayToPublicDate":"2013-12-31T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Distance, dams and drift: What structures populations of an endangered, benthic stream fish?","docAbstract":"Spatial population structure plays an important role in species persistence, evolution and conservation. Benthic stream fishes are diverse and frequently imperilled, yet the determinants and spatial scaling of their population structure are understudied. We investigated the range-wide population genetic structure of Roanoke logperch (Percina rex), an endangered, benthic stream fish of the eastern United States. Fish were sampled from 35 sites and analysed at 11 microsatellite DNA loci. Clustering models were used to sort individuals into genetically cohesive groups and thereby estimate the spatial scaling of population structure. We then used Bayesian generalized linear mixed models (BGLMMs) to test alternative hypotheses about the environmental factors most responsible for generating structure, as measured by the differentiation statistic FST. Clustering models delineated seven discrete populations, whose boundaries coincided with agents of fragmentation, including hydroelectric dams and tailwaters. In the absence of hydrological barriers, gene flow was extensive throughout catchments, whereas there was no evidence for contemporary dispersal between catchments across barriers. In the best-supported BGLMM, FST was positively related to the spatial distance and degree of hydrological alteration between sites and negatively related to genetic diversity within sites. Whereas the effect of tailwaters was equivocal, dams strongly influenced differentiation: the effect of a dam on FST was comparable to that of a between-site distance of over 1200 km of unimpounded river. Overall, the effect of distance-mediated dispersal was negligible compared to the combined effects of fragmentation and genetic drift. The contemporary population structure of P. rex comprises a few geographically extensive ‘islands’ that are fragmented by hydroelectric projects. This information clarifies the importance of a catchment-scale perspective on conserving the species and suggests that its recovery may require genetic and/or demographic reconnection of presently isolated populations.
Long-term field studies of the effectiveness and sustainability of decentralized stormwater management are rare. From 2005-2011, we tested an incentive-based approach to citizen participation in stormwater management in the Shepherd Creek catchment, located in Cincinnati, OH, USA. Hydrologic, biological, and water quality data were characterized in a baseline monitoring effort 2005- 2007. Reverse auctions held successively in 2007 and 2008 engaged citizens to voluntarily bid on stormwater control measures (SCMs); and successful bids led to implementation of SCMs, which led to an enhancement of catchment detention capacity. We tested for attributes of sustainability (coconsideration of social, economic, and environmental (hydrologic, soils, aquatic biology) aspects), and summarize lessons-learned. Our results and outcomes provide a basis for planning future field studies that more fully determine the effectiveness of stormwater management in terms of sustainability.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Novatech 2013: international conference on strategies and solutions for integrated and sustainable water management in the city Lyon, France","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Novatech 2013: international conference on strategies and solutions for integrated and sustainable water management in the city Lyon, France","conferenceDate":"June 23-27, 2013","conferenceLocation":"Lyon, France","language":"English","publisher":"Graie","publisherLocation":"Lyon, France","usgsCitation":"Schuster, W., Garmestani, A., Green, O., Rhea, L., Roy, A.H., and Thurston, H., 2013, Catchment-scale stormwater management via economic incentives – An overview and lessons-learned, in Novatech 2013: international conference on strategies and solutions for integrated and sustainable water management in the city Lyon, France, Lyon, France, June 23-27, 2013, 10 p.","productDescription":"10 p.","ipdsId":"IP-042657","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":350063,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350060,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://documents.irevues.inist.fr/handle/2042/51229"}],"country":"United States","state":"Ohio","county":"Hamilton","city":"Cincinnati","otherGeospatial":"Shepherd Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.60030555725096,\n 39.158750456624475\n ],\n [\n -84.5430564880371,\n 39.158750456624475\n ],\n [\n -84.5430564880371,\n 39.197340639237694\n ],\n [\n -84.60030555725096,\n 39.197340639237694\n ],\n [\n -84.60030555725096,\n 39.158750456624475\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a61029be4b06e28e9c2546e","contributors":{"editors":[{"text":"Myers, Baden Robert","contributorId":201397,"corporation":false,"usgs":false,"family":"Myers","given":"Baden","email":"","middleInitial":"Robert","affiliations":[],"preferred":false,"id":725201,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Beecham, Simon","contributorId":95397,"corporation":false,"usgs":true,"family":"Beecham","given":"Simon","affiliations":[],"preferred":false,"id":725202,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Lucke, Terry","contributorId":201398,"corporation":false,"usgs":false,"family":"Lucke","given":"Terry","email":"","affiliations":[],"preferred":false,"id":725203,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Boogaard, Floris","contributorId":201399,"corporation":false,"usgs":false,"family":"Boogaard","given":"Floris","email":"","affiliations":[],"preferred":false,"id":725204,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Schuster, W.","contributorId":59656,"corporation":false,"usgs":true,"family":"Schuster","given":"W.","email":"","affiliations":[],"preferred":false,"id":725211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garmestani, A.S.","contributorId":86882,"corporation":false,"usgs":true,"family":"Garmestani","given":"A.S.","email":"","affiliations":[],"preferred":false,"id":725212,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Green, O.O.","contributorId":201408,"corporation":false,"usgs":false,"family":"Green","given":"O.O.","email":"","affiliations":[],"preferred":false,"id":725213,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rhea, l.K.","contributorId":201409,"corporation":false,"usgs":false,"family":"Rhea","given":"l.K.","email":"","affiliations":[],"preferred":false,"id":725214,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":720425,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thurston, H.W.","contributorId":201410,"corporation":false,"usgs":false,"family":"Thurston","given":"H.W.","email":"","affiliations":[],"preferred":false,"id":725215,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70058836,"text":"70058836 - 2013 - Characterizing response of total suspended solids and total phosphorus loading to weather and watershed characteristics for rainfall and snowmelt events in agricultural watersheds","interactions":[],"lastModifiedDate":"2013-12-17T09:32:07","indexId":"70058836","displayToPublicDate":"2013-12-17T09:20:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing response of total suspended solids and total phosphorus loading to weather and watershed characteristics for rainfall and snowmelt events in agricultural watersheds","docAbstract":"Understanding the response of total suspended solids (TSS) and total phosphorus (TP) to influential weather and watershed variables is critical in the development of sediment and nutrient reduction plans. In this study, rainfall and snowmelt event loadings of TSS and TP were analyzed for eight agricultural watersheds in Wisconsin, with areas ranging from 14 to 110 km2 and having four to twelve years of data available. The data showed that a small number of rainfall and snowmelt runoff events accounted for the majority of total event loading. The largest 10% of the loading events for each watershed accounted for 73–97% of the total TSS load and 64–88% of the total TP load. More than half of the total annual TSS load was transported during a single event for each watershed at least one of the monitored years. Rainfall and snowmelt events were both influential contributors of TSS and TP loading. TSS loading contributions were greater from rainfall events at five watersheds, from snowmelt events at two watersheds, and nearly equal at one watershed. The TP loading contributions were greater from rainfall events at three watersheds, from snowmelt events at two watersheds and nearly equal at three watersheds. Stepwise multivariate regression models for TSS and TP event loadings were developed separately for rainfall and snowmelt runoff events for each individual watershed and for all watersheds combined by using a suite of precipitation, melt, temperature, seasonality, and watershed characteristics as predictors. All individual models and the combined model for rainfall events resulted in two common predictors as most influential for TSS and TP. These included rainfall depth and the antecedent baseflow. Using these two predictors alone resulted in an R2 greater than 0.7 in all but three individual models and 0.61 or greater for all individual models. The combined model yielded an R2 of 0.66 for TSS and 0.59 for TP. Neither the individual nor the combined models were substantially improved by using additional predictors. Snowmelt event models were statistically significant for individual and combined watershed models, but the model fits were not all as good as those for rainfall events (R2 between 0.19 and 0.87). Predictor selection varied from watershed to watershed, and the common variables that were selected were not always selected in the same order. Influential variables were commonly direct measures of moisture in the watershed such as snowmelt, rainfall + snowmelt, and antecedent baseflow, or measures of potential snowmelt volume in the watershed such as air temperature.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"doi":"10.1016/j.jhydrol.2013.09.038","usgsCitation":"Danz, M., Corsi, S., Brooks, W.R., and Bannerman, R.T., 2013, Characterizing response of total suspended solids and total phosphorus loading to weather and watershed characteristics for rainfall and snowmelt events in agricultural watersheds: Journal of Hydrology, v. 507, p. 249-261, https://doi.org/10.1016/j.jhydrol.2013.09.038.","productDescription":"13 p.","startPage":"249","endPage":"261","numberOfPages":"13","ipdsId":"IP-045989","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":280353,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280312,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2013.09.038"}],"country":"United States","state":"Wisconsin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.8894,42.4919 ], [ -92.8894,47.0807 ], [ -86.764,47.0807 ], [ -86.764,42.4919 ], [ -92.8894,42.4919 ] ] ] } } ] }","volume":"507","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52b172bae4b0d9b3252245c6","contributors":{"authors":[{"text":"Danz, Mari E. medanz@usgs.gov","contributorId":3349,"corporation":false,"usgs":true,"family":"Danz","given":"Mari E.","email":"medanz@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487378,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corsi, Steven","contributorId":106002,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":487381,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brooks, Wesley R. wrbrooks@usgs.gov","contributorId":4217,"corporation":false,"usgs":true,"family":"Brooks","given":"Wesley","email":"wrbrooks@usgs.gov","middleInitial":"R.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487379,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bannerman, Roger T. 0000-0001-9221-2905 rbannerman@usgs.gov","orcid":"https://orcid.org/0000-0001-9221-2905","contributorId":5560,"corporation":false,"usgs":true,"family":"Bannerman","given":"Roger","email":"rbannerman@usgs.gov","middleInitial":"T.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487380,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70058768,"text":"70058768 - 2013 - Assessing grain-size correspondence between flow and deposits of controlled floods in the Colorado River, USA","interactions":[],"lastModifiedDate":"2013-12-17T09:18:34","indexId":"70058768","displayToPublicDate":"2013-12-17T09:13:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2451,"text":"Journal of Sedimentary Research","onlineIssn":"1938-3681","printIssn":"1527-1404","active":true,"publicationSubtype":{"id":10}},"title":"Assessing grain-size correspondence between flow and deposits of controlled floods in the Colorado River, USA","docAbstract":"Flood-deposited sediment has been used to decipher environmental parameters such as variability in watershed sediment supply, paleoflood hydrology, and channel morphology. It is not well known, however, how accurately the deposits reflect sedimentary processes within the flow, and hence what sampling intensity is needed to decipher records of recent or long-past conditions. We examine these problems using deposits from dam-regulated floods in the Colorado River corridor through Marble Canyon–Grand Canyon, Arizona, U.S.A., in which steady-peaked floods represent a simple end-member case. For these simple floods, most deposits show inverse grading that reflects coarsening suspended sediment (a result of fine-sediment-supply limitation), but there is enough eddy-scale variability that some profiles show normal grading that did not reflect grain-size evolution in the flow as a whole. To infer systemwide grain-size evolution in modern or ancient depositional systems requires sampling enough deposit profiles that the standard error of the mean of grain-size-change measurements becomes small relative to the magnitude of observed changes. For simple, steady-peaked floods, 5–10 profiles or fewer may suffice to characterize grain-size trends robustly, but many more samples may be needed from deposits with greater variability in their grain-size evolution.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Sedimentary Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society for Sedimentary Geology","doi":"10.2110/jsr.2013.79","usgsCitation":"Draut, A., and Rubin, D.M., 2013, Assessing grain-size correspondence between flow and deposits of controlled floods in the Colorado River, USA: Journal of Sedimentary Research, v. 83, no. 11, p. 962-973, https://doi.org/10.2110/jsr.2013.79.","productDescription":"12 p.","startPage":"962","endPage":"973","numberOfPages":"12","ipdsId":"IP-051517","costCenters":[],"links":[{"id":280352,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280351,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2110/jsr.2013.79"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.82,32.49 ], [ -114.82,40.43 ], [ -105.82,40.43 ], [ -105.82,32.49 ], [ -114.82,32.49 ] ] ] } } ] }","volume":"83","issue":"11","noUsgsAuthors":false,"publicationDate":"2013-11-01","publicationStatus":"PW","scienceBaseUri":"52b172b8e4b0d9b3252245bc","contributors":{"authors":[{"text":"Draut, Amy","contributorId":18792,"corporation":false,"usgs":true,"family":"Draut","given":"Amy","affiliations":[],"preferred":false,"id":487368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rubin, David M. 0000-0003-1169-1452 drubin@usgs.gov","orcid":"https://orcid.org/0000-0003-1169-1452","contributorId":3159,"corporation":false,"usgs":true,"family":"Rubin","given":"David","email":"drubin@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":487367,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70049017,"text":"sir20135181 - 2013 - Hydrology and water quality of Shell Lake, Washburn County, Wisconsin, with special emphasis on the effects of diversion and changes in water level on the water quality of a shallow terminal lake","interactions":[],"lastModifiedDate":"2018-02-06T12:17:35","indexId":"sir20135181","displayToPublicDate":"2013-12-16T11:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5181","title":"Hydrology and water quality of Shell Lake, Washburn County, Wisconsin, with special emphasis on the effects of diversion and changes in water level on the water quality of a shallow terminal lake","docAbstract":"Shell Lake is a relatively shallow terminal lake (tributaries but no outlets) in northwestern Wisconsin that has experienced approximately 10 feet (ft) of water-level fluctuation over more than 70 years of record and extensive flooding of nearshore areas starting in the early 2000s. The City of Shell Lake (City) received a permit from the Wisconsin Department of Natural Resources in 2002 to divert water from the lake to a nearby river in order to lower water levels and reduce flooding. Previous studies suggested that water-level fluctuations were driven by long-term cycles in precipitation, evaporation, and runoff, although questions about the lake’s connection with the groundwater system remained. The permit required that the City evaluate assumptions about lake/groundwater interactions made in previous studies and evaluate the effects of the water diversion on water levels in Shell Lake and other nearby lakes. Therefore, a cooperative study between the City and U.S. Geological Survey (USGS) was initiated to improve the understanding of the hydrogeology of the area and evaluate potential effects of the diversion on water levels in Shell Lake, the surrounding groundwater system, and nearby lakes. Concerns over deteriorating water quality in the lake, possibly associated with changes in water level, prompted an additional cooperative project between the City and the USGS to evaluate efeffects of changes in nutrient loading associated with changes in water levels on the water quality of Shell Lake. Numerical models were used to evaluate how the hydrology and water quality responded to diversion of water from the lake and historical changes in the watershed. The groundwater-flow model MODFLOW was used to simulate groundwater movement in the area around Shell Lake, including groundwater/surface-water interactions. Simulated results from the MODFLOW model indicate that groundwater flows generally northward in the area around Shell Lake, with flow locally converging toward the lake. Total groundwater inflow to Shell Lake is small (approximately 5 percent of the water budget) compared with water entering the lake from precipitation (83 percent) and surface-water runoff (13 percent). The MODFLOW model also was used to simulate average annual hydrologic conditions from 1949 to 2009, including effects of the removal of 3 billion gallons of water during 2003–5. The maximum decline in simulated average annual water levels for Shell Lake due to the diversion alone was 3.3 ft at the end of the diversion process in 2005. Model simulations also indicate that although water level continued to decline through 2009 in response to local weather patterns (local drought), the effects of the diversion decreased after the diversion ceased; that is, after 4 years of recovery (2006–9), drawdown attributable to the diversion alone decreased by about 0.6 ft because of increased groundwater inflow and decreased lake-water outflow to groundwater caused by the artificially lower lake level. A delayed response in drawdown of less than 0.5 ft was transmitted through the groundwater-flow system to upgradient lakes. This relatively small effect on upgradient lakes is attributed in part to extensive layers of shallow clay that limit lake/groundwater interaction in the area. Data collected in the lake indicated that Shell Lake is polymictic (characterized by frequent deep mixing) and that its productivity is limited by the amount of phosphorus in the lake. The lake was typically classified as oligotrophic-mesotrophic in June, mesotrophic in July, and mesotrophic-eutrophic in August. In polymictic lakes like Shell Lake, phosphorus released from the sediments is not trapped near the bottom of the lake but is intermittently released to the shallow water, resulting in deteriorating water quality as summer progresses. Because the productivity of Shell Lake is limited by phosphorus, the sources of phosphorus to the lake were quantified, and the response in water quality to changes in phosphorus inputs were evaluated by means of eutrophication models. During 2009, the total input of phosphorus to Shell Lake was 1,730 pounds (lb), of which 1,320 lb came from external sources (76 percent) and 414 lb came from internal loading from sediments in the lake (24 percent). The largest external source was from surface-water runoff, which delivered about 52 percent of the total phosphorus load compared with about 13 percent of the water input. The second largest source was from precipitation (wetfall and dryfall), which delivered 19 percent of the load compared to about 83 percent of the water input. Contributions from septic systems and groundwater accounted for about 3 and 2 percent, respectively. Increased runoff raises water levels in the lake but does not necessarily increase phosphorus loading because phosphorus concentrations in the tributaries decline during increased flow, possibly because of shorter retention times in upstream wetlands. Phosphorus loading to the lake in 2009 represented what occurred after a series of dry years; therefore, this information was combined with data from 2011, a wet year, to estimate phosphorus loading during a range of hydrologic conditions by estimating loading from each component of the phosphorus budget for each year from 1949 to 2011. Comparisons of historical water-quality records with historical water levels and applications of a hydrodynamic model (Dynamic Lake Model, DLM) and empirical eutrophication models were used to understand how changes in water level and the coinciding changes in phosphorus loading affect the water quality of Shell Lake. DLM simulations indicate that large changes in water level (approximately 10 ft) affect the persistence of stratification in the lake. During periods with low water levels, the lake is a well-mixed, polymictic system, with water quality degrading slightly as summer progresses. During periods with high water levels, the lake is more stratified, and phosphorus from internal loading is trapped in the hypolimnion and released later in summer, which results in more extreme seasonality in water quality and better clarity in early summer. Results of eutrophication model simulations using a range in external phosphorus inputs illustrate how water quality in Shell Lake (phosphorus and chlorophyll a concentrations and Secchi depths) responds to changes in external phosphorus loading. Results indicate that a 50-percent reduction in external loading from that measured in 2009 would be required to change phosphorus concentrations from 0.018 milligram per liter (mg/L) (measured in 2009) to 0.012 mg/L (estimated for the mid-1800s from analysis of diatoms in sediment cores). Such reductions in phosphorus loading cannot be accomplished by targeting septic systems or internal loading alone because septic systems contribute only about 3 percent of the phosphorus input to the lake, and internal loading from the sediments of Shell Lake contributes only about 25 percent of phosphorus input. Complete elimination of phosphorus from septic systems and internal loading would decrease the phosphorus concentrations in the lake by 0.003–0.004 mg/L. Therefore, reducing phosphorus concentration in the lake more than by 0.004 mg/L requires decreasing phosphorus loading from surface-water contributions, primarily runoff to the lake. Reconstructed changes in water quality from 1860 to 2010, based on changes in the diatom communities archived in the sediments and eutrophication model simulations, suggest that anthropogenic changes in the watershed (sawmill construction in 1881; the establishment of the village of Shell Lake; and land-use changes in the 1920s, including increased agriculture) had a much larger effect on water quality than the natural changes associated with fluctuations in water level. Although the effects of natural changes in water level on water quality appear to be small, changes in water level do have a modest effect on water quality, primarily manifested as small improvements during higher water levels. Fluctuations in water level, however, have a larger effect on the seasonality of water-quality patterns, with better water quality, especially increased Secchi depths, in early summer during years with high water levels.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135181","collaboration":"In cooperation with the City of Shell Lake, Wisconsin","usgsCitation":"Juckem, P.F., and Robertson, D.M., 2013, Hydrology and water quality of Shell Lake, Washburn County, Wisconsin, with special emphasis on the effects of diversion and changes in water level on the water quality of a shallow terminal lake: U.S. Geological Survey Scientific Investigations Report 2013-5181, Report: x, 77 p.; Appendix 1: PDF file; Appendix 2: PDF file, https://doi.org/10.3133/sir20135181.","productDescription":"Report: x, 77 p.; Appendix 1: PDF file; Appendix 2: PDF file","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-045912","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":280323,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135181.jpg"},{"id":280321,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5181/pdf/sir2013-5181_appendix1.pdf"},{"id":280322,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5181/pdf/sir2013-5181_appendix2.pdf"},{"id":280320,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5181/pdf/sir2013-5181.pdf"},{"id":280319,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5181/"}],"country":"United States","state":"Wisconsin","county":"Washburn County","otherGeospatial":"Shell Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.94286346435547,\n 45.75506798173109\n ],\n [\n -91.86355590820312,\n 45.75530752680575\n ],\n [\n -91.86424255371094,\n 45.70881653205482\n ],\n [\n -91.89960479736327,\n 45.7066587939899\n ],\n [\n -91.9068145751953,\n 45.70929601809127\n ],\n [\n -91.94252014160156,\n 45.70953575956707\n ],\n [\n -91.94286346435547,\n 45.75506798173109\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52b0211fe4b0242fceec8584","contributors":{"authors":[{"text":"Juckem, Paul F. 0000-0002-3613-1761 pfjuckem@usgs.gov","orcid":"https://orcid.org/0000-0002-3613-1761","contributorId":1905,"corporation":false,"usgs":true,"family":"Juckem","given":"Paul","email":"pfjuckem@usgs.gov","middleInitial":"F.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486030,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70125307,"text":"70125307 - 2013 - Comparative microhabitat characteristics at oviposition sites of the California red-legged frog (Rana draytonii)","interactions":[],"lastModifiedDate":"2016-09-26T15:05:12","indexId":"70125307","displayToPublicDate":"2013-12-11T09:56:41","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"title":"Comparative microhabitat characteristics at oviposition sites of the California red-legged frog (Rana draytonii)","docAbstract":"We studied the microhabitat characteristics of 747 egg masses of the federally-threatened Rana draytonii (California red-legged frog) at eight sites in California. our study showed that a broad range of aquatic habitats are utilized by ovipositing R. draytonii, including sites with perennial and ephemeral water sources, natural and constructed wetlands, lentic and lotic hydrology, and sites surrounded by protected lands and nested within modified urban areas. We recorded 45 different egg mass attachment types, although the use of only a few types was common at each site. These attachment types ranged from branches and roots of riparian trees, emergent and submergent wetland vegetation, flooded upland grassland/ruderal vegetation, and debris. eggs were deposited in relatively shallow water (mean 39.7 cm) when compared to maximum site depths. We found that most frogs in artificial pond, natural creek, and artificial channel habitats deposited egg masses within one meter of the shore, while egg masses in a seasonal marsh averaged 27.3 m from the shore due to extensive emergent vegetation. Rana draytonii appeared to delay breeding in lotic habitats and in more inland sites compared to lentic habitats and coastal sites. eggs occurred as early as mid-december at a coastal artificial pond and as late as mid-April in an inland natural creek. We speculate that this delay in breeding may represent a method of avoiding high-flow events and/or freezing temperatures. Understanding the factors related to the reproductive needs of this species can contribute to creating, managing, or preserving appropriate habitat, and promoting species recovery.","language":"English","publisher":"Partners in Amphibian and Reptile Conservation","publisherLocation":"Texarkana, TX","usgsCitation":"Alvarez, J.A., Cook, D.G., Yee, J.L., van Hattem, M.G., Fong, D.R., and Fisher, R.N., 2013, Comparative microhabitat characteristics at oviposition sites of the California red-legged frog (Rana draytonii): Herpetological Conservation and Biology, v. 8, no. 3, p. 539-551.","productDescription":"13 p.","startPage":"539","endPage":"551","numberOfPages":"13","ipdsId":"IP-051239","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":293903,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":328988,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.herpconbio.org/contents_vol8_issue3.html"}],"volume":"8","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54195129e4b091c7ffc8e615","contributors":{"authors":[{"text":"Alvarez, Jeff A.","contributorId":102404,"corporation":false,"usgs":true,"family":"Alvarez","given":"Jeff","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":501214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cook, David G.","contributorId":48921,"corporation":false,"usgs":true,"family":"Cook","given":"David","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":501211,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yee, Julie L. 0000-0003-1782-157X julie_yee@usgs.gov","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":3246,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","email":"julie_yee@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501210,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"van Hattem, Michael G.","contributorId":67022,"corporation":false,"usgs":true,"family":"van Hattem","given":"Michael","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":501213,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fong, Darren R.","contributorId":50833,"corporation":false,"usgs":true,"family":"Fong","given":"Darren","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":501212,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501209,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70055882,"text":"sir20135212 - 2013 - Streamflow monitoring and statistics for development of water rights claims for Wild and Scenic Rivers, Owyhee Canyonlands Wilderness, Idaho, 2012","interactions":[],"lastModifiedDate":"2013-12-05T09:17:52","indexId":"sir20135212","displayToPublicDate":"2013-12-05T09:02:11","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5212","title":"Streamflow monitoring and statistics for development of water rights claims for Wild and Scenic Rivers, Owyhee Canyonlands Wilderness, Idaho, 2012","docAbstract":"The U.S. Geological Survey, in cooperation with the Bureau of Land Management (BLM), collected streamflow data in 2012 and estimated streamflow statistics for stream segments designated \"Wild,\" \"Scenic,\" or \"Recreational\" under the National Wild and Scenic Rivers System in the Owyhee Canyonlands Wilderness in southwestern Idaho. The streamflow statistics were used by BLM to develop and file a draft, federal reserved water right claim in autumn 2012 to protect federally designated \"outstanding remarkable values\" in the stream segments. BLM determined that the daily mean streamflow equaled or exceeded 20 and 80 percent of the time during bimonthly periods (two periods per month) and the bankfull streamflow are important streamflow thresholds for maintaining outstanding remarkable values. Prior to this study, streamflow statistics estimated using available datasets and tools for the Owyhee Canyonlands Wilderness were inaccurate for use in the water rights claim. Streamflow measurements were made at varying intervals during February–September 2012 at 14 monitoring sites; 2 of the monitoring sites were equipped with telemetered streamgaging equipment. Synthetic streamflow records were created for 11 of the 14 monitoring sites using a partial‑record method or a drainage-area-ratio method. Streamflow records were obtained directly from an operating, long-term streamgage at one monitoring site, and from discontinued streamgages at two monitoring sites. For 10 sites analyzed using the partial-record method, discrete measurements were related to daily mean streamflow at a nearby, telemetered “index” streamgage. Resulting regression equations were used to estimate daily mean and annual peak streamflow at the monitoring sites during the full period of record for the index sites. A synthetic streamflow record for Sheep Creek was developed using a drainage-area-ratio method, because measured streamflows did not relate well to any index site to allow use of the partial-record method. The synthetic and actual daily mean streamflow records were used to estimate daily mean streamflow that was exceeded 80, 50, and 20 percent of the time (80-, 50-, and 20-percent exceedances) for bimonthly and annual periods. Bankfull streamflow statistics were calculated by fitting the synthetic and actual annual peak streamflow records to a log Pearson Type III distribution using Bulletin 17B guidelines in the U.S. Geological Survey PeakFQ program. The coefficients of determination (R2) for the regressions between the monitoring and index sites ranged from 0.74 for Wickahoney Creek to 0.98 for the West Fork Bruneau River and Deep Creek. Confidence in computed streamflow statistics is highest among other sites for the East Fork Owyhee River and the West Fork Bruneau River on the basis of regression statistics, visual fit of the related data, and the range and number of streamflow measurements. Streamflow statistics for sites with the greatest uncertainty included Big Jacks, Little Jacks, Cottonwood, Wickahoney, and Sheep Creeks. The uncertainty in computed streamflow statistics was due to a number of factors which included the distance of index sites relative to monitoring sites, relatively low streamflow conditions that occurred during the study, and the limited number and range of streamflow measurements. However, the computed streamflow statistics are considered the best possible estimates given available datasets in the remote study area. Streamflow measurements over a wider range of hydrologic and climatic conditions would improve the relations between streamflow characteristics at monitoring and index sites. Additionally, field surveys are needed to verify if the streamflows selected for the water rights claims are sufficient for maintaining outstanding remarkable values in the Wild and Scenic rivers included in the study.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135212","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Wood, M.S., and Fosness, R.L., 2013, Streamflow monitoring and statistics for development of water rights claims for Wild and Scenic Rivers, Owyhee Canyonlands Wilderness, Idaho, 2012: U.S. Geological Survey Scientific Investigations Report 2013-5212, vi, 65 p., https://doi.org/10.3133/sir20135212.","productDescription":"vi, 65 p.","numberOfPages":"76","ipdsId":"IP-042211","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":280184,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135212.jpg"},{"id":280183,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5212/pdf/sir20135212.pdf"},{"id":280178,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5212/"}],"datum":"North American Datum of 1983","country":"United States","state":"Idaho;Nevada;Oregon","otherGeospatial":"Owyhee Canyonlands Wilderness","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.5,41.5 ], [ -117.5,0.0011111111111111111 ], [ -0.01638888888888889,0.0011111111111111111 ], [ -0.01638888888888889,41.5 ], [ -117.5,41.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52a1a08ae4b02938ec058843","contributors":{"authors":[{"text":"Wood, Molly S. 0000-0002-5184-8306 mswood@usgs.gov","orcid":"https://orcid.org/0000-0002-5184-8306","contributorId":788,"corporation":false,"usgs":true,"family":"Wood","given":"Molly","email":"mswood@usgs.gov","middleInitial":"S.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":486278,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fosness, Ryan L. 0000-0003-4089-2704 rfosness@usgs.gov","orcid":"https://orcid.org/0000-0003-4089-2704","contributorId":2703,"corporation":false,"usgs":true,"family":"Fosness","given":"Ryan","email":"rfosness@usgs.gov","middleInitial":"L.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486279,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70058009,"text":"70058009 - 2013 - Integrated carbon budget models for the Everglades terrestrial-coastal-oceanic gradient: Current status and needs for inter-site comparisons","interactions":[],"lastModifiedDate":"2013-12-03T16:05:03","indexId":"70058009","displayToPublicDate":"2013-12-03T15:54:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2929,"text":"Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Integrated carbon budget models for the Everglades terrestrial-coastal-oceanic gradient: Current status and needs for inter-site comparisons","docAbstract":"Recent studies suggest that coastal ecosystems can bury significantly \nmore C than tropical forests, indicating that continued coastal development and \nexposure to sea level rise and storms will have global biogeochemical consequences. \nThe Florida Coastal Everglades Long Term Ecological Research (FCE LTER) site \nprovides an excellent subtropical system for examining carbon (C) balance because \nof its exposure to historical changes in freshwater distribution and sea level rise and \nits history of significant long-term carbon-cycling studies. FCE LTER scientists used \nnet ecosystem C balance and net ecosystem exchange data to estimate C budgets \nfor riverine mangrove, freshwater marsh, and seagrass meadows, providing insights \ninto the magnitude of C accumulation and lateral aquatic C transport. Rates of net \nC production in the riverine mangrove forest exceeded those reported for many \ntropical systems, including terrestrial forests, but there are considerable uncertainties \naround those estimates due to the high potential for gain and loss of C through \naquatic fluxes. C production was approximately balanced between gain and loss in \nEverglades marshes; however, the contribution of periphyton increases uncertainty \nin these estimates. Moreover, while the approaches used for these initial estimates \nwere informative, a resolved approach for addressing areas of uncertainty is critically \nneeded for coastal wetland ecosystems. Once resolved, these C balance estimates, \nin conjunction with an understanding of drivers and key ecosystem feedbacks, can \ninform cross-system studies of ecosystem response to long-term changes in climate, \nhydrologic management, and other land use along coastlines","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Oceanography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Oceanography Society","doi":"10.5670/oceanog.2013.51","usgsCitation":"Troxler, T.G., Gaiser, E., Barr, J., Fuentes, J.D., Jaffe, R., Childers, D., Collado-Vides, L., Rivera-Monroy, V., Castañeda-Moya, E., Anderson, W., Chambers, R., Chen, M., Coronado-Molina, C., Davis, S., Engel, V.C., Fitz, C., Fourqurean, J., Frankovich, T., Kominoski, J., Madden, C., Malone, S.L., Oberbauer, S.F., Olivas, P., Richards, J., Saunders, C., Schedlbauer, J., Scinto, L.J., Sklar, F., Smith, T.J., Smoak, J.M., Starr, G., Twilley, R., and Whelan, K., 2013, Integrated carbon budget models for the Everglades terrestrial-coastal-oceanic gradient: Current status and needs for inter-site comparisons: Oceanography, v. 26, no. 3, p. 98-107, https://doi.org/10.5670/oceanog.2013.51.","productDescription":"10 p.","startPage":"98","endPage":"107","ipdsId":"IP-049533","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":473403,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5670/oceanog.2013.51","text":"Publisher Index Page"},{"id":280172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280171,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5670/oceanog.2013.51"}],"country":"United States","state":"Florida","otherGeospatial":"Florida Everglades","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { 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Springs issuing from the Edwards aquifer provide habitat for several threatened and endangered species, serve as locations for recreational activities, and supply downstream users. Comal Springs and San Marcos Springs are major discharge points for the Edwards aquifer, and their discharges are used as thresholds in groundwater management strategies. Regional flow paths originating in the western part of the aquifer are generally understood to supply discharge at Comal Springs. In contrast, the hydrologic connection of San Marcos Springs with the regional Edwards aquifer flow system is less understood. During November 2008–December 2010, the U.S. Geological Survey, in cooperation with the San Antonio Water System, collected and analyzed hydrologic and geochemical data from springs, groundwater wells, and streams to gain a better understanding of the origin and characteristics of discharge at San Marcos Springs. During the study, climatic and hydrologic conditions transitioned from exceptional drought to wetter than normal. The wide range of hydrologic conditions that occurred during this study—and corresponding changes in surface-water, groundwater and spring discharge, and in physicochemical properties and geochemistry—provides insight into the origin of the water discharging from San Marcos Springs. Three orifices at San Marcos Springs (Deep, Diversion, and Weissmuller Springs) were selected to be representative of larger springs at the spring complex. Key findings include that discharge at San Marcos Springs was dominated by regional recharge sources and groundwater flow paths and that different orifices of San Marcos Springs respond differently to changes in hydrologic conditions; Deep Spring was less responsive to changes in hydrologic conditions than were Diversion Spring and Weissmuller Spring. Also, San Marcos Springs discharge is influenced by mixing with a component of saline groundwater.
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As a result, past studies assumed that the Everglades provides a classic example of an originally oligotrophic, P-limited wetland that was subsequently degraded by anthropogenic activities. However, a multiproxy sedimentary record indicates that changes in atmospheric circulation patterns produced an abrupt shift in the hydrology and dust deposition in the Everglades over the past 4,600 y. A wet climatic period with high loadings of aeolian dust prevailed before 2800 cal BP (calibrated years before present) when vegetation typical of a deep slough dominated the principal drainage outlet of the Everglades. This dust was apparently transported from distant source areas, such as the Sahara Desert, by tropical storms according to its elemental chemistry and mineralogy. A drier climatic regime with a steep decline in dustfall persisted after 2800 cal BP maintaining sawgrass vegetation at the coring site as tree islands developed nearby (and pine forests covered adjacent uplands). The marked decline in dustfall was related to corresponding declines in sedimentary phosphorus, organic nitrogen, and organic carbon, suggesting that a close relationship existed between dustfall, primary production, and possibly, vegetation patterning before the 20th century. The climatic change after 2800 cal BP was probably produced by a shift in the Bermuda High to the southeast, shunting tropical storms to the south of Florida into the Gulf of Mexico.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Proceedings of the National Academy of Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.1222239110","usgsCitation":"Glaser, P., Hansen, B., Donovan, J., Givnish, T.J., Stricker, C.A., and Volin, J.C., 2013, Holocene dynamics of the Florida Everglades with respect to climate, dustfall, and tropical storms: Proceedings of the National Academy of Sciences, v. 110, no. 43, p. 17211-17216, https://doi.org/10.1073/pnas.1222239110.","productDescription":"6 p.","startPage":"17211","endPage":"17216","numberOfPages":"6","ipdsId":"IP-051057","costCenters":[],"links":[{"id":473406,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1073/pnas.1222239110","text":"External Repository"},{"id":280120,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280105,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1073/pnas.1222239110"}],"country":"United States","state":"Florida","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.4838,25.1137 ], [ -81.4838,26.7819 ], [ -80.2723,26.7819 ], [ -80.2723,25.1137 ], [ -81.4838,25.1137 ] ] ] } } ] }","volume":"110","issue":"43","noUsgsAuthors":false,"publicationDate":"2013-10-07","publicationStatus":"PW","scienceBaseUri":"529dac17e4b0516126f66b54","contributors":{"authors":[{"text":"Glaser, Paul H.","contributorId":6705,"corporation":false,"usgs":true,"family":"Glaser","given":"Paul H.","affiliations":[],"preferred":false,"id":486933,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Barbara C. S.","contributorId":21026,"corporation":false,"usgs":true,"family":"Hansen","given":"Barbara C. S.","affiliations":[],"preferred":false,"id":486934,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Donovan, Joseph J.","contributorId":69056,"corporation":false,"usgs":true,"family":"Donovan","given":"Joseph J.","affiliations":[],"preferred":false,"id":486937,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Givnish, Thomas J.","contributorId":49648,"corporation":false,"usgs":true,"family":"Givnish","given":"Thomas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":486936,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":486932,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Volin, John C.","contributorId":39226,"corporation":false,"usgs":true,"family":"Volin","given":"John","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":486935,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70048992,"text":"sim3275 - 2013 - Flood-inundation maps for the DuPage River from Plainfield to Shorewood, Illinois, 2013","interactions":[],"lastModifiedDate":"2013-12-02T15:52:35","indexId":"sim3275","displayToPublicDate":"2013-12-02T15:29:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3275","title":"Flood-inundation maps for the DuPage River from Plainfield to Shorewood, Illinois, 2013","docAbstract":"Digital flood-inundation maps for a 15.5-mi reach of the DuPage River from Plainfield to Shorewood, Illinois, were created by the U.S. Geological Survey (USGS) in cooperation with the Will County Stormwater Management Planning Committee. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/ depict estimates of the areal extent of flooding corresponding to selected water levels (gage heights or stages) at the USGS streamgage at DuPage River at Shorewood, Illinois (sta. no. 05540500). Current conditions at the USGS streamgage may be obtained on the Internet at http://waterdata.usgs.gov/usa/nwis/uv?05540500. In addition, the information has been provided to the National Weather Service (NWS) for incorporation into their Advanced Hydrologic Prediction Service (AHPS) flood warning system (http://water.weather.gov/ahps/). The NWS forecasts flood hydrographs at many places that are often colocated with USGS streamgages. The NWS-forecasted peak-stage information, also shown on the DuPage River at Shorewood inundation Web site, may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation. In this study, flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The hydraulic model was then used to determine nine water-surface profiles for flood stages at 1-ft intervals referenced to the streamgage datum and ranging from NWS Action stage of 6 ft to the historic crest of 14.0 ft. The simulated water-surface profiles were then combined with a Digital Elevation Model (DEM) (derived from Light Detection And Ranging (LiDAR) data) by using a Geographic Information System (GIS) in order to delineate the area flooded at each water level. These maps, along with information on the Internet regarding current gage height from USGS streamgages and forecasted stream stages from the NWS, provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for postflood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3275","collaboration":"Prepared in cooperation with the Will County Stormwater Management Planning Committee","usgsCitation":"Murphy, E., and Sharpe, J.B., 2013, Flood-inundation maps for the DuPage River from Plainfield to Shorewood, Illinois, 2013: U.S. Geological Survey Scientific Investigations Map 3275, Pamphlet: vi, 8 p.; Map Sheets: 9 jpg files, 9 PDF files 11 inches x 17 inches; Downloads Directory, https://doi.org/10.3133/sim3275.","productDescription":"Pamphlet: vi, 8 p.; Map Sheets: 9 jpg files, 9 PDF files 11 inches x 17 inches; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-043662","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":280119,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3275.jpg"},{"id":280109,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3275/pdf/sim3275_mapsheets_pdf/Sheet02stage7_sim3275.pdf"},{"id":280110,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3275/pdf/sim3275_mapsheets_pdf/Sheet01stage6_sim3275.pdf"},{"id":280107,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3275/"},{"id":280108,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3275/pdf/sim3275_pamphlet.pdf"},{"id":280111,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3275/pdf/sim3275_mapsheets_pdf/Sheet03stage8_sim3275.pdf"},{"id":280112,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3275/pdf/sim3275_mapsheets_pdf/Sheet04stage9_sim3275.pdf"},{"id":280113,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3275/pdf/sim3275_mapsheets_pdf/Sheet05stage10_sim3275.pdf"},{"id":280114,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3275/pdf/sim3275_mapsheets_pdf/Sheet06stage11_sim3275.pdf"},{"id":280115,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3275/pdf/sim3275_mapsheets_pdf/Sheet07stage12_sim3275.pdf"},{"id":280116,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3275/pdf/sim3275_mapsheets_pdf/Sheet08stage13_sim3275.pdf"},{"id":280117,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3275/pdf/sim3275_mapsheets_pdf/Sheet09stage14_sim3275.pdf"},{"id":280118,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3275/Downloads"}],"country":"United States","state":"Illinois","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.233333,41.516667 ], [ -88.233333,41.700000 ], [ -88.150000,41.700000 ], [ -88.150000,41.516667 ], [ -88.233333,41.516667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"529dac16e4b0516126f66b4b","contributors":{"authors":[{"text":"Murphy, Elizabeth A.","contributorId":69660,"corporation":false,"usgs":true,"family":"Murphy","given":"Elizabeth A.","affiliations":[],"preferred":false,"id":485954,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sharpe, Jennifer B. 0000-0002-5192-7848 jbsharpe@usgs.gov","orcid":"https://orcid.org/0000-0002-5192-7848","contributorId":2825,"corporation":false,"usgs":true,"family":"Sharpe","given":"Jennifer","email":"jbsharpe@usgs.gov","middleInitial":"B.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485953,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70046979,"text":"70046979 - 2013 - Urban runoff (URO) process for MODFLOW 2005: simulation of sub-grid scale urban hydrologic processes in Broward County, FL","interactions":[],"lastModifiedDate":"2014-07-07T09:17:50","indexId":"70046979","displayToPublicDate":"2013-12-01T14:12:00","publicationYear":"2013","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Urban runoff (URO) process for MODFLOW 2005: simulation of sub-grid scale urban hydrologic processes in Broward County, FL","docAbstract":"Climate change and sea-level rise could cause substantial changes in urban runoff and flooding in low-lying coast landscapes. A major challenge for local government officials and decision makers is to translate the potential global effects of climate change into actionable and cost-effective adaptation and mitigation strategies at county and municipal scales. A MODFLOW process is used to represent sub-grid scale hydrology in urban settings to help address these issues. Coupled interception, surface water, depression, and unsaturated zone storage are represented. A two-dimensional diffusive wave approximation is used to represent overland flow. Three different options for representing infiltration and recharge are presented. Additional features include structure, barrier, and culvert flow between adjacent cells, specified stage boundaries, critical flow boundaries, source/sink surface-water terms, and the bi-directional runoff to MODFLOW Surface-Water Routing process. Some abilities of the Urban RunOff (URO) process are demonstrated with a synthetic problem using four land uses and varying cell coverages. Precipitation from a hypothetical storm was applied and cell by cell surface-water depth, groundwater level, infiltration rate, and groundwater recharge rate are shown. Results indicate the URO process has the ability to produce time-varying, water-content dependent infiltration and leakage, and successfully interacts with MODFLOW.","largerWorkTitle":"MODFLOW and More 2013: Translating Science into Practice: Conference Proceedings","conferenceTitle":"MODFLOW and More 2013: Translating Science into Practice","conferenceDate":"2013-06-02T00:00:00","conferenceLocation":"Golden, CO","language":"English","publisher":"Integrated GroundWater Modeling Center, Colorado School of Mines","publisherLocation":"Golden, CO","usgsCitation":"Decker, J.D., and Hughes, J., 2013, Urban runoff (URO) process for MODFLOW 2005: simulation of sub-grid scale urban hydrologic processes in Broward County, FL, p. 216-221.","productDescription":"p. 216-221","numberOfPages":"6","ipdsId":"IP-044959","costCenters":[],"links":[{"id":289445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","county":"Broward County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.881233,25.95675 ], [ -80.881233,26.334698 ], [ -80.074729,26.334698 ], [ -80.074729,25.95675 ], [ -80.881233,25.95675 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53bbc187e4b084059e8bff08","contributors":{"authors":[{"text":"Decker, Jeremy D. 0000-0002-0700-515X jdecker@usgs.gov","orcid":"https://orcid.org/0000-0002-0700-515X","contributorId":514,"corporation":false,"usgs":true,"family":"Decker","given":"Jeremy","email":"jdecker@usgs.gov","middleInitial":"D.","affiliations":[{"id":269,"text":"FLWSC-Ft. 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We analyzed five years of soil CO2 fluxes along a wetland gradient that varied in permafrost and soil moisture conditions. We predicted that communities with permafrost would have reduced ecosystem respiration (ER) but greater temperature sensitivity than communities without permafrost. These predictions were partially supported. The colder communities underlain by shallow permafrost had lower ecosystem respiration (ER) than communities with greater active layer thickness. However, the apparent Q10 of monthly averaged ER was similar in most of the vegetation communities except the rich fen, which had smaller Q10 values. Across the gradient there was a negative relationship between water table position and apparent Q10, showing that ER was more temperature sensitive under drier soil conditions. We explored whether root respiration could account for differences in ER between two adjacent communities (sedge marsh and rich fen), which corresponded to the highest and lowest ER, respectively. Despite differences in root respiration rates, roots contributed equally (~40%) to ER in both communities. Also, despite similar plant biomass, ER in the rich fen was positively related to root biomass, while ER in the sedge marsh appeared to be related more to vascular green area. Our results suggest that ER across this wetland gradient was temperature-limited, until conditions became so wet that respiration became oxygen-limited and influenced less by temperature. But even in sites with similar hydrology and thaw depth, ER varied significantly likely based on factors such as soil redox status and vegetation composition.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/8/4/045029","usgsCitation":"McConnell, N.A., Turetsky, M.R., McGuire, A., Kane, E.S., Waldrop, M.P., and Harden, J.W., 2013, Controls on ecosystem and root respiration across a permafrost and wetland gradient in interior Alaska: Environmental Research Letters, v. 8, no. 4, 11 p., https://doi.org/10.1088/1748-9326/8/4/045029.","productDescription":"11 p.","numberOfPages":"11","onlineOnly":"Y","ipdsId":"IP-046002","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":473413,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/8/4/045029","text":"Publisher Index Page"},{"id":281017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281015,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1088/1748-9326/8/4/045029"}],"country":"United States","state":"Alaska","otherGeospatial":"Bonanza Creek Experimental Forest","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -150.369,64.1106 ], [ -150.369,65.5469 ], [ -144.9175,65.5469 ], [ -144.9175,64.1106 ], [ -150.369,64.1106 ] ] ] } } ] }","volume":"8","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-12-02","publicationStatus":"PW","scienceBaseUri":"53cd532be4b0b290850f4fad","contributors":{"authors":[{"text":"McConnell, Nicole A.","contributorId":63312,"corporation":false,"usgs":true,"family":"McConnell","given":"Nicole","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":484772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Turetsky, Merritt R.","contributorId":80980,"corporation":false,"usgs":true,"family":"Turetsky","given":"Merritt","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":484773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, A. David","contributorId":18494,"corporation":false,"usgs":true,"family":"McGuire","given":"A. David","affiliations":[],"preferred":false,"id":484771,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kane, Evan S.","contributorId":11903,"corporation":false,"usgs":true,"family":"Kane","given":"Evan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":484770,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waldrop, Mark P. 0000-0003-1829-7140 mwaldrop@usgs.gov","orcid":"https://orcid.org/0000-0003-1829-7140","contributorId":1599,"corporation":false,"usgs":true,"family":"Waldrop","given":"Mark","email":"mwaldrop@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":484768,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harden, Jennifer W. 0000-0002-6570-8259 jharden@usgs.gov","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":1971,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","email":"jharden@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":484769,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70048366,"text":"70048366 - 2013 - Predicting the effects of proposed Mississippi River diversions on oyster habitat quality; application of an oyster habitat suitability index model","interactions":[],"lastModifiedDate":"2014-01-08T13:08:46","indexId":"70048366","displayToPublicDate":"2013-12-01T13:04:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2455,"text":"Journal of Shellfish Research","active":true,"publicationSubtype":{"id":10}},"title":"Predicting the effects of proposed Mississippi River diversions on oyster habitat quality; application of an oyster habitat suitability index model","docAbstract":"In an attempt to decelerate the rate of coastal erosion and wetland loss, and protect human communities, the state of Louisiana developed its Comprehensive Master Plan for a Sustainable Coast. The master plan proposes a combination of restoration efforts including shoreline protection, marsh creation, sediment diversions, and ridge, barrier island, and hydrological restoration. Coastal restoration projects, particularly the large-scale diversions of fresh water from the Mississippi River, needed to supply sediment to an eroding coast potentially impact oyster populations and oyster habitat. An oyster habitat suitability index model is presented that evaluates the effects of a proposed sediment and freshwater diversion into Lower Breton Sound. Voluminous freshwater, needed to suspend and broadly distribute river sediment, will push optimal salinities for oysters seaward and beyond many of the existing reefs. Implementation and operation of the Lower Breton Sound diversion structure as proposed would render about 6,173 ha of hard bottom immediately east of the Mississippi River unsuitable for the sustained cultivation of oysters. If historical harvests are to be maintained in this region, a massive and unprecedented effort to relocate private leases and restore oyster bottoms would be required. Habitat suitability index model results indicate that the appropriate location for such efforts are to the east and north of the Mississippi River Gulf Outlet.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Shellfish Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"National Shellfisheries Association","doi":"10.2983/035.032.0302","usgsCitation":"Soniat, T.M., Conzelmann, C.P., Byrd, J.D., Roszell, D.P., Bridevaux, J.L., Suir, K.J., and Colley, S.B., 2013, Predicting the effects of proposed Mississippi River diversions on oyster habitat quality; application of an oyster habitat suitability index model: Journal of Shellfish Research, v. 32, no. 3, p. 629-638, https://doi.org/10.2983/035.032.0302.","productDescription":"10 p.","startPage":"629","endPage":"638","numberOfPages":"10","ipdsId":"IP-048870","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":473414,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2983/035.032.0302","text":"Publisher Index Page"},{"id":280732,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280731,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2983/035.032.0302"}],"country":"United States","state":"Louisiana","otherGeospatial":"Breton Sound;Mississippi River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.75,29.0 ], [ -90.75,30.75 ], [ -88.25,30.75 ], [ -88.25,29.0 ], [ -90.75,29.0 ] ] ] } } ] }","volume":"32","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6c66e4b0b290851048ad","contributors":{"authors":[{"text":"Soniat, Thomas M.","contributorId":11109,"corporation":false,"usgs":true,"family":"Soniat","given":"Thomas","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":484437,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conzelmann, Craig P. 0000-0002-4227-8719","orcid":"https://orcid.org/0000-0002-4227-8719","contributorId":92137,"corporation":false,"usgs":true,"family":"Conzelmann","given":"Craig","email":"","middleInitial":"P.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":484440,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Byrd, Jason D. byrdj@usgs.gov","contributorId":4893,"corporation":false,"usgs":true,"family":"Byrd","given":"Jason","email":"byrdj@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":484435,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roszell, Dustin P.","contributorId":16311,"corporation":false,"usgs":true,"family":"Roszell","given":"Dustin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":484438,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bridevaux, Joshua L.","contributorId":103567,"corporation":false,"usgs":true,"family":"Bridevaux","given":"Joshua","email":"","middleInitial":"L.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":484441,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Suir, Kevin J. 0000-0003-1570-9648 suirk@usgs.gov","orcid":"https://orcid.org/0000-0003-1570-9648","contributorId":4894,"corporation":false,"usgs":true,"family":"Suir","given":"Kevin","email":"suirk@usgs.gov","middleInitial":"J.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":484436,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Colley, Susan B.","contributorId":36844,"corporation":false,"usgs":true,"family":"Colley","given":"Susan","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":484439,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70107102,"text":"70107102 - 2013 - Combined impacts of current and future dust deposition and regional warming on Colorado River Basin snow dynamics and hydrology","interactions":[],"lastModifiedDate":"2016-04-12T16:44:36","indexId":"70107102","displayToPublicDate":"2013-12-01T09:04:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Combined impacts of current and future dust deposition and regional warming on Colorado River Basin snow dynamics and hydrology","docAbstract":"The Colorado River provides water to 40 million people in seven western states and two countries and to 5.5 million irrigated acres. The river has long been overallocated. Climate models project runoff losses of 5–20% from the basin by mid-21st century due to human-induced climate change. Recent work has shown that decreased snow albedo from anthropogenic dust loading to the CO mountains shortens the duration of snow cover by several weeks relative to conditions prior to western expansion of the US in the mid-1800s, and advances peak runoff at Lees Ferry, Arizona, by an average of 3 weeks. Increases in evapotranspiration from earlier exposure of soils and germination of plants have been estimated to decrease annual runoff by more than 1.0 billion cubic meters, or ~5% of the annual average. This prior work was based on observed dust loadings during 2005–2008; however, 2009 and 2010 saw unprecedented levels of dust loading on snowpacks in the Upper Colorado River Basin (UCRB), being on the order of 5 times the 2005–2008 loading. Building on our prior work, we developed a new snow albedo decay parameterization based on observations in 2009/10 to mimic the radiative forcing of extreme dust deposition. We convolve low, moderate, and extreme dust/snow albedos with both historic climate forcing and two future climate scenarios via a delta method perturbation of historic records. Compared to moderate dust, extreme dust absorbs 2× to 4× the solar radiation, and shifts peak snowmelt an additional 3 weeks earlier to a total of 6 weeks earlier than pre-disturbance. The extreme dust scenario reduces annual flow volume an additional 1% (6% compared to pre-disturbance), a smaller difference than from low to moderate dust scenarios due to melt season shifting into a season of lower evaporative demand. The sensitivity of flow timing to dust radiative forcing of snow albedo is maintained under future climate scenarios, but the sensitivity of flow volume reductions decreases with increased climate forcing. These results have implications for water management and suggest that dust abatement efforts could be an important component of any climate adaptation strategies in the UCRB.
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S.","contributorId":83032,"corporation":false,"usgs":true,"family":"Deems","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":493874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Painter, Thomas H.","contributorId":12378,"corporation":false,"usgs":true,"family":"Painter","given":"Thomas","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":493873,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barsugli, Joseph J.","contributorId":103587,"corporation":false,"usgs":true,"family":"Barsugli","given":"Joseph","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":493876,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":493872,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Udall, Bradley","contributorId":87862,"corporation":false,"usgs":true,"family":"Udall","given":"Bradley","email":"","affiliations":[],"preferred":false,"id":493875,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70133831,"text":"70133831 - 2013 - The suitability of a simplified isotope-balance approach to quantify transient groundwater-lake interactions over a decade with climatic extremes","interactions":[],"lastModifiedDate":"2014-12-12T15:09:29","indexId":"70133831","displayToPublicDate":"2013-12-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"The suitability of a simplified isotope-balance approach to quantify transient groundwater-lake interactions over a decade with climatic extremes","docAbstract":"Groundwater inflow to a subtropical seepage lake was estimated using a transient isotope-balance approach for a decade (2001–2011) with wet and dry climatic extremes. Lake water δ18O ranged from +0.80 to +3.48 ‰, reflecting the 4 m range in stage. The transient δ18O analysis discerned large differences in semiannual groundwater inflow, and the overall patterns of low and high groundwater inflow were consistent with an independent water budget. Despite simplifying assumptions that the isotopic composition of precipitation (δP), groundwater inflow, and atmospheric moisture (δA) were constant, groundwater inflow was within the water-budget error for 12 of the 19 semiannual calculation periods. The magnitude of inflow was over or under predicted during periods of climatic extreme. During periods of high net precipitation from tropical cyclones and El Niño conditions, δP values were considerably more depleted in 18O than assumed. During an extreme dry period, δA values were likely more enriched in 18O than assumed due to the influence of local lake evaporate. Isotope balance results were most sensitive to uncertainties in relative humidity, evaporation, and δ18O of lake water, which can limit precise quantification of groundwater inflow. Nonetheless, the consistency between isotope-balance and water-budget results indicates that this is a viable approach for lakes in similar settings, allowing the magnitude of groundwater inflow to be estimated over less-than-annual time periods. Because lake-water δ18O is a good indicator of climatic conditions, these data could be useful in ground-truthing paleoclimatic reconstructions using isotopic data from lake cores in similar settings.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2013.12.012","usgsCitation":"Sacks, L.A., Lee, T.M., and Swancar, A., 2013, The suitability of a simplified isotope-balance approach to quantify transient groundwater-lake interactions over a decade with climatic extremes: Journal of Hydrology, v. 519, no. Part D, p. 3042-3053, https://doi.org/10.1016/j.jhydrol.2013.12.012.","productDescription":"12 p.","startPage":"3042","endPage":"3053","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038316","costCenters":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"links":[{"id":473426,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2013.12.012","text":"Publisher Index Page"},{"id":296203,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Lake Starr","volume":"519","issue":"Part D","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"546dbf2de4b0fc7976bf1e64","contributors":{"authors":[{"text":"Sacks, Laura A.","contributorId":19134,"corporation":false,"usgs":true,"family":"Sacks","given":"Laura","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":525453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Terrie M. tmlee@usgs.gov","contributorId":2461,"corporation":false,"usgs":true,"family":"Lee","given":"Terrie","email":"tmlee@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":525452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swancar, Amy aswancar@usgs.gov","contributorId":450,"corporation":false,"usgs":true,"family":"Swancar","given":"Amy","email":"aswancar@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":525451,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}