A series of 30-day biochemical oxygen demand (BOD) experiments were conducted on water column samples from a reach of the upper Klamath River that experiences hypoxia and anoxia in summer. Samples were incubated with added nitrification inhibitor to measure carbonaceous BOD (CBOD), untreated to measure total BOD, which included demand from nitrogenous BOD (NBOD), and coarse-filtered to examine the effect of removing large particulate matter. All BOD data were fit well with a two-group model, so named because it considered contributions from both labile and refractory pools of carbon: BODt = a1(1 − e− a0t) + a2t. Site-average labile first-order decay rates a0 ranged from 0.15 to 0.22/day for CBOD and 0.11 to 0.29/day for BOD. Site-average values of refractory zero-order decay rates a2 ranged from 0.13 to 0.25 mg/L/day for CBOD and 0.01 to 0.45 mg/L/day for BOD; the zero-order CBOD decay rate increased from early- to mid-summer. Values of ultimate CBOD for the labile component a1 ranged from 5.5 to 28.8 mg/L for CBOD, and 7.6 to 30.8 mg/L for BOD. Two upstream sites had higher CBOD compared to those downstream. Maximum measured total BOD5 and BOD30 during the study were 26.5 and 55.4 mg/L; minimums were 4.2 and 13.6 mg/L. For most samples, the oxygen demand from the three components considered here were: labile CBOD > NBOD > refractory CBOD, though the relative importance of refractory CBOD to oxygen demand increased over time. Coarse-filtering reduced CBOD for samples with high particulate carbon and high biovolumes of Aphanizomenon flos-aquae. There was a strong positive correlation between BOD, CBOD, and the labile component of CBOD to particulate C and N, with weaker positive correlation to field pH, field dissolved oxygen, and total N. The refractory component of CBOD was not correlated to particulate matter, instead showing weak but statistically significant correlation to dissolved organic carbon, UV absorbance at 254 nm, and total N. Particulate organic matter, especially the alga A.flos-aquae, is an important component of oxygen demand in this reach of the Klamath River, though refractory dissolved organic matter would continue to exert an oxygen demand over longer time periods and as water travels downstream.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2009.08.007","usgsCitation":"Sullivan, A., Snyder, D.M., and Rounds, S.A., 2010, Controls on biochemical oxygen demand in the upper Klamath River, Oregon: Chemical Geology, v. 269, no. 1-2, p. 12-21, https://doi.org/10.1016/j.chemgeo.2009.08.007.","productDescription":"10 p.","startPage":"12","endPage":"21","ipdsId":"IP-013602","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":350636,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Klamath River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.99150085449219,\n 42.0518419954737\n ],\n [\n -121.73538208007811,\n 42.0518419954737\n ],\n [\n -121.73538208007811,\n 42.288992779814045\n ],\n [\n -121.99150085449219,\n 42.288992779814045\n ],\n [\n -121.99150085449219,\n 42.0518419954737\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"269","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6c4c99e4b06e28e9cabb24","contributors":{"authors":[{"text":"Sullivan, Annett B. 0000-0001-7783-3906 annett@usgs.gov","orcid":"https://orcid.org/0000-0001-7783-3906","contributorId":79821,"corporation":false,"usgs":true,"family":"Sullivan","given":"Annett B.","email":"annett@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":725841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Snyder, Dean M.","contributorId":201484,"corporation":false,"usgs":false,"family":"Snyder","given":"Dean","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":725842,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rounds, Stewart A. 0000-0002-8540-2206 sarounds@usgs.gov","orcid":"https://orcid.org/0000-0002-8540-2206","contributorId":905,"corporation":false,"usgs":true,"family":"Rounds","given":"Stewart","email":"sarounds@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":725843,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70194333,"text":"70194333 - 2010 - A review of silver-rich mineral deposits and their metallogeny","interactions":[],"lastModifiedDate":"2017-11-29T11:16:19","indexId":"70194333","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"A review of silver-rich mineral deposits and their metallogeny","docAbstract":"Mineral deposits with large inventories or high grades of silver are found in four genetic groups: (1) volcanogenic massive sulfide (VMS), (2) sedimentary exhalative (SEDEX), (3) lithogene, and, (4) magmatichydrothermal. Principal differences between the four groups relate to source rocks and regions, metal associations, process and timing of mineralization, and tectonic setting. These four groups may be subdivided into specific metal associations on ternary diagrams based on relative metal contents.
The VMS deposits rarely contain more than 15,600 t Ag (500 Moz). Grades average 33 g/t Ag. Variable Ag- Pb-Zn-Cu-Au ± Sn concentrations are interpreted as having been derived both from shallow plutons and by leaching of the volcanic rock pile in regions of thin or no continental crust and the mineralization is syngenetic. Higher silver grades are associated with areas of abundant felsic volcanic rocks. The SEDEX deposits rarely contain more than 15,600 t Ag (500 Moz). Grades average 46 g/t Ag. Silver, lead, and zinc in relatively consistent proportions are leached from sedimentary rocks filling rift-related basins, where the continental crust is thin, and deposited as syngenetic to diagenetic massive sulfides. Pre-mineral volcanic rocks and their detritus may occur deep within the basin and gold is typically absent.
Lithogene silver-rich deposits are epigenetic products of varying combinations of compaction, dewatering, meteoric water recharge, and metamorphism of rift basin-related clastic sedimentary and interbedded volcanic rocks. Individual deposits may contain more than 15,600 t Ag (500 Moz) at high grades. Ores are characterized by four well-defined metal associations, including Ag, Ag-Pb-Zn, Ag-Cu, and Ag-Co-Ni-U. Leaching, transport, and deposition of metals may occur both in specific sedimentary strata and other rock types adjacent to the rift. Multiple mineralizing events lasting 10 to 15 m.y., separated by as much as 1 b.y., may occur in a single basin. Gold is absent at economic levels.
The magmatic-hydrothermal silver-rich deposits are epigenetic and related to cordilleran igneous and volcanic suites. Six magmatic-hydrothermal districts each contain more than 31,000 t Ag (1,000 Moz) with grades of veins >600 g/t Ag. Mineralization occurs as veins, massive sulfides in carbonate rocks, and disseminated deposits including porphyry silver deposits, a proposed exploration model. Most deposits are epithermal with low-sulfidation alteration assemblages. Deposits are often telescoped and well-zoned. All large and high-grade magmatic-hydrothermal deposits appear confined to regions of relatively thick continental crust above Cenozoic consuming plate margins on the eastern side of the Pacific Rim. Silver in these deposits may be partly derived by hydrothermal leaching of rocks under or adjacent to the deposits.
Specific metal associations in SEDEX and lithogene deposits may reflect confinement of fluid flow to and derivation of metals from specific source rock types. Variable metal associations in VMS and magmatichydrothermal deposits may reflect derivation of metals from a more diverse suite of rocks by convecting hydrothermal systems and processes related to the generation of magma. The discovery rate for silver-rich deposits has accelerated during the past decade, with new deposit types, metal associations, and exploration models being identified that provide numerous exploration and research opportunities.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The challenge of finding new mineral resources: Global metallogeny, innovative exploration, and new discoveries; SEG Special Publication 15 Vol. 1","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Society of Economic Geologists","usgsCitation":"Graybeal, F., and Vikre, P.G., 2010, A review of silver-rich mineral deposits and their metallogeny, chap. of The challenge of finding new mineral resources: Global metallogeny, innovative exploration, and new discoveries; SEG Special Publication 15 Vol. 1, p. 85-117.","productDescription":"33 p.","startPage":"85","endPage":"117","ipdsId":"IP-021427","costCenters":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":349514,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349513,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.segweb.org/store/detail.aspx?id=EDOCSP15V1CH07"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610acde4b06e28e9c256e1","contributors":{"authors":[{"text":"Graybeal, Frederick","contributorId":139000,"corporation":false,"usgs":false,"family":"Graybeal","given":"Frederick","email":"","affiliations":[{"id":12586,"text":"Consultant","active":true,"usgs":false}],"preferred":true,"id":723332,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vikre, Peter G. 0000-0001-7895-5972 pvikre@usgs.gov","orcid":"https://orcid.org/0000-0001-7895-5972","contributorId":139033,"corporation":false,"usgs":true,"family":"Vikre","given":"Peter","email":"pvikre@usgs.gov","middleInitial":"G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":723331,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70037687,"text":"70037687 - 2010 - Determining the effects of dams on subdaily variation in river flows at a whole-basin scale","interactions":[],"lastModifiedDate":"2012-04-30T16:43:35","indexId":"70037687","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Determining the effects of dams on subdaily variation in river flows at a whole-basin scale","docAbstract":"River regulation can alter the frequency and magnitude of subdaily flow variations causing major impacts on ecological structure and function. We developed an approach to quantify subdaily flow variation for multiple sites across a large watershed to assess the potential impacts of different dam operations (flood control, run-of-river hydropower and peaking hydropower) on natural communities. We used hourly flow data over a 9-year period from 30 stream gages throughout the Connecticut River basin to calculate four metrics of subdaily flow variation and to compare sites downstream of dams with unregulated sites. Our objectives were to (1) determine the temporal scale of data needed to characterize subdaily variability; (2) compare the frequency of days with high subdaily flow variation downstream of dams and unregulated sites; (3) analyse the magnitude of subdaily variation at all sites and (4) identify individual sites that had subdaily variation significantly higher than unregulated locations. We found that estimates of flow variability based on daily mean flow data were not sufficient to characterize subdaily flow patterns. Alteration of subdaily flows was evident in the number of days natural ranges of variability were exceeded, rather than in the magnitude of subdaily variation, suggesting that all rivers may exhibit highly variable subdaily flows, but altered rivers exhibit this variability more frequently. Peaking hydropower facilities had the most highly altered subdaily flows; however, we observed significantly altered ranges of subdaily variability downstream of some flood-control and run-of-river hydropower dams. Our analysis can be used to identify situations where dam operating procedures could be modified to reduce the level of hydrologic alteration. ?? 2009 John Wiley & Sons, Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"River Research and Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1002/rra.1324","issn":"15351459","usgsCitation":"Zimmerman, J.K., Letcher, B., Nislow, K., Lutz, K., and Magilligan, F., 2010, Determining the effects of dams on subdaily variation in river flows at a whole-basin scale: River Research and Applications, v. 26, no. 10, p. 1246-1260, https://doi.org/10.1002/rra.1324.","startPage":"1246","endPage":"1260","numberOfPages":"15","costCenters":[],"links":[{"id":217966,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rra.1324"},{"id":245939,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"10","noUsgsAuthors":false,"publicationDate":"2010-11-24","publicationStatus":"PW","scienceBaseUri":"5059fff6e4b0c8380cd4f4d3","contributors":{"authors":[{"text":"Zimmerman, J. K. H.","contributorId":105898,"corporation":false,"usgs":false,"family":"Zimmerman","given":"J.","email":"","middleInitial":"K. H.","affiliations":[],"preferred":false,"id":462296,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Letcher, B. H. 0000-0003-0191-5678","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":48132,"corporation":false,"usgs":true,"family":"Letcher","given":"B.","middleInitial":"H.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":462294,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nislow, K.H.","contributorId":66477,"corporation":false,"usgs":true,"family":"Nislow","given":"K.H.","affiliations":[],"preferred":false,"id":462295,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lutz, K.A.","contributorId":42069,"corporation":false,"usgs":true,"family":"Lutz","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":462293,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Magilligan, F.J.","contributorId":12298,"corporation":false,"usgs":true,"family":"Magilligan","given":"F.J.","affiliations":[],"preferred":false,"id":462292,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70037650,"text":"70037650 - 2010 - Context-specific influence of water temperature on brook trout growth rates in the field","interactions":[],"lastModifiedDate":"2012-04-30T16:43:34","indexId":"70037650","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","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":"Context-specific influence of water temperature on brook trout growth rates in the field","docAbstract":"1. Modelling the effects of climate change on freshwater fishes requires robust field-based estimates accounting for interactions among multiple factors.2. We used data from an 8-year individual-based study of a wild brook trout (Salvelinus fontinalis) population to test the influence of water temperature on season-specific growth in the context of variation in other environmental (i.e. season, stream flow) or biotic factors (local brook trout biomass density and fish age and size) in West Brook, a third-order stream in western Massachusetts, U.S.A.3. Changes in ambient temperature influenced individual growth rates. In general, higher temperatures were associated with higher growth rates in winter and spring and lower growth rates in summer and autumn. However, the effect of temperature on growth was strongly context-dependent, differing in both magnitude and direction as a function of season, stream flow and fish biomass density.4. We found that stream flow and temperature had strong and complex interactive effects on trout growth. At the coldest temperatures (in winter), high stream flows were associated with reduced trout growth rates. During spring and autumn and in typical summers (when water temperatures were close to growth optima), higher flows were associated with increased growth rates. In addition, the effect of flow at a given temperature (the flow-temperature interaction) differed among seasons.5. Trout density negatively affected growth rate and had strong interactions with temperature in two of four seasons (i.e. spring and summer) with greater negative effects at high temperatures.6. Our study provided robust, integrative field-based estimates of the effects of temperature on growth rates for a species which serves as a model organism for cold-water adapted ectotherms facing the consequences of environmental change. Results of the study strongly suggest that failure to derive season-specific estimates, or to explicitly consider interactions with flow regime and fish density, will seriously compromise our ability to predict the effects of climate change on stream fish growth rates. Further, the concordance we found between empirical observations and likely energetic mechanisms suggests that our general results should be relevant at broader spatial and temporal scales. ?? 2010 Blackwell Publishing Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Freshwater Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1365-2427.2010.02430.x","issn":"00465070","usgsCitation":"Xu, C., Letcher, B., and Nislow, K., 2010, Context-specific influence of water temperature on brook trout growth rates in the field: Freshwater Biology, v. 55, no. 11, p. 2253-2264, https://doi.org/10.1111/j.1365-2427.2010.02430.x.","startPage":"2253","endPage":"2264","numberOfPages":"12","costCenters":[],"links":[{"id":217925,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2427.2010.02430.x"},{"id":245898,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"11","noUsgsAuthors":false,"publicationDate":"2010-05-13","publicationStatus":"PW","scienceBaseUri":"5059fa4de4b0c8380cd4da2a","contributors":{"authors":[{"text":"Xu, C.","contributorId":9781,"corporation":false,"usgs":true,"family":"Xu","given":"C.","email":"","affiliations":[],"preferred":false,"id":462106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Letcher, B. H. 0000-0003-0191-5678","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":48132,"corporation":false,"usgs":true,"family":"Letcher","given":"B.","middleInitial":"H.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":462107,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nislow, K.H.","contributorId":66477,"corporation":false,"usgs":true,"family":"Nislow","given":"K.H.","affiliations":[],"preferred":false,"id":462108,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70154833,"text":"70154833 - 2010 - Factors associated with mortality of walleyes and saugers caught in live-release tournaments","interactions":[],"lastModifiedDate":"2021-04-02T15:31:29.733098","indexId":"70154833","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Factors associated with mortality of walleyes and saugers caught in live-release tournaments","docAbstract":"We measured the initial mortality (fish judged nonreleasable at weigh-in), prerelease mortality (fish judged nonreleasable 1–2 h after weigh-in [which includes initial mortality]), and postrelease mortality (fish that died during a 5-d retention in net-pens) in 14 live-release tournaments for walleye Sander vitreus conducted in April–October 2006 and April–July 2007 in lakes and rivers in Michigan, Minnesota, North Dakota, South Dakota, and Wisconsin. Among the 14 events, initial mortality was 0–28%, prerelease mortality was 3–54%, and postrelease mortality was 0–100%; the mortality of reference fish (walleyes ≥31 cm long that were captured by electrofishing and held in net-pens with tournament-caught walleyes to measure postrelease mortality) was 0–97%. Mortality was generally low in events conducted when water temperatures were below 14°C but substantially higher in events when water temperatures were above 18°C. The mortality of reference fish suggests that capture by electrofishing and minimal handling when the water temperature exceeds 19°C results in high mortality of walleyes that is largely the result of the thermal conditions immediately after capture. Mortality was not related to the size of the tournaments (number of boats), the total number or weight of walleyes weighed in, or the mean number or weight of walleyes weighed in per boat. Mortality was positively related to the depth at which walleyes were caught and the live-well temperature and negatively related to the live-well dissolved oxygen concentration. Surface water temperature was the best predictor of mortality, and models were developed to predict the probability of prerelease and postrelease mortality of 10, 20, and 30% or less of tournament-caught walleyes due to water temperature.
","language":"English","publisher":"Taylor & Francis","doi":"10.1577/M09-003.1","usgsCitation":"Schramm, H., Vondracek, B.C., French, W.E., and Gerard, P., 2010, Factors associated with mortality of walleyes and saugers caught in live-release tournaments: North American Journal of Fisheries Management, v. 30, no. 1, p. 238-253, https://doi.org/10.1577/M09-003.1.","productDescription":"16 p.","startPage":"238","endPage":"253","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-011354","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":475826,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11299/183646","text":"External Repository"},{"id":306783,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Minnesota, North Dakota, South Dakota, Wisconsin","otherGeospatial":"Detroit River, Devils Lake, 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bcv@usgs.gov","contributorId":904,"corporation":false,"usgs":true,"family":"Vondracek","given":"Bruce","email":"bcv@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":568233,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"French, William E.","contributorId":97355,"corporation":false,"usgs":true,"family":"French","given":"William","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":568234,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gerard, Patrick D.","contributorId":140181,"corporation":false,"usgs":false,"family":"Gerard","given":"Patrick D.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":568235,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70146200,"text":"70146200 - 2010 - A complex-systems approach to predicting effects of sea level rise and nitrogen loading on nitrogen cycling in coastal wetland ecosystems","interactions":[],"lastModifiedDate":"2018-03-05T16:27:52","indexId":"70146200","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"A complex-systems approach to predicting effects of sea level rise and nitrogen loading on nitrogen cycling in coastal wetland ecosystems","docAbstract":"To effectively manage coastal ecosystems, we need an improvedunderstanding of how tidal marsh ecosystem services will respond to sea-level rise and increased nitrogen (N) loading to coastal areas. Here we review existing literature to better understand how these interacting perturbations s will likely impact N removal by tidal marshes. We propose that the keyy factors controlling long-term changes in N removal are plant-community changes, soil accretion rates, surface-subsurface flow paths, marsh geomorphology microbial communities, and substrates for microbial reactions. Feedbacks affecting relative elevations and sediment accretion ratess will serve as dominant controls on future N removal throughout the marsh. Given marsh persistence, we hypothesize that the processes dominating N removal will vary laterally across the marsh and longitudinallyalong the estuarine gradient. In salt marsh interiors, where nitrate reduction rates are often limited by delivery of nitrate to bacterial communities, reductions in groundwater discharge due to sea level rise may trigger a net reduction in N removal. In freshwater marshes, we expect a decreasee in N removal efficiency due to increased sulfide concentrations. Sulfide encroachment will increase the relative importance of dissimilatory nitrate reduction to ammonium and lead to greater bacterial nitrogen immobilization, ultimately resulting in an ecosystem that retains more N and is less effective at permanent N removal from the watershed. In contrast, we predict that sealevel–driven expansion of the tidal creek network and the degree of surface-subsurface exchange flux through tidal creek banks will result in greater N-removal efficiency from these locations.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Eco-DAS VIII Symposium Proceedings","language":"English","publisher":"The American Society of Limnology and Oceanography, Inc.","usgsCitation":"Larsen, L., Moseman, S., Santoro, A., Hopfensperger, K., and Burgin, A., 2010, A complex-systems approach to predicting effects of sea level rise and nitrogen loading on nitrogen cycling in coastal wetland ecosystems, chap. of Eco-DAS VIII Symposium Proceedings, p. 67-92.","productDescription":"26 p.","startPage":"67","endPage":"92","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-021382","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":311701,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":299653,"type":{"id":15,"text":"Index Page"},"url":"https://water.usgs.gov/nrp/jharvey/pdf/ecodas8_067.pdf"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56559839e4b071e7ea53deef","contributors":{"authors":[{"text":"Larsen, Laurel G. lglarsen@usgs.gov","contributorId":1987,"corporation":false,"usgs":true,"family":"Larsen","given":"Laurel G.","email":"lglarsen@usgs.gov","affiliations":[],"preferred":false,"id":544782,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moseman, Serena","contributorId":140225,"corporation":false,"usgs":false,"family":"Moseman","given":"Serena","email":"","affiliations":[{"id":13422,"text":"Boston College","active":true,"usgs":false}],"preferred":false,"id":544786,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Santoro, Alyson","contributorId":140222,"corporation":false,"usgs":false,"family":"Santoro","given":"Alyson","affiliations":[{"id":13294,"text":"Woods Hole Oceanographic Institute","active":true,"usgs":false}],"preferred":false,"id":544783,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hopfensperger, Kristine","contributorId":140224,"corporation":false,"usgs":false,"family":"Hopfensperger","given":"Kristine","email":"","affiliations":[{"id":13421,"text":"Northern Kentuky Univ.","active":true,"usgs":false}],"preferred":false,"id":544785,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Burgin, Amy","contributorId":140223,"corporation":false,"usgs":false,"family":"Burgin","given":"Amy","email":"","affiliations":[{"id":13420,"text":"Wright State Univ.","active":true,"usgs":false}],"preferred":false,"id":544784,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70155134,"text":"70155134 - 2010 - Summary of groundwater-recharge estimates for Pennsylvania","interactions":[],"lastModifiedDate":"2017-05-13T16:43:11","indexId":"70155134","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":143,"text":"Water Resource Report","active":false,"publicationSubtype":{"id":2}},"seriesNumber":"70","title":"Summary of groundwater-recharge estimates for Pennsylvania","docAbstract":"Groundwater recharge is water that infiltrates through the subsurface to the zone of saturation beneath the water table. Because recharge is a difficult parameter to quantify, it is typically estimated from measurements of other parameters like streamflow and precipitation. This report provides a general overview of processes affecting recharge in Pennsylvania and presents estimates of recharge rates from studies at various scales.
The most common method for estimating recharge in Pennsylvania has been to estimate base flow from measurements of streamflow and assume that base flow (expressed in inches over the basin) approximates recharge. Statewide estimates of mean annual groundwater recharge were developed by relating base flow to basin characteristics of HUC10 watersheds (a fifth-level classification that uses 10 digits to define unique hydrologic units) using a regression equation. The regression analysis indicated that mean annual precipitation, average daily maximum temperature, percent of sand in soil, percent of carbonate rock in the watershed, and average stream-channel slope were significant factors in the explaining the variability of groundwater recharge across the Commonwealth.
Several maps are included in this report to illustrate the principal factors affecting recharge and provide additional information about the spatial distribution of recharge in Pennsylvania. The maps portray the patterns of precipitation, temperature, prevailing winds across Pennsylvania’s varied physiography; illustrate the error associated with recharge estimates; and show the spatial variability of recharge as a percent of precipitation. National, statewide, regional, and local values of recharge, based on numerous studies, are compiled to allow comparison of estimates from various sources. Together these plates provide a synopsis of groundwater-recharge estimations and factors in Pennsylvania.
Areas that receive the most recharge are typically those that get the most rainfall, have favorable surface conditions for infiltration, and are less susceptible to the influences of high temperatures, and thus, evapotranspiration. Areas that have less recharge in Pennsylvania are typically those with less precipitation, less permeable soils, and higher temperatures that are conducive to greater rates of evapotranspiration.
","language":"English","publisher":"Pennsylvania Geological Survey","publisherLocation":"Harrisburg, PA","usgsCitation":"Reese, S.O., and Risser, D.W., 2010, Summary of groundwater-recharge estimates for Pennsylvania: Water Resource Report 70, ii, 18 p.","productDescription":"ii, 18 p.","numberOfPages":"28","ipdsId":"IP-018178","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":341278,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":305760,"type":{"id":15,"text":"Index Page"},"url":"https://www.dcnr.state.pa.us/topogeo/publications/pgspub/water/index.htm"}],"country":"United States","state":"Pennsylvania","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59181b33e4b044b359e48915","contributors":{"authors":[{"text":"Reese, Stuart O.","contributorId":145639,"corporation":false,"usgs":false,"family":"Reese","given":"Stuart","email":"","middleInitial":"O.","affiliations":[{"id":16182,"text":"Pennsylvania Geological Survey","active":true,"usgs":false}],"preferred":false,"id":564864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Risser, Dennis W. 0000-0001-9597-5406 dwrisser@usgs.gov","orcid":"https://orcid.org/0000-0001-9597-5406","contributorId":898,"corporation":false,"usgs":true,"family":"Risser","given":"Dennis","email":"dwrisser@usgs.gov","middleInitial":"W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":564863,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70156906,"text":"70156906 - 2010 - Water-budget methods","interactions":[{"subject":{"id":70156906,"text":"70156906 - 2010 - Water-budget methods","indexId":"70156906","publicationYear":"2010","noYear":false,"chapter":"2","title":"Water-budget methods"},"predicate":"IS_PART_OF","object":{"id":70189200,"text":"70189200 - 2010 - Estimating groundwater recharge","indexId":"70189200","publicationYear":"2010","noYear":false,"title":"Estimating groundwater recharge"},"id":1}],"isPartOf":{"id":70189200,"text":"70189200 - 2010 - Estimating groundwater recharge","indexId":"70189200","publicationYear":"2010","noYear":false,"title":"Estimating groundwater recharge"},"lastModifiedDate":"2021-04-26T17:34:23.507642","indexId":"70156906","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"2","title":"Water-budget methods","docAbstract":"A water budget is an accounting of water movement into and out of, and storage change within, some control volume. Universal and adaptable are adjectives that reflect key features of water-budget methods for estimating recharge. The universal concept of mass conservation of water implies that water-budget methods are applicable over any space and time scales (Healy et al., 2007). The water budget of a soil column in a laboratory can be studied at scales of millimeters and seconds. A water-budget equation is also an integral component of atmospheric general circulation models used to predict global climates over periods of decades or more. Water-budget equations can be easily customized by adding or removing terms to accurately portray the peculiarities of any hydrologic system. The equations are generally not bound by assumptions on mechanisms by which water moves into, through, and out of the control volume of interest. So water-budget methods can be used to estimate both diffuse and focused recharge, and recharge estimates are unaffected by phenomena such as preferential flow paths within the unsaturated zone.
Water-budget methods represent the largest class of techniques for estimating recharge. Most hydrologic models are derived from a water-budget equation and can therefore be classified as water-budget models. It is not feasible to address all water-budget methods in a single chapter. This chapter is limited to discussion of the “residual” water-budget approach, whereby all variables in a water-budget equation, except for recharge, are independently measured or estimated and recharge is set equal to the residual. This chapter is closely linked with Chapter 3, on modeling methods, because the equations presented here form the basis of many models and because models are often used to estimate individual components in water-budget studies. Water budgets for streams and other surface-water bodies are addressed in Chapter 4. The use of soil-water budgets and lysimeters for determining potential recharge and evapotranspiration from changes in water storage is discussed in Chapter 5. Aquifer water-budget methods based on the measurement of groundwater levels are described in Chapter 6.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Estimating groundwater recharge","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Cambridge University Press","doi":"10.1017/CBO9780511780745.003","isbn":"9780511780745","usgsCitation":"Healy, R.W., 2010, Water-budget methods, chap. 2 of Estimating groundwater recharge, p. 15-42, https://doi.org/10.1017/CBO9780511780745.003.","productDescription":"28 p.","startPage":"15","endPage":"42","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-008545","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":307797,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560bb71ee4b058f706e53f9e","contributors":{"authors":[{"text":"Healy, Richard W. 0000-0002-0224-1858 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Salt Pond Restoration Project.","language":"English","publisher":"U.S Geological Survey","publisherLocation":"Davis, CA","doi":"10.3133/70159411","usgsCitation":"Ackerman, J., Herzog, M.P., and Eagles-Smith, C.A., 2010, California gull intrusions on breeding waterbird colonies and impacts to reproductive success: implications for the South Bay Salt Pond Restoration Project., 13 p., https://doi.org/10.3133/70159411.","productDescription":"13 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-025244","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":311403,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"South San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n 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stored floodwater, sediments, and nutrients within the floodplain. This landscape has been substantially altered by the conversion of nearly 75% of the riparian forests, predominantly to agricultural cropland, with significant loss and degradation of important ecosystem services. Large-scale efforts have been employed to restore the forest and wetland resources and the U.S. Department of Agriculture (USDA) Wetlands Reserve Program (WRP) and Conservation Reserve Program (CRP) represent some of the most extensive restoration programs in the MAV. The objective of the WRP is to restore and protect the functions and values of wetlands in agricultural landscapes with an emphasis on habitat for migratory birds and wetland-dependent wildlife, protection and improvement of water quality, flood attenuation, ground water recharge, protection of native flora and fauna, and educational and scientific scholarship.
\n\n
The degree to which these conservation practices can restore ecosystem functions and services is not well known. This project was initiated to quantify existing ecological services derived from USDA conservation practices in the MAV as part of the USDA Conservation Effects Assessment Project, Wetlands Component (CEAP-Wetlands). The U.S. Geological Survey (USGS), in collaboration with the USDA Natural Resources Conservation Service, the USDA Farm Service Agency, the U.S. Fish and Wildlife Service, and Ducks Unlimited, collected data on soils, vegetation, nitrogen cycling, migratory birds, and amphibians from 88 different sites between 2006 and 2008. Results from restored WRP sites were compared to baseline data from active agricultural cropland (AG) to evaluate changes in ecosystem services.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"NRCS","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"U.S. Department of Agriculture Natural Resources Conservation Service","usgsCitation":"Faulkner, S.P., Baldwin, M., Barrow, W., Waddle, H., Keeland, B.D., Walls, S.C., James, D., and Moorman, T., 2010, Regional estimates of ecological services derived from U.S. Department of Agriculture conservation programs in the Mississippi Alluvial Valley, vi, 97 p.","productDescription":"vi, 97 p.","numberOfPages":"103","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-018884","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":296719,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":296718,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.nrcs.usda.gov/Internet/FSE_DOCUMENTS/nrcs143_013599.pdf"}],"country":"United States","state":"Arkansas, Kentucky, Louisiana, Mississippi, Missouri, Tennessee","otherGeospatial":"Mississippi Alluvial River Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.30712890625,\n 29.132970130878636\n ],\n [\n -92.30712890625,\n 38.08268954483802\n ],\n [\n -87.82470703125,\n 38.08268954483802\n ],\n [\n -87.82470703125,\n 29.132970130878636\n ],\n [\n -92.30712890625,\n 29.132970130878636\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"549165d0e4b0d0759afaad93","contributors":{"authors":[{"text":"Faulkner, Stephen P. 0000-0001-5295-1383 faulkners@usgs.gov","orcid":"https://orcid.org/0000-0001-5295-1383","contributorId":374,"corporation":false,"usgs":true,"family":"Faulkner","given":"Stephen","email":"faulkners@usgs.gov","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":536815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldwin, Michael J. 0000-0003-1939-5439 baldwinm@usgs.gov","orcid":"https://orcid.org/0000-0003-1939-5439","contributorId":3294,"corporation":false,"usgs":true,"family":"Baldwin","given":"Michael J.","email":"baldwinm@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":536816,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barrow, Wylie C. 0000-0003-4671-2823 barroww@usgs.gov","orcid":"https://orcid.org/0000-0003-4671-2823","contributorId":1988,"corporation":false,"usgs":true,"family":"Barrow","given":"Wylie C.","email":"barroww@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":536817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waddle, Hardin 0000-0003-1940-2133 waddleh@usgs.gov","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":2911,"corporation":false,"usgs":true,"family":"Waddle","given":"Hardin","email":"waddleh@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":536818,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keeland, Bobby D.","contributorId":103506,"corporation":false,"usgs":true,"family":"Keeland","given":"Bobby","email":"","middleInitial":"D.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":536819,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walls, Susan C. 0000-0001-7391-9155 swalls@usgs.gov","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":2310,"corporation":false,"usgs":true,"family":"Walls","given":"Susan","email":"swalls@usgs.gov","middleInitial":"C.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":536820,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"James, Dale","contributorId":119281,"corporation":false,"usgs":false,"family":"James","given":"Dale","email":"","affiliations":[],"preferred":false,"id":513853,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Moorman, Tom","contributorId":118293,"corporation":false,"usgs":false,"family":"Moorman","given":"Tom","email":"","affiliations":[],"preferred":false,"id":513852,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70035359,"text":"70035359 - 2010 - Evaluating the spatiotemporal variations of water budget across China over 1951-2006 using IBIS model","interactions":[],"lastModifiedDate":"2013-05-14T10:49:54","indexId":"70035359","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the spatiotemporal variations of water budget across China over 1951-2006 using IBIS model","docAbstract":"The Integrated Biosphere Simulator is used to evaluate the spatial and temporal patterns of the crucial hydrological variables [run-off and actual evapotranspiration (AET)] of the water balance across China for the period 1951–2006 including a precipitation analysis. Results suggest three major findings. First, simulated run-off captured 85% of the spatial variability and 80% of the temporal variability for 85 hydrological gauges across China. The mean relative errors were within 20% for 66% of the studied stations and within 30% for 86% of the stations. The Nash–Sutcliffe coefficients indicated that the quantity pattern of run-off was also captured acceptably except for some watersheds in southwestern and northwestern China. The possible reasons for underestimation of run-off in the Tibetan plateau include underestimation of precipitation and uncertainties in other meteorological data due to complex topography, and simplified representations of the soil depth attribute and snow processes in the model. Second, simulated AET matched reasonably with estimated values calculated as the residual of precipitation and run-off for watersheds controlled by the hydrological gauges. Finally, trend analysis based on the Mann–Kendall method indicated that significant increasing and decreasing patterns in precipitation appeared in the northwest part of China and the Yellow River region, respectively. Significant increasing and decreasing trends in AET were detected in the Southwest region and the Yangtze River region, respectively. In addition, the Southwest region, northern China (including the Heilongjiang, Liaohe, and Haihe Basins), and the Yellow River Basin showed significant decreasing trends in run-off, and the Zhemin hydrological region showed a significant increasing trend.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/hyp.7496","issn":"08856087","usgsCitation":"Zhu, Q., Jiang, H., Liu, J., Wei, X., Peng, C., Fang, X., Liu, S., Zhou, G., Yu, S., and Ju, W., 2010, Evaluating the spatiotemporal variations of water budget across China over 1951-2006 using IBIS model: Hydrological Processes, v. 24, no. 4, p. 429-445, https://doi.org/10.1002/hyp.7496.","productDescription":"17 p.","startPage":"429","endPage":"445","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":242875,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215101,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.7496"}],"country":"China","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 73.5,18.2 ], [ 73.5,53.6 ], [ 134.8,53.6 ], [ 134.8,18.2 ], [ 73.5,18.2 ] ] ] } } ] }","volume":"24","issue":"4","noUsgsAuthors":false,"publicationDate":"2009-11-10","publicationStatus":"PW","scienceBaseUri":"505a0c00e4b0c8380cd529bf","contributors":{"authors":[{"text":"Zhu, Q.","contributorId":93711,"corporation":false,"usgs":true,"family":"Zhu","given":"Q.","email":"","affiliations":[],"preferred":false,"id":450325,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jiang, H.","contributorId":83731,"corporation":false,"usgs":true,"family":"Jiang","given":"H.","affiliations":[],"preferred":false,"id":450323,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, J.","contributorId":23672,"corporation":false,"usgs":false,"family":"Liu","given":"J.","affiliations":[],"preferred":false,"id":450318,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wei, X.","contributorId":50636,"corporation":false,"usgs":true,"family":"Wei","given":"X.","email":"","affiliations":[],"preferred":false,"id":450321,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peng, C.","contributorId":79314,"corporation":false,"usgs":true,"family":"Peng","given":"C.","email":"","affiliations":[],"preferred":false,"id":450322,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fang, X.","contributorId":32288,"corporation":false,"usgs":true,"family":"Fang","given":"X.","email":"","affiliations":[],"preferred":false,"id":450320,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liu, S.","contributorId":93170,"corporation":false,"usgs":true,"family":"Liu","given":"S.","affiliations":[],"preferred":false,"id":450324,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zhou, G.","contributorId":12604,"corporation":false,"usgs":true,"family":"Zhou","given":"G.","email":"","affiliations":[],"preferred":false,"id":450317,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yu, S.","contributorId":25771,"corporation":false,"usgs":true,"family":"Yu","given":"S.","email":"","affiliations":[],"preferred":false,"id":450319,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ju, W.","contributorId":10627,"corporation":false,"usgs":true,"family":"Ju","given":"W.","email":"","affiliations":[],"preferred":false,"id":450316,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70034209,"text":"70034209 - 2010 - Growth, carbon-isotope discrimination, and drought-associated mortality across a Pinus ponderosa elevational transect","interactions":[],"lastModifiedDate":"2018-01-23T11:05:20","indexId":"70034209","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Growth, carbon-isotope discrimination, and drought-associated mortality across a Pinus ponderosa elevational transect","title":"Growth, carbon-isotope discrimination, and drought-associated mortality across a Pinus ponderosa elevational transect","docAbstract":"Drought- and insect-associated tree mortality at low-elevation ecotones is a widespread phenomenon but the underlying mechanisms are uncertain. Enhanced growth sensitivity to climate is widely observed among trees that die, indicating that a predisposing physiological mechanism(s) underlies tree mortality. We tested three, linked hypotheses regarding mortality using a ponderosa pine (Pinus ponderosa) elevation transect that experienced low-elevation mortality following prolonged drought. The hypotheses were: (1) mortality was associated with greater growth sensitivity to climate, (2) mortality was associated with greater sensitivity of gas exchange to climate, and (3) growth and gas exchange were correlated. Support for all three hypotheses would indicate that mortality results at least in part from gas exchange constraints. We assessed growth using basal area increment normalized by tree basal area [basal area increment (BAI)/basal area (BA)] to account for differences in tree size. Whole-crown gas exchange was indexed via estimates of the CO2 partial pressure difference between leaf and atmosphere (pa−pc) derived from tree ring carbon isotope ratios (δ13C), corrected for temporal trends in atmospheric CO2 and δ13C and elevation trends in pressure. Trees that survived the drought exhibited strong correlations among and between BAI, BAI/BA, pa−pc, and climate. In contrast, trees that died exhibited greater growth sensitivity to climate than trees that survived, no sensitivity of pa−pc to climate, and a steep relationship between pa−pc and BAI/BA. The pa−pc results are consistent with predictions from a theoretical hydraulic model, suggesting trees that died had a limited buffer between mean water availability during their lifespan and water availability during drought – i.e., chronic water stress. It appears that chronic water stress predisposed low-elevation trees to mortality during drought via constrained gas exchange. Continued intensification of drought in mid-latitude regions may drive increased mortality and ecotone shifts in temperate forests and woodlands.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2486.2009.01994.x","usgsCitation":"McDowell, N., Allen, C.D., and Marshall, L., 2010, Growth, carbon-isotope discrimination, and drought-associated mortality across a Pinus ponderosa elevational transect: Global Change Biology, v. 16, no. 1, p. 399-415, https://doi.org/10.1111/j.1365-2486.2009.01994.x.","productDescription":"17 p.","startPage":"399","endPage":"415","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":244396,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-12-02","publicationStatus":"PW","scienceBaseUri":"505a2e0fe4b0c8380cd5c288","contributors":{"authors":[{"text":"McDowell, N.G.","contributorId":93296,"corporation":false,"usgs":true,"family":"McDowell","given":"N.G.","email":"","affiliations":[],"preferred":false,"id":444618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":444617,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marshall, L.","contributorId":37171,"corporation":false,"usgs":true,"family":"Marshall","given":"L.","email":"","affiliations":[],"preferred":false,"id":444616,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70034208,"text":"70034208 - 2010 - The green alga, Cladophora, promotes Escherichia coli growth and contamination of recreational waters in Lake Michigan","interactions":[],"lastModifiedDate":"2012-03-12T17:21:51","indexId":"70034208","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"The green alga, Cladophora, promotes Escherichia coli growth and contamination of recreational waters in Lake Michigan","docAbstract":"A linkage between Cladophora mats and exceedances of recreational water quality criteria has been suggested, but not directly studied. Th is study investigates the spatial and temporal association between Escherichia coli concentrations within and near Cladophora mats at two northwestern Lake Michigan beaches in Door County, Wisconsin. Escherichia coli concentrations in water underlying mats were significantly greater than surrounding water (p < 0.001). Below mat E. coli increased as the stranded mats persisted at the beach swash zone. Water adjacent to Cladophora mats had lower E. coli concentrations, but surpassed EPA swimming criteria the majority of sampling days. A signifi cant positive association was found between E. coli concentrations attached to Cladophora and in underlying water (p < 0.001). The attached E. coli likely acted as a reservoir for populating water underlying the mat. Fecal bacterial pathogens, however, could not be detected by microbiological culture methods either attached to mat biomass or in underlying water. Removal of Cladophora mats from beach areas may improve aesthetic and microbial water quality at affected beaches. These associations and potential natural growth of E. coli in bathing waters call into question the efficacy of using E. coli as a recreational water quality indicator of fecal contaminations. Copyright ?? 2010 by the American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Quality","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2134/jeq2009.0152","issn":"00472425","usgsCitation":"Heuvel, A., McDermott, C., Pillsbury, R., Sandrin, T., Kinzelman, J., Ferguson, J., Sadowsky, M., Byappanahalli, M., Whitman, R., and Kleinheinz, G., 2010, The green alga, Cladophora, promotes Escherichia coli growth and contamination of recreational waters in Lake Michigan: Journal of Environmental Quality, v. 39, no. 1, p. 333-344, https://doi.org/10.2134/jeq2009.0152.","startPage":"333","endPage":"344","numberOfPages":"12","costCenters":[],"links":[{"id":216518,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2134/jeq2009.0152"},{"id":244395,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bac9be4b08c986b3235ef","contributors":{"authors":[{"text":"Heuvel, A.V.","contributorId":9882,"corporation":false,"usgs":true,"family":"Heuvel","given":"A.V.","email":"","affiliations":[],"preferred":false,"id":444607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDermott, C.","contributorId":101914,"corporation":false,"usgs":true,"family":"McDermott","given":"C.","email":"","affiliations":[],"preferred":false,"id":444615,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pillsbury, R.","contributorId":64917,"corporation":false,"usgs":true,"family":"Pillsbury","given":"R.","email":"","affiliations":[],"preferred":false,"id":444614,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sandrin, T.","contributorId":6285,"corporation":false,"usgs":true,"family":"Sandrin","given":"T.","affiliations":[],"preferred":false,"id":444606,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kinzelman, J.","contributorId":43584,"corporation":false,"usgs":true,"family":"Kinzelman","given":"J.","affiliations":[],"preferred":false,"id":444612,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ferguson, J.","contributorId":31907,"corporation":false,"usgs":true,"family":"Ferguson","given":"J.","email":"","affiliations":[],"preferred":false,"id":444610,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sadowsky, M.","contributorId":25794,"corporation":false,"usgs":true,"family":"Sadowsky","given":"M.","email":"","affiliations":[],"preferred":false,"id":444609,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Byappanahalli, M. 0000-0001-5376-597X","orcid":"https://orcid.org/0000-0001-5376-597X","contributorId":44715,"corporation":false,"usgs":true,"family":"Byappanahalli","given":"M.","affiliations":[],"preferred":false,"id":444613,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Whitman, R.","contributorId":38803,"corporation":false,"usgs":true,"family":"Whitman","given":"R.","email":"","affiliations":[],"preferred":false,"id":444611,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kleinheinz, G.T.","contributorId":11021,"corporation":false,"usgs":true,"family":"Kleinheinz","given":"G.T.","affiliations":[],"preferred":false,"id":444608,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70034666,"text":"70034666 - 2010 - Do larval fishes exhibit diel drift patterns in a large, turbid river?","interactions":[],"lastModifiedDate":"2012-03-12T17:21:41","indexId":"70034666","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Do larval fishes exhibit diel drift patterns in a large, turbid river?","docAbstract":"Previous research suggested larval fishes do not exhibit a diel drift cycle in turbid rivers (transparency <30 cm). We evaluated this hypothesis in the turbid, lower Missouri River, Missouri. We also reviewed diel patterns of larval drift over a range of transparencies in rivers worldwide. Larval fishes were collected from the Missouri River primary channel every 4 h per 24-h period during spring-summer 2002. Water transparency was measured during this period and summarized for previous years. Diel drift patterns were analyzed at the assemblage level and lower taxonomic levels for abundant groups. Day and night larval fish catch-per-unit-effort (CPUE) was compared for the entire May through August sampling period and spring (May - June) and summer (July - August) seasons separately. There were no significant differences between day and night CPUE at the assemblage level for the entire sampling period or for the spring and summer seasons. However, Hiodon alosoides, Carpiodes/Ictiobus spp. and Macrhybopsis spp. exhibited a diel cycle of abundance within the drift. This pattern was evident although mean Secchi depth (transparency) ranged from 4 to 25 cm during the study and was <30 cm from May through August over the previous nine years. Larval diel drift studies from 48 rivers excluding the Missouri River indicated the primary drift period for larval fishes was at night in 38 rivers and during the day for five, with the remaining rivers showing no pattern. Water transparency was reported for 10 rivers with six being <30 cm or 'low'. Two of these six turbid rivers exhibited significant diel drift patterns. The effect of water transparency on diel drift of larval fishes appears taxa-specific and patterns of abundant taxa could mask patterns of rare taxa when analyzed only at the assemblage level. ?? 2010 Blackwell Verlag, Berlin.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Ichthyology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1439-0426.2010.01481.x","issn":"01758659","usgsCitation":"Reeves, K., and Galat, D., 2010, Do larval fishes exhibit diel drift patterns in a large, turbid river?: Journal of Applied Ichthyology, v. 26, no. 4, p. 571-577, https://doi.org/10.1111/j.1439-0426.2010.01481.x.","startPage":"571","endPage":"577","numberOfPages":"7","costCenters":[],"links":[{"id":475796,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1439-0426.2010.01481.x","text":"Publisher Index Page"},{"id":215723,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1439-0426.2010.01481.x"},{"id":243545,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-03-04","publicationStatus":"PW","scienceBaseUri":"505a0362e4b0c8380cd5046f","contributors":{"authors":[{"text":"Reeves, K.S.","contributorId":40824,"corporation":false,"usgs":true,"family":"Reeves","given":"K.S.","email":"","affiliations":[],"preferred":false,"id":446941,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Galat, D.L.","contributorId":54546,"corporation":false,"usgs":true,"family":"Galat","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":446942,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70033823,"text":"70033823 - 2010 - Temporal and spatial distributions of sediment mercury at salt pond wetland restoration sites, San Francisco Bay, CA, USA","interactions":[],"lastModifiedDate":"2018-10-09T09:35:57","indexId":"70033823","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Temporal and spatial distributions of sediment mercury at salt pond wetland restoration sites, San Francisco Bay, CA, USA","docAbstract":"Decommissioned agricultural salt ponds within south San Francisco Bay, California, are in the process of being converted to habitat for the benefit of wildlife as well as water management needs and recreation. Little is known of baseline levels of contaminants in these ponds, particularly mercury (Hg), which has a well established legacy in the Bay. In this study we described spatial and short-term temporal variations in sediment Hg species concentrations within and among the Alviso and Eden Landing salt ponds in the southern region of San Francisco Bay. We determined total Hg (Hgt) and methylmercury (MeHg) in the top 5 cm of sediment of most ponds in order to establish baseline conditions prior to restoration, sediment Hgt concentrations in a subset of these ponds after commencement of restoration, and variation in MeHg concentrations relative to sediment Hgt, pH, and total Fe concentrations and water depth and salinity in the subset of Alviso ponds. Inter-pond differences were greatest within the Alviso pond complex, where sediment Hgt concentrations averaged (arithmetic mean) 0.74 [mu]g/g pre and 1.03 [mu]g/g post-restoration activity compared to 0.11 [mu]g/g pre and post at Eden Landing ponds. Sediment Hgt levels at Alviso were fairly stable temporally and spatially, whereas MeHg levels were variable relative to restoration activities across time and space. Mean (arithmetic) sediment MeHg concentrations increased (2.58 to 3.03 ng/g) in Alviso and decreased (2.20 to 1.03 ng/g) in Eden Landing restoration ponds during the study. Differences in MeHg levels were related to water depth and pH, but these relationships were not consistent between years or among ponds and were viewed with caution. Factors affecting MeHg levels in these ponds (and in general) are highly complex and require in-depth study to understand.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.scitotenv.2009.10.042","issn":"00489697","usgsCitation":"Miles, A.K., and Ricca, M., 2010, Temporal and spatial distributions of sediment mercury at salt pond wetland restoration sites, San Francisco Bay, CA, USA: Science of the Total Environment, v. 408, no. 5, p. 1154-1165, https://doi.org/10.1016/j.scitotenv.2009.10.042.","startPage":"1154","endPage":"1165","numberOfPages":"12","costCenters":[{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":214208,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2009.10.042"},{"id":241906,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"408","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba4eee4b08c986b32069c","contributors":{"authors":[{"text":"Miles, A. Keith 0000-0002-3108-808X keith_miles@usgs.gov","orcid":"https://orcid.org/0000-0002-3108-808X","contributorId":196,"corporation":false,"usgs":true,"family":"Miles","given":"A.","email":"keith_miles@usgs.gov","middleInitial":"Keith","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":442708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ricca, M.A.","contributorId":103609,"corporation":false,"usgs":true,"family":"Ricca","given":"M.A.","affiliations":[],"preferred":false,"id":442709,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70034076,"text":"70034076 - 2010 - Irrigated areas of India derived using MODIS 500 m time series for the years 2001-2003","interactions":[],"lastModifiedDate":"2012-03-12T17:21:50","indexId":"70034076","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1958,"text":"ISPRS Journal of Photogrammetry and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Irrigated areas of India derived using MODIS 500 m time series for the years 2001-2003","docAbstract":"The overarching goal of this research was to develop methods and protocols for mapping irrigated areas using a Moderate Resolution Imaging Spectroradiometer (MODIS) 500 m time series, to generate irrigated area statistics, and to compare these with ground- and census-based statistics. The primary mega-file data-cube (MFDC), comparable to a hyper-spectral data cube, used in this study consisted of 952 bands of data in a single file that were derived from MODIS 500 m, 7-band reflectance data acquired every 8-days during 2001-2003. The methods consisted of (a) segmenting the 952-band MFDC based not only on elevation-precipitation-temperature zones but on major and minor irrigated command area boundaries obtained from India's Central Board of Irrigation and Power (CBIP), (b) developing a large ideal spectral data bank (ISDB) of irrigated areas for India, (c) adopting quantitative spectral matching techniques (SMTs) such as the spectral correlation similarity (SCS) R2-value, (d) establishing a comprehensive set of protocols for class identification and labeling, and (e) comparing the results with the National Census data of India and field-plot data gathered during this project for determining accuracies, uncertainties and errors. The study produced irrigated area maps and statistics of India at the national and the subnational (e.g., state, district) levels based on MODIS data from 2001-2003. The Total Area Available for Irrigation (TAAI) and Annualized Irrigated Areas (AIAs) were 113 and 147 million hectares (MHa), respectively. The TAAI does not consider the intensity of irrigation, and its nearest equivalent is the net irrigated areas in the Indian National Statistics. The AIA considers intensity of irrigation and is the equivalent of \"irrigated potential utilized (IPU)\" reported by India's Ministry of Water Resources (MoWR). The field-plot data collected during this project showed that the accuracy of TAAI classes was 88% with a 12% error of omission and 32% of error of commission. Comparisons between the AIA and IPU produced an R2-value of 0.84. However, AIA was consistently higher than IPU. The causes for differences were both in traditional approaches and remote sensing. The causes of uncertainties unique to traditional approaches were (a) inadequate accounting of minor irrigation (groundwater, small reservoirs and tanks), (b) unwillingness to share irrigated area statistics by the individual Indian states because of their stakes, (c) absence of comprehensive statistical analyses of reported data, and (d) subjectivity involved in observation-based data collection process. The causes of uncertainties unique to remote sensing approaches were (a) irrigated area fraction estimate and related sub-pixel area computations and (b) resolution of the imagery. The causes of uncertainties common in both traditional and remote sensing approaches were definitions and methodological issues. ?? 2009 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"ISPRS Journal of Photogrammetry and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.isprsjprs.2009.08.004","issn":"09242716","usgsCitation":"Dheeravath, V., Thenkabail, P., Chandrakantha, G., Noojipady, P., Reddy, G., Biradar, C., Gumma, M., and Velpuri, M., 2010, Irrigated areas of India derived using MODIS 500 m time series for the years 2001-2003: ISPRS Journal of Photogrammetry and Remote Sensing, v. 65, no. 1, p. 42-59, https://doi.org/10.1016/j.isprsjprs.2009.08.004.","startPage":"42","endPage":"59","numberOfPages":"18","costCenters":[],"links":[{"id":216511,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.isprsjprs.2009.08.004"},{"id":244388,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"65","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3f08e4b0c8380cd641f0","contributors":{"authors":[{"text":"Dheeravath, V.","contributorId":55234,"corporation":false,"usgs":true,"family":"Dheeravath","given":"V.","affiliations":[],"preferred":false,"id":443959,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thenkabail, P.S.","contributorId":66071,"corporation":false,"usgs":true,"family":"Thenkabail","given":"P.S.","email":"","affiliations":[],"preferred":false,"id":443960,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chandrakantha, G.","contributorId":39610,"corporation":false,"usgs":true,"family":"Chandrakantha","given":"G.","email":"","affiliations":[],"preferred":false,"id":443957,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Noojipady, P.","contributorId":42453,"corporation":false,"usgs":true,"family":"Noojipady","given":"P.","affiliations":[],"preferred":false,"id":443958,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reddy, G.P.O.","contributorId":14666,"corporation":false,"usgs":true,"family":"Reddy","given":"G.P.O.","email":"","affiliations":[],"preferred":false,"id":443955,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Biradar, C.M.","contributorId":35563,"corporation":false,"usgs":true,"family":"Biradar","given":"C.M.","email":"","affiliations":[],"preferred":false,"id":443956,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gumma, M.K.","contributorId":12286,"corporation":false,"usgs":true,"family":"Gumma","given":"M.K.","email":"","affiliations":[],"preferred":false,"id":443954,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Velpuri, M. 0000-0002-6370-1926","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":7935,"corporation":false,"usgs":true,"family":"Velpuri","given":"M.","affiliations":[],"preferred":false,"id":443953,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70035584,"text":"70035584 - 2010 - Survival and breeding of polar bears in the southern Beaufort Sea in relation to sea ice","interactions":[],"lastModifiedDate":"2016-06-27T12:35:19","indexId":"70035584","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Survival and breeding of polar bears in the southern Beaufort Sea in relation to sea ice","docAbstract":"1. Observed and predicted declines in Arctic sea ice have raised concerns about marine mammals. In May 2008, the US Fish and Wildlife Service listed polar bears (Ursus maritimus) - one of the most ice-dependent marine mammals - as threatened under the US Endangered Species Act. 2. We evaluated the effects of sea ice conditions on vital rates (survival and breeding probabilities) for polar bears in the southern Beaufort Sea. Although sea ice declines in this and other regions of the polar basin have been among the greatest in the Arctic, to date population-level effects of sea ice loss on polar bears have only been identified in western Hudson Bay, near the southern limit of the species' range. 3. We estimated vital rates using multistate capture-recapture models that classified individuals by sex, age and reproductive category. We used multimodel inference to evaluate a range of statistical models, all of which were structurally based on the polar bear life cycle. We estimated parameters by model averaging, and developed a parametric bootstrap procedure to quantify parameter uncertainty. 4. In the most supported models, polar bear survival declined with an increasing number of days per year that waters over the continental shelf were ice free. In 2001-2003, the ice-free period was relatively short (mean 101 days) and adult female survival was high (0 ∙ 96-0 ∙ 99, depending on reproductive state). In 2004 and 2005, the ice-free period was longer (mean 135 days) and adult female survival was low (0 ∙ 73-0 ∙ 79, depending on reproductive state). Breeding rates and cub litter survival also declined with increasing duration of the ice-free period. Confidence intervals on vital rate estimates were wide. 5. The effects of sea ice loss on polar bears in the southern Beaufort Sea may apply to polar bear populations in other portions of the polar basin that have similar sea ice dynamics and have experienced similar, or more severe, sea ice declines. Our findings therefore are relevant to the extinction risk facing approximately one-third of the world's polar bears.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Animal Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"British Ecological Society","doi":"10.1111/j.1365-2656.2009.01603.x","issn":"00218790","usgsCitation":"Regehr, E., Hunter, C., Caswell, H., Amstrup, S.C., and Stirling, I., 2010, Survival and breeding of polar bears in the southern Beaufort Sea in relation to sea ice: Journal of Animal Ecology, v. 79, no. 1, p. 117-127, https://doi.org/10.1111/j.1365-2656.2009.01603.x.","startPage":"117","endPage":"127","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":244324,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216453,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2656.2009.01603.x"}],"volume":"79","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-12-11","publicationStatus":"PW","scienceBaseUri":"505ba2ade4b08c986b31f899","contributors":{"authors":[{"text":"Regehr, E.V.","contributorId":90937,"corporation":false,"usgs":true,"family":"Regehr","given":"E.V.","affiliations":[],"preferred":false,"id":451336,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hunter, C.M.","contributorId":19670,"corporation":false,"usgs":true,"family":"Hunter","given":"C.M.","email":"","affiliations":[],"preferred":false,"id":451334,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caswell, H.","contributorId":103114,"corporation":false,"usgs":true,"family":"Caswell","given":"H.","email":"","affiliations":[],"preferred":false,"id":451337,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amstrup, Steven C.","contributorId":67034,"corporation":false,"usgs":false,"family":"Amstrup","given":"Steven","email":"","middleInitial":"C.","affiliations":[{"id":13182,"text":"Polar Bears International","active":true,"usgs":false}],"preferred":false,"id":451335,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stirling, I.","contributorId":103615,"corporation":false,"usgs":false,"family":"Stirling","given":"I.","email":"","affiliations":[],"preferred":false,"id":451338,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70035583,"text":"70035583 - 2010 - Causes for the decline of suspended-sediment discharge in the Mississippi River system, 1940-2007","interactions":[],"lastModifiedDate":"2012-03-12T17:21:50","indexId":"70035583","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Causes for the decline of suspended-sediment discharge in the Mississippi River system, 1940-2007","docAbstract":"Before 1900, the Missouri-Mississippi River system transported an estimated 400 million metric tons per year of sediment from the interior of the United States to coastal Louisiana. During the last two decades (1987-2006), this transport has averaged 145 million metric tons per year. The cause for this substantial decrease in sediment has been attributed to the trapping characteristics of dams constructed on the muddy part of the Missouri River during the 1950s. However, reexamination of more than 60 years of water- and sediment-discharge data indicates that the dams alone are not the sole cause. These dams trap about 100-150 million metric tons per year, which represent about half the decrease in sediment discharge near the mouth of the Mississippi. Changes in relations between water discharge and suspended-sediment concentration suggest that the Missouri-Mississippi has been transformed from a transport-limited to a supply-limited system. Thus, other engineering activities such as meander cutoffs, river-training structures, and bank revetments as well as soil erosion controls have trapped sediment, eliminated sediment sources, or protected sediment that was once available for transport episodically throughout the year. Removing major engineering structures such as dams probably would not restore sediment discharges to pre-1900 state, mainly because of the numerous smaller engineering structures and other soil-retention works throughout the Missouri-Mississippi system. ?? 2009 John Wiley & Sons, Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1002/hyp.7477","issn":"08856087","usgsCitation":"Meade, R., and Moody, J.A., 2010, Causes for the decline of suspended-sediment discharge in the Mississippi River system, 1940-2007: Hydrological Processes, v. 24, no. 1, p. 35-49, https://doi.org/10.1002/hyp.7477.","startPage":"35","endPage":"49","numberOfPages":"15","costCenters":[],"links":[{"id":216452,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.7477"},{"id":244323,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-10-13","publicationStatus":"PW","scienceBaseUri":"5059f3d2e4b0c8380cd4b9aa","contributors":{"authors":[{"text":"Meade, R.H.","contributorId":27449,"corporation":false,"usgs":true,"family":"Meade","given":"R.H.","email":"","affiliations":[],"preferred":false,"id":451332,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moody, J. A.","contributorId":32930,"corporation":false,"usgs":true,"family":"Moody","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":451333,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70033972,"text":"70033972 - 2010 - Decadal-timescale estuarine geomorphic change under future scenarios of climate and sediment supply","interactions":[],"lastModifiedDate":"2018-09-18T09:53:44","indexId":"70033972","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Decadal-timescale estuarine geomorphic change under future scenarios of climate and sediment supply","docAbstract":"Future estuarine geomorphic change, in response to climate change, sea-level rise, and watershed sediment supply, may govern ecological function, navigation, and water quality. We estimated geomorphic changes in Suisun Bay, CA, under four scenarios using a tidal-timescale hydrodynamic/sediment transport model. Computational expense and data needs were reduced using the morphological hydrograph concept and the morphological acceleration factor. The four scenarios included (1) present-day conditions; (2) sea-level rise and freshwater flow changes of 2030; (3) sea-level rise and decreased watershed sediment supply of 2030; and (4) sea-level rise, freshwater flow changes, and decreased watershed sediment supply of 2030. Sea-level rise increased water levels thereby reducing wave-induced bottom shear stress and sediment redistribution during the wind-wave season. Decreased watershed sediment supply reduced net deposition within the estuary, while minor changes in freshwater flow timing and magnitude induced the smallest overall effect. In all future scenarios, net deposition in the entire estuary and in the shallowest areas did not keep pace with sea-level rise, suggesting that intertidal and wetland areas may struggle to maintain elevation. Tidal-timescale simulations using future conditions were also used to infer changes in optical depth: though sea-level rise acts to decrease mean light irradiance, decreased suspended-sediment concentrations increase irradiance, yielding small changes in optical depth. The modeling results also assisted with the development of a dimensionless estuarine geomorphic number representing the ratio of potential sediment import forces to sediment export forces; we found the number to be linearly related to relative geomorphic change in Suisun Bay. The methods implemented here are widely applicable to evaluating future scenarios of estuarine change over decadal timescales. ?? The Author(s) 2009.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Estuaries and Coasts","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s12237-009-9244-y","issn":"15592723","usgsCitation":"Ganju, N., and Schoellhamer, D., 2010, Decadal-timescale estuarine geomorphic change under future scenarios of climate and sediment supply: Estuaries and Coasts, v. 33, no. 1, p. 15-29, https://doi.org/10.1007/s12237-009-9244-y.","startPage":"15","endPage":"29","numberOfPages":"15","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":475812,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-009-9244-y","text":"Publisher Index Page"},{"id":244760,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216862,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12237-009-9244-y"}],"volume":"33","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-12-19","publicationStatus":"PW","scienceBaseUri":"5059fe01e4b0c8380cd4ea75","contributors":{"authors":[{"text":"Ganju, N. K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":64782,"corporation":false,"usgs":true,"family":"Ganju","given":"N. K.","affiliations":[],"preferred":false,"id":443462,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoellhamer, D. H. 0000-0001-9488-7340","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":85624,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"D. H.","affiliations":[],"preferred":false,"id":443463,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70034638,"text":"70034638 - 2010 - Occurrence of the Great Lake's most recent invader, Hemimysis anomala, in the diet of fishes in southeastern Lake Ontario","interactions":[],"lastModifiedDate":"2013-02-28T13:39:08","indexId":"70034638","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Occurrence of the Great Lake's most recent invader, Hemimysis anomala, in the diet of fishes in southeastern Lake Ontario","docAbstract":"The Ponto-Caspian mysid, Hemimysis anomala, was first observed in southeastern Lake Ontario in May 2006. During July and August 2007, gill nets were fished in 6 to 8 m of water at two locations of known Hemimysis colonization in southeastern Lake Ontario to determine if fish that consume macroinvertebrates were beginning to include this new invasive mysid in their diets. Of nine fish species captured in August, September, and October 2007, three species had consumed Hemimysis: alewife (Alosa pseudoharengus), rock bass (Ambloplites rupestris), and yellow perch (Perca flavescens); and six species had not: round goby Apollonia melanostoma, smallmouth bass Micropterus dolomieu, spottail shiner Notropis hudsonius, gizzard shad Dorosoma cepedianum, white perch Morone americana and log perch Percina caprodes. Diets of alewives from all samples were composed predominantly of Hemimysis (69.6% -100% frequency of occurrence, 46.0%–74.5% dry weight diet composition). Two of 6 rock bass stomachs sampled in August contained ≥ 98.9% Hemimysis (10 and 40 individuals each) and one of 61 yellow perch stomachs sampled in September contained 10.0% Hemimysis (6 individuals) and 90.0% fish. While Hemimysis were observed only sparsely in the diet of most nearshore fish, their predominance in alewife diets and their omnivorous feeding behavior indicated that they have the potential to alter energy flow in Great Lakes' foodwebs.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jglr.2009.12.002","issn":"03801330","usgsCitation":"Lantry, B., Walsh, M.G., Johnson, J.H., and McKenna, J., 2010, Occurrence of the Great Lake's most recent invader, Hemimysis anomala, in the diet of fishes in southeastern Lake Ontario: Journal of Great Lakes Research, v. 36, no. 1, p. 179-183, https://doi.org/10.1016/j.jglr.2009.12.002.","productDescription":"5 p.","startPage":"179","endPage":"183","costCenters":[{"id":357,"text":"Lake Ontario Biological Station","active":false,"usgs":true}],"links":[{"id":215779,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2009.12.002"},{"id":243604,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Lake Ontario","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.1391,43.073 ], [ -80.1391,44.2705 ], [ -75.9829,44.2705 ], [ -75.9829,43.073 ], [ -80.1391,43.073 ] ] ] } } ] }","volume":"36","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6c39e4b0c8380cd74afe","contributors":{"authors":[{"text":"Lantry, B.F.","contributorId":19105,"corporation":false,"usgs":true,"family":"Lantry","given":"B.F.","email":"","affiliations":[],"preferred":false,"id":446812,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walsh, M. G.","contributorId":72172,"corporation":false,"usgs":true,"family":"Walsh","given":"M.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":446814,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, J. H.","contributorId":54914,"corporation":false,"usgs":true,"family":"Johnson","given":"J.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":446813,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKenna, J.E. Jr.","contributorId":106065,"corporation":false,"usgs":true,"family":"McKenna","given":"J.E.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":446815,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70034637,"text":"70034637 - 2010 - Saturn's icy satellites investigated by Cassini-VIMS. II. Results at the end of nominal mission","interactions":[],"lastModifiedDate":"2012-03-12T17:21:41","indexId":"70034637","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Saturn's icy satellites investigated by Cassini-VIMS. II. Results at the end of nominal mission","docAbstract":"We report the detailed analysis of the spectrophotometric properties of Saturn's icy satellites as derived by full-disk observations obtained by visual and infrared mapping spectrometer (VIMS) experiment aboard Cassini. In this paper, we have extended the coverage until the end of the Cassini's nominal mission (June 1st 2008), while a previous paper (Filacchione, G., and 28 colleagues [2007]. Icarus 186, 259-290, hereby referred to as Paper I) reported the preliminary results of this study. During the four years of nominal mission, VIMS has observed the entire population of Saturn's icy satellites allowing us to make a comparative analysis of the VIS-NIR spectral properties of the major satellites (Mimas, Enceladus, Tethys, Dione, Rhea, Hyperion, Iapetus) and irregular moons (Atlas, Prometheus, Pandora, Janus, Epimetheus, Telesto, Calypso, Phoebe). The results we discuss here are derived from the entire dataset available at June 2008 which consists of 1417 full-disk observations acquired from a variety of distances and inclinations from the equatorial plane, with different phase angles and hemispheric coverage. The most important spectrophotometric indicators (as defined in Paper I: I/F continua at 0.55 ??m, 1.822 ??m and 3.547 ??m, visible spectral slopes, water and carbon dioxide bands depths and positions) are calculated for each observation in order to investigate the disk-integrated composition of the satellites, the distribution of water ice respect to \"contaminants\" abundances and typical regolith grain properties. These quantities vary from the almost pure water ice surfaces of Enceladus and Calypso to the organic and carbon dioxide rich Hyperion, Iapetus and Phoebe. Janus visible colors are intermediate between these two classes having a slightly positive spectral slope. These results could help to decipher the origins and evolutionary history of the minor moons of the Saturn's system. We introduce a polar representation of the spectrophotometric parameters as function of the solar phase angle (along radial distance) and of the effective longitude interval illuminated by the Sun and covered by VIMS during the observation (in azimuth) to better investigate the spatial distribution of the spectrophotometric quantities across the regular satellites hemispheres. Finally, we report the observed spectral positions of the 4.26 ??m band of the carbon dioxide present in the surface material of three outermost moons Hyperion, Iapetus and Phoebe. ?? 2009 Elsevier Inc.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Icarus","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.icarus.2009.11.006","issn":"00191035","usgsCitation":"Filacchione, G., Capaccioni, F., Clark, R.N., Cuzzi, J., Cruikshank, D.P., Coradini, A., Cerroni, P., Nicholson, P.D., McCord, T.B., Brown, R.H., Buratti, B.J., Tosi, F., Nelson, R., Jaumann, R., and Stephan, K., 2010, Saturn's icy satellites investigated by Cassini-VIMS. II. Results at the end of nominal mission: Icarus, v. 206, no. 2, p. 507-523, https://doi.org/10.1016/j.icarus.2009.11.006.","startPage":"507","endPage":"523","numberOfPages":"17","costCenters":[],"links":[{"id":215778,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.icarus.2009.11.006"},{"id":243603,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"206","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b86f8e4b08c986b31622b","contributors":{"authors":[{"text":"Filacchione, G.","contributorId":48740,"corporation":false,"usgs":true,"family":"Filacchione","given":"G.","affiliations":[],"preferred":false,"id":446804,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Capaccioni, F.","contributorId":90900,"corporation":false,"usgs":true,"family":"Capaccioni","given":"F.","email":"","affiliations":[],"preferred":false,"id":446811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clark, R. N.","contributorId":6568,"corporation":false,"usgs":true,"family":"Clark","given":"R.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":446797,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cuzzi, J.N.","contributorId":53962,"corporation":false,"usgs":true,"family":"Cuzzi","given":"J.N.","email":"","affiliations":[],"preferred":false,"id":446806,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cruikshank, D. P.","contributorId":51434,"corporation":false,"usgs":false,"family":"Cruikshank","given":"D.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":446805,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Coradini, A.","contributorId":34679,"corporation":false,"usgs":true,"family":"Coradini","given":"A.","affiliations":[],"preferred":false,"id":446802,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cerroni, P.","contributorId":7869,"corporation":false,"usgs":true,"family":"Cerroni","given":"P.","affiliations":[],"preferred":false,"id":446798,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nicholson, P. D.","contributorId":54330,"corporation":false,"usgs":false,"family":"Nicholson","given":"P.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":446807,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McCord, T. B.","contributorId":69695,"corporation":false,"usgs":false,"family":"McCord","given":"T.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":446809,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Brown, R. H.","contributorId":19931,"corporation":false,"usgs":false,"family":"Brown","given":"R.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":446801,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Buratti, B. J.","contributorId":69280,"corporation":false,"usgs":false,"family":"Buratti","given":"B.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":446808,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tosi, F.","contributorId":9472,"corporation":false,"usgs":false,"family":"Tosi","given":"F.","email":"","affiliations":[{"id":34654,"text":"Istituto di Astrofisica e Planetologia Spaziali, INAF","active":true,"usgs":false}],"preferred":false,"id":446800,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Nelson, R.M.","contributorId":38316,"corporation":false,"usgs":true,"family":"Nelson","given":"R.M.","email":"","affiliations":[],"preferred":false,"id":446803,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Jaumann, R.","contributorId":81232,"corporation":false,"usgs":false,"family":"Jaumann","given":"R.","email":"","affiliations":[],"preferred":false,"id":446810,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Stephan, K.","contributorId":8976,"corporation":false,"usgs":true,"family":"Stephan","given":"K.","email":"","affiliations":[],"preferred":false,"id":446799,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70034636,"text":"70034636 - 2010 - Fine scale daily movements and habitat use of East Pacific green turtles at a shallow coastal lagoon in Baja California Sur, Mexico","interactions":[],"lastModifiedDate":"2017-05-17T09:25:51","indexId":"70034636","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2277,"text":"Journal of Experimental Marine Biology and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Fine scale daily movements and habitat use of East Pacific green turtles at a shallow coastal lagoon in Baja California Sur, Mexico","docAbstract":"Green turtles spend most of their lives in coastal foraging areas where they face multiple anthropogenic impacts. Therefore, understanding their spatial use in this environment is a priority for conservation efforts. We studied the fine scale daily movements and habitat use of East Pacific green turtles (Chelonia mydas) at Laguna San Ignacio, a shallow coastal lagoon in Baja California Sur, Mexico where sea turtles are subject to high levels of gillnet bycatch and directed hunting. Six turtles ranging from 44.6 to 83.5 cm in straight carapace length were tracked for short deployments (1 to 6 d) with GPS-VHF telemetry. Turtles were active throughout diurnal, nocturnal, and crepuscular periods. Although they moved greater total distances during daytime, their speed of travel and net displacement remained consistent throughout 24-h periods. A positive selection for areas of seagrass and moderate water depth (5 to 10 m) was determined using Ivlev's electivity index, with neutral selection for shallow water (< 5 m) and avoidance of deep water (> 10 m). Turtles exhibited two distinct behavioral movement patterns: circular movements with high fidelity to the capture–release location and meandering movements with low fidelity to the capture–release location. Our results indicate that green turtles were active throughout the diel cycle while traveling large distances and traversing multiple habitats over short temporal scales.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jembe.2010.06.017","issn":"00220981","usgsCitation":"Senko, J., Koch, V., Megill, W.M., Carthy, R.R., Templeton, R.P., and Nichols, W.J., 2010, Fine scale daily movements and habitat use of East Pacific green turtles at a shallow coastal lagoon in Baja California Sur, Mexico: Journal of Experimental Marine Biology and Ecology, v. 391, no. 1-2, p. 92-100, https://doi.org/10.1016/j.jembe.2010.06.017.","productDescription":"9 p.","startPage":"92","endPage":"100","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-022304","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":243572,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215749,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jembe.2010.06.017"}],"country":"Mexico","state":"Baja California Sur","otherGeospatial":"Laguna San Ignacio","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.05892944335936,\n 26.60756044926576\n ],\n [\n -113.05343627929688,\n 26.64009391980515\n ],\n [\n -113.15231323242186,\n 26.754807764968632\n ],\n [\n -113.12759399414062,\n 26.79465448763808\n ],\n [\n -113.16879272460938,\n 26.796493229509068\n ],\n [\n -113.17703247070312,\n 26.768295913354663\n ],\n [\n -113.19625854492188,\n 26.765230565697482\n ],\n [\n -113.22921752929686,\n 26.782395446979752\n ],\n [\n -113.23196411132812,\n 26.796493229509068\n ],\n [\n -113.19969177246094,\n 26.789138083223477\n ],\n [\n -113.19351196289062,\n 26.80997642583652\n ],\n [\n -113.13858032226562,\n 26.857767562796056\n ],\n [\n -113.12965393066406,\n 26.90676315228667\n ],\n [\n -113.15299987792969,\n 26.979604764019346\n ],\n [\n -113.170166015625,\n 26.994901638048926\n ],\n [\n -113.17497253417967,\n 26.987559398067376\n ],\n [\n -113.18527221679688,\n 26.969201701911345\n ],\n [\n -113.20243835449219,\n 26.920845451974085\n ],\n [\n -113.19694519042969,\n 26.893903866183123\n ],\n [\n -113.20381164550781,\n 26.85164162108547\n ],\n [\n -113.23951721191406,\n 26.83571262083463\n ],\n [\n -113.25187683105469,\n 26.84490270219663\n ],\n [\n -113.26766967773438,\n 26.821619714264695\n ],\n [\n -113.26972961425781,\n 26.75603402644174\n ],\n [\n -113.23745727539061,\n 26.73089302213736\n ],\n [\n -113.18115234375,\n 26.716787098616493\n ],\n [\n -113.15780639648438,\n 26.69593166188054\n ],\n [\n -113.13926696777344,\n 26.664641348582713\n ],\n [\n -113.11729431152344,\n 26.656664013239183\n ],\n [\n -113.08845520019531,\n 26.64316263704834\n ],\n [\n -113.08570861816406,\n 26.62720440710078\n ],\n [\n -113.05892944335936,\n 26.60756044926576\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"391","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1020e4b0c8380cd53b31","contributors":{"authors":[{"text":"Senko, Jesse","contributorId":9080,"corporation":false,"usgs":true,"family":"Senko","given":"Jesse","email":"","affiliations":[],"preferred":false,"id":446791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koch, Volker","contributorId":64475,"corporation":false,"usgs":false,"family":"Koch","given":"Volker","email":"","affiliations":[],"preferred":false,"id":446794,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Megill, William M.","contributorId":56062,"corporation":false,"usgs":false,"family":"Megill","given":"William","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":446793,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carthy, Raymond R. 0000-0001-8978-5083 rayc@usgs.gov","orcid":"https://orcid.org/0000-0001-8978-5083","contributorId":3685,"corporation":false,"usgs":true,"family":"Carthy","given":"Raymond","email":"rayc@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":446796,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Templeton, R.obert P.","contributorId":44003,"corporation":false,"usgs":false,"family":"Templeton","given":"R.obert","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":446792,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nichols, Wallace J.","contributorId":81106,"corporation":false,"usgs":false,"family":"Nichols","given":"Wallace","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":446795,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70034635,"text":"70034635 - 2010 - A late Miocene-early Pliocene chain of lakes fed by the Colorado River: Evidence from Sr, C, and O isotopes of the Bouse Formation and related units between Grand Canyon and the Gulf of California","interactions":[],"lastModifiedDate":"2021-12-03T15:31:17.791811","indexId":"70034635","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"A late Miocene-early Pliocene chain of lakes fed by the Colorado River: Evidence from Sr, C, and O isotopes of the Bouse Formation and related units between Grand Canyon and the Gulf of California","docAbstract":"We report strontium isotopic results for the late Miocene Hualapai Limestone of the Lake Mead area (Arizona-Nevada) and the latest Miocene to early Pliocene Bouse Formation and related units of the lower Colorado River trough (Arizona-California-Nevada), together with parallel oxygen and carbon isotopic analyses of Bouse samples, to constrain the lake-overflow model for integration of the Colorado River. Sr isotopic analyses on the basal 1–5 cm of marl, in particular along a transect over a range of altitude in the lowest-altitude basin that contains freshwater, brackish, and marine fossils, document the 87Sr/86Sr of first-arriving Bouse waters. Results reinforce the similarity between the 87Sr/86Sr of Bouse Formation carbonates and present-day Colorado River water, and the systematic distinction of these values from Neogene marine Sr. Basal Bouse samples show that 87Sr/86Sr decreased from 0.7111 to values in the range 0.7107–0.7109 during early basin filling. 87Sr/86Sr values from a recently identified marl in the Las Vegas area are within the range of Bouse Sr ratios. 87Sr/86Sr values from the Hualapai Limestone decrease upsection from 0.7195 to 0.7137, in the approach to a time soon after 6 Ma when Hualapai deposition ceased and the Colorado River became established through the Lake Mead area. Bouse Formation δ18O values range from –12.9‰ to +1.0‰ Vienna Pee Dee belemnite (VPDB), and δ13C between –6.5‰ and +3.4‰ VPDB. Negative δ18O values appear to require a continental origin for waters, and the trend to higher δ18O suggests evaporation in lake waters. Sr and stable isotopic results for sectioned barnacle shells and from bedding planes of the marine fish fossil Colpichthys regis demonstrate that these animals lived in saline freshwater, and that there is no evidence for incursions of marine water, either long-lived or brief in duration. Lack of correlation of Sr and O isotopic variations in the same samples also argue strongly against systematic replacement of Sr in Bouse carbonates after deposition. Our results reinforce the conclusion that the Bouse Formation was deposited in a descending series of basins connected by overflow of Colorado River water. The Hualapai Limestone records a separate and earlier lake that may have been progressively influenced by Colorado River water as the time of river integration approached.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/B30186.1","issn":"00167606","usgsCitation":"Roskowski, J.A., Patchett, P., Spencer, J., Pearthree, P., Dettman, D.L., Faulds, J.E., and Reynolds, A.C., 2010, A late Miocene-early Pliocene chain of lakes fed by the Colorado River: Evidence from Sr, C, and O isotopes of the Bouse Formation and related units between Grand Canyon and the Gulf of California: Geological Society of America Bulletin, v. 122, no. 9-10, p. 1625-1636, https://doi.org/10.1130/B30186.1.","productDescription":"12 p.","startPage":"1625","endPage":"1636","numberOfPages":"12","costCenters":[],"links":[{"id":243571,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Arizona, Baja California, California, Nevada, Sonora","otherGeospatial":"Colorado River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.75195312499999,\n 31.38177878211098\n ],\n [\n -113.99414062499999,\n 31.38177878211098\n ],\n [\n -113.99414062499999,\n 35.96911507577482\n ],\n [\n -115.75195312499999,\n 35.96911507577482\n ],\n [\n -115.75195312499999,\n 31.38177878211098\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"122","issue":"9-10","noUsgsAuthors":false,"publicationDate":"2010-05-10","publicationStatus":"PW","scienceBaseUri":"5059e434e4b0c8380cd464c4","contributors":{"authors":[{"text":"Roskowski, J. A.","contributorId":95292,"corporation":false,"usgs":true,"family":"Roskowski","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":446789,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patchett, P. J.","contributorId":55152,"corporation":false,"usgs":true,"family":"Patchett","given":"P. J.","affiliations":[],"preferred":false,"id":446785,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spencer, J.E.","contributorId":91542,"corporation":false,"usgs":true,"family":"Spencer","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":446788,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearthree, P. A.","contributorId":77236,"corporation":false,"usgs":false,"family":"Pearthree","given":"P. A.","affiliations":[],"preferred":false,"id":446786,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dettman, D. L.","contributorId":100538,"corporation":false,"usgs":true,"family":"Dettman","given":"D.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":446790,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Faulds, J. E.","contributorId":84854,"corporation":false,"usgs":true,"family":"Faulds","given":"J.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":446787,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reynolds, A. C.","contributorId":35110,"corporation":false,"usgs":true,"family":"Reynolds","given":"A.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":446784,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70034073,"text":"70034073 - 2010 - Soil carbon flux following pulse precipitation events in the shortgrass steppe","interactions":[],"lastModifiedDate":"2012-03-12T17:21:43","indexId":"70034073","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1461,"text":"Ecological Research","active":true,"publicationSubtype":{"id":10}},"title":"Soil carbon flux following pulse precipitation events in the shortgrass steppe","docAbstract":"Pulses of water availability characterize semiarid and arid ecosystems. Most precipitation events in these ecosystems are small (???10 mm), but can stimulate carbon flux. The large proportion of carbon stored belowground and small carbon inputs create the potential for these small precipitation events to have large effects on carbon cycling. Land-use change can modify these effects through alteration of the biota and soil resources. The goal of our research was to determine how small precipitation events (2, 5, and 10 mm) affected the dynamics of soil carbon flux and water loss in previously cultivated Conservation Reserve Program (CRP) fields and undisturbed shortgrass steppe. Total carbon loss and duration of elevated carbon flux increased as event size increased in all field types. Time since cultivation increased in importance for carbon flux as event size increased. A comparison of water loss rates to carbon flux suggests that water is limiting to carbon flux for the smallest events, but is less limiting for events above 5 mm. We also describe how water availability interacts with temperature in controlling carbon flux rate. We conclude that small precipitation events have the potential for large short-term losses of carbon in the shortgrass steppe. ?? 2009 The Ecological Society of Japan.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s11284-009-0651-0","issn":"09123814","usgsCitation":"Munson, S., Benton, T., Lauenroth, W., and Burke, I., 2010, Soil carbon flux following pulse precipitation events in the shortgrass steppe: Ecological Research, v. 25, no. 1, p. 205-211, https://doi.org/10.1007/s11284-009-0651-0.","startPage":"205","endPage":"211","numberOfPages":"7","costCenters":[],"links":[{"id":216933,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11284-009-0651-0"},{"id":244835,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-10-16","publicationStatus":"PW","scienceBaseUri":"505b91f0e4b08c986b319bc3","contributors":{"authors":[{"text":"Munson, S.M.","contributorId":33554,"corporation":false,"usgs":true,"family":"Munson","given":"S.M.","email":"","affiliations":[],"preferred":false,"id":443941,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benton, T.J.","contributorId":18605,"corporation":false,"usgs":true,"family":"Benton","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":443940,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lauenroth, W.K.","contributorId":59755,"corporation":false,"usgs":true,"family":"Lauenroth","given":"W.K.","affiliations":[],"preferred":false,"id":443943,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burke, I.C.","contributorId":47611,"corporation":false,"usgs":true,"family":"Burke","given":"I.C.","email":"","affiliations":[],"preferred":false,"id":443942,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70035391,"text":"70035391 - 2010 - Theory, methods and tools for determining environmental flows for riparian vegetation: Riparian vegetation-flow response guilds","interactions":[],"lastModifiedDate":"2012-03-12T17:21:56","indexId":"70035391","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","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":"Theory, methods and tools for determining environmental flows for riparian vegetation: Riparian vegetation-flow response guilds","docAbstract":"Riparian vegetation composition, structure and abundance are governed to a large degree by river flow regime and flow-mediated fluvial processes. Streamflow regime exerts selective pressures on riparian vegetation, resulting in adaptations (trait syndromes) to specific flow attributes. Widespread modification of flow regimes by humans has resulted in extensive alteration of riparian vegetation communities. Some of the negative effects of altered flow regimes on vegetation may be reversed by restoring components of the natural flow regime. 2. Models have been developed that quantitatively relate components of the flow regime to attributes of riparian vegetation at the individual, population and community levels. Predictive models range from simple statistical relationships, to more complex stochastic matrix population models and dynamic simulation models. Of the dozens of predictive models reviewed here, most treat one or a few species, have many simplifying assumptions such as stable channel form, and do not specify the time-scale of response. In many cases, these models are very effective in developing alternative streamflow management plans for specific river reaches or segments but are not directly transferable to other rivers or other regions. 3. A primary goal in riparian ecology is to develop general frameworks for prediction of vegetation response to changing environmental conditions. The development of riparian vegetation-flow response guilds offers a framework for transferring information from rivers where flow standards have been developed to maintain desirable vegetation attributes, to rivers with little or no existing information. 4. We propose to organise riparian plants into non-phylogenetic groupings of species with shared traits that are related to components of hydrologic regime: life history, reproductive strategy, morphology, adaptations to fluvial disturbance and adaptations to water availability. Plants from any river or region may be grouped into these guilds and related to hydrologic attributes of a specific class of river using probabilistic response curves. 5. Probabilistic models based on riparian response guilds enable prediction of the likelihood of change in each of the response guilds given projected changes in flow, and facilitate examination of trade-offs and risks associated with various flow management strategies. Riparian response guilds can be decomposed to the species level for individual projects or used to develop flow management guidelines for regional water management plans. ?? 2009 Published.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Freshwater Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1365-2427.2009.02206.x","issn":"00465070","usgsCitation":"Merritt, D., Scott, M.L., Leroy, P.N., Auble, G., and Lytle, D., 2010, Theory, methods and tools for determining environmental flows for riparian vegetation: Riparian vegetation-flow response guilds: Freshwater Biology, v. 55, no. 1, p. 206-225, https://doi.org/10.1111/j.1365-2427.2009.02206.x.","startPage":"206","endPage":"225","numberOfPages":"20","costCenters":[],"links":[{"id":215103,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2427.2009.02206.x"},{"id":242877,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-12-15","publicationStatus":"PW","scienceBaseUri":"505bb204e4b08c986b325554","contributors":{"authors":[{"text":"Merritt, D.M.","contributorId":11025,"corporation":false,"usgs":true,"family":"Merritt","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":450432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scott, M. L.","contributorId":75090,"corporation":false,"usgs":true,"family":"Scott","given":"M.","middleInitial":"L.","affiliations":[],"preferred":false,"id":450434,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leroy, Poff N.","contributorId":108330,"corporation":false,"usgs":true,"family":"Leroy","given":"Poff","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":450436,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Auble, G.T.","contributorId":19505,"corporation":false,"usgs":true,"family":"Auble","given":"G.T.","email":"","affiliations":[],"preferred":false,"id":450433,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lytle, D.A.","contributorId":85422,"corporation":false,"usgs":true,"family":"Lytle","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":450435,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}