The Ozark National Scenic Riverways (ONSR) was created in 1964 to protect 134 miles of the Current River and its major tributary, the Jacks Fork, that are located in south-central Missouri (fig. 1). The park includes numerous large karst springs including Big Spring, by flow volume this is the largest spring in the National Park system. The National Park Service (NPS) administers a narrow, nearly continuous corridor of land adjacent to the two rivers. Base flow for the rivers is chiefly supplied by groundwater that has traveled through the karst landscape from as far as 38 miles away from the spring (Imes and Frederick, 2002). The watershed is vulnerable to pollution, but the area remains largely rural with few industries. The springs and rivers provide habitat for numerous aquatic species as well as recreational resources for floaters, fishermen, and campers. The ONSR is a major cave park with hundreds of known caves and diverse in-cave resources.
","language":"English","publisher":"George Wright Society","collaboration":"National Park Service","usgsCitation":"Weary, D.J., and Grant, V.M., 2014, USGS geologic Mapping and karst research in the Ozark National Scenic Riverways, Missouri, USA: George Wright Society Forum, v. 31, no. 2, p. 157-167.","productDescription":"10 p.","startPage":"157","endPage":"167","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051107","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":322140,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":322137,"type":{"id":15,"text":"Index Page"},"url":"https://www.georgewright.org/node/10198"}],"country":"United States","state":"Missouri","otherGeospatial":"Ozark National Scenic Rivers","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.61361694335938,\n 36.893899678382716\n ],\n [\n -91.61361694335938,\n 37.276238364942955\n ],\n [\n -90.93795776367188,\n 37.276238364942955\n ],\n [\n -90.93795776367188,\n 36.893899678382716\n ],\n [\n -91.61361694335938,\n 36.893899678382716\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5752aa3ae4b053f0edd13ebf","contributors":{"authors":[{"text":"Weary, David J. 0000-0002-6115-6397 dweary@usgs.gov","orcid":"https://orcid.org/0000-0002-6115-6397","contributorId":545,"corporation":false,"usgs":true,"family":"Weary","given":"David","email":"dweary@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":631760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grant, Victoria M","contributorId":170004,"corporation":false,"usgs":false,"family":"Grant","given":"Victoria","email":"","middleInitial":"M","affiliations":[{"id":5106,"text":"National Park Service, Yellowstone National Park, Mammoth, Wyoming 82190","active":true,"usgs":false}],"preferred":false,"id":631761,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173468,"text":"70173468 - 2014 - Predictive Management of Asian Carps in the Upper Mississippi River System","interactions":[],"lastModifiedDate":"2016-06-17T13:57:45","indexId":"70173468","displayToPublicDate":"2015-12-16T14:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5040,"text":"Reviews in Fisheries Science & Aquaculture","onlineIssn":"2330-8257","printIssn":"2330-8249","active":true,"publicationSubtype":{"id":10}},"title":"Predictive Management of Asian Carps in the Upper Mississippi River System","docAbstract":"Prolific non-native organisms pose serious threats to ecosystems and economies worldwide. Nonnative bighead carp (Hypophthalmichthys nobilis) and silver carp (H. molitrix), collectively referred to as Asian carps, continue to colonize aquatic ecosystems throughout the central United States. These species are r-selected, exhibiting iteroparous spawning, rapid growth, broad environmental tolerance, high density, and long-distance movement. Hydrological, thermal, and physicochemical conditions are favorable for establishment beyond the current range, rendering containment and control imperative. Ecological approaches to confine Asian carp populations and prevent colonization characterize contemporary management in the United States. Foraging and reproduction of Asian carps govern habitat selection and movement, providing valuable insight for predictive control. Current management approaches are progressive and often anticipatory but deficient in human dimensions. We define predictive management of Asian carps as synthesis of ecology and human dimensions at regional and local scales to develop strategies for containment and control. We illustrate predictive management in the Upper Mississippi River System and suggest resource managers integrate predictive models, containment paradigms, and human dimensions to design effective, socially acceptable management strategies. Through continued research, university-agency collaboration, and public engagement, predictive management of Asian carps is an auspicious paradigm for preventing and alleviating consequences of colonization in the United States.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/23308249.2014.967747","usgsCitation":"Vondracek, B.C., and Carlson, A.K., 2014, Predictive Management of Asian Carps in the Upper Mississippi River System: Reviews in Fisheries Science & Aquaculture, v. 22, no. 4, p. 284-300, https://doi.org/10.1080/23308249.2014.967747.","productDescription":"16 p.","startPage":"284","endPage":"300","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054341","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323904,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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temperature","interactions":[],"lastModifiedDate":"2016-06-17T14:44:17","indexId":"70173457","displayToPublicDate":"2015-12-15T14:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"A regional neural network model for predicting mean daily river water temperature","docAbstract":"Water temperature is a fundamental property of river habitat and often a key aspect of river resource management, but measurements to characterize thermal regimes are not available for most streams and rivers. As such, we developed an artificial neural network (ANN) ensemble model to predict mean daily water temperature in 197,402 individual stream reaches during the warm season (May–October) throughout the native range of brook trout Salvelinus fontinalis in the eastern U.S. We compared four models with different groups of predictors to determine how well water temperature could be predicted by climatic, landform, and land cover attributes, and used the median prediction from an ensemble of 100 ANNs as our final prediction for each model. The final model included air temperature, landform attributes and forested land cover and predicted mean daily water temperatures with moderate accuracy as determined by root mean squared error (RMSE) at 886 training sites with data from 1980 to 2009 (RMSE = 1.91 °C). Based on validation at 96 sites (RMSE = 1.82) and separately for data from 2010 (RMSE = 1.93), a year with relatively warmer conditions, the model was able to generalize to new stream reaches and years. The most important predictors were mean daily air temperature, prior 7 day mean air temperature, and network catchment area according to sensitivity analyses. Forest land cover at both riparian and catchment extents had relatively weak but clear negative effects. Predicted daily water temperature averaged for the month of July matched expected spatial trends with cooler temperatures in headwaters and at higher elevations and latitudes. Our ANN ensemble is unique in predicting daily temperatures throughout a large region, while other regional efforts have predicted at relatively coarse time steps. The model may prove a useful tool for predicting water temperatures in sampled and unsampled rivers under current conditions and future projections of climate and land use changes, thereby providing information that is valuable to management of river ecosystems and biota such as brook trout.
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Because of the low spatiotemporal variation in capture probability and a strong correlation between first-pass CPUE (catch/min) and three-pass removal density estimates, the use of an abundance index based on first-pass CPUE could represent a cost-effective alternative to conducting multiple-pass removal sampling for some Brook Trout monitoring and assessment objectives. Single-pass indices may be particularly relevant for monitoring objectives that do not require precise site-specific estimates, such as regional monitoring programs that are designed to detect long-term linear trends in density.
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PA","active":true,"usgs":false}],"preferred":false,"id":639614,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Detar, Jason","contributorId":171356,"corporation":false,"usgs":false,"family":"Detar","given":"Jason","email":"","affiliations":[{"id":26873,"text":"Pennsylvania Fish and Boat Commission, Bellefonte, PA","active":true,"usgs":false}],"preferred":false,"id":639615,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kristine, David","contributorId":172107,"corporation":false,"usgs":false,"family":"Kristine","given":"David","email":"","affiliations":[],"preferred":false,"id":639616,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"John A. Sweka","contributorId":171358,"corporation":false,"usgs":false,"family":"John A. Sweka","affiliations":[{"id":26874,"text":"USFWS, Lamar, PA","active":true,"usgs":false}],"preferred":false,"id":639617,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70173450,"text":"70173450 - 2014 - Modeling spatially-varying landscape change points in species occurrence thresholds","interactions":[],"lastModifiedDate":"2016-06-20T12:48:28","indexId":"70173450","displayToPublicDate":"2015-12-15T02:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Modeling spatially-varying landscape change points in species occurrence thresholds","docAbstract":"Predicting species distributions at scales of regions to continents is often necessary, as large-scale phenomena influence the distributions of spatially structured populations. Land use and land cover are important large-scale drivers of species distributions, and landscapes are known to create species occurrence thresholds, where small changes in a landscape characteristic results in abrupt changes in occurrence. The value of the landscape characteristic at which this change occurs is referred to as a change point. We present a hierarchical Bayesian threshold model (HBTM) that allows for estimating spatially varying parameters, including change points. Our model also allows for modeling estimated parameters in an effort to understand large-scale drivers of variability in land use and land cover on species occurrence thresholds. We use range-wide detection/nondetection data for the eastern brook trout (Salvelinus fontinalis), a stream-dwelling salmonid, to illustrate our HBTM for estimating and modeling spatially varying threshold parameters in species occurrence. We parameterized the model for investigating thresholds in landscape predictor variables that are measured as proportions, and which are therefore restricted to values between 0 and 1. Our HBTM estimated spatially varying thresholds in brook trout occurrence for both the proportion agricultural and urban land uses. There was relatively little spatial variation in change point estimates, although there was spatial variability in the overall shape of the threshold response and associated uncertainty. In addition, regional mean stream water temperature was correlated to the change point parameters for the proportion of urban land use, with the change point value increasing with increasing mean stream water temperature. We present a framework for quantify macrosystem variability in spatially varying threshold model parameters in relation to important large-scale drivers such as land use and land cover. Although the model presented is a logistic HBTM, it can easily be extended to accommodate other statistical distributions for modeling species richness or abundance.
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critical zone processes","interactions":[],"lastModifiedDate":"2017-10-26T11:12:27","indexId":"70159864","displayToPublicDate":"2015-12-01T15:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Hydrogeochemistry of prairie pothole region wetlands: Role of long-term critical zone processes","docAbstract":"This study addresses the geologic and hydrogeochemical processes operating at a range of scales within the prairie pothole region (PPR). The PPR is a 750,000 km2portion of north central North America that hosts millions of small wetlands known to be critical habitat for waterfowl and other wildlife. At a local scale, we characterized the geochemical evolution of the 92-ha Cottonwood Lake study area (CWLSA), located in North Dakota, USA. Critical zone processes are the long-term determinant of wetland water and groundwater geochemistry via the interaction of oxygenated groundwater with pyrite in the underlying glacial till. Pyrite oxidation produced a brown, iron oxide-bearing surface layer locally over 13 m thick and an estimated minimum of 1.3 × 1010 g sulfate (SO42 −) at CWLSA. We show that the majority of this SO42− now resides in solid-phase gypsum (CaSO4•2H2O) and gypsum-saturated groundwater.
\nResults from the CWLSA were scaled up to a 9700 km2 area surrounding CWLSA using ~ 1800 drill logs and literature data on wetland water chemistry for 178 wetlands within this larger area. The oxidized brown zone depth and wetland water compositional trends are very similar to the CWLSA. Additionally, surface water data from 176 southern Canadian pothole wetlands that conform to the same wetland water geochemical trends as those recorded in the CWLSA further corroborate that SO42 − accumulation driven by pyrite oxidation is a nearly ubiquitous process in the prairie pothole region and distinguishes PPR wetlands from other wetlands worldwide that have a similar overall hydrology.
","language":"English","publisher":"ScienceDirect","doi":"10.1016/j.chemgeo.2014.08.023","usgsCitation":"Goldhaber, M.B., Mills, C., Morrison, J.M., Stricker, C.A., Mushet, D.M., and LaBaugh, J.W., 2014, Hydrogeochemistry of prairie pothole region wetlands: Role of long-term critical zone processes: Chemical Geology, v. 387, p. 170-183, https://doi.org/10.1016/j.chemgeo.2014.08.023.","productDescription":"14 p.","startPage":"170","endPage":"183","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-036658","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":311772,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Manitoba, North Dakota, Saskatchewan","otherGeospatial":"Cottonwood Lake Study Area, Erickson-Elphinstone District, Moose Mountain Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.370361328125,\n 46.44542749723387\n ],\n [\n -103.370361328125,\n 50.078294547389426\n ],\n [\n -98.887939453125,\n 50.078294547389426\n ],\n [\n -98.887939453125,\n 46.44542749723387\n ],\n [\n -103.370361328125,\n 46.44542749723387\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"387","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"565ec4afe4b071e7ea54440f","chorus":{"doi":"10.1016/j.chemgeo.2014.08.023","url":"http://dx.doi.org/10.1016/j.chemgeo.2014.08.023","publisher":"Elsevier BV","authors":"Goldhaber Martin B., Mills Christopher T., Morrison Jean M., Stricker Craig A., Mushet David M., LaBaugh James W.","journalName":"Chemical Geology","publicationDate":"11/2014","auditedOn":"11/1/2014"},"contributors":{"authors":[{"text":"Goldhaber, Martin B. 0000-0002-1785-4243 mgold@usgs.gov","orcid":"https://orcid.org/0000-0002-1785-4243","contributorId":1339,"corporation":false,"usgs":true,"family":"Goldhaber","given":"Martin","email":"mgold@usgs.gov","middleInitial":"B.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":580795,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mills, Christopher T. 0000-0001-8414-1414 cmills@usgs.gov","orcid":"https://orcid.org/0000-0001-8414-1414","contributorId":150137,"corporation":false,"usgs":true,"family":"Mills","given":"Christopher T.","email":"cmills@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":580791,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morrison, Jean M. 0000-0002-6614-8783 jmorrison@usgs.gov","orcid":"https://orcid.org/0000-0002-6614-8783","contributorId":994,"corporation":false,"usgs":true,"family":"Morrison","given":"Jean","email":"jmorrison@usgs.gov","middleInitial":"M.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":580794,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":580792,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":580793,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"LaBaugh, James W. 0000-0002-4112-2536 jlabaugh@usgs.gov","orcid":"https://orcid.org/0000-0002-4112-2536","contributorId":1311,"corporation":false,"usgs":true,"family":"LaBaugh","given":"James","email":"jlabaugh@usgs.gov","middleInitial":"W.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":580796,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70137858,"text":"70137858 - 2014 - Ancient fish and recent invaders: white sturgeon Acipenser transmontanus diet response to invasive-species-mediated changes in a benthic prey assemblage","interactions":[],"lastModifiedDate":"2015-01-14T09:24:01","indexId":"70137858","displayToPublicDate":"2015-12-01T09:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Ancient fish and recent invaders: white sturgeon Acipenser transmontanus diet response to invasive-species-mediated changes in a benthic prey assemblage","docAbstract":"Invasive organisms can have significant impacts on native species, and the San Francisco Estuary (SFE), California, USA, is one of the world's most invaded estuaries. Decline of native white sturgeon Acipenser transmontanus abundance in the SFE has been acknowledged, but underlying mechanisms are poorly understood. Invasion by the overbite clam Potamocorbula amurensis has drastically altered the SFE benthic prey community, yet little is known about how this change has affected sturgeon diets. We investigated changes in the diet of white sturgeon following the overbite clam invasion and subsequent shift in the SFE benthic prey assemblage. Gut content analysis was used to compare white sturgeon prey composition and importance between the pre- and post-invasion periods. Additionally, stable isotope analysis was employed to estimate the assimilation of prey items to sturgeon biomass. Overbite clams dominated diets in the post-invasion period, accounting for 82 to 93% of total volume. Stable isotope analysis confirmed the importance of this prey item, although their assimilated contribution to sturgeon biomass was estimated to be less (70 to 83%) than gut contents indicated. The frequency of fish in white sturgeon guts increased in the post-invasion period, and isotope analysis indicated relatively large contributions of fish to sturgeon biomass (3.7 to 19%). The trophic adaptability of white sturgeon has allowed them to exploit this new prey source (overbite clam). Future conservation and restoration efforts must consider a potentially destabilized food web given the large importance of a single prey item.
","language":"English","publisher":"Inter-Research","publisherLocation":"Oldendorf, Germany","doi":"10.3354/meps11002","usgsCitation":"Zeug, S.C., Brodsky, A., Kogut, N., Stewart, A.R., and Merz, J., 2014, Ancient fish and recent invaders: white sturgeon Acipenser transmontanus diet response to invasive-species-mediated changes in a benthic prey assemblage: Marine Ecology Progress Series, v. 514, p. 163-174, https://doi.org/10.3354/meps11002.","productDescription":"12 p.","startPage":"163","endPage":"174","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057136","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":472511,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps11002","text":"Publisher Index Page"},{"id":297219,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297218,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.int-res.com/abstracts/meps/v514/p163-174/"}],"volume":"514","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"565ec4ade4b071e7ea544403","contributors":{"authors":[{"text":"Zeug, Steven C","contributorId":138647,"corporation":false,"usgs":false,"family":"Zeug","given":"Steven","email":"","middleInitial":"C","affiliations":[{"id":12475,"text":"Cramer Fish Sciences, Auburn, CA","active":true,"usgs":false}],"preferred":false,"id":538201,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brodsky, Annie","contributorId":138648,"corporation":false,"usgs":false,"family":"Brodsky","given":"Annie","affiliations":[{"id":12475,"text":"Cramer Fish Sciences, Auburn, CA","active":true,"usgs":false}],"preferred":false,"id":538202,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kogut, Nina","contributorId":138649,"corporation":false,"usgs":false,"family":"Kogut","given":"Nina","email":"","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":538203,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stewart, A. Robin 0000-0003-2918-546X arstewar@usgs.gov","orcid":"https://orcid.org/0000-0003-2918-546X","contributorId":1482,"corporation":false,"usgs":true,"family":"Stewart","given":"A.","email":"arstewar@usgs.gov","middleInitial":"Robin","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":40553,"text":"WMA - Office of the Chief Operating Officer","active":true,"usgs":true}],"preferred":true,"id":538200,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Merz, Joe","contributorId":138650,"corporation":false,"usgs":false,"family":"Merz","given":"Joe","affiliations":[{"id":12475,"text":"Cramer Fish Sciences, Auburn, CA","active":true,"usgs":false}],"preferred":false,"id":538204,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70159504,"text":"70159504 - 2014 - A new method of snowmelt sampling for water stable isotopes","interactions":[],"lastModifiedDate":"2015-11-10T10:48:03","indexId":"70159504","displayToPublicDate":"2015-11-01T00:00:00","publicationYear":"2014","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":"A new method of snowmelt sampling for water stable isotopes","docAbstract":"We modified a passive capillary sampler (PCS) to collect snowmelt water for isotopic analysis. Past applications of PCSs have been to sample soil water, but the novel aspect of this study was the placement of the PCSs at the ground-snowpack interface to collect snowmelt. We deployed arrays of PCSs at 11 sites in ten partner countries on five continents representing a range of climate and snow cover worldwide. The PCS reliably collected snowmelt at all sites and caused negligible evaporative fractionation effects in the samples. PCS is low-cost, easy to install, and collects a representative integrated snowmelt sample throughout the melt season or at the melt event scale. Unlike snow cores, the PCS collects the water that would actually infiltrate the soil; thus, its isotopic composition is appropriate to use for tracing snowmelt water through the hydrologic cycle. The purpose of this Briefing is to show the potential advantages of PCSs and recommend guidelines for constructing and installing them based on our preliminary results from two snowmelt seasons.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.10273","usgsCitation":"Penna, D., Ahmad, M., Birks, S.J., Bouchaou, L., Brencic, M., Butt, S., Holko, L., Jeelani, G., Martinez, D.E., Melikadze, G., Shanley, J.B., Sokratov, S.A., Stadnyk, T., Sugimoto, A., and Vreca, P., 2014, A new method of snowmelt sampling for water stable isotopes: Hydrological Processes, v. 28, no. 22, p. 5637-5644, https://doi.org/10.1002/hyp.10273.","productDescription":"8 p.","startPage":"5637","endPage":"5644","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057208","costCenters":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"links":[{"id":502447,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11336/34420","text":"External Repository"},{"id":311152,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Argentina, Canada, Georgia, Italy, Morocco, Pakistan, Russia, Slovakia, Slovenia, United States","volume":"28","issue":"22","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2014-07-15","publicationStatus":"PW","scienceBaseUri":"56432339e4b0aafbcd017fc2","contributors":{"authors":[{"text":"Penna, D.","contributorId":149728,"corporation":false,"usgs":false,"family":"Penna","given":"D.","email":"","affiliations":[{"id":17793,"text":"University of Padova, Italy","active":true,"usgs":false}],"preferred":false,"id":579272,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ahmad, M.","contributorId":149729,"corporation":false,"usgs":false,"family":"Ahmad","given":"M.","email":"","affiliations":[{"id":17794,"text":"International Atomic Energy Agency","active":true,"usgs":false}],"preferred":false,"id":579273,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Birks, S. J.","contributorId":149730,"corporation":false,"usgs":false,"family":"Birks","given":"S.","email":"","middleInitial":"J.","affiliations":[{"id":17795,"text":"Alberta Innovates, Canada","active":true,"usgs":false}],"preferred":false,"id":579274,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bouchaou, L.","contributorId":149731,"corporation":false,"usgs":false,"family":"Bouchaou","given":"L.","email":"","affiliations":[{"id":17796,"text":"University Ibn Zohrof Agadir, Morocco","active":true,"usgs":false}],"preferred":false,"id":579275,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brencic, M.","contributorId":149732,"corporation":false,"usgs":false,"family":"Brencic","given":"M.","email":"","affiliations":[{"id":17797,"text":"Unversity of Ljubliana, Slovenia","active":true,"usgs":false}],"preferred":false,"id":579276,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Butt, S.","contributorId":149733,"corporation":false,"usgs":false,"family":"Butt","given":"S.","email":"","affiliations":[{"id":17798,"text":"Pakisatan Institute of Nuclear Science and Technology","active":true,"usgs":false}],"preferred":false,"id":579277,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Holko, L.","contributorId":149734,"corporation":false,"usgs":false,"family":"Holko","given":"L.","email":"","affiliations":[{"id":17799,"text":"Slovak Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":579278,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jeelani, G.","contributorId":149735,"corporation":false,"usgs":false,"family":"Jeelani","given":"G.","affiliations":[{"id":17800,"text":"University of Kashmir, Srinagar, India","active":true,"usgs":false}],"preferred":false,"id":579279,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Martinez, D. E.","contributorId":149736,"corporation":false,"usgs":false,"family":"Martinez","given":"D.","email":"","middleInitial":"E.","affiliations":[{"id":17801,"text":"National University of Plata del Mar, Argentina","active":true,"usgs":false}],"preferred":false,"id":579280,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Melikadze, G.","contributorId":149737,"corporation":false,"usgs":false,"family":"Melikadze","given":"G.","email":"","affiliations":[{"id":17802,"text":"Tbilisi State University, Tbilisi, Georgia","active":true,"usgs":false}],"preferred":false,"id":579281,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Shanley, J. B.","contributorId":52226,"corporation":false,"usgs":true,"family":"Shanley","given":"J.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":579271,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sokratov, S. A.","contributorId":149738,"corporation":false,"usgs":false,"family":"Sokratov","given":"S.","email":"","middleInitial":"A.","affiliations":[{"id":17803,"text":"Moscow State University, Russia","active":true,"usgs":false}],"preferred":false,"id":579282,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Stadnyk, T.","contributorId":149739,"corporation":false,"usgs":false,"family":"Stadnyk","given":"T.","email":"","affiliations":[{"id":17804,"text":"University of Manitoba, Canada","active":true,"usgs":false}],"preferred":false,"id":579283,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sugimoto, A.","contributorId":149740,"corporation":false,"usgs":false,"family":"Sugimoto","given":"A.","email":"","affiliations":[{"id":17805,"text":"Hokkaido University, Sapporo, Japan","active":true,"usgs":false}],"preferred":false,"id":579284,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Vreca, P.","contributorId":149741,"corporation":false,"usgs":false,"family":"Vreca","given":"P.","email":"","affiliations":[{"id":17806,"text":"Jožef Stefan Institute, Ljubljana, Slovenia","active":true,"usgs":false}],"preferred":false,"id":579285,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70173438,"text":"70173438 - 2014 - The importance of context dependency for understanding the effects of low flow events on fish","interactions":[],"lastModifiedDate":"2016-06-20T14:58:26","indexId":"70173438","displayToPublicDate":"2015-10-22T18:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"The importance of context dependency for understanding the effects of low flow events on fish","docAbstract":"The natural hydrology of streams and rivers has been extensively altered by dam construction, water diversion, and climate change. An increased frequency of low-flow events will affect fish by changing habitat availability, resource availability, and reproductive cues. I reviewed the literature to characterize the approaches taken to assess low-flow events and fish, the main effects of low-flow events on fish, and the associated mechanistic drivers. Most studies are focused on temperate streams and are comparative in nature. Decreased stream flow is associated with decreased survival, growth, and abundance of fish populations and shifts in community composition, but effects are variable. This variability in effects is probably caused by context dependence. I propose 3 main sources of context dependence that drive the variation in fish responses to low-flow events: attributes of the low-flow event, attributes of the habitat, and attributes of the fish. Awareness of these sources of context dependence can help managers interpret and explain data, predict vulnerability of fish communities, and prioritize appropriate management actions.
","language":"English","publisher":"University of Chicago","doi":"10.1086/683831","usgsCitation":"Walters, A.W., 2014, The importance of context dependency for understanding the effects of low flow events on fish: Freshwater Science, v. 35, no. 1, p. 216-228, https://doi.org/10.1086/683831.","productDescription":"12 p.","startPage":"216","endPage":"228","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055923","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":324030,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576913ece4b07657d19ff2a0","contributors":{"authors":[{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637132,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70173405,"text":"70173405 - 2014 - Effects of invasive European bird cherry (Prunus padus) on leaf litter processing by aquatic invertebrate shredder communities in urban Alaskan streams","interactions":[],"lastModifiedDate":"2016-06-08T12:54:53","indexId":"70173405","displayToPublicDate":"2015-09-21T17:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Effects of invasive European bird cherry (Prunus padus) on leaf litter processing by aquatic invertebrate shredder communities in urban Alaskan streams","docAbstract":"European bird cherry (Prunus padus) (EBC) is an invasive ornamental tree that is spreading rapidly in riparian forests of urban Alaska. To determine how the spread of EBC affects leaf litter processing by aquatic invertebrate shredders, we conducted complementary leaf pack experiments in two streams located in Anchorage, Alaska. The first experiment contrasted invasive EBC with three native tree species—thin-leaf alder (Alnus tenuifolia), paper birch (Betula neoalaskana), and black cottonwood (Populus trichocarpa)—in one reach of Chester Creek; finding that EBC leaf litter broke down significantly faster than birch and cottonwood, but at a similar rate to alder. The second experiment contrasted EBC with alder in four reaches of Campbell and Chester creeks; finding that while EBC leaf litter broke down significantly faster than alder in Chester Creek, EBC broke down at a similar rate to alder in Campbell Creek. Although EBC sometimes supported fewer shredders by both count and mass, shredder communities did not differ significantly between EBC and native plants. Collectively, these data suggest that invasive EBC is not currently exhibiting strong negative impacts on leaf litter processing in these streams, but could if it continues to spread and further displaces native species over time.
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2014 - Experimental additions of aluminum sulfate and ammonium nitrate to in situ mesocosms to reduce cyanobacterial biovolume and microcystin concentration","interactions":[],"lastModifiedDate":"2020-12-31T19:07:00.566417","indexId":"70040680","displayToPublicDate":"2015-08-09T12:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2592,"text":"Lake and Reservoir Management","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Experimental additions of aluminum sulfate and ammonium nitrate to in situ mesocosms to reduce cyanobacterial biovolume and microcystin concentration","title":"Experimental additions of aluminum sulfate and ammonium nitrate to in situ mesocosms to reduce cyanobacterial biovolume and microcystin concentration","docAbstract":"Recent studies suggest that nitrogen additions to increase the total nitrogen:total phosphorus (TN:TP) ratio may reduce cyanobacterial biovolume and microcystin concentration in reservoirs. In systems where TP is >100 μg/L, however, nitrogen additions to increase the TN:TP ratio could cause ammonia, nitrate, or nitrite toxicity to terrestrial and aquatic organisms. Reducing phosphorus via aluminum sulfate (alum) may be needed prior to nitrogen additions aimed at increasing the TN:TP ratio. We experimentally tested this sequential management approach in large in situ mesocosms (70.7 m3) to examine effects on cyanobacteria and microcystin concentration. Because alum removes nutrients and most seston from the water column, alum treatment reduced both TN and TP, leaving post-treatment TN:TP ratios similar to pre-treatment ratios. Cyanobacterial biovolume was reduced after alum addition, but the percent composition (i.e., relative) cyanobacterial abundance remained unchanged. A single ammonium nitrate (nitrogen) addition increased the TN:TP ratio 7-fold. After the TN:TP ratio was >50 (by weight), cyanobacterial biovolume and abundance were reduced, and chrysophyte and cryptophyte biovolume and abundance increased compared to the alum treatment. Microcystin was not detectable until the TN:TP ratio was <50. Although both treatments reduced cyanobacteria, only the nitrogen treatment seemed to stimulate energy flow from primary producers to zooplankton, which suggests that combining alum and nitrogen treatments may be a viable in-lake management strategy to reduce cyanobacteria and possibly microcystin concentrations in high-phosphorus systems. Additional studies are needed to define best management practices before combined alum and nitrogen additions are implemented as a reservoir management strategy.
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Food collection for filter-feeding fishes, such as Silver Carp, is influenced by the species-specific structure of their gill rakers. To investigate structural variation in gill rakers of Silver Carp, the morphology of gill rakers was quantified and compared with that of a native filter-feeding fish species which may compete with Silver Carp for food resources, Gizzard Shad Dorosoma cepedianum. Intra- and interspecies variation of gill rakers was examined in both species collected from three locations among four months. Interspecies analysis indicated the size of pores in gill rakers of Silver Carp were much larger than the interraker spacings of Gizzard Shad (95% CI ranged from 80.69 to 185.75 μm versus 16.72 to 47.36 μm, respectively). Intraspecies variation of gill rakers from Silver Carp was related to the overall size of fish and occurred only among sites where dissimilar sizes of fish were collected. This suggested the size of particles filtered by Silver Carp may be dependent upon ontogenic development rather than phenotypic plasticity in response to spatial or temporal factors. Intraspecies variation of gill rakers from Gizzard Shad occurred among site and monthly sampling data; however, variation was only attributable to overall size of fish for monthly sampling data. This suggested ontogeny may influence the filter-feeding ability of this species within a habitat. However, variation noted among sites, which was not attributable to size of fish, may indicate gill rakers are phenotypically plastic among Gizzard Shad populations of various river systems of the upper Mississippi River basin.
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That is, they do not quantify the probabilistic nature of fire danger. In this work we use large fire occurrence information from the Monitoring Trends in Burn Severity project, and satellite and surface observations of fuel conditions in the form of the Fire Potential Index, to estimate two aspects of fire danger: 1) the probability that a 1 acre ignition will result in a 100+ acre fire, and 2) the probabilities of having at least 1, 2, 3, or 4 large fires within a Predictive Services Area in the forthcoming week. These statistical processes are the main thrust of the paper and are used to produce two daily national forecasts that are available from the U.S. Geological Survey, Earth Resources Observation and Science Center and via the Wildland Fire Assessment System. A validation study of our forecasts for the 2013 fire season demonstrated good agreement between observed and forecasted values.
","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings of the large wildland fires conference","conferenceTitle":"Large wildland fires conference","conferenceDate":"May 19-23, 2014","conferenceLocation":"Missoula, MT","language":"English","publisher":"Rocky Mountain Research Station","usgsCitation":"Eidenshink, J.C., Preisler, H.K., Howard, S., and Burgan, R.E., 2014, Forecasting distribution of numbers of large fires, 6 p.","productDescription":"6 p.","startPage":"181","endPage":"187","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056101","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":311326,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"564717c5e4b0e2669b313110","contributors":{"authors":[{"text":"Eidenshink, Jeffery C. eidenshink@usgs.gov","contributorId":1352,"corporation":false,"usgs":true,"family":"Eidenshink","given":"Jeffery","email":"eidenshink@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":518897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Preisler, Haiganoush K.","contributorId":149862,"corporation":false,"usgs":false,"family":"Preisler","given":"Haiganoush","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":579827,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howard, Stephen","contributorId":149863,"corporation":false,"usgs":false,"family":"Howard","given":"Stephen","affiliations":[],"preferred":false,"id":579828,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burgan, Robert E.","contributorId":149864,"corporation":false,"usgs":false,"family":"Burgan","given":"Robert","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":579829,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70040681,"text":"70040681 - 2014 - Metal stable isotopes in weathering and hydrology","interactions":[],"lastModifiedDate":"2020-05-14T18:18:53.419076","indexId":"70040681","displayToPublicDate":"2015-07-07T09:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"10","title":"Metal stable isotopes in weathering and hydrology","docAbstract":"This chapter highlights some of the major developments in the understanding of the causes of metal stable isotope compositional variability in and isotope fractionation between natural materials and provides numerous examples of how that understanding is providing new insights into weathering and hydrology. At this stage, our knowledge of causes of stable isotope compositional variability among natural materials is greatest for the metals lithium, magnesium, calcium, and iron, the isotopes of which have already provided important information on weathering and hydrological processes. Stable isotope compositional variability for other metals such as strontium, copper, zinc, chromium, barium, molybdenum, mercury, cadmium, and nickel has been demonstrated but is only beginning to be applied to questions related to weathering and hydrology, and several research groups are currently exploring the potential. And then there are other metals such as titanium, vanadium, rhenium, and tungsten that have yet to be explored for variability of stable isotope composition in natural materials, but which may hold untold surprises in their utility. This impressive list of metals having either demonstrated or potential stable isotope signals that could be used to address important unsolved questions related to weathering and hydrology, constitutes a powerful toolbox that will be increasingly utilized in the coming decades.
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","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Zweig, C.L., Rice, K.G., Percival, H.F., and Mazzotti, F., 2014, Condition Factor Analysis for the American alligator (Alligator mississippiensis): Herpetological Review, v. 45, no. 2, p. 216-219.","productDescription":"4 p.","startPage":"216","endPage":"219","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044489","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":306797,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d305b0e4b0518e35468ce2","contributors":{"authors":[{"text":"Zweig, Christa L.","contributorId":99767,"corporation":false,"usgs":true,"family":"Zweig","given":"Christa","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":568247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rice, Kenneth G. 0000-0001-8282-1088 krice@usgs.gov","orcid":"https://orcid.org/0000-0001-8282-1088","contributorId":117,"corporation":false,"usgs":true,"family":"Rice","given":"Kenneth","email":"krice@usgs.gov","middleInitial":"G.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":568248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Percival, H. Franklin percivalf@usgs.gov","contributorId":2424,"corporation":false,"usgs":true,"family":"Percival","given":"H.","email":"percivalf@usgs.gov","middleInitial":"Franklin","affiliations":[],"preferred":true,"id":564255,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mazzotti, Frank J.","contributorId":90236,"corporation":false,"usgs":true,"family":"Mazzotti","given":"Frank J.","affiliations":[],"preferred":false,"id":568249,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70150403,"text":"70150403 - 2014 - Establishing endangered species recovery criteria using predictive simulation modeling","interactions":[],"lastModifiedDate":"2015-06-24T09:43:12","indexId":"70150403","displayToPublicDate":"2015-06-24T10:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Establishing endangered species recovery criteria using predictive simulation modeling","docAbstract":"Listing a species under the Endangered Species Act (ESA) and developing a recovery plan requires U.S. Fish and Wildlife Service to establish specific and measurable criteria for delisting. Generally, species are listed because they face (or are perceived to face) elevated risk of extinction due to issues such as habitat loss, invasive species, or other factors. Recovery plans identify recovery criteria that reduce extinction risk to an acceptable level. It logically follows that the recovery criteria, the defined conditions for removing a species from ESA protections, need to be closely related to extinction risk. Extinction probability is a population parameter estimated with a model that uses current demographic information to project the population into the future over a number of replicates, calculating the proportion of replicated populations that go extinct. We simulated extinction probabilities of piping plovers in the Great Plains and estimated the relationship between extinction probability and various demographic parameters. We tested the fit of regression models linking initial abundance, productivity, or population growth rate to extinction risk, and then, using the regression parameter estimates, determined the conditions required to reduce extinction probability to some pre-defined acceptable threshold. Binomial regression models with mean population growth rate and the natural log of initial abundance were the best predictors of extinction probability 50 years into the future. For example, based on our regression models, an initial abundance of approximately 2400 females with an expected mean population growth rate of 1.0 will limit extinction risk for piping plovers in the Great Plains to less than 0.048. Our method provides a straightforward way of developing specific and measurable recovery criteria linked directly to the core issue of extinction risk. Published by Elsevier Ltd.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2014.06.018","usgsCitation":"McGowan, C., Catlin, D.H., Shaffer, T.L., Gratto-Trevor, C.L., and Aron, C., 2014, Establishing endangered species recovery criteria using predictive simulation modeling: Biological Conservation, v. 177, p. 220-229, https://doi.org/10.1016/j.biocon.2014.06.018.","productDescription":"10 p.","startPage":"220","endPage":"229","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046359","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":302272,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"177","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558bc6b1e4b0b6d21dd65290","contributors":{"authors":[{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":3381,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor P.","email":"cmcgowan@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":556759,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Catlin, Daniel H.","contributorId":87859,"corporation":false,"usgs":false,"family":"Catlin","given":"Daniel","email":"","middleInitial":"H.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":556762,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shaffer, Terry L. 0000-0001-6950-8951 tshaffer@usgs.gov","orcid":"https://orcid.org/0000-0001-6950-8951","contributorId":3192,"corporation":false,"usgs":true,"family":"Shaffer","given":"Terry","email":"tshaffer@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":556760,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gratto-Trevor, Cheri L.","contributorId":83630,"corporation":false,"usgs":true,"family":"Gratto-Trevor","given":"Cheri","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":556763,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aron, Carol","contributorId":143678,"corporation":false,"usgs":false,"family":"Aron","given":"Carol","email":"","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":556764,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70148027,"text":"70148027 - 2014 - Geologic and physiographic controls on bed-material yield, transport, and channel morphology for alluvial and bedrock rivers, western Oregon","interactions":[],"lastModifiedDate":"2019-04-24T16:25:07","indexId":"70148027","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Geologic and physiographic controls on bed-material yield, transport, and channel morphology for alluvial and bedrock rivers, western Oregon","docAbstract":"The rivers of western Oregon have diverse forms and characteristics, with channel substrates ranging from continuous alluvial gravel to bare bedrock. Analysis of several measurable morphologic attributes of 24 valley reaches on 17 rivers provides a basis for comparing nonalluvial and alluvial channels. Key differences are that alluvial reaches have greater bar area, greater migration rates, and show systematic correlation among variables relating grain size to bed-material transport capacity. We relate these differences between channel types to bed-material transport rates as derived from a coupled regional analysis of empirical sediment yield measurements and physical experiments of clast attrition during transport. This sediment supply analysis shows that overall bed-material transport rates for western Oregon are chiefly controlled by (1) lithology and basin slope, which are the key factors for bed-material supply into the stream network, and (2) lithologic control of bed-material attrition from in-transport abrasion and disintegration. This bed-material comminution strongly affects bed-material transport in the study area, reducing transport rates by 50%–90% along the length of the larger rivers in the study area. A comparison of the bed-material transport estimates with the morphologic analyses shows that alluvial gravel-bed channels have systematic and bounding relations between bed-material transport rate and attributes such as bar area and local transport capacity. By contrast, few such relations are evident for nonalluvial rivers with bedrock or mixed-bed substrates, which are apparently more influenced by local controls on channel geometry and sediment supply. At the scale of western Oregon, the physiographic and lithologic controls on the balance between bed-material supply and transport capacity exert far-reaching influence on the distribution of alluvial and nonalluvial channels and their consequently distinctive morphologies and behaviors—differences germane for understanding river response to tectonics and environmental perturbations, as well as for implementing effective restoration and monitoring strategies.
","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/B30831.1","usgsCitation":"O'Connor, J., Mangano, J.F., Anderson, S.A., Wallick, J., Jones, K.L., and Keith, M., 2014, Geologic and physiographic controls on bed-material yield, transport, and channel morphology for alluvial and bedrock rivers, western Oregon: GSA Bulletin, v. 126, no. 3-4, p. 377-397, https://doi.org/10.1130/B30831.1.","productDescription":"21 p.","startPage":"377","endPage":"397","ipdsId":"IP-042839","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":337807,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada, Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.75,\n 46.75\n ],\n [\n -119,\n 46.75\n ],\n [\n -119,\n 39.5\n ],\n [\n -124.75,\n 39.5\n ],\n [\n -124.75,\n 46.75\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"126","issue":"3-4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-01-07","publicationStatus":"PW","scienceBaseUri":"58ccf59ce4b0849ce97f0ce0","contributors":{"authors":[{"text":"O'Connor, James E. oconnor@usgs.gov","contributorId":138998,"corporation":false,"usgs":true,"family":"O'Connor","given":"James E.","email":"oconnor@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":546857,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mangano, Joseph F. 0000-0003-4213-8406 jmangano@usgs.gov","orcid":"https://orcid.org/0000-0003-4213-8406","contributorId":4722,"corporation":false,"usgs":true,"family":"Mangano","given":"Joseph","email":"jmangano@usgs.gov","middleInitial":"F.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":684956,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Scott A. 0000-0003-1678-5204 swanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-1678-5204","contributorId":150073,"corporation":false,"usgs":true,"family":"Anderson","given":"Scott","email":"swanderson@usgs.gov","middleInitial":"A.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":684957,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wallick, J. 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One of the goals of the Comprehensive Everglades Restoration Plan (CERP) is to restore historic freshwater flows to American crocodile habitat throughout the Everglades. To predict the impacts on the crocodile population from planned restoration activities, we created a stage-based spatially explicit crocodile population model that incorporated regional hydrology models and American crocodile research and monitoring data. Growth and survival were influenced by salinity, water depth, and density-dependent interactions. A stage-structured spatial model was used with discrete spatial convolution to direct crocodiles toward attractive sources where conditions were favorable. The model predicted that CERP would have both positive and negative impacts on American crocodile growth, survival, and distribution. Overall, crocodile populations across south Florida were predicted to decrease approximately 3 % with the implementation of CERP compared to future conditions without restoration, but local increases up to 30 % occurred in the Joe Bay area near Taylor Slough, and local decreases up to 30 % occurred in the vicinity of Buttonwood Canal due to changes in salinity and freshwater flows.
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However, the development of software decision support tools that integrate ecology, economics and geography that can be independently used within the public, private, academic and NGO sectors is a more recent phenomenon (Ruhl et al., 2007; Daily et al., 2009). Spurred by growing demand for more sophisticated analysis of the social and economic consequences of land management decisions, the US Department of Interior - Bureau of Land Management (BLM) launched a pilot project with the US Geological Survey (USGS) to assess the usefulness and feasibility of ecosystem service assessment and valuation tools to provide inputs to decision-making. The project analysed ecosystem services in the US portion of the San Pedro River watershed, which includes the BLM-managed San Pedro Riparian National Conservation Area (SPRNCA), to improve the understanding of complex social and ecological relationships that transcend administrative divisions. The BLM manages some 99 million hectares, primarily in the western United States, and 283 million hectares of sub-surface mineral estate. BLM's multiple-use mission requires that it appropriately balance non-extractive uses such as habitat conservation, recreation and archaeological heritage protection and the extractive use of resources such as timber, oil and gas, coal, uranium, and other minerals.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Handbook on the Economics of Ecosystem Services and Biodiversity","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elgar","doi":"10.4337/9781781951514","usgsCitation":"Bagstad, K.J., Semmens, D.J., Villa, F., and Johnson, G., 2014, Quantifying and valuing ecosystem services: An application of ARIES to the San Pedro River basin, USA, chap. 10 of Handbook on the Economics of Ecosystem Services and Biodiversity, p. 169-192, https://doi.org/10.4337/9781781951514.","productDescription":"24 p.","startPage":"169","endPage":"192","numberOfPages":"24","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-039016","costCenters":[],"links":[{"id":310774,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"San Pedro River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.70898437499999,\n 31.3348710339506\n ],\n [\n -111.70898437499999,\n 32.67174887226337\n ],\n [\n -109.44580078125,\n 32.67174887226337\n ],\n [\n -109.44580078125,\n 31.3348710339506\n ],\n [\n -111.70898437499999,\n 31.3348710339506\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56334340e4b048076347eedc","contributors":{"authors":[{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":578715,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Semmens, Darius J. 0000-0001-7924-6529 dsemmens@usgs.gov","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":1714,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius","email":"dsemmens@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":578716,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Villa, Ferdinando","contributorId":84249,"corporation":false,"usgs":true,"family":"Villa","given":"Ferdinando","affiliations":[],"preferred":false,"id":515906,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Gary","contributorId":119193,"corporation":false,"usgs":true,"family":"Johnson","given":"Gary","email":"","affiliations":[],"preferred":false,"id":515907,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70169897,"text":"70169897 - 2014 - The global dispersion of pathogenic microorganisms by dust storms and its relevance to agriculture","interactions":[],"lastModifiedDate":"2020-05-14T18:21:38.312277","indexId":"70169897","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"1","title":"The global dispersion of pathogenic microorganisms by dust storms and its relevance to agriculture","docAbstract":"Dust storms move an estimated 500–5000 Tg of soil through Earth’s atmosphere every year. Dust-storm transport of topsoils may have positive effects such as fertilization of aquatic and terrestrial ecosystems and the evolution of soils in proximal and distal environments. Negative effects may include the stripping of nutrient-rich topsoils from source regions, sandblasting of plant life in downwind environments, the fertilization of harmful algal blooms, and the transport of toxins (e.g., metals, pesticides, herbicides, etc.) and pathogenic microorganisms. With respect to the long-range dispersion of microorganisms and more specifically pathogens, research is just beginning to demonstrate the quantity and diversity of organisms that can survive this type of transport. Most studies to date have utilized different assays to identify microorganisms and microbial communities using predominately culture-based, and more recently nonculture-based, methodologies. There is a clear need for international-scale research efforts that apply standardized methods to advance this field of science. Here we present a review of dust-borne microorganisms with a focus on their relevance to agronomy.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Advances in agronomy","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-800131-8.00001-7","issn":"","isbn":"","usgsCitation":"Gonzalez-Martin, C., Teigell-Perez, N., Valladares, B., and Griffin, D.W., 2014, The global dispersion of pathogenic microorganisms by dust storms and its relevance to agriculture, chap. 1 of Advances in agronomy, v. 127, p. 1-41, https://doi.org/10.1016/B978-0-12-800131-8.00001-7.","productDescription":"41 p.","startPage":"1","endPage":"41","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053501","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488551,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7150032","text":"External Repository"},{"id":320168,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"127","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"571756fee4b0ef3b7caa6407","contributors":{"authors":[{"text":"Gonzalez-Martin, Cristina","contributorId":30084,"corporation":false,"usgs":true,"family":"Gonzalez-Martin","given":"Cristina","email":"","affiliations":[],"preferred":false,"id":625517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Teigell-Perez, Nuria","contributorId":53216,"corporation":false,"usgs":true,"family":"Teigell-Perez","given":"Nuria","email":"","affiliations":[],"preferred":false,"id":625518,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Valladares, Basilio","contributorId":62451,"corporation":false,"usgs":true,"family":"Valladares","given":"Basilio","email":"","affiliations":[],"preferred":false,"id":625519,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Griffin, Dale W. 0000-0003-1719-5812 dgriffin@usgs.gov","orcid":"https://orcid.org/0000-0003-1719-5812","contributorId":2178,"corporation":false,"usgs":true,"family":"Griffin","given":"Dale","email":"dgriffin@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":625516,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70100260,"text":"70100260 - 2014 - Status of important prey fishes in the U.S. waters of Lake Ontario, 2013: Introduction and methods","interactions":[],"lastModifiedDate":"2020-03-05T12:19:16","indexId":"70100260","displayToPublicDate":"2015-05-28T10:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5114,"text":"NYSDEC Lake Ontario Annual Report ","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"2013","chapter":"12","title":"Status of important prey fishes in the U.S. waters of Lake Ontario, 2013: Introduction and methods","docAbstract":"Lake Ontario has a mean depth of 86 m (282 ft) and a maximum depth of 244 m (801 ft) (Herdendorf 1982). The southern, New York portion of the lake has the deepest water (Figure 1). In New York waters, about 67% of the lake is <160 m (525 ft) deep and about 82% of the lake is <180 m (591 ft) deep. The U.S. Geological Survey (USGS) and New York State Department of Environmental Conservation (NYSDEC) have cooperatively assessed Lake Ontario prey fishes each year since 1978. Bottom trawl assessments were initially focused on Alewife Alosa pseudoharengus (April), Rainbow Smelt Osmerus mordax (June), and Slimy Sculpin Cottus cognatus (October). Seasonal survey timing corresponded to the peak catches in 1972 when collections were made every month May to October (Owens et al. 2003). Twelve transects were established at approximately 25-km intervals along the U.S. shoreline (Figure 2). Alewife assessment was conducted at all transects, Rainbow Smelt assessment at all transects except Fair Haven, and six transects representing eastern, southern, and western lake areas were sampled for Slimy Sculpin (Figure 2). Changes in the Lake Ontario ecosystem (species invasion, oligotrophication, native species rebound) require ongoing evaluation of current methods which sometimes necessitate redistribution of trawl effort, or changes in sampling designs and/or gear. For instance, the spring Alewife assessment is now used also to assess invasive Round Goby Neogobius melanostomus population dynamics. Likewise, the fall benthic fish assessment (formerly sculpin assessment) now also tracks dynamics of the rebounding native Deepwater Sculpin Myoxocephalus thompsonii population, the apparent declining population of Slimy Sculpin, and fall distribution of Round Goby.
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