Surface and groundwater samples within the Montezuma mining district were sampled to evaluate the use of strontium isotopic compositions as signatures of different water types. Waters draining Precambrian metamorphic units had distinctly higher 87Sr/ 86Sr values (0.72893 to 0.73833) than waters draining Tertiaryage plutonic rocks (0.71064 and 0.71114). Waters draining mine workings along Tertiary-age mineralized veins in Precambrian metamorphic units had isotopic compositions between these two endmembers such that Sr isotopic composition could not be used as a unique signature of mining-related waters.
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","language":"English","publisher":"Wiley","doi":"10.1111/gcbb.12388","usgsCitation":"Gu, Y., and Wylie, B.K., 2017, Mapping marginal croplands suitable for cellulosic feedstock crops in the Great Plains, United States: GCB Bioenergy, v. 9, no. 5, p. 836-844, https://doi.org/10.1111/gcbb.12388.","productDescription":"9 p.","startPage":"836","endPage":"844","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-077204","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":470163,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcbb.12388","text":"Publisher Index Page"},{"id":328803,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.90625,\n 48.951366470947725\n ],\n [\n -95.2734375,\n 48.951366470947725\n ],\n [\n -93.1640625,\n 44.18220395771566\n ],\n [\n -89.47265625,\n 42.391008609205045\n ],\n [\n -89.296875,\n 41.244772343082076\n ],\n [\n -89.6044921875,\n 36.20882309283712\n ],\n [\n -90.263671875,\n 32.24997445586331\n ],\n [\n -90.703125,\n 30.14512718337613\n ],\n [\n -93.9990234375,\n 29.305561325527698\n ],\n [\n -96.15234375,\n 28.57487404744697\n ],\n [\n -96.9873046875,\n 27.800209937418252\n ],\n [\n -97.20703125,\n 26.78484736105119\n ],\n [\n -96.8994140625,\n 26.194876675795218\n ],\n [\n -97.55859375,\n 25.958044673317843\n ],\n [\n -98.26171875,\n 26.194876675795218\n ],\n [\n -98.7451171875,\n 26.391869671769022\n ],\n [\n -99.2724609375,\n 26.980828590472107\n ],\n [\n -99.49218749999999,\n 27.566721430409707\n ],\n [\n -99.931640625,\n 27.916766641249065\n ],\n [\n -100.32714843749999,\n 28.806173508854776\n ],\n [\n -100.8544921875,\n 29.38217507514529\n ],\n [\n -101.689453125,\n 29.726222319395504\n ],\n [\n -102.26074218749999,\n 29.916852233070173\n ],\n [\n -103.18359375,\n 30.939924331023445\n ],\n [\n -114.169921875,\n 45.79816953017265\n ],\n [\n -113.90625,\n 48.951366470947725\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"5","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-14","publicationStatus":"PW","scienceBaseUri":"57f7c656e4b0bc0bec09c905","chorus":{"doi":"10.1111/gcbb.12388","url":"http://dx.doi.org/10.1111/gcbb.12388","publisher":"Wiley-Blackwell","authors":"Gu Yingxin, Wylie Bruce K.","journalName":"GCB Bioenergy","publicationDate":"9/14/2016","publiclyAccessibleDate":"9/14/2016"},"contributors":{"authors":[{"text":"Gu, Yingxin 0000-0002-3544-1856 ygu@usgs.gov","orcid":"https://orcid.org/0000-0002-3544-1856","contributorId":139586,"corporation":false,"usgs":true,"family":"Gu","given":"Yingxin","email":"ygu@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":649174,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":649175,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70178872,"text":"70178872 - 2017 - Pathogen transport in groundwater systems: Contrasts with traditional solute transport","interactions":[],"lastModifiedDate":"2018-03-30T12:49:41","indexId":"70178872","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Pathogen transport in groundwater systems: Contrasts with traditional solute transport","docAbstract":"Water quality affects many aspects of water availability, from precluding use to societal perceptions of fit-for-purpose. Pathogen source and transport processes are drivers of water quality because they have been responsible for numerous outbreaks resulting in large economic losses due to illness and, in some cases, loss of life. Outbreaks result from very small exposure (e.g., less than 20 viruses) from very strong sources (e.g., trillions of viruses shed by a single infected individual). Thus, unlike solute contaminants, an acute exposure to a very small amount of contaminated water can cause immediate adverse health effects. Similarly, pathogens are larger than solutes. Thus, interactions with surfaces and settling become important even as processes important for solutes such as diffusion become less important. These differences are articulated in “Colloid Filtration Theory”, a separate branch of pore-scale transport. Consequently, understanding pathogen processes requires changes in how groundwater systems are typically characterized, where the focus is on the leading edges of plumes and preferential flow paths, even if such features move only a very small fraction of the aquifer flow. Moreover, the relatively short survival times of pathogens in the subsurface require greater attention to very fast (<10 year) flow paths. By better understanding the differences between pathogen and solute transport mechanisms discussed here, a more encompassing view of water quality and source water protection is attained. With this more holistic view and theoretical understanding, better evaluations can be made regarding drinking water vulnerability and the relation between groundwater and human health.
","language":"English","publisher":"Springer","doi":"10.1007/s10040-016-1502-z","usgsCitation":"Hunt, R.J., and Johnson, W.P., 2017, Pathogen transport in groundwater systems: Contrasts with traditional solute transport: Hydrogeology Journal, v. 25, no. 4, p. 921-930, https://doi.org/10.1007/s10040-016-1502-z.","productDescription":"10 p.","startPage":"921","endPage":"930","ipdsId":"IP-078274","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":352814,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-06","publicationStatus":"PW","scienceBaseUri":"5afee8f8e4b0da30c1bfc502","contributors":{"authors":[{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, William P.","contributorId":107288,"corporation":false,"usgs":false,"family":"Johnson","given":"William","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":655390,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70192574,"text":"70192574 - 2017 - Arsenic hazard and associated health risks: New England, USA aquifers","interactions":[],"lastModifiedDate":"2020-08-20T19:43:42.152532","indexId":"70192574","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"A1","title":"Arsenic hazard and associated health risks: New England, USA aquifers","docAbstract":"No abstract available.
Chemical weathering of fluorine-bearing minerals is widely accepted as the main mechanism for the release of fluorine (F) to groundwater. Here, we propose a potential mechanism of F release via microbial dissolution of fluorapatite (Ca5(PO4)3F), which has been neglected previously. Batch culture experiments were conducted at 30°C with a phosphate-solubilizing bacteria strain, Pseudomonas fluorescens P35, and rock phosphates as the sole source of phosphate for microbial growth in parallel with abiotic controls. Rock phosphates consisted of 55–91% of fluorapatite and 5–10% of dolomite before microbial dissolution as indicated by X-ray diffraction (XRD). Mineral composition and morphology changed after microbial dissolution characterized by the disappearance of dolomite and the development of etched cavities on rock phosphate surfaces. The pH of media used was approximately 7.4 at the beginning and increased gradually to 7.7 in abiotic controls; with the inoculum, the pH decreased to acidic values of 3.7–3.8 after 27 h. Phosphate, calcium, and fluoride were released from the rock phosphate to the acidified medium. At 42 h, the concentration of F reached 8.1–10.3 mg L−1. The elevated F concentration was two times higher than the F levels in groundwater in regions diagnosed with fluorosis, and was toxic to the bacteria, as demonstrated by a precipitous decrease in live cells. Geochemical modeling demonstrated that the oxidation of glucose (the carbon source for microbial growth in the medium) to gluconic acid could decrease the pH to 3.7–3.8 and result in the dissolution of fluorapatite and dolomite. Dolomite and fluorapatite remained unsaturated, while concentrations of dissolved phosphorus (P), calcium (Ca), and F increased throughout the time course Fluorite reached saturation [saturation index (SI) 0.22–0.42] after 42 h in rock phosphate–amended biotic systems. However, fluorite was not detected in XRD patterns of the final residue from microcosms. Given that phosphate-solubilizing bacteria are ubiquitous in soil and groundwater ecosystems, they could play an important role in fluorapatite dissolution and the release of F to groundwater.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01490451.2016.1204376","usgsCitation":"Zhou, J., Wang, H., Cravotta, C., Dong, Q., and Xiang, X., 2017, Dissolution of fluorapatite by Pseudomonas fluorescens P35 resulting in fluorine release: Geomicrobiology Journal, v. 34, no. 5, p. 421-433, https://doi.org/10.1080/01490451.2016.1204376.","productDescription":"13 p.","startPage":"421","endPage":"433","ipdsId":"IP-059740","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":352249,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"5","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-20","publicationStatus":"PW","scienceBaseUri":"5afee8ebe4b0da30c1bfc4d2","contributors":{"authors":[{"text":"Zhou, Jianping","contributorId":202968,"corporation":false,"usgs":false,"family":"Zhou","given":"Jianping","email":"","affiliations":[{"id":36564,"text":"State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, P R China","active":true,"usgs":false}],"preferred":false,"id":730277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Hongmei","contributorId":202967,"corporation":false,"usgs":false,"family":"Wang","given":"Hongmei","email":"","affiliations":[{"id":36565,"text":"Laboratory of Basin Hydrology and Wetland Eco-restoration, China University of Geosciences, Wuhan, 430074, P R China","active":true,"usgs":false}],"preferred":false,"id":730276,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cravotta, Charles A. III 0000-0003-3116-4684 cravotta@usgs.gov","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":138829,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles A.","suffix":"III","email":"cravotta@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":730274,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dong, Qiang","contributorId":202966,"corporation":false,"usgs":false,"family":"Dong","given":"Qiang","email":"","affiliations":[{"id":36564,"text":"State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, P R China","active":true,"usgs":false}],"preferred":false,"id":730275,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Xiang, Xing","contributorId":202964,"corporation":false,"usgs":false,"family":"Xiang","given":"Xing","email":"","affiliations":[{"id":36564,"text":"State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, P R China","active":true,"usgs":false}],"preferred":false,"id":730273,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192455,"text":"70192455 - 2017 - Modeling waterfowl habitat selection in the Central Valley of California to better understand the spatial relationship between commercial poultry and waterfowl","interactions":[],"lastModifiedDate":"2019-06-04T08:40:19","indexId":"70192455","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Modeling waterfowl habitat selection in the Central Valley of California to better understand the spatial relationship between commercial poultry and waterfowl","docAbstract":"Wildlife researchers frequently study resource and habitat selection of wildlife to understand their potential habitat requirements and to conserve their populations. Understanding wildlife spatial-temporal distributions related to habitat have other applications such as to model interfaces between wildlife and domestic food animals in order to mitigate disease transmission to food animals. The highly pathogenic avian influenza (HPAI) virus represents a significant risk to the poultry industry. The Central Valley of California offers a unique geographical confluence of commercial poultry and wild waterfowl, which are thought to be a key reservoir of avian influenza (AI). Therefore, understanding spatio-temporal distributions of waterfowl could improve our understanding of potential risk of HPAI exposure from a commercial poultry perspective. Using existing radio-telemetry data on waterfowl (U.S. Geological Survey) in combination with habitat and vegetation data based on Geographic Information Systems (GIS), we are developing GIS-based statistical models that predict the probability of waterfowl presence (Habitat Suitability Mapping). Near-real-time application can be developed using recent habitat data derived from Landsat imagery (acquired by satellites and publicly available through the U.S. Geological Survey) to predict temporally- and spatially-varying distributions of waterfowl in the Central Valley. These results could be used to provide decision support for the poultry industry in addressing potential risk of HPAI exposure related to waterfowl proximity.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Sixty-Sixth Western Poultry Disease Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Sixty-Sixth Western Poultry Disease Conference","conferenceDate":"March 20-22, 2017","conferenceLocation":"Sacramento, California","language":"English","publisher":"Western Poutlry Disease Conference","usgsCitation":"Matchett, E., Casazza, M.L., Fleskes, J.P., Kelman, T., Cadena, M., and Pitesky, M., 2017, Modeling waterfowl habitat selection in the Central Valley of California to better understand the spatial relationship between commercial poultry and waterfowl, in Proceedings of the Sixty-Sixth Western Poultry Disease Conference, Sacramento, California, March 20-22, 2017, p. 118-120.","productDescription":"3 p.","startPage":"118","endPage":"120","ipdsId":"IP-083273","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":352033,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364313,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://aaap.memberclicks.net/wpdc-proceedings"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8f7e4b0da30c1bfc4f0","contributors":{"authors":[{"text":"Matchett, Elliott 0000-0001-5095-2884 ematchett@usgs.gov","orcid":"https://orcid.org/0000-0001-5095-2884","contributorId":5541,"corporation":false,"usgs":true,"family":"Matchett","given":"Elliott","email":"ematchett@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":715916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":715915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fleskes, Joseph P. 0000-0001-5388-6675 joe_fleskes@usgs.gov","orcid":"https://orcid.org/0000-0001-5388-6675","contributorId":177154,"corporation":false,"usgs":true,"family":"Fleskes","given":"Joseph","email":"joe_fleskes@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":715917,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelman, T.","contributorId":198390,"corporation":false,"usgs":false,"family":"Kelman","given":"T.","email":"","affiliations":[],"preferred":false,"id":715918,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cadena, M.","contributorId":198391,"corporation":false,"usgs":false,"family":"Cadena","given":"M.","email":"","affiliations":[],"preferred":false,"id":715919,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pitesky, M.","contributorId":198392,"corporation":false,"usgs":false,"family":"Pitesky","given":"M.","affiliations":[],"preferred":false,"id":715920,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70195842,"text":"70195842 - 2017 - Differences in flood hazard projections in Europe – their causes and consequences for decision making","interactions":[],"lastModifiedDate":"2018-03-06T11:01:34","indexId":"70195842","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1927,"text":"Hydrological Sciences Journal","active":true,"publicationSubtype":{"id":10}},"title":"Differences in flood hazard projections in Europe – their causes and consequences for decision making","docAbstract":"This paper interprets differences in flood hazard projections over Europe and identifies likely sources of discrepancy. Further, it discusses potential implications of these differences for flood risk reduction and adaptation to climate change. The discrepancy in flood hazard projections raises caution, especially among decision makers in charge of water resources management, flood risk reduction, and climate change adaptation at regional to local scales. Because it is naïve to expect availability of trustworthy quantitative projections of future flood hazard, in order to reduce flood risk one should focus attention on mapping of current and future risks and vulnerability hotspots and improve the situation there. Although an intercomparison of flood hazard projections is done in this paper and differences are identified and interpreted, it does not seems possible to recommend which large-scale studies may be considered most credible in particular areas of Europe.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02626667.2016.1241398","usgsCitation":"Kundzewicz, Z., Krysanova, V., Dankers, R., Hirabayashi, Y., Kanae, S., Hattermann, F.F., Huang, S., Milly, P., Stoffel, M., Driessen, P., Matczak, P., Quevauviller, P., and Schellnhuber, H., 2017, Differences in flood hazard projections in Europe – their causes and consequences for decision making: Hydrological Sciences Journal, v. 62, no. 1, p. 1-14, https://doi.org/10.1080/02626667.2016.1241398.","productDescription":"14 p.","startPage":"1","endPage":"14","ipdsId":"IP-079346","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":470232,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02626667.2016.1241398","text":"Publisher Index Page"},{"id":352251,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-29","publicationStatus":"PW","scienceBaseUri":"5afee8ebe4b0da30c1bfc4d4","contributors":{"authors":[{"text":"Kundzewicz, Z. 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W.","affiliations":[{"id":36556,"text":"Institute for Agricultural and Forest Environment, Polish Academy of Sciences, Poznań, Poland","active":true,"usgs":false}],"preferred":false,"id":730261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krysanova, V.","contributorId":202953,"corporation":false,"usgs":false,"family":"Krysanova","given":"V.","affiliations":[{"id":32972,"text":"Potsdam Institute for Climate Impact Research, Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":730262,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dankers, R.","contributorId":202954,"corporation":false,"usgs":false,"family":"Dankers","given":"R.","email":"","affiliations":[{"id":36557,"text":"Met Office, Exeter, UK","active":true,"usgs":false}],"preferred":false,"id":730263,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hirabayashi, Y.","contributorId":202955,"corporation":false,"usgs":false,"family":"Hirabayashi","given":"Y.","email":"","affiliations":[{"id":36558,"text":"Institute of Engineering Innovation, University of Tokyo, Tokyo, Japan","active":true,"usgs":false}],"preferred":false,"id":730264,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kanae, S.","contributorId":202956,"corporation":false,"usgs":false,"family":"Kanae","given":"S.","email":"","affiliations":[{"id":36559,"text":"Department of Mechanical and Environmental Informatics, Tokyo Institute of Technology, Tokyo, Japan","active":true,"usgs":false}],"preferred":false,"id":730265,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hattermann, F. F.","contributorId":202957,"corporation":false,"usgs":false,"family":"Hattermann","given":"F.","email":"","middleInitial":"F.","affiliations":[{"id":32972,"text":"Potsdam Institute for Climate Impact Research, Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":730266,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huang, S.","contributorId":202958,"corporation":false,"usgs":false,"family":"Huang","given":"S.","email":"","affiliations":[{"id":36560,"text":"The Norwegian Water Resources and Energy Directorate, Oslo, Norway","active":true,"usgs":false}],"preferred":false,"id":730267,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Milly, Paul C.D. 0000-0003-4389-3139 cmilly@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-3139","contributorId":2119,"corporation":false,"usgs":true,"family":"Milly","given":"Paul C.D.","email":"cmilly@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":730260,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stoffel, M.","contributorId":202959,"corporation":false,"usgs":false,"family":"Stoffel","given":"M.","email":"","affiliations":[{"id":36561,"text":"Climatic Change and Climate Impacts, Institute for Environmental Sciences, University of Geneva, Geneva, Switzerland","active":true,"usgs":false}],"preferred":false,"id":730268,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Driessen, P.P.J.","contributorId":202960,"corporation":false,"usgs":false,"family":"Driessen","given":"P.P.J.","email":"","affiliations":[{"id":36562,"text":"Utrecht University, Copernicus Institute of Sustainable Development, Utrecht, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":730269,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Matczak, P.","contributorId":202961,"corporation":false,"usgs":false,"family":"Matczak","given":"P.","email":"","affiliations":[{"id":36556,"text":"Institute for Agricultural and Forest Environment, Polish Academy of Sciences, Poznań, Poland","active":true,"usgs":false}],"preferred":false,"id":730270,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Quevauviller, P.","contributorId":202962,"corporation":false,"usgs":false,"family":"Quevauviller","given":"P.","affiliations":[{"id":36563,"text":"Vrije Universiteit Brussel, Belgium","active":true,"usgs":false}],"preferred":false,"id":730271,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Schellnhuber, H.-J.","contributorId":202963,"corporation":false,"usgs":false,"family":"Schellnhuber","given":"H.-J.","email":"","affiliations":[{"id":32972,"text":"Potsdam Institute for Climate Impact Research, Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":730272,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70192130,"text":"70192130 - 2017 - The response of arid soil communities to climate change: Chapter 8","interactions":[],"lastModifiedDate":"2018-02-12T13:50:06","indexId":"70192130","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"The response of arid soil communities to climate change: Chapter 8","docAbstract":"Arid and semiarid ecosystems cover approximately 40% of Earth’s terrestrial surface and are present on each of the planet’s continents [1]. Drylands are characterized by their aridity, but there is substantial geographic, edaphic, and climatic variability among these vast ecosystems, and these differences underscore substantial variation in dryland soil microbial communities, as well as in the future climates predicted among arid and semiarid systems globally. Furthermore, arid ecosystems are commonly patchy at a variety of spatial scales [2,3]. Vascular plants are widely interspersed in drylands and bare soil, or soil that is covered with biological soil crusts, fill these spaces. The variability acts to further enhance spatial heterogeneity, as these different zones within dryland ecosystems differ in characteristics such as water retention, albedo, and nutrient cycling [4–6]. Importantly, the various soil patches of an arid landscape may be differentially sensitive to climate change. Soil communities are only active when enough moisture is available, and drylands show large spatial variability in soil moisture, with potentially long dry periods followed by pulses of moisture. The pulse dynamics associated with this wetting and drying affect the composition, structure, and function of dryland soil communities, and integrate biotic and abiotic processes via pulse-driven exchanges, interactions, transitions, and transfers. Climate change will likely alter the size, frequency, and intensity of future precipitation pulses, as well as influence non-rainfall sources of soil moisture, and aridland ecosystems are known to be highly sensitive to such climate variability. Despite great heterogeneity, arid ecosystems are united by a key parameter: a limitation in water availability. This characteristic may help to uncover unifying aspects of dryland soil responses to global change.
The dryness of an ecosystem can be described by its aridity index (AI). Several AIs have been proposed, but the most widely used metrics determine the difference between average precipitation and potential evapotranspiration, where evapotranspiration is the sum of evaporation and plant transpiration, both of which move water from the ecosystem to the atmosphere [7–9]. Because evapotranspiration can be affected by various environmental factors such as temperature and incident radiation (Fig. 10.1), regions that receive the same average precipitation may have significantly different AI values [10,11]. Multiple studies have documented that mean annual precipitation, and thus AI, is highly correlated with biological diversity and net primary productivity [12–15]. Accordingly, AI is considered to be a central regulator of the diversity, structure, and productivity of an ecosystem, playing an especially influential role in arid ecosystems. Thus, the climate parameters that drive alterations in the AI of a region are likely to play an disproportionate role in shaping the response of arid soil communities to a changing climate. In this chapter we consider climate parameters that have been shown to be altered through climate change, with a focus on how these parameters are likely to affect dryland soil communities, including microorganisms and invertebrates. In particular, our goal is to highlight dryland soil community structure and function in the context of climate change, and we will focus on community relationships with increased atmospheric CO2 concentrations (a primary driver of climate change), temperature, and sources of soil moisture.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The biology of arid soils","language":"English","publisher":"De Gruyter","doi":"10.1515/9783110419047-008","usgsCitation":"Steven, B., McHugh, T.A., and Reed, S.C., 2017, The response of arid soil communities to climate change: Chapter 8, chap. of The biology of arid soils, p. 139-158, https://doi.org/10.1515/9783110419047-008.","productDescription":"20 p.","startPage":"139","endPage":"158","ipdsId":"IP-076037","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":351494,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8f7e4b0da30c1bfc4f6","contributors":{"authors":[{"text":"Steven, Blaire","contributorId":197800,"corporation":false,"usgs":false,"family":"Steven","given":"Blaire","email":"","affiliations":[],"preferred":false,"id":714345,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McHugh, Theresa Ann","contributorId":197801,"corporation":false,"usgs":false,"family":"McHugh","given":"Theresa","email":"","middleInitial":"Ann","affiliations":[],"preferred":false,"id":714346,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":714344,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70195830,"text":"70195830 - 2017 - Understanding the past to interpret the future: Comparison of simulated groundwater recharge in the upper Colorado River basin (USA) using observed and general-circulation-model historical climate data","interactions":[],"lastModifiedDate":"2020-12-10T13:20:04.696686","indexId":"70195830","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Understanding the past to interpret the future: Comparison of simulated groundwater recharge in the upper Colorado River basin (USA) using observed and general-circulation-model historical climate data","docAbstract":"In evaluating potential impacts of climate change on water resources, water managers seek to understand how future conditions may differ from the recent past. Studies of climate impacts on groundwater recharge often compare simulated recharge from future and historical time periods on an average monthly or overall average annual basis, or compare average recharge from future decades to that from a single recent decade. Baseline historical recharge estimates, which are compared with future conditions, are often from simulations using observed historical climate data. Comparison of average monthly results, average annual results, or even averaging over selected historical decades, may mask the true variability in historical results and lead to misinterpretation of future conditions. Comparison of future recharge results simulated using general circulation model (GCM) climate data to recharge results simulated using actual historical climate data may also result in an incomplete understanding of the likelihood of future changes. In this study, groundwater recharge is estimated in the upper Colorado River basin, USA, using a distributed-parameter soil-water balance groundwater recharge model for the period 1951–2010. Recharge simulations are performed using precipitation, maximum temperature, and minimum temperature data from observed climate data and from 97 CMIP5 (Coupled Model Intercomparison Project, phase 5) projections. Results indicate that average monthly and average annual simulated recharge are similar using observed and GCM climate data. However, 10-year moving-average recharge results show substantial differences between observed and simulated climate data, particularly during period 1970–2000, with much greater variability seen for results using observed climate data.
","language":"English","publisher":"Springer","doi":"10.1007/s10040-016-1481-0","usgsCitation":"Tillman, F., Gangopadhyay, S., and Pruitt, T., 2017, Understanding the past to interpret the future: Comparison of simulated groundwater recharge in the upper Colorado River basin (USA) using observed and general-circulation-model historical climate data: Hydrogeology Journal, v. 25, no. 2, p. 347-358, https://doi.org/10.1007/s10040-016-1481-0.","productDescription":"12 p.","startPage":"347","endPage":"358","ipdsId":"IP-076138","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":352218,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Upper Colorado River basin","volume":"25","issue":"2","noUsgsAuthors":false,"publicationDate":"2016-10-19","publicationStatus":"PW","scienceBaseUri":"5afee8ebe4b0da30c1bfc4d8","contributors":{"authors":[{"text":"Tillman, Fred D. 0000-0002-2922-402X ftillman@usgs.gov","orcid":"https://orcid.org/0000-0002-2922-402X","contributorId":1629,"corporation":false,"usgs":true,"family":"Tillman","given":"Fred D.","email":"ftillman@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":730201,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gangopadhyay, Subhrendu 0000-0003-3864-8251","orcid":"https://orcid.org/0000-0003-3864-8251","contributorId":173439,"corporation":false,"usgs":false,"family":"Gangopadhyay","given":"Subhrendu","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":730202,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pruitt, Tom 0000-0002-3543-1324","orcid":"https://orcid.org/0000-0002-3543-1324","contributorId":173440,"corporation":false,"usgs":false,"family":"Pruitt","given":"Tom","email":"","affiliations":[{"id":27228,"text":"Reclamation","active":true,"usgs":false}],"preferred":false,"id":730203,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192976,"text":"70192976 - 2017 - Remote measurement of surface-water velocity using infrared videography and PIV: a proof-of-concept for Alaskan rivers","interactions":[],"lastModifiedDate":"2018-02-15T10:51:40","indexId":"70192976","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Remote measurement of surface-water velocity using infrared videography and PIV: a proof-of-concept for Alaskan rivers","docAbstract":"Thermal cameras with high sensitivity to medium and long wavelengths can resolve features at the surface of flowing water arising from turbulent mixing. \nImages acquired by these cameras can be processed with particle image velocimetry (PIV) to compute surface velocities based on the displacement of thermal features as they advect with the flow. \nWe conducted a series of field measurements to test this methodology for remote sensing of surface velocities in rivers. \nWe positioned an infrared video camera at multiple stations across bridges that spanned five rivers in Alaska. \nSimultaneous non-contact measurements of surface velocity were collected with a radar gun. \nIn situ velocity profiles were collected with Acoustic Doppler Current Profilers (ADCP). \nInfrared image time series were collected at a frequency of 10Hz for a one-minute duration at a number of stations spaced across each bridge. \nCommercial PIV software used a cross-correlation algorithm to calculate pixel displacements between successive frames, which were then scaled to produce surface velocities. \nA blanking distance below the ADCP prevents a direct measurement of the surface velocity. \nHowever, we estimated surface velocity from the ADCP measurements using a program that normalizes each ADCP transect and combines those normalized transects to compute a mean measurement profile. \nThe program can fit a power law to the profile and in so doing provides a velocity index, the ratio between the depth-averaged and surface velocity. \nFor the rivers in this study, the velocity index ranged from 0.82 – 0.92. Average radar and extrapolated ADCP surface velocities were in good agreement with average infrared PIV calculations.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"E-proceedings of the 37th IAHR World Congress","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"37th IAHR World Congress","conferenceDate":"August 13-18, 2017","conferenceLocation":"Kuala Lumpur, Malaysia","language":"English","publisher":"IAHR","usgsCitation":"Kinzel, P.J., Legleiter, C.J., Nelson, J.M., and Conaway, J.S., 2017, Remote measurement of surface-water velocity using infrared videography and PIV: a proof-of-concept for Alaskan rivers, in E-proceedings of the 37th IAHR World Congress, Kuala Lumpur, Malaysia, August 13-18, 2017, p. 1-9.","productDescription":"9 p.","startPage":"1","endPage":"9","ipdsId":"IP-085349","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":351648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":351647,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.iahrworldcongress.org/index.php/submission/congress-proceedings"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8ebe4b0da30c1bfc4e4","contributors":{"authors":[{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":717507,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":717508,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, Jonathan M. 0000-0002-7632-8526 jmn@usgs.gov","orcid":"https://orcid.org/0000-0002-7632-8526","contributorId":2812,"corporation":false,"usgs":true,"family":"Nelson","given":"Jonathan","email":"jmn@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":717509,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conaway, Jeffrey S. 0000-0002-3036-592X jconaway@usgs.gov","orcid":"https://orcid.org/0000-0002-3036-592X","contributorId":2026,"corporation":false,"usgs":true,"family":"Conaway","given":"Jeffrey","email":"jconaway@usgs.gov","middleInitial":"S.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":717510,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192762,"text":"70192762 - 2017 - Guidance documents: Continued support to improve operations of fish hatcheries and field sites to reduce the impact or prevent establishment of New Zealand Mudsnails and other invasive mollusks","interactions":[],"lastModifiedDate":"2018-01-26T16:23:51","indexId":"70192762","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"FWS/CSS-124-2017","title":"Guidance documents: Continued support to improve operations of fish hatcheries and field sites to reduce the impact or prevent establishment of New Zealand Mudsnails and other invasive mollusks","docAbstract":"This project tested and revised a risk assessment/management tool authored by Moffitt and Stockton designed to provide hatchery biologists and others a structure to measure risk and provide tools to control, prevent or eliminate invasive New Zealand mudsnails (NZMS) and other invasive mollusks in fish hatcheries and hatchery operations. The document has two parts: the risk assessment tool, and an appendix that summarizes options for control or management.
The framework of the guidance document for risk assessment/hatchery tool combines approaches used by the Hazard Analysis and Critical Control Points (HACCP) process with those developed by the Commission for Environmental Cooperation (CEC), of Canada, Mexico, and the United States, in the Tri-National Risk Assessment Guidelines for Aquatic Alien Invasive Species. The framework approach for this attached first document assesses risk potential with two activities: probability of infestation and consequences of infestation. Each activity is treated equally to determine the risk potential. These two activities are divided into seven basic elements that utilize scientific, technical, and other relevant information in the process of the risk assessment. To determine the probability of infestation four steps are used that have scores reported or determined and averaged. This assessment follows a familiar HACCP process to assess pathways of entry, entry potential, colonization potential, spread potential. The economic, environmental and social consequences are considered as economic impact, environmental impact, and social and cultural influences.
To test this document, the Principal Investigator worked to identify interested hatchery managers through contacts at regional aquaculture meetings, fish health meetings, and through the network of invasive species managers and scientists participating in the Western Regional Panel on Aquatic Nuisance Species and the 100th Meridian Initiative's Columbia River Basin Team, and the Western New Zealand Mudsnail Conference in Seattle. Targeted hatchery workshops were conducted with staff at Dworshak National Fish Hatchery Complex (ID), Similkameen Pond, Oroville WA, and Ringold Springs State Hatchery (WA).
As a result of communications with hatchery staff, invasive species managers, and on site assessments of hatchery facilities, the document was modified and enhanced. Additional resources were added to keep it up to date. The result is a more simplified tool that can lead hatchery or management personnel through the process of risk assessment and provide an introduction to the risk management and communication process.
In addition to the typical HACCP processes, this tool adds steps to rate and consider uncertainty and the weight of evidence regarding options and monitoring results . Uncertainty of outcome exists in most tools that can be used to control or prevent NZMS or other invasive mollusks from infesting an area. In additional this document emphasizes that specific control tools and plans must be tailored to each specific setting to consider the economic, environmental and social influences. From the testing and evaluation process, there was a strong recognition that a number of control and prevention tools previously suggested and reported in the literature from laboratory and small scale trials may not be compatible with regional and national regulations, economic constraints, social or cultural constraints, engineering or water chemistry characteristics of each facility.
The options for control are summarized in the second document, Review of Control Measures for Hatcheries Infested with NZMS (Appendix A) that provides sources for additional resources and specific tools, and guidance regarding the feasibility and success of each approach. This tool also emphasizes that management plans need to be adaptive and incorporate oversight from professionals familiar with measuring risks of fish diseases, and treatments (e.g. the fish health practitioners and water quality and effluent management teams). Finally, with such a team, the adaptive management approach must be ongoing, and become a regular component of hatchery operations.
Although it was the intent that this two part document would be included as part of the revised National Management and Control Plan for the NZMS proposed by the U.S. Fish and Wildlife Service (USFWS) and others, it is provided as a stand-alone document.
","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Moffitt, C.M., 2017, Guidance documents: Continued support to improve operations of fish hatcheries and field sites to reduce the impact or prevent establishment of New Zealand Mudsnails and other invasive mollusks: Cooperator Science Series FWS/CSS-124-2017, iv, 62 p.","productDescription":"iv, 62 p.","numberOfPages":"68","ipdsId":"IP-083301","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":350724,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350723,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://digitalmedia.fws.gov/cdm/ref/collection/document/id/2189"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6c4c95e4b06e28e9cabb02","contributors":{"authors":[{"text":"Moffitt, Christine M. 0000-0001-6020-9728 cmoffitt@usgs.gov","orcid":"https://orcid.org/0000-0001-6020-9728","contributorId":2583,"corporation":false,"usgs":true,"family":"Moffitt","given":"Christine","email":"cmoffitt@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716851,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70196114,"text":"70196114 - 2017 - Nutrients, phytoplankton, zooplankton, and macrobenthos","interactions":[],"lastModifiedDate":"2018-03-21T11:45:18","indexId":"70196114","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":410,"text":"Special Publication","active":false,"publicationSubtype":{"id":9}},"seriesNumber":"2017-02","title":"Nutrients, phytoplankton, zooplankton, and macrobenthos","docAbstract":"Lower trophic levels support the prey fish on which most sport fish depend. Therefore, understanding the production potential of lower trophic levels is integral to the management of Lake Ontario’s fishery resources. Lower trophic-level productivity differs among offshore and nearshore waters. In the offshore, there is concern about the ability of the lake to support Alewife (Table 1) production due to a perceived decline in productivity of phytoplankton and zooplankton whereas, in the nearshore, there is a concern about excessive attached algal production (e.g., Cladophora) associated with higher nutrient concentrations—the oligotrophication of the offshore and the eutrophication of the nearshore (Mills et al. 2003; Holeck et al. 2008; Dove 2009; Koops et al. 2015; Stewart et al. 2016). Even though the collapse of the Alewife population in Lake Huron in 2003 (and the associated decline in the Chinook Salmon fishery) may have been precipitated by a cold winter (Dunlop and Riley 2013), Alewife had not returned to high abundances in Lake Huron as of 2014 (Roseman et al. 2015). Failure of the Alewife population to recover from collapse has been attributed to declines in lower trophic-level production (Barbiero et al. 2011; Bunnell et al. 2014; but see He et al. 2015). In Lake Michigan, concerns of a similar Alewife collapse led to a decrease in the number of Chinook Salmon stocked. If lower trophic-level production declines in Lake Ontario, a similar management action could be considered. On the other hand, in Lake Erie, which supplies most of the water in Lake Ontario, eutrophication is increasing and so are harmful algal blooms. Thus, there is also a concern that nutrient levels and algal blooms could increase in Lake Ontario, especially in the nearshore. Solutions to the two processes of concern—eutrophication in the nearshore and oligotrophication in the offshore—may be mutually exclusive. In either circumstance, fisheries management needs information on the productivity of lower trophic levels in Lake Ontario.
In this chapter, we review the status of lower trophic levels in Lake Ontario with special attention to the current (2008-2013) and previous (2003-2007) reporting periods. During the two reporting periods, three whole-lake surveys of lower trophic levels were conducted: the Lower Trophic Level Assessment (LOLA) in 2003 and 2008 (Makarewicz and Howell 2012; Munawar et al. 2015b) and the Cooperative Science and Management Initiative (CSMI) in 2013. Analyses of the CSMI data are ongoing. In addition to the three one-year sources of information on lower trophic levels, several multi-year sources of information are available, including data from the surveillance program conducted since 1965 by Environment Canada (EC) (Dove 2009), monitoring conducted since 1980 by the U.S. Environmental Protection Agency’s (EPA) Great Lakes National Program Office (GLNPO) (Barbiero et al. 2014; Reavie et al. 2014), sampling for a Bioindex Program at two stations, one offshore and one in the Eastern Basin, assessments of Mysis diluviana (formerly Mysis relicta) conducted since 1980 by Fisheries and Oceans Canada (Johannsson et al. 1998, 2011) and the Ontario Ministry of Natural Resources and Forestry (OMNRF), and monitoring conducted since 1995 by the Biomonitoring Program (BMP) on the New York side of the lake (Holeck et al. 2015b). The BMP is a collaboration of the New York State Department of Environmental Conservation (DEC), U.S. Fish and Wildlife Service, U.S. Geological Survey (USGS), and Cornell University.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The state of Lake Ontario in 2014","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Rudstam, L.G., Holeck, K.T., Watkins, J.M., Hotaling, C., Lantry, J.R., Bowen, K.L., Munawar, M., Weidel, B., Barbiero, R., Luckey, F.J., Dove, A., Johnson, T.B., and Biesinger, Z., 2017, Nutrients, phytoplankton, zooplankton, and macrobenthos: Special Publication 2017-02, 23 p.","productDescription":"23 p.","startPage":"10","endPage":"32","ipdsId":"IP-074205","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":352661,"type":{"id":15,"text":"Index Page"},"url":"https://www.glfc.org/pubs/SpecialPubs/Sp17_02.pdf"},{"id":352689,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8ebe4b0da30c1bfc4cc","contributors":{"authors":[{"text":"Rudstam, Lars G.","contributorId":56609,"corporation":false,"usgs":false,"family":"Rudstam","given":"Lars","email":"","middleInitial":"G.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":731409,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holeck, Kristen T.","contributorId":105549,"corporation":false,"usgs":false,"family":"Holeck","given":"Kristen","email":"","middleInitial":"T.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":731410,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watkins, James M.","contributorId":189286,"corporation":false,"usgs":false,"family":"Watkins","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":731411,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hotaling, Christopher","contributorId":197987,"corporation":false,"usgs":false,"family":"Hotaling","given":"Christopher","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":731412,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lantry, Jana R.","contributorId":141107,"corporation":false,"usgs":false,"family":"Lantry","given":"Jana","email":"","middleInitial":"R.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":731413,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bowen, Kelly L.","contributorId":38382,"corporation":false,"usgs":false,"family":"Bowen","given":"Kelly","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":731414,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Munawar, Mohi","contributorId":203403,"corporation":false,"usgs":false,"family":"Munawar","given":"Mohi","email":"","affiliations":[],"preferred":false,"id":731415,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":731408,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Barbiero, Richard","contributorId":203404,"corporation":false,"usgs":false,"family":"Barbiero","given":"Richard","affiliations":[],"preferred":false,"id":731416,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Luckey, Frederick J.","contributorId":131035,"corporation":false,"usgs":false,"family":"Luckey","given":"Frederick","email":"","middleInitial":"J.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":731417,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Dove, Alice","contributorId":203405,"corporation":false,"usgs":false,"family":"Dove","given":"Alice","email":"","affiliations":[],"preferred":false,"id":731418,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Johnson, Timothy B.","contributorId":203406,"corporation":false,"usgs":false,"family":"Johnson","given":"Timothy","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":731419,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Biesinger, Zy","contributorId":197993,"corporation":false,"usgs":false,"family":"Biesinger","given":"Zy","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":731420,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70194206,"text":"70194206 - 2017 - State of Great Lakes 2017 Technical Report: Indicators to assess the status and trends of the Great Lakes ecosystem","interactions":[],"lastModifiedDate":"2018-02-13T15:19:22","indexId":"70194206","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesNumber":"EPA 905‐R‐17‐001","title":"State of Great Lakes 2017 Technical Report: Indicators to assess the status and trends of the Great Lakes ecosystem","docAbstract":"No abstract available.
Pharmaceuticals and personal care products (PPCPs) are ubiquitous in freshwater ecosystems worldwide and are recognized as contaminants of concern. Currently, contaminants of concern are classified for their persistence, bioaccumulation, and toxicity (PBT criteria). PPCPs are not classified as persistent organic pollutants (POPs), although some PPCPs share characteristics similar to POPs. For example, PPCPs are known to be pseudopersistent due to constant discharge into the environment, often at low concentrations. At commonly reported environmental concentrations, PPCPs are rarely toxic, but the ability of these compounds to disrupt ecological processes and functions in freshwater ecosystems is often overlooked. Herein we briefly summarize recent studies highlighting the potential ecological effects of PPCPs, including effects on key ecological processes (e.g. primary productivity and community respiration), and we propose that appropriate screening for harmful effects of PPCPs in surface waters should be expanded to include Ecologically Disrupting Compounds (EcoDC) in addition to the established PBT criteria.
","language":"English","publisher":"University of California Press","doi":"10.1525/elementa.252","usgsCitation":"Richmond, E., Grace, M.R., Kelly, J.R., Reisinger, A., Rosi, E.J., and Walters, D., 2017, Pharmaceuticals and personal care products (PPCPs) are ecological disrupting compounds (EcoDC): Elementa: Science of the Anthropocene, v. 5, p. 1-8, https://doi.org/10.1525/elementa.252.","productDescription":"Article 66; 8 p.","startPage":"1","endPage":"8","ipdsId":"IP-080525","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":470166,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/elementa.252","text":"Publisher Index Page"},{"id":351356,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-13","publicationStatus":"PW","scienceBaseUri":"5a7d7001e4b00f54eb2441f4","contributors":{"authors":[{"text":"Richmond, Erinn","contributorId":201755,"corporation":false,"usgs":false,"family":"Richmond","given":"Erinn","affiliations":[{"id":27278,"text":"Monash University","active":true,"usgs":false}],"preferred":false,"id":726895,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grace, Michael R.","contributorId":201756,"corporation":false,"usgs":false,"family":"Grace","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":36247,"text":"MONASH U","active":true,"usgs":false}],"preferred":false,"id":726896,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelly, John R.","contributorId":127362,"corporation":false,"usgs":false,"family":"Kelly","given":"John","email":"","middleInitial":"R.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":726897,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reisinger, Andrew","contributorId":201757,"corporation":false,"usgs":false,"family":"Reisinger","given":"Andrew","email":"","affiliations":[{"id":36248,"text":"Cary Institute of Ecosystem Studies","active":true,"usgs":false}],"preferred":false,"id":726898,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosi, Emma J.","contributorId":201758,"corporation":false,"usgs":false,"family":"Rosi","given":"Emma","email":"","middleInitial":"J.","affiliations":[{"id":36248,"text":"Cary Institute of Ecosystem Studies","active":true,"usgs":false}],"preferred":false,"id":726899,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walters, David M. 0000-0002-4237-2158 waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":4444,"corporation":false,"usgs":true,"family":"Walters","given":"David M.","email":"waltersd@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":726894,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70192025,"text":"70192025 - 2017 - Evaluation of modeled bacteria loads along an impaired stream reach receiving discharge from a municipal separate storm sewer system in Independence, Mo.","interactions":[],"lastModifiedDate":"2018-02-27T13:35:22","indexId":"70192025","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Evaluation of modeled bacteria loads along an impaired stream reach receiving discharge from a municipal separate storm sewer system in Independence, Mo.","docAbstract":"The Little Blue River in Jackson County, Missouri, was listed as impaired in 2012 due to Escherichia coli (E. coli) from urban runoff and storm sewers. A study was initiated to characterize E. coli concentrations and loads to aid in the development of a total maximum daily load implementation plan. Longitudinal sampling along the stream revealed spatial and temporal variability in E. coli loads. Regression models were developed to better represent E. coli variability in the impaired reach using continuous hydrologic and water-quality parameters as predictive parameters. Daily loads calculated from main-stem samples were significantly higher downstream compared to upstream even though there was no significant difference between the upstream and downstream measured concentrations and no significant conclusions could be drawn from model-estimated loads due to model-associated uncertainty. Increasing sample frequency could decrease the bias and increase the accuracy of the modeled results.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Water Environment Federation, WEFTEC 2017","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Water Environment Federation","doi":"10.2175/193864717822156730","usgsCitation":"Flickinger, A., and Christensen, E.D., 2017, Evaluation of modeled bacteria loads along an impaired stream reach receiving discharge from a municipal separate storm sewer system in Independence, Mo., in Proceedings of the Water Environment Federation, WEFTEC 2017, p. 4753-4782, https://doi.org/10.2175/193864717822156730.","productDescription":"30 p.","startPage":"4753","endPage":"4782","ipdsId":"IP-087590","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":438459,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77W6B4Z","text":"USGS data release","linkHelpText":"Escherichia coli data and continuous hydrologic and physical parameters at U.S. Geological Survey (USGS) streamgage sites on the Little Blue River and its tributaries in Independence, MO"},{"id":352084,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","city":"Independence","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8f7e4b0da30c1bfc4f8","contributors":{"authors":[{"text":"Flickinger, Allison aflickinger@usgs.gov","contributorId":197591,"corporation":false,"usgs":true,"family":"Flickinger","given":"Allison","email":"aflickinger@usgs.gov","affiliations":[],"preferred":true,"id":713863,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christensen, Eric D. echriste@usgs.gov","contributorId":4230,"corporation":false,"usgs":true,"family":"Christensen","given":"Eric","email":"echriste@usgs.gov","middleInitial":"D.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713864,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70193025,"text":"70193025 - 2017 - Hydrochemical determination of source water contributions to Lake Lungo and Lake Ripasottile (central Italy)","interactions":[],"lastModifiedDate":"2017-11-12T11:35:55","indexId":"70193025","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5530,"text":"Journal of Limnology","onlineIssn":"1723-8633","active":true,"publicationSubtype":{"id":10}},"title":"Hydrochemical determination of source water contributions to Lake Lungo and Lake Ripasottile (central Italy)","docAbstract":"Lake Lungo and Lake Ripasottile are two shallow (4-5 m) lakes located in the Rieti Basin, central Italy, that have been described previously as surface outcroppings of the groundwater table. In this work, the two lakes as well as springs and rivers that represent their potential source waters are characterized physio-chemically and isotopically, using a combination of environmental tracers. Temperature and pH were measured and water samples were analyzed for alkalinity, major ion concentration, and stable isotope (δ2H, δ18O, δ13C of dissolved inorganic carbon, and δ34S and δ18O of sulfate) composition. Chemical data were also investigated in terms of local meteorological data (air temperature, precipitation) to determine the sensitivity of lake parameters to changes in the surrounding environment. Groundwater represented by samples taken from Santa Susanna Spring was shown to be distinct with SO42- and Mg2+ content of 270 and 29 mg/L, respectively, and heavy sulfate isotopic composition(δ34S=15.2 ‰ and δ18O=10‰). Outflow from the Santa Susanna Spring enters Lake Ripasottile via a canal and both spring and lake water exhibits the same chemical distinctions and comparatively low seasonal variability. Major ion concentrations in Lake Lungo are similar to the Vicenna Riara Spring and are interpreted to represent the groundwater locally recharged within the plain. The δ13CDIC exhibit the same groupings as the other chemical parameters, providing supporting evidence of the source relationships. Lake Lungo exhibited exceptional ranges of δ13CDIC (±5 ‰) and δ2H, δ18O (±5 ‰ and ±7 ‰, respectively), attributed to sensitivity to seasonal changes. The hydrochemistry results, particularly major ion data, highlight how the two lakes, though geographically and morphologically similar, represent distinct hydrochemical facies. These data also show a different response in each lake to temperature and precipitation patterns in the basin that may be attributed to lake water retention time. The sensitivity of each lake to meteorological patterns can be used to understand the potential effects from long-term climate variability.","language":"English","publisher":"PAGEPress Scientific Publications","publisherLocation":"Pavia, Italy","doi":"10.4081/jlimnol.2016.1576","usgsCitation":"Archer, C., Noble, P., Kreamer, D., Piscopo, V., Petitta, M., Rosen, M.R., Poulson, S.R., Piovesan, G., and Mensing, S., 2017, Hydrochemical determination of source water contributions to Lake Lungo and Lake Ripasottile (central Italy): Journal of Limnology, v. 76, no. 2, p. 326-342, https://doi.org/10.4081/jlimnol.2016.1576.","productDescription":"17 p.","startPage":"326","endPage":"342","ipdsId":"IP-079585","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"links":[{"id":470178,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4081/jlimnol.2016.1576","text":"Publisher Index Page"},{"id":348621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","otherGeospatial":"Lake Lungo, Lake Ripasottile","volume":"76","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-21","publicationStatus":"PW","scienceBaseUri":"5a096bb1e4b09af898c94149","contributors":{"authors":[{"text":"Archer, Claire","contributorId":198952,"corporation":false,"usgs":false,"family":"Archer","given":"Claire","email":"","affiliations":[{"id":33648,"text":"Department of Geological Sciences and Engineering, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":717688,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noble, Paula","contributorId":198953,"corporation":false,"usgs":false,"family":"Noble","given":"Paula","affiliations":[{"id":33648,"text":"Department of Geological Sciences and Engineering, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":717689,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kreamer, David","contributorId":198954,"corporation":false,"usgs":false,"family":"Kreamer","given":"David","email":"","affiliations":[{"id":30777,"text":"Department of Geoscience, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":717690,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Piscopo, Vincenzo","contributorId":198955,"corporation":false,"usgs":false,"family":"Piscopo","given":"Vincenzo","email":"","affiliations":[{"id":35390,"text":"Tuscia University","active":true,"usgs":false}],"preferred":false,"id":717691,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Petitta, Marco","contributorId":198956,"corporation":false,"usgs":false,"family":"Petitta","given":"Marco","email":"","affiliations":[{"id":35391,"text":"Sapienza University of Rome","active":true,"usgs":false}],"preferred":false,"id":717692,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":717687,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Poulson, Simon R.","contributorId":187411,"corporation":false,"usgs":false,"family":"Poulson","given":"Simon","email":"","middleInitial":"R.","affiliations":[{"id":33648,"text":"Department of Geological Sciences and Engineering, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":717693,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Piovesan, Gianluca","contributorId":198957,"corporation":false,"usgs":false,"family":"Piovesan","given":"Gianluca","email":"","affiliations":[{"id":35390,"text":"Tuscia University","active":true,"usgs":false}],"preferred":false,"id":717694,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mensing, Scott","contributorId":198958,"corporation":false,"usgs":false,"family":"Mensing","given":"Scott","affiliations":[{"id":33212,"text":"Department of Geography, University of NV","active":true,"usgs":false}],"preferred":false,"id":717695,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70196382,"text":"70196382 - 2017 - Crop modeling applications in agricultural water management","interactions":[],"lastModifiedDate":"2018-04-04T13:56:30","indexId":"70196382","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3619,"text":"Transactions of the ASABE","active":true,"publicationSubtype":{"id":10}},"title":" Crop modeling applications in agricultural water management","docAbstract":"This article introduces the fourteen articles that comprise the “Crop Modeling and Decision Support for Optimizing Use of Limited Water” collection. This collection was developed from a special session on crop modeling applications in agricultural water management held at the 2016 ASABE Annual International Meeting (AIM) in Orlando, Florida. In addition, other authors who were not able to attend the 2016 ASABE AIM were also invited to submit papers. The articles summarized in this introductory article demonstrate a wide array of applications in which crop models can be used to optimize agricultural water management. The following section titles indicate the topics covered in this collection: (1) evapotranspiration modeling (one article), (2) model development and parameterization (two articles), (3) application of crop models for irrigation scheduling (five articles), (4) coordinated water and nutrient management (one article), (5) soil water management (two articles), (6) risk assessment of water-limited irrigation management (one article), and (7) regional assessments of climate impact (two articles). Changing weather and climate, increasing population, and groundwater depletion will continue to stimulate innovations in agricultural water management, and crop models will play an important role in helping to optimize water use in agriculture.
","language":"English","publisher":"American Society of Agricultural and Biological Engineers (ASABE)","doi":"10.13031/trans.12693","usgsCitation":"Kisekka, I., DeJonge, K.C., Ma, L., Paz, J., and Douglas-Mankin, K.R., 2017, Crop modeling applications in agricultural water management: Transactions of the ASABE, v. 60, no. 6, p. 1959-1964, https://doi.org/10.13031/trans.12693.","productDescription":"6 p.","startPage":"1959","endPage":"1964","ipdsId":"IP-094679","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":470182,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.13031/trans.12693","text":"Publisher Index Page"},{"id":353153,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"6","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8ebe4b0da30c1bfc4ca","contributors":{"authors":[{"text":"Kisekka, Isaya","contributorId":203939,"corporation":false,"usgs":false,"family":"Kisekka","given":"Isaya","email":"","affiliations":[{"id":36767,"text":"Departments of Land, Air, and Water Resources, and Biological and Agricultural Engineering, University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":732690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeJonge, Kendall C.","contributorId":203940,"corporation":false,"usgs":false,"family":"DeJonge","given":"Kendall","email":"","middleInitial":"C.","affiliations":[{"id":36768,"text":"USDA-ARS Water Management and Systems Research Unit","active":true,"usgs":false}],"preferred":false,"id":732691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ma, Liwang","contributorId":29140,"corporation":false,"usgs":true,"family":"Ma","given":"Liwang","email":"","affiliations":[],"preferred":false,"id":732692,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paz, Joel","contributorId":203941,"corporation":false,"usgs":false,"family":"Paz","given":"Joel","email":"","affiliations":[{"id":36769,"text":"Department of Agricultural and Biological Engineering, Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":732693,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Douglas-Mankin, Kyle R. 0000-0002-3155-3666","orcid":"https://orcid.org/0000-0002-3155-3666","contributorId":203927,"corporation":false,"usgs":true,"family":"Douglas-Mankin","given":"Kyle","email":"","middleInitial":"R.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":732689,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192424,"text":"70192424 - 2017 - Trends in methyl tert-butyl ether concentrations in private wells in southeast New Hampshire: 2005 to 2015","interactions":[],"lastModifiedDate":"2018-03-29T14:31:14","indexId":"70192424","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Trends in methyl tert-butyl ether concentrations in private wells in southeast New Hampshire: 2005 to 2015","docAbstract":"In southeast New Hampshire, where reformulated gasoline was used from the 1990s to 2007, methyl tert-butyl ether (MtBE) concentrations ≥0.2 μg/L were found in water from 26.7% of 195 domestic wells sampled in 2005. Ten years later in 2015, and eight years after MtBE was banned, 10.3% continue to have MtBE. Most wells (140 of 195) had no MtBE detections (concentrations <0.2 μg/L) in 2005 and 2015. Of the remaining wells, MtBE concentrations increased in 4 wells, decreased in 47 wells, and did not change in 4 wells. On average, MtBE concentrations decreased 65% among 47 wells whereas MtBE concentrations increased 17% among 4 wells between 2005 and 2015. The percent change in detection frequency from 2005 to 2015 (the decontamination rate) was lowest (45.5%) in high-population-density areas and in wells completed in the Berwick Formation geologic units. The decontamination rate was the highest (78.6%) where population densities were low and wells were completed in bedrock composed of granite, metamorphic, and mafic rocks. Wells in the Berwick Formation are characteristically deeper and have lower yields than wells in other rock types and have shallower overburden cover, which may allow for more rapid transport of MtBE from land-surface releases. Low-yielding, deep bedrock wells may require large contributing areas to achieve adequate well yield, and thus have a greater chance of intercepting MtBE, in addition to diluting contaminants at a slower rate and thus requiring more time to decontaminate.
","language":"English","publisher":"ACS","doi":"10.1021/acs.est.6b04149","usgsCitation":"Flanagan, S., Levitt, J.P., and Ayotte, J.D., 2017, Trends in methyl tert-butyl ether concentrations in private wells in southeast New Hampshire: 2005 to 2015: Environmental Science & Technology, v. 51, no. 3, p. 1168-1175, https://doi.org/10.1021/acs.est.6b04149.","productDescription":"8 p.","startPage":"1168","endPage":"1175","ipdsId":"IP-074814","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":352954,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Hampshire","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.06207275390625,\n 42.70464124398721\n ],\n [\n -70.7025146484375,\n 42.70464124398721\n ],\n [\n -70.7025146484375,\n 43.624147145668076\n ],\n [\n -72.06207275390625,\n 43.624147145668076\n ],\n [\n -72.06207275390625,\n 42.70464124398721\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"51","issue":"3","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-11","publicationStatus":"PW","scienceBaseUri":"5afee8f7e4b0da30c1bfc4f2","contributors":{"authors":[{"text":"Flanagan, Sarah 0000-0002-7728-0982 sflanaga@usgs.gov","orcid":"https://orcid.org/0000-0002-7728-0982","contributorId":198352,"corporation":false,"usgs":true,"family":"Flanagan","given":"Sarah","email":"sflanaga@usgs.gov","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715778,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Levitt, Joseph P. 0000-0002-2058-9516 jlevitt@usgs.gov","orcid":"https://orcid.org/0000-0002-2058-9516","contributorId":198353,"corporation":false,"usgs":false,"family":"Levitt","given":"Joseph","email":"jlevitt@usgs.gov","middleInitial":"P.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715779,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ayotte, Joseph D. 0000-0002-1892-2738 jayotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1892-2738","contributorId":149619,"corporation":false,"usgs":true,"family":"Ayotte","given":"Joseph","email":"jayotte@usgs.gov","middleInitial":"D.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715780,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70194510,"text":"70194510 - 2017 - Phosphorus (P) and HABs: Sources of P discharged from the Maumee River into Lake Erie","interactions":[],"lastModifiedDate":"2018-03-05T16:18:22","indexId":"70194510","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Phosphorus (P) and HABs: Sources of P discharged from the Maumee River into Lake Erie","docAbstract":"No abstract available.
Coastal erosion threatens many low-lying areas around the globe. Rising sea levels from climate change are expected to increase coastal erosion and exacerbate flooding and storm surges. This is particularly true in low-lying coastal Louisiana, which developed as the Mississippi River changed course (delta switching) over the past 7000 years. Periods of land loss and gain resulted in an intricate coastal environment composed of shallow water areas with wetlands, swamps, barrier islands, and ridges (Day et al. 2007). This complex habitat sustains high economic and biological productivity, supporting the largest commercial fishery in the lower 48 states, providing habitat for important species of fish and wildlife, mitigating storm surge, and delivering protection for oil and gas production facilities, including five of the nation’s largest ports. Because of past and ongoing geological and physical processes, such as subsidence, sea level rise, tropical cyclonic activity, and direct human activities (Barras 2009; Chmura et al. 1992; Georgiou et al. 2005), coastal Louisiana is estimated to have lost an area almost the size of Delaware (4877 km2) between 1932 and 2010, with recent analyses indicating losses averaging 42.9 km2/year (Couvillion et al. 2011).
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Living shorelines: The science and management of nature-based coastal protection","language":"English","publisher":"CRC Research Press","isbn":"9781498740029","usgsCitation":"LaPeyre, M.K., Schwarting Miller, L., Miller, S., and Melancon, E., 2017, Comparison of oyster populations, shoreline protection service, and site characteristics at seven created fringing reefs in Louisiana: Key parameters and responses to consider, chap. of Living shorelines: The science and management of nature-based coastal protection, 20 p.","productDescription":"20 p.","ipdsId":"IP-069979","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":350608,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350607,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.crcpress.com/Living-Shorelines-The-Science-and-Management-of-Nature-Based-Coastal-Protection/Bilkovic-Mitchell-Peyre-Toft/p/book/9781498740029"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6afac5e4b06e28e9c9a8f6","contributors":{"authors":[{"text":"LaPeyre, Megan K. 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":585,"corporation":false,"usgs":true,"family":"LaPeyre","given":"Megan","email":"mlapeyre@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":713829,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwarting Miller, Lindsay","contributorId":200035,"corporation":false,"usgs":false,"family":"Schwarting Miller","given":"Lindsay","email":"","affiliations":[],"preferred":false,"id":725816,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Shea","contributorId":103544,"corporation":false,"usgs":true,"family":"Miller","given":"Shea","email":"","affiliations":[],"preferred":false,"id":725817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Melancon, Earl","contributorId":201481,"corporation":false,"usgs":false,"family":"Melancon","given":"Earl","email":"","affiliations":[],"preferred":false,"id":725818,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192184,"text":"70192184 - 2017 - Preliminary viability assessment of Lake Mendocino forecast informed reservoir operations","interactions":[],"lastModifiedDate":"2018-02-15T10:48:59","indexId":"70192184","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Preliminary viability assessment of Lake Mendocino forecast informed reservoir operations","docAbstract":"This report describes the preliminary viability assessment (PVA) of forecast informed reservoir operations (FIRO) for Lake Mendocino, which is located on the East Fork Russian River three miles east of Ukiah, California. The results described in this report represent the collective activities of the Lake Mendocino FIRO Steering Committee (SC) (SC members are named on the inside cover of the report). The SC consists of water managers and scientists from several federal, state, and local agencies, and universities who have teamed to evaluate whether current technology and scientific understanding can be utilized to improve reliability of meeting water management objectives of Lake Mendocino while not impairing flood protection. While the PVA provides an initial evaluation of the viability of FIRO as a concept, additional steps remain to complete the full viability assessment (FVA). Also, the PVA does not identify how FIRO strategies would be implemented. That effort would be the focus of the FVA, which builds off the analyses developed in the PVA.
This report summarizes current Lake Mendocino operation and a preliminary analysis of FIRO alternatives, including analysis methods, results, and recommendations. A set of accompanying reports describes the analysis in detail. These are referred to herein as the Sonoma County Water Agency (SCWA) report, the Hydrologic Engineering Center (HEC) report, and the Center for Western Weather and Water Extremes (CW3E) report (SCWA 2017, USACE 2017, and CW3E 2017, respectively).
","language":"English","publisher":"Center For Western Weather and Water Extremes","usgsCitation":"Jasperse, J., Ralph, M., Anderson, M., Brekke, L.D., Dillabough, M., Dettinger, M.D., Haynes, A., Hartman, R., Jones, C., Forbis, J., Rutten, P., Talbot, C., and Webb, R., 2017, Preliminary viability assessment of Lake Mendocino forecast informed reservoir operations, 75 p.","productDescription":"75 p.","ipdsId":"IP-088766","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":351645,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://cw3e.ucsd.edu/FIRO_docs/FIRO_PVA.pdf"},{"id":351646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Lake Mendocino","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8f7e4b0da30c1bfc4f4","contributors":{"authors":[{"text":"Jasperse, Jay","contributorId":168661,"corporation":false,"usgs":false,"family":"Jasperse","given":"Jay","affiliations":[{"id":17863,"text":"Sonoma County Water Agency","active":true,"usgs":false}],"preferred":false,"id":714622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ralph, Marty","contributorId":202509,"corporation":false,"usgs":false,"family":"Ralph","given":"Marty","email":"","affiliations":[],"preferred":false,"id":714623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Michael","contributorId":148971,"corporation":false,"usgs":false,"family":"Anderson","given":"Michael","affiliations":[],"preferred":false,"id":714624,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brekke, Levi D.","contributorId":178126,"corporation":false,"usgs":false,"family":"Brekke","given":"Levi","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":714625,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dillabough, Mike","contributorId":197942,"corporation":false,"usgs":false,"family":"Dillabough","given":"Mike","email":"","affiliations":[],"preferred":false,"id":714626,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":149896,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael","email":"mddettin@usgs.gov","middleInitial":"D.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":714621,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Haynes, Alan","contributorId":197943,"corporation":false,"usgs":false,"family":"Haynes","given":"Alan","email":"","affiliations":[],"preferred":false,"id":728616,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hartman, Robert","contributorId":197944,"corporation":false,"usgs":false,"family":"Hartman","given":"Robert","email":"","affiliations":[],"preferred":false,"id":728617,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jones, Christy","contributorId":197945,"corporation":false,"usgs":false,"family":"Jones","given":"Christy","email":"","affiliations":[],"preferred":false,"id":728618,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Forbis, Joe","contributorId":197946,"corporation":false,"usgs":false,"family":"Forbis","given":"Joe","email":"","affiliations":[],"preferred":false,"id":714630,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rutten, Patrick","contributorId":197947,"corporation":false,"usgs":false,"family":"Rutten","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":714631,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Talbot, Cary","contributorId":197948,"corporation":false,"usgs":false,"family":"Talbot","given":"Cary","email":"","affiliations":[],"preferred":false,"id":714632,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Webb, Robert H. rhwebb@usgs.gov","contributorId":1573,"corporation":false,"usgs":false,"family":"Webb","given":"Robert H.","email":"rhwebb@usgs.gov","affiliations":[{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":714633,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70192891,"text":"70192891 - 2017 - What can volunteer angler tagging data tell us about the status of the Giant Trevally (ulua aukea) Caranx ignobilis fishery in Hawaii: revisiting data collected during Hawaii’s Ulua and Papio Tagging Project 2000-2016","interactions":[],"lastModifiedDate":"2018-01-26T11:52:21","indexId":"70192891","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"FWS/CSS-126-2017","title":"What can volunteer angler tagging data tell us about the status of the Giant Trevally (ulua aukea) Caranx ignobilis fishery in Hawaii: revisiting data collected during Hawaii’s Ulua and Papio Tagging Project 2000-2016","docAbstract":"Giant Trevally (ulua aukea) Caranx ignobilis is one of the most highly prized and frequently
targeted nearshore species. However, there is very little information on its current status in
Hawaiian waters. This study uses mark-recapture data collected as part of recreational angler
tagging program conducted by the Hawaii Department of Land and Natural Resources-Division
of Aquatic Resources during 2000-2012. Mark-recapture data were used to estimate von
Bertalanffy growth curve parameters and survivorship. Growth curves generated from the markrecapture
data suggested that Giant Trevally from the main Hawaiian Islands may be growing
faster and reach a smaller maximum size than individuals in the Northwest Hawaiian Islands, but
there are a number of issues rendering this conclusion uncertain. The survivorship of Giant
Trevally was positively associated with age, in part due to ontogenetic habitat shifts that result in
older fish moving to offshore habitats where they are less vulnerable to anglers. When compared
to stock assessments performed using commercial landings data and fisheries-independent visual
surveys, the mark-recapture data produced similar estimates for the average length of exploited
fish, a metric highly negatively correlated to fishing mortality. These results emphasize the need
for additional information on the biology of Giant Trevally in Hawaiian waters and suggest that
the data collected from this recreational angler tagging program may be useful to generate
reliable estimates of mortality for stock assessment purposes.
No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Water in Kentucky: Natural history, communities, and conservation","language":"English","publisher":"University Press of Kentucky","usgsCitation":"Lee, B.D., Williamson, T.N., and Crain, A.S., 2017, Water quality and natural resources in the Green River Basin, chap. of Water in Kentucky: Natural history, communities, and conservation, p. 133-150.","productDescription":"18 p.","startPage":"133","endPage":"150","ipdsId":"IP-046141","costCenters":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"links":[{"id":350972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350971,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.kentuckypress.com/live/title_detail.php?titleid=2917#.WnS7r7enFhE"}],"country":"United States","state":"Kentucky","otherGeospatial":"Green River Basin","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7586d9e4b00f54eb1d81f8","contributors":{"authors":[{"text":"Lee, Brad D.","contributorId":138937,"corporation":false,"usgs":false,"family":"Lee","given":"Brad","email":"","middleInitial":"D.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":715703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williamson, Tanja N. 0000-0002-7639-8495 tnwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-7639-8495","contributorId":198329,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja","email":"tnwillia@usgs.gov","middleInitial":"N.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crain, Angela S. 0000-0003-0969-6238 ascrain@usgs.gov","orcid":"https://orcid.org/0000-0003-0969-6238","contributorId":3090,"corporation":false,"usgs":true,"family":"Crain","given":"Angela","email":"ascrain@usgs.gov","middleInitial":"S.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715701,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70186338,"text":"70186338 - 2017 - Status and trends in the Lake Superior fish community, 2016","interactions":[],"lastModifiedDate":"2018-03-28T13:46:04","indexId":"70186338","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Status and trends in the Lake Superior fish community, 2016","docAbstract":"In 2016, the Lake Superior fish community was sampled with daytime bottom trawls at 76 nearshore and 35 offshore stations. Spring and summer water temperatures in 2016 were warmer than average and considerably warmer than observed in 2014 and 2015. In the nearshore zone, a total of 17,449 individuals from 20 species or morphotypes were collected. Nearshore lakewide mean biomass was 2.2 kg/ha, which was near the lowest biomass on record for this survey since it began in 1978. In the offshore zone, a total 8,487 individuals from 16 species or morphotypes were collected lakewide. Offshore lakewide mean biomass was 4.5 kg/ha, which was the lowest biomass recorded since the offshore survey began in 2011. The density of age-1 Cisco was 5.0 fish/ha, which was 35% of that measured in 2015. Larval Coregonus were collected in surface trawls at 144 locations lakewide from May to July. The average nearshore lakewide larval Coregonus density estimate was 1,630 fish/ha, which was similar to that estimated in 2015.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Compiled reports to the Great Lakes Fishery Commission of the annual bottom trawl and acoustics surveys for 2016","largerWorkSubtype":{"id":6,"text":"USGS Unnumbered Series"},"language":"English","publisher":"U.S. Geological Survey, Great Lakes Fishery Commission","usgsCitation":"Vinson, M., Evrard, L.M., Gorman, O.T., and Yule, D., 2017, Status and trends in the Lake Superior fish community, 2016, 12 p.","productDescription":"12 p.","startPage":"13","endPage":"24","ipdsId":"IP-084948","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":352853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":352852,"rank":1,"type":{"id":15,"text":"Index 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Center","active":true,"usgs":true}],"preferred":true,"id":688361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gorman, Owen T. 0000-0003-0451-110X otgorman@usgs.gov","orcid":"https://orcid.org/0000-0003-0451-110X","contributorId":2888,"corporation":false,"usgs":true,"family":"Gorman","given":"Owen","email":"otgorman@usgs.gov","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":688363,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yule, Daniel 0000-0002-0117-5115 dyule@usgs.gov","orcid":"https://orcid.org/0000-0002-0117-5115","contributorId":139532,"corporation":false,"usgs":true,"family":"Yule","given":"Daniel","email":"dyule@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":688362,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189464,"text":"70189464 - 2017 - Meteorological drivers of hypolimnetic anoxia in a eutrophic, north temperate lake","interactions":[],"lastModifiedDate":"2018-03-27T13:22:01","indexId":"70189464","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Meteorological drivers of hypolimnetic anoxia in a eutrophic, north temperate lake","docAbstract":"Oxygen concentration is both an indicator and driver of water quality in lakes. Decreases in oxygen concentration leads to altered ecosystem function as well as harmful consequences for aquatic biota, such as fishes. The responses of oxygen dynamics in lakes to climate-related drivers, such as temperature and wind speed, are well documented for lake surface waters. However, much less is known about how the oxic environment of bottom waters, especially the timing and magnitude of anoxia in eutrophic lakes, responds to changes in climate drivers. Understanding how important ecosystem states, such as hypolimnetic anoxia, may respond to differing climate scenarios requires a model that couples physical-biological conditions and sufficiently captures the density stratification that leads to strong oxygen gradients. Here, we analyzed the effects of changes in three important meteorological drivers (air temperature, wind speed, and relative humidity) on hypolimnetic anoxia in a eutrophic, north temperate lake using the anoxic factor as an index that captures both the temporal and spatial extent of anoxia. Air temperature and relative humidity were found to have a positive correlation with anoxic factor, while wind speed had a negative correlation. Air temperature was found to have the greatest potential impact of the three drivers on the anoxic factor, followed by wind speed and then relative humidity. Across the scenarios of climate variability, variation in the simulated anoxic factor was primarily due to changes in the timing of onset and decay of stratification. Given the potential for future changes in climate, especially increases in air temperature, this study provides important insight into how these changes will alter lake water quality.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2016.10.014","usgsCitation":"Snortheim, C.A., Hanson, P.C., McMahon, K.D., Read, J.S., Carey, C.C., and Dugan, H., 2017, Meteorological drivers of hypolimnetic anoxia in a eutrophic, north temperate lake: Ecological Modelling, v. 343, p. 39-53, https://doi.org/10.1016/j.ecolmodel.2016.10.014.","productDescription":"15 p.","startPage":"39","endPage":"53","ipdsId":"IP-076787","costCenters":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"links":[{"id":470216,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2016.10.014","text":"Publisher Index Page"},{"id":343798,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"343","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"596886a1e4b0d1f9f05f59a6","contributors":{"authors":[{"text":"Snortheim, Craig A.","contributorId":194623,"corporation":false,"usgs":false,"family":"Snortheim","given":"Craig","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":704781,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanson, Paul C.","contributorId":35634,"corporation":false,"usgs":false,"family":"Hanson","given":"Paul","email":"","middleInitial":"C.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":704782,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McMahon, Katherine D.","contributorId":194624,"corporation":false,"usgs":false,"family":"McMahon","given":"Katherine","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":704783,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Read, Jordan S. 0000-0002-3888-6631 jread@usgs.gov","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":4453,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","email":"jread@usgs.gov","middleInitial":"S.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":704784,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carey, Cayelan C.","contributorId":130969,"corporation":false,"usgs":false,"family":"Carey","given":"Cayelan","email":"","middleInitial":"C.","affiliations":[{"id":7185,"text":"Department of Biological Sciences, Virginia Tech, Blacksburg, VA, USA","active":true,"usgs":false}],"preferred":false,"id":704785,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dugan, Hilary","contributorId":150191,"corporation":false,"usgs":false,"family":"Dugan","given":"Hilary","affiliations":[{"id":17938,"text":"Center for Limnology University of Wisconsin, Madison, WI 53706, US","active":true,"usgs":false}],"preferred":false,"id":704786,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}