The frequency of severe droughts is increasing in many regions around the world as a result of climate change. Droughts alter the structure and function of forests. Site- and region-specific studies suggest that large trees, which play keystone roles in forests and can be disproportionately important to ecosystem carbon storage and hydrology, exhibit greater sensitivity to drought than small trees. Here, we synthesize data on tree growth and mortality collected during 40 drought events in forests worldwide to see whether this size-dependent sensitivity to drought holds more widely. We find that droughts consistently had a more detrimental impact on the growth and mortality rates of larger trees. Moreover, drought-related mortality increased with tree size in 65% of the droughts examined, especially when community-wide mortality was high or when bark beetles were present. The more pronounced drought sensitivity of larger trees could be underpinned by greater inherent vulnerability to hydraulic stress, the higher radiation and evaporative demand experienced by exposed crowns, and the tendency for bark beetles to preferentially attack larger trees. We suggest that future droughts will have a more detrimental impact on the growth and mortality of larger trees, potentially exacerbating feedbacks to climate change.
","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/nplants.2015.139","usgsCitation":"Bennett, A.C., McDowell, N., Allen, C.D., and Anderson-Teixeira, K.J., 2015, Larger trees suffer most during drought in forests worldwide: Nature Plants, v. 1, Article number 15139, https://doi.org/10.1038/nplants.2015.139.","productDescription":"Article number 15139","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065632","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":314089,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-28","publicationStatus":"PW","scienceBaseUri":"5694e048e4b039675d005e30","contributors":{"authors":[{"text":"Bennett, Amy C.","contributorId":150955,"corporation":false,"usgs":false,"family":"Bennett","given":"Amy","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":583762,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDowell, Nathan G.","contributorId":9176,"corporation":false,"usgs":true,"family":"McDowell","given":"Nathan G.","affiliations":[],"preferred":false,"id":583763,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":583702,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson-Teixeira, Kristina J. 0000-0001-8461-9713","orcid":"https://orcid.org/0000-0001-8461-9713","contributorId":150956,"corporation":false,"usgs":false,"family":"Anderson-Teixeira","given":"Kristina","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":583764,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70155182,"text":"sir20155103 - 2015 - Flood-inundation maps for the Tippecanoe River at Winamac, Indiana","interactions":[],"lastModifiedDate":"2015-10-09T09:22:16","indexId":"sir20155103","displayToPublicDate":"2015-09-25T12:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5103","title":"Flood-inundation maps for the Tippecanoe River at Winamac, Indiana","docAbstract":"Digital flood-inundation maps for a 6.2 mile reach of the Tippecanoe River at Winamac, Indiana (Ind.), were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Office of Community and Rural Affairs. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage 03331753, Tippecanoe River at Winamac, Ind. Current conditions for estimating near-real-time areas of inundation using USGS streamgage information may be obtained on the Internet from the USGS National Water Information System at http://waterdata.usgs.gov/in/nwis/uv?site_no=03331753. In addition, information has been provided by the USGS to the National Weather Service (NWS) for incorporation into their Advanced Hydrologic Prediction Service (AHPS) flood warning system (http://water.weather.gov/ahps/). The NWS AHPS forecasts flood hydrographs at many sites that are often collocated with USGS streamgages, including the Tippecanoe River at Winamac, Ind. NWS AHPS forecast peak-stage information may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation and forecasts of flood hydrographs at this site.
\nFor this study, flood profiles were computed for the Tippecanoe River reach by means of a one-dimensional step-backwater model. The hydraulic model was calibrated by using the most current stage-discharge relations at the Tippecanoe River streamgage, in combination with the current (2014) Federal Emergency Management Agency flood-insurance study for Pulaski County. The calibrated hydraulic model was then used to determine nine water-surface profiles for flood stages at 1-foot intervals referenced to the streamgage datum and ranging from bankfull to the highest stage of the current stage-discharge rating curve. The 1-percent annual exceedance probability (AEP) flood stage (flood with recurrence intervals within 100 years) has not been determined yet for this streamgage location. The rating has not been developed for the 1-percent AEP because the streamgage dates to only 2001. The simulated water-surface profiles were then used with a geographic information system (GIS) digital elevation model (DEM, derived from Light Detection and Ranging [lidar]) in order to delineate the area flooded at each water level. The availability of these maps, along with Internet information regarding current stage from the USGS streamgage 03331753, Tippecanoe River at Winamac, Ind., and forecast stream stages from the NWS AHPS, provides emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155103","collaboration":"Prepared in cooperation with the Indiana Office of Community and Rural Affairs","usgsCitation":"Menke, C.D., and Bunch, A.R., 2015, Flood-inundation maps for the Tippecanoe River at Winamac, Indiana: U.S. Geological Survey Scientific Investigations Report 2015–5103, 9 p., https://dx.doi.org/10.3133/sir20155103.","productDescription":"Report: vii, 9 p.; Shape Files; Depth Grid; Read Me; Metadata","numberOfPages":"21","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-062654","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":308491,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5103/coverthb.jpg"},{"id":308585,"rank":3,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sir/2015/5103/downloads/sir2015-5103_tipwinIN_8_16.txt","text":"Flood-inundation maps for the Tippecanoe River","size":"14.6 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2015-5103"},{"id":308586,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sir/2015/5103/downloads/sir2015-5103_tipwinIN_shapefile.txt","text":"Shape File","size":"11.8 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2015-5103"},{"id":308587,"rank":5,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sir/2015/5103/downloads/00Readmewin.txt","text":"Read Me","size":"8.34 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2015-5103"},{"id":308492,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5103/sir20155103.pdf","text":"Report","size":"6.38 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5103"},{"id":308588,"rank":6,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2015/5103/downloads/flood_extent_shape.zip","text":"Flood Shape Files","size":"698 KB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2015-5103"},{"id":308589,"rank":7,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2015/5103/downloads/grids.zip","text":"Depth Grids","size":"5.40 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2015-5103"}],"country":"United States","state":"Indiana","city":"Winamac","otherGeospatial":"Tippecanoe River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.60573959350586,\n 41.022002667989355\n ],\n [\n -86.60573959350586,\n 41.05851470715536\n ],\n [\n -86.56351089477539,\n 41.05851470715536\n ],\n [\n -86.56351089477539,\n 41.022002667989355\n ],\n [\n -86.60573959350586,\n 41.022002667989355\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Indiana Water Science Center
U.S. Geological Survey
5957 Lakeside Blvd.
Indianapolis, IN 46278
http://in.water.usgs.gov/
http://ky.water.usgs.gov/
Anaerobic ammonium oxidation (anammox) couples the oxidation of ammonium with the reduction of nitrite, producing N2. The presence and activity of anammox bacteria in groundwater were investigated at multiple locations in an aquifer variably affected by a large, wastewater-derived contaminant plume. Anammox bacteria were detected at all locations tested using 16S rRNA gene sequencing and quantification of hydrazine oxidoreductase (hzo) gene transcripts. Anammox and denitrification activities were quantified by in situ 15NO2–tracer tests along anoxic flow paths in areas of varying ammonium, nitrate, and organic carbon abundances. Rates of denitrification and anammox were determined by quantifying changes in 28N2, 29N2, 30N2, 15NO3–, 15NO2–, and 15NH4+ with groundwater travel time. Anammox was present and active in all areas tested, including where ammonium and dissolved organic carbon concentrations were low, but decreased in proportion to denitrification when acetate was added to increase available electron supply. Anammox contributed 39–90% of potential N2 production in this aquifer, with rates on the order of 10 nmol N2–N L–1 day–1. Although rates of both anammox and denitrification during the tracer tests were low, they were sufficient to reduce inorganic nitrogen concentrations substantially during the overall groundwater residence times in the aquifer. These results demonstrate that anammox activity in groundwater can rival that of denitrification and may need to be considered when assessing nitrogen mass transport and permanent loss of fixed nitrogen in aquifers.
","language":"English","publisher":"American Chemical Society","publisherLocation":"Easton, PA","doi":"10.1021/acs.est.5b02488","usgsCitation":"Smith, R.L., Bohlke, J.K., Song, B., and C. Tobias, 2015, Role of anaerobic ammonium oxidation (anammox) in nitrogen removal from a freshwater aquifer: Environmental Science & Technology, v. 49, no. 20, p. 12169-12177, https://doi.org/10.1021/acs.est.5b02488.","productDescription":"9 p.","startPage":"12169","endPage":"12177","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068154","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":309714,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"20","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-01","publicationStatus":"PW","scienceBaseUri":"5616425be4b0ba4884c614b8","chorus":{"doi":"10.1021/acs.est.5b02488","url":"http://dx.doi.org/10.1021/acs.est.5b02488","publisher":"American Chemical Society (ACS)","authors":"Smith Richard L., Böhlke J. K., Song Bongkeun, Tobias Craig R.","journalName":"Environmental Science & Technology","publicationDate":"10/20/2015"},"contributors":{"authors":[{"text":"Smith, Richard L. 0000-0002-3829-0125 rlsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-3829-0125","contributorId":1592,"corporation":false,"usgs":true,"family":"Smith","given":"Richard","email":"rlsmith@usgs.gov","middleInitial":"L.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":576805,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohlke, John Karl 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":127841,"corporation":false,"usgs":true,"family":"Bohlke","given":"John","email":"jkbohlke@usgs.gov","middleInitial":"Karl","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":576806,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Song, B.","contributorId":149068,"corporation":false,"usgs":false,"family":"Song","given":"B.","email":"","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":576807,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"C. Tobias","contributorId":149069,"corporation":false,"usgs":false,"family":"C. Tobias","affiliations":[{"id":6619,"text":"University of Connecticutt","active":true,"usgs":false}],"preferred":false,"id":576808,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70159964,"text":"70159964 - 2015 - A new isotopic reference material for stable hydrogen and oxygen isotope-ratio measurements of water—USGS50 Lake Kyoga Water","interactions":[],"lastModifiedDate":"2015-12-07T14:01:06","indexId":"70159964","displayToPublicDate":"2015-09-24T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3233,"text":"Rapid Communications in Mass Spectrometry","active":true,"publicationSubtype":{"id":10}},"title":"A new isotopic reference material for stable hydrogen and oxygen isotope-ratio measurements of water—USGS50 Lake Kyoga Water","docAbstract":"As a result of the need for isotopic reference waters having high δ2HVSMOW-SLAP and δ18OVSMOW-SLAP values for daily use, especially for tropical and equatorial-zone freshwaters, a new secondary isotopic reference material for international distribution was prepared from water collected from Lake Kyoga, Uganda.
\nThis isotopic reference lakewater was filtered through a membrane with 0.2-µm pore size, homogenized, loaded into glass ampoules that were sealed with a torch and autoclaved to eliminate biological activity, and measured by dual-inlet isotope-ratio mass spectrometry. This reference material is available in a case of 144 glass ampoules each containing 5 mL of water.
\nThe δ2H and δ18O values of this reference material are +32.8 ± 0.4 and +4.95 ± 0.02 mUr (milliurey = 0.001 = 1 ‰), respectively, relative to VSMOW, on scales normalized such that the δ2H and δ18O values of SLAP reference water are, respectively, −428 and −55.5 mUr. Each uncertainty is an estimated expanded uncertainty (U = 2uc) about the reference value that provides an interval that has about a 95 % probability of encompassing the true value.
\nThis isotopic reference material, designated as USGS50, is intended as one of two reference waters for daily normalization of stable hydrogen and oxygen isotopic analysis of water with an isotope-ratio mass spectrometer or a laser absorption spectrometer, of use especially for isotope-hydrology laboratories analyzing freshwater samples from equatorial and tropical regions.
","language":"English","publisher":"Wiley","doi":"10.1002/rcm.7369","usgsCitation":"Coplen, T.B., Wassenaar, L.I., Mukwaya, C., Qi, H., and Lorenz, J.M., 2015, A new isotopic reference material for stable hydrogen and oxygen isotope-ratio measurements of water—USGS50 Lake Kyoga Water: Rapid Communications in Mass Spectrometry, v. 29, no. 21, p. 2078-2082, https://doi.org/10.1002/rcm.7369.","productDescription":"5 p.","startPage":"2078","endPage":"2082","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068451","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":311952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Uganda","otherGeospatial":"Lake Kyoga","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 33.03314208984375,\n 2.1171328026628355\n ],\n [\n 32.9864501953125,\n 2.070472083193089\n ],\n [\n 32.93426513671875,\n 1.9002862838753904\n ],\n [\n 32.7996826171875,\n 1.8783255723852184\n ],\n [\n 32.662353515625,\n 1.8289129671536257\n ],\n [\n 32.54974365234375,\n 1.7026302136023004\n ],\n [\n 32.37396240234375,\n 1.7026302136023004\n ],\n [\n 32.3272705078125,\n 1.6147764249055092\n ],\n [\n 32.36572265625,\n 1.548883579847398\n ],\n [\n 32.49755859375,\n 1.526918838498519\n ],\n [\n 32.51953125,\n 1.4637689680642445\n ],\n [\n 32.58819580078125,\n 1.3484472784360075\n ],\n [\n 32.74749755859375,\n 1.312751340599998\n ],\n [\n 32.79144287109375,\n 1.3292264529974078\n ],\n [\n 32.75848388671875,\n 1.3896342476555246\n ],\n [\n 32.80792236328125,\n 1.3868884718166363\n ],\n [\n 32.8546142578125,\n 1.2743089918452106\n ],\n [\n 33.01940917968749,\n 1.1891846312793248\n ],\n [\n 33.06060791015625,\n 1.2166443983257476\n ],\n [\n 32.958984375,\n 1.3319722944135324\n ],\n [\n 32.88482666015625,\n 1.3951257897508365\n ],\n [\n 32.89031982421875,\n 1.4198375698213372\n ],\n [\n 32.95074462890625,\n 1.392380020302357\n ],\n [\n 33.0303955078125,\n 1.3292264529974078\n ],\n [\n 33.07708740234375,\n 1.2852925793638672\n ],\n [\n 33.1292724609375,\n 1.263325357489324\n ],\n [\n 33.16497802734375,\n 1.2825466868972577\n ],\n [\n 33.1951904296875,\n 1.2770548931316381\n ],\n [\n 33.2281494140625,\n 1.2193903597622147\n ],\n [\n 33.28033447265625,\n 1.2001685712337065\n ],\n [\n 33.30780029296874,\n 1.2715630876314767\n ],\n [\n 33.35723876953125,\n 1.3319722944135324\n ],\n [\n 33.35723876953125,\n 1.436311943390042\n ],\n [\n 33.310546875,\n 1.4582775898253464\n ],\n [\n 33.24737548828125,\n 1.425329040790274\n ],\n [\n 33.2171630859375,\n 1.4143460858068722\n ],\n [\n 33.28582763671875,\n 1.4939713066293239\n ],\n [\n 33.24462890625,\n 1.5104451350115682\n ],\n [\n 33.12652587890625,\n 1.4912256565185766\n ],\n [\n 33.167724609375,\n 1.5296644435081868\n ],\n [\n 33.4588623046875,\n 1.628503834970573\n ],\n [\n 33.50555419921875,\n 1.6367402361776193\n ],\n [\n 33.46435546875,\n 1.8042061519566792\n ],\n [\n 33.33251953125,\n 1.7273383791406443\n ],\n [\n 33.20068359375,\n 1.6971394669749607\n ],\n [\n 33.07159423828125,\n 1.6724309149453824\n ],\n [\n 32.89581298828125,\n 1.587321327409907\n ],\n [\n 32.82989501953125,\n 1.6202674001017445\n ],\n [\n 32.706298828125,\n 1.5241732299817299\n ],\n [\n 32.63214111328125,\n 1.5131907609694377\n ],\n [\n 32.60467529296875,\n 1.5653569866197157\n ],\n [\n 32.67608642578125,\n 1.6449766035527875\n ],\n [\n 32.77770996093749,\n 1.7081209445886518\n ],\n [\n 32.8216552734375,\n 1.7657726629466413\n ],\n [\n 32.92877197265625,\n 1.7740084780892118\n ],\n [\n 32.97271728515624,\n 1.7108663042007148\n ],\n [\n 33.02490234375,\n 1.7081209445886518\n ],\n [\n 33.03314208984375,\n 1.8865608717161173\n ],\n [\n 33.17596435546875,\n 1.9057764182382826\n ],\n [\n 33.20068359375,\n 1.9634217625838057\n ],\n [\n 33.12103271484375,\n 2.0265548563992843\n ],\n [\n 33.15948486328125,\n 2.111643378566517\n ],\n [\n 33.10455322265625,\n 2.1720259659849352\n ],\n [\n 33.04412841796875,\n 2.161047491275904\n ],\n [\n 33.03314208984375,\n 2.1171328026628355\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","issue":"21","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-24","publicationStatus":"PW","scienceBaseUri":"5662c73de4b06a3ea36c67a8","contributors":{"authors":[{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - 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Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":581380,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lorenz, Jennifer M. 0000-0002-5826-7264 jlorenz@usgs.gov","orcid":"https://orcid.org/0000-0002-5826-7264","contributorId":3558,"corporation":false,"usgs":true,"family":"Lorenz","given":"Jennifer","email":"jlorenz@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":581381,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70173445,"text":"70173445 - 2015 - Effects of land use on lake nutrients: The importance of scale, hydrologic connectivity, and region","interactions":[],"lastModifiedDate":"2016-06-20T13:14:12","indexId":"70173445","displayToPublicDate":"2015-09-23T14:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Effects of land use on lake nutrients: The importance of scale, hydrologic connectivity, and region","docAbstract":"Catchment land uses, particularly agriculture and urban uses, have long been recognized as major drivers of nutrient concentrations in surface waters. However, few simple models have been developed that relate the amount of catchment land use to downstream freshwater nutrients. Nor are existing models applicable to large numbers of freshwaters across broad spatial extents such as regions or continents. This research aims to increase model performance by exploring three factors that affect the relationship between land use and downstream nutrients in freshwater: the spatial extent for measuring land use, hydrologic connectivity, and the regional differences in both the amount of nutrients and effects of land use on them. We quantified the effects of these three factors that relate land use to lake total phosphorus (TP) and total nitrogen (TN) in 346 north temperate lakes in 7 regions in Michigan, USA. We used a linear mixed modeling framework to examine the importance of spatial extent, lake hydrologic class, and region on models with individual lake nutrients as the response variable, and individual land use types as the predictor variables. Our modeling approach was chosen to avoid problems of multi-collinearity among predictor variables and a lack of independence of lakes within regions, both of which are common problems in broad-scale analyses of freshwaters. We found that all three factors influence land use-lake nutrient relationships. The strongest evidence was for the effect of lake hydrologic connectivity, followed by region, and finally, the spatial extent of land use measurements. Incorporating these three factors into relatively simple models of land use effects on lake nutrients should help to improve predictions and understanding of land use-lake nutrient interactions at broad scales.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0135454","usgsCitation":"Soranno, P.A., Cheruvelil, K.S., Wagner, T., Webster, K.E., and Bremigan, M.T., 2015, Effects of land use on lake nutrients: The importance of scale, hydrologic connectivity, and region: PLoS ONE, v. 10, no. 8, p. 1-22, https://doi.org/10.1371/journal.pone.0135454.","productDescription":"22 p.","startPage":"1","endPage":"22","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061088","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":471776,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0135454","text":"Publisher Index Page"},{"id":324005,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": 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E.","contributorId":147903,"corporation":false,"usgs":false,"family":"Webster","given":"Katherine","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":639811,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bremigan, Mary Tate","contributorId":172173,"corporation":false,"usgs":false,"family":"Bremigan","given":"Mary","email":"","middleInitial":"Tate","affiliations":[],"preferred":false,"id":639812,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70155177,"text":"pp1817 - 2015 - Groundwater availability of the Columbia Plateau Regional Aquifer System, Washington, Oregon, and Idaho","interactions":[],"lastModifiedDate":"2023-04-13T14:33:33.472522","indexId":"pp1817","displayToPublicDate":"2015-09-22T12:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1817","title":"Groundwater availability of the Columbia Plateau Regional Aquifer System, Washington, Oregon, and Idaho","docAbstract":"The Columbia Plateau Regional Aquifer System (CPRAS) covers about 44,000 square miles of southeastern Washington, northeastern Oregon, and western Idaho. The area supports a $6-billion per year agricultural industry, leading the Nation in production of apples, hops, and eight other commodities. Groundwater pumpage and surface-water diversions supply water to croplands that account for about 5 percent of the Nation’s irrigated lands. Groundwater also is the primary source of drinking water for the more than 1.3 million people in the study area. Increasing competitive demands for water for municipal, fisheries/ecosystems, agricultural, domestic, hydropower, and recreational uses must be met by additional groundwater withdrawals and (or) by changes in the way water resources are allocated and used throughout the hydrologic system. As of 2014, most surface-water resources in the study area were either over allocated or fully appropriated, especially during the dry summer season. In response to continued competition for water, numerous water-management activities and concerns have gained prominence: water conservation, conjunctive use, artificial recharge, hydrologic implications of land-use change, pumpage effects on streamflow, and effects of climate variability and change. An integrated understanding of the hydrologic system is important in order to implement effective water-resource management strategies that address these concerns.
\nTo provide information to stakeholders involved in water-management activities, the U.S. Geological Survey (USGS) Groundwater Resources Program assessed the groundwater availability as part of a national study of regional systems (U.S. Geological Survey, 2008). The CPRAS assessment includes:
\nThis effort builds on previous investigations, especially the USGS Columbia Plateau Regional Aquifer-System Analysis study (CP-RASA). A major product of this new assessment is a numerical groundwater-flow model of the system. The model was used to estimate water-budget components of the hydrogeologic units composing the groundwater system, and to evaluate groundwater availability under existing land- and water-use conditions and a possible future climate scenario representing an increase in pumpage demand due to a warming climate. Information from this study also allowed for analysis of:
\nThe model also is a useful tool for investigating water supply, water demand, management strategies, groundwater-surface water exchanges, and potential effects of changing climate on the hydrologic system.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1817","isbn":"978-1-4113-3928-6","collaboration":"Groundwater Resources Program","usgsCitation":"Vaccaro, J.J., Kahle, S.C., Ely, D.M., Burns, E.R., Snyder, D.T., Haynes, J.V., Olsen, T.D., Welch, W.B., and Morgan, D.S., 2015, Groundwater availability of the Columbia Plateau Regional Aquifer System, Washington, Oregon, and Idaho: U.S. Geological Survey Professional Paper 1817, 87 p., https://dx.doi.org/10.3133/pp1817.","productDescription":"xi, 87 p.","numberOfPages":"104","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055330","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":415710,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7N015G7","text":"Data Release: MODFLOW-NWT model used to evaluate the groundwater availability of the Columbia Plateau Regional Aquifer System, Washington, Oregon, and Idaho"},{"id":308248,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs20153063","text":"Fact Sheet 2015-3063"},{"id":308247,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1817/pp1817.pdf","text":"Report","size":"24 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1817 PDF"},{"id":308246,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1817/coverthb.jpg"}],"country":"United States","state":"Idaho, Oregon, Washington","otherGeospatial":"Columbia Plateau Regional Aquifer System","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.1240234375,\n 43.929549935614595\n ],\n [\n -122.1240234375,\n 48.03401915864286\n ],\n [\n -115.4443359375,\n 48.03401915864286\n ],\n [\n -115.4443359375,\n 43.929549935614595\n ],\n [\n -122.1240234375,\n 43.929549935614595\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Washington Water Science Center
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934 Broadway, Suite 300
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http://wa.water.usgs.gov/
Project web page at:http://wa.water.usgs.gov/projects/cpgw/
","tableOfContents":"Natural hydrate-bearing sediments from the Nankai Trough, offshore Japan, were studied using the Pressure Core Characterization Tools (PCCTs) to obtain geomechanical, hydrological, electrical, and biological properties under in situ pressure, temperature, and restored effective stress conditions. Measurement results, combined with index-property data and analytical physics-based models, provide unique insight into hydrate-bearing sediments in situ. Tested cores contain some silty-sands, but are predominantly sandy- and clayey-silts. Hydrate saturations Sh range from 0.15 to 0.74, with significant concentrations in the silty-sands. Wave velocity and flexible-wall permeameter measurements on never-depressurized pressure-core sediments suggest hydrates in the coarser-grained zones, the silty-sands where Sh exceeds 0.4, contribute to soil-skeletal stability and are load-bearing. In the sandy- and clayey-silts, where Sh < 0.4, the state of effective stress and stress history are significant factors determining sediment stiffness. Controlled depressurization tests show that hydrate dissociation occurs too quickly to maintain thermodynamic equilibrium, and pressure–temperature conditions track the hydrate stability boundary in pure-water, rather than that in seawater, in spite of both the in situ pore water and the water used to maintain specimen pore pressure prior to dissociation being saline. Hydrate dissociation accompanied with fines migration caused up to 2.4% vertical strain contraction. The first-ever direct shear measurements on never-depressurized pressure-core specimens show hydrate-bearing sediments have higher sediment strength and peak friction angle than post-dissociation sediments, but the residual friction angle remains the same in both cases. Permeability measurements made before and after hydrate dissociation demonstrate that water permeability increases after dissociation, but the gain is limited by the transition from hydrate saturation before dissociation to gas saturation after dissociation. In a proof-of-concept study, sediment microbial communities were successfully extracted and stored under high-pressure, anoxic conditions. Depressurized samples of these extractions were incubated in air, where microbes exhibited temperature-dependent growth rates.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2015.02.033","usgsCitation":"Santamarina, J., Dai, S., Terzariol, M., Jang, J., Waite, W., Winters, W.J., Nagao, J., Yoneda, J., Konno, Y., Fujii, T., and Suzuki, K., 2015, Hydro-bio-geomechanical properties of hydrate-bearing sediments from Nankai Trough: Journal of Marine and Petroleum Geology, v. 66, no. 2, p. 434-450, https://doi.org/10.1016/j.marpetgeo.2015.02.033.","productDescription":"17 p.","startPage":"434","endPage":"450","ipdsId":"IP-062005","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471780,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marpetgeo.2015.02.033","text":"Publisher Index Page"},{"id":345091,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"66","issue":"2","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599e944ae4b04935557fe9dd","contributors":{"authors":[{"text":"Santamarina, J.C.","contributorId":50283,"corporation":false,"usgs":true,"family":"Santamarina","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":708293,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dai, Shifeng","contributorId":138922,"corporation":false,"usgs":false,"family":"Dai","given":"Shifeng","email":"","affiliations":[{"id":12582,"text":"State Key Laboratory of Coal Resources and Safe Mining, University of Mining and Technology, Beijing, People’s Republic of China","active":true,"usgs":false}],"preferred":false,"id":708294,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Terzariol, M.","contributorId":195811,"corporation":false,"usgs":false,"family":"Terzariol","given":"M.","email":"","affiliations":[],"preferred":false,"id":708295,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jang, Jeonghwan","contributorId":190816,"corporation":false,"usgs":false,"family":"Jang","given":"Jeonghwan","email":"","affiliations":[],"preferred":false,"id":708296,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waite, William F. 0000-0002-9436-4109 wwaite@usgs.gov","orcid":"https://orcid.org/0000-0002-9436-4109","contributorId":625,"corporation":false,"usgs":true,"family":"Waite","given":"William F.","email":"wwaite@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":708292,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Winters, William J. bwinters@usgs.gov","contributorId":522,"corporation":false,"usgs":true,"family":"Winters","given":"William","email":"bwinters@usgs.gov","middleInitial":"J.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":708297,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nagao, J.","contributorId":195812,"corporation":false,"usgs":false,"family":"Nagao","given":"J.","email":"","affiliations":[],"preferred":false,"id":708298,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yoneda, J.","contributorId":195813,"corporation":false,"usgs":false,"family":"Yoneda","given":"J.","email":"","affiliations":[],"preferred":false,"id":708299,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Konno, Y.","contributorId":195814,"corporation":false,"usgs":false,"family":"Konno","given":"Y.","affiliations":[],"preferred":false,"id":708300,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Fujii, T.","contributorId":195815,"corporation":false,"usgs":false,"family":"Fujii","given":"T.","email":"","affiliations":[],"preferred":false,"id":708301,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Suzuki, K.","contributorId":178737,"corporation":false,"usgs":false,"family":"Suzuki","given":"K.","email":"","affiliations":[],"preferred":false,"id":708302,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70170347,"text":"70170347 - 2015 - Importance of the colmation layer in the transport and removal of cyanobacteria, viruses, and dissolved organic carbon during natural lake-bank filtration","interactions":[],"lastModifiedDate":"2018-09-04T16:00:09","indexId":"70170347","displayToPublicDate":"2015-09-16T17:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Importance of the colmation layer in the transport and removal of cyanobacteria, viruses, and dissolved organic carbon during natural lake-bank filtration","docAbstract":"This study focused on the importance of the colmation layer in the removal of cyanobacteria, viruses, and dissolved organic carbon (DOC) during natural bank filtration. Injection-and-recovery studies were performed at two shallow (0.5 m deep), sandy, near-shore sites at the southern end of Ashumet Pond, a waste-impacted, kettle pond on Cape Cod, MA, that is subject to periodic blooms of cyanobacteria and continuously recharges a sole-source drinking-water aquifer. The experiment involved assessing the transport behaviors of bromide (conservative tracer), Synechococcus sp. IU625 (cyanobacterium, 2.6 ± 0.2 µm), AS-1 (tailed cyanophage, 110 nm long), MS2 (coliphage, 26 nm diameter), and carboxylate-modified microspheres (1.7 µm diameter) introduced to the colmation layer using a bag-and-barrel (Lee-type) seepage meter. The injectate constituents were tracked as they were advected across the pond water–groundwater interface and through the underlying aquifer sediments under natural-gradient conditions past push-point samplers placed at ∼30-cm intervals along a 1.2-m-long, diagonally downward flow path. More than 99% of the microspheres, IU625, MS2, AS-1, and ∼44% of the pond DOC were removed in the colmation layer (upper 25 cm of poorly sorted bottom sediments) at two test locations characterized by dissimilar seepage rates (1.7 vs. 0.26 m d−1). Retention profiles in recovered core material indicated that >82% of the attached IU625 were in the top 3 cm of bottom sediments. The colmation layer was also responsible for rapid changes in the character of the DOC and was more effective (by three orders of magnitude) at removing microspheres than was the underlying 20-cm-thick segment of sediment.
","language":"English","publisher":"American Society of Agronomy","publisherLocation":"Madison, WI","doi":"10.2134/jeq2015.03.0151","usgsCitation":"Harvey, R.W., Metge, D.W., LeBlanc, D.R., Underwood, J., Aiken, G.R., Butler, K.D., McCobb, T.D., and Jasperse, J., 2015, Importance of the colmation layer in the transport and removal of cyanobacteria, viruses, and dissolved organic carbon during natural lake-bank filtration: Journal of Environmental Quality, v. 44, no. 5, p. 1413-1423, https://doi.org/10.2134/jeq2015.03.0151.","productDescription":"11 p.","startPage":"1413","endPage":"1423","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066009","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central 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effect of tropical and extratropical cyclones on coastal wetlands and marshes is highly variable and depends on a number of climatic, geologic, and physical variables. The impacts of storms can be either positive or negative with respect to the wetland and marsh ecosystems. Small to moderate amounts of inorganic sediment added to the marsh surface during storms or other events help to abate pressure from sea-level rise. However, if the volume of sediment is large and the resulting deposits are thick, the organic substrate may compact causing submergence and a loss in elevation. Similarly, thick deposits of coarse inorganic sediment may also alter the hydrology of the site and impede vegetative processes. Alternative impacts associated with storms include shoreline erosion at the marsh edge as well as potential emergence. Evaluating the outcome of these various responses and potential long-term implications is possible from a systematic assessment of both historical and recent event deposits. A study was conducted by the U.S. Geological Survey to assess the sedimentological and radiochemical characteristics of marsh deposits from Assateague Island and areas around Chincoteague Bay, Maryland and Virginia, following Hurricane Sandy in 2012. The objectives of this study were to (1) characterize the surficial sediment of the relict to recent washover fans and back-barrier marshes in the study area, and (2) characterize the sediment of six marsh cores from the back-barrier marshes and a single marsh island core near the mainland. These geologic data will be integrated with other remote sensing data collected along Assateague Island in Maryland and Virginia and assimilated into an assessment of coastal wetland response to storms.
\nThis report serves as an archive for sedimentological and radiochemical data derived from the surface sediments and marsh cores collected March 26–April 4, 2014. Select surficial data are available for the additional sampling periods October 21–30, 2014. Downloadable data are available as Excel spreadsheets and as JPEG files. Additional files include: Field documentation, x-radiographs, photographs, detailed results of sediment grain size analyses, and formal Federal Geographic Data Committee metadata (data downloads).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151169","usgsCitation":"Smith, C.G., Marot, M.E., Ellis, A.M., Wheaton, C.J., Bernier, J.C., and Adams, C.S., 2015, Sedimentological and radiochemical characteristics of marsh deposits from Assateague Island and the adjacent vicinity, Maryland and Virginia, following Hurricane Sandy: U.S. Geological Survey Open-File Report 2015–1169, https://dx.doi.org/10.3133/ofr20151169.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2014-03-26","temporalEnd":"2014-10-30","ipdsId":"IP-065781","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":308090,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1169/index.html","text":"Report (HTML)","description":"OFR 2015-1169"},{"id":308089,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1169/images/coverthb.jpg"}],"country":"United States","state":"Maryland, Virginia","otherGeospatial":"Assateague Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.4815673828125,\n 37.82931081282506\n ],\n [\n -75.4815673828125,\n 38.447135775082444\n ],\n [\n -75.02838134765625,\n 38.447135775082444\n ],\n [\n -75.02838134765625,\n 37.82931081282506\n ],\n [\n -75.4815673828125,\n 37.82931081282506\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, St. Petersburg Coastal and Marine Science Center
U.S. Geological Survey
600 Fourth Street South
St. Petersburg, FL 33701-4846
(727) 502-8000
http://coastal.er.usgs.gov/
Tidal wetlands are highly productive and act as critical habitat for a wide variety of plants, fish, shellfish, and other wildlife. These ecotones between aquatic and terrestrial environments also provide protection from storm damage, run-off filtering, and recharge of aquifers. Many wetlands along coasts have been exposed to stress-inducing alterations globally, including dredge and fill operations, hydrologic modifications, pollutants, impoundments, fragmentation by roads/ditches, and sea level rise. For wetland protection and sensible coastal development, there is a need to monitor these ecosystems at global and regional scales. Recent advances in satellite sensor design and data analysis are providing practical methods for monitoring natural and man-made changes in wetlands. However, available satellite remote sensors have been limited to mapping primarily wetland location and extent. This paper describes how the HyspIRI hyperspectral and thermal infrared sensors can be used to study and map key ecological properties, such as species composition, biomass, hydrology, and evapotranspiration of tidal salt and brackish marshes and mangroves, and perhaps other major wetland types, including freshwater marshes and wooded/shrub wetlands.
","language":"English","publisher":"American Elsevier Pub. Co","publisherLocation":"New York, NY","doi":"10.1016/j.rse.2015.05.008","usgsCitation":"Kevin Turpie, Klemas, V., Byrd, K.B., Kelly, M., and Jo, Y., 2015, Prospective HyspIRI global observations of tidal wetlands: Remote Sensing of Environment, v. 167, p. 206-217, https://doi.org/10.1016/j.rse.2015.05.008.","productDescription":"12 p.","startPage":"206","endPage":"217","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059690","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":471794,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/2hw3t446","text":"External Repository"},{"id":312010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"167","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5666bbece4b06a3ea36c8b40","contributors":{"authors":[{"text":"Kevin Turpie","contributorId":150358,"corporation":false,"usgs":false,"family":"Kevin Turpie","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":581399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klemas, Victor","contributorId":150359,"corporation":false,"usgs":false,"family":"Klemas","given":"Victor","email":"","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":581400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Byrd, Kristin B. 0000-0002-5725-7486 kbyrd@usgs.gov","orcid":"https://orcid.org/0000-0002-5725-7486","contributorId":3814,"corporation":false,"usgs":true,"family":"Byrd","given":"Kristin","email":"kbyrd@usgs.gov","middleInitial":"B.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":581398,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelly, Maggi","contributorId":150360,"corporation":false,"usgs":false,"family":"Kelly","given":"Maggi","email":"","affiliations":[{"id":7102,"text":"University of California, Berkeley, Dept. of Civil & Envir. Engineering","active":true,"usgs":false}],"preferred":false,"id":581401,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jo, Young-Heon","contributorId":150361,"corporation":false,"usgs":false,"family":"Jo","given":"Young-Heon","email":"","affiliations":[{"id":18010,"text":"Pusan National University, Busan, South Korea","active":true,"usgs":false}],"preferred":false,"id":581402,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70164515,"text":"70164515 - 2015 - Sustainable water management under future uncertainty with eco-engineering decision scaling","interactions":[],"lastModifiedDate":"2016-02-09T12:17:51","indexId":"70164515","displayToPublicDate":"2015-09-14T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"Sustainable water management under future uncertainty with eco-engineering decision scaling","docAbstract":"Managing freshwater resources sustainably under future climatic and hydrological uncertainty poses novel challenges. Rehabilitation of ageing infrastructure and construction of new dams are widely viewed as solutions to diminish climate risk, but attaining the broad goal of freshwater sustainability will require expansion of the prevailing water resources management paradigm beyond narrow economic criteria to include socially valued ecosystem functions and services. We introduce a new decision framework, eco-engineering decision scaling (EEDS), that explicitly and quantitatively explores trade-offs in stakeholder-defined engineering and ecological performance metrics across a range of possible management actions under unknown future hydrological and climate states. We illustrate its potential application through a hypothetical case study of the Iowa River, USA. EEDS holds promise as a powerful framework for operationalizing freshwater sustainability under future hydrological uncertainty by fostering collaboration across historically conflicting perspectives of water resource engineering and river conservation ecology to design and operate water infrastructure for social and environmental benefits.
","language":"English","publisher":"Nature Pub. Group","publisherLocation":"New York, NY","doi":"10.1038/nclimate2765","usgsCitation":"Poff, N., Brown, C.M., Grantham, T.E., Matthews, J.H., Palmer, M.A., Spence, C.M., Wilby, R.L., Haasnoot, M., Mendoza, G., Dominique, K.C., and Baeza, A., 2015, Sustainable water management under future uncertainty with eco-engineering decision scaling: Nature Climate Change, v. 6, p. 25-34, https://doi.org/10.1038/nclimate2765.","productDescription":"10","startPage":"25","endPage":"34","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063765","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":471797,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://dspace.lboro.ac.uk/2134/19029","text":"External Repository"},{"id":316737,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-14","publicationStatus":"PW","scienceBaseUri":"56bb1bd1e4b08d617f654e6f","contributors":{"authors":[{"text":"Poff, N LeRoy","contributorId":156377,"corporation":false,"usgs":false,"family":"Poff","given":"N LeRoy","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":597700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Casey M","contributorId":156378,"corporation":false,"usgs":false,"family":"Brown","given":"Casey","email":"","middleInitial":"M","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":597701,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grantham, Theodore E. tgrantham@usgs.gov","contributorId":156376,"corporation":false,"usgs":true,"family":"Grantham","given":"Theodore","email":"tgrantham@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":597699,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Matthews, John H","contributorId":156379,"corporation":false,"usgs":false,"family":"Matthews","given":"John","email":"","middleInitial":"H","affiliations":[{"id":20334,"text":"Alliance for Global Water Adaptation","active":true,"usgs":false}],"preferred":false,"id":597702,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Palmer, Margaret A.","contributorId":149194,"corporation":false,"usgs":false,"family":"Palmer","given":"Margaret","email":"","middleInitial":"A.","affiliations":[{"id":17669,"text":"Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, Solomons, Maryland, US","active":true,"usgs":false}],"preferred":false,"id":597703,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Spence, Caitlin M","contributorId":156380,"corporation":false,"usgs":false,"family":"Spence","given":"Caitlin","email":"","middleInitial":"M","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":597704,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wilby, Robert L.","contributorId":101561,"corporation":false,"usgs":true,"family":"Wilby","given":"Robert","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":597705,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Haasnoot, Marjolijn","contributorId":156381,"corporation":false,"usgs":false,"family":"Haasnoot","given":"Marjolijn","email":"","affiliations":[{"id":17614,"text":"Delft University of Technology","active":true,"usgs":false}],"preferred":false,"id":597706,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mendoza, Guillermo F","contributorId":156382,"corporation":false,"usgs":false,"family":"Mendoza","given":"Guillermo F","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":597707,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dominique, Kathleen C","contributorId":156383,"corporation":false,"usgs":false,"family":"Dominique","given":"Kathleen","email":"","middleInitial":"C","affiliations":[{"id":20335,"text":"Organisation for Economic Co-operation and Development","active":true,"usgs":false}],"preferred":false,"id":597708,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Baeza, Andres","contributorId":156384,"corporation":false,"usgs":false,"family":"Baeza","given":"Andres","email":"","affiliations":[{"id":20336,"text":"National Socio-Environmental Synthesis Center","active":true,"usgs":false}],"preferred":false,"id":597709,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70157082,"text":"70157082 - 2015 - Bistability of mangrove forests and competition with freshwater plants","interactions":[],"lastModifiedDate":"2015-09-08T13:05:29","indexId":"70157082","displayToPublicDate":"2015-09-08T14:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":681,"text":"Agricultural and Forest Meteorology","active":true,"publicationSubtype":{"id":10}},"title":"Bistability of mangrove forests and competition with freshwater plants","docAbstract":"Halophytic communities such as mangrove forests and buttonwood hammocks tend to border freshwater plant communities as sharp ecotones. Most studies attribute this purely to underlying physical templates, such as groundwater salinity gradients caused by tidal flux and topography. However, a few recent studies hypothesize that self-reinforcing feedback between vegetation and vadose zone salinity are also involved and create a bistable situation in which either halophytic dominated habitat or freshwater plant communities may dominate as alternative stable states. Here, we revisit the bistability hypothesis and demonstrate the mechanisms that result in bistability. We demonstrate with remote sensing imagery the sharp boundaries between freshwater hardwood hammock communities in southern Florida and halophytic communities such as buttonwood hammocks and mangroves. We further document from the literature how transpiration of mangroves and freshwater plants respond differently to vadose zone salinity, thus altering the salinity through feedback. Using mathematical models, we show how the self-reinforcing feedback, together with physical template, controls the ecotones between halophytic and freshwater communities. Regions of bistability along environmental gradients of salinity have the potential for large-scale vegetation shifts following pulse disturbances such as hurricane tidal surges in Florida, or tsunamis in other regions. The size of the region of bistability can be large for low-lying coastal habitat due to the saline water table, which extends inland due to salinity intrusion. We suggest coupling ecological and hydrologic processes as a framework for future studies.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.agrformet.2014.10.004","usgsCitation":"Jiang, J., Fuller, D.O., Teh, S., Zhai, L., Koh, H.L., DeAngelis, D., and Sternberg, L., 2015, Bistability of mangrove forests and competition with freshwater plants: Agricultural and Forest Meteorology, v. 213, p. 283-290, https://doi.org/10.1016/j.agrformet.2014.10.004.","productDescription":"8 p.","startPage":"283","endPage":"290","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060680","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":471809,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.agrformet.2014.10.004","text":"Publisher Index Page"},{"id":307949,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.00494384765625,\n 25.124149253988598\n ],\n [\n -81.00494384765625,\n 25.247180194609925\n ],\n [\n -80.81817626953125,\n 25.247180194609925\n ],\n [\n -80.81817626953125,\n 25.124149253988598\n ],\n [\n -81.00494384765625,\n 25.124149253988598\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"213","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55eff8a7e4b0dacf699e9fd1","chorus":{"doi":"10.1016/j.agrformet.2014.10.004","url":"http://dx.doi.org/10.1016/j.agrformet.2014.10.004","publisher":"Elsevier BV","authors":"Jiang Jiang, Fuller Douglas O., Teh Su Yean, Zhai Lu, Koh Hock Lye, DeAngelis Donald L., Sternberg Leonel da Silveira Lobo","journalName":"Agricultural and Forest Meteorology","publicationDate":"11/2015","auditedOn":"12/3/2014"},"contributors":{"authors":[{"text":"Jiang, Jiang","contributorId":46838,"corporation":false,"usgs":true,"family":"Jiang","given":"Jiang","affiliations":[],"preferred":false,"id":571539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Douglas O","contributorId":147394,"corporation":false,"usgs":false,"family":"Fuller","given":"Douglas","email":"","middleInitial":"O","affiliations":[{"id":16838,"text":"Department of Geography, University of Miami, Coral Gables FL","active":true,"usgs":false}],"preferred":false,"id":571540,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Teh, Su Yean","contributorId":118102,"corporation":false,"usgs":true,"family":"Teh","given":"Su Yean","affiliations":[],"preferred":false,"id":571541,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhai, Lu","contributorId":147395,"corporation":false,"usgs":false,"family":"Zhai","given":"Lu","affiliations":[{"id":16839,"text":"Department of Biology, University of Miami, Coral Gables, Florida","active":true,"usgs":false}],"preferred":false,"id":571542,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Koh, Hock Lye","contributorId":119022,"corporation":false,"usgs":true,"family":"Koh","given":"Hock","email":"","middleInitial":"Lye","affiliations":[],"preferred":false,"id":571543,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":147289,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald L.","email":"don_deangelis@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":571538,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sternberg, L.D.S.L.","contributorId":41223,"corporation":false,"usgs":true,"family":"Sternberg","given":"L.D.S.L.","email":"","affiliations":[],"preferred":false,"id":571544,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70157399,"text":"70157399 - 2015 - Investigating the temporal effects of metal-based coagulants to remove mercury from solution in the presence of dissolved organic matter","interactions":[],"lastModifiedDate":"2018-08-10T09:59:24","indexId":"70157399","displayToPublicDate":"2015-09-02T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Investigating the temporal effects of metal-based coagulants to remove mercury from solution in the presence of dissolved organic matter","docAbstract":"The presence of mercury (Hg), particularly methylmercury (MeHg), is a concern for both human and ecological health as MeHg is a neurotoxin and can bioaccumulate to lethal levels in upper trophic level organisms. Recent research has demonstrated that coagulation with metal-based salts can effectively remove both inorganic mercury (IHg) and MeHg from solution through association with dissolved organic matter (DOM) and subsequent flocculation and precipitation. In this study, we sought to further examine interactions between Hg and DOM and the resulting organo-metallic precipitate (floc) to assess if (1) newly added IHg could be removed to the same extent as ambient IHg or whether the association between IHg and DOM requires time, and (2) once formed, if the floc has the capacity to remove additional Hg from solution. Agricultural drainage water samples containing ambient concentrations of both DOM and IHg were spiked with a traceable amount of isotopically enriched IHg and dosed with ferric sulfate after 0, 1, 5, and 30 days. Both ambient and newly added IHg were removed within hours, with 69–79 % removed. To a separate sample set, isotopically enriched IHg was added to solution after floc had formed. Under those conditions, 81–95 % of newly added Hg was removed even at Hg concentrations 1000-fold higher than ambient levels. Results of this study indicate coagulation with ferric sulfate effectively removes both ambient and newly added IHg entering a system and suggests rapid association between IHg and DOM. This work also provides new information regarding the ability of floc to remove additional Hg from solution even after it has formed.
","language":"English","publisher":"Springer","publisherLocation":"New York, NY","doi":"10.1007/s00267-015-0601-2","usgsCitation":"Henneberry, Y.K., Kraus, T.E., Krabbenhoft, D.P., and Horwath, W., 2015, Investigating the temporal effects of metal-based coagulants to remove mercury from solution in the presence of dissolved organic matter: Environmental Management, v. 57, no. 1, p. 220-228, https://doi.org/10.1007/s00267-015-0601-2.","productDescription":"9 p.","startPage":"220","endPage":"228","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063553","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":308426,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-02","publicationStatus":"PW","scienceBaseUri":"5603cd45e4b03bc34f544b15","contributors":{"authors":[{"text":"Henneberry, Yumiko K.","contributorId":66157,"corporation":false,"usgs":true,"family":"Henneberry","given":"Yumiko","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":573005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kraus, Tamara E. C. 0000-0002-5187-8644 tkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-5187-8644","contributorId":147560,"corporation":false,"usgs":true,"family":"Kraus","given":"Tamara","email":"tkraus@usgs.gov","middleInitial":"E. C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":573004,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":573006,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horwath, William R.","contributorId":37234,"corporation":false,"usgs":true,"family":"Horwath","given":"William R.","affiliations":[],"preferred":false,"id":573007,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70156871,"text":"70156871 - 2015 - Effects of urbanization and stormwater control measures on streamflows in the vicinity of Clarksburg, Maryland, USA","interactions":[],"lastModifiedDate":"2015-09-02T09:00:25","indexId":"70156871","displayToPublicDate":"2015-09-02T10:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Effects of urbanization and stormwater control measures on streamflows in the vicinity of Clarksburg, Maryland, USA","docAbstract":"Understanding the efficacy of revised watershed management methods is important to mitigating the impacts of urbanization on streamflow. We evaluated the influence of land use change, primarily as urbanization, and stormwater control measures on the relationship between precipitation and stream discharge over an 8-year period for five catchments near Clarksburg, Montgomery County, Maryland, USA. A unit-hydrograph model based on a temporal transfer function was employed to account for and standardize temporal variation in rainfall pattern, and properly apportion rainfall to streamflow at different time lags. From these lagged relationships, we quantified a correction to the precipitation time series to achieve a hydrograph that showed good agreement between precipitation and discharge records. Positive corrections appeared to include precipitation events that were of limited areal extent and therefore not captured by our rain gages. Negative corrections were analysed for potential causal relationships. We used mixed-model statistical techniques to isolate different sources of variance as drivers that mediate the rainfall–runoff dynamic before and after management. Seasonal periodicity mediated rainfall–runoff relationships, and land uses (i.e. agriculture, natural lands, wetlands and stormwater control measures) were statistically significant predictors of precipitation apportionment to stream discharge. Our approach is one way to evaluate actual effectiveness of management efforts in the face of complicating circumstances and could be paired with cost data to understand economic efficiency or life cycle aspects of watershed management. Published 2015. This article is a U.S. Government work and is in the public domain in the USA.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.10505","usgsCitation":"Rhea, L., Jarnagin, T., Hogan, D.M., Loperfido, J., and Shuster, W., 2015, Effects of urbanization and stormwater control measures on streamflows in the vicinity of Clarksburg, Maryland, USA: Hydrological Processes, v. 29, no. 20, p. 4413-4426, https://doi.org/10.1002/hyp.10505.","productDescription":"14 p.","startPage":"4413","endPage":"4426","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1998-01-01","temporalEnd":"2010-12-31","ipdsId":"IP-053400","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":307802,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","county":"Montgomery County","otherGeospatial":"Clarksburg","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.32315063476562,\n 39.17771552084858\n ],\n [\n -77.32315063476562,\n 39.32101883236063\n ],\n [\n -77.16865539550781,\n 39.32101883236063\n ],\n [\n -77.16865539550781,\n 39.17771552084858\n ],\n [\n -77.32315063476562,\n 39.17771552084858\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","issue":"20","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-11","publicationStatus":"PW","scienceBaseUri":"55e80f98e4b0dacf699e663a","chorus":{"doi":"10.1002/hyp.10505","url":"http://dx.doi.org/10.1002/hyp.10505","publisher":"Wiley-Blackwell","authors":"Rhea Lee, Jarnagin Taylor, Hogan Dianna, Loperfido J. 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V.","email":"jloperfido@usgs.gov","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":570902,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shuster, William","contributorId":147261,"corporation":false,"usgs":false,"family":"Shuster","given":"William","affiliations":[{"id":16813,"text":"Sustainable Environments Branch, National Risk Management Research Laboratory, Office of Research and Development, EPA","active":true,"usgs":false}],"preferred":false,"id":570903,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70157231,"text":"70157231 - 2015 - Climate change and physical disturbance cause similar community shifts in biological soil crusts","interactions":[],"lastModifiedDate":"2015-10-05T16:04:25","indexId":"70157231","displayToPublicDate":"2015-09-01T12:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"title":"Climate change and physical disturbance cause similar community shifts in biological soil crusts","docAbstract":"Biological soil crusts (biocrusts)—communities of mosses, lichens, cyanobacteria, and heterotrophs living at the soil surface—are fundamental components of drylands worldwide, and destruction of biocrusts dramatically alters biogeochemical processes, hydrology, surface energy balance, and vegetation cover. While there has been long-standing concern over impacts of 5 physical disturbances on biocrusts (e.g., trampling by livestock, damage from vehicles), there is also increasing concern over the potential for climate change to alter biocrust community structure. Using long-term data from the Colorado Plateau, USA, we examined the effects of 10 years of experimental warming and altered precipitation (in full-factorial design) on biocrust communities, and compared the effects of altered climate with those of long-term physical 10 disturbance (>10 years of replicated human trampling). Surprisingly, altered climate and physical disturbance treatments had similar effects on biocrust community structure. Warming, altered precipitation frequency [an increase of small (1.2 mm) summer rainfall events], and physical disturbance from trampling all promoted early successional community states marked by dramatic declines in moss cover and increased cyanobacteria cover, with more variable effects 15 on lichens. While the pace of community change varied significantly among treatments, our results suggest that multiple aspects of climate change will affect biocrusts to the same degree as physical disturbance. This is particularly disconcerting in the context of warming, as temperatures for drylands are projected to increase beyond those imposed by the climate treatments used in our study.
","language":"English","publisher":"National Academy of Sciences","publisherLocation":"Washington, D.C.","doi":"10.1073/pnas.1509150112","usgsCitation":"Ferrenberg, S., Reed, S.C., and Belnap, J., 2015, Climate change and physical disturbance cause similar community shifts in biological soil crusts: PNAS, v. 112, no. 39, p. 12116-12121, https://doi.org/10.1073/pnas.1509150112.","productDescription":"6 p.","startPage":"12116","endPage":"12121","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066539","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":471818,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1073/pnas.1509150112","text":"External Repository"},{"id":308199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"112","issue":"39","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-14","publicationStatus":"PW","scienceBaseUri":"55fa92b1e4b05d6c4e501a60","contributors":{"authors":[{"text":"Ferrenberg, Scott 0000-0002-3542-0334 sferrenberg@usgs.gov","orcid":"https://orcid.org/0000-0002-3542-0334","contributorId":147684,"corporation":false,"usgs":true,"family":"Ferrenberg","given":"Scott","email":"sferrenberg@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":572329,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":572330,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":572331,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70168977,"text":"70168977 - 2015 - Sediment yields from small, steep coastal watersheds of California","interactions":[],"lastModifiedDate":"2016-03-10T09:35:29","indexId":"70168977","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Sediment yields from small, steep coastal watersheds of California","docAbstract":"Global inventories of sediment discharge to the ocean highlight the importance of small, steep watersheds (i.e., those having drainage areas less than 100,000 km2 and over 1000 m of relief) that collectively provide a dominant flux of sediment. The smallest of these coastal watersheds (e.g., those that have drainage areas less than 1000 km2) can represent a large portion of the drainage areas of active margin coasts, such as California’s coast, but remain almost universally unmonitored. Here we report on the suspended-sediment discharge of several small coastal watersheds (10-56 km2) of the Santa Ynez Mountains, California, that were found to have ephemeral discharge and suspended-sediment concentrations ranging between 1 and over 200,000 mgL-1. Sediment concentrations were weakly correlated with discharge (r2 = 0.10–0.25), and all types of hysteresis patterns were observed during high flows (clockwise, counterclockwise, no hysteresis, and complex). Sediment discharge varied strongly with time and was measurably elevated in one watershed following a wildfire. Although sediment yields varied by over 100-fold across the watersheds (e.g., 15 – 2100 tkm-2 yr -1during the relatively wet 2005 water year), the majority of sediment discharge (65-80%) occurred during only 1% of the time for all watersheds. Furthermore, sampling of dozens of high flow events provides evidence that sediment yields were generally related to peak discharge yields, although these relationships were not consistent across the watersheds. These results suggest that small watersheds of active margins can provide large fluxes of sediment to the coast, but that the rates and timing of this sediment discharge is more irregular in time – and thus more difficult to characterize – than the better monitored and studied watersheds that are 1000-100,000 km2.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2015.08.004","usgsCitation":"Warrick, J., Melack, J.M., and Goodridge, B.M., 2015, Sediment yields from small, steep coastal watersheds of California: Journal of Hydrology: Regional Studies, v. 4, no. Part B, p. 516-534, https://doi.org/10.1016/j.ejrh.2015.08.004.","productDescription":"19 p.","startPage":"516","endPage":"534","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052345","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471830,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2015.08.004","text":"Publisher Index Page"},{"id":318770,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Barbara Channel","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.69305419921874,\n 33.831638461142866\n ],\n [\n -120.69305419921874,\n 34.69194468425019\n ],\n [\n -118.50952148437499,\n 34.69194468425019\n ],\n [\n -118.50952148437499,\n 33.831638461142866\n ],\n [\n -120.69305419921874,\n 33.831638461142866\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","issue":"Part B","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56e2a8cce4b0f59b85d391b0","contributors":{"authors":[{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":146720,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan A.","email":"jwarrick@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":622424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Melack, John M.","contributorId":167466,"corporation":false,"usgs":false,"family":"Melack","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":24713,"text":"Bren School of Environmental Science and Management, University of California, Santa Barbara, California, USA","active":true,"usgs":false}],"preferred":false,"id":622425,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goodridge, Blair M.","contributorId":167467,"corporation":false,"usgs":false,"family":"Goodridge","given":"Blair","email":"","middleInitial":"M.","affiliations":[{"id":24713,"text":"Bren School of Environmental Science and Management, University of California, Santa Barbara, California, USA","active":true,"usgs":false}],"preferred":false,"id":622426,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70159505,"text":"70159505 - 2015 - High mercury wet deposition at a “clean Air” site in Puerto Rico","interactions":[],"lastModifiedDate":"2018-08-09T12:55:22","indexId":"70159505","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","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":"High mercury wet deposition at a “clean Air” site in Puerto Rico","docAbstract":"Atmospheric mercury deposition measurements are rare in tropical latitudes. Here we report on seven years (April 2005 to April 2012, with gaps) of wet Hg deposition measurements at a tropical wet forest in the Luquillo Mountains, northeastern Puerto Rico, U.S. Despite receiving unpolluted air off the Atlantic Ocean from northeasterly trade winds, during two complete years the site averaged 27.9 μg m–2 yr–1 wet Hg deposition, or about 30% more than Florida and the Gulf Coast, the highest deposition areas within the U.S. These high Hg deposition rates are driven in part by high rainfall, which averaged 2855 mm yr–1. The volume-weighted mean Hg concentration was 9.8 ng L–1, and was highest during summer and lowest during the winter dry season. Rainout of Hg (decreasing concentration with increasing rainfall depth) was minimal. The high Hg deposition was not supported by gaseous oxidized mercury (GOM) at ground level, which remained near global background concentrations (<10 pg m–3). Rather, a strong positive correlation between Hg concentrations and the maximum height of rain detected within clouds (echo tops) suggests that droplets in high convective cloud tops scavenge GOM from above the mixing layer. The high wet Hg deposition at this “clean air” site suggests that other tropical areas may be hotspots for Hg deposition as well.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.5b02430","usgsCitation":"Shanley, J.B., Engle, M.A., Scholl, M.A., Krabbenhoft, D.P., Brunette, R., Olson, M.L., and Conroy, M.E., 2015, High mercury wet deposition at a “clean Air” site in Puerto Rico: Environmental Science & Technology, v. 49, no. 20, p. 12474-12482, https://doi.org/10.1021/acs.est.5b02430.","productDescription":"9 p.","startPage":"12474","endPage":"12482","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-024204","costCenters":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":311645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","otherGeospatial":"Luquillo Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -65.86990356445312,\n 18.236525215453405\n ],\n [\n -65.86990356445312,\n 18.35452552912664\n ],\n [\n -65.69892883300781,\n 18.35452552912664\n ],\n [\n -65.69892883300781,\n 18.236525215453405\n ],\n [\n -65.86990356445312,\n 18.236525215453405\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"49","issue":"20","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-29","publicationStatus":"PW","scienceBaseUri":"565446c4e4b071e7ea53d4ca","chorus":{"doi":"10.1021/acs.est.5b02430","url":"http://dx.doi.org/10.1021/acs.est.5b02430","publisher":"American Chemical Society (ACS)","authors":"Shanley James B., Engle Mark A., Scholl Martha, Krabbenhoft David P., Brunette Robert, Olson Mark L., Conroy Mary E.","journalName":"Environmental Science & Technology","publicationDate":"10/20/2015"},"contributors":{"authors":[{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","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":579289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engle, Mark A. 0000-0001-5258-7374 engle@usgs.gov","orcid":"https://orcid.org/0000-0001-5258-7374","contributorId":584,"corporation":false,"usgs":true,"family":"Engle","given":"Mark","email":"engle@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":579288,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scholl, Martha A. 0000-0001-6994-4614 mascholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6994-4614","contributorId":1920,"corporation":false,"usgs":true,"family":"Scholl","given":"Martha","email":"mascholl@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - 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2015 - Global patterns and environmental controls of perchlorate and nitrate co-occurrence in arid and semi-arid environments","interactions":[],"lastModifiedDate":"2018-09-04T16:28:10","indexId":"70187117","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Global patterns and environmental controls of perchlorate and nitrate co-occurrence in arid and semi-arid environments","docAbstract":"Natural perchlorate (ClO4−) is of increasing interest due to its wide-spread occurrence on Earth and Mars, yet little information exists on the relative abundance of ClO4− compared to other major anions, its stability, or long-term variations in production that may impact the observed distributions. Our objectives were to evaluate the occurrence and fate of ClO4− in groundwater and soils/caliche in arid and semi-arid environments (southwestern United States, southern Africa, United Arab Emirates, China, Antarctica, and Chile) and the relationship of ClO4− to the more well-studied atmospherically deposited anions NO3−and Cl− as a means to understand the prevalent processes that affect the accumulation of these species over various time scales. ClO4− is globally distributed in soil and groundwater in arid and semi-arid regions on Earth at concentrations ranging from 10−1to 106 μg/kg. Generally, the ClO4− concentration in these regions increases with aridity index, but also depends on the duration of arid conditions. In many arid and semi-arid areas, NO3− and ClO4− co-occur at molar ratios (NO3−/ClO4−) that vary between ∼104and 105. We hypothesize that atmospheric deposition ratios are largely preserved in hyper-arid areas that support little or no biological activity (e.g. plants or bacteria), but can be altered in areas with more active biological processes including N2 fixation, N mineralization, nitrification, denitrification, and microbial ClO4− reduction, as indicated in part by NO3− isotope data. In contrast, much larger ranges of Cl−/ClO4− and Cl−/NO3−ratios indicate Cl− varies independently from both ClO4− and NO3−. The general lack of correlation between Cl− and ClO4− or NO3− implies that Cl− is not a good indicator of co-deposition and should be used with care when interpreting oxyanion cycling in arid systems. The Atacama Desert appears to be unique compared to all other terrestrial locations having a NO3−/ClO4− molar ratio ∼103. The relative enrichment in ClO4−compared to Cl− or NO3− and unique isotopic composition of Atacama ClO4− may reflect either additional in-situ production mechanism(s) or higher relative atmospheric production rates in that specific region or in the geological past. Elevated concentrations of ClO4− reported on the surface of Mars, and its enrichment with respect to Cl− and NO3−, could reveal important clues regarding the climatic, hydrologic, and potentially biologic evolution of that planet. Given the highly conserved ratio of NO3−/ClO4− in non-biologically active areas on Earth, it may be possible to use alterations of this ratio as a biomarker on Mars and for interpreting major anion cycles and processes on both Mars and Earth, particularly with respect to the less-conserved NO3− pool terrestrially.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2015.05.016","usgsCitation":"Jackson, W., Bohlke, J., Andraski, B.J., Fahlquist, L.S., Bexfield, L.M., Eckardt, F.D., Gates, J.B., Davila, A.F., McKay, C.P., Rao, B., Sevanthi, R., Rajagopalan, S., Estrada, N., Sturchio, N.C., Hatzinger, P.B., Anderson, T.A., Orris, G.J., Betancourt, J.L., Stonestrom, D.A., Latorre, C., Li, Y., and Harvey, G.J., 2015, Global patterns and environmental controls of perchlorate and nitrate co-occurrence in arid and semi-arid environments: Geochimica et Cosmochimica Acta, v. 164, p. 502-522, https://doi.org/10.1016/j.gca.2015.05.016.","productDescription":"21 p.","startPage":"502","endPage":"522","ipdsId":"IP-065217","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology 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Breaching was initiated by cutting a notch across the dam crest and allowing water escaping from a finite upstream reservoir to form its own channel. The channel developed a stepped profile, and upstream migration of the steps, which coalesced into a headcut, led to the establishment of hydraulic control (critical flow) at the channel head, or breach crest, an arcuate erosional feature that functions hydraulically as a weir. Novel photogrammetric methods, along with underwater videography, revealed that the retreating headcut maintained a slope near the angle of friction of the sand, while the cross section at the breach crest maintained a geometrically similar shape through time. That cross-sectional shape was nearly unaffected by slope failures, contrary to the assumption in many models of dam breaching. Flood hydrographs were quite reproducible--for sets of dams ranging in height from 0.55 m to 0.98 m--when the time datum was chosen as the time that the migrating headcut intersected the breach crest. Peak discharge increased almost linearly as a function of initial dam height. Early-time variability between flood hydrographs for nominally identical dams is probably a reflection of subtle experiment-to-experiment differences in groundwater hydrology and the interaction between surface water and groundwater.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014WR016620","usgsCitation":"Walder, J.S., Iverson, R.M., Godt, J.W., Logan, M., and Solovitz, S.A., 2015, Controls on the breach geometry and flood hydrograph during overtopping of non-cohesive earthen dams: Water Resources Research, v. 51, no. 8, p. 6701-6724, https://doi.org/10.1002/2014WR016620.","productDescription":"24 p.","startPage":"6701","endPage":"6724","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060938","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":308321,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-30","publicationStatus":"PW","scienceBaseUri":"56012a3ce4b03bc34f5443f3","chorus":{"doi":"10.1002/2014wr016620","url":"http://dx.doi.org/10.1002/2014wr016620","publisher":"Wiley-Blackwell","authors":"Walder Joseph S., Iverson Richard M., Godt Jonathan W., Logan Matthew, Solovitz Stephen A.","journalName":"Water Resources Research","publicationDate":"8/2015","auditedOn":"10/1/2015"},"contributors":{"authors":[{"text":"Walder, Joseph S. jswalder@usgs.gov","contributorId":2046,"corporation":false,"usgs":true,"family":"Walder","given":"Joseph","email":"jswalder@usgs.gov","middleInitial":"S.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":572808,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iverson, Richard M. 0000-0002-7369-3819 riverson@usgs.gov","orcid":"https://orcid.org/0000-0002-7369-3819","contributorId":536,"corporation":false,"usgs":true,"family":"Iverson","given":"Richard","email":"riverson@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":572809,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":572810,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Logan, Matthew 0000-0002-3558-2405 mlogan@usgs.gov","orcid":"https://orcid.org/0000-0002-3558-2405","contributorId":638,"corporation":false,"usgs":true,"family":"Logan","given":"Matthew","email":"mlogan@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":572811,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Solovitz, Stephen A.","contributorId":21434,"corporation":false,"usgs":true,"family":"Solovitz","given":"Stephen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":572812,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70148363,"text":"70148363 - 2015 - Predicting watershed post-fire sediment yield with the InVEST sediment retention model: Accuracy and uncertainties","interactions":[],"lastModifiedDate":"2022-02-07T18:09:46.569795","indexId":"70148363","displayToPublicDate":"2015-08-29T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Predicting watershed post-fire sediment yield with the InVEST sediment retention model: Accuracy and uncertainties","docAbstract":"Increased sedimentation following wildland fire can negatively impact water supply and water quality. Understanding how changing fire frequency, extent, and location will affect watersheds and the ecosystem services they supply to communities is of great societal importance in the western USA and throughout the world. In this work we assess the utility of the InVEST (Integrated Valuation of Ecosystem Services and Tradeoffs) Sediment Retention Model to accurately characterize erosion and sedimentation of burned watersheds. InVEST was developed by the Natural Capital Project at Stanford University (Tallis et al., 2014) and is a suite of GIS-based implementations of common process models, engineered for high-end computing to allow the faster simulation of larger landscapes and incorporation into decision-making. The InVEST Sediment Retention Model is based on common soil erosion models (e.g., USLE – Universal Soil Loss Equation) and determines which areas of the landscape contribute the greatest sediment loads to a hydrological network and conversely evaluate the ecosystem service of sediment retention on a watershed basis. In this study, we evaluate the accuracy and uncertainties for InVEST predictions of increased sedimentation after fire, using measured postfire sediment yields available for many watersheds throughout the western USA from an existing, published large database. We show that the model can be parameterized in a relatively simple fashion to predict post-fire sediment yield with accuracy. Our ultimate goal is to use the model to accurately predict variability in post-fire sediment yield at a watershed scale as a function of future wildfire conditions.
","conferenceTitle":"3rd Joint Federal Interagency Conference","conferenceDate":"April 19-23, 2015","conferenceLocation":"Reno, NV","language":"English","publisher":"Joint Federal Interagency Conference","usgsCitation":"Sankey, J.B., McVay, J., Kreitler, J.R., Hawbaker, T., Vaillant, N., and Lowe, S., 2015, Predicting watershed post-fire sediment yield with the InVEST sediment retention model: Accuracy and uncertainties, 3rd Joint Federal Interagency Conference, Reno, NV, April 19-23, 2015, p. 987-998.","productDescription":"12 p.","startPage":"987","endPage":"998","ipdsId":"IP-061071","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":342116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":395555,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://acwi.gov/sos/pubs/3rdJFIC/Proceedings.pdf","linkFileType":{"id":1,"text":"pdf"}}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59366daae4b0f6c2d0d7d630","contributors":{"authors":[{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":547853,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McVay, Jason","contributorId":274867,"corporation":false,"usgs":false,"family":"McVay","given":"Jason","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":547854,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kreitler, Jason R. 0000-0002-0243-5281 jkreitler@usgs.gov","orcid":"https://orcid.org/0000-0002-0243-5281","contributorId":4050,"corporation":false,"usgs":true,"family":"Kreitler","given":"Jason","email":"jkreitler@usgs.gov","middleInitial":"R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":547855,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":568,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":547856,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vaillant, Nicole","contributorId":140987,"corporation":false,"usgs":false,"family":"Vaillant","given":"Nicole","affiliations":[{"id":13638,"text":"Western Wildland environmental threat assessment Center","active":true,"usgs":false}],"preferred":false,"id":547857,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lowe, Scott bslowe@usgs.gov","contributorId":3299,"corporation":false,"usgs":true,"family":"Lowe","given":"Scott","email":"bslowe@usgs.gov","affiliations":[],"preferred":true,"id":547858,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70155005,"text":"70155005 - 2015 - Automated extraction of natural drainage density patterns for the conterminous United States through high performance computing","interactions":[],"lastModifiedDate":"2018-08-13T09:50:40","indexId":"70155005","displayToPublicDate":"2015-08-28T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Automated extraction of natural drainage density patterns for the conterminous United States through high performance computing","docAbstract":"Hydrographic networks form an important data foundation for cartographic base mapping and for hydrologic analysis. Drainage density patterns for these networks can be derived to characterize local landscape, bedrock and climate conditions, and further inform hydrologic and geomorphological analysis by indicating areas where too few headwater channels have been extracted. But natural drainage density patterns are not consistently available in existing hydrographic data for the United States because compilation and capture criteria historically varied, along with climate, during the period of data collection over the various terrain types throughout the country. This paper demonstrates an automated workflow that is being tested in a high-performance computing environment by the U.S. Geological Survey (USGS) to map natural drainage density patterns at the 1:24,000-scale (24K) for the conterminous United States. Hydrographic network drainage patterns may be extracted from elevation data to guide corrections for existing hydrographic network data. The paper describes three stages in this workflow including data pre-processing, natural channel extraction, and generation of drainage density patterns from extracted channels. The workflow is concurrently implemented by executing procedures on multiple subbasin watersheds within the U.S. National Hydrography Dataset (NHD). Pre-processing defines parameters that are needed for the extraction process. Extraction proceeds in standard fashion: filling sinks, developing flow direction and weighted flow accumulation rasters. Drainage channels with assigned Strahler stream order are extracted within a subbasin and simplified. Drainage density patterns are then estimated with 100-meter resolution and subsequently smoothed with a low-pass filter. The extraction process is found to be of better quality in higher slope terrains. Concurrent processing through the high performance computing environment is shown to facilitate and refine the choice of drainage density extraction parameters and more readily improve extraction procedures than conventional processing.
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Synthesis","active":true,"usgs":true}],"preferred":true,"id":564555,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buttenfield, Barbara P.","contributorId":145538,"corporation":false,"usgs":false,"family":"Buttenfield","given":"Barbara P.","affiliations":[{"id":16144,"text":"University of Colorado-Boulder","active":true,"usgs":false}],"preferred":false,"id":564556,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70155119,"text":"sir20155101 - 2015 - Flood-inundation maps for Grand River, Red Cedar River, and Sycamore Creek near Lansing, Michigan","interactions":[],"lastModifiedDate":"2016-02-04T08:54:30","indexId":"sir20155101","displayToPublicDate":"2015-08-26T09:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5101","title":"Flood-inundation maps for Grand River, Red Cedar River, and Sycamore Creek near Lansing, Michigan","docAbstract":"Digital flood-inundation maps for a total of 19.7 miles of the Grand River, the Red Cedar River, and Sycamore Creek were created by the U.S. Geological Survey (USGS) in cooperation with the City of Lansing, Michigan, and the U.S. Army Corps of Engineers. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, show estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at three USGS streamgages: Grand River at Lansing, MI (04113000), Red Cedar River at East Lansing, MI (04112500), and Sycamore Creek at Holt Road near Holt, MI (04112850). Near-real-time stages at these streamgages can be obtained on the Internet from the USGS National Water Information System at http://waterdata.usgs.gov/ or the National Weather Service (NWS) Advanced Hydrologic Prediction Service at http:/water.weather.gov/ahps/, which also forecasts flood hydrographs at all of these sites.
\nEach set of flood profiles was computed by means of a one-dimensional step-backwater model. Each model was calibrated to the current stage-discharge relation at each streamgage and to water levels determined with stage sensors (pressure transducers) temporarily deployed along each stream reach. The hydraulic model was used to compute a set of water-surface profiles for flood stages from nearly Action Stage to above Major Flood stage, as reported by the National Weather Service. The computed water-surface profiles were then used in combination with a Geographic Information System digital elevation model derived from light detection and ranging (lidar) data to delineate the approximate areas flooded at each water level.
\nThese maps, used in conjunction with real-time USGS streamgage data and NWS forecasting, provide critical information to emergency management personnel and the public. This information is used to plan flood response actions, such as evacuations and road closures, as well as aid in postflood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155101","collaboration":"Prepared in cooperation with the City of Lansing; Michigan, and U.S. Army Corps of Engineers","usgsCitation":"Whitehead, M.T., and Ostheimer, C.J., 2015, Flood-inundation maps for Grand River, Red Cedar River, and Sycamore Creek near Lansing, Michigan (ver. 1.1, February 2016: U.S. Geological Survey Scientific Investigations Report 2015–5101, 19 p.,\nhttps://dx.doi.org/10.3133/sir20155101.","productDescription":"Report: v, 19 p.; Downloads Directory","startPage":"1","endPage":"19","numberOfPages":"29","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-064143","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":316374,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2015/5101/versionHist.txt","size":"1 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2015-5101"},{"id":307510,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2015/5101/downloads/sir20155101_lansing-mi-report-downloads.zip","text":"Downloads Directory","size":"1.15 GB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2015-5101","linkHelpText":"Grids, Shapefiles, Metadata, and Ancillary Information"},{"id":307357,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5101/sir20155101.pdf","text":"Report","size":"1.20 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5101"},{"id":307504,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5101/coverthbr.jpg"}],"country":"United States","state":"Michigan","county":"Eaton County, Ingham County","city":"Lansing","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.87556457519531,\n 42.487795634680005\n ],\n [\n -84.87556457519531,\n 42.86589941517495\n ],\n [\n -84.39834594726562,\n 42.86589941517495\n ],\n [\n -84.39834594726562,\n 42.487795634680005\n ],\n [\n -84.87556457519531,\n 42.487795634680005\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Originally posted August 26, 2015; Version 1.1: February 2, 2016","contact":"Director, Michigan-Ohio Water Science Center
U.S. Geological Survey
6480 Doubletree Ave
Columbus, OH 43229–1111
http://oh.water.usgs.gov/
Prevailing theory suggests that stream temperature warms asymptotically in a downstream direction, beginning at the temperature of the source in the headwaters and leveling off downstream as it converges to match meteorological conditions. However, there have been few empirical examples of longitudinal patterns of temperature in large rivers due to a paucity of data. We constructed longitudinal thermal profiles (temperature versus distance) for 53 rivers in the Pacific Northwest (USA) using an extensive dataset of remotely sensed summertime river temperatures and classified each profile into one of five patterns of downstream warming: asymptotic (increasing then flattening), linear (increasing steadily), uniform (not changing), parabolic (increasing then decreasing), or complex (not fitting other classes). We evaluated (1) how frequently profiles warmed asymptotically downstream as expected, and (2) whether relationships between river temperature and common hydroclimatic variables differed by profile class. We found considerable diversity in profile shape, with 47% of rivers warming asymptotically, and 53% having alternative profile shapes. Water temperature did not warm substantially over the course of the river for coastal parabolic and uniform profiles, and for some linear and complex profiles. Profile classes showed no clear geographical trends. The degree of correlation between river temperature and hydroclimatic variables differed among profile classes, but there was overlap among classes. Water temperature in rivers with asymptotic or parabolic profiles was positively correlated with August air temperature, tributary temperature and velocity, and negatively correlated with elevation, August precipitation, gradient, and distance upstream. Conversely, associations were less apparent in rivers with linear, uniform, or complex profiles. Factors contributing to the unique shape of parabolic profiles differed for coastal and inland rivers, where downstream cooling was influenced locally by climate or cool water inputs, respectively. Potential drivers of shape for complex profiles were specific to each river. These thermal patterns indicate diverse thermal habitats that may promote resilience of aquatic biota to climate change. Without this spatial context, climate change models may incorrectly estimate loss of thermally suitable habitat.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.10506","usgsCitation":"Fullerton, A.H., Torgersen, C.E., Lawler, J.J., Faux, R.N., Steel, E.A., Beechie, T.J., Ebersole, J.L., and Leibowitz, S.J., 2015, Rethinking the longitudinal stream temperature paradigm: region-wide comparison of thermal infrared imagery reveals unexpected complexity of river temperatures: Hydrological Processes, v. 29, no. 22, p. 4719-4737, https://doi.org/10.1002/hyp.10506.","productDescription":"19 p.","startPage":"4719","endPage":"4737","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1994-07-01","temporalEnd":"2007-08-31","ipdsId":"IP-055750","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":307413,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Idaho, Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.04858398437499,\n 49.009050809382046\n ],\n [\n -123.321533203125,\n 49.023461463214126\n ],\n [\n -123.211669921875,\n 48.22467264956519\n ],\n [\n -124.771728515625,\n 48.42920055556841\n ],\n [\n -124.71679687499999,\n 47.87214396888731\n ],\n [\n -124.024658203125,\n 45.85941212790755\n ],\n [\n -124.244384765625,\n 43.79488907226601\n ],\n [\n -124.661865234375,\n 42.90011265525328\n ],\n [\n -124.112548828125,\n 41.43449030894922\n ],\n [\n -124.508056640625,\n 40.38839687388361\n ],\n [\n -123.85986328124999,\n 39.740986355883564\n ],\n [\n -123.82690429687499,\n 38.882481197550774\n ],\n [\n -123.035888671875,\n 38.18638677411551\n ],\n [\n -118.78967285156249,\n 38.156156969924915\n ],\n [\n -119.99267578124999,\n 38.993572058209466\n ],\n [\n -119.9981689453125,\n 41.99624282178583\n ],\n [\n -111.0443115234375,\n 42.00848901572399\n ],\n [\n -111.04774475097656,\n 44.47446108518852\n ],\n [\n -116.04858398437499,\n 49.009050809382046\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","issue":"22","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-14","publicationStatus":"PW","scienceBaseUri":"55dd83a5e4b0518e354dc717","contributors":{"authors":[{"text":"Fullerton, Aimee H.","contributorId":146936,"corporation":false,"usgs":false,"family":"Fullerton","given":"Aimee","email":"","middleInitial":"H.","affiliations":[{"id":12641,"text":"NOAA NMFS","active":true,"usgs":false}],"preferred":false,"id":569469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torgersen, Christian E. 0000-0001-8325-2737 ctorgersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":146935,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian","email":"ctorgersen@usgs.gov","middleInitial":"E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":569468,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawler, Joshua J.","contributorId":73327,"corporation":false,"usgs":false,"family":"Lawler","given":"Joshua","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":569470,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Faux, Russell N.","contributorId":146937,"corporation":false,"usgs":false,"family":"Faux","given":"Russell","email":"","middleInitial":"N.","affiliations":[{"id":16760,"text":"Watershed Sciences, Inc.","active":true,"usgs":false}],"preferred":false,"id":569471,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Steel, E. Ashley","contributorId":7589,"corporation":false,"usgs":false,"family":"Steel","given":"E.","email":"","middleInitial":"Ashley","affiliations":[],"preferred":false,"id":569472,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beechie, Timothy J.","contributorId":139468,"corporation":false,"usgs":false,"family":"Beechie","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":6578,"text":"National Marine Fisheries Service, Seattle, WA 98112, USA","active":true,"usgs":false}],"preferred":false,"id":569473,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ebersole, Joseph L.","contributorId":146938,"corporation":false,"usgs":false,"family":"Ebersole","given":"Joseph","email":"","middleInitial":"L.","affiliations":[{"id":12657,"text":"EPA NEIC","active":true,"usgs":false}],"preferred":false,"id":569474,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Leibowitz, Scott J.","contributorId":146939,"corporation":false,"usgs":false,"family":"Leibowitz","given":"Scott","email":"","middleInitial":"J.","affiliations":[{"id":12657,"text":"EPA NEIC","active":true,"usgs":false}],"preferred":false,"id":569475,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70156694,"text":"70156694 - 2015 - Effects of changing climate on aquatic habitat and connectivity for remnant populations of a wide-ranging frog species in an arid landscape","interactions":[],"lastModifiedDate":"2017-11-22T17:49:36","indexId":"70156694","displayToPublicDate":"2015-08-25T12:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Effects of changing climate on aquatic habitat and connectivity for remnant populations of a wide-ranging frog species in an arid landscape","docAbstract":"Amphibian species persisting in isolated streams and wetlands in desert environments can be susceptible to low connectivity, genetic isolation, and climate changes. We evaluated the past (1900–1930), recent (1981–2010), and future (2071–2100) climate suitability of the arid Great Basin (USA) for the Columbia spotted frog (Rana luteiventris) and assessed whether changes in surface water may affect connectivity for remaining populations. We developed a predictive model of current climate suitability and used it to predict the historic and future distribution of suitable climates. We then modeled changes in surface water availability at each time period. Finally, we quantified connectivity among existing populations on the basis of hydrology and correlated it with interpopulation genetic distance. We found that the area of the Great Basin with suitable climate conditions has declined by approximately 49% over the last century and will likely continue to decline under future climate scenarios. Climate conditions at currently occupied locations have been relatively stable over the last century, which may explain persistence at these sites. However, future climates at these currently occupied locations are predicted to become warmer throughout the year and drier during the frog's activity period (May – September). Fall and winter precipitation may increase, but as rain instead of snow. Earlier runoff and lower summer base flows may reduce connectivity between neighboring populations, which is already limited. Many of these changes could have negative effects on remaining populations over the next 50–80 years, but milder winters, longer growing seasons, and wetter falls might positively affect survival and dispersal. Collectively, however, seasonal shifts in temperature, precipitation, and stream flow patterns could reduce habitat suitability and connectivity for frogs and possibly other aquatic species inhabiting streams in this arid region.
","language":"English","publisher":"Blackwell Pub. Ltd.","publisherLocation":"Oxford","doi":"10.1002/ece3.1634","usgsCitation":"Pilliod, D., Arkle, R., Robertson, J.M., Murphy, M., and Funk, W.C., 2015, Effects of changing climate on aquatic habitat and connectivity for remnant populations of a wide-ranging frog species in an arid landscape: Ecology and Evolution, v. 5, no. 18, p. 3979-3994, https://doi.org/10.1002/ece3.1634.","productDescription":"16 p.","startPage":"3979","endPage":"3994","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059837","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":471861,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.1634","text":"Publisher Index Page"},{"id":307534,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"18","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-26","publicationStatus":"PW","scienceBaseUri":"55dee32fe4b0518e354e080b","chorus":{"doi":"10.1002/ece3.1634","url":"http://dx.doi.org/10.1002/ece3.1634","publisher":"Wiley-Blackwell","authors":"Pilliod David S., Arkle Robert S., Robertson Jeanne M., Murphy Melanie A., Funk W. Chris","journalName":"Ecology and Evolution","publicationDate":"8/26/2015","auditedOn":"10/2/2015"},"contributors":{"authors":[{"text":"Pilliod, David S. 0000-0003-4207-3518 dpilliod@usgs.gov","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":147050,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","email":"dpilliod@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":570105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arkle, Robert S. 0000-0003-3021-1389 rarkle@usgs.gov","orcid":"https://orcid.org/0000-0003-3021-1389","contributorId":147051,"corporation":false,"usgs":true,"family":"Arkle","given":"Robert S.","email":"rarkle@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":570106,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robertson, Jeanne M.","contributorId":147052,"corporation":false,"usgs":false,"family":"Robertson","given":"Jeanne","email":"","middleInitial":"M.","affiliations":[{"id":16778,"text":"Biology Department, California State University Northbridge","active":true,"usgs":false}],"preferred":false,"id":570107,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murphy, Melanie","contributorId":88239,"corporation":false,"usgs":true,"family":"Murphy","given":"Melanie","affiliations":[],"preferred":false,"id":570109,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Funk, W. Chris 0000-0002-9254-6718","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":97589,"corporation":false,"usgs":false,"family":"Funk","given":"W.","email":"","middleInitial":"Chris","affiliations":[{"id":6998,"text":"Department of Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":570108,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}