Recruitment is a key factor influencing duck population dynamics. Understanding what regulates recruitment of ducks is a prerequisite to informed habitat and harvest management. Quantity of May ponds (MP) has been linked to recruitment and population size (Kaminski and Gluesing 1987, Raveling and Heitmeyer 1989). However, wetland productivity (quality) is driven by inter-annual hydrological fluctuations. Periodic drying of wetlands due to wet-dry climate cycles releases nutrients and increases invertebrate populations when wet conditions return (Euliss et al. 1999). Wetlands may also become wet or dry within a breeding season. Accordingly, inter-annual and intra-seasonal hydrologic variation potentially influence duck recruitment. Here, we examined influences of wetland quantity, quality, and intra-seasonal dynamics on recruitment of ducks. We indexed duck recruitment by vulnerability-corrected age ratios (juveniles/adult females) for mid-continent Gadwall (Anas strepera). We chose Gadwall because the majority of the continental population breeds in the Prairie Pothole Region (PPR), where annual estimates of MP exist since 1974. We indexed wetland quality by calculating change in MP (?MP) over the past two years (?MP = 0.6[MPt – MPt-1] + 0.4[MPt – MPt-2]). We indexed intra-seasonal change in number of ponds by dividing the PPR mean standardized precipitation index for July by MP (hereafter summer index). MP and ?MP were positively correlated (r = 0.65); therefore, we calculated residual ?MP (?MPr) with a simple linear regression using MP, creating orthogonal variables. Finally, we conducted a multiple regression to examine how MP, ?MPr, and summer index explained variation in recruitment of Gadwall from 1976–2010. Our model explained 67% of the variation in mid-continent Gadwall recruitment and all three hydrologic indices were positively correlated with recruitment (Figure 1). Type II semi-partial R2 estimates indicated that MP accounted for 41%, ?MPr accounted for an additional 22%, and summer index accounted for the remaining 4% of the variation in recruitment. Our results are consistent with previous findings that quantity of MP was important for explaining variation in recruitment of ducks. However, our results also indicated that considering hydrologic dynamics was important for explaining recruitment. Additionally, the index for retention of MP within breeding year also was important, despite its coarse resolution as an average of precipitation events that can vary greatly spatially and in intensity within the PPR. Our results support the idea that wetland ecosystems in the PPR are ultimately regulated through bottom-up process driven by inter- and intra-annual hydrological dynamics. However from the ducks' perspective, hydrological dynamics could influence recruitment proximately through both bottom-up and top-down processes. Specifically, hydrological fluctuations may influence predator populations, prey switching by predators, or duckling vulnerability to predators (Cox et al. 1998). We will propose a conceptual model for understanding the potential role of bottom-up and top-down regulation of duck recruitment based on different hydrological contexts. Clearly, a better understanding of ultimate and proximate factors regulating duck recruitment would improve the effectiveness and efficiency of habitat conservation for ducks. Lastly, our findings could be used to improve models that predict fall flights for the purposes of informing harvest regulations.
","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings of North American Duck Symposium and Workshop","conferenceTitle":"North American Duck Symposium and Workshop","conferenceDate":"January 27-31, 2013","conferenceLocation":"Memphis, TN","language":"English","publisher":"North American Duck Symposium and Workshop","usgsCitation":"Anteau, M.J., Pearse, A.T., and Szymankski, M.L., 2013, Wetland dynamics influence mid-continent duck recruitment, in Proceedings of North American Duck Symposium and Workshop, Memphis, TN, January 27-31, 2013, 2 p.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038992","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":324310,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576d083ae4b07657d1a3759a","contributors":{"authors":[{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":640577,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearse, Aaron T. 0000-0002-6137-1556 apearse@usgs.gov","orcid":"https://orcid.org/0000-0002-6137-1556","contributorId":1772,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron","email":"apearse@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":640578,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Szymankski, Michael L.","contributorId":117689,"corporation":false,"usgs":true,"family":"Szymankski","given":"Michael","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":516496,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70043042,"text":"ofr20131011 - 2013 - Digital data from the Great Sand Dunes airborne gravity gradient survey, south-central Colorado","interactions":[],"lastModifiedDate":"2013-01-31T15:23:16","indexId":"ofr20131011","displayToPublicDate":"2013-01-31T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1011","title":"Digital data from the Great Sand Dunes airborne gravity gradient survey, south-central Colorado","docAbstract":"This report contains digital data and supporting explanatory files describing data types, data formats, and survey procedures for a high-resolution airborne gravity gradient (AGG) survey at Great Sand Dunes National Park, Alamosa and Saguache Counties, south-central Colorado. In the San Luis Valley, the Great Sand Dunes survey covers a large part of Great Sand Dunes National Park and Preserve. The data described were collected from a high-resolution AGG survey flown in February 2012, by Fugro Airborne Surveys Corp., on contract to the U.S. Geological Survey. Scientific objectives of the AGG survey are to investigate the subsurface structural framework that may influence groundwater hydrology and seismic hazards, and to investigate AGG methods and resolution using different flight specifications. Funding was provided by an airborne geophysics training program of the U.S. Department of Defense's Task Force for Business & Stability Operations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131011","usgsCitation":"Drenth, B., Abraham, J., Grauch, V.J., Labson, V., and Hodges, G., 2013, Digital data from the Great Sand Dunes airborne gravity gradient survey, south-central Colorado: U.S. Geological Survey Open-File Report 2013-1011, Report: iii, 5 p.; Appendix; Downloads Directory, https://doi.org/10.3133/ofr20131011.","productDescription":"Report: iii, 5 p.; Appendix; Downloads Directory","numberOfPages":"8","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":266868,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2013_1011.gif"},{"id":266864,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1011/"},{"id":266865,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1011/OF13-1011.pdf"},{"id":266866,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1011/downloads/Appendix.pdf"},{"id":266867,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1011/downloads/"}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.75,37.50 ], [ -105.75,38.00 ], [ -105.30,38.00 ], [ -105.30,37.50 ], [ -105.75,37.50 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"510b925fe4b0947afa3c853b","contributors":{"authors":[{"text":"Drenth, B. J.","contributorId":49885,"corporation":false,"usgs":true,"family":"Drenth","given":"B. J.","affiliations":[],"preferred":false,"id":472827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abraham, J.D.","contributorId":20686,"corporation":false,"usgs":true,"family":"Abraham","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":472825,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grauch, V. J. S. 0000-0002-0761-3489","orcid":"https://orcid.org/0000-0002-0761-3489","contributorId":34125,"corporation":false,"usgs":true,"family":"Grauch","given":"V.","email":"","middleInitial":"J. S.","affiliations":[],"preferred":false,"id":472826,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Labson, V.F.","contributorId":20506,"corporation":false,"usgs":true,"family":"Labson","given":"V.F.","email":"","affiliations":[],"preferred":false,"id":472824,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hodges, G.","contributorId":93354,"corporation":false,"usgs":true,"family":"Hodges","given":"G.","email":"","affiliations":[],"preferred":false,"id":472828,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70189181,"text":"70189181 - 2013 - Evaluating model structure adequacy: The case of the Maggia Valley groundwater system, southern Switzerland","interactions":[],"lastModifiedDate":"2017-07-06T15:03:29","indexId":"70189181","displayToPublicDate":"2013-01-31T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating model structure adequacy: The case of the Maggia Valley groundwater system, southern Switzerland","docAbstract":"Model adequacy is evaluated with alternative models rated using model selection criteria (AICc, BIC, and KIC) and three other statistics. Model selection criteria are tested with cross-validation experiments and insights for using alternative models to evaluate model structural adequacy are provided. The study is conducted using the computer codes UCODE_2005 and MMA (MultiModel Analysis). One recharge alternative is simulated using the TOPKAPI hydrological model. The predictions evaluated include eight heads and three flows located where ecological consequences and model precision are of concern. Cross-validation is used to obtain measures of prediction accuracy. Sixty-four models were designed deterministically and differ in representation of river, recharge, bedrock topography, and hydraulic conductivity. Results include: (1) What may seem like inconsequential choices in model construction may be important to predictions. Analysis of predictions from alternative models is advised. (2) None of the model selection criteria consistently identified models with more accurate predictions. This is a disturbing result that suggests to reconsider the utility of model selection criteria, and/or the cross-validation measures used in this work to measure model accuracy. (3) KIC displayed poor performance for the present regression problems; theoretical considerations suggest that difficulties are associated with wide variations in the sensitivity term of KIC resulting from the models being nonlinear and the problems being ill-posed due to parameter correlations and insensitivity. The other criteria performed somewhat better, and similarly to each other. (4) Quantities with high leverage are more difficult to predict. The results are expected to be generally applicable to models of environmental systems.","language":"English","publisher":"Water Resources Research","doi":"10.1029/2011WR011779","usgsCitation":"Hill, M.C., Foglia, L., Mehl, S.W., and Burlando, P., 2013, Evaluating model structure adequacy: The case of the Maggia Valley groundwater system, southern Switzerland: Water Resources Research, v. 49, no. 1, p. 260-282, https://doi.org/10.1029/2011WR011779.","productDescription":"23 p. ","startPage":"260","endPage":"282","ipdsId":"IP-042379","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":473968,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011wr011779","text":"Publisher Index Page"},{"id":343439,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Switzerland","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 8.460845947265625,\n 46.095138483907725\n ],\n [\n 9.010162353515623,\n 46.095138483907725\n ],\n [\n 9.010162353515623,\n 46.46813299215554\n ],\n [\n 8.460845947265625,\n 46.46813299215554\n ],\n [\n 8.460845947265625,\n 46.095138483907725\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"49","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-01-24","publicationStatus":"PW","scienceBaseUri":"595f4c44e4b0d1f9f057e36e","contributors":{"authors":[{"text":"Hill, Mary C. mchill@usgs.gov","contributorId":974,"corporation":false,"usgs":true,"family":"Hill","given":"Mary","email":"mchill@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foglia, L.","contributorId":194179,"corporation":false,"usgs":false,"family":"Foglia","given":"L.","email":"","affiliations":[],"preferred":false,"id":703385,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mehl, S. W.","contributorId":194181,"corporation":false,"usgs":false,"family":"Mehl","given":"S.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":703387,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Burlando, P.","contributorId":194180,"corporation":false,"usgs":false,"family":"Burlando","given":"P.","email":"","affiliations":[],"preferred":false,"id":703386,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70102982,"text":"70102982 - 2013 - Faulting and groundwater in a desert environment: constraining hydrogeology using time-domain electromagnetic data","interactions":[],"lastModifiedDate":"2014-04-28T13:15:16","indexId":"70102982","displayToPublicDate":"2013-01-28T13:10:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2850,"text":"Near Surface Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Faulting and groundwater in a desert environment: constraining hydrogeology using time-domain electromagnetic data","docAbstract":"Within the south-western Mojave Desert, the Joshua Basin Water District is considering applying imported water into infiltration ponds in the Joshua Tree groundwater sub-basin in an attempt to artificially recharge the underlying aquifer. Scarce subsurface hydrogeological data are available near the proposed recharge site; therefore, time-domain electromagnetic (TDEM) data were collected and analysed to characterize the subsurface. TDEM soundings were acquired to estimate the depth to water on either side of the Pinto Mountain Fault, a major east-west trending strike-slip fault that transects the proposed recharge site. While TDEM is a standard technique for groundwater investigations, special care must be taken when acquiring and interpreting TDEM data in a twodimensional (2D) faulted environment. A subset of the TDEM data consistent with a layered-earth interpretation was identified through a combination of three-dimensional (3D) forward modelling and diffusion time-distance estimates. Inverse modelling indicates an offset in water table elevation of nearly 40 m across the fault. These findings imply that the fault acts as a low-permeability barrier to groundwater flow in the vicinity of the proposed recharge site. Existing production wells on the south side of the fault, together with a thick unsaturated zone and permeable near-surface deposits, suggest the southern half of the study area is suitable for artificial recharge. These results illustrate the effectiveness of targeted TDEM in support of hydrological studies in a heavily faulted desert environment where data are scarce and the cost of obtaining these data by conventional drilling techniques is prohibitive.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Near Surface Geophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"European Association of Geoscientists & Engineers","doi":"10.3997/1873-0604.2013043","usgsCitation":"Bedrosian, P.A., Burgess, M.K., and Nishikawa, T., 2013, Faulting and groundwater in a desert environment: constraining hydrogeology using time-domain electromagnetic data: Near Surface Geophysics, v. 11, no. 5, p. 545-555, https://doi.org/10.3997/1873-0604.2013043.","productDescription":"9 p.","startPage":"545","endPage":"555","ipdsId":"IP-011505","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":286725,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286668,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3997/1873-0604.2013043"}],"volume":"11","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"535f786de4b078dca33ae365","contributors":{"authors":[{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":493090,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burgess, Matthew K. 0000-0002-2828-8910 mburgess@usgs.gov","orcid":"https://orcid.org/0000-0002-2828-8910","contributorId":2115,"corporation":false,"usgs":true,"family":"Burgess","given":"Matthew","email":"mburgess@usgs.gov","middleInitial":"K.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":493092,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nishikawa, Tracy 0000-0002-7348-3838 tnish@usgs.gov","orcid":"https://orcid.org/0000-0002-7348-3838","contributorId":1515,"corporation":false,"usgs":true,"family":"Nishikawa","given":"Tracy","email":"tnish@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493091,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70042894,"text":"sir20125226 - 2013 - Determination of flow losses in the Cape Fear River between B. Everett Jordan Lake and Lillington, North Carolina, 2008-2010","interactions":[],"lastModifiedDate":"2013-01-28T20:02:17","indexId":"sir20125226","displayToPublicDate":"2013-01-28T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5226","title":"Determination of flow losses in the Cape Fear River between B. Everett Jordan Lake and Lillington, North Carolina, 2008-2010","docAbstract":"During 2008-2010, the U.S. Geological Survey conducted a hydrologic investigation in cooperation with the Triangle J Council of Governments Cape Fear River Flow Study Committee and the North Carolina Division of Water Resources to collect hydrologic data in the Cape Fear River between B. Everett Jordan Lake and Lillington in central North Carolina to help determine if suspected flow losses occur in the reach. Flow loss analyses were completed by summing the daily flow releases at Jordan Lake Dam with the daily discharges at Deep River at Moncure and Buckhorn Creek near Corinth, then subtracting these values from the daily discharges at Cape Fear River at Lillington. Examination of long-term records revealed that during 10,227 days of the 1983-2010 water years, 408 days (4.0 percent) had flow loss when conditions were relatively steady with respect to the previous day's records. The flow loss that occurred on these 40 days ranged from 0.49 to 2,150 cubic feet per second with a median flow loss of 37.2 cubic feet per second. The months with the highest number of days with flow losses were June (16. percent), September (16.9 percent), and October (19.4 percent). A series of synoptic discharge measurements made on six separate days in 2009 provided \"snapshots\" of overall flow conditions along the study reach. The largest water diversion is just downstream from the confluence of the Haw and Deep Rivers, and discharges substantially decrease in the main stem downstream from the intake point. Downstream from Buckhorn Dam, minimal gain or loss between the dam and Raven Rock State Park was noted. Analyses of discharge measurements and ratings for two streamgages-one at Deep River at Moncure and the other at Cape Fear River at Lillington-were completed to address the accuracy of the relation between stage and discharge at these sites. The ratings analyses did not indicate a particular time during the 1982-2011 water years in which a consistent bias occurred in the computations of discharge records that would indicate false flow losses. A total of 34 measured discharges at a streamgage on the Haw River below B. Everett Jordan Lake near Moncure were compared with the reported hourly flow releases from Jordan Lake Dam. Because 28 of 34 measurements were within plus or minus 10 percent of the hourly flow releases reported by the U.S Army Corps of Engineers, use of the current discharge computation tables for reporting Jordan Lake Dam flow releases is generally supported. A stage gage was operated on the Cape Fear River at Buckhorn Dam near Corinth to collect continuous stage-only records. Throughout the study period, flow over the dam was observed along its length, and flow loss within the study reach is not attributed to river-level fluctuations at the dam. Water-use information and (or) data were obtained for five industrial facilities, a regional power utility, two municipalities, one small hydropower facility on the Deep River, and one quarry operation also adjacent to the Deep River. The largest water users are the regional power producer, a small hydropower operation, and the two municipalities. The total water-use diversions for these facilities range from almost 25.5 to 38.5 cubic feet per second (39.5 to 59.5 million gallons per day) during the winter and summer periods, respectively. This range is equivalent to 69 to 104 percent of the 37 cubic feet per second median flow loss. The Lockville hydropower station is on the Deep River about 1 mile downstream from the streamgage near Moncure. Run-of-river operations at the facility do not appear to affect flow losses in the study reach. The largest water user in the study area is a regional power producer at a coal-fired power-generation plant located immediately adjacent to the Cape Fear River just downstream from the confluence of the Haw an Deep Rivers. Comparisons of daily water withdrawals, sup-plied by the regional power producer, and discharge records at a streamgage on the diversion canal indicated many days when consumption exceeded the producer's estimates for the cooling towers. Uncertainty surrounding reasonable estimates of consumption remained in effect at the end of the study. Data concerning evaporative losses were compiled using two approaches-an analysis of available pan-evaporation data from a National Weather Service cooperative observer station in Chapel Hill, North Carolina; and a compilation of reference open-water evaporation computed by the State Climate Office of North Carolina. The potential flow loss by evaporation from the main stem and the Deep River was estimated to be in the range of 4 to 14 cubic feet per second during May through October, equivalent to 10 to 38 percent of the 37 cubic feet per second median flow loss. Daily water-use diversions and evaporation losses were compared to flow-loss occurrences during the period April 2008 through September 2010. In comparing the surface-water, water-use, and evaporation data compiled for 2008-2010, it is evident that documented water diversions combined with flow losses by open-water evaporation can exceed the net flow gain in the study area and result in flow losses from the reach. Analysis of data from a streamgage downstream from the regional power plant on the diversion canal adjacent to the Cape Fear River provided insight into the occurrence of an apparent flow loss at the streamgage at Lillington. Assessment of the daily discharges and subsequent hydrographs for the canal streamgage indicated at least 24 instances during the study when the flows suddenly changed by magnitudes of 100 to more that 200 cubic feet per second, resulting in a noted time-lag effect on the downstream discharges at the Lillington streamgage, beginning 8 to 16 hours after the sudden flow change. A fiber-optic distributed temperature-sensing survey was conducted on the Cape Fear River at the Raven Rock State Park reach August 12-14, 2009, to determine if the presence of diabase dikes were preferentially directing groundwater discharge. No temperature anomalies of colder water were measured during the survey, which indicated that at the time of the survey that particular reach of the Cape Fear River was a \"no-flow\" or losing stream. An aerial thermal-infrared survey was conducted on the Haw and Cape Fear Rivers on February 27, 2010, from Jordan Lake Dam to Lillington to qualitatively delineate areas of groundwater discharge on the basis of the contrast between warm groundwater discharge and cold surface-water temperatures. Dis-charge generally was noted as diffuse seepage, but in a few cases springs were detected as inflow at a discrete point of discharge. Two reaches of the Cape Fear River (regional power plant and Bradley Road reaches) were selected for groundwater monitoring with a transect of piezometers installed within the flood plain. Groundwater-level altitudes at these reaches were analyzed for 1 water year (October 1, 2009, to September 30, 2010). Data collected as part of this study represent only a brief period of time and may not represent all conditions and all years; however, the data indicate that, during the dry summer months, the Cape Fear River within the study area is losing an undetermined quantity of water through seepage. Analyses completed during this investigation indicate a study reach with complex flow patterns affected by numerous concurrent factors resulting in flow losses. The causes of flow loss could not be solely attributed to any one factor. Among the factors considered, the occurrences of water diversions and evaporative losses were determined to be sufficient on some days (particularly during the base-flow period) to exceed the net gain in flows between the upstream and downstream ends of the study area. Losses by diversions and evaporation can exceed the median flow loss of 3 cubic feet per second, which indicates that flow loss from the study reach is real. Groundwater data collected during 2009-2010 indicate the possibility of localized flow loss during the summer, particularly in the impounded reach above Buckhorn Dam. However, no indication of unusual patterns was noted that would cause substantial flow loss by groundwater and surface-water interaction at the river bottom.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125226","collaboration":"Prepared in cooperation with the Triangle J Council of Governments Cape Fear River Flow Study Committee and the North Carolina Department of Environment and Natural Resources, Division of Water Resources","usgsCitation":"Weaver, J., and McSwain, K., 2013, Determination of flow losses in the Cape Fear River between B. Everett Jordan Lake and Lillington, North Carolina, 2008-2010: U.S. Geological Survey Scientific Investigations Report 2012-5226, x, 76 p., https://doi.org/10.3133/sir20125226.","productDescription":"x, 76 p.","numberOfPages":"90","onlineOnly":"Y","temporalStart":"2008-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":266624,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5226.gif"},{"id":266620,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5226/"},{"id":266621,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5226/pdf/sir2012-5226_v3.pdf"}],"scale":"100000","country":"United States","state":"North Carolina","city":"Lillington","otherGeospatial":"B. Everett Jordan Lake;Cape Fear River;Shearon Harris Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79.161987,35.417314 ], [ -79.161987,35.612372 ], [ -78.798752,35.612372 ], [ -78.798752,35.417314 ], [ -79.161987,35.417314 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51079deae4b0df796f216e0c","contributors":{"authors":[{"text":"Weaver, J. Curtis","contributorId":42260,"corporation":false,"usgs":true,"family":"Weaver","given":"J. Curtis","affiliations":[],"preferred":false,"id":472522,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McSwain, Kristen Bukowski","contributorId":104458,"corporation":false,"usgs":true,"family":"McSwain","given":"Kristen Bukowski","affiliations":[],"preferred":false,"id":472523,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70042809,"text":"70042809 - 2013 - Prediction, time variance, and classification of hydraulic response to recharge in two karst aquifers","interactions":[],"lastModifiedDate":"2017-10-14T11:21:43","indexId":"70042809","displayToPublicDate":"2013-01-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Prediction, time variance, and classification of hydraulic response to recharge in two karst aquifers","docAbstract":"Many karst aquifers are rapidly filled and depleted and therefore are likely to be susceptible to changes in short-term climate variability. Here we explore methods that could be applied to model site-specific hydraulic responses, with the intent of simulating these responses to different climate scenarios from high-resolution climate models. We compare hydraulic responses (spring flow, groundwater level, stream base flow, and cave drip) at several sites in two karst aquifers: the Edwards aquifer (Texas, USA) and the Madison aquifer (South Dakota, USA). A lumped-parameter model simulates nonlinear soil moisture changes for estimation of recharge, and a time-variant convolution model simulates the aquifer response to this recharge. Model fit to data is 2.4% better for calibration periods than for validation periods according to the Nash–Sutcliffe coefficient of efficiency, which ranges from 0.53 to 0.94 for validation periods. We use metrics that describe the shapes of the impulse-response functions (IRFs) obtained from convolution modeling to make comparisons in the distribution of response times among sites and between aquifers. Time-variant IRFs were applied to 62% of the sites. Principal component analysis (PCA) of metrics describing the shapes of the IRFs indicates three principal components that together account for 84% of the variability in IRF shape: the first is related to IRF skewness and temporal spread and accounts for 51% of the variability; the second and third largely are related to time-variant properties and together account for 33% of the variability. Sites with IRFs that dominantly comprise exponential curves are separated geographically from those dominantly comprising lognormal curves in both aquifers as a result of spatial heterogeneity. The use of multiple IRF metrics in PCA is a novel method to characterize, compare, and classify the way in which different sites and aquifers respond to recharge. As convolution models are developed for additional aquifers, they could contribute to an IRF database and a general classification system for karst aquifers.","language":"English","publisher":"European Geosciences Union","publisherLocation":"Munich, Germany","doi":"10.5194/hess-17-281-2013","usgsCitation":"Long, A.J., and Mahler, B., 2013, Prediction, time variance, and classification of hydraulic response to recharge in two karst aquifers: Hydrology and Earth System Sciences, v. 17, p. 281-294, https://doi.org/10.5194/hess-17-281-2013.","productDescription":"14 p.","startPage":"281","endPage":"294","additionalOnlineFiles":"Y","ipdsId":"IP-039376","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":473970,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-17-281-2013","text":"Publisher Index Page"},{"id":266470,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":266476,"type":{"id":7,"text":"Companion Files"},"url":"https://www.hydrol-earth-syst-sci-discuss.net/9/9577/2012/hessd-9-9577-2012.html"},{"id":266473,"type":{"id":7,"text":"Companion Files"},"url":"https://www.hydrol-earth-syst-sci.net/17/281/2013/hess-17-281-2013-supplement.zip"}],"country":"United States","state":"South Dakota, Texas","otherGeospatial":"Edwards Aquifer, Madison Aquifer","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.5,28.9 ], [ -104.5,44.5 ], [ -97.25,44.5 ], [ -97.25,28.9 ], [ -104.5,28.9 ] ] ] } } ] }","volume":"17","noUsgsAuthors":false,"publicationDate":"2013-01-24","publicationStatus":"PW","scienceBaseUri":"5103a968e4b0ce88de6409b7","contributors":{"authors":[{"text":"Long, Andrew J. 0000-0001-7385-8081 ajlong@usgs.gov","orcid":"https://orcid.org/0000-0001-7385-8081","contributorId":989,"corporation":false,"usgs":true,"family":"Long","given":"Andrew","email":"ajlong@usgs.gov","middleInitial":"J.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472317,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mahler, Barbara 0000-0002-9150-9552 bjmahler@usgs.gov","orcid":"https://orcid.org/0000-0002-9150-9552","contributorId":1249,"corporation":false,"usgs":true,"family":"Mahler","given":"Barbara","email":"bjmahler@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472318,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70042845,"text":"70042845 - 2013 - Hydrogeomorphology influences soil nitrogen and phosphorus mineralization in floodplain wetlands","interactions":[],"lastModifiedDate":"2013-01-25T14:01:30","indexId":"70042845","displayToPublicDate":"2013-01-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Hydrogeomorphology influences soil nitrogen and phosphorus mineralization in floodplain wetlands","docAbstract":"Conceptual models of river–floodplain systems and biogeochemical theory predict that floodplain soil nitrogen (N) and phosphorus (P) mineralization should increase with hydrologic connectivity to the river and thus increase with distance downstream (longitudinal dimension) and in lower geomorphic units within the floodplain (lateral dimension). We measured rates of in situ soil net ammonification, nitrification, N, and P mineralization using monthly incubations of modified resin cores for a year in the forested floodplain wetlands of Difficult Run, a fifth order urban Piedmont river in Virginia, USA. Mineralization rates were then related to potentially controlling ecosystem attributes associated with hydrologic connectivity, soil characteristics, and vegetative inputs. Ammonification and P mineralization were greatest in the wet backswamps, nitrification was greatest in the dry levees, and net N mineralization was greatest in the intermediately wet toe-slopes. Nitrification also was greater in the headwater sites than downstream sites, whereas ammonification was greater in downstream sites. Annual net N mineralization increased with spatial gradients of greater ammonium loading to the soil surface associated with flooding, soil organic and nutrient content, and herbaceous nutrient inputs. Annual net P mineralization was associated negatively with soil pH and coarser soil texture, and positively with ammonium and phosphate loading to the soil surface associated with flooding. Within an intensively sampled low elevation flowpath at one site, sediment deposition during individual incubations stimulated mineralization of N and P. However, the amount of N and P mineralized in soil was substantially less than the amount deposited with sedimentation. In summary, greater inputs of nutrients and water and storage of soil nutrients along gradients of river–floodplain hydrologic connectivity increased floodplain soil nutrient mineralization rates.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecosystems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10021-012-9597-0","issn":"1432-9840","usgsCitation":"Noe, G., Hupp, C.R., and Rybicki, N.B., 2013, Hydrogeomorphology influences soil nitrogen and phosphorus mineralization in floodplain wetlands: Ecosystems, v. 16, no. 1, p. 75-94, https://doi.org/10.1007/s10021-012-9597-0.","productDescription":"20 p.","startPage":"75","endPage":"94","ipdsId":"IP-030280","costCenters":[{"id":146,"text":"Branch of Regional Research-Eastern Region","active":false,"usgs":true}],"links":[{"id":266450,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10021-012-9597-0"},{"id":266455,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":266488,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007%2Fs10021-012-9597-0"}],"country":"United States","state":"Maryl;Virginia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -78.2,38.6 ], [ -78.2,39.7 ], [ -76.3,39.7 ], [ -76.3,38.6 ], [ -78.2,38.6 ] ] ] } } ] }","volume":"16","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-09-25","publicationStatus":"PW","scienceBaseUri":"5103a960e4b0ce88de6409b3","contributors":{"authors":[{"text":"Noe, Gregory B.","contributorId":77805,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory B.","affiliations":[],"preferred":false,"id":472378,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":472377,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rybicki, Nancy B. 0000-0002-2205-7927 nrybicki@usgs.gov","orcid":"https://orcid.org/0000-0002-2205-7927","contributorId":2142,"corporation":false,"usgs":true,"family":"Rybicki","given":"Nancy","email":"nrybicki@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":472376,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70042825,"text":"ofr20131010 - 2013 - Development of a database-driven system for simulating water temperature in the lower Yakima River main stem, Washington, for various climate scenarios","interactions":[],"lastModifiedDate":"2013-01-24T15:54:30","indexId":"ofr20131010","displayToPublicDate":"2013-01-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1010","title":"Development of a database-driven system for simulating water temperature in the lower Yakima River main stem, Washington, for various climate scenarios","docAbstract":"A model for simulating daily maximum and mean water temperatures was developed by linking two existing models: one developed by the U.S. Geological Survey and one developed by the Bureau of Reclamation. The study area included the lower Yakima River main stem between the Roza Dam and West Richland, Washington. To automate execution of the labor-intensive models, a database-driven model automation program was developed to decrease operation costs, to reduce user error, and to provide the capability to perform simulations quickly for multiple management and climate change scenarios. Microsoft© SQL Server 2008 R2 Integration Services packages were developed to (1) integrate climate, flow, and stream geometry data from diverse sources (such as weather stations, a hydrologic model, and field measurements) into a single relational database; (2) programmatically generate heavily formatted model input files; (3) iteratively run water temperature simulations; (4) process simulation results for export to other models; and (5) create a database-driven infrastructure that facilitated experimentation with a variety of scenarios, node permutations, weather data, and hydrologic conditions while minimizing costs of running the model with various model configurations. As a proof-of-concept exercise, water temperatures were simulated for a \"Current Conditions\" scenario, where local weather data from 1980 through 2005 were used as input, and for \"Plus 1\" and \"Plus 2\" climate warming scenarios, where the average annual air temperatures used in the Current Conditions scenario were increased by 1degree Celsius (°C) and by 2°C, respectively. Average monthly mean daily water temperatures simulated for the Current Conditions scenario were compared to measured values at the Bureau of Reclamation Hydromet gage at Kiona, Washington, for 2002-05. Differences ranged between 1.9° and 1.1°C for February, March, May, and June, and were less than 0.8°C for the remaining months of the year. The difference between current conditions and measured monthly values for the two warmest months (July and August) were 0.5°C and 0.2°C, respectively. The model predicted that water temperature generally becomes less sensitive to air temperature increases as the distance from the mouth of the river decreases. As a consequence, the difference between climate warming scenarios also decreased. The pattern of decreasing sensitivity is most pronounced from August to October. Interactive graphing tools were developed to explore the relative sensitivity of average monthly and mean daily water temperature to increases in air temperature for model output locations along the lower Yakima River main stem.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131010","usgsCitation":"Voss, F., and Maule, A., 2013, Development of a database-driven system for simulating water temperature in the lower Yakima River main stem, Washington, for various climate scenarios: U.S. Geological Survey Open-File Report 2013-1010, iv, 20 p., https://doi.org/10.3133/ofr20131010.","productDescription":"iv, 20 p.","numberOfPages":"28","onlineOnly":"Y","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":266437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2013_1010.jpg"},{"id":266435,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1010/"},{"id":266436,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1010/pdf/ofr20131010.pdf"}],"country":"United States","state":"Washington","otherGeospatial":"Yakima River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.67,46.00 ], [ -120.67,47.00 ], [ -119.00,47.00 ], [ -119.00,46.00 ], [ -120.67,46.00 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5102660ee4b0d4f5ea817bcb","contributors":{"authors":[{"text":"Voss, Frank","contributorId":71848,"corporation":false,"usgs":true,"family":"Voss","given":"Frank","affiliations":[],"preferred":false,"id":472340,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maule, Alec","contributorId":50614,"corporation":false,"usgs":true,"family":"Maule","given":"Alec","affiliations":[],"preferred":false,"id":472339,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70207150,"text":"70207150 - 2013 - Impacts of climate, lake size, and supra- and sub-permafrost groundwater flow on lake-talik evolution, Yukon Flats, Alaska (USA)","interactions":[],"lastModifiedDate":"2019-12-09T14:01:35","indexId":"70207150","displayToPublicDate":"2013-01-23T13:52:18","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of climate, lake size, and supra- and sub-permafrost groundwater flow on lake-talik evolution, Yukon Flats, Alaska (USA)","docAbstract":"In cold regions, hydrologic systems possess seasonal and perennial ice-free zones (taliks) within areas of permafrost that control and are enhanced by groundwater flow. Simulation of talik development that follows lake formation in watersheds modeled after those in the Yukon Flats of interior Alaska (USA) provides insight on the coupled interaction between groundwater flow and ice distribution. The SUTRA groundwater simulator with freeze–thaw physics is used to examine the effect of climate, lake size, and lake–groundwater relations on talik formation. Considering a range of these factors, simulated times for a through-going sub-lake talik to form through 90 m of permafrost range from ∼200 to > 1,000 years (vertical thaw rates < 0.1–0.5 m yr−1). Seasonal temperature cycles along lake margins impact supra-permafrost flow and late-stage cryologic processes. Warmer climate accelerates complete permafrost thaw and enhances seasonal flow within the supra-permafrost layer. Prior to open talik formation, sub-lake permafrost thaw is dominated by heat conduction. When hydraulic conditions induce upward or downward flow between the lake and sub-permafrost aquifer, thaw rates are greatly increased. The complexity of ground-ice and water-flow interplay, together with anticipated warming in the arctic, underscores the utility of coupled groundwater-energy transport models in evaluating hydrologic systems impacted by permafrost.
","language":"English","publisher":"Springer","doi":"10.1007/s10040-012-0941-4","usgsCitation":"Wellman, T., Voss, C.I., and Walvoord, M.A., 2013, Impacts of climate, lake size, and supra- and sub-permafrost groundwater flow on lake-talik evolution, Yukon Flats, Alaska (USA): Hydrogeology Journal, v. 21, no. 1, p. 281-298, https://doi.org/10.1007/s10040-012-0941-4.","productDescription":"18 p.","startPage":"281","endPage":"298","ipdsId":"IP-041642","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":370114,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon Flats National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -148.20556640625,\n 65.7509390575002\n ],\n [\n -143.9703369140625,\n 65.7509390575002\n ],\n [\n -143.9703369140625,\n 66.7116848761489\n ],\n [\n -148.20556640625,\n 66.7116848761489\n ],\n [\n -148.20556640625,\n 65.7509390575002\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-01-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Wellman, Tristan 0000-0003-3049-6214 twellman@usgs.gov","orcid":"https://orcid.org/0000-0003-3049-6214","contributorId":2166,"corporation":false,"usgs":true,"family":"Wellman","given":"Tristan","email":"twellman@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":776979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Voss, Clifford I. 0000-0001-5923-2752 cvoss@usgs.gov","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":1559,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford","email":"cvoss@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":776980,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walvoord, Michelle Ann 0000-0003-4269-8366 walvoord@usgs.gov","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":147211,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"walvoord@usgs.gov","middleInitial":"Ann","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":776981,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70042698,"text":"sir20125277 - 2013 - Nutrient and sediment concentrations, yields, and loads in impaired streams and rivers in the Taunton River Basin, Massachusetts, 1997-2008","interactions":[],"lastModifiedDate":"2015-09-14T08:20:39","indexId":"sir20125277","displayToPublicDate":"2013-01-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5277","title":"Nutrient and sediment concentrations, yields, and loads in impaired streams and rivers in the Taunton River Basin, Massachusetts, 1997-2008","docAbstract":"Rapid development, population growth, and the changes in land and water use accompanying development are placing increasing stress on water resources in the Taunton River Basin. An assessment by the Massachusetts Department of Environmental Protection determined that a number of tributary streams to the Taunton River are impaired for a variety of beneficial uses because of nutrient enrichment. Most of the impaired reaches are in the Matfield River drainage area in the vicinity of the City of Brockton. In addition to impairments of stream reaches in the basin, discharge of nutrient-rich water from the Taunton River contributes to eutrophication of Mount Hope and Narragansett Bays. To assess water quality and loading in the impaired tributary stream reaches in the basin, the U.S. Geological Survey, in cooperation with the Massachusetts Department of Environmental Protection compiled existing water-quality data from previous studies for the period 1997-2006, developed and calibrated a Hydrological Simulation Program-FORTRAN (HSPF) precipitation-runoff model to simulate streamflow in areas of the basin that contain the impaired reaches for the same time period, and collected additional streamflow and water-quality data from sites on the Matfield and Taunton Rivers in 2008. A majority of the waterquality samples used in the study were collected between 1999 and 2006. Overall, the concentration, yield, and load data presented in this report represent water-quality conditions in the basin for the period 1997-2008. Water-quality data from 52 unique sites were used in the study. Most of the samples from previous studies were collected between June and September under dry weather conditions. Simulated or measured daily mean streamflow and water-quality data were used to estimate constituent yields and loads in the impaired tributary stream reaches and the main stem of the Taunton River and to develop yield-duration plots for reaches with sufficient water-quality data. Total phosphorus concentrations in the impaired-reach areas ranged from 0.0046 to 0.91 milligrams per liter (mg/L) in individual samples (number of samples (n)=331), with a median of 0.090 mg/L; total nitrogen concentrations ranged from 0.34 to 14 mg/L in individual samples (n=139), with a median of 1.35 mg/L; and total suspended solids concentrations ranged from 2/d) for total phosphorus and 100 lb/mi2/d for total nitrogen in these reaches. In most of the impaired reaches not affected by the Brockton Advanced Water Reclamation Facility outfall, yields were lower than in reaches downstream from the outfall, and the difference between measured and threshold yields was fairly uniform over a wide range of flows, suggesting that multiple processes contribute to nonpoint loading in these reaches. The Northeast and Mid-Atlantic SPAtially-Referenced Regression On Watershed (SPARROW) models for total phosphorus and total nitrogen also were used to estimate annual nutrient loads in the impaired tributary stream reaches and main stem of the Taunton River and predict the distribution of these loads among point and diffuse sources in reach drainage areas. SPARROW is a regional, statistical model that relates nutrient loads in streams to upstream sources and land-use characteristics and can be used to make predictions for streams that do not have nutrient-load data. The model predicts mean annual loads based on longterm streamflow and water-quality data and nutrient source conditions for the year 2002. Predicted mean annual nutrient loads from the SPARROW models were consistent with the measured yield and load data from sampling sites in the basin. For conditions in 2002, the Brockton Advanced Water Reclamation Facility outfall accounted for over 75 percent of the total nitrogen load and over 93 percent of the total phosphorus load in the Salisbury Plain and Matfield Rivers downstream from the outfall. Municipal point sources also accounted for most of the load in the main stem of the Taunton River. Multiple municipal wastewater discharges in the basin accounted for about 76 and 46 percent of the delivered loads of total phosphorus and total nitrogen, respectively, to Mount Hope Bay. For similarly sized watersheds, total delivered loads were lower in watersheds without point sources compared to those with point sources, and sources associated with developed land accounted for most of the delivered phosphorus and nitrogen loads to the impaired reaches. The concentration, yield, and load data evaluated in this study may not be representative of current (2012) point-source loading in the basin; in particular, most of the water-quality data used in the study (1999-2006) were collected prior to completion of upgrades to the Brockton Advanced Water Reclamation Facility that reduced total phosphorus and nitrogen concentrations in treated effluent. Effluent concentration data indicate that, for a given flow rate, effluent loads of total phosphorus and total nitrogen declined by about 80 and 30 percent, respectively, between the late 1990s and 2008 in response to plant upgrades. Consequently, current (2012) water-quality conditions in the impaired reaches downstream from the facility likely have improved compared to conditions described in the report.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125277","collaboration":"Prepared in cooperation with the Massachusetts Department of Environmental Protection, Division of Watershed Management","usgsCitation":"Barbaro, J.R., and Sorenson, J.R., 2013, Nutrient and sediment concentrations, yields, and loads in impaired streams and rivers in the Taunton River Basin, Massachusetts, 1997-2008: U.S. Geological Survey Scientific Investigations Report 2012-5277, Report: ix, 89 p.; Appendix 2, https://doi.org/10.3133/sir20125277.","productDescription":"Report: ix, 89 p.; Appendix 2","numberOfPages":"103","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[],"links":[{"id":265860,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5277.gif"},{"id":265859,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5277/appendix/sir2012-5277_appx02_table.xlsx"},{"id":265858,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5277/pdf/sir2012-5277_report_508.pdf"},{"id":265857,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5277/"}],"projection":"Massachusetts state plane projection, mainland zone","datum":"1983 North American datum","country":"United States","state":"Massachusetts","otherGeospatial":"Taunton River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.34933471679688,\n 41.67086022030498\n ],\n [\n -71.34933471679688,\n 42.14405981155152\n ],\n [\n -70.71487426757812,\n 42.14405981155152\n ],\n [\n -70.71487426757812,\n 41.67086022030498\n ],\n [\n -71.34933471679688,\n 41.67086022030498\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50fa6f27e4b061045bf9ab9b","contributors":{"authors":[{"text":"Barbaro, Jeffrey R. 0000-0002-6107-2142 jrbarbar@usgs.gov","orcid":"https://orcid.org/0000-0002-6107-2142","contributorId":1626,"corporation":false,"usgs":true,"family":"Barbaro","given":"Jeffrey","email":"jrbarbar@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472080,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sorenson, Jason R. 0000-0001-5553-8594 jsorenso@usgs.gov","orcid":"https://orcid.org/0000-0001-5553-8594","contributorId":3468,"corporation":false,"usgs":true,"family":"Sorenson","given":"Jason","email":"jsorenso@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472081,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70042685,"text":"sir20125263 - 2013 - Hydrogeologic framework, hydrology, and water quality in the Pearce Creek Dredge Material Containment Area and vicinity, Cecil County, Maryland, 2010-11","interactions":[],"lastModifiedDate":"2023-03-09T20:15:36.375142","indexId":"sir20125263","displayToPublicDate":"2013-01-17T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5263","title":"Hydrogeologic framework, hydrology, and water quality in the Pearce Creek Dredge Material Containment Area and vicinity, Cecil County, Maryland, 2010-11","docAbstract":"In 2009, to support an evaluation of the feasibility of reopening the Pearce Creek Dredge Material Containment Area (DMCA) in Cecil County, Maryland, for dredge-spoil disposal, the U.S. Geological Survey (USGS) began to implement a comprehensive study designed to improve the understanding of the hydrogeologic framework, hydrology, and water quality of shallow aquifers underlying the DMCA and adjacent communities, to determine whether or not the DMCA affected groundwater quality, and to assess whether or not groundwater samples contained chemical constituents at levels greater than maximum allowable or recommended levels established by the U.S. Environmental Protection Agency Safe Drinking Water Act. The study, conducted in 2010-11 by USGS in cooperation with the U.S. Army Corps of Engineers, included installation of observation wells in areas where data gaps led earlier studies to be inconclusive. The data from new wells and existing monitoring locations were interpreted and show the DMCA influences the groundwater flow and quality. Groundwater flow in the two primary aquifers used for local supplies-the Magothy aquifer and upper Patapsco aquifer (shallow water-bearing zone)-is radially outward from the DMCA toward discharge areas, including West View Shores, the Elk River, and Pearce Creek Lake. In addition to horizontal flow outward from the DMCA, vertical gradients primarily are downward in most of the study area, and upward near the Elk River on the north side of the DMCA property, and the western part of West View Shores. Integrating groundwater geochemistry data in the analysis, the influence of the DMCA is not only a source of elevated concentrations of dissolved solids but also a geochemical driver of redox processes that enhances the mobilization and transport of redox-sensitive metals and nutrients. Groundwater affected by the DMCA is in the Magothy aquifer and upper Patapsco aquifer (shallow water-bearing zone). Based on minimal data, the water quality in the upper Patapsco aquifer deep water-bearing zone does not seem to have been impacted by the DMCA.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125263","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Dieter, C.A., Koterba, M.T., Zapecza, O.S., Walker, C., and Rice, D.E., 2013, Hydrogeologic framework, hydrology, and water quality in the Pearce Creek Dredge Material Containment Area and vicinity, Cecil County, Maryland, 2010-11: U.S. Geological Survey Scientific Investigations Report 2012-5263, Report: xiii, 219 p.; Appendix, https://doi.org/10.3133/sir20125263.","productDescription":"Report: xiii, 219 p.; Appendix","numberOfPages":"238","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":265813,"rank":4,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5263.gif"},{"id":265811,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5263/sir12_5263.pdf"},{"id":265812,"rank":1,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5263/downloads/append_B_tables.xlsx"},{"id":265810,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5263/"}],"scale":"1000000","projection":"Universal Mercator projection, Zone 18N","datum":"North American Datum 1983","country":"United States","state":"Maryl","county":"Cecil County","otherGeospatial":"Pearce Creek Dredge Material Containment Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.45,39.00 ], [ -75.45,39.78 ], [ -77.00,39.78 ], [ -77.00,39.00 ], [ -75.45,39.00 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50f91d6ee4b0727905955f18","contributors":{"authors":[{"text":"Dieter, Cheryl A. 0000-0002-5786-4091 cadieter@usgs.gov","orcid":"https://orcid.org/0000-0002-5786-4091","contributorId":2058,"corporation":false,"usgs":true,"family":"Dieter","given":"Cheryl","email":"cadieter@usgs.gov","middleInitial":"A.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472056,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koterba, Michael T.","contributorId":70419,"corporation":false,"usgs":true,"family":"Koterba","given":"Michael","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":472059,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zapecza, Otto S. ozapecza@usgs.gov","contributorId":3687,"corporation":false,"usgs":true,"family":"Zapecza","given":"Otto","email":"ozapecza@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":472057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walker, Charles W.","contributorId":56948,"corporation":false,"usgs":true,"family":"Walker","given":"Charles W.","affiliations":[],"preferred":false,"id":472058,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rice, Donald E.","contributorId":70440,"corporation":false,"usgs":true,"family":"Rice","given":"Donald","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":472060,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70072108,"text":"70072108 - 2013 - A framework for quantitative assessment of impacts related to energy and mineral resource development","interactions":[],"lastModifiedDate":"2018-10-11T16:41:52","indexId":"70072108","displayToPublicDate":"2013-01-15T12:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"A framework for quantitative assessment of impacts related to energy and mineral resource development","docAbstract":"Natural resource planning at all scales demands methods for assessing the impacts of resource development and use, and in particular it requires standardized methods that yield robust and unbiased results. Building from existing probabilistic methods for assessing the volumes of energy and mineral resources, we provide an algorithm for consistent, reproducible, quantitative assessment of resource development impacts. The approach combines probabilistic input data with Monte Carlo statistical methods to determine probabilistic outputs that convey the uncertainties inherent in the data. For example, one can utilize our algorithm to combine data from a natural gas resource assessment with maps of sage grouse leks and piñon-juniper woodlands in the same area to estimate possible future habitat impacts due to possible future gas development. As another example: one could combine geochemical data and maps of lynx habitat with data from a mineral deposit assessment in the same area to determine possible future mining impacts on water resources and lynx habitat. The approach can be applied to a broad range of positive and negative resource development impacts, such as water quantity or quality, economic benefits, or air quality, limited only by the availability of necessary input data and quantified relationships among geologic resources, development alternatives, and impacts. The framework enables quantitative evaluation of the trade-offs inherent in resource management decision-making, including cumulative impacts, to address societal concerns and policy aspects of resource development.","language":"English","publisher":"Springer","doi":"10.1007/s11053-013-9208-6","usgsCitation":"Haines, S.S., Diffendorfer, J., Balistrieri, L.S., Berger, B.R., Cook, T.A., Gautier, D.L., Gallegos, T.J., Gerritsen, M., Graffy, E., Hawkins, S., Johnson, K., Macknick, J., McMahon, P., Modde, T., Pierce, B., Schuenemeyer, J.H., Semmens, D., Simon, B., Taylor, J., and Walton-Day, K., 2013, A framework for quantitative assessment of impacts related to energy and mineral resource development: Natural Resources Research, v. 23, no. 1, p. 3-17, https://doi.org/10.1007/s11053-013-9208-6.","productDescription":"15 p.","startPage":"3","endPage":"17","numberOfPages":"15","ipdsId":"IP-044330","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":473974,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11053-013-9208-6","text":"Publisher Index Page"},{"id":281091,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281059,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11053-013-9208-6"}],"volume":"23","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-05-15","publicationStatus":"PW","scienceBaseUri":"53cd49d6e4b0b290850ef690","contributors":{"authors":[{"text":"Haines, Seth S. 0000-0003-2611-8165 shaines@usgs.gov","orcid":"https://orcid.org/0000-0003-2611-8165","contributorId":1344,"corporation":false,"usgs":true,"family":"Haines","given":"Seth","email":"shaines@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":488482,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diffendorfer, James","contributorId":35610,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James","affiliations":[],"preferred":false,"id":488490,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Balistrieri, Laurie S. 0000-0002-6359-3849 balistri@usgs.gov","orcid":"https://orcid.org/0000-0002-6359-3849","contributorId":1406,"corporation":false,"usgs":true,"family":"Balistrieri","given":"Laurie","email":"balistri@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":488483,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berger, Byron R. bberger@usgs.gov","contributorId":1490,"corporation":false,"usgs":true,"family":"Berger","given":"Byron","email":"bberger@usgs.gov","middleInitial":"R.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":488484,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cook, Troy A.","contributorId":52519,"corporation":false,"usgs":true,"family":"Cook","given":"Troy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":488494,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gautier, Donald L. gautier@usgs.gov","contributorId":1310,"corporation":false,"usgs":true,"family":"Gautier","given":"Donald","email":"gautier@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":488481,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gallegos, Tanya J. 0000-0003-3350-6473 tgallegos@usgs.gov","orcid":"https://orcid.org/0000-0003-3350-6473","contributorId":2206,"corporation":false,"usgs":true,"family":"Gallegos","given":"Tanya","email":"tgallegos@usgs.gov","middleInitial":"J.","affiliations":[{"id":436,"text":"National Research Program - 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2013 - Extreme drought: Summary of hydrologic conditions in Georgia, 2011","interactions":[],"lastModifiedDate":"2026-06-05T13:27:17.420986","indexId":"fs20133002","displayToPublicDate":"2013-01-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3002","title":"Extreme drought: Summary of hydrologic conditions in Georgia, 2011","docAbstract":"The United States Geological Survey (USGS) Georgia Water Science Center (GaWSC) maintains a long-term hydrologic monitoring network of more than 320 realtime streamgages, including 10 real-time lake-level monitoring stations and 63 realtime water-quality monitors. Additionally, the GaWSC operates more than 180 groundwater wells, 35 of which are real-time. One of the many benefits from this monitoring network is that the data analyses provide an overview of the hydrologic conditions of rivers, creeks, reservoirs, and aquifers in Georgia.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133002","collaboration":"This Web-only publication is available in pdf format in two sizes: (A) 8 1/2 by 11 inches (5 Mb) and (B) 11 by 25.5 inches (5 Mb). 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\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50f528efe4b0114312ab01ca","contributors":{"authors":[{"text":"Knaak, Andrew E. 0000-0003-1813-8959 aknaak@usgs.gov","orcid":"https://orcid.org/0000-0003-1813-8959","contributorId":3123,"corporation":false,"usgs":true,"family":"Knaak","given":"Andrew","email":"aknaak@usgs.gov","middleInitial":"E.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471899,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frantz, Eric R. 0000-0002-1867-886X efrantz@usgs.gov","orcid":"https://orcid.org/0000-0002-1867-886X","contributorId":41573,"corporation":false,"usgs":true,"family":"Frantz","given":"Eric","email":"efrantz@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":471900,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peck, Michael F. mfpeck@usgs.gov","contributorId":1467,"corporation":false,"usgs":true,"family":"Peck","given":"Michael F.","email":"mfpeck@usgs.gov","affiliations":[],"preferred":false,"id":471898,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70042378,"text":"sir20125217 - 2013 - Effects of best-management practices in Bower Creek in the East River priority watershed, Wisconsin, 1991-2009","interactions":[],"lastModifiedDate":"2013-01-06T12:06:52","indexId":"sir20125217","displayToPublicDate":"2013-01-05T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5217","title":"Effects of best-management practices in Bower Creek in the East River priority watershed, Wisconsin, 1991-2009","docAbstract":"Hydrologic and water-quality data were collected at Bower Creek during the periods before best-management practices (BMPs), and after BMPs were installed for evaluation of water-quality improvements. The monitoring was done between 1990 and 2009 with the pre-BMP period ending in July 1994 and the post-BMP period beginning in October 2006. BMPs installed in this basin included streambank protection and fencing, stream crossings, grade stabilization, buffer strips, various barnyard-runoff controls, nutrient management, and a low degree of upland BMPs. Water-quality evaluations included base-flow concentrations and storm loads for total suspended solids, total phosphorus, and ammonia nitrogen. The only reductions detected between the base-flow samples of the pre- and post-BMP periods were in median concentrations of total phosphorus from base-flow samples, but not for total suspended solids or dissolved ammonia nitrogen. Differences in storm loads for the three water-quality constituents monitored were not observed during the study period.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125217","collaboration":"Prepared in cooperation with the Wisconsin Department of Natural Resources","usgsCitation":"Corsi, S., Horwatich, J.A., Rutter, T.D., and Bannerman, R.T., 2013, Effects of best-management practices in Bower Creek in the East River priority watershed, Wisconsin, 1991-2009: U.S. Geological Survey Scientific Investigations Report 2012-5217, viii, 21 p., https://doi.org/10.3133/sir20125217.","productDescription":"viii, 21 p.","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1990-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":265296,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5217.gif"},{"id":265294,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5217/"},{"id":265295,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5217/pdf/sir2012-5217_508.pdf"}],"scale":"24000","country":"United States","state":"Wisconsin","county":"Brown","city":"Bellevue;De Pere;Green Leaf;Morrison","otherGeospatial":"Bower Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.016667,44.341667 ], [ -88.016667,44.433333 ], [ -87.925,44.433333 ], [ -87.925,44.341667 ], [ -88.016667,44.341667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50eaab77e4b02dd6076fada3","contributors":{"authors":[{"text":"Corsi, Steven R. srcorsi@usgs.gov","contributorId":511,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven R.","email":"srcorsi@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":471416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horwatich, Judy A. 0000-0003-0582-0836 jahorwat@usgs.gov","orcid":"https://orcid.org/0000-0003-0582-0836","contributorId":1388,"corporation":false,"usgs":true,"family":"Horwatich","given":"Judy","email":"jahorwat@usgs.gov","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471417,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rutter, Troy D. 0000-0001-5130-204X tdrutter@usgs.gov","orcid":"https://orcid.org/0000-0001-5130-204X","contributorId":2081,"corporation":false,"usgs":true,"family":"Rutter","given":"Troy","email":"tdrutter@usgs.gov","middleInitial":"D.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471418,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bannerman, Roger T. 0000-0001-9221-2905 rbannerman@usgs.gov","orcid":"https://orcid.org/0000-0001-9221-2905","contributorId":5560,"corporation":false,"usgs":true,"family":"Bannerman","given":"Roger","email":"rbannerman@usgs.gov","middleInitial":"T.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471419,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70043344,"text":"70043344 - 2013 - Vegetation projections for Wind Cave National Park with three future climate scenarios: Final report in completion of Task Agreement J8W07100052","interactions":[],"lastModifiedDate":"2021-03-04T14:44:57.232009","indexId":"70043344","displayToPublicDate":"2013-01-01T15:36:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":272,"text":"National Park Service Natural Resource Technical Report","active":false,"publicationSubtype":{"id":4}},"seriesNumber":"NPS/WICA/NRTRT--2013/681","title":"Vegetation projections for Wind Cave National Park with three future climate scenarios: Final report in completion of Task Agreement J8W07100052","docAbstract":"The effects of climate change on the natural resources protected by Parks will likely be substantial, but geographically variable, due to local variation in climate trajectories and differences among ecosystems in their vulnerability to climate change. The projections of general circulation models (GCMs) indicate the possible magnitude and direction of future climate change for a region, but the utility of these projections for more local scales, those of individual National Park Service (NPS) units, are more uncertain because the coarse-scale GCMs lack much of the topographic detail that alters local climates. In addition, complex, interacting effects of temperature, precipitation, atmospheric CO2 concentrations, fire, and herbivores on the vegetation that is the foundational natural resource of many NPS units present challenges in assessing the effects of projected future climates on plant and animal assemblages managed by the NPS.
\nIn spring 2009, Wind Cave National Park (WICA) served as a case study in a workshop assessing the use of scenario planning as a tool for park management planning in the face of rapidly changing climate. One outcome of the workshop was the recognized need for quantitative models to better understand the range of possible vegetation changes under different future climates and management decisions. This report addresses this need; it describes our adaptation of a dynamic global vegetation model (DGVM) to WICA vegetation and the resulting projections of future vegetation under three future climate scenarios and 11 management scenarios determined by Park natural resource managers.
\nWind Cave National Park lies along a narrow transition zone between the ponderosa pine (Pinus ponderosa) forests of the Black Hills and the mixed grass prairie that once extended with few interruptions over the lower, gentler terrain, subject to warmer, drier climate to the east and south of the Park. The location and character of this transition is strongly influenced by fire frequency and intensity (Brown and Sieg 1999). Furthermore, the mixed grass prairie occupies a broader transition zone between eastern tallgrass prairie and the shortgrass prairie of the western Great Plains. The dominance of species characteristic of these two prairie types varies with soil moisture availability, evaporative demand, and recent grazing history (Cogan et al. 1999). In addition, Wind Cave lies near the midpoint of a long gradient of C3 (cool season) grass dominance to the north and C4 (warm season) grass dominance to the south.
\nThe ecotonal position of WICA may make it particularly sensitive to climate change. For example, small changes in fire frequency and/or intensity and the vigor of trees vs. grass could dramatically shift the proportions of these two lifeforms. The Park hydrology is also sensitive to changes in the balance between infiltration of precipitation and evapotranspiration, as on average, only a small fraction of annual precipitation reaches the deeper soil layers that feed permanent streamflow. The resources at risk at Wind Cave NP include the Cave itself, as well as small backcountry caves, a genetically important bison herd, and other prairie species including the black-tailed prairie dog and endangered black-footed ferrets. All of these resources will be directly affected by climate change impacts on vegetation and hydrology.
\nNatural resource management challenges at WICA are substantial, diverse, and intertwined. Aboveground, the park has been recognized as exemplary for its high quality vegetation (Marriot et al. 1999), though the park is relatively small for the diversity of vegetation types and species that it supports. Even without a changing climate, maintaining the integrity of the plant communities is complicated by the park’s legislated responsibility to maintain viable populations of bison, elk and pronghorn. In addition, the federally endangered black-footed ferret was recently re-introduced to the park. This species requires large extents of prairie dog towns for prey and habitat. Prairie dogs impact vegetation by constant clipping, grazing and soil disturbance, thereby affecting plant composition and productivity. Moreover, naturally high interannual climate variability and the strong influence of precipitation on grass productivity in this region combine to yield high interannual variability in the amount of forage available for the wildlife that the park is tasked to maintain. Finally, fire, which is now primarily controlled by WICA and NPS Northern Great Plains fire management programs, is intertwined with all other natural resource issues at WICA, as it can impact prairie dog colony and forest expansion, ungulate foraging behavior, invasive plant species, and hydrological processes.
\nAlthough not capable of capturing all of these complexities, dynamic vegetation models do provide a means for quantitatively projecting vegetation futures in future climates under plausible fire and grazing regimes. Our work uses the DGVM MC1 to simulate the effects of future climate projections and management practices on the vegetation of WICA. MC1 is designed to project potential vegetation as influenced by natural processes and hence is appropriate for national parks, where conservation of native biota and ecosystems is of great importance.
\nSince the initial application of MC1 to a small portion of WICA (Bachelet et al. 2000), the model has been altered to improve model performance with the inclusion of dynamic fire. Applying this improved version to WICA required substantial recalibration, during which we have made a number of improvements to MC1 that will be incorporated as permanent changes. In this report we document these changes and our calibration procedure following a brief overview of the model. We compare the projections of current vegetation to the current state of the park and present projections of vegetation dynamics under future climates downscaled from three GCMs selected to represent the existing range in available GCM projections. In doing so, we examine the consequences of different management options regarding fire and grazing, major aspects of biotic management at Wind Cave.
","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"King, D.A., Bachelet, D.M., and Symstad, A., 2013, Vegetation projections for Wind Cave National Park with three future climate scenarios: Final report in completion of Task Agreement J8W07100052: National Park Service Natural Resource Technical Report NPS/WICA/NRTRT--2013/681, x, 58 p.","productDescription":"x, 58 p.","numberOfPages":"73","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041469","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":275526,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":383826,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2192953"}],"country":"United States","state":"South Dakota","otherGeospatial":"Wind Cave National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -103.550635,43.497251 ], [ -103.550635,43.640543 ], [ -103.337034,43.640543 ], [ -103.337034,43.497251 ], [ -103.550635,43.497251 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f78eede4b02e26443a93d4","contributors":{"authors":[{"text":"King, David A.","contributorId":7160,"corporation":false,"usgs":true,"family":"King","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":473447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bachelet, Dominique M.","contributorId":89042,"corporation":false,"usgs":true,"family":"Bachelet","given":"Dominique","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":473449,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Symstad, Amy J.","contributorId":11721,"corporation":false,"usgs":true,"family":"Symstad","given":"Amy J.","affiliations":[],"preferred":false,"id":473448,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70043518,"text":"70043518 - 2013 - The stability of sulfate and hydrated sulfate minerals near ambient conditions and their significance in environmental and planetary sciences","interactions":[],"lastModifiedDate":"2021-03-25T18:43:31.359052","indexId":"70043518","displayToPublicDate":"2013-01-01T13:39:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2184,"text":"Journal of Asian Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"The stability of sulfate and hydrated sulfate minerals near ambient conditions and their significance in environmental and planetary sciences","docAbstract":"Sulfate and hydrated sulfate minerals are abundant and ubiquitous on the surface of the Earth and also on other planets and their satellites. The humidity-buffer technique has been applied to study the stability of some of these minerals at 0.1 MPa in terms of temperature-relative humidity space on the basis of hydration-dehydration reversal experiments. Updated phase relations in the binary system MgSO4-H2O are presented, as an example, to show how reliable thermodynamic data for these minerals could be obtained based on these experimental results and thermodynamic principles. This approach has been applied to sulfate and hydrated sulfate minerals of other metals, including Fe (both ferrous and ferric), Zn, Ni, Co, Cd, and Cu.\n\nMetal-sulfate salts play important roles in the cycling of metals and sulfate in terrestrial systems, and the number of phases extends well beyond the simple sulfate salts that have thus far been investigated experimentally. The oxidation of sulfide minerals, particularly pyrite, is a common process that initiates the formation of efflorescent metal-sulfate minerals. Also, the overall abundance of iron-bearing sulfate salts in nature reflects the fact that the weathering of pyrite or pyrrhotite is the ultimate source for many of these phases. Many aspects of their environmental significance are reviewed, particularly in acute effects to aquatic ecosystems related to the dissolution of sulfate salts during rain storms or snow-melt events.\n\nHydrous Mg, Ca, and Fe sulfates were identified on Mars, with wide distribution and very large quantities at many locations, on the basis of spectroscopic observations from orbital remote sensing and surface explorations by rovers. However, many of these findings do not reveal the detailed information on the degree of hydration that is essential for rigorous interpretation of the hydrologic history of Mars. Laboratory experiments on stability fields, reactions pathways, and reaction rates of hydrous sulfates likely to be found on Mars enhance our understanding of the degrees of hydration of various sulfates that should currently exist on Mars at various seasons and locations and during various atmospheric pressure and obliquity periods. Two sets of systematic experiments were described; one on hydrous Mg sulfates and the other on hydrous Fe3+ sulfates. Also, their implications to Mars sulfates mineralogy were discussed.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jseaes.2012.11.027","usgsCitation":"Chou, I., Seal, R., and Wang, A., 2013, The stability of sulfate and hydrated sulfate minerals near ambient conditions and their significance in environmental and planetary sciences: Journal of Asian Earth Sciences, v. 62, p. 734-758, https://doi.org/10.1016/j.jseaes.2012.11.027.","productDescription":"25 p.","startPage":"734","endPage":"758","numberOfPages":"25","ipdsId":"IP-035597","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":275633,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51fa31e8e4b076c3a8d8268f","contributors":{"authors":[{"text":"Chou, I-Ming 0000-0001-5233-6479 imchou@usgs.gov","orcid":"https://orcid.org/0000-0001-5233-6479","contributorId":882,"corporation":false,"usgs":true,"family":"Chou","given":"I-Ming","email":"imchou@usgs.gov","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":473758,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seal, Robert R. II 0000-0003-0901-2529 rseal@usgs.gov","orcid":"https://orcid.org/0000-0003-0901-2529","contributorId":397,"corporation":false,"usgs":true,"family":"Seal","given":"Robert R.","suffix":"II","email":"rseal@usgs.gov","affiliations":[],"preferred":false,"id":473757,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Alian","contributorId":97616,"corporation":false,"usgs":true,"family":"Wang","given":"Alian","email":"","affiliations":[],"preferred":false,"id":473759,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70123888,"text":"70123888 - 2013 - Maintaining and restoring sustainable ecosystems in southern Nevada","interactions":[],"lastModifiedDate":"2022-12-30T14:43:31.737296","indexId":"70123888","displayToPublicDate":"2013-01-01T12:58:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":32,"text":"General Technical Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"RMRS-GTR-303","chapter":"7","title":"Maintaining and restoring sustainable ecosystems in southern Nevada","docAbstract":"Managers in southern Nevada are challenge with determining appropriate goals and objectives and developing viable approaches for maintaining and restoring sustainable ecosystems in a time of rapid socio-ecological and environmental change. Sustainable or \"healthy\" ecosystems supply clean air, water and habitat for a diverse array of plants and animals. As described in Chapter 1, sustainable ecosystems retain characteristic processes like hydrological flux and storage, geomorphic processes, biogeochemical cycling and storage, biological activity and productivity, and population regeneration and reproduction over the normal cycle of disturbance events (modified from Chapin and others 1996 and Christensen and others 1996). Ecological restoration of stressed or disturbed ecosystems in an integral part of managing for sustainable ecosystems. The Society of Ecological Restoration International (SERI) defines ecological restoration as the process of assisting the recovery of an ecosystem that has been degraded, damaged, or destroyed (SERI 2004).
\nMany of the southern Nevada's ecosystems are being subjected to anthropogenic stressors that span global, regional, and local scales (Chapter 2)., and are crossing ecological thresholds to new alternative states (Chapter 4 and Chapter 5). These alternative states often represent novel communities with disturbance regimes that differ significantly from historic conditions. Past management and restoration goals often focused on returning ecosystems to pre-disturbance conditions (Harris and others 2006). This approach assumes stable or equilibrium conditions and ignores changes in ecosystems processes due to land uses, increases in CO2 concentrations, and climate change. A more realistic approach is to base management and restoration goals on the current potential of an ecosystem to support a given set of ecological conditions, and on the likelihood of future change due to warming climate (Harris and others 2006). This approach requires understanding ecosystem resilience to anthropogenic disturbance and climate change, the alternative states that exist for ecosystems, and the factors that result in threshold crossing (Bestelmeyer and others 2009; Hobbs and Harris 2001; Stingham and others 2003; Whisemnant 1999). It also requires the ability to predict how climate is likely to influence ecosystems in the future (Harris and others 2006).
\nThis chapter addresses the restoration aspects of Sub-goal 1.3 in the SNAP Science Research Strategy which is to restore and sustain proper function of southern Nevada's watersheds and landscapes (able 1.3; Turner and others 2009). The effects of global, regional and local stresses on southern Nevada ecosystems are presented in Chapter 2. Here, we discuss appropriate objectives and develop guidelines for maintaining and restoring southern Nevada ecosystems. We then discuss the differences in ecological resilience to stress and disturbance and resistance to invasive species in southern Nevada ecosystems and describe restoration and management approaches for the different ecosystem types. We conclude with knowledge gaps and management implications.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The Southern Nevada Agency Partnership science and research synthesis: Science to support land management in southern Nevada (General Technical Report RMRS-GTR-303)","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"U.S. Forest Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Chambers, J., Pendleton, B.K., Sada, D.W., Ostoja, S.M., and Brooks, M.L., 2013, Maintaining and restoring sustainable ecosystems in southern Nevada: General Technical Report RMRS-GTR-303, 30 p.","productDescription":"30 p.","startPage":"125","endPage":"154","numberOfPages":"30","ipdsId":"IP-037932","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":294532,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294531,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fs.fed.us/rm/pubs/rmrs_gtr303.html"}],"country":"United States","state":"Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.62994356826636,\n 35.02392827573823\n ],\n [\n -114.71108092890972,\n 36.05434128183754\n ],\n [\n -114.1610398819929,\n 35.96903144947467\n ],\n [\n -113.99956682074821,\n 39.38359318014548\n ],\n [\n -120.06431672841825,\n 39.64524306073176\n ],\n [\n -120.09127846963423,\n 38.90168971729281\n ],\n [\n -114.62994356826636,\n 35.02392827573823\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54252ec0e4b0e641df8a7085","contributors":{"authors":[{"text":"Chambers, Jeanne C.","contributorId":75889,"corporation":false,"usgs":false,"family":"Chambers","given":"Jeanne C.","affiliations":[],"preferred":false,"id":500456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pendleton, Burton K.","contributorId":107187,"corporation":false,"usgs":true,"family":"Pendleton","given":"Burton","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":500457,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sada, Donald W.","contributorId":20673,"corporation":false,"usgs":true,"family":"Sada","given":"Donald","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":500455,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ostoja, Steven M. sostoja@usgs.gov","contributorId":3039,"corporation":false,"usgs":true,"family":"Ostoja","given":"Steven","email":"sostoja@usgs.gov","middleInitial":"M.","affiliations":[{"id":33665,"text":"USDA California Climate Hub, UC Davis","active":true,"usgs":false},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":500454,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brooks, Matthew L. 0000-0002-3518-6787 mlbrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-3518-6787","contributorId":393,"corporation":false,"usgs":true,"family":"Brooks","given":"Matthew","email":"mlbrooks@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":500453,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70046839,"text":"70046839 - 2013 - Export of dissolved organic carbon from the Penobscot River basin in north-central Maine","interactions":[],"lastModifiedDate":"2022-11-22T12:04:50.712023","indexId":"70046839","displayToPublicDate":"2013-01-01T12:54:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Export of dissolved organic carbon from the Penobscot River basin in north-central Maine","docAbstract":"Dissolved organic carbon (DOC) flux from the Penobscot River and its major tributaries in Maine was determined using continuous discharge measurements, discrete water sampling, and the LOADEST regression software. The average daily flux during 2004–2007 was 71 kg C ha−1 yr−1 (392 Mt C d−1), an amount larger than measured in most northern temperate and boreal rivers. Distinct seasonal variation was observed in the relation between concentration and discharge (C–Q). During June through December (summer/fall), there was a relatively steep positive C–Q relation where concentration increased by a factor of 2–3 over the approximately 20-fold range of observed stream discharge for the Penobscot River near Eddington, Maine. In contrast, during January through May (winter/spring), DOC concentration did not increase with increasing discharge. In addition, we observed a major shift in the C–Q between 2004–2005 and 2006–2007, apparently resulting from unprecedented rainfall, runoff, and soil flushing beginning in late fall 2005. The relative contribution to the total Penobscot River basin DOC flux from each tributary varied dramatically by season, reflecting the role of large regulated reservoirs in certain basins. DOC concentration and flux per unit watershed area were highest in tributaries containing the largest areas in palustrine wetlands. Tributary DOC concentration and flux was positively correlated to percentage wetland area. Climatic or environmental changes that influence the magnitude or timing of river discharge or the abundance of wetlands will likely affect the export of DOC to the near-coastal ocean.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2012.10.039","usgsCitation":"Huntington, T.G., and Aiken, G.R., 2013, Export of dissolved organic carbon from the Penobscot River basin in north-central Maine: Journal of Hydrology, v. 476, p. 244-256, https://doi.org/10.1016/j.jhydrol.2012.10.039.","productDescription":"13 p.","startPage":"244","endPage":"256","ipdsId":"IP-017251","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":274983,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274982,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2012.10.039"}],"country":"United States","state":"Maine","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -70.54764999904074,\n 46.31845656074887\n ],\n [\n -70.54764999904074,\n 44.56645421087305\n ],\n [\n -67.18174929040322,\n 44.56645421087305\n ],\n [\n -67.18174929040322,\n 46.31845656074887\n ],\n [\n -70.54764999904074,\n 46.31845656074887\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"476","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e519eae4b069f8d27ccaed","contributors":{"authors":[{"text":"Huntington, Thomas G. 0000-0002-9427-3530 thunting@usgs.gov","orcid":"https://orcid.org/0000-0002-9427-3530","contributorId":1884,"corporation":false,"usgs":true,"family":"Huntington","given":"Thomas","email":"thunting@usgs.gov","middleInitial":"G.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480435,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70093267,"text":"70093267 - 2013 - Potential effects of climate change on inland glacial lakes and implications for lake-dependent biota in Wisconsin: final report April 2013","interactions":[],"lastModifiedDate":"2014-04-11T12:54:52","indexId":"70093267","displayToPublicDate":"2013-01-01T12:49:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Potential effects of climate change on inland glacial lakes and implications for lake-dependent biota in Wisconsin: final report April 2013","docAbstract":"The economic vitality and quality of life of many northern Wisconsin communities is closely \nassociated with the ecological condition of the abundant water resources in the region. Climate change \nmodels predict warmer temperatures, changes to precipitation patterns, and increased evapotranspiration in \nthe Great Lakes region. Recently (1950-2006), many regions of Wisconsin have experienced warming, and \nprecipitation has generally increased except in far northern Wisconsin. Modeling conducted by the \nUniversity of Wisconsin Nelson Environmental Institute Center for Climate Research predicts an increase \nin annual temperature by the middle of the 21st\n century of approximately 6°\nF statewide, and an increase in \nprecipitation of 1”–2”. However, summer precipitation in the northern part of the state is expected to be \nless and winter precipitation will be greater. By the end of the 21st century, the magnitude of changes in \ntemperature and precipitation are expected to intensify. \nSuch climatic changes have altered, and would further alter hydrological, chemical, and physical \nproperties of inland lakes. Lake-dependent wildlife sensitive to changes in water quality, are particularly \nsusceptible to lake quality-associated habitat changes and are likely to suffer restrictions to current breeding \ndistributions under some climate change scenarios. We have selected the common loon (Gavia immer) to \nserve as a sentinel lake-dependent piscivorous species to be used in the development of a template for \nlinking primary lake-dependent biota endpoints (e.g., decline in productivity and/or breeding range \ncontraction) to important lake quality indicators. In the current project, we evaluate how changes in \nfreshwater habitat quality (specifically lake clarity) may impact common loon lake occupancy in Wisconsin \nunder detailed climate-change scenarios. In addition, we employ simple land-use/land cover and habitat \nscenarios to illustrate the potential interaction of climate and land-use/land cover effects. The methods \nemployed here provide a template for studies where integration of physical and biotic models is used to \nproject future conditions under various climate and land use change scenarios. Findings presented here \nproject the future conditions of lakes and loons within an important watershed in northern Wisconsin – of \nimportance to water resource managers and state citizens alike.","language":"English","publisher":"Focus on Energy","collaboration":"Environmental and Economic Research and Development Program","usgsCitation":"Meyer, M., Walker, J.F., Kenow, K.P., Rasmussen, P.W., Garrison, P.J., Hanson, P.C., and Hunt, R.J., 2013, Potential effects of climate change on inland glacial lakes and implications for lake-dependent biota in Wisconsin: final report April 2013, x, 166 p.","productDescription":"x, 166 p.","numberOfPages":"176","ipdsId":"IP-038873","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":286291,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.8894,42.4919 ], [ -92.8894,47.0807 ], [ -86.764,47.0807 ], [ -86.764,42.4919 ], [ -92.8894,42.4919 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"535594f7e4b0120853e8c10d","contributors":{"authors":[{"text":"Meyer, Michael W.","contributorId":38943,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael W.","affiliations":[],"preferred":false,"id":490005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walker, John F. jfwalker@usgs.gov","contributorId":1081,"corporation":false,"usgs":true,"family":"Walker","given":"John","email":"jfwalker@usgs.gov","middleInitial":"F.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490000,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kenow, Kevin P. 0000-0002-3062-5197 kkenow@usgs.gov","orcid":"https://orcid.org/0000-0002-3062-5197","contributorId":3339,"corporation":false,"usgs":true,"family":"Kenow","given":"Kevin","email":"kkenow@usgs.gov","middleInitial":"P.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":490002,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rasmussen, Paul W.","contributorId":17753,"corporation":false,"usgs":true,"family":"Rasmussen","given":"Paul","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":490003,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garrison, Paul J.","contributorId":73193,"corporation":false,"usgs":true,"family":"Garrison","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":490006,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hanson, Paul C.","contributorId":35634,"corporation":false,"usgs":false,"family":"Hanson","given":"Paul","email":"","middleInitial":"C.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":490004,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490001,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70148176,"text":"70148176 - 2013 - Effects of hydrologic connectivity on aquatic macroinvertebrate assemblages in different marsh types","interactions":[],"lastModifiedDate":"2015-05-26T11:12:23","indexId":"70148176","displayToPublicDate":"2013-01-01T12:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":860,"text":"Aquatic Biology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of hydrologic connectivity on aquatic macroinvertebrate assemblages in different marsh types","docAbstract":"Hydrologic connectivity can be an important driver of aquatic macroinvertebrate assemblages. Its effects on aquatic macroinvertebrate assemblages in coastal marshes, however, are relatively poorly studied. We evaluated the effects of lateral hydrologic connectivity (permanently connected ponds: PCPs; temporary connected ponds: TCPs), and other environmental variables on aquatic macroinvertebrate assemblages and functional feeding groups (FFGs) in freshwater, brackish, and saline marshes in Louisiana, USA. We hypothesized that (1) aquatic macroinvertebrate assemblages in PCPs would have higher assemblage metric values (density, biomass, Shannon-Wiener diversity) than TCPs and (2) the density and proportional abundance of certain FFGs (i.e. scrapers, shredders, and collectors) would be greater in freshwater marsh than brackish and saline marshes. The data in our study only partially supported our first hypothesis: while freshwater marsh PCPs had higher density and biomass than TCPs, assemblage metric values in saline TCPs were greater than saline PCPs. In freshwater TCPs, long duration of isolation limited access of macroinvertebrates from adjacent water bodies, which may have reduced assemblage metric values. However, the relatively short duration of isolation in saline TCPs provided more stable or similar habitat conditions, facilitating higher assemblage metric values. As predicted by our second hypothesis, freshwater PCPs and TCPs supported a greater density of scrapers, shredders, and collectors than brackish and saline ponds. Aquatic macroinvertebrate assemblages seem to be structured by individual taxa responses to salinity as well as pond habitat attributes.
","language":"English","publisher":"Inter-Research","publisherLocation":"Oldendorf","doi":"10.3354/ab00499","collaboration":"Louisiana Department of Wildlife and Fisheries; US Fish and Wildlife Service; International Crane Foundation","usgsCitation":"Kang, S., and King, S.L., 2013, Effects of hydrologic connectivity on aquatic macroinvertebrate assemblages in different marsh types: Aquatic Biology, v. 18, no. 2, p. 149-160, https://doi.org/10.3354/ab00499.","productDescription":"12 p.","startPage":"149","endPage":"160","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043694","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":474001,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/ab00499","text":"Publisher Index Page"},{"id":300784,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55659941e4b0d9246a9eb61d","contributors":{"authors":[{"text":"Kang, Sung-Ryong","contributorId":140927,"corporation":false,"usgs":false,"family":"Kang","given":"Sung-Ryong","email":"","affiliations":[],"preferred":false,"id":547608,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":547534,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70170999,"text":"70170999 - 2013 - In-stream attenuation of neuro-active pharmaceuticals and their metabolites","interactions":[],"lastModifiedDate":"2016-05-17T10:32:28","indexId":"70170999","displayToPublicDate":"2013-01-01T11:30:00","publicationYear":"2013","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":"In-stream attenuation of neuro-active pharmaceuticals and their metabolites","docAbstract":"In-stream attenuation was determined for 14 neuro-active pharmaceuticals and associated metabolites. Lagrangian sampling, which follows a parcel of water as it moves downstream, was used to link hydrological and chemical transformation processes. Wastewater loading of neuro-active compounds varied considerably over a span of several hours, and thus a sampling regime was used to verify that the Lagrangian parcel was being sampled and a mechanism was developed to correct measured concentrations if it was not. In-stream attenuation over the 5.4-km evaluated reach could be modeled as pseudo-first-order decay for 11 of the 14 evaluated neuro-active pharmaceutical compounds, illustrating the capacity of streams to reduce conveyance of neuro-active compounds downstream. Fluoxetine and N-desmethyl citalopram were the most rapidly attenuated compounds (t1/2 = 3.6 ± 0.3 h, 4.0 ± 0.2 h, respectively). Lamotrigine, 10,11,-dihydro-10,11,-dihydroxy-carbamazepine, and carbamazepine were the most persistent (t1/2 = 12 ± 2.0 h, 12 ± 2.6 h, 21 ± 4.5 h, respectively). Parent compounds (e.g., buproprion, carbamazepine, lamotrigine) generally were more persistent relative to their metabolites. Several compounds (citalopram, venlafaxine, O-desmethyl-venlafaxine) were not attenuated. It was postulated that the primary mechanism of removal for these compounds was interaction with bed sediments and stream biofilms, based on measured concentrations in stream biofilms and a column experiment using stream sediments.
","language":"English","publisher":"American Chemical Society","publisherLocation":"Easton, PA","doi":"10.1021/es402158t","usgsCitation":"Writer, J., Antweiler, R.C., Ferrar, I., Ryan, J.N., and Thurman, M., 2013, In-stream attenuation of neuro-active pharmaceuticals and their metabolites: Environmental Science & Technology, v. 47, no. 17, p. 9781-9790, https://doi.org/10.1021/es402158t.","productDescription":"10 p.","startPage":"9781","endPage":"9790","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046093","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":321290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"17","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-08-16","publicationStatus":"PW","scienceBaseUri":"574d659ee4b07e28b668457f","contributors":{"authors":[{"text":"Writer, Jeffrey 0000-0002-8585-8166 jwriter@usgs.gov","orcid":"https://orcid.org/0000-0002-8585-8166","contributorId":169360,"corporation":false,"usgs":true,"family":"Writer","given":"Jeffrey","email":"jwriter@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":629433,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Antweiler, Ronald C. 0000-0001-5652-6034 antweil@usgs.gov","orcid":"https://orcid.org/0000-0001-5652-6034","contributorId":1481,"corporation":false,"usgs":true,"family":"Antweiler","given":"Ronald","email":"antweil@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":629434,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ferrar, Imma","contributorId":169361,"corporation":false,"usgs":false,"family":"Ferrar","given":"Imma","email":"","affiliations":[{"id":25479,"text":"CU Boulder","active":true,"usgs":false}],"preferred":false,"id":629435,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ryan, Joseph N.","contributorId":54290,"corporation":false,"usgs":false,"family":"Ryan","given":"Joseph","email":"","middleInitial":"N.","affiliations":[{"id":604,"text":"University of Colorado- Boulder","active":false,"usgs":true}],"preferred":false,"id":629436,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thurman, Michael","contributorId":72872,"corporation":false,"usgs":true,"family":"Thurman","given":"Michael","affiliations":[],"preferred":false,"id":629437,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70112474,"text":"70112474 - 2013 - Harmonizing multiple methods for reconstructing historical potential and reference evapotranspiration","interactions":[],"lastModifiedDate":"2014-07-28T08:47:26","indexId":"70112474","displayToPublicDate":"2013-01-01T10:35:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2341,"text":"Journal of Hydrologic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Harmonizing multiple methods for reconstructing historical potential and reference evapotranspiration","docAbstract":"Potential evapotranspiration (PET) and reference evapotranspiration (RET) data are usually critical components of hydrologic analysis. Many different equations are available to estimate PET and RET. Most of these equations, such as the Priestley-Taylor and Penman- Monteith methods, rely on detailed meteorological data collected at ground-based weather stations. Few weather stations collect enough data to estimate PET or RET using one of the more complex evapotranspiration equations. Currently, satellite data integrated with ground meteorological data are used with one of these evapotranspiration equations to accurately estimate PET and RET. However, earlier than the last few decades, historical reconstructions of PET and RET needed for many hydrologic analyses are limited by the paucity of satellite data and of some types of ground data. Air temperature stands out as the most generally available meteorological ground data type over the last century. Temperature-based approaches used with readily available historical temperature data offer the potential for long period-of-record PET and RET historical reconstructions. A challenge is the inconsistency between the more accurate, but more data intensive, methods appropriate for more recent periods and the less accurate, but less data intensive, methods appropriate to the more distant past. In this study, multiple methods are harmonized in a seamless reconstruction of historical PET and RET by quantifying and eliminating the biases of the simple Hargreaves-Samani method relative to the more complex and accurate Priestley-Taylor and Penman-Monteith methods. This harmonization process is used to generate long-term, internally consistent, spatiotemporal databases of PET and RET.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrologic Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Civil Engineers","publisherLocation":"New York, NY","doi":"10.1061/(ASCE)HE.1943-5584.0000935","usgsCitation":"Belaineh, G., Sumner, D., Carter, E., and Clapp, D., 2013, Harmonizing multiple methods for reconstructing historical potential and reference evapotranspiration: Journal of Hydrologic Engineering, v. 19, no. 8, 8 p., https://doi.org/10.1061/(ASCE)HE.1943-5584.0000935.","productDescription":"8 p.","numberOfPages":"8","ipdsId":"IP-039256","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":288621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288619,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)HE.1943-5584.0000935"}],"country":"United States","state":"Florida","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.0,27.0 ], [ -84.0,31.0 ], [ -80.0,31.0 ], [ -80.0,27.0 ], [ -84.0,27.0 ] ] ] } } ] }","volume":"19","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae7736e4b0abf75cf2c0a7","contributors":{"authors":[{"text":"Belaineh, Getachew","contributorId":37262,"corporation":false,"usgs":true,"family":"Belaineh","given":"Getachew","email":"","affiliations":[],"preferred":false,"id":494756,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sumner, David","contributorId":63731,"corporation":false,"usgs":true,"family":"Sumner","given":"David","affiliations":[],"preferred":false,"id":494758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carter, Edward","contributorId":49714,"corporation":false,"usgs":true,"family":"Carter","given":"Edward","email":"","affiliations":[],"preferred":false,"id":494757,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clapp, David","contributorId":10338,"corporation":false,"usgs":true,"family":"Clapp","given":"David","email":"","affiliations":[],"preferred":false,"id":494755,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70042795,"text":"70042795 - 2013 - Geologic, hydrologic, and urban hazards for design in desert environments","interactions":[],"lastModifiedDate":"2020-06-19T19:26:17.321565","indexId":"70042795","displayToPublicDate":"2013-01-01T10:30:47","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"5","title":"Geologic, hydrologic, and urban hazards for design in desert environments","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Design with the desert: Conservation and sustainable development","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","usgsCitation":"Webb, R., Leake, S.A., and Malloy, R.A., 2013, Geologic, hydrologic, and urban hazards for design in desert environments, chap. 5 of Design with the desert: Conservation and sustainable development, p. 91-120.","productDescription":"30 p.","startPage":"91","endPage":"120","ipdsId":"IP-022488","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":276597,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"520ca6e5e4b081fa6136d3e6","contributors":{"editors":[{"text":"Malloy, Richard","contributorId":111995,"corporation":false,"usgs":true,"family":"Malloy","given":"Richard","affiliations":[],"preferred":false,"id":509179,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Brock, John H.","contributorId":14320,"corporation":false,"usgs":false,"family":"Brock","given":"John H.","affiliations":[],"preferred":false,"id":509178,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Floyd, Anthony","contributorId":113794,"corporation":false,"usgs":true,"family":"Floyd","given":"Anthony","email":"","affiliations":[],"preferred":false,"id":509181,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Livingston, Margaret","contributorId":112580,"corporation":false,"usgs":true,"family":"Livingston","given":"Margaret","email":"","affiliations":[],"preferred":false,"id":509180,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Webb, Robert H. rhwebb@usgs.gov","contributorId":1573,"corporation":false,"usgs":false,"family":"Webb","given":"Robert H.","email":"rhwebb@usgs.gov","affiliations":[{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":509177,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Webb, Robert H. rhwebb@usgs.gov","contributorId":1573,"corporation":false,"usgs":false,"family":"Webb","given":"Robert H.","email":"rhwebb@usgs.gov","affiliations":[{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":472288,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leake, Stanley A. 0000-0003-3568-2542 saleake@usgs.gov","orcid":"https://orcid.org/0000-0003-3568-2542","contributorId":1846,"corporation":false,"usgs":true,"family":"Leake","given":"Stanley","email":"saleake@usgs.gov","middleInitial":"A.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472289,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Malloy, Richard A.","contributorId":39688,"corporation":false,"usgs":true,"family":"Malloy","given":"Richard","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":472290,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70046154,"text":"70046154 - 2013 - The water-quality effects of a bulkhead installed in the Dinero mine tunnel, near Leadville, Colorado","interactions":[],"lastModifiedDate":"2022-03-24T15:22:05.982569","indexId":"70046154","displayToPublicDate":"2013-01-01T10:17:47","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The water-quality effects of a bulkhead installed in the Dinero mine tunnel, near Leadville, Colorado","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Annual International Mine Water Association conference — Reliable mine water technology","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Reliable Mine Water Technology","conferenceLocation":"Golden, CO","language":"English","publisher":"International Mine Water Association","usgsCitation":"Walton-Day, K., Mills, T.J., Amundson, A., Dee, K.T., Relego, M.R., and Borbely, C., 2013, The water-quality effects of a bulkhead installed in the Dinero mine tunnel, near Leadville, Colorado, in Annual International Mine Water Association conference — Reliable mine water technology, v. II, Golden, CO, p. 1157-1164.","productDescription":"8 p.","startPage":"1157","endPage":"1164","ipdsId":"IP-045971","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":397465,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":397464,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.imwa.info/imwaconferencesandcongresses/proceedings/278-proceedings-2013.html"}],"country":"United States","state":"Colorado","otherGeospatial":"Dinero Mine, Sugar Loaf Mining District","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.41923904418944,\n 39.226269374196264\n ],\n [\n -106.37065887451172,\n 39.226269374196264\n ],\n [\n -106.37065887451172,\n 39.268809522870185\n ],\n [\n -106.41923904418944,\n 39.268809522870185\n ],\n [\n -106.41923904418944,\n 39.226269374196264\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"II","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Brown, A.","contributorId":27825,"corporation":false,"usgs":true,"family":"Brown","given":"A.","affiliations":[],"preferred":false,"id":838657,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Figueroa, L.","contributorId":176780,"corporation":false,"usgs":false,"family":"Figueroa","given":"L.","affiliations":[],"preferred":false,"id":838658,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Wolkersdorfer, C.","contributorId":176947,"corporation":false,"usgs":false,"family":"Wolkersdorfer","given":"C.","affiliations":[],"preferred":false,"id":838659,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Walton-Day, Katherine 0000-0002-9146-6193 kwaltond@usgs.gov","orcid":"https://orcid.org/0000-0002-9146-6193","contributorId":184043,"corporation":false,"usgs":true,"family":"Walton-Day","given":"Katherine","email":"kwaltond@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":838651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mills, Taylor J. 0000-0001-7252-0521 tmills@usgs.gov","orcid":"https://orcid.org/0000-0001-7252-0521","contributorId":4658,"corporation":false,"usgs":true,"family":"Mills","given":"Taylor","email":"tmills@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":838652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amundson, Adolph","contributorId":289187,"corporation":false,"usgs":false,"family":"Amundson","given":"Adolph","email":"","affiliations":[],"preferred":false,"id":838653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dee, Kato T.","contributorId":289188,"corporation":false,"usgs":false,"family":"Dee","given":"Kato","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":838654,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Relego, Melissa R.","contributorId":289189,"corporation":false,"usgs":false,"family":"Relego","given":"Melissa","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":838655,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Borbely, Caitlin","contributorId":289190,"corporation":false,"usgs":false,"family":"Borbely","given":"Caitlin","email":"","affiliations":[],"preferred":false,"id":838656,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70114667,"text":"70114667 - 2013 - The influence of precipitation, vegetation and soil properties on the ecohydrology of sagebrush steppe rangelands on the INL site","interactions":[],"lastModifiedDate":"2014-07-03T09:55:45","indexId":"70114667","displayToPublicDate":"2013-01-01T09:52:42","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"The influence of precipitation, vegetation and soil properties on the ecohydrology of sagebrush steppe rangelands on the INL site","docAbstract":"The INL Site and other landscapes having sagebrush steppe vegetation are experiencing a simultaneous change in climate and floristics that result from increases in exotic species. 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