Groundwater provides nearly 50 percent of the Nation’s drinking water. To help protect this vital resource, the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Project assesses groundwater quality in aquifers that are important sources of drinking water (Burow and Belitz, 2014). The Rio Grande aquifer system constitutes one of the important areas being evaluated.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173047","usgsCitation":"Musgrove, MaryLynn, 2017, Groundwater quality in the Rio Grande aquifer system, southwestern United States: U.S. Geological Survey Fact Sheet 2017–3047, 4 p., https://doi.org/10.3133/fs20173047.","productDescription":"4 p.","numberOfPages":"4","ipdsId":"IP-084174","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":346610,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3047/fs20173047.pdf","text":"Report","size":"3.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3047"},{"id":346609,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3047/coverthb.jpg"}],"country":"United States","otherGeospatial":"Rio Grande Aquifer System, Southwestern United States Groundwater provides nearly 50 ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109,\n 29\n ],\n [\n -103,\n 29\n ],\n [\n -103,\n 38\n ],\n [\n -109,\n 38\n ],\n [\n -109,\n 29\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"National Water-Quality Assessment (NAWQA) Program
U.S. Geological Survey
413 National Center
12201 Sunrise Valley Drive
Reston, Virginia 20192
The Navajo (N) aquifer is an extensive aquifer and the primary source of groundwater in the 5,400-square-mile Black Mesa area in northeastern Arizona. Availability of water is an important issue in northeastern Arizona because of continued water requirements for industrial and municipal use by a growing population and because of low precipitation in the arid climate of the Black Mesa area. Precipitation in the area typically is between 6 and 16 inches per year.
The U.S. Geological Survey water-monitoring program in the Black Mesa area began in 1971 and provides information about the long-term effects of groundwater withdrawals from the N aquifer for industrial and municipal uses. This report presents results of data collected as part of the monitoring program in the Black Mesa area from January 2013 to December 2015. The monitoring program includes measurements of (1) groundwater withdrawals (pumping), (2) groundwater levels, (3) spring discharge, (4) surface-water discharge, and (5) groundwater chemistry.
In 2013, total groundwater withdrawals were 3,980 acre-feet (ft), in 2014 total withdrawals were 4,170 acre-ft, and in 2015 total withdrawals were 3,970 acre-ft. From 2013 to 2015 total withdrawals varied by less than 5 percent.
From 2014 to 2015, annually measured water levels in the Black Mesa area declined in 9 of 15 wells that were available for comparison in the unconfined areas of the N aquifer, and the median change was -0.1 feet. Water levels declined in 3 of 16 wells measured in the confined area of the aquifer. The median change for the confined area of the aquifer was 0.6 feet. From the prestress period (prior to 1965) to 2015, the median water-level change for 34 wells in both the confined and unconfined areas was -13.2 feet; the median water-level changes were -1.7 feet for 16 wells measured in the unconfined areas and -42.3 feet for 18 wells measured in the confined area.
Spring flow was measured at four springs in 2014. Flow fluctuated during the period of record for Burro Spring and Unnamed Spring near Dennehotso, but a decreasing trend was statistically significant (p<0.05) at Moenkopi School Spring and Pasture Canyon Spring. Discharge at Burro Spring has remained relatively constant since it was first measured in the 1980s and discharge at Unnamed Spring near Dennehotso has fluctuated for the period of record. Trend analysis for discharge at Moenkopi and Pasture Canyon Springs yielded a slope significantly different (p<0.05) from zero.
Continuous records of surface-water discharge in the Black Mesa area were collected from streamflow-gaging stations at the following sites: Moenkopi Wash at Moenkopi 09401260 (1976 to 2015), Dinnebito Wash near Sand Springs 09401110 (1993 to 2015), Polacca Wash near Second Mesa 09400568 (1994 to 2015), and Pasture Canyon Springs 09401265 (2004 to 2015). Median winter flows (November through February) of each water year were used as an index of the amount of groundwater discharge at the above-named sites. For the period of record of each streamflow-gaging station, the median winter flows have generally remained constant, which suggests no change in groundwater discharge.
In 2014, water samples collected from four springs in the Black Mesa area were analyzed for selected chemical constituents, and the results were compared with previous analyses. Dissolved solids, chloride, and sulfate concentrations increased at Moenkopi School Spring during the more than 25 years of record at that site. Concentrations of dissolved solids, chloride, and sulfate at Pasture Canyon Spring have not varied significantly (p>0.05) since the early 1980s, and there is no increasing or decreasing trend in those data. Concentrations of dissolved solids, chloride, and sulfate at Burro Spring and Unnamed Spring near Dennehotso have varied for the period of record, but there is no increasing or decreasing statistical trend in the data.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171127","collaboration":"Prepared in cooperation with the Navajo Nation and the Arizona Department of Water Resources","usgsCitation":"Macy, J.P., and Mason, J.P., 2017, Groundwater, surface-water, and water-chemistry data, Black Mesa area, northeastern Arizona—2013–2015: U.S. Geological Survey Open-File Report 2017–1127, 49 p., https://doi.org/10.3133/ofr20171127.","productDescription":"v., 49 p.","numberOfPages":"58","onlineOnly":"Y","ipdsId":"IP-083213","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":349866,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1127/coverthb.jpg"},{"id":349867,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1127/ofr20171127.pdf","text":"Report","size":"2.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1127"}],"country":"United States","state":"Arizona","otherGeospatial":"Black Mesa area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.5,\n 35.5\n ],\n [\n -109.5,\n 35.5\n ],\n [\n -109.5,\n 37\n ],\n [\n -111.5,\n 37\n ],\n [\n -111.5,\n 35.5\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director,
Arizona Water Science Center
U.S. Geological Survey
520 N. Park Avenue
Tucson, AZ 85719
Groundwater provides nearly 50 percent of the Nation’s drinking water. To help protect this vital resource, the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Project assesses groundwater quality in aquifers that are important sources of drinking water (Burow and Belitz, 2014). The Cambrian-Ordovician aquifer system constitutes one of the important areas being evaluated.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173056","usgsCitation":"Stackelberg, Paul, 2017, Groundwater quality in the Cambrian-Ordovician aquifer system, midwestern United States: U.S. Geological Survey Fact Sheet 2017–3056, 4 p., https://doi.org/10.3133/fs20173056.","productDescription":"4 p.","numberOfPages":"4","ipdsId":"IP-082365","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":346612,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3056/fs20173056.pdf","text":"Report","size":"4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3056"},{"id":346611,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3056/coverthb.jpg"}],"country":"United States","state":"Illinois, Indiana, Iowa, Michigan, Minnesota, Missouri, Wisconsin","otherGeospatial":"Cambrian-Ordovician Aquifer System","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.52587890625,\n 38.54816542304656\n ],\n [\n -83.671875,\n 38.54816542304656\n ],\n [\n -83.671875,\n 46.66451741754235\n ],\n [\n -96.52587890625,\n 46.66451741754235\n ],\n [\n -96.52587890625,\n 38.54816542304656\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"National Water-Quality Assessment (NAWQA) Program
U.S. Geological Survey
413 National Center
12201 Sunrise Valley Drive
Reston, Virginia 20192
Groundwater provides nearly 50 percent of the Nation’s drinking water. To help protect this vital resource, the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Project assesses groundwater quality in aquifers that are important sources of drinking water (Burow and Belitz, 2014). The glacial aquifer system constitutes one of the important areas being evaluated.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173055","usgsCitation":"Stackelberg, Paul, 2017, Groundwater quality in the glacial aquifer system, United States: U.S. Geological Survey Fact Sheet 2017–3055, 4 p., https://doi.org/10.3133/fs20173055.","productDescription":"4 p.","numberOfPages":"4","ipdsId":"IP-082639","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":346613,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3055/coverthb.jpg"},{"id":346614,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3055/fs20173055.pdf","text":"Report","size":"4.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3055"}],"country":"United States","otherGeospatial":"Glacial Aquifer System","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.541015625,\n 37.579412513438385\n ],\n [\n -67.060546875,\n 37.579412513438385\n ],\n [\n -67.060546875,\n 49.210420445650286\n ],\n [\n -124.541015625,\n 49.210420445650286\n ],\n [\n -124.541015625,\n 37.579412513438385\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"National Water-Quality Assessment (NAWQA) Program
U.S. Geological Survey
413 National Center
12201 Sunrise Valley Drive
Reston, Virginia 20192
Groundwater provides nearly 50 percent of the Nation’s drinking water. To help protect this vital resource, the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Project assesses groundwater quality in aquifers that are important sources of drinking water (Burow and Belitz, 2014). The Piedmont and Blue Ridge crystalline-rock aquifers constitute one of the important areas being evaluated.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173040","usgsCitation":"Lindsey, Bruce, 2017, Groundwater quality in the Piedmont and Blue Ridge crystalline-rock aquifers, eastern United States (ver. 1.1, September 2020): U.S. Geological Survey Fact Sheet 2017–3040, 4 p., https://doi.org/10.3133/fs20173040.","productDescription":"4 p.","numberOfPages":"4","ipdsId":"IP-083351","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":378456,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2017/3040/versionHist.txt","size":"2 KB","linkFileType":{"id":2,"text":"txt"}},{"id":346605,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3040/coverthb.jpg"},{"id":346606,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3040/fs20173040_ver1.1.pdf","text":"Report","size":"4.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3040"}],"country":"United States","otherGeospatial":"Piedmont and Blue Ridge Crystalline-Rock Aquifers","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87,\n 32\n ],\n [\n -74,\n 32\n ],\n [\n -74,\n 41\n ],\n [\n -87,\n 41\n ],\n [\n -87,\n 32\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0: December 7, 2017; Version 1.1: September 16, 2020","contact":"National Water-Quality Assessment (NAWQA) Program
U.S. Geological Survey
413 National Center
12201 Sunrise Valley Drive
Reston, Virginia 20192
Although cyanotoxins released during algal blooms have become an increasing concern in surface waters across the United States, the presence of cyanotoxins in northern Michigan lakes had not been evaluated in detail. The U.S. Geological Survey and National Park Service (NPS) led a 2-year study (2012 and 2013) to determine the presence of microcystin and other algal toxins in several inland lakes at Isle Royale National Park (hereafter referred to as ISRO, Pictured Rocks National Lakeshore (hereafter referred to as PIRO), and Sleeping Bear Dunes National Lakeshore (hereafter referred to as SLBE). Samples also were collected at four sites in Lake Michigan within the SLBE. The two analytical techniques used in the study were enzyme-linked immunosorbent assays (ELISA) for microcystin, cylindrospermopsin, and saxitoxin; and liquid chromatography/tandem mass spectrometry (LC/MS/MS) for a larger suite of algal toxins. Neither cylindrospermopsin nor saxitoxin were detected in the 211 samples. Microcystin was detected in 31 percent of samples (65 of 211 samples) analyzed by the ELISA method, but no sample results exceeded the World Health Organization recreational health advisory standard for microcystin (10 micrograms per liter [µg/L]). However, about 10 percent of the samples (21 of 211 samples) that were collected from PIRO and SLBE and were analyzed by ELISA for microcystin had concentrations greater than the U.S. Environmental Protection Agency (EPA) drinking water 10-day health advisory of 0.3 µg/L for children preschool age and younger (less than 6-years old). One sample collected in 2012 from SLBE exceeded the EPA drinking water 10-day health advisory of 1.6 µg/L for school-age children through adults (6-years old and older). In 2012, the highest concentration of 2.7 µg/L was detected in Florence Lake within SLBE. Many visitors enjoy recreation in or on the water and camp in the backcountry at these national parks where the most common source of drinking water is filtered surface water.
Approximately 18 percent of the samples (39 of 211 samples) were analyzed by LC/MS/MS to confirm the ELISA results and to evaluate the samples for a larger suite of algal toxins. In general, the microcystin results between the ELISA and LC/MS/MS methods were similar; although, the ELISA results tended to be slightly higher than the summation of LC/MS/MS microcystin congeners. The slightly higher ELISA results might be because the ELISA microcystin method is reactive with the ADDA functional group common to all microcystins, and because not all microcystin congeners are included in the LC/MS/MS method. The LC/MS/MS method indicated that the congener microcystin-LR was the most frequently detected, followed by microcystin-WR and microcystin-YR.
Sixteen of the lakes included in this study also were monitored by the NPS for nutrients. Total phosphorus (TP) concentrations were, on average, highest at the ISRO lakes, whereas total nitrogen (TN) concentrations were highest at SLBE. The average annual TN:TP ratios for the 16 lakes within the national park and national lakeshores ranged from ratios of 20 to 89. Overall, results indicated a slight increase in percentage of microcystin detections with an increase in the TN:TP ratio (R-squared 0.269 and 0.340, respectively [2012 and 2013 combined dataset] derived from linear regression).
This study also indicated that even in the absence of visible algal blooms, microcystin may be present. Most microcystin concentrations did not exceed the EPA’s 10-day health advisory drinking-water benchmark. In general, these results provide a useful baseline with which to evaluate potential future changes in algal toxin concentrations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175122","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Fuller, L.M., Brennan, A.K., Fogarty, L.R., Loftin, K.A., Johnson, H.E., VanderMeulen, D.D., and Lafrancois, B.M., 2017, Detection of microcystin and other cyanotoxins in lakes at Isle Royale National Park, Pictured Rocks National Lakeshore, and Sleeping Bear Dunes National Lakeshore, northern Michigan, 2012–13: U.S. Geological Survey Scientific Investigations Report 2017–5122, 44 p., https://doi.org/10.3133/sir20175122.","productDescription":"vi, 44 p.","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-071309","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":349614,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5122/coverthb.jpg"},{"id":349615,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5122/sir20175122.pdf","text":"Report","size":"9.76 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5122"}],"country":"United States","state":"Michigan","otherGeospatial":"Isle Royale National Park, Pictured Rocks National Lakeshore, Sleeping Bear Dunes National Shoreline","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.32571411132812,\n 47.8085431415187\n ],\n [\n -88.3795166015625,\n 47.8085431415187\n ],\n [\n -88.3795166015625,\n 48.20728655738642\n ],\n [\n -89.32571411132812,\n 48.20728655738642\n ],\n [\n -89.32571411132812,\n 47.8085431415187\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.63131713867188,\n 46.417979059090115\n ],\n [\n -86.00234985351562,\n 46.417979059090115\n ],\n [\n -86.00234985351562,\n 46.693725378358955\n ],\n [\n -86.63131713867188,\n 46.693725378358955\n ],\n [\n -86.63131713867188,\n 46.417979059090115\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.17469787597656,\n 44.8281172855491\n ],\n [\n -85.79704284667969,\n 44.8281172855491\n ],\n [\n -85.79704284667969,\n 45.16509478442965\n ],\n [\n -86.17469787597656,\n 45.16509478442965\n ],\n [\n -86.17469787597656,\n 44.8281172855491\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Upper Midwest Water Science Center
U.S. Geological Survey
6520 Mercantile Way
Suite 5
Lansing, MI 48911
We report the first confirmed cases (2013–2016) of saprolegniosis caused by water mold from the genus Saprolegnia in Aanaakłiq, broad whitefish (Coregonus nasus), from the Colville River near Nuiqsut, Alaska. While this mold is known to be worldwide, these instances represent the first cases in Nuiqsut and only the second instance on a single fish on the North Slope, occurring in 1980. We describe the collaborative work on monitoring this emerging disease. Because fish constitute a critical component of the diet in Nuiqsut and fishing is an integral part of Inupiaq nutritional and cultural subsistence activities overall, individual subsistence fishers, local governmental entities, and Alaska Native organizations representing Nuiqsut requested an examination of affected fish and information on possible drivers of this emerging disease. The collaborative work described here ranges from recording fishermen observations, acquiring fish and mold specimens, histopathology, and molecular identification of the mold. This work, not currently grant-funded, begins with Native observation that incorporates western scientific methods and involves local, state, and federal departments as well as for-profit and non-profit organizations. Additionally, we report the more recent (2016) observation of this disease in a second species of whitefish, Pikuktuuq, humpback whitefish (Coregonus pidschain).
","language":"English","publisher":"Elsevier","doi":"10.1016/j.polar.2017.07.002","usgsCitation":"Sformo, T.L., Adams, B., Seigle, J.C., Ferguson, J.A., Purcell, M.K., Stimmelmayr, R., Welch, J.H., Ellis, L.M., Leppi, J.C., and George, J., 2017, Observations and first reports of saprolegniosis in Aanaakłiq, broad whitefish (Coregonus nasus), from the Colville River near Nuiqsut, Alaska: Polar Science, v. 14, p. 78-82, https://doi.org/10.1016/j.polar.2017.07.002.","productDescription":"5 p.","startPage":"78","endPage":"82","ipdsId":"IP-084054","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":488741,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.polar.2017.07.002","text":"Publisher Index Page"},{"id":349689,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Nuiqsut","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -153.39111328124997,\n 69.6914318644638\n ],\n [\n -148.86474609374997,\n 69.6914318644638\n ],\n [\n -148.86474609374997,\n 70.8698912672041\n ],\n [\n -153.39111328124997,\n 70.8698912672041\n ],\n [\n -153.39111328124997,\n 69.6914318644638\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60faf5e4b06e28e9c22a00","contributors":{"authors":[{"text":"Sformo, Todd L.","contributorId":201120,"corporation":false,"usgs":false,"family":"Sformo","given":"Todd","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":724384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Billy","contributorId":201121,"corporation":false,"usgs":false,"family":"Adams","given":"Billy","email":"","affiliations":[],"preferred":false,"id":724385,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seigle, John C.","contributorId":201122,"corporation":false,"usgs":false,"family":"Seigle","given":"John","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":724386,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ferguson, Jayde A.","contributorId":201123,"corporation":false,"usgs":false,"family":"Ferguson","given":"Jayde","email":"","middleInitial":"A.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":724387,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Purcell, Maureen K. 0000-0003-0154-8433 mpurcell@usgs.gov","orcid":"https://orcid.org/0000-0003-0154-8433","contributorId":168475,"corporation":false,"usgs":true,"family":"Purcell","given":"Maureen","email":"mpurcell@usgs.gov","middleInitial":"K.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":724383,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stimmelmayr, Raphaela","contributorId":201124,"corporation":false,"usgs":false,"family":"Stimmelmayr","given":"Raphaela","email":"","affiliations":[],"preferred":false,"id":724388,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Welch, Joseph H.","contributorId":201125,"corporation":false,"usgs":false,"family":"Welch","given":"Joseph","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":724389,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ellis, Leah M.","contributorId":201126,"corporation":false,"usgs":false,"family":"Ellis","given":"Leah","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":724390,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Leppi, Jason C.","contributorId":201127,"corporation":false,"usgs":false,"family":"Leppi","given":"Jason","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":724391,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"George, John C.","contributorId":201128,"corporation":false,"usgs":false,"family":"George","given":"John C.","affiliations":[],"preferred":false,"id":724392,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70207060,"text":"70207060 - 2017 - Assessing the global distribution of river fisheries harvest: A systematic map protocol","interactions":[],"lastModifiedDate":"2020-12-08T17:49:51.927554","indexId":"70207060","displayToPublicDate":"2017-12-04T15:55:06","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5897,"text":"Environmental Evidence","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the global distribution of river fisheries harvest: A systematic map protocol","docAbstract":"Although surface freshwater comprises < 0.01% of the total water volume of earth, freshwater inland capture fisheries and aquaculture represent 40% of the global reported finfish harvest. While the social, economic, and ecological importance of inland fish and fisheries is difficult to overstate, they are often undervalued and underappreciated. Accurate information about these highly dispersed fisheries is inherently difficult to acquire, often unreported, and not collected in a standardized format globally. A standardized river fishery database is needed for managing aquatic systems as well as for defining relevant development policies. Here, we describe our methodology to search, identify, and describe available river fisheries information to create a harmonized global database of river fisheries harvest. This database will provide the first global database of spatially and temporally explicit river fisheries data. The database can be used to identify locations, hotspots of data collection, and gaps in existing knowledge and will be especially important to inform studies and management at larger spatial scales (i.e., watershed, regional, or global scales). This database will also be critical for developing fish biomass models for rivers, which can provide managers with information critical for decision-making, such as improved valuation methods for river fish and fisheries.
This systematic map protocol describes the methodology to search, identify, and describe available information on river fish and fisheries across the globe. We define river fisheries as “both capture and aquaculture of river finfish species for food, income, or recreation”. River fish species are those finfish that live part, or all of their lives in rivers. The searches will be conducted for the period from 1950 to present using bibliographic databases and grey literature sources. To identify relevant evidence, pre-defined inclusion and exclusion criteria will be used to screen articles at title, abstract, and full text. A searchable database containing extracted meta-data from relevant included studies will be developed and presented as a geodatabase. The final systematic map will consist of a descriptive narrative report of the distribution and content of river fish literature including a geodatabase of available information.
","language":"English","publisher":"Springer Nature","doi":"10.1186/s13750-017-0107-x","usgsCitation":"Romulo, C., Basher, Z., Lynch, A., Kao, Y., and Taylor, W., 2017, Assessing the global distribution of river fisheries harvest: A systematic map protocol: Environmental Evidence, v. 6, 29, 10 p., https://doi.org/10.1186/s13750-017-0107-x.","productDescription":"29, 10 p.","ipdsId":"IP-085655","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":461325,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s13750-017-0107-x","text":"Publisher Index Page"},{"id":369924,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","noUsgsAuthors":false,"publicationDate":"2017-12-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Romulo, Chelsie 0000-0003-1612-1969","orcid":"https://orcid.org/0000-0003-1612-1969","contributorId":221032,"corporation":false,"usgs":false,"family":"Romulo","given":"Chelsie","email":"","affiliations":[],"preferred":false,"id":776684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Basher, Zeenatul 0000-0002-6439-8324 zbasher@usgs.gov","orcid":"https://orcid.org/0000-0002-6439-8324","contributorId":48118,"corporation":false,"usgs":true,"family":"Basher","given":"Zeenatul","email":"zbasher@usgs.gov","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":776685,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lynch, Abigail 0000-0001-8449-8392 ajlynch@usgs.gov","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":169460,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","email":"ajlynch@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":776686,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kao, Yu-Chun 0000-0001-5552-909X ykao@usgs.gov","orcid":"https://orcid.org/0000-0001-5552-909X","contributorId":192240,"corporation":false,"usgs":true,"family":"Kao","given":"Yu-Chun","email":"ykao@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":776687,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taylor, William W.","contributorId":49735,"corporation":false,"usgs":false,"family":"Taylor","given":"William W.","affiliations":[],"preferred":false,"id":776688,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70194533,"text":"70194533 - 2017 - A pesticide paradox: Fungicides indirectly increase fungal infections","interactions":[],"lastModifiedDate":"2017-12-04T11:01:24","indexId":"70194533","displayToPublicDate":"2017-12-04T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"A pesticide paradox: Fungicides indirectly increase fungal infections","docAbstract":"There are many examples where the use of chemicals have had profound unintended consequences, such as fertilizers reducing crop yields (paradox of enrichment) and insecticides increasing insect pests (by reducing natural biocontrol). Recently, the application of agrochemicals, such as agricultural disinfectants and fungicides, has been explored as an approach to curb the pathogenic fungus, Batrachochytrium dendrobatidis (Bd), which is associated with worldwide amphibian declines. However, the long-term, net effects of early-life exposure to these chemicals on amphibian disease risk have not been thoroughly investigated. Using a combination of laboratory experiments and analysis of data from the literature, we explored the effects of fungicide exposure on Bd infections in two frog species. Extremely low concentrations of the fungicides azoxystrobin, chlorothalonil, and mancozeb were directly toxic to Bd in culture. However, estimated environmental concentrations of the fungicides did not reduce Bd on Cuban tree frog (Osteopilus septentrionalis) tadpoles exposed simultaneously to any of these fungicides and Bd, and fungicide exposure actually increased Bd-induced mortality. Additionally, exposure to any of these fungicides as tadpoles resulted in higher Bd abundance and greater Bd-induced mortality when challenged with Bd post-metamorphosis, an average of 71 d after their last fungicide exposure. Analysis of data from the literature revealed that previous exposure to the fungicide itraconazole, which is commonly used to clear Bd infections, made the critically endangered booroolong frog (Litoria booroolongensis) more susceptible to Bd. Finally, a field survey revealed that Bd prevalence was positively associated with concentrations of fungicides in ponds. Although fungicides show promise for controlling Bd, these results suggest that, if fungicides do not completely eliminate Bd or if Bd recolonizes, exposure to fungicides has the potential to do more harm than good. To ensure that fungicide applications have the intended consequence of curbing amphibian declines, researchers must identify which fungicides do not compromise the pathogen resistance mechanisms of amphibians.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1607","usgsCitation":"Rohr, J.R., Brown, J., Battaglin, W.A., McMahon, T.A., and Reylea, R.A., 2017, A pesticide paradox: Fungicides indirectly increase fungal infections: Ecological Applications, v. 27, no. 8, p. 2290-2302, https://doi.org/10.1002/eap.1607.","productDescription":"13 p.","startPage":"2290","endPage":"2302","ipdsId":"IP-079804","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":469247,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5711531","text":"External Repository"},{"id":349651,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-29","publicationStatus":"PW","scienceBaseUri":"5a60faf5e4b06e28e9c22a0a","contributors":{"authors":[{"text":"Rohr, Jason R.","contributorId":18502,"corporation":false,"usgs":true,"family":"Rohr","given":"Jason","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":724345,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Jenise","contributorId":201101,"corporation":false,"usgs":false,"family":"Brown","given":"Jenise","email":"","affiliations":[],"preferred":false,"id":724346,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Battaglin, William A. 0000-0001-7287-7096 wbattagl@usgs.gov","orcid":"https://orcid.org/0000-0001-7287-7096","contributorId":1527,"corporation":false,"usgs":true,"family":"Battaglin","given":"William","email":"wbattagl@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":724344,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McMahon, Teagan A.","contributorId":201102,"corporation":false,"usgs":false,"family":"McMahon","given":"Teagan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":724347,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reylea, Rick A.","contributorId":201103,"corporation":false,"usgs":false,"family":"Reylea","given":"Rick","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":724348,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203222,"text":"70203222 - 2017 - Simulated juvenile salmon growth and phenology respond to altered thermal regimes and stream network shape","interactions":[],"lastModifiedDate":"2019-04-29T15:40:06","indexId":"70203222","displayToPublicDate":"2017-12-01T15:31:47","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Simulated juvenile salmon growth and phenology respond to altered thermal regimes and stream network shape","docAbstract":"It is generally accepted that climate change will stress coldwater species such as Pacific salmon. However, it is unclear what aspect of altered thermal regimes (e.g., warmer winters, springs, summers, or increased variability) will have the greatest effect, and what role the spatial properties of river networks play. Thermally diverse habitats may afford protection from climate change by providing opportunities for aquatic organisms to find and use habitats with optimal conditions for growth. We hypothesized that climate‐altered thermal regimes will change growth and timing of life history events such as emergence or migration but that changes will be moderated in topologically complex stream networks where opportunities to thermoregulate are more readily available to mobile animals. Because climate change effects on populations are spatially variable and contingent upon physiological optima, assessments of risk must take a spatially explicit approach. We developed a spatially structured individual‐based model for Chinook Salmon (Oncorhynchus tshawytscha) in which movement decisions and growth were governed by water temperature and conspecific density. We evaluated growth and phenology (timing of egg emergence and smolting) under a variety of thermal regimes (each having a different minimum, rate of warming, maximum, and variability) and in three network shapes of increasing spatial complexity. Across networks, fish generally grew faster and were capable of smolting earlier in warmer scenarios where water temperatures experienced by fish were closer to optimal; however, growth decreased for some fish. We found that salmon size and smolt date responded more strongly to warmer springs and summers than to warmer winters or increased variability. Fish in the least complex network grew faster and were ready to smolt earlier than fish in the more spatially complex network shapes in the contemporary thermal regime; patterns were similar but less clear in warmer thermal regimes. Our results demonstrate that network topology may influence how fish respond to thermal landscapes, and this information will be useful for incorporating a spatiotemporal context into conservation decisions that promote long‐term viability of salmon in a changing climate.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2052","usgsCitation":"Fullerton, A.H., Burke, B.J., Lawler, J.J., Torgersen, C.E., Ebersole, J.L., and Leibowitz, S.G., 2017, Simulated juvenile salmon growth and phenology respond to altered thermal regimes and stream network shape: Ecosphere, v. 8, no. 12, Article e02052: 23 p., https://doi.org/10.1002/ecs2.2052.","productDescription":"Article e02052: 23 p.","ipdsId":"IP-080351","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469248,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2052","text":"Publisher Index Page"},{"id":363346,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"12","noUsgsAuthors":false,"publicationDate":"2017-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Fullerton, Aimee H.","contributorId":146936,"corporation":false,"usgs":false,"family":"Fullerton","given":"Aimee","email":"","middleInitial":"H.","affiliations":[{"id":12641,"text":"NOAA NMFS","active":true,"usgs":false}],"preferred":false,"id":761757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burke, Brian J.","contributorId":196656,"corporation":false,"usgs":false,"family":"Burke","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":761758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawler, Joshua J.","contributorId":73327,"corporation":false,"usgs":false,"family":"Lawler","given":"Joshua","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":761759,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Torgersen, Christian E. 0000-0001-8325-2737 ctorgersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":146935,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian","email":"ctorgersen@usgs.gov","middleInitial":"E.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":761760,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ebersole, Joseph L.","contributorId":146938,"corporation":false,"usgs":false,"family":"Ebersole","given":"Joseph","email":"","middleInitial":"L.","affiliations":[{"id":12657,"text":"EPA NEIC","active":true,"usgs":false}],"preferred":false,"id":761761,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leibowitz, Scott G.","contributorId":156432,"corporation":false,"usgs":false,"family":"Leibowitz","given":"Scott","email":"","middleInitial":"G.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":761762,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70192271,"text":"ds1070 - 2017 - Single-beam bathymetry data collected in 2015 from Grand Bay, Alabama-Mississippi","interactions":[],"lastModifiedDate":"2025-05-13T16:26:15.809543","indexId":"ds1070","displayToPublicDate":"2017-12-01T12:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1070","title":"Single-beam bathymetry data collected in 2015 from Grand Bay, Alabama-Mississippi","docAbstract":"As part of the Sea-level and Storm Impacts on Estuarine Environments and Shorelines (SSIEES) project, scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted a single-beam bathymetry survey within the estuarine, open-bay, and tidal creek environments of Grand Bay, Alabama-Mississippi, from May to June 2015. The goal of the SSIEES project is to assess the physical controls of sediment and material exchange between wetlands and estuarine environments along the northern Gulf of Mexico, specifically Grand Bay, Alabama-Mississippi; Vermilion Bay, Louisiana; and, along the east coast, within Chincoteague Bay, Virginia-Maryland. The data described in this report provide baseline bathymetric information for future research investigating wetland-marsh evolution, sediment transport, erosion, recent and long-term geomorphic change, and can also support the modeling of changes in response to restoration and storm impacts. The survey area encompasses more than 40 square kilometers of Grand Bay’s waters.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1070","usgsCitation":"DeWitt, N.T., Stalk, C.A., Smith, C.G., Locker, S.D., Fredericks, J.J., McCloskey, T.A., and Wheaton, C.J., 2017, Single-beam bathymetry data collected in 2015 from Grand Bay, Alabama-Mississippi: U.S. Geological Survey Data Series 1070, https://doi.org/10.3133/ds1070.","productDescription":"HTML Document; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-081056","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":349002,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1070","text":"Report HTML","linkFileType":{"id":5,"text":"html"},"description":"DS 1070"},{"id":349004,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7NP22M2","text":"USGS data release","description":"USGS data release","linkHelpText":"Single-Beam Bathymetry Data Collected in 2015 from Grand Bay, Mississippi/Alabama"},{"id":349001,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1070/coverthb.jpg"}],"country":"United States","state":"Alabama, Mississippi","otherGeospatial":"Grand Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.41487884521484,\n 30.328434677542585\n ],\n [\n -88.30467224121092,\n 30.328434677542585\n ],\n [\n -88.30467224121092,\n 30.419960083267238\n ],\n [\n -88.41487884521484,\n 30.419960083267238\n ],\n [\n -88.41487884521484,\n 30.328434677542585\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"St. Petersburg Coastal and Marine Science Center
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St. Petersburg, FL 33701
Climatic flux together with anthropogenic changes in land use and land cover pose major threats to wildlife, but our understanding of their combined impacts is limited. In arid southwestern North America, ferruginous pygmy-owls (Glaucidium brasilianum) are of major conservation concern due to marked declines in abundance linked to changes in land use and land cover during the past century. We reassessed abundance trends of pygmy-owls in northern Mexico across 17 years (2000-2016), which included data gathered over four additional years since inferences were last reported. We also assessed spatiotemporal trends in territory occupancy (n = 151 territories) across a much larger area that spanned 14 watershed regions in northern Mexico and adjacent Arizona over 16 years (2001-2016). Finally, we evaluated the influence of temperature, precipitation, land-use and land-cover change, spatial variation in local habitat quality, and interactions among these factors on occupancy dynamics. Large increases in abundance in 2015 and 2016 eliminated evidence of population declines that was described recently (e.g., Flesch 2014a) based on two modeling approaches. Moreover, there was little evidence of systematic temporal declines in territory occupancy across the broader bi-national study area, or for population units in Mexico and the adjacent U.S. Instead, occupancy dynamics varied at smaller spatial scales among watershed regions. We found that subpopulations in six regions declined or marginally declined across time, including two in the U.S. that declined to extinction; subpopulations in six other regions were stable; and those in two regions increased or marginally increased. Although variation in territory occupancy was associated with changes in temperature, precipitation, anthropogenic disturbance, and local differences in habitat quality, evidence for interactions among these factors was much greater than that for additive relationships. Territory occupancy declined with rising minimum air temperatures during winter at a much greater rate in disturbed landscapes compared to those with little to no anthropogenic disturbance. Moreover, occupancy increased with annual precipitation at increasingly positive rates as local territory quality increased. Such results suggest a complex set of processes simultaneously drove changes in territory occupancy, likely by influencing food abundance and the quantity, connectivity, and quality of habitat. Management focused on 1) protecting high-quality habitat, 2) enhancing and creating habitat (e.g., nest-cavity augmentation, riparian restoration), 3) reducing deleterious changes in land use and land cover, and 4) increasing landscape connectivity through both passive (e.g., landscape planning and restoration) and active (e.g., facilitated dispersal, translocations) techniques will enhance recovery prospects for pygmyowls.
","language":"English","publisher":"University of Arizona","collaboration":"U.S. Fish and Wildlife Service","usgsCitation":"Flesch, A., Nagler, P.L., Jarchow, C., and Alexander, R.B., 2017, Population trends, extinction risk, and conservation guidelines for ferruginous pygmy-owls in the Sonoran Desert, 38 p.","productDescription":"38 p.","ipdsId":"IP-088307","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":498555,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","otherGeospatial":"Sonoran Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -112.92108833595975,\n 32.77933725310251\n ],\n [\n -112.92108833595975,\n 30.54552222291086\n ],\n [\n -109.9911552778319,\n 30.54552222291086\n ],\n [\n -109.9911552778319,\n 32.77933725310251\n ],\n [\n -112.92108833595975,\n 32.77933725310251\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Flesch, Aaron","contributorId":213954,"corporation":false,"usgs":false,"family":"Flesch","given":"Aaron","affiliations":[{"id":38937,"text":"School of Natural Resources and the Environment, University of Arizona, The Desert Laboratory - 1675 Anklam Rd., Tucson, AZ 85745 flesch@email.arizona.edu","active":true,"usgs":false}],"preferred":false,"id":758803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":758802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jarchow, Christopher 0000-0002-0424-4104 cjarchow@usgs.gov","orcid":"https://orcid.org/0000-0002-0424-4104","contributorId":196069,"corporation":false,"usgs":true,"family":"Jarchow","given":"Christopher","email":"cjarchow@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":758804,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alexander, Richard B. 0000-0001-9166-0626 ralex@usgs.gov","orcid":"https://orcid.org/0000-0001-9166-0626","contributorId":541,"corporation":false,"usgs":true,"family":"Alexander","given":"Richard","email":"ralex@usgs.gov","middleInitial":"B.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":953605,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202259,"text":"70202259 - 2017 - A paleomagnetic age estimate for the draining of ancient Lake Alamosa, San Luis Valley, south-central Colorado, U.S.A.","interactions":[],"lastModifiedDate":"2019-02-19T11:07:34","indexId":"70202259","displayToPublicDate":"2017-12-01T10:47:40","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3310,"text":"Rocky Mountain Geology","active":true,"publicationSubtype":{"id":10}},"title":"A paleomagnetic age estimate for the draining of ancient Lake Alamosa, San Luis Valley, south-central Colorado, U.S.A.","docAbstract":"In September 2009, a 99.4-m (326-ft) deep well was drilled proximal to Great Sand Dunes National Park and Preserve to explore the history and subsurface geology of the San Luis Valley, Colorado. Of particular interest was deciphering the evolution of ancient Lake Alamosa, which filled much of the San Luis Valley in the Pliocene and Pleistocene. Thick intervals of massive clay, recovered at the well (BP-3-USGS [U.S. Geological Survey]), represent deposition as part of this extensive lacustrine environment. Oriented paleomagnetic samples from the BP-3-USGS core allow for estimation of sediment deposition ages. Paleomagnetic analyses show magnetic reversals correlated to the Brunhes-Matuyama boundary (0.78 Ma) at about the 75.2-m (247-ft) depth and the start of the Jaramillo subchron (1.07 Ma) at the 90.9-m (298-ft) depth. These paleomagnetic age ties imply an average sediment accumulation rate of 0.10 mm/yr for the sediments above the Brunhes-Matuyama reversal and 0.05 mm/ yr for the sediments below the reversal. The relatively low average sedimentation rate (0.05 mm/yr) from below the reversal roughly corresponds with an observed lithological change at 70.7 m (232 ft) from deep-water lacustrine clays below the reversal, to increasing littoral and basin-margin deposits above. Magnetic reversal ages provide estimates for when the sedimentary environment at the well site shifted away from a deep-water lacustrine-dominated system to an alluvial system. This shift in depositional environment may correspond to the draining of Lake Alamosa and indicate when the San Luis Valley was incorporated into the downstream Rio Grande drainage network. The last extensive deposit of lacustrine clay at the well site is encountered at the 36.3–40.8 m (119–134 ft) depth, which corresponds to 423–376 ka. A lack of broadly distributed lacustrine clays above this layer suggests that Rio Grande incorporation and onset of Lake Alamosa draining occurred about 376 ka, similar to lake drainage estimates from 3He cosmogenic nuclide dating of Lake Alamosa and Rio Grande Gorge landforms. As such, our analyses suggest that the San Luis Valley likely became incorporated into the Rio Grande approximately 376 ka. Local, shallower lake systems appear to have existed at the well site until about 250 ka. This may corroborate the results of previous works that propose the drainage of Lake Alamosa began about 400 ka and was ultimately finished by 200 ka.
","language":"English","publisher":"Department of Geology and Geophysics at the University of Wyoming","publisherLocation":"Laramie, Wyoming","doi":"10.24872/rmgjournal.52.2.107","usgsCitation":"Davis, J.K., Hudson, M., and Grauch, V.J., 2017, A paleomagnetic age estimate for the draining of ancient Lake Alamosa, San Luis Valley, south-central Colorado, U.S.A.: Rocky Mountain Geology, v. 52, no. 2, p. 107-117, https://doi.org/10.24872/rmgjournal.52.2.107.","productDescription":"11 p.","startPage":"107","endPage":"117","ipdsId":"IP-090187","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":438130,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F73R0RT0","text":"USGS data release","linkHelpText":"Data release for a paleomagnetic age estimate for the drainage of ancient Lake Alamosa, San Luis Valley, southwestern Colorado"},{"id":361331,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Lake Alamosa, San Luis Valley","volume":"52","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Davis, Joshua K.","contributorId":138996,"corporation":false,"usgs":false,"family":"Davis","given":"Joshua","email":"","middleInitial":"K.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":757533,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hudson, Mark R. 0000-0003-0338-6079 mhudson@usgs.gov","orcid":"https://orcid.org/0000-0003-0338-6079","contributorId":1236,"corporation":false,"usgs":true,"family":"Hudson","given":"Mark R.","email":"mhudson@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":757534,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grauch, V. J. S. 0000-0002-0761-3489 tien@usgs.gov","orcid":"https://orcid.org/0000-0002-0761-3489","contributorId":886,"corporation":false,"usgs":true,"family":"Grauch","given":"V.","email":"tien@usgs.gov","middleInitial":"J. S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":757535,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70199082,"text":"70199082 - 2017 - A diatom voucher flora from selected southeast rivers (USA)","interactions":[],"lastModifiedDate":"2018-09-04T10:23:31","indexId":"70199082","displayToPublicDate":"2017-12-01T10:14:12","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3081,"text":"Phytotaxa","active":true,"publicationSubtype":{"id":10}},"title":"A diatom voucher flora from selected southeast rivers (USA)","docAbstract":"This flora is intended to serve as an image voucher for samples analyzed for the U.S. Geological Survey Southeast Stream Quality Assessment (SESQA). The SESQA study included measurement of watershed and water quality parameters to determine the factors that have the greatest potential to alter biotic condition. Algal samples were collected at 108 sites in 2014, from streams representing gradients in chemical and physical alteration across the southeast region. More than 375 taxa were identified during analysis for species composition and abundance. This manuscript documents the flora with light micrographs of specimens representative of their morphologic range. We define “voucher flora” as images of specimens and the names applied to those specimens for a given project. Taxonomic vouchers from federal programs have generally not been made public, yet they are a salient element of a well-documented species dataset, particularly for long-term studies. This study is part of a broader effort to improve and encourage taxonomic consistency in federal, state and local programs by accessible identification resources and inter-lab comparisons.
Loss of small mineral particles from soil has been suggested as a process that can produce net isotopic fractionation in the remaining soil. We extracted water dispersible colloids (WDCs) from bulk soil collected at the Susquehanna/Shale Hills Critical Zone Observatory (SSHO) and measured their Fe isotopic composition for comparison to published data from the site. The goal was to explain soil δ56Fe values that become lighter as Fe is lost from soil. The range of δ56Fe values for WDCs was 0.22 to 0.59 ‰, barely intersecting the value of ~0.8 ± 0.3‰ predicted by mass balance for particulate Fe loss by a previous study. The WDCs extracted likely represent a mixture of unfractionated Fe inherited from shale minerals and secondary Fe fractionated by weathering zone processes. Thus, although the WDC compositions do not confirm small mineral particle losses as causing overall Fe isotope fractionation in SSHO soils, they are compatible with that interpretation.
","conferenceTitle":"Proceedings of the 12th International Symposium on Applied Isotope Geochemistry (AIG-12)","conferenceDate":"September 17-22, 2017","conferenceLocation":"Copper Mountain Resort, Colorado","language":"English","publisher":"Critical Zone Observatory","usgsCitation":"Bern, C.R., Yesavage, T., and Pribil, M., 2017, Iron isotope systematics of shale-derived soils as potentially influenced by small mineral particle loss, Proceedings of the 12th International Symposium on Applied Isotope Geochemistry (AIG-12), Copper Mountain Resort, Colorado, September 17-22, 2017.","ipdsId":"IP-088324","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":362367,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":362366,"rank":1,"type":{"id":1,"text":"Abstract"},"url":"https://criticalzone.org/shale-hills/publications/pub/bern-et-al-2017-iron-isotope-systematics-of-shale-derived-soils-as-potentia/"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bern, Carleton R. 0000-0002-8980-1781 cbern@usgs.gov","orcid":"https://orcid.org/0000-0002-8980-1781","contributorId":166816,"corporation":false,"usgs":true,"family":"Bern","given":"Carleton","email":"cbern@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":708587,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yesavage, Tiffany","contributorId":175456,"corporation":false,"usgs":false,"family":"Yesavage","given":"Tiffany","affiliations":[{"id":27571,"text":"USGS volunteer","active":true,"usgs":false}],"preferred":false,"id":708588,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pribil, Michael J. 0000-0003-4859-8673 mpribil@usgs.gov","orcid":"https://orcid.org/0000-0003-4859-8673","contributorId":141158,"corporation":false,"usgs":true,"family":"Pribil","given":"Michael","email":"mpribil@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":708589,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70236150,"text":"70236150 - 2017 - Evidence that recent warming is reducing upper Colorado River flows","interactions":[],"lastModifiedDate":"2022-08-30T13:30:45.991635","indexId":"70236150","displayToPublicDate":"2017-12-01T08:29:28","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1421,"text":"Earth Interactions","active":true,"publicationSubtype":{"id":10}},"title":"Evidence that recent warming is reducing upper Colorado River flows","docAbstract":"The upper Colorado River basin (UCRB) is one of the primary sources of water for the western United States, and increasing temperatures likely will elevate the risk of reduced water supply in the basin. Although variability in water-year precipitation explains more of the variability in water-year UCRB streamflow than water-year UCRB temperature, since the late 1980s, increases in temperature in the UCRB have caused a substantial reduction in UCRB runoff efficiency (the ratio of streamflow to precipitation). These reductions in flow because of increasing temperatures are the largest documented temperature-related reductions since record keeping began. Increases in UCRB temperature over the past three decades have resulted in a mean UCRB water-year streamflow departure of −1306 million m3 (or −7% of mean water-year streamflow). Additionally, warm-season (April through September) temperature has had a larger effect on variability in water-year UCRB streamflow than the cool-season (October through March) temperature. The greater contribution of warm-season temperature, relative to cool-season temperature, to variability of UCRB flow suggests that evaporation or snowmelt, rather than changes from snow to rain during the cool season, has driven recent reductions in UCRB flow. It is expected that as warming continues, the negative effects of temperature on water-year UCRB streamflow will become more evident and problematic.
","language":"English","publisher":"American Meteorological Society","doi":"10.1175/EI-D-17-0007.1","usgsCitation":"McCabe, G.J., Wolock, D.M., Pederson, G.T., Woodhouse, C.A., and McAfee, S., 2017, Evidence that recent warming is reducing upper Colorado River flows: Earth Interactions, v. 21, no. 10, p. 1-14, https://doi.org/10.1175/EI-D-17-0007.1.","productDescription":"14 p.","startPage":"1","endPage":"14","ipdsId":"IP-082888","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":469255,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/ei-d-17-0007.1","text":"Publisher Index Page"},{"id":405898,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah, Wyoming","otherGeospatial":"upper Colorado River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.90673828125,\n 36.52288052805137\n ],\n [\n -111.796875,\n 36.48755716938576\n ],\n [\n -108.65478515625,\n 35.40696093270201\n ],\n [\n -108.28125,\n 35.53222622770337\n ],\n [\n -107.09472656249999,\n 36.56260003738545\n ],\n [\n -106.41357421875,\n 38.13455657705411\n ],\n [\n -105.5126953125,\n 39.57182223734374\n ],\n [\n -105.62255859375,\n 40.22921818870117\n ],\n [\n -106.74316406249999,\n 41.47566020027821\n ],\n [\n -108.017578125,\n 43.03677585761058\n ],\n [\n -109.62158203125,\n 43.50075243569041\n ],\n [\n -110.478515625,\n 43.54854811091286\n ],\n [\n -110.80810546875,\n 43.29320031385282\n ],\n [\n -110.93994140625,\n 41.672911819602085\n ],\n [\n -111.15966796875,\n 41.42625319507269\n ],\n [\n -111.46728515624999,\n 40.613952441166596\n ],\n [\n -112.0166015625,\n 39.58875727696545\n ],\n [\n -112.30224609374999,\n 38.09998264736481\n ],\n [\n -112.32421875,\n 37.125286284966805\n ],\n [\n -111.90673828125,\n 36.52288052805137\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","issue":"10","noUsgsAuthors":false,"publicationDate":"2017-12-08","publicationStatus":"PW","contributors":{"authors":[{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":200854,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory","email":"gmccabe@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":850257,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolock, David M. 0000-0002-6209-938X","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":219213,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":850258,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pederson, Gregory T. 0000-0002-6014-1425 gpederson@usgs.gov","orcid":"https://orcid.org/0000-0002-6014-1425","contributorId":3106,"corporation":false,"usgs":true,"family":"Pederson","given":"Gregory","email":"gpederson@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":850259,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woodhouse, Connie A.","contributorId":187601,"corporation":false,"usgs":false,"family":"Woodhouse","given":"Connie","email":"","middleInitial":"A.","affiliations":[{"id":32413,"text":"University of Arizona, Tucson, AZ, USA, 85721","active":true,"usgs":false}],"preferred":false,"id":850260,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McAfee, Stephanie A.","contributorId":167115,"corporation":false,"usgs":false,"family":"McAfee","given":"Stephanie A.","affiliations":[{"id":24618,"text":"Department of Geography, University of Nevada, Reno, Reno, NV","active":true,"usgs":false}],"preferred":false,"id":850261,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70193215,"text":"70193215 - 2017 - USGS assessment of water and proppant requirements and water production associated with undiscovered petroleum in the Bakken and Three Forks Formations","interactions":[],"lastModifiedDate":"2017-12-18T12:37:05","indexId":"70193215","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"USGS assessment of water and proppant requirements and water production associated with undiscovered petroleum in the Bakken and Three Forks Formations","docAbstract":"The U.S. Geological Survey (USGS) has conducted an assessment of water and proppant requirements, and water production volumes, associated with possible future production of undiscovered petroleum resources in the Bakken and Three Forks Formations, Williston Basin, USA. This water and proppant assessment builds directly from the 2013 USGS petroleum assessment for the Bakken and Three Forks Formations, and it has been conducted using a new water and proppant assessment methodology that builds from the established USGS methodology for assessment of undiscovered petroleum in continuous reservoirs. We determined the assessment input values through extensive analysis of available data on per-well water and proppant use for hydraulic fracturing, including trends over time and space. We determined other assessment inputs through analysis of regional water-production trends.
","largerWorkTitle":"SPE/AAPG/SEG Unconventional Resources Technology Conference","conferenceTitle":"SPE/AAPG/SEG Unconventional Resources Technology Conference","conferenceDate":"July 24-26, 2017","conferenceLocation":"Austin, TX","language":"English","publisher":"Unconventional Resources Technology Conference","usgsCitation":"Haines, S.S., Varela, B.A., Hawkins, S.J., Gianoutsos, N.J., and Tennyson, M.E., 2017, USGS assessment of water and proppant requirements and water production associated with undiscovered petroleum in the Bakken and Three Forks Formations, in SPE/AAPG/SEG Unconventional Resources Technology Conference, Austin, TX, July 24-26, 2017, 9 p.","productDescription":"9 p.","ipdsId":"IP-086786","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":350076,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60faf9e4b06e28e9c22a52","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":718225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Varela, Brian A. 0000-0001-9849-6742 bvarela@usgs.gov","orcid":"https://orcid.org/0000-0001-9849-6742","contributorId":178091,"corporation":false,"usgs":true,"family":"Varela","given":"Brian","email":"bvarela@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":718226,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hawkins, Sarah J. 0000-0002-1878-9121 shawkins@usgs.gov","orcid":"https://orcid.org/0000-0002-1878-9121","contributorId":4818,"corporation":false,"usgs":true,"family":"Hawkins","given":"Sarah","email":"shawkins@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":718227,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gianoutsos, Nicholas J. 0000-0002-6510-6549 ngianoutsos@usgs.gov","orcid":"https://orcid.org/0000-0002-6510-6549","contributorId":3607,"corporation":false,"usgs":true,"family":"Gianoutsos","given":"Nicholas","email":"ngianoutsos@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":718228,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tennyson, Marilyn E. 0000-0002-5166-2421 tennyson@usgs.gov","orcid":"https://orcid.org/0000-0002-5166-2421","contributorId":176582,"corporation":false,"usgs":true,"family":"Tennyson","given":"Marilyn","email":"tennyson@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":718229,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70196793,"text":"70196793 - 2017 - Thermal tolerances of fishes occupying groundwater and surface-water dominated streams","interactions":[],"lastModifiedDate":"2018-05-01T14:48:45","indexId":"70196793","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Thermal tolerances of fishes occupying groundwater and surface-water dominated streams","docAbstract":"A thermal tolerance study mimicking different stream environments could improve our ecological understanding of how increasing water temperatures affect stream ectotherms and improve our ability to predict organism responses based on river classification schemes. Our objective was to compare the thermal tolerances of stream fishes of different habitat guilds among 3 exposure periods: critical thermal maximum (CTmax, increase of 2°C/h until loss of equilibrium [LOE] and death [D]), and 2 longer-term treatments (net daily increase of 1°C) that mimicked spring-fed (SF; 4°C daily increase) and non-spring-fed (NSF; 8°C daily increase) conditions. Fishes in the pelagic habitat guild had a 1°C higher average CTmax than benthic fishes. Thermal responses of species depended on exposure period with higher and increased variation in tolerances associated with the SF and NSF exposure periods. Logperch, Orangebelly Darter, Orangethroat Darter, and Southern Redbelly Dace were more sensitive to thermal increases regardless of SF or NSF treatment than were the 3 remaining species (Brook Silverside, Central Stoneroller, and Redspot Chub), which represented average thermal responses among the species tested. The 3 species that had a higher thermal response to CTmax-D (lethal endpoint of death) also were able to increase their tolerances more than other species in both SF and NSF treatments. Our data indicate finer guild designations may be useful for predicting thermal-response patterns. A diel thermal refuge increases the thermal responses of ectotherms to daily maxima, but the patterns across our SF and NSF treatments were similar suggesting minimum refuge temperatures may be more important than maximums. Nonetheless, stream temperature cooling over a 24-h period is important to ectotherm thermal tolerances, a result suggesting that sources of cooler water to streams might benefit from protection.
","language":"English","publisher":"University of Chicago Press","doi":"10.1086/694781","usgsCitation":"Farless, N., and Brewer, S.K., 2017, Thermal tolerances of fishes occupying groundwater and surface-water dominated streams: Freshwater Science, v. 36, no. 4, p. 866-876, https://doi.org/10.1086/694781.","productDescription":"11 p.","startPage":"866","endPage":"876","ipdsId":"IP-079936","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":353891,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee79ce4b0da30c1bfc300","contributors":{"authors":[{"text":"Farless, Nicole","contributorId":141040,"corporation":false,"usgs":false,"family":"Farless","given":"Nicole","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":734465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":734424,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70196268,"text":"70196268 - 2017 - Metabarcoding of environmental DNA samples to explore the use of uranium mine containment ponds as a water source for wildlife","interactions":[],"lastModifiedDate":"2018-03-29T10:23:16","indexId":"70196268","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1398,"text":"Diversity","active":true,"publicationSubtype":{"id":10}},"title":"Metabarcoding of environmental DNA samples to explore the use of uranium mine containment ponds as a water source for wildlife","docAbstract":"Understanding how anthropogenic impacts on the landscape affect wildlife requires a knowledge of community assemblages. Species surveys are the first step in assessing community structure, and recent molecular applications such as metabarcoding and environmental DNA analyses have been proposed as an additional and complementary wildlife survey method. Here, we test eDNA metabarcoding as a survey tool to examine the potential use of uranium mine containment ponds as water sources by wildlife. We tested samples from surface water near mines and from one mine containment pond using two markers, 12S and 16S rRNA gene amplicons, to survey for vertebrate species. We recovered large numbers of sequence reads from taxa expected to be in the area and from less common or hard to observe taxa such as the tiger salamander and gray fox. Detection of these two species is of note because they were not observed in a previous species assessment, and tiger salamander DNA was found in the mine containment pond sample. We also found that sample concentration by centrifugation was a more efficient and more feasible method than filtration in these highly turbid surface waters. Ultimately, the use of eDNA metabarcoding could allow for a better understanding of the area’s overall biodiversity and community composition as well as aid current ecotoxicological risk assessment work.
","language":"English","publisher":"MDPI","doi":"10.3390/d9040054","usgsCitation":"Klymus, K.E., Richter, C.A., Thompson, N., and Hinck, J.E., 2017, Metabarcoding of environmental DNA samples to explore the use of uranium mine containment ponds as a water source for wildlife: Diversity, v. 9, no. 4, Article 54; 18 p., https://doi.org/10.3390/d9040054.","productDescription":"Article 54; 18 p.","ipdsId":"IP-091285","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":461341,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/d9040054","text":"Publisher Index Page"},{"id":438133,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7QC02Q5","text":"USGS data release","linkHelpText":"eDNA sampling sites in the Grand Canyon region near breccia pipe uranium mines_2015_2016"},{"id":352922,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-21","publicationStatus":"PW","scienceBaseUri":"5afee79ee4b0da30c1bfc31a","contributors":{"authors":[{"text":"Klymus, Katy E. 0000-0002-8843-6241 kklymus@usgs.gov","orcid":"https://orcid.org/0000-0002-8843-6241","contributorId":5043,"corporation":false,"usgs":true,"family":"Klymus","given":"Katy","email":"kklymus@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":731996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richter, Catherine A. 0000-0001-7322-4206 crichter@usgs.gov","orcid":"https://orcid.org/0000-0001-7322-4206","contributorId":138994,"corporation":false,"usgs":true,"family":"Richter","given":"Catherine","email":"crichter@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":731997,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Nathan 0000-0002-1372-6340 nthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-1372-6340","contributorId":196133,"corporation":false,"usgs":true,"family":"Thompson","given":"Nathan","email":"nthompson@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":731998,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hinck, Jo Ellen 0000-0002-4912-5766 jhinck@usgs.gov","orcid":"https://orcid.org/0000-0002-4912-5766","contributorId":2743,"corporation":false,"usgs":true,"family":"Hinck","given":"Jo","email":"jhinck@usgs.gov","middleInitial":"Ellen","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":731999,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70191867,"text":"70191867 - 2017 - Energetic requirements of green sturgeon (Acipenser medirostris) feeding on burrowing shrimp (Neotrypaea californiensis) in estuaries: importance of temperature, reproductive investment, and residence time","interactions":[],"lastModifiedDate":"2018-03-29T13:31:29","indexId":"70191867","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Energetic requirements of green sturgeon (Acipenser medirostris) feeding on burrowing shrimp (Neotrypaea californiensis) in estuaries: importance of temperature, reproductive investment, and residence time","title":"Energetic requirements of green sturgeon (Acipenser medirostris) feeding on burrowing shrimp (Neotrypaea californiensis) in estuaries: importance of temperature, reproductive investment, and residence time","docAbstract":"Habitat use can be complex, as tradeoffs among physiology, resource abundance, and predator avoidance affect the suitability of different environments for different species. Green sturgeon (Acipenser medirostris), an imperiled species along the west coast of North America, undertake extensive coastal migrations and occupy estuaries during the summer and early fall. Warm water and abundant prey in estuaries may afford a growth opportunity. We applied a bioenergetics model to investigate how variation in estuarine temperature, spawning frequency, and duration of estuarine residence affect consumption and growth potential for individual green sturgeon. We assumed that green sturgeon achieve observed annual growth by feeding solely in conditions represented by Willapa Bay, Washington, an estuary annually frequented by green sturgeon and containing extensive tidal flats that harbor a major prey source (burrowing shrimp, Neotrypaea californiensis). Modeled consumption rates increased little with reproductive investment (<0.4%), but responded strongly (10–50%) to water temperature and duration of residence, as higher temperatures and longer residence required greater consumption to achieve equivalent growth. Accordingly, although green sturgeon occupy Willapa Bay from May through September, acoustically-tagged individuals are observed over much shorter durations (34 d + 41 d SD, N = 89). Simulations of <34 d estuarine residence required unrealistically high consumption rates to achieve observed growth, whereas longer durations required sustained feeding, and therefore higher total intake, to compensate for prolonged exposure to warm temperatures. Model results provide a range of per capita consumption rates by green sturgeon feeding in estuaries to inform management decisions regarding resource and habitat protection for this protected species.
","language":"English","publisher":"Springer","doi":"10.1007/s10641-017-0665-3","usgsCitation":"Borin, J.M., Moser, M.L., Hansen, A.G., Beauchamp, D.A., Corbett, S.C., Dumbauld, B.R., Pruitt, C., Ruesink, J.L., and Donoghue, C., 2017, Energetic requirements of green sturgeon (Acipenser medirostris) feeding on burrowing shrimp (Neotrypaea californiensis) in estuaries: importance of temperature, reproductive investment, and residence time: Environmental Biology of Fishes, v. 100, no. 12, p. 1561-1573, https://doi.org/10.1007/s10641-017-0665-3.","productDescription":"13 p.","startPage":"1561","endPage":"1573","ipdsId":"IP-087984","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":488604,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10641-017-0665-3","text":"Publisher Index Page"},{"id":352947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"100","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-21","publicationStatus":"PW","scienceBaseUri":"5afee7abe4b0da30c1bfc353","contributors":{"authors":[{"text":"Borin, Joshua M.","contributorId":197414,"corporation":false,"usgs":false,"family":"Borin","given":"Joshua","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":713458,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moser, Mary L.","contributorId":195100,"corporation":false,"usgs":false,"family":"Moser","given":"Mary","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":713459,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Adam G.","contributorId":197415,"corporation":false,"usgs":false,"family":"Hansen","given":"Adam","email":"","middleInitial":"G.","affiliations":[{"id":34919,"text":"Colorado Parks and Wildlife, 317 West Prospect Road, Fort Collins, Colorado 80526, USA","active":true,"usgs":false}],"preferred":false,"id":713460,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beauchamp, David A. 0000-0002-3592-8381 fadave@usgs.gov","orcid":"https://orcid.org/0000-0002-3592-8381","contributorId":4205,"corporation":false,"usgs":true,"family":"Beauchamp","given":"David","email":"fadave@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":713457,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Corbett, Stephen C.","contributorId":197416,"corporation":false,"usgs":false,"family":"Corbett","given":"Stephen","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":713461,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dumbauld, Brett R.","contributorId":197417,"corporation":false,"usgs":false,"family":"Dumbauld","given":"Brett","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":713462,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pruitt, Casey","contributorId":197418,"corporation":false,"usgs":false,"family":"Pruitt","given":"Casey","email":"","affiliations":[],"preferred":false,"id":713463,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ruesink, Jennifer L.","contributorId":197419,"corporation":false,"usgs":false,"family":"Ruesink","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":713464,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Donoghue, Cinde","contributorId":197420,"corporation":false,"usgs":false,"family":"Donoghue","given":"Cinde","email":"","affiliations":[],"preferred":false,"id":713465,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70195067,"text":"70195067 - 2017 - Using carbon dioxide in fisheries and aquatic invasive species management","interactions":[],"lastModifiedDate":"2018-02-28T14:27:19","indexId":"70195067","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Using carbon dioxide in fisheries and aquatic invasive species management","docAbstract":"To restore native fish populations, fisheries programs often depend on active removal of aquatic invasive species. Chemical removal can be an effective method of eliminating aquatic invasive species, but chemicals can induce mortality in nontarget organisms and persist in the environment. Carbon dioxide (CO2) is an emerging alternative to traditional chemical control agents because it has been demonstrated to be toxic to fish, but is naturally occurring and readily neutralized. In addition, CO2 is a commercially available gas, is highly soluble, and has high absorption efficiency. When these characteristics are paired with advances in modern, large-scale gas delivery technologies, opportunities to use CO2 in natural or artificial (e.g., canals) waters to manage fish become increasingly feasible. Our objective is to describe the history of CO2 use in fisheries and outline potential future applications of CO2 to suppress and manipulate aquatic species in field and aquaculture settings.
","language":"English","publisher":"Wiley","doi":"10.1080/03632415.2017.1383903","usgsCitation":"Treanor, H.B., Ray, A.M., Layhee, M., Watten, B.J., Gross, J.A., Gresswell, R.E., and Webb, M.A., 2017, Using carbon dioxide in fisheries and aquatic invasive species management: Fisheries, v. 42, no. 12, p. 621-628, https://doi.org/10.1080/03632415.2017.1383903.","productDescription":"8 p.","startPage":"621","endPage":"628","ipdsId":"IP-073368","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":438138,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9U3X5XW","text":"USGS data release","linkHelpText":"Carbon dioxide-induced mortality of four species of North American fishes data"},{"id":351342,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-12","publicationStatus":"PW","scienceBaseUri":"5a7d7001e4b00f54eb2441e9","contributors":{"authors":[{"text":"Treanor, Hilary B.","contributorId":200249,"corporation":false,"usgs":false,"family":"Treanor","given":"Hilary","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":726785,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ray, Andrew M.","contributorId":167601,"corporation":false,"usgs":false,"family":"Ray","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":5106,"text":"National Park Service, Yellowstone National Park, Mammoth, Wyoming 82190","active":true,"usgs":false}],"preferred":false,"id":726786,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Layhee, Megan J.","contributorId":201692,"corporation":false,"usgs":false,"family":"Layhee","given":"Megan J.","affiliations":[{"id":36231,"text":"Central Sierra Environmental Resource Center","active":true,"usgs":false}],"preferred":false,"id":726787,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Watten, Barnaby J. 0000-0002-2227-8623 bwatten@usgs.gov","orcid":"https://orcid.org/0000-0002-2227-8623","contributorId":2002,"corporation":false,"usgs":true,"family":"Watten","given":"Barnaby","email":"bwatten@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":726788,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gross, Jason A.","contributorId":201693,"corporation":false,"usgs":false,"family":"Gross","given":"Jason","email":"","middleInitial":"A.","affiliations":[{"id":27848,"text":"Smith-Root, Inc.","active":true,"usgs":false}],"preferred":false,"id":726789,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gresswell, Robert E. 0000-0003-0063-855X bgresswell@usgs.gov","orcid":"https://orcid.org/0000-0003-0063-855X","contributorId":147914,"corporation":false,"usgs":true,"family":"Gresswell","given":"Robert","email":"bgresswell@usgs.gov","middleInitial":"E.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":726784,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Webb, Molly A. H.","contributorId":152118,"corporation":false,"usgs":false,"family":"Webb","given":"Molly","email":"","middleInitial":"A. H.","affiliations":[{"id":18870,"text":"Bozeman Fish Technology Center, U.S. Fish and Wildlife Service, Bozeman, Montana 59715","active":true,"usgs":false}],"preferred":false,"id":726790,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70196963,"text":"70196963 - 2017 - Interactive effects of water temperature and salinity on growth and mortality of eastern oysters, Crassostrea virginica: A meta-analysis using 40 years of monitoring data","interactions":[],"lastModifiedDate":"2018-05-15T17:03:36","indexId":"70196963","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2455,"text":"Journal of Shellfish Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Interactive effects of water temperature and salinity on growth and mortality of eastern oysters, Crassostrea virginica: A meta-analysis using 40 years of monitoring data","title":"Interactive effects of water temperature and salinity on growth and mortality of eastern oysters, Crassostrea virginica: A meta-analysis using 40 years of monitoring data","docAbstract":"Despite nearly a century of exploitation and scientific study, predicting growth and mortality rates of the eastern oyster (Crassostrea virginica) as a means to inform local harvest and management activities remains difficult. Ensuring that models reflect local population responses to varying salinity and temperature combinations requires locally appropriate models. Using long-term (1988 to 2015) monitoring data from Louisiana's public oyster reefs, we develop regionally specific models of temperature- and salinity-driven mortality (sack oysters only) and growth for spat (<25 mm), seed (25–75 mm), and sack (>75 mm) oyster size classes. The results demonstrate that the optimal combination of temperature and salinity where Louisiana oysters experience reduced mortality and fast growth rates is skewed toward lower salinities and higher water temperatures than previous models have suggested. Outside of that optimal range, oysters are commonly exposed to combinations of temperature and salinity that are correlated with high mortality and reduced growth. How these combinations affect growth, and to a lesser degree mortality, appears to be size class dependent. Given current climate predictions for the region and ongoing large-scale restoration activities in coastal Louisiana, the growth and mortality models are a critical step toward ensuring sustainable oyster reefs for long-term harvest and continued delivery of the ecological services in a changing environment.
","language":"English","publisher":"National Shellfisheries Association","doi":"10.2983/035.036.0318","collaboration":"National Fish and Wildlife Foundation, Louisiana,Department of Wildlife and Fisheries, Louisiana State University","usgsCitation":"Lowe, M.R., Sehlinger, T., Soniat, T.M., and LaPeyre, M.K., 2017, Interactive effects of water temperature and salinity on growth and mortality of eastern oysters, Crassostrea virginica: A meta-analysis using 40 years of monitoring data: Journal of Shellfish Research, v. 36, no. 3, p. 683-697, https://doi.org/10.2983/035.036.0318.","productDescription":"15 p.","startPage":"683","endPage":"697","ipdsId":"IP-088282","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":354203,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94,\n 29\n ],\n [\n -89,\n 29\n ],\n [\n -89,\n 30.5\n ],\n [\n -94,\n 30.5\n ],\n [\n -94,\n 29\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee79ce4b0da30c1bfc2fa","contributors":{"authors":[{"text":"Lowe, Michael R. 0000-0002-4645-9429","orcid":"https://orcid.org/0000-0002-4645-9429","contributorId":10539,"corporation":false,"usgs":true,"family":"Lowe","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":735465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sehlinger, Troy","contributorId":204922,"corporation":false,"usgs":false,"family":"Sehlinger","given":"Troy","email":"","affiliations":[],"preferred":false,"id":735466,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Soniat, Thomas M.","contributorId":11109,"corporation":false,"usgs":true,"family":"Soniat","given":"Thomas","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":735467,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LaPeyre, Megan K. 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":585,"corporation":false,"usgs":true,"family":"LaPeyre","given":"Megan","email":"mlapeyre@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":735149,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}