{"pageNumber":"420","pageRowStart":"10475","pageSize":"25","recordCount":68873,"records":[{"id":70182465,"text":"70182465 - 2016 - Shrinking windows of opportunity for oak seedling establishment in southern California mountains","interactions":[],"lastModifiedDate":"2017-02-23T13:22:00","indexId":"70182465","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Shrinking windows of opportunity for oak seedling establishment in southern California mountains","docAbstract":"<p><span>Seedling establishment is a critical step that may ultimately govern tree species’ distribution shifts under environmental change. Annual variation in the location of seed rain and microclimates results in transient “windows of opportunity” for tree seedling establishment across the landscape. These establishment windows vary at fine spatiotemporal scales that are not considered in most assessments of climate change impacts on tree species range dynamics and habitat displacement. We integrate field seedling establishment trials conducted in the southern Sierra Nevada and western Tehachapi Mountains of southern California with spatially downscaled grids of modeled water-year climatic water deficit (CWD</span><sub>wy</sub><span>) and mean August maximum daily temperature (</span><i>T</i><sub>max</sub><span>) to map historical and projected future microclimates suitable for establishment windows of opportunity for </span><i>Quercus douglasii</i><span>, a dominant tree species of warm, dry foothill woodlands, and </span><i>Q.&nbsp;kelloggii</i><span>, a dominant of cooler, more mesic montane woodlands and forests. Based on quasi-binomial regression models, </span><i>Q.&nbsp;douglasii</i><span> seedling establishment is significantly associated with modeled CWD</span><sub>wy</sub><span> and to a lesser degree with modeled </span><i>T</i><sub>max</sub><span>. </span><i>Q.&nbsp;kelloggii</i><span> seedling establishment is most strongly associated with </span><i>T</i><sub>max</sub><span> and best predicted by a two-factor model including CWD</span><sub>wy</sub><span> and </span><i>T</i><sub>max</sub><span>. Establishment niche models are applied to explore recruitment window dynamics in the western Tehachapi Mountains, where these species are currently widespread canopy dominants. Establishment windows are projected to decrease by 50–95%, shrinking locally to higher elevations and north-facing slopes by the end of this century depending on the species and climate scenario. These decreases in establishment windows suggest the potential for longer-term regional population declines of the species. While many additional processes regulate seedling establishment and growth, this study highlights the need to account for topoclimatic controls and interannual climatic variation when assessing how seedling establishment and colonization processes could be affected by climate change.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1573","usgsCitation":"Davis, F., Sweet, L.C., Serra-Diaz, J.M., Franklin, J., McCullough, I.M., Flint, A.L., Flint, L.E., Dingman, J., Regan, H.M., Syphard, A.D., Hannah, L., Redmond, K., and Moritz, M., 2016, Shrinking windows of opportunity for oak seedling establishment in southern California mountains: Ecosphere, v. 7, no. 11, p. 1-18, https://doi.org/10.1002/ecs2.1573.","productDescription":"e01573; 18 p.","startPage":"1","endPage":"18","ipdsId":"IP-070742","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":470458,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1573","text":"Publisher Index Page"},{"id":336110,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.10229492187501,\n              34.125447565116126\n            ],\n            [\n              -118.20190429687501,\n              34.125447565116126\n            ],\n            [\n              -118.20190429687501,\n              37.17782559332976\n            ],\n            [\n              -121.10229492187501,\n              37.17782559332976\n            ],\n            [\n              -121.10229492187501,\n              34.125447565116126\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","issue":"11","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-10","publicationStatus":"PW","scienceBaseUri":"58b002c6e4b01ccd54fb27cb","contributors":{"authors":[{"text":"Davis, Frank W.","contributorId":127849,"corporation":false,"usgs":false,"family":"Davis","given":"Frank W.","affiliations":[{"id":7168,"text":"UCSB","active":true,"usgs":false}],"preferred":false,"id":671195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sweet, Lynn C.","contributorId":149951,"corporation":false,"usgs":false,"family":"Sweet","given":"Lynn","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":671196,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Serra-Diaz, Josep M.","contributorId":149950,"corporation":false,"usgs":false,"family":"Serra-Diaz","given":"Josep","email":"","middleInitial":"M.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":671197,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Franklin, Janet","contributorId":90833,"corporation":false,"usgs":true,"family":"Franklin","given":"Janet","affiliations":[],"preferred":false,"id":671257,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCullough, Ian M.","contributorId":150407,"corporation":false,"usgs":false,"family":"McCullough","given":"Ian","email":"","middleInitial":"M.","affiliations":[{"id":13549,"text":"UC Santa Barbara Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":671258,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":671198,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":671194,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dingman, John jdingman@usgs.gov","contributorId":5431,"corporation":false,"usgs":true,"family":"Dingman","given":"John","email":"jdingman@usgs.gov","affiliations":[],"preferred":true,"id":671259,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Regan, Helen M.","contributorId":149953,"corporation":false,"usgs":false,"family":"Regan","given":"Helen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":671260,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Syphard, Alexandra D.","contributorId":8977,"corporation":false,"usgs":false,"family":"Syphard","given":"Alexandra","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":671261,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hannah, Lee","contributorId":147796,"corporation":false,"usgs":false,"family":"Hannah","given":"Lee","affiliations":[{"id":16938,"text":"Conservation International","active":true,"usgs":false}],"preferred":false,"id":671262,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Redmond, Kelly","contributorId":173364,"corporation":false,"usgs":false,"family":"Redmond","given":"Kelly","affiliations":[],"preferred":false,"id":671263,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Moritz, Max A.","contributorId":57586,"corporation":false,"usgs":false,"family":"Moritz","given":"Max A.","affiliations":[],"preferred":false,"id":671264,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70178341,"text":"70178341 - 2016 - Prediction of pesticide toxicity in Midwest streams","interactions":[],"lastModifiedDate":"2018-09-26T12:40:43","indexId":"70178341","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Prediction of pesticide toxicity in Midwest streams","docAbstract":"<p><span>The occurrence of pesticide mixtures is common in stream waters of the United States, and the impact of multiple compounds on aquatic organisms is not well understood. Watershed Regressions for Pesticides (WARP) models were developed to predict Pesticide Toxicity Index (PTI) values in unmonitored streams in the Midwest and are referred to as WARP-PTI models. The PTI is a tool for assessing the relative toxicity of pesticide mixtures to fish, benthic invertebrates, and cladocera in stream water. One hundred stream sites in the Midwest were sampled weekly in May through August 2013, and the highest calculated PTI for each site was used as the WARP-PTI model response variable. Watershed characteristics that represent pesticide sources and transport were used as the WARP-PTI model explanatory variables. Three WARP-PTI models—fish, benthic invertebrates, and cladocera—were developed that include watershed characteristics describing toxicity-weighted agricultural use intensity, land use, agricultural management practices, soil properties, precipitation, and hydrologic properties. The models explained between 41 and 48% of the variability in the measured PTI values. WARP-PTI model evaluation with independent data showed reasonable performance with no clear bias. The models were applied to streams in the Midwest to demonstrate extrapolation for a regional assessment to indicate vulnerable streams and to guide more intensive monitoring.</span></p>","language":"English","publisher":"ACSESS","doi":"10.2134/jeq2015.12.0624","usgsCitation":"Shoda, M.E., Stone, W.W., and Nowell, L.H., 2016, Prediction of pesticide toxicity in Midwest streams: Journal of Environmental Quality, v. 45, no. 6, p. 1856-1864, https://doi.org/10.2134/jeq2015.12.0624.","productDescription":"9 p.","startPage":"1856","endPage":"1864","ipdsId":"IP-064521","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":470462,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2134/jeq2015.12.0624","text":"Publisher Index Page"},{"id":330980,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Midwest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -98.41552734375,\n              36.65079252503471\n            ],\n            [\n              -98.41552734375,\n              45.336701909968134\n            ],\n            [\n              -81.71630859375,\n              45.336701909968134\n            ],\n            [\n              -81.71630859375,\n              36.65079252503471\n            ],\n            [\n              -98.41552734375,\n              36.65079252503471\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"45","issue":"6","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"582adb45e4b0c253bdfff0af","contributors":{"authors":[{"text":"Shoda, Megan E. 0000-0002-5343-9717 meshoda@usgs.gov","orcid":"https://orcid.org/0000-0002-5343-9717","contributorId":4352,"corporation":false,"usgs":true,"family":"Shoda","given":"Megan","email":"meshoda@usgs.gov","middleInitial":"E.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":653653,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stone, Wesley W. 0000-0003-0239-2063 wwstone@usgs.gov","orcid":"https://orcid.org/0000-0003-0239-2063","contributorId":1496,"corporation":false,"usgs":true,"family":"Stone","given":"Wesley","email":"wwstone@usgs.gov","middleInitial":"W.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":653652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":653654,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70184976,"text":"70184976 - 2016 - Using thermal limits to assess establishment of fish dispersing to high-latitude and high-elevation watersheds","interactions":[],"lastModifiedDate":"2017-03-14T15:59:14","indexId":"70184976","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Using thermal limits to assess establishment of fish dispersing to high-latitude and high-elevation watersheds","docAbstract":"<p><span>Distributional shifts of biota to higher latitudes and elevations are presumably influenced by species-specific physiological tolerances related to warming temperatures. However, it is establishment rather than dispersal that may be limiting colonizations in these cold frontier areas. In freshwater ecosystems, perennial groundwater springs provide critical winter thermal refugia in these extreme environments. By reconciling the thermal characteristics of these refugia with the minimum thermal tolerances of life stages critical for establishment, we develop a strategy to focus broad projections of northward and upward range shifts to the specific habitats that are likely for establishments. We evaluate this strategy using chum salmon (</span><i>Oncorhynchus keta</i><span>) and pink salmon (</span><i>Oncorhynchus gorbuscha</i><span>) that seem poised to colonize Arctic watersheds. Stream habitats with a minimum temperature of 4 °C during spawning and temperatures above 2 °C during egg incubation were most vulnerable to establishments by chum and pink salmon. This strategy will improve modelling forecasts of range shifts for cold freshwater habitats and focus proactive efforts to conserve both newly emerging fisheries and native species at northern and upper distributional extremes.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2016-0051","usgsCitation":"Dunmall, K.M., Mochnacz, N.J., Zimmerman, C.E., Lean, C., and Reist, J.D., 2016, Using thermal limits to assess establishment of fish dispersing to high-latitude and high-elevation watersheds: Canadian Journal of Fisheries and Aquatic Sciences, v. 73, no. 12, p. 1750-1758, https://doi.org/10.1139/cjfas-2016-0051.","productDescription":"9 p.","startPage":"1750","endPage":"1758","ipdsId":"IP-057378","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":470452,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/73094","text":"External Repository"},{"id":337544,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"73","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c90125e4b0849ce97abcd1","contributors":{"authors":[{"text":"Dunmall, Karen M.","contributorId":189272,"corporation":false,"usgs":false,"family":"Dunmall","given":"Karen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":684319,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mochnacz, Neil J.","contributorId":189273,"corporation":false,"usgs":false,"family":"Mochnacz","given":"Neil","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":684320,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":683797,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lean, Charles","contributorId":189274,"corporation":false,"usgs":false,"family":"Lean","given":"Charles","email":"","affiliations":[],"preferred":false,"id":684321,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reist, James D.","contributorId":189275,"corporation":false,"usgs":false,"family":"Reist","given":"James","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":684322,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70174906,"text":"fs20163053 - 2016 - Water clarity of the Colorado River—Implications for food webs and fish communities","interactions":[],"lastModifiedDate":"2016-11-01T15:36:18","indexId":"fs20163053","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-3053","title":"Water clarity of the Colorado River—Implications for food webs and fish communities","docAbstract":"<p><span>The closure of Glen Canyon Dam in 1963 resulted in drastic changes to water clarity, temperature, and flow of the Colorado River in Glen, Marble, and Grand Canyons. The Colorado River is now much clearer, water temperature is less variable throughout the year, and the river is much colder in the summer months. The flow—regulated by the dam—is now less variable annually, but has larger daily fluctuations than during pre-dam times. All of these changes have resulted in a different fish community and different food resources for fish than existed before the dam was built. Recent monitoring of water clarity, by measuring turbidity, has helped scientists and river managers understand modern water-clarity patterns in the dam-regulated Colorado River. These data were then used to estimate pre-dam turbidity in the Colorado River in order to make comparisons of pre-dam and dam-regulated conditions, which are useful for assessing biological changes in the river over time. Prior to dam construction, the large sediment load resulted in low water clarity almost all of the time, a condition which was more favorable for the native fish community.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163053","usgsCitation":"Voichick, N., Kennedy, T.A., Topping, D.J., Griffiths, R.E., and Fry, K.L., 2016, Water clarity of the Colorado River—Implications for food webs and fish communities: U.S. Geological Survey Fact Sheet 2016–5053, 4 p., https://dx.doi.org/10.3133/fs20163053.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"Y","ipdsId":"IP-067865","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":330598,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3053/fs20163053.pdf","text":"Report","size":"1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3053"},{"id":330597,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3053/coverthb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Nevada Utah, New Mexico","otherGeospatial":"Colorado River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -104.52392578125,\n              39.87601941962116\n            ],\n            [\n              -104.62280273437499,\n              39.06184913429154\n            ],\n            [\n              -106.226806640625,\n              38.487994609214795\n            ],\n            [\n              -107.962646484375,\n              38.039438891821746\n            ],\n            [\n              -108.06152343749999,\n              37.31775185163688\n            ],\n            [\n              -108.6328125,\n              36.359374956015856\n            ],\n            [\n              -109.16015624999999,\n              35.24561909420681\n            ],\n            [\n              -109.127197265625,\n              32.90726224488304\n            ],\n            [\n              -109.13818359375,\n              31.484893386890164\n            ],\n            [\n              -111.126708984375,\n              31.316101383495624\n            ],\n            [\n              -114.80712890625,\n              32.47269502206151\n            ],\n            [\n              -114.697265625,\n              32.731840896865684\n            ],\n            [\n              -114.93896484374999,\n              34.415973384481866\n            ],\n            [\n              -114.97192382812499,\n              35.594785665487244\n            ],\n            [\n              -114.78515624999999,\n              36.85325222344018\n            ],\n            [\n              -114.32373046875,\n              37.49229399862877\n            ],\n            [\n              -113.477783203125,\n              37.49229399862877\n            ],\n            [\n              -112.19238281249999,\n              37.60552821745789\n            ],\n            [\n              -111.236572265625,\n              38.09998264736481\n            ],\n            [\n              -110.0830078125,\n              38.7283759182398\n            ],\n            [\n              -109.281005859375,\n              39.554883059924016\n            ],\n            [\n              -108.182373046875,\n              39.9434364619742\n            ],\n            [\n              -106.3916015625,\n              39.93501296038254\n            ],\n            [\n              -104.52392578125,\n              39.87601941962116\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><span class=\"m_6234669218502970143gmail-s1\"><a href=\"http://www.gcmrc.gov/about/staff.aspx%22%20%5Ct%20%22_blank\" target=\"_blank\" data-mce-href=\"http://www.gcmrc.gov/about/staff.aspx%22%20%5Ct%20%22_blank\">GCMRC Staff</a></span>, Southwest Biological Science Center<br>U.S. Geological Survey<span class=\"im\"><br>Grand Canyon Monitoring and Research Center<br></span>2255 N. Gemini Drive<br>Flagstaff, AZ 86001<br><a href=\"http://www.gcmrc.gov/%22%20%5Ct%20%22_blank\" target=\"_blank\" data-mce-href=\"http://www.gcmrc.gov/%22%20%5Ct%20%22_blank\"><span class=\"m_6234669218502970143gmail-s1\">http://www.gcmrc.gov/</span></a><span class=\"m_6234669218502970143gmail-s2\">&nbsp;</span><br></p>","tableOfContents":"<ul><li>Water Clarity in Grand Canyon<br></li><li>Comparing Pre-Dam and Dam-Regulated Water Clarity<br></li><li>Measuring Water Clarity<br></li><li>Water Clarity, Temperature, and Biology<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2016-11-01","noUsgsAuthors":false,"publicationDate":"2016-11-01","publicationStatus":"PW","scienceBaseUri":"5819a9c2e4b0bb36a4c91013","contributors":{"authors":[{"text":"Voichick, Nicholas nvoichick@usgs.gov","contributorId":5015,"corporation":false,"usgs":true,"family":"Voichick","given":"Nicholas","email":"nvoichick@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":643086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennedy, Theodore A. 0000-0003-3477-3629 tkennedy@usgs.gov","orcid":"https://orcid.org/0000-0003-3477-3629","contributorId":167537,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore","email":"tkennedy@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":643087,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":140985,"corporation":false,"usgs":true,"family":"Topping","given":"David","email":"dtopping@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":643088,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Griffiths, Ronald E. 0000-0003-3620-2926 rgriffiths@usgs.gov","orcid":"https://orcid.org/0000-0003-3620-2926","contributorId":162,"corporation":false,"usgs":true,"family":"Griffiths","given":"Ronald","email":"rgriffiths@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":643089,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fry, Kyrie","contributorId":176502,"corporation":false,"usgs":true,"family":"Fry","given":"Kyrie","email":"","affiliations":[],"preferred":false,"id":643090,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70184987,"text":"70184987 - 2016 - Pb-Sr isotopic and geochemical constraints on sources and processes of lead contamination in well waters and soil from former fruit orchards, Pennsylvania, USA: A legacy of anthropogenic activities","interactions":[],"lastModifiedDate":"2017-03-13T13:29:57","indexId":"70184987","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2302,"text":"Journal of Geochemical Exploration","active":true,"publicationSubtype":{"id":10}},"title":"Pb-Sr isotopic and geochemical constraints on sources and processes of lead contamination in well waters and soil from former fruit orchards, Pennsylvania, USA: A legacy of anthropogenic activities","docAbstract":"<p><span>Isotopic discrimination can be an effective tool in establishing a direct link between sources of Pb contamination and the presence of anomalously high concentrations of Pb in waters, soils, and organisms. Residential wells supplying water containing up to 1600&nbsp;ppb Pb to houses built on the former Mohr orchards commercial site, near Allentown, PA, were evaluated to discern anthropogenic from geogenic sources. Pb (n&nbsp;=&nbsp;144) and Sr (n&nbsp;=&nbsp;40) isotopic data and REE (n&nbsp;=&nbsp;29) data were determined for waters from residential wells, test wells (drilled for this study), and surface waters from pond and creeks. Local soils, sediments, bedrock, Zn-Pb mineralization and coal were also analyzed (n&nbsp;=&nbsp;94), together with locally used Pb-As pesticide (n&nbsp;=&nbsp;5). Waters from residential and test wells show overlapping values of </span><sup>206</sup><span>Pb/</span><sup>207</sup><span>Pb, </span><sup>208</sup><span>Pb/</span><sup>207</sup><span>Pb and </span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr. Larger negative Ce anomalies (Ce/Ce*) distinguish residential wells from test wells. Results show that residential and test well waters, sediments from residential water filters in water tanks, and surface waters display broad linear trends in Pb isotope plots. Pb isotope data for soils, bedrock, and pesticides have contrasting ranges and overlapping trends. Contributions of Pb from soils to residential well waters are limited and implicated primarily in wells having shallow water-bearing zones and carrying high sediment contents. Pb isotope data for residential wells, test wells, and surface waters show substantial overlap with Pb data reflecting anthropogenic actions (e.g., burning fossil fuels, industrial and urban processing activities). Limited contributions of Pb from bedrock, soils, and pesticides are evident. High Pb concentrations in the residential waters are likely related to sediment build up in residential water tanks. Redox reactions, triggered by influx of groundwater via wells into the residential water systems and leading to subtle changes in pH, are implicated in precipitation of Fe oxyhydroxides, oxidative scavenging of Ce(IV), and desorption and release of Pb into the residential water systems. The Pb isotope features in the residences and the region are best interpreted as reflecting a legacy of industrial Pb present in underlying aquifers that currently supply the drinking water wells.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gexplo.2016.08.008","usgsCitation":"Ayuso, R.A., and Foley, N.K., 2016, Pb-Sr isotopic and geochemical constraints on sources and processes of lead contamination in well waters and soil from former fruit orchards, Pennsylvania, USA: A legacy of anthropogenic activities: Journal of Geochemical Exploration, v. 170, p. 125-147, https://doi.org/10.1016/j.gexplo.2016.08.008.","productDescription":"23 p.","startPage":"125","endPage":"147","ipdsId":"IP-070677","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":337434,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","volume":"170","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c7af9fe4b0849ce9795e96","contributors":{"authors":[{"text":"Ayuso, Robert A. 0000-0002-8496-9534 rayuso@usgs.gov","orcid":"https://orcid.org/0000-0002-8496-9534","contributorId":2654,"corporation":false,"usgs":true,"family":"Ayuso","given":"Robert","email":"rayuso@usgs.gov","middleInitial":"A.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":683834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foley, Nora K. 0000-0003-0124-3509 nfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-0124-3509","contributorId":4010,"corporation":false,"usgs":true,"family":"Foley","given":"Nora","email":"nfoley@usgs.gov","middleInitial":"K.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":683835,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70182102,"text":"70182102 - 2016 - Response of imperiled Okaloosa darters to stream restoration","interactions":[],"lastModifiedDate":"2018-03-26T14:26:40","indexId":"70182102","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Response of imperiled Okaloosa darters to stream restoration","docAbstract":"<p>The Okaloosa Darter <i>Etheostoma okaloosae</i> is a small percid endemic to six stream drainages in northwestern Florida. The U.S. Fish and Wildlife Service listed Okaloosa Darters as endangered in 1973 and downlisted them to threatened in 2011 because of habitat improvements and increasing abundance across much of their geographic range. Delisting is possible if remaining recovery criteria are met, including restoration of degraded stream reaches. Impounded reaches of Anderson Branch, Mill Creek, and Toms Creek were restored by removing impediments to water flow, draining impoundments, and reconstructing stream reaches. Restorations of Anderson Branch and Mill Creek were designed to rehabilitate populations of Okaloosa Darters without significantly affecting popular recreational activities at these locations. Restorations were evaluated from 2007 to 2013 by comparing counts of Okaloosa Darters and the composition of microhabitats in restored and nearby undisturbed reference sites. Okaloosa Darters were absent from degraded stream reaches at the beginning of the study, but they rapidly colonized once restorations were completed. Counts of Okaloosa Darters in reference and restoration sites in Anderson Branch were similar by the end of the study, whereas counts in restoration sites were significantly lower than nearby reference sites in Mill and Toms creeks. Restoration sites tended to have lower coverage of sand and root and higher coverage of macrophytes. As riparian vegetation surrounding restoration sites matures to a closed canopy that reduces excessive growth of macrophytes, stream microhabitats and numbers of darters will probably become similar to reference sites. Restoration of degraded stream sites increased abundance and distribution of Okaloosa Darters and reconnected formerly isolated upstream and downstream populations. These projects demonstrated that restoration is a useful conservation tool for imperiled fishes such as Okaloosa Darters and can be undertaken without interfering with popular recreational activities.</p>","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2016.1227402","usgsCitation":"Reeves, D.B., Tate, W.B., Jelks, H.L., and Jordan, F., 2016, Response of imperiled Okaloosa darters to stream restoration: North American Journal of Fisheries Management, v. 36, no. 6, p. 1375-1385, https://doi.org/10.1080/02755947.2016.1227402.","productDescription":"11 p.","startPage":"1375","endPage":"1385","ipdsId":"IP-071744","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":335705,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -86.70272827148438,\n              30.496017831341284\n            ],\n            [\n              -86.28662109375,\n              30.496017831341284\n            ],\n            [\n              -86.28662109375,\n              30.92814479412135\n            ],\n            [\n              -86.70272827148438,\n              30.92814479412135\n            ],\n            [\n              -86.70272827148438,\n              30.496017831341284\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","issue":"6","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-07","publicationStatus":"PW","scienceBaseUri":"58a6c82ce4b025c46428626a","contributors":{"authors":[{"text":"Reeves, David B.","contributorId":181809,"corporation":false,"usgs":false,"family":"Reeves","given":"David","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":669607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tate, William B.","contributorId":181810,"corporation":false,"usgs":false,"family":"Tate","given":"William","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":669608,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jelks, Howard L. 0000-0002-0672-6297 hjelks@usgs.gov","orcid":"https://orcid.org/0000-0002-0672-6297","contributorId":168997,"corporation":false,"usgs":true,"family":"Jelks","given":"Howard","email":"hjelks@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":669606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jordan, Frank","contributorId":181811,"corporation":false,"usgs":false,"family":"Jordan","given":"Frank","email":"","affiliations":[],"preferred":false,"id":669609,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70178041,"text":"70178041 - 2016 - Effectiveness of vegetation buffers surrounding playa wetlands at contaminant and sediment amelioration","interactions":[],"lastModifiedDate":"2016-11-01T13:01:49","indexId":"70178041","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Effectiveness of vegetation buffers surrounding playa wetlands at contaminant and sediment amelioration","docAbstract":"<p><span>Playa wetlands, the dominant hydrological feature of the semi-arid U.S. High Plains providing critical ecosystem services, are being lost and degraded due to anthropogenic alterations of the short-grass prairie landscape. The primary process contributing to the loss of playas is filling of the wetland through accumulation of soil eroded and transported by precipitation from surrounding cultivated watersheds. We evaluated effectiveness of vegetative buffers surrounding playas in removing metals, nutrients, and dissolved/suspended sediments from precipitation runoff. Storm water runoff was collected at 10-m intervals in three buffer types (native grass, fallow cropland, and Conservation Reserve Program). Buffer type differed in plant composition, but not in maximum percent removal of contaminants. Within the initial 60&nbsp;m from a cultivated field, vegetation buffers of all types removed &gt;50% of all measured contaminants, including 83% of total suspended solids (TSS) and 58% of total dissolved solids (TDS). Buffers removed an average of 70% of P and 78% of N to reduce nutrients entering the playa. Mean maximum percent removal for metals ranged from 56% of Na to 87% of Cr. Maximum removal was typically at 50&nbsp;m of buffer width. Measures of TSS were correlated with all measures of metals and nutrients except for N, which was correlated with TDS. Any buffer type with &gt;80% vegetation cover and 30–60&nbsp;m in width would maximize contaminant removal from precipitation runoff while ensuring that playas would continue to function hydrologically to provide ecosystem services. Watershed management to minimize erosion and creations of vegetation buffers could be economical and effective conservation tools for playa wetlands.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2016.07.011","usgsCitation":"Haukos, D.A., Johnson, L.A., Smith, L., and McMurry, S.T., 2016, Effectiveness of vegetation buffers surrounding playa wetlands at contaminant and sediment amelioration: Journal of Environmental Management, v. 181, p. 552-562, https://doi.org/10.1016/j.jenvman.2016.07.011.","productDescription":"11 p.","startPage":"552","endPage":"562","ipdsId":"IP-068762","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":470475,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2016.07.011","text":"Publisher Index Page"},{"id":330610,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"181","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5819a9c1e4b0bb36a4c91005","contributors":{"authors":[{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":652586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Lacrecia A.","contributorId":176511,"corporation":false,"usgs":false,"family":"Johnson","given":"Lacrecia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":652627,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Loren M.","contributorId":88876,"corporation":false,"usgs":true,"family":"Smith","given":"Loren M.","affiliations":[],"preferred":false,"id":652628,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McMurry, Scott T.","contributorId":76613,"corporation":false,"usgs":true,"family":"McMurry","given":"Scott","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":652629,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70178568,"text":"70178568 - 2016 - Effects of land use and sample location on nitrate-stream flow hysteresis descriptors during storm events","interactions":[],"lastModifiedDate":"2016-12-01T13:38:14","indexId":"70178568","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Effects of land use and sample location on nitrate-stream flow hysteresis descriptors during storm events","docAbstract":"<p><span>The U.S. Geological Survey's New Jersey and Iowa Water Science Centers deployed ultraviolet-visible spectrophotometric sensors at water-quality monitoring sites on the Passaic and Pompton Rivers at Two Bridges, New Jersey, on Toms River at Toms River, New Jersey, and on the North Raccoon River near Jefferson, Iowa to continuously measure in-stream nitrate plus nitrite as nitrogen (NO</span><sub>3</sub><span>&nbsp;+&nbsp;NO</span><sub>2</sub><span>) concentrations in conjunction with continuous stream flow measurements. Statistical analysis of NO</span><sub>3</sub><span>&nbsp;+&nbsp;NO</span><sub>2</sub> <i>vs</i><span>. stream discharge during storm events found statistically significant links between land use types and sampling site with the normalized area and rotational direction of NO</span><sub>3</sub><span>&nbsp;+&nbsp;NO</span><sub>2</sub><span>-stream discharge (N-Q) hysteresis patterns. Statistically significant relations were also found between the normalized area of a hysteresis pattern and several flow parameters as well as the normalized area adjusted for rotational direction and minimum NO</span><sub>3</sub><span>&nbsp;+&nbsp;NO</span><sub>2</sub><span> concentrations. The mean normalized hysteresis area for forested land use was smaller than that of urban and agricultural land uses. The hysteresis rotational direction of the agricultural land use was opposite of that of the urban and undeveloped land uses. An </span><i>r</i><sup>2</sup><span> of 0.81 for the relation between the minimum normalized NO</span><sub>3</sub><span>&nbsp;+&nbsp;NO</span><sub>2</sub><span> concentration during a storm </span><i>vs</i><span>. the normalized NO</span><sub>3</sub><span>&nbsp;+&nbsp;NO</span><sub>2</sub><span> concentration at peak flow suggested that dilution was the dominant process controlling NO</span><sub>3</sub><span>&nbsp;+&nbsp;NO</span><sub>2</sub><span> concentrations over the course of most storm events.</span></p>","language":"English","publisher":"American Water Resources Association","doi":"10.1111/1752-1688.12477","usgsCitation":"Feinson, L.S., Gibs, J., Imbrigiotta, T., and Garrett, J.D., 2016, Effects of land use and sample location on nitrate-stream flow hysteresis descriptors during storm events: Journal of the American Water Resources Association, v. 52, no. 6, p. 1493-1508, https://doi.org/10.1111/1752-1688.12477.","productDescription":"16 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,{"id":70178027,"text":"70178027 - 2016 - Analyses of infrequent (quasi-decadal) large groundwater recharge events in the northern Great Basin: Their importance for groundwater availability, use, and management","interactions":[],"lastModifiedDate":"2017-01-11T16:32:00","indexId":"70178027","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Analyses of infrequent (quasi-decadal) large groundwater recharge events in the northern Great Basin: Their importance for groundwater availability, use, and management","docAbstract":"<p><span>There has been a considerable amount of research linking climatic variability to hydrologic responses in the western United States. Although much effort has been spent to assess and predict changes in surface water resources, little has been done to understand how climatic events and changes affect groundwater resources. This study focuses on characterizing and quantifying the effects of large, multiyear, quasi-decadal groundwater recharge events in the northern Utah portion of the Great Basin for the period 1960–2013. Annual groundwater level data were analyzed with climatic data to characterize climatic conditions and frequency of these large recharge events. Using observed water-level changes and multivariate analysis, five large groundwater recharge events were identified with a frequency of about 11–13 years. These events were generally characterized as having above-average annual precipitation and snow water equivalent and below-average seasonal temperatures, especially during the spring (April through June). Existing groundwater flow models for several basins within the study area were used to quantify changes in groundwater storage from these events. Simulated groundwater storage increases per basin from a single recharge event ranged from about 115 to 205 Mm</span><sup>3</sup><span>. Extrapolating these amounts over the entire northern Great Basin indicates that a single large quasi-decadal recharge event could result in billions of cubic meters of groundwater storage. Understanding the role of these large quasi-decadal recharge events in replenishing aquifers and sustaining water supplies is crucial for long-term groundwater management.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1002/2016WR019060","usgsCitation":"Masbruch, M.D., Rumsey, C., Gangopadhyay, S., Susong, D.D., and Pruitt, T., 2016, Analyses of infrequent (quasi-decadal) large groundwater recharge events in the northern Great Basin: Their importance for groundwater availability, use, and management: Water Resources Research, v. 52, no. 10, p. 7819-7836, https://doi.org/10.1002/2016WR019060.","productDescription":"18 p.","startPage":"7819","endPage":"7836","ipdsId":"IP-069809","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":470453,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016wr019060","text":"Publisher Index Page"},{"id":330630,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.08203125,\n              38.47939467327645\n            ],\n            [\n              -114.08203125,\n              42.00032514831621\n            ],\n            [\n              -109.0283203125,\n              42.00032514831621\n            ],\n            [\n              -109.0283203125,\n              38.47939467327645\n            ],\n            [\n              -114.08203125,\n              38.47939467327645\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"52","issue":"10","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-11","publicationStatus":"PW","scienceBaseUri":"5819a9c2e4b0bb36a4c9100d","contributors":{"authors":[{"text":"Masbruch, Melissa D. 0000-0001-6568-160X mmasbruch@usgs.gov","orcid":"https://orcid.org/0000-0001-6568-160X","contributorId":1902,"corporation":false,"usgs":true,"family":"Masbruch","given":"Melissa","email":"mmasbruch@usgs.gov","middleInitial":"D.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":652542,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rumsey, Christine 0000-0001-7536-750X crumsey@usgs.gov","orcid":"https://orcid.org/0000-0001-7536-750X","contributorId":146240,"corporation":false,"usgs":true,"family":"Rumsey","given":"Christine","email":"crumsey@usgs.gov","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":652543,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gangopadhyay, Subhrendu 0000-0003-3864-8251","orcid":"https://orcid.org/0000-0003-3864-8251","contributorId":173439,"corporation":false,"usgs":false,"family":"Gangopadhyay","given":"Subhrendu","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":652544,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Susong, David D. ddsusong@usgs.gov","contributorId":1040,"corporation":false,"usgs":true,"family":"Susong","given":"David","email":"ddsusong@usgs.gov","middleInitial":"D.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":652545,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pruitt, Tom 0000-0002-3543-1324","orcid":"https://orcid.org/0000-0002-3543-1324","contributorId":173440,"corporation":false,"usgs":false,"family":"Pruitt","given":"Tom","email":"","affiliations":[{"id":27228,"text":"Reclamation","active":true,"usgs":false}],"preferred":false,"id":652546,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70177939,"text":"70177939 - 2016 - Migratory bird habitat in relation to tile drainage and poorly drained hydrologic soil groups","interactions":[],"lastModifiedDate":"2017-01-20T11:10:39","indexId":"70177939","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Migratory bird habitat in relation to tile drainage and poorly drained hydrologic soil groups","docAbstract":"<p><span>The Prairie Pothole Region (PPR) is home to more than 50% of the migratory waterfowl in North America. Although the PPR provides an abundance of temporary and permanent wetlands for nesting and feeding, increases in commodity prices and agricultural drainage practices have led to a trend of wetland drainage. The Northern Shoveler is a migratory dabbling duck species that uses wetland habitats and cultivated croplands in the PPR. Richland County in North Dakota and Roberts County in South Dakota have an abundance of wetlands and croplands and were chosen as the study areas for this research to assess the wetland size and cultivated cropland in relation to hydrologic soil groups for the Northern Shoveler habitat. This study used geographic information system data to analyze Northern Shoveler habitats in association with Natural Resource Conservation Service soil data. Habitats, which are spatially associated with certain hydrologic soil groups, may be at risk of artificial drainage installations because of their proximity to cultivated croplands and soil lacking in natural drainage that may become wet or inundated. Findings indicate that most wetlands that are part of Northern Shoveler habitats were within or adjacent to cultivated croplands. The results also revealed soil hydrologic groups with high runoff potential and low water transmission rates account for most of the soil within the Northern Shoveler‘s wetland and cropland habitats. Habitats near agriculture with high runoff potential are likely to be drained and this has the potential of reducing Northern Shoveler habitat.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"10th International Drainage Symposium Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"10th International Drainage Symposium Conference","conferenceDate":"September 6-9, 2016","conferenceLocation":"Minneapolis, Minnesota","language":"English","publisher":"American Society of Agricultural and Biological Engineers","doi":"10.13031/IDS.20162493338","usgsCitation":"Kastner, B., Christensen, V.G., Williamson, T., and Sanocki, C.A., 2016, Migratory bird habitat in relation to tile drainage and poorly drained hydrologic soil groups, <i>in</i> 10th International Drainage Symposium Conference, Minneapolis, Minnesota, September 6-9, 2016, https://doi.org/10.13031/IDS.20162493338.","ipdsId":"IP-076360","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":333559,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-07","publicationStatus":"PW","scienceBaseUri":"58833022e4b0d0023163778e","contributors":{"authors":[{"text":"Kastner, Brandi bkastner@usgs.gov","contributorId":176471,"corporation":false,"usgs":true,"family":"Kastner","given":"Brandi","email":"bkastner@usgs.gov","affiliations":[],"preferred":true,"id":659209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christensen, Victoria G. 0000-0003-4166-7461 vglenn@usgs.gov","orcid":"https://orcid.org/0000-0003-4166-7461","contributorId":2354,"corporation":false,"usgs":true,"family":"Christensen","given":"Victoria","email":"vglenn@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":659210,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williamson, Tanja N. tnwillia@usgs.gov","contributorId":452,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja N.","email":"tnwillia@usgs.gov","affiliations":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"preferred":false,"id":659211,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sanocki, Christopher A. 0000-0001-6714-5421 sanocki@usgs.gov","orcid":"https://orcid.org/0000-0001-6714-5421","contributorId":3142,"corporation":false,"usgs":true,"family":"Sanocki","given":"Christopher","email":"sanocki@usgs.gov","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":659212,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70178032,"text":"70178032 - 2016 - King Rail (Rallus elegans) Nesting and Brood Rearing Ecology at Red Slough WMA, SE Oklahoma","interactions":[],"lastModifiedDate":"2016-11-01T13:47:25","indexId":"70178032","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"King Rail (Rallus elegans) Nesting and Brood Rearing Ecology at Red Slough WMA, SE Oklahoma","language":"English","publisher":"The Waterbird Society","publisherLocation":"Waco, TX","doi":"10.1675/063.039.0303","usgsCitation":"Krementz, D.G., Willard, K.L., Carroll, M., and Dugger, K.M., 2016, King Rail (Rallus elegans) Nesting and Brood Rearing Ecology at Red Slough WMA, SE Oklahoma: Waterbirds, v. 39, no. 3, p. 241-249, 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,{"id":70175944,"text":"70175944 - 2016 - Space use of a dominant Arctic vertebrate: Effects of prey, sea ice, and land on Pacific walrus resource selection","interactions":[],"lastModifiedDate":"2018-06-16T17:47:11","indexId":"70175944","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Space use of a dominant Arctic vertebrate: Effects of prey, sea ice, and land on Pacific walrus resource selection","docAbstract":"<p><span>Sea ice dominates marine ecosystems in the Arctic, and recent reductions in sea ice may alter food webs throughout the region. Sea ice loss may also stress Pacific walruses (</span><i>Odobenus rosmarus divergens</i><span>), which feed on benthic macroinvertebrates in the Bering and Chukchi seas. However, no studies have examined the effects of sea ice on foraging Pacific walrus space use patterns. We tested a series of hypotheses that examined walrus foraging resource selection as a function of proximity to resting substrates and prey biomass. We quantified walrus prey biomass with 17 benthic invertebrate families, which included bivalves, polychaetes, amphipods, tunicates, and sipunculids. We included covariates for distance to sea ice and distance to land, and systematically developed a series of candidate models to examine interactions among benthic prey biomass and resting substrates. We ranked candidate models with Bayesian Information Criterion and made inferences on walrus resource selection based on the top-ranked model. Based on the top model, biomass of the bivalve family Tellinidae, distance to ice, distance to land, and the interaction of distances to ice and land all positively influenced walrus foraging resource selection. Standardized model coefficients indicated that distance to ice explained the most variation in walrus foraging resource selection followed by Tellinidae biomass. Distance to land and the interaction of distances to ice and land accounted for similar levels of variation. Tellinidae biomass likely represented an index of overall bivalve biomass, indicating walruses focused foraging in areas with elevated levels of bivalve and tellinid biomass. Our results also emphasize the importance of sea ice to walruses. Projected sea ice loss will increase the duration of the open water season in the Chukchi Sea, altering the spatial distribution of resting sites relative to current foraging areas and possibly affecting the spatial structure of benthic communities.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2016.08.035","usgsCitation":"Beatty, W.S., Jay, C.V., Fischbach, A.S., Grebmeier, J.M., Taylor, R.L., Blanchard, A.L., and Jewett, S.C., 2016, Space use of a dominant Arctic vertebrate: Effects of prey, sea ice, and land on Pacific walrus resource selection: Biological Conservation, v. 203, p. 25-32, https://doi.org/10.1016/j.biocon.2016.08.035.","productDescription":"8 p.","startPage":"25","endPage":"32","ipdsId":"IP-076003","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":470455,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index 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M.","contributorId":48815,"corporation":false,"usgs":false,"family":"Grebmeier","given":"Jacqueline","email":"","middleInitial":"M.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":646629,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taylor, Rebecca L. 0000-0001-8459-7614 rebeccataylor@usgs.gov","orcid":"https://orcid.org/0000-0001-8459-7614","contributorId":5112,"corporation":false,"usgs":true,"family":"Taylor","given":"Rebecca","email":"rebeccataylor@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":646630,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blanchard, Arny L.","contributorId":173948,"corporation":false,"usgs":false,"family":"Blanchard","given":"Arny","email":"","middleInitial":"L.","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":646631,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jewett, Stephen C.","contributorId":94397,"corporation":false,"usgs":true,"family":"Jewett","given":"Stephen","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":646632,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70178036,"text":"70178036 - 2016 - Organizing environmental flow frameworks to meet hydropower mitigation needs","interactions":[],"lastModifiedDate":"2016-11-01T13:30:46","indexId":"70178036","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Organizing environmental flow frameworks to meet hydropower mitigation needs","docAbstract":"<p><span>The global recognition of the importance of natural flow regimes to sustain the ecological integrity of river systems has led to increased societal pressure on the hydropower industry to change plant operations to improve downstream aquatic ecosystems. However, a complete reinstatement of natural flow regimes is often unrealistic when balancing water needs for ecosystems, energy production, and other human uses. Thus, stakeholders must identify a prioritized subset of flow prescriptions that meet ecological objectives in light of realistic constraints. Yet, isolating aspects of flow regimes to restore downstream of hydropower facilities is among the greatest challenges of environmental flow science due, in part, to the sheer volume of available environmental flow tools in conjunction with complex negotiation-based regulatory procedures. Herein, we propose an organizational framework that structures information and existing flow paradigms into a staged process that assists stakeholders in implementing environmental flows for hydropower facilities. The framework identifies areas where regulations fall short of the needed scientific process, and provide suggestions for stakeholders to ameliorate those situations through advanced preparation. We highlight the strengths of existing flow paradigms in their application to hydropower settings and suggest when and where tools are most applicable. Our suggested framework increases the effectiveness and efficiency of the e-flow implementation process by rapidly establishing a knowledge base and decreasing uncertainty so more time can be devoted to filling knowledge gaps. Lastly, the framework provides the structure for a coordinated research agenda to further the science of environmental flows related to hydropower environments.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00267-016-0726-y","usgsCitation":"McManamay, R.A., Brewer, S.K., Jager, H., and Troia, M.J., 2016, Organizing environmental flow frameworks to meet hydropower mitigation needs: Environmental Management, v. 58, no. 3, p. 365-385, https://doi.org/10.1007/s00267-016-0726-y.","productDescription":"21 p.","startPage":"365","endPage":"385","ipdsId":"IP-069487","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":470465,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1260072","text":"External Repository"},{"id":330622,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-25","publicationStatus":"PW","scienceBaseUri":"5819a9c1e4b0bb36a4c91009","contributors":{"authors":[{"text":"McManamay, Ryan A.","contributorId":176519,"corporation":false,"usgs":false,"family":"McManamay","given":"Ryan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":652647,"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":652580,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jager, Henriette","contributorId":167339,"corporation":false,"usgs":false,"family":"Jager","given":"Henriette","affiliations":[{"id":24694,"text":"Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN","active":true,"usgs":false}],"preferred":false,"id":652648,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Troia, Matthew J.","contributorId":176520,"corporation":false,"usgs":false,"family":"Troia","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":652649,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70179077,"text":"70179077 - 2016 - Do water level fluctuations influence production of walleye and yellow perch young-of-the-year in large northern lakes?","interactions":[],"lastModifiedDate":"2016-12-15T15:27:17","indexId":"70179077","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Do water level fluctuations influence production of walleye and yellow perch young-of-the-year in large northern lakes?","docAbstract":"<p><span>Many ecological processes depend on the regular rise and fall of water levels (WLs), and artificial manipulations to WL regimes can impair important ecosystem services. Previous research has suggested that differences in WL between late summer and early spring may alter the suitability of shoals used by Walleyes </span><i>Sander vitreus</i><span> for spawning. Other species, such as the Yellow Perch </span><i>Perca flavescens</i><span>, are unlikely to be affected in the same way by WL fluctuations because their spawning requirements are quite different. We used 11–23 years of data from six northern Minnesota lakes to assess the effects of WL fluctuations on the abundances of young-of-the-year (age-0) Walleyes and Yellow Perch. In two lakes (Rainy Lake and Lake Kabetogama), a change in WL management occurred in 2000, after which these lakes saw increased age-0 Walleye abundance, while the other study lakes experienced decreases or no change. Rainy Lake and Lake Kabetogama also had increases in age-0 Yellow Perch, but another study lake did also. We used partial least-squares regression to assess whether WL metrics were associated with variation in age-0 Walleye and Yellow Perch abundances, but WL metrics were seldom associated with age-0 abundance for either species. Our analysis suggested a potential influence of WL regulation on age-0 Walleye abundance, but we found no evidence that early spring access to spawning shoals was the mechanism by which this occurred.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2016.1214645","usgsCitation":"Larson, J.H., Staples, D.F., Maki, R., Vallazza, J., Knights, B.C., and Peterson, K.E., 2016, Do water level fluctuations influence production of walleye and yellow perch young-of-the-year in large northern lakes?: North American Journal of Fisheries Management, v. 36, no. 6, p. 1425-1436, https://doi.org/10.1080/02755947.2016.1214645.","productDescription":"12 p.","startPage":"1425","endPage":"1436","ipdsId":"IP-061712","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":488545,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/dataset/Do_Water_Level_Fluctuations_Influence_Production_of_Walleye_and_Yellow_Perch_Young-of-the-Year_in_Large_Northern_Lakes_/4223739","text":"External Repository"},{"id":332190,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"6","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-10","publicationStatus":"PW","scienceBaseUri":"5853ba40e4b0e2663625f2b8","contributors":{"authors":[{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":655943,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Staples, David F.","contributorId":150561,"corporation":false,"usgs":false,"family":"Staples","given":"David","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":655944,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maki, Ryan P.","contributorId":100111,"corporation":false,"usgs":true,"family":"Maki","given":"Ryan P.","affiliations":[],"preferred":false,"id":655945,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vallazza, Jon M. jvallazza@usgs.gov","contributorId":139282,"corporation":false,"usgs":true,"family":"Vallazza","given":"Jon M.","email":"jvallazza@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":655946,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Knights, Brent C. 0000-0001-8526-8468 bknights@usgs.gov","orcid":"https://orcid.org/0000-0001-8526-8468","contributorId":2906,"corporation":false,"usgs":true,"family":"Knights","given":"Brent","email":"bknights@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":655947,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peterson, Kevin E.","contributorId":177489,"corporation":false,"usgs":false,"family":"Peterson","given":"Kevin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":655948,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70192923,"text":"70192923 - 2016 - The Grand Ethiopian Renaissance Dam: Source of cooperation or contention?","interactions":[],"lastModifiedDate":"2017-10-30T14:42:05","indexId":"70192923","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2501,"text":"Journal of Water Resources Planning and Management","active":true,"publicationSubtype":{"id":10}},"title":"The Grand Ethiopian Renaissance Dam: Source of cooperation or contention?","docAbstract":"<p>This paper discusses the challenges and benefits of the Grand Ethiopian Renaissance Dam (GERD), which is under construction and expected to be operational on the Blue Nile River in Ethiopia in a few years. Like many large-scale projects on transboundary rivers, the GERD has been criticized for potentially jeopardizing downstream water security and livelihoods through upstream unilateral decision making. In spite of the contentious nature of the project, the authors argue that this project can provide substantial benefits for regional development. The GERD, like any major river infrastructure project, will undeniably bring about social, environmental, and economic change, and in this unique case has, on balance, the potential to achieve success on all fronts. It must be stressed, however, that strong partnerships between riparian countries are essential. National success is contingent on regional cooperation.</p>","language":"English","publisher":"ASCE","doi":"10.1061/(ASCE)WR.1943-5452.0000708","usgsCitation":"Teferi Taye, M., Tadesse, T., Senay, G., and Block, P., 2016, The Grand Ethiopian Renaissance Dam: Source of cooperation or contention?: Journal of Water Resources Planning and Management, v. 142, no. 11, p. 1-5, https://doi.org/10.1061/(ASCE)WR.1943-5452.0000708.","productDescription":"Article  02516001; 5 p.","startPage":"1","endPage":"5","ipdsId":"IP-072208","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":347722,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Nile Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              24.8291015625,\n              -2.986927393334863\n            ],\n            [\n              36.73828124999999,\n              -2.986927393334863\n            ],\n            [\n              36.73828124999999,\n              31.39115752282472\n            ],\n            [\n              24.8291015625,\n              31.39115752282472\n            ],\n            [\n              24.8291015625,\n              -2.986927393334863\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"142","issue":"11","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f83a3ae4b063d5d30980fd","contributors":{"authors":[{"text":"Teferi Taye, Meron","contributorId":198997,"corporation":false,"usgs":false,"family":"Teferi Taye","given":"Meron","email":"","affiliations":[],"preferred":false,"id":717835,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tadesse, Tsegaye 0000-0002-4102-1137","orcid":"https://orcid.org/0000-0002-4102-1137","contributorId":147617,"corporation":false,"usgs":false,"family":"Tadesse","given":"Tsegaye","email":"","affiliations":[],"preferred":false,"id":717836,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":166812,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":717360,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Block, Paul","contributorId":198998,"corporation":false,"usgs":false,"family":"Block","given":"Paul","email":"","affiliations":[],"preferred":false,"id":717837,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70185042,"text":"70185042 - 2016 - Land–atmosphere feedbacks amplify aridity increase over land under global warming","interactions":[],"lastModifiedDate":"2017-03-14T11:46:26","indexId":"70185042","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"Land–atmosphere feedbacks amplify aridity increase over land under global warming","docAbstract":"<p>The response of the terrestrial water cycle to global warming is central to issues including water resources, agriculture and ecosystem health. Recent studies indicate that aridity, defined in terms of atmospheric supply (precipitation, P) and demand (potential evapotranspiration, Ep) of water at the land surface, will increase globally in a warmer world. Recently proposed mechanisms for this response emphasize the driving role of oceanic warming and associated atmospheric processes. Here we show that the aridity response is substantially amplified by land–atmosphere feedbacks associated with the land surface’s response to climate and CO2 change. Using simulations from the Global Land Atmosphere Coupling Experiment (GLACE)-CMIP5 experiment, we show that global aridity is enhanced by the feedbacks of projected soil moisture decrease on land surface temperature, relative humidity and precipitation. The physiological impact of increasing atmospheric CO2 on vegetation exerts a qualitatively similar control on aridity. We reconcile these findings with previously proposed mechanisms by showing that the moist enthalpy change over land is unaffected by the land hydrological response. Thus, although oceanic warming constrains the combined moisture and temperature changes over land, land hydrology modulates the partitioning of this enthalpy increase towards increased aridity.</p><p><br data-mce-bogus=\"1\"></p>","language":"English","publisher":"Nature","doi":"10.1038/nclimate3029","usgsCitation":"Berg, A., Findell, K., Lintner, B., Giannini, A., Seneviratne, S.I., van den Hurk, B., Lorenz, R., Pitman, A., Hagemann, S., Meier, A., Cheruy, F., Ducharne, A., Malyshev, S., and Milly, P.C., 2016, Land–atmosphere feedbacks amplify aridity increase over land under global warming: Nature Climate Change, v. 6, p. 869-874, https://doi.org/10.1038/nclimate3029.","productDescription":"6 p.","startPage":"869","endPage":"874","ipdsId":"IP-073108","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":470474,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/66112","text":"External Repository"},{"id":337492,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-16","publicationStatus":"PW","scienceBaseUri":"58c90125e4b0849ce97abccb","contributors":{"authors":[{"text":"Berg, Alexis","contributorId":187496,"corporation":false,"usgs":false,"family":"Berg","given":"Alexis","email":"","affiliations":[],"preferred":false,"id":684042,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Findell, Kirsten","contributorId":189170,"corporation":false,"usgs":false,"family":"Findell","given":"Kirsten","affiliations":[],"preferred":false,"id":684043,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lintner, Benjamin","contributorId":189171,"corporation":false,"usgs":false,"family":"Lintner","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":684044,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Giannini, Alessandra","contributorId":189172,"corporation":false,"usgs":false,"family":"Giannini","given":"Alessandra","email":"","affiliations":[],"preferred":false,"id":684045,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Seneviratne, Sonia I.","contributorId":189173,"corporation":false,"usgs":false,"family":"Seneviratne","given":"Sonia","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":684046,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"van den Hurk, Bart","contributorId":187495,"corporation":false,"usgs":false,"family":"van den Hurk","given":"Bart","email":"","affiliations":[],"preferred":false,"id":684047,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lorenz, Ruth","contributorId":187491,"corporation":false,"usgs":false,"family":"Lorenz","given":"Ruth","email":"","affiliations":[],"preferred":false,"id":684048,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pitman, Andy","contributorId":189174,"corporation":false,"usgs":false,"family":"Pitman","given":"Andy","email":"","affiliations":[],"preferred":false,"id":684049,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hagemann, Stefan","contributorId":187499,"corporation":false,"usgs":false,"family":"Hagemann","given":"Stefan","email":"","affiliations":[],"preferred":false,"id":684050,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Meier, Arndt","contributorId":187500,"corporation":false,"usgs":false,"family":"Meier","given":"Arndt","email":"","affiliations":[],"preferred":false,"id":684051,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Cheruy, Frederique","contributorId":189175,"corporation":false,"usgs":false,"family":"Cheruy","given":"Frederique","email":"","affiliations":[],"preferred":false,"id":684052,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ducharne, Agnes","contributorId":189176,"corporation":false,"usgs":false,"family":"Ducharne","given":"Agnes","email":"","affiliations":[],"preferred":false,"id":684053,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Malyshev, Sergey","contributorId":189177,"corporation":false,"usgs":false,"family":"Malyshev","given":"Sergey","affiliations":[],"preferred":false,"id":684054,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Milly, Paul C. D. 0000-0003-4389-3139 cmilly@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-3139","contributorId":176836,"corporation":false,"usgs":true,"family":"Milly","given":"Paul","email":"cmilly@usgs.gov","middleInitial":"C. D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":684041,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70182733,"text":"70182733 - 2016 - Three whole-wood isotopic reference materials, USGS54, USGS55, and USGS56, for δ2H, δ13C, δ15N, and δ18O measurements","interactions":[],"lastModifiedDate":"2017-02-27T15:26:51","indexId":"70182733","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Three whole-wood isotopic reference materials, USGS54, USGS55, and USGS56, for δ2H, δ13C, δ15N, and δ18O measurements","docAbstract":"<p id=\"sp0070\">Comparative measurements of stable hydrogen and oxygen isotopes in wood are hampered by the lack of proper reference materials (RMs). The U.S. Geological Survey (USGS) has prepared three powdered, whole-wood RMs, USGS54 (<i>Pinus contorta</i>, Canadian lodgepole pine), USGS55 (<i>Cordia</i> cf. <i>dodecandra</i>, Mexican ziricote), and USGS56 (<i>Berchemia</i> cf. <i>zeyheri</i>, South African red ivorywood). The stable isotopes of hydrogen, oxygen, carbon, and nitrogen in these RMs span ranges as <i>δ</i><sup>2</sup>H<sub>VSMOW</sub> from –150.4 to –28.2&nbsp;mUr or ‰, as <i>δ</i><sup>18</sup>O<sub>VSMOW</sub> from +&nbsp;17.79 to +&nbsp;27.23&nbsp;mUr, as <i>δ</i><sup>13</sup>C<sub>VPDB</sub> from –27.13 to –24.34&nbsp;mUr, and as <i>δ</i><sup>15</sup>N <sub>AIR-N2</sub> from –2.42 to +&nbsp;1.8&nbsp;mUr. These RMs will enable users to normalize measurements of wood samples to isotope–delta scales, and they are intended primarily for the normalization of <i>δ</i><sup>2</sup>H and <i>δ</i><sup>18</sup>O measurements of unknown wood samples. However, they also are suitable for normalization of stable isotope measurements of carbon and nitrogen in wood samples. In addition, these RMs are suitable for inter-laboratory calibration for the dual-water suilibration procedure for the measurements of <i>δ</i><sup>2</sup>H<sub>VSMOW</sub> values of non-exchangeable hydrogen. The isotopic compositions with 1-σ uncertainties, mass fractions of each element, and fractions of exchangeable hydrogen of these materials are:</p><p id=\"sp0075\">USGS54 (<i>Pinus contorta</i>, Canadian Lodgepole pine)</p><p id=\"sp0080\"><i>δ</i><sup>2</sup>H<sub>VSMOW</sub>&nbsp;=&nbsp;–150.4&nbsp;±&nbsp;1.1&nbsp;mUr (n&nbsp;=&nbsp;29), hydrogen mass fraction&nbsp;=&nbsp;6.00&nbsp;±&nbsp;0.04 % (n&nbsp;=&nbsp;10)</p><p id=\"sp0085\">Fraction of exchangeable hydrogen&nbsp;=&nbsp;5.4&nbsp;±&nbsp;0.6 % (n&nbsp;=&nbsp;29)</p><p id=\"sp0090\"><i>δ</i><sup>18</sup>O<sub>VSMOW</sub>&nbsp;=&nbsp;+&nbsp;17.79&nbsp;±&nbsp;0.15&nbsp;mUr (n&nbsp;=&nbsp;18), oxygen mass fraction&nbsp;=&nbsp;40.4&nbsp;±&nbsp;0.2 % (n&nbsp;=&nbsp;6)</p><p id=\"sp0095\"><i>δ</i><sup>13</sup>C<sub>VPDB</sub>&nbsp;=&nbsp;–24.43&nbsp;±&nbsp;0.02&nbsp;mUr (n&nbsp;=&nbsp;18), carbon mass fraction&nbsp;=&nbsp;48.3&nbsp;±&nbsp;0.4 % (n&nbsp;=&nbsp;12)</p><p id=\"sp0100\"><i>δ</i><sup>15</sup>N<sub>AIR-</sub><sub>N2</sub>&nbsp;=&nbsp;–2.42&nbsp;±&nbsp;0.32&nbsp;mUr (n&nbsp;=&nbsp;17), nitrogen mass fraction&nbsp;=&nbsp;0.05 % (n&nbsp;=&nbsp;4)</p><p id=\"sp0105\">USGS55 (<i>Cordia</i> cf. <i>dodecandra</i>, Mexican ziricote)</p><p id=\"sp0110\"><i>δ</i><sup>2</sup>H<sub>VSMOW</sub>&nbsp;=&nbsp;–28.2&nbsp;±&nbsp;1.7&nbsp;mUr (n&nbsp;=&nbsp;30), hydrogen mass fraction&nbsp;=&nbsp;5.65&nbsp;±&nbsp;0.06 % (n&nbsp;=&nbsp;10)</p><p id=\"sp0115\">Fraction of exchangeable hydrogen&nbsp;=&nbsp;4.1&nbsp;±&nbsp;0.5 % (n&nbsp;=&nbsp;30)</p><p id=\"sp0120\"><i>δ</i><sup>18</sup>O<sub>VSMOW</sub>&nbsp;=&nbsp;+&nbsp;19.12&nbsp;±&nbsp;0.07&nbsp;mUr (n&nbsp;=&nbsp;18), oxygen mass fraction&nbsp;=&nbsp;35.3&nbsp;±&nbsp;0.2 % (n&nbsp;=&nbsp;6)</p><p id=\"sp0125\"><i>δ</i><sup>13</sup>C<sub>VPDB</sub>&nbsp;=&nbsp;–27.13&nbsp;± 0.02&nbsp;mUr (n&nbsp;=&nbsp;18), carbon mass fraction&nbsp;=&nbsp;53.3&nbsp;±&nbsp;0.6 % (n&nbsp;=&nbsp;12)</p><p id=\"sp0130\"><i>δ</i><sup>15</sup>N<sub>AIR-N2</sub>&nbsp;=&nbsp;–0.3&nbsp;±&nbsp;0.4&nbsp;mUr (n&nbsp;=&nbsp;16), nitrogen mass fraction&nbsp;=&nbsp;0.25 % (n&nbsp;=&nbsp;4)</p><p id=\"sp0135\">USGS56 (<i>Berchemia</i> cf. <i>zeyheri</i>, South African red ivorywood)</p><p id=\"sp0140\"><i>δ</i><sup>2</sup>H<sub>VSMOW</sub>&nbsp;=&nbsp;–44.0&nbsp;±&nbsp;1.8&nbsp;mUr (n&nbsp;=&nbsp;30), hydrogen mass fraction&nbsp;=&nbsp;5.65&nbsp;±&nbsp;0.05 % (n&nbsp;=&nbsp;10)</p><p id=\"sp0145\">Fraction of exchangeable hydrogen&nbsp;=&nbsp;6.6&nbsp;±&nbsp;0.3 % (n&nbsp;=&nbsp;30)</p><p id=\"sp0150\"><i>δ</i><sup>18</sup>O<sub>VSMOW</sub>&nbsp;=&nbsp;+&nbsp;27.23&nbsp;±&nbsp;0.03&nbsp;mUr (n&nbsp;=&nbsp;12), oxygen mass fraction&nbsp;=&nbsp;41.1&nbsp;±&nbsp;0.2 % (n&nbsp;=&nbsp;6)</p><p id=\"sp0155\"><i>δ</i><sup>13</sup>C<sub>VPDB</sub>&nbsp;=&nbsp;–24.34&nbsp;±&nbsp;0.01&nbsp;mUr (n&nbsp;=&nbsp;12), carbon mass fraction&nbsp;=&nbsp;47.3&nbsp;±&nbsp;0.2 % (n&nbsp;=&nbsp;12)</p><p id=\"sp0160\"><i>δ</i><sup>15</sup>N<sub>AIR-N2</sub>&nbsp;=&nbsp;+&nbsp;1.8&nbsp;±&nbsp;0.4&nbsp;mUr (n&nbsp;=&nbsp;15), nitrogen mass fraction&nbsp;=&nbsp;0.27 % (n&nbsp;=&nbsp;4)</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2016.07.017","usgsCitation":"Qi, H., Coplen, T.B., and Jordan, J.A., 2016, Three whole-wood isotopic reference materials, USGS54, USGS55, and USGS56, for δ2H, δ13C, δ15N, and δ18O measurements: Chemical Geology, v. 442, p. 47-53, https://doi.org/10.1016/j.chemgeo.2016.07.017.","productDescription":"7 p. ","startPage":"47","endPage":"53","ipdsId":"IP-076497","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":336304,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"442","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b548bee4b01ccd54fddfaa","contributors":{"authors":[{"text":"Qi, Haiping 0000-0002-8339-744X haipingq@usgs.gov","orcid":"https://orcid.org/0000-0002-8339-744X","contributorId":507,"corporation":false,"usgs":true,"family":"Qi","given":"Haiping","email":"haipingq@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":673486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":673487,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jordan, James A.","contributorId":184070,"corporation":false,"usgs":false,"family":"Jordan","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":673488,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70184430,"text":"70184430 - 2016 - Scale-dependent seasonal pool habitat use by sympatric Wild Brook Trout and Brown Trout populations","interactions":[],"lastModifiedDate":"2017-03-09T11:56:05","indexId":"70184430","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Scale-dependent seasonal pool habitat use by sympatric Wild Brook Trout and Brown Trout populations","docAbstract":"<p><span>Sympatric populations of native Brook Trout </span><i>Salvelinus fontinalis</i><span> and naturalized Brown Trout </span><i>Salmo trutta</i><span>exist throughout the eastern USA. An understanding of habitat use by sympatric populations is of importance for fisheries management agencies because of the close association between habitat and population dynamics. Moreover, habitat use by stream-dwelling salmonids may be further complicated by several factors, including the potential for fish to display scale-dependent habitat use. Discrete-choice models were used to (1) evaluate fall and early winter daytime habitat use by sympatric Brook Trout and Brown Trout populations based on available residual pool habitat within a stream network and (2) assess the sensitivity of inferred habitat use to changes in the spatial scale of the assumed available habitat. Trout exhibited an overall preference for pool habitats over nonpool habitats; however, the use of pools was nonlinear over time. Brook Trout displayed a greater preference for deep residual pool habitats than for shallow pool and nonpool habitats, whereas Brown Trout selected for all pool habitat categories similarly. Habitat use by both species was found to be scale dependent. At the smallest spatial scale (50 m), habitat use was primarily related to the time of year and fish weight. However, at larger spatial scales (250 and 450 m), habitat use varied over time according to the study stream in which a fish was located. Scale-dependent relationships in seasonal habitat use by Brook Trout and Brown Trout highlight the importance of considering scale when attempting to make inferences about habitat use; fisheries managers may want to consider identifying the appropriate spatial scale when devising actions to restore and protect Brook Trout populations and their habitats.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2016.1167777","usgsCitation":"Davis, L.A., and Wagner, T., 2016, Scale-dependent seasonal pool habitat use by sympatric Wild Brook Trout and Brown Trout populations: Transactions of the American Fisheries Society, v. 145, p. 888-902, https://doi.org/10.1080/00028487.2016.1167777.","productDescription":"15 p.","startPage":"888","endPage":"902","ipdsId":"IP-071257","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":337175,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Hunts Run Watershed ","volume":"145","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-29","publicationStatus":"PW","scienceBaseUri":"58c277d8e4b014cc3a3e76b3","contributors":{"authors":[{"text":"Davis, Lori A.","contributorId":187762,"corporation":false,"usgs":false,"family":"Davis","given":"Lori","email":"","middleInitial":"A.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":681596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":681459,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70191147,"text":"70191147 - 2016 - Assessing the role of climate and resource management on groundwater dependent ecosystem changes in arid environments with the Landsat archive","interactions":[],"lastModifiedDate":"2017-09-27T17:15:13","indexId":"70191147","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the role of climate and resource management on groundwater dependent ecosystem changes in arid environments with the Landsat archive","docAbstract":"<p><span>Groundwater dependent ecosystems (GDEs) rely on near-surface groundwater. These systems are receiving more attention with rising air temperature, prolonged drought, and where groundwater pumping captures natural groundwater discharge for anthropogenic use. Phreatophyte shrublands, meadows, and riparian areas are GDEs that provide critical habitat for many sensitive species, especially in arid and semi-arid environments. While GDEs are vital for ecosystem services and function, their long-term (i.e. ~</span><span>&nbsp;</span><span>30</span><span>&nbsp;</span><span>years) spatial and temporal variability is poorly understood with respect to local and regional scale climate, groundwater, and rangeland management. In this work, we compute time series of NDVI derived from sensors of the Landsat TM, ETM</span><span>&nbsp;</span><span>+, and OLI lineage for assessing GDEs in a variety of land and water management contexts. Changes in vegetation vigor based on climate, groundwater availability, and land management in arid landscapes are detectable with Landsat. However, the effective quantification of these ecosystem changes can be undermined if changes in spectral bandwidths between different Landsat sensors introduce biases in derived vegetation indices, and if climate, and land and water management histories are not well understood. The objective of this work is to 1) use the Landsat 8 under-fly dataset to quantify differences in spectral reflectance and NDVI between Landsat 7 ETM</span><span>&nbsp;</span><span>+ and Landsat 8 OLI for a range of vegetation communities in arid and semiarid regions of the southwestern United States, and 2) demonstrate the value of 30-year historical vegetation index and climate datasets for assessing GDEs. Specific study areas were chosen to represent a range of GDEs and environmental conditions important for three scenarios: baseline monitoring of vegetation and climate, riparian restoration, and groundwater level changes. Google's Earth Engine cloud computing and environmental monitoring platform is used to rapidly access and analyze the Landsat archive along with downscaled North American Land Data Assimilation System gridded meteorological data, which are used for both atmospheric correction and correlation analysis. Results from the cross-sensor comparison indicate a benefit from the application of a consistent atmospheric correction method, and that NDVI derived from Landsat 7 and 8 are very similar within the study area. Results from continuous Landsat time series analysis clearly illustrate that there are strong correlations between changes in vegetation vigor, precipitation, evaporative demand, depth to groundwater, and riparian restoration. Trends in summer NDVI associated with riparian restoration and groundwater level changes were found to be statistically significant, and interannual summer NDVI was found to be moderately correlated to interannual water-year precipitation for baseline study sites. Results clearly highlight the complementary relationship between water-year PPT, NDVI, and evaporative demand, and are consistent with regional vegetation index and complementary relationship studies. This work is supporting land and water managers for evaluation of GDEs with respect to climate, groundwater, and resource management.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2016.07.004","usgsCitation":"Huntington, J., McGwire, K.C., Morton, C., Snyder, K.A., Peterson, S., Erickson, T., Niswonger, R., Carroll, R.W., Smith, G., and Allen, R., 2016, Assessing the role of climate and resource management on groundwater dependent ecosystem changes in arid environments with the Landsat archive: Remote Sensing of Environment, v. 185, p. 186-197, https://doi.org/10.1016/j.rse.2016.07.004.","productDescription":"12 p.","startPage":"186","endPage":"197","ipdsId":"IP-072882","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":470547,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2016.07.004","text":"Publisher Index Page"},{"id":346143,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"185","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59ccb8a6e4b017cf314383de","contributors":{"authors":[{"text":"Huntington, Justin","contributorId":33413,"corporation":false,"usgs":true,"family":"Huntington","given":"Justin","affiliations":[],"preferred":false,"id":711359,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGwire, Kenneth C.","contributorId":140699,"corporation":false,"usgs":false,"family":"McGwire","given":"Kenneth","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":711360,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morton, Charles","contributorId":178787,"corporation":false,"usgs":false,"family":"Morton","given":"Charles","affiliations":[],"preferred":false,"id":711361,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Snyder, Keirith A.","contributorId":178786,"corporation":false,"usgs":false,"family":"Snyder","given":"Keirith","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":711362,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peterson, Sarah","contributorId":196734,"corporation":false,"usgs":false,"family":"Peterson","given":"Sarah","affiliations":[],"preferred":false,"id":711363,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Erickson, Tyler","contributorId":196735,"corporation":false,"usgs":false,"family":"Erickson","given":"Tyler","affiliations":[],"preferred":false,"id":711364,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Niswonger, Richard G. rniswon@usgs.gov","contributorId":140377,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard G.","email":"rniswon@usgs.gov","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":false,"id":711365,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Carroll, Rosemary W.H.","contributorId":39928,"corporation":false,"usgs":true,"family":"Carroll","given":"Rosemary","email":"","middleInitial":"W.H.","affiliations":[],"preferred":false,"id":711366,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smith, Guy","contributorId":196736,"corporation":false,"usgs":false,"family":"Smith","given":"Guy","email":"","affiliations":[],"preferred":false,"id":711367,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Allen, Richard","contributorId":86694,"corporation":false,"usgs":true,"family":"Allen","given":"Richard","affiliations":[],"preferred":false,"id":711368,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70185048,"text":"70185048 - 2016 - Comment on “Reconciliation of the Devils Hole climate record with orbital forcing”","interactions":[],"lastModifiedDate":"2017-03-13T16:12:26","indexId":"70185048","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Comment on “Reconciliation of the Devils Hole climate record with orbital forcing”","docAbstract":"<p><span>Moseley </span><i>et al</i><span>.’s (Reports, 8 January 2016, p. 165) preferred-Termination-II age is subjective, as evidenced by variation in their Termination-II ages of 2500 years per meter. Termination-II-age bias decreases to zero at ~1.5 meters below the present-day water table, if one assumes linear variation with core-sample height. Maintaining the required gradient of thorium isotope </span><sup>230</sup><span>Th over 3.6 meters for 1000 years, much less 10,000 years, seems exceedingly unlikely.</span></p>","language":"English","publisher":"Science","doi":"10.1126/science.aaf8074","usgsCitation":"Coplen, T.B., 2016, Comment on “Reconciliation of the Devils Hole climate record with orbital forcing”: Science, v. 354, no. 6310, p. 296-296, https://doi.org/10.1126/science.aaf8074.","productDescription":"1 p.","startPage":"296","endPage":"296","ipdsId":"IP-074724","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":337467,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"354","issue":"6310","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c7af9ee4b0849ce9795e90","chorus":{"doi":"10.1126/science.aaf8074","url":"http://dx.doi.org/10.1126/science.aaf8074","publisher":"American Association for the Advancement of Science (AAAS)","authors":"Coplen Tyler B.","journalName":"Science","publicationDate":"10/20/2016","publiclyAccessibleDate":"9/10/2018"},"contributors":{"authors":[{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":684073,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70179079,"text":"70179079 - 2016 - Do rivermouths alter nutrient and seston delivery to the nearshore?","interactions":[],"lastModifiedDate":"2017-02-15T14:11:03","indexId":"70179079","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Do rivermouths alter nutrient and seston delivery to the nearshore?","docAbstract":"<ol id=\"fwb12827-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li>Tributary inputs to lakes and seas are often measured at riverine gages, upstream of lentic influence. Between these riverine gages and the nearshore zones of large waterbodies lie rivermouths, which may retain, transform and contribute materials to the nearshore zone. However, the magnitude and timing of these rivermouth effects have rarely been measured.</li><li>During the summer of 2011, 23 tributary systems of the Laurentian Great Lakes were sampled from river to nearshore for dissolved and particulate carbon (C), nitrogen (N) and phosphorus (P) concentrations, as well as bulk seston and chlorophyll <i>a</i> concentrations. Three locations per system were sampled: in the upstream river, in the nearshore zone and at the outflow from the rivermouth to the lake. Using stable oxygen isotopes, a water-mixing model was developed to estimate the nutrient concentration that would occur at the rivermouth if mixing was strictly conservative (i.e. if no processing occurred within the rivermouth). Deviations between these conservative mixing estimates and measured nutrient concentrations were identified as rivermouth effects on nutrient concentrations.</li><li>Rivermouths had higher concentration of C and P than nearshore areas and more chlorophyll <i>a</i>than upstream river waters. Compared to the conservative mixing model, rivermouths as a class appeared to be summer-time sources of N, P and chlorophyll <i>a</i>. Substantial among rivermouth variation occurred both in the effect size and direction for all constituents.</li><li>Using principal component analysis, two groups of rivermouths were identified: rivermouths that had a large effect on most constituents and those that had very little effect on any of the measured constituents. ‘High-effect’ rivermouths had more abundant upstream croplands, which were presumably the sources of inorganic nutrients. Cross-validated models built using characteristics of the rivermouth were not good predictors of variation in rivermouth effects on most constituents.</li><li>For consumers feeding on seston and microbes and vascular autotrophs directly taking up dissolved nutrients, rivermouths are more resource-rich than upstream riverine or nearby Great Lakes waters. Given declines over time in open-lake productivity within the Great Lakes, rivermouths may contribute more productivity than their size would suggest to the Great Lakes food web.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/fwb.12827","usgsCitation":"Larson, J.H., Frost, P.C., Vallazza, J., Nelson, J.C., and Richardson, W.B., 2016, Do rivermouths alter nutrient and seston delivery to the nearshore?: Freshwater Biology, v. 61, no. 11, p. 1935-1949, https://doi.org/10.1111/fwb.12827.","productDescription":"15 p.","startPage":"1935","endPage":"1949","ipdsId":"IP-069318","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":332188,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":335593,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7WQ01XF","text":"Do rivermouths alter nutrient and seston delivery to the nearshore?"}],"volume":"61","issue":"11","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-06","publicationStatus":"PW","scienceBaseUri":"5853ba3fe4b0e2663625f2b6","contributors":{"authors":[{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":655950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frost, Paul C.","contributorId":138628,"corporation":false,"usgs":false,"family":"Frost","given":"Paul","email":"","middleInitial":"C.","affiliations":[{"id":12467,"text":"Department of Biology, Trent University, Peterborough, ON  CA","active":true,"usgs":false}],"preferred":false,"id":655951,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vallazza, Jon M. jvallazza@usgs.gov","contributorId":139282,"corporation":false,"usgs":true,"family":"Vallazza","given":"Jon M.","email":"jvallazza@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":655952,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, John C. 0000-0002-7105-0107 jcnelson@usgs.gov","orcid":"https://orcid.org/0000-0002-7105-0107","contributorId":149361,"corporation":false,"usgs":true,"family":"Nelson","given":"John","email":"jcnelson@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":655953,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richardson, William B. 0000-0002-7471-4394 wrichardson@usgs.gov","orcid":"https://orcid.org/0000-0002-7471-4394","contributorId":3277,"corporation":false,"usgs":true,"family":"Richardson","given":"William","email":"wrichardson@usgs.gov","middleInitial":"B.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":655954,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70185051,"text":"70185051 - 2016 - Estimation of time-variable fast flow path chemical concentrations for application in tracer-based hydrograph separation analyses","interactions":[],"lastModifiedDate":"2017-03-13T16:21:41","indexId":"70185051","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Estimation of time-variable fast flow path chemical concentrations for application in tracer-based hydrograph separation analyses","docAbstract":"<p><span>Mixing models are a commonly used method for hydrograph separation, but can be hindered by the subjective choice of the end-member tracer concentrations. This work tests a new variant of mixing model that uses high-frequency measures of two tracers and streamflow to separate total streamflow into water from slowflow and fastflow sources. The ratio between the concentrations of the two tracers is used to create a time-variable estimate of the concentration of each tracer in the fastflow end-member. Multiple synthetic data sets, and data from two hydrologically diverse streams, are used to test the performance and limitations of the new model (two-tracer ratio-based mixing model: TRaMM). When applied to the synthetic streams under many different scenarios, the TRaMM produces results that were reasonable approximations of the actual values of fastflow discharge (±0.1% of maximum fastflow) and fastflow tracer concentrations (±9.5% and ±16% of maximum fastflow nitrate concentration and specific conductance, respectively). With real stream data, the TRaMM produces high-frequency estimates of slowflow and fastflow discharge that align with expectations for each stream based on their respective hydrologic settings. The use of two tracers with the TRaMM provides an innovative and objective approach for estimating high-frequency fastflow concentrations and contributions of fastflow water to the stream. This provides useful information for tracking chemical movement to streams and allows for better selection and implementation of water quality management strategies.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1002/2016WR018797","usgsCitation":"Kronholm, S.C., and Capel, P.D., 2016, Estimation of time-variable fast flow path chemical concentrations for application in tracer-based hydrograph separation analyses: Water Resources Research, v. 52, no. 9, p. 6881-6896, https://doi.org/10.1002/2016WR018797.","productDescription":"16 p.","startPage":"6881","endPage":"6896","ipdsId":"IP-075597","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":470473,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016wr018797","text":"Publisher Index Page"},{"id":438519,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71R6NMQ","text":"USGS data release","linkHelpText":"Real and synthetic data used to test the Two-tracer Ratio-based Mixing Model (TRaMM)"},{"id":337470,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-10","publicationStatus":"PW","scienceBaseUri":"58c7af9ee4b0849ce9795e8e","contributors":{"authors":[{"text":"Kronholm, Scott C.","contributorId":184190,"corporation":false,"usgs":false,"family":"Kronholm","given":"Scott","email":"","middleInitial":"C.","affiliations":[{"id":12644,"text":"University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":684079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Capel, Paul D. 0000-0003-1620-5185 capel@usgs.gov","orcid":"https://orcid.org/0000-0003-1620-5185","contributorId":1002,"corporation":false,"usgs":true,"family":"Capel","given":"Paul","email":"capel@usgs.gov","middleInitial":"D.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":684078,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70178649,"text":"70178649 - 2016 - Temperature and hydrology affect methane emissions from Prairie Pothole Wetlands","interactions":[],"lastModifiedDate":"2017-04-27T10:07:14","indexId":"70178649","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Temperature and hydrology affect methane emissions from Prairie Pothole Wetlands","docAbstract":"<p><span>The Prairie Pothole Region (PPR) in central North America consists of millions of depressional wetlands that each have considerable potential to emit methane (CH</span><sub>4</sub><span>). Changes in temperature and hydrology in the PPR from climate change may affect methane fluxes from these wetlands. To assess the potential effects of changes in climate on methane emissions, we examined the relationships between flux rates and temperature or water depth using six years of bi-weekly flux measurements during the snow-free period from six temporarily ponded and six permanently ponded wetlands in North Dakota, USA. Methane flux rates were among the highest reported for freshwater wetlands, and had considerable spatial and temporal variation. Methane flux rates increased with increasing temperature and water depth, and were especially high when conditions were warmer </span><i class=\"EmphasisTypeItalic \">and</i><span> wetter than average (163&nbsp;±&nbsp;28&nbsp;mg CH</span><sub>4</sub><span> m</span><sup>−2</sup><span>&nbsp;h</span><sup>−1</sup><span>) compared to warmer </span><i class=\"EmphasisTypeItalic \">and</i><span> drier (37&nbsp;±&nbsp;7&nbsp;mg CH</span><sub>4</sub><span> m</span><sup>−2</sup><span>&nbsp;h</span><sup>−1</sup><span>). Methane emission rates from permanent wetlands were less sensitive to changes in temperature and water depth compared to temporary wetlands, likely due to higher sulfate concentrations in permanent wetlands. While the predicted increase in temperature with climate change will likely increase methane emission rates from PPR wetlands, drier conditions could moderate these increases.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s13157-016-0826-8","usgsCitation":"Bansal, S., Tangen, B., and Finocchiaro, R., 2016, Temperature and hydrology affect methane emissions from Prairie Pothole Wetlands: Wetlands, v. 36, no. s2, p. 371-381, https://doi.org/10.1007/s13157-016-0826-8.","productDescription":"11 p.","startPage":"371","endPage":"381","ipdsId":"IP-073125","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":331417,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"s2","noUsgsAuthors":false,"publicationDate":"2016-09-29","publicationStatus":"PW","scienceBaseUri":"584144dee4b04fc80e507392","contributors":{"authors":[{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":654711,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tangen, Brian 0000-0001-5157-9882 btangen@usgs.gov","orcid":"https://orcid.org/0000-0001-5157-9882","contributorId":167277,"corporation":false,"usgs":true,"family":"Tangen","given":"Brian","email":"btangen@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":654712,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finocchiaro, Raymond 0000-0002-5514-8729 rfinocchiaro@usgs.gov","orcid":"https://orcid.org/0000-0002-5514-8729","contributorId":167278,"corporation":false,"usgs":true,"family":"Finocchiaro","given":"Raymond","email":"rfinocchiaro@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":654713,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70179804,"text":"70179804 - 2016 - Regional meteorological drivers and long term trends of winter-spring nitrate dynamics across watersheds in northeastern North America","interactions":[],"lastModifiedDate":"2017-01-19T10:24:25","indexId":"70179804","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Regional meteorological drivers and long term trends of winter-spring nitrate dynamics across watersheds in northeastern North America","docAbstract":"This study evaluated the contribution of winter rain-on-snow (ROS) events to annual and seasonal nitrate (N-NO3) export and identified the regional meteorological drivers of inter-annual variability in ROS N-NO3 export (ROS-N) at 9 headwater streams located across Ontario, Canada and the northeastern United States. Although on average only 3.3 % of annual precipitation fell as ROS during winter over the study period, these events contributed a significant proportion of annual and winter N-NO3 export at the majority of sites (average of 12 and 42 %, respectively); with the exception of the most northern catchment, where total winter precipitation was exceptionally low (average 77 mm). In years with a greater magnitude of ROS events, the timing of the peak N-NO3 export period (during spring melt) was redistributed to earlier in the year. Variability in ROS frequency and magnitude amongst sites was high and a generalised linear model demonstrated that this spatial variability could be explained by interactive effects between regional and site-specific drivers. Snowpack coverage was particularly important for explaining the site-specific ROS response. Specifically, ROS events were less common when higher temperatures eliminated snow cover despite increasing the proportion of winter rainfall, whereas ROS event frequency was greater at sites where sufficient snow cover remained. This research suggests that catchment response to changes in N deposition is sensitive to climate change; a vulnerability which appears to vary in intensity throughout the seasonally snow-covered temperate region. Furthermore, the sensitivity of stream N-NO3 export to ROS events and potential shifts (earlier) in the timing of N-NO3 export relative to other nutrients affect downstream nutrient stoichiometry and the community composition of phytoplankton and other algae.","language":"English","publisher":"Springer International Publishing Switzerland","doi":"10.1007/s10533-016-0255-z","collaboration":"USGS","usgsCitation":"Crossman, J., Eimers, M.C., Casson, N.J., Burns, D.A., Campbell, J.L., Likens, G.E., Mitchell, M., Nelson, S.J., Shanley, J.B., Watmough, S.A., and Webster, K.L., 2016, Regional meteorological drivers and long term trends of winter-spring nitrate dynamics across watersheds in northeastern North America: Biogeochemistry, v. 130, no. 3, p. 247-265, https://doi.org/10.1007/s10533-016-0255-z.","productDescription":"19 p. ","startPage":"247","endPage":"265","ipdsId":"IP-073759","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":333424,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":333335,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007/s10533-016-0255-z"}],"country":"Canada, United States","state":"Maine, New Hampshire, New York, Ontario,Vermont","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.94873046875,\n              41.77131167976407\n            ],\n            [\n              -74.94873046875,\n              42.342305278572816\n            ],\n            [\n              -74.091796875,\n              42.342305278572816\n           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Catherine","contributorId":178409,"corporation":false,"usgs":false,"family":"Eimers","given":"M","email":"","middleInitial":"Catherine","affiliations":[],"preferred":false,"id":658760,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Casson, Nora J.","contributorId":169271,"corporation":false,"usgs":false,"family":"Casson","given":"Nora","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":658761,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burns, Douglas A. 0000-0001-6516-2869 daburns@usgs.gov","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":1237,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas","email":"daburns@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":658758,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Campbell, John L.","contributorId":178410,"corporation":false,"usgs":false,"family":"Campbell","given":"John","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":658762,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Likens, Gene E","contributorId":178411,"corporation":false,"usgs":false,"family":"Likens","given":"Gene","email":"","middleInitial":"E","affiliations":[],"preferred":false,"id":658763,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mitchell, Myron J","contributorId":178412,"corporation":false,"usgs":false,"family":"Mitchell","given":"Myron J","affiliations":[],"preferred":false,"id":658764,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nelson, Sarah J.","contributorId":167269,"corporation":false,"usgs":false,"family":"Nelson","given":"Sarah","email":"","middleInitial":"J.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":658767,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":658765,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Watmough, Shaun A.","contributorId":178413,"corporation":false,"usgs":false,"family":"Watmough","given":"Shaun","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":658766,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Webster, Kara L","contributorId":178414,"corporation":false,"usgs":false,"family":"Webster","given":"Kara","email":"","middleInitial":"L","affiliations":[],"preferred":false,"id":658768,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70176359,"text":"ofr20161152 - 2016 - Bedrock morphology and structure, upper Santa Cruz Basin, south-central Arizona, with transient electromagnetic survey data","interactions":[],"lastModifiedDate":"2016-11-01T11:23:24","indexId":"ofr20161152","displayToPublicDate":"2016-10-31T16:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1152","title":"Bedrock morphology and structure, upper Santa Cruz Basin, south-central Arizona, with transient electromagnetic survey data","docAbstract":"<p>The upper Santa Cruz Basin is an important groundwater basin containing the regional aquifer for the city of Nogales, Arizona. This report provides data and interpretations of data aimed at better understanding the bedrock morphology and structure of the upper Santa Cruz Basin study area which encompasses the Rio Rico and Nogales 1:24,000-scale U.S. Geological Survey quadrangles. Data used in this report include the Arizona Aeromagnetic and Gravity Maps and Data referred to here as the 1996 Patagonia Aeromagnetic survey, Bouguer gravity anomaly data, and conductivity-depth transforms (CDTs) from the 1998 Santa Cruz transient electromagnetic survey (whose data are included in appendixes 1 and 2 of this report).</p><p>Analyses based on magnetic gradients worked well to identify the range-front faults along the Mt. Benedict horst block, the location of possibly fault-controlled canyons to the west of Mt. Benedict, the edges of buried lava flows, and numerous other concealed faults and contacts. Applying the 1996 Patagonia aeromagnetic survey data using the horizontal gradient method produced results that were most closely correlated with the observed geology.</p><p>The 1996 Patagonia aeromagnetic survey was used to estimate depth to bedrock in the upper Santa Cruz Basin study area. Three different depth estimation methods were applied to the data: Euler deconvolution, horizontal gradient magnitude, and analytic signal. The final depth to bedrock map was produced by choosing the maximum depth from each of the three methods at a given location and combining all maximum depths. In locations of rocks with a known reversed natural remanent magnetic field, gravity based depth estimates from Gettings and Houser (1997) were used.</p><p>The depth to bedrock map was supported by modeling aeromagnetic anomaly data along six profiles. These cross sectional models demonstrated that by using the depth to bedrock map generated in this study, known and concealed faults, measured and estimated magnetic susceptibilities of rocks found in the study area, and estimated natural remanent magnetic intensities and directions, reasonable geologic models can be built. This indicates that the depth to bedrock map is reason-able and geologically possible.</p><p>Finally, CDTs derived from the 1998 Santa Cruz Basin transient electromagnetic survey were used to help identify basin structure and some physical properties of the basin fill in the study area. The CDTs also helped to confirm depth to bedrock estimates in the Santa Cruz Basin, in particular a region of elevated bedrock in the area of Potrero Canyon, and a deep basin in the location of the Arizona State Highway 82 microbasin. The CDTs identified many concealed faults in the study area and possibly indicate deep water-saturated clay-rich sediments in the west-central portion of the study area. These sediments grade to more sand-rich saturated sediments to the south with relatively thick, possibly unsaturated, sediments at the surface. Also, the CDTs may indicate deep saturated clay-rich sediments in the Highway 82 microbasin and in the Mount Benedict horst block from Proto Canyon south to the international border.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161152","usgsCitation":"Bultman, M.W., and Page, W.R., 2016, Bedrock morphology and structure, upper Santa Cruz Basin, south-central Arizona, with transient electromagnetic survey data: U.S. Geological Survey Open-File Report 2016–1152, 49 p., https://dx.doi.org/10.3133/ofr20161152.","productDescription":"Report: viii, 49 p.; 2 Plates: 36.00 x 37.00 inches and 38.00 x 36.50 inches; 2 Appendixes; Read Me","numberOfPages":"60","onlineOnly":"Y","ipdsId":"IP-060430","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":330512,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2016/1152/ofr20161152_Appendix1.zip","text":"Appendix 1. Santa Cruz Transient Electromagnetic Survey Conductivity-Depth Transforms (CDT) Plots","size":"11.7 MB","linkFileType":{"id":6,"text":"zip"},"description":"OFR 2016-1152 Appendix 1"},{"id":330439,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1152/coverthb.jpg"},{"id":330513,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2016/1152/ofr20161152_Appendix2.zip","text":"Appendix 2. Santa Cruz Transient Electromagnetic Survey Data","size":"45.6 MB","linkFileType":{"id":6,"text":"zip"},"description":"OFR 2016-1152 Appendix 2"},{"id":330440,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1152/ofr20161152.pdf","text":"Report","size":"8.93 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1152 Report"},{"id":330441,"rank":3,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/of/2016/1152/ofr2011152_Readme.txt","text":"Read Me","size":"8.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2016-1152 Read Me"},{"id":330514,"rank":6,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2016/1152/ofr20161152_plate_1.pdf","text":"Plate 1 Map showing potential field boundaries plotted over upper Santa Cruz Basin study area geology","size":"135 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1152 Plate 1"},{"id":330515,"rank":7,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2016/1152/ofr20161152_plate_2.pdf","text":"Plate 2 Map showing conductivity-depth transforms plotted over upper Santa Cruz Basin study area geology","size":"101 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1152 Plate 2"}],"country":"United States","state":"Arizona","otherGeospatial":"Upper Santa Cruz Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.74356079101562,\n              31.33604401284106\n            ],\n            [\n              -110.74356079101562,\n              31.77837995377096\n            ],\n            [\n              -111.18026733398438,\n              31.77837995377096\n            ],\n            [\n              -111.181640625,\n              31.36653633110671\n            ],\n            [\n              -111.07452392578125,\n              31.33252503230784\n            ],\n            [\n              -110.74356079101562,\n              31.33604401284106\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Center Director, USGS Geosciences and Environmental Change Science Center<br>Box 25046, Mail Stop 980<br>Denver, CO 80225</p><p><a href=\"http://gec.cr.usgs.gov/\" data-mce-href=\"http://gec.cr.usgs.gov/\">http://gec.cr.usgs.gov/</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Geologic Setting of the Study Area</li><li>Previous Geophysical Analysis and Depth to Bedrock Estimates</li><li>Potential Field Data and Analysis in the Study Area</li><li>Transient Electromagnetic Data and Analysis</li><li>Conclusions</li><li>Possible Additional Work</li><li>References Cited</li><li>Appendix 1. Santa Cruz Transient Electromagnetic Survey Conductivity-Depth Transforms (CDT) Plots</li><li>Appendix 2. Santa Cruz Transient Electromagnetic Survey Data</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2016-10-31","noUsgsAuthors":false,"publicationDate":"2016-10-31","publicationStatus":"PW","scienceBaseUri":"5818582be4b0bb36a4c6f9f9","contributors":{"authors":[{"text":"Bultman, Mark W. 0000-0001-8352-101X mbultman@usgs.gov","orcid":"https://orcid.org/0000-0001-8352-101X","contributorId":3348,"corporation":false,"usgs":true,"family":"Bultman","given":"Mark","email":"mbultman@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":648506,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Page, William R. 0000-0002-0722-9911 rpage@usgs.gov","orcid":"https://orcid.org/0000-0002-0722-9911","contributorId":1628,"corporation":false,"usgs":true,"family":"Page","given":"William","email":"rpage@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":648507,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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