{"pageNumber":"858","pageRowStart":"21425","pageSize":"25","recordCount":184606,"records":[{"id":70197299,"text":"70197299 - 2018 - Substrate and flow characteristics associated with White Sturgeon recruitment in the Columbia River Basin","interactions":[],"lastModifiedDate":"2018-05-29T11:39:20","indexId":"70197299","displayToPublicDate":"2018-05-29T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5211,"text":"Heliyon","active":true,"publicationSubtype":{"id":10}},"title":"Substrate and flow characteristics associated with White Sturgeon recruitment in the Columbia River Basin","docAbstract":"A study was conducted to identify habitat characteristics associated with age 0+ White Sturgeon (Acipenser transmontanus Richardson, 1863) recruitment in three reaches of the Columbia River Basin: Skamania reach (consistent recruitment), John Day reach (intermittent/inconsistent recruitment), and Kootenai reach (no recruitment). Our modeling approach involved numerous steps. First, we collected information about substrate, embeddedness, and hydrodynamics in each reach. Second, we developed a set of spatially explicit predictor variables. Third, we built two habitat (probability) models with Skamania reach training data where White Sturgeon recruitment was consistent. Fourth, we created spawning maps of each reach by populating the habitat models with in-reach physical metrics (substrate, embeddedness, and hydrodynamics). Fifth, we examined model accuracy by overlaying spawning locations in Skamania and Kootenai reaches with habitat predictions obtained from probability models. Sixth, we simulated how predicted habitat changed in each reach after manipulating physical conditions to more closely match Skamania reach. Model verification confirmed White Sturgeon generally spawned in locations with higher model probabilities in Skamania and Kootenai reaches, indicating the utility of extrapolating the models. Model simulations revealed significant gains in White Sturgeon habitat in all reaches when spring flow increased, gravel/cobble composition increased, or embeddedness decreased. The habitat models appear well suited to assist managers when identifying reach-specific factors limiting White Sturgeon recruitment in the Columbia River Basin or throughout its range.","language":"English","publisher":"Elsevier","doi":"10.1016/j.heliyon.2018.e00629","usgsCitation":"Hatten, J.R., Parsley, M., Barton, G., Batt, T., and Fosness, R.L., 2018, Substrate and flow characteristics associated with White Sturgeon recruitment in the Columbia River Basin: Heliyon, v. 4, no. 5, e00629; 28 p., https://doi.org/10.1016/j.heliyon.2018.e00629.","productDescription":"e00629; 28 p.","ipdsId":"IP-090113","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":468726,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.heliyon.2018.e00629","text":"Publisher Index Page"},{"id":354516,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Oregon, Washington","otherGeospatial":"Columbia River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.94775390625,\n              45.120052841530544\n            ],\n            [\n              -114.01611328125,\n              45.120052841530544\n            ],\n            [\n              -114.01611328125,\n              49.32512199104001\n            ],\n            [\n              -123.94775390625,\n              49.32512199104001\n            ],\n            [\n              -123.94775390625,\n              45.120052841530544\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"4","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b155d76e4b092d9651e1b24","contributors":{"authors":[{"text":"Hatten, James R. 0000-0003-4676-8093 jhatten@usgs.gov","orcid":"https://orcid.org/0000-0003-4676-8093","contributorId":3431,"corporation":false,"usgs":true,"family":"Hatten","given":"James","email":"jhatten@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":736576,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parsley, Michael 0000-0003-0097-6364 mparsley@usgs.gov","orcid":"https://orcid.org/0000-0003-0097-6364","contributorId":205229,"corporation":false,"usgs":true,"family":"Parsley","given":"Michael","email":"mparsley@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":736577,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barton, Gary gbarton@usgs.gov","contributorId":205230,"corporation":false,"usgs":true,"family":"Barton","given":"Gary","email":"gbarton@usgs.gov","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":736578,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Batt, Thomas","contributorId":205231,"corporation":false,"usgs":false,"family":"Batt","given":"Thomas","affiliations":[{"id":37060,"text":"No longer with USGS but using USGS WFRC affiliation on MS","active":true,"usgs":false}],"preferred":false,"id":736579,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fosness, Ryan L. 0000-0003-4089-2704 rfosness@usgs.gov","orcid":"https://orcid.org/0000-0003-4089-2704","contributorId":2703,"corporation":false,"usgs":true,"family":"Fosness","given":"Ryan","email":"rfosness@usgs.gov","middleInitial":"L.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":736580,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70197296,"text":"70197296 - 2018 - Fish community responses to submerged aquatic vegetation in Maumee Bay, Western Lake Erie","interactions":[],"lastModifiedDate":"2018-07-03T11:15:54","indexId":"70197296","displayToPublicDate":"2018-05-29T00:00:00","publicationYear":"2018","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":"Fish community responses to submerged aquatic vegetation in Maumee Bay, Western Lake Erie","docAbstract":"Submerged aquatic vegetation (SAV) in clearwater systems simultaneously provides habitat for invertebrate prey and acts as refugia for small fishes. Many fishes in Lake Erie rely on shallow, heavily vegetated bays as spawning grounds and the loss or absence of which is known to reduce recruitment in other systems. The Maumee River and Maumee Bay, which once had abundant macrophyte beds, have experienced a decline of SAV and an increase in suspended solids (turbidity) over the last century due to numerous causes. To compare fish communities in open‐water (turbid) and in SAV (clearer water) habitats in this region, which is designated by the U.S. Environmental Protection Agency as an Area of Concern, and to indicate community changes that could occur with expansion of SAV habitat, we sampled a 300‐ha sector of northern Maumee Bay that contained both habitats. Using towed neuston nets through patches of each habitat, we determined that areas of SAV contained more species and a different species complex (based on the Jaccard index and the wetland fish index), than did the open‐water habitat (averaging 8.6 versus 5 species per net trawl). The SAV habitat was dominated by centrarchids, namely Largemouth Bass Micropterus salmoides, Bluegill Lepomis macrochirus, and Black Crappie Pomoxis nigromaculatus. Open‐water habitat was dominated by Spottail Shiner Notropis hudsonius, Gizzard Shad Dorosoma cepedianum, and White Perch Morone americana, an invasive species. These results indicate that restoration efforts aimed at decreasing turbidity and increasing the distribution of SAV could cause substantive shifts in the fish community and address important metrics for assessing the beneficial use impairments in this Area of Concern.","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10061","usgsCitation":"Miller, J., Kocovsky, P., Wiegmann, D., and Miner, J.G., 2018, Fish community responses to submerged aquatic vegetation in Maumee Bay, Western Lake Erie: North American Journal of Fisheries Management, v. 38, no. 3, p. 623-629, https://doi.org/10.1002/nafm.10061.","productDescription":"7 p.","startPage":"623","endPage":"629","ipdsId":"IP-078053","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":354518,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United Stats","state":"Michigan, Ohio","otherGeospatial":"Maumee Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.48227500915527,\n              41.73039410466992\n            ],\n            [\n              -83.42562675476074,\n              41.73039410466992\n            ],\n            [\n              -83.42562675476074,\n              41.76657451658189\n            ],\n            [\n              -83.48227500915527,\n              41.76657451658189\n            ],\n            [\n              -83.48227500915527,\n              41.73039410466992\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"38","issue":"3","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-25","publicationStatus":"PW","scienceBaseUri":"5b155d76e4b092d9651e1b26","contributors":{"authors":[{"text":"Miller, Jacob","contributorId":205222,"corporation":false,"usgs":false,"family":"Miller","given":"Jacob","email":"","affiliations":[{"id":13587,"text":"Bowling Green State University","active":true,"usgs":false}],"preferred":false,"id":736569,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kocovsky, Patrick 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":150837,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":736568,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiegmann, Daniel","contributorId":205224,"corporation":false,"usgs":false,"family":"Wiegmann","given":"Daniel","email":"","affiliations":[{"id":13587,"text":"Bowling Green State University","active":true,"usgs":false}],"preferred":false,"id":736571,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miner, Jeffery G.","contributorId":150965,"corporation":false,"usgs":false,"family":"Miner","given":"Jeffery","email":"","middleInitial":"G.","affiliations":[{"id":13587,"text":"Bowling Green State University","active":true,"usgs":false}],"preferred":false,"id":736570,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70220881,"text":"70220881 - 2018 - USGS critical minerals review","interactions":[],"lastModifiedDate":"2021-05-27T13:04:08.7805","indexId":"70220881","displayToPublicDate":"2018-05-27T08:02:09","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"USGS critical minerals review","docAbstract":"<div><p>The United States’ supply of critical minerals has been a concern and a source of potential strategic vulnerabilities for U.S. economic and national security interests for decades (for example, see Strategic and Critical Minerals Stockpiling Act, 1939). More recently, with the rapid increase in the types of materials being used in advanced technologies (Fortier et al. 2018a), and geopolitical events surrounding the supply of rare earth elements (Ting and Seaman, 2013), among other developments, the critical minerals issue has again achieved a high level of visibility within the U.S. government (Executive Order 13817 (2017)).&nbsp;</p></div>","language":"English","publisher":"Society of Mining, Metallurgy, and Exploration","usgsCitation":"Fortier, S.M., Hammarstrom, J.M., Ryker, S.J., Day, W.C., and Seal, R.R., 2018, USGS critical minerals review: Mining Engineering, v. 71, no. 5, p. 35-35.","productDescription":"1 p.","startPage":"35","endPage":"35","ipdsId":"IP-128156","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":385999,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":385998,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://me.smenet.org/abstract.cfm?preview=1&articleID=8926"}],"volume":"71","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fortier, Steven M. 0000-0001-8123-5749","orcid":"https://orcid.org/0000-0001-8123-5749","contributorId":202406,"corporation":false,"usgs":true,"family":"Fortier","given":"Steven","email":"","middleInitial":"M.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":816555,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hammarstrom, Jane M. 0000-0003-2742-3460 jhammars@usgs.gov","orcid":"https://orcid.org/0000-0003-2742-3460","contributorId":1226,"corporation":false,"usgs":true,"family":"Hammarstrom","given":"Jane","email":"jhammars@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":816560,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ryker, Sarah J. 0000-0002-1004-5611 sryker@usgs.gov","orcid":"https://orcid.org/0000-0002-1004-5611","contributorId":4100,"corporation":false,"usgs":true,"family":"Ryker","given":"Sarah","email":"sryker@usgs.gov","middleInitial":"J.","affiliations":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true}],"preferred":true,"id":816557,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Day, Warren C. 0000-0002-9278-2120 wday@usgs.gov","orcid":"https://orcid.org/0000-0002-9278-2120","contributorId":1308,"corporation":false,"usgs":true,"family":"Day","given":"Warren","email":"wday@usgs.gov","middleInitial":"C.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":816561,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Seal, Robert R. 0000-0002-0993-1499 rseal@usgs.gov","orcid":"https://orcid.org/0000-0002-0993-1499","contributorId":258824,"corporation":false,"usgs":true,"family":"Seal","given":"Robert","email":"rseal@usgs.gov","middleInitial":"R.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":816562,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70220876,"text":"70220876 - 2018 - North American net import reliance of mineral materials in 2014 for advanced technologies","interactions":[],"lastModifiedDate":"2021-05-27T15:06:03.048913","indexId":"70220876","displayToPublicDate":"2018-05-27T07:55:45","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"North American net import reliance of mineral materials in 2014 for advanced technologies","docAbstract":"<div><p>The U.S. Geological Survey and Natural Resources Canada conducted a study on the net import reliance of each North American country, and the impact of North American trade on the net import reliance of 12 nonfuel mineral commodities that are associated with advanced technology products: cadmium, cobalt, gallium, germanium, graphite, indium, lithium, nickel, rare earth elements, selenium, silver and tellurium. The combined results for North America, using 2014 data, showed greatly reduced net import reliance for nearly all of the commodities evaluated, which is largely the result of pooling the resources of production and recovery in Canada and Mexico of materials that are consumed in the United States. This study highlights the mitigation of potential supply risk for critical materials that results from trade within the North American trade bloc.</p></div>","language":"English","publisher":"Society for Mining, Metallurgy and Exploration","doi":"10.19150/ME.8365","usgsCitation":"Brainard, J.L., Sinclair, R.G., Stone, K., Scott Sangine, E., and Fortier, S.M., 2018, North American net import reliance of mineral materials in 2014 for advanced technologies: Mining Engineering, v. 70, no. 7, p. 107-112, https://doi.org/10.19150/ME.8365.","productDescription":"6 p.","startPage":"107","endPage":"112","ipdsId":"IP-093464","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":468728,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.19150/me.8365","text":"Publisher Index Page"},{"id":385997,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"70","issue":"7","noUsgsAuthors":false,"publicationDate":"2018-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Brainard, Jamie L. 0000-0002-1712-0821","orcid":"https://orcid.org/0000-0002-1712-0821","contributorId":201465,"corporation":false,"usgs":true,"family":"Brainard","given":"Jamie","middleInitial":"L.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":816542,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sinclair, Robert G","contributorId":258817,"corporation":false,"usgs":false,"family":"Sinclair","given":"Robert","email":"","middleInitial":"G","affiliations":[{"id":7219,"text":"Natural Resources Canada","active":true,"usgs":false}],"preferred":false,"id":816543,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stone, Kevin","contributorId":258818,"corporation":false,"usgs":false,"family":"Stone","given":"Kevin","email":"","affiliations":[{"id":7219,"text":"Natural Resources Canada","active":true,"usgs":false}],"preferred":false,"id":816544,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scott Sangine, Elizabeth 0000-0003-4768-633X","orcid":"https://orcid.org/0000-0003-4768-633X","contributorId":207884,"corporation":false,"usgs":true,"family":"Scott Sangine","given":"Elizabeth","email":"","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":816545,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fortier, Steven M. 0000-0001-8123-5749","orcid":"https://orcid.org/0000-0001-8123-5749","contributorId":202406,"corporation":false,"usgs":true,"family":"Fortier","given":"Steven","email":"","middleInitial":"M.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":816546,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70198761,"text":"70198761 - 2018 - Range expansion in unfavorable environments through behavioral responses to microclimatic conditions: Moose (Alces americanus) as the model","interactions":[],"lastModifiedDate":"2018-11-21T15:20:48","indexId":"70198761","displayToPublicDate":"2018-05-26T10:48:16","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2653,"text":"Mammalian Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Range expansion in unfavorable environments through behavioral responses to microclimatic conditions: Moose <i>(Alces americanus)</i> as the model","title":"Range expansion in unfavorable environments through behavioral responses to microclimatic conditions: Moose (Alces americanus) as the model","docAbstract":"<p><span>Wildlife populations&nbsp;occurring at the edge of their range boundaries are thought to be the most sensitive to&nbsp;climate change&nbsp;due to temperatures being at or near the limit of a species’ thermal envelope. Moose (</span><i>Alces americanus</i><span>) are a cold adapted species that are showing&nbsp;population declines&nbsp;in some portions of the southern edge of their range. However, other moose populations are actively expanding southward into thermally stressful areas. The direct effects of temperature on moose have not yet been studied in these southwardly expanding populations and may offer insights into how moose are successfully establishing in areas at the edge of their thermal envelope. We used&nbsp;ambient temperature&nbsp;and&nbsp;GPScollar data from moose to quantify the direct effect of temperature on moose&nbsp;habitat use&nbsp;in Massachusetts, USA, which is one of these southwardly expanding populations. The mean daily temperature in our study area exceeded the reported physiological tolerances of moose in over 90% of daytime and 75% of nighttime locations in summer and in over 80% of daytime and 67% of nighttime locations in winter. Across seasons and times of day, moose preferred regenerating forest, but as&nbsp;ambient air&nbsp;temperatures increased, selection for regenerating forest declined and selection for forested&nbsp;wetlands&nbsp;and&nbsp;coniferous forestincreased. This response indicates moose are altering their behavior to utilize thermal shelters when temperatures are high. We observed higher temperatures and stronger&nbsp;behavioral responses&nbsp;than other studies at the southern edge of moose range. We found habitat for moose in Massachusetts is climatically marginal and loss of habitat, increase in&nbsp;parasites, and further climatic warming may cause population declines in the future.</span></p>","language":"English","publisher":"Elsevier ","doi":"10.1016/j.mambio.2018.05.009","usgsCitation":"Zeller, K.A., Wattles, D.W., and DeStefano, S., 2018, Range expansion in unfavorable environments through behavioral responses to microclimatic conditions: Moose (Alces americanus) as the model: Mammalian Biology, v. 93, p. 189-197, https://doi.org/10.1016/j.mambio.2018.05.009.","productDescription":"9 p.","startPage":"189","endPage":"197","ipdsId":"IP-096685","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":356622,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"93","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a2bbe4b0702d0e842fd1","contributors":{"authors":[{"text":"Zeller, Katherine A.","contributorId":204574,"corporation":false,"usgs":false,"family":"Zeller","given":"Katherine","email":"","middleInitial":"A.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":742886,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wattles, David W.","contributorId":204573,"corporation":false,"usgs":false,"family":"Wattles","given":"David","email":"","middleInitial":"W.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":742885,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeStefano, Stephen 0000-0003-2472-8373 destef@usgs.gov","orcid":"https://orcid.org/0000-0003-2472-8373","contributorId":166706,"corporation":false,"usgs":true,"family":"DeStefano","given":"Stephen","email":"destef@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":742884,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70205809,"text":"70205809 - 2018 - Using turbidity measurements to estimate total phosphorus and sediment flux in a Great Lakes coastal wetland","interactions":[],"lastModifiedDate":"2019-10-07T10:06:30","indexId":"70205809","displayToPublicDate":"2018-05-26T09:56:26","publicationYear":"2018","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":"Using turbidity measurements to estimate total phosphorus and sediment flux in a Great Lakes coastal wetland","docAbstract":"Coastal wetlands around the Laurentian Great Lakes in North America have the potential to intercept surface water coming off of the landscape and reduce the amount of nutrients and sediment entering the lakes. However, extensive coastal wetland areas have been isolated behind dikes and thus have limited interaction with nutrient-rich waters that contribute to harmful algal blooms and other water-quality issues. In this study, we developed a method to use high-frequency measurements of discharge and turbidity to estimate sediment and total phosphorus retention in a hydrologically reconnected coastal wetland. We found sediment and total phosphorus retention to be episodic and highly related to fluctuations in water level. Low water levels in Lake Erie in late 2012 resulted in low retention in the wetland, but sediment and total phosphorus retention increased as water levels rose in the first half of 2013. Overall, the reconnected wetland was a sink for both total phosphorus and suspended sediment and locally reduced phosphorus loading rates to Lake Erie. Additional wetland reconnection projects have the potential to further reduce phosphorus and sediment loading rates, which could improve local water quality and ecosystem health.","language":"English","publisher":"Springer","doi":"10.1007/s13157-018-1044-3","usgsCitation":"Baustian, J.J., Kowalski, K., and Czayka, A., 2018, Using turbidity measurements to estimate total phosphorus and sediment flux in a Great Lakes coastal wetland: Wetlands, v. 5, no. 38, p. 1059-1065, https://doi.org/10.1007/s13157-018-1044-3.","productDescription":"7 p.","startPage":"1059","endPage":"1065","ipdsId":"IP-085004","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":368031,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Crane Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.25233459472656,\n              41.605431236301456\n            ],\n            [\n              -83.17105293273926,\n              41.605431236301456\n            ],\n            [\n              -83.17105293273926,\n              41.646107652521614\n            ],\n            [\n              -83.25233459472656,\n              41.646107652521614\n            ],\n            [\n              -83.25233459472656,\n              41.605431236301456\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"5","issue":"38","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Baustian, Joseph J.","contributorId":195568,"corporation":false,"usgs":false,"family":"Baustian","given":"Joseph","email":"","middleInitial":"J.","affiliations":[{"id":34312,"text":"The Nature Conservancy, Baton Rouge, LA, USA","active":true,"usgs":false}],"preferred":false,"id":772442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":772441,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Czayka, Alex","contributorId":191324,"corporation":false,"usgs":false,"family":"Czayka","given":"Alex","email":"","affiliations":[],"preferred":false,"id":772443,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70199190,"text":"70199190 - 2018 - Generalizing linear stream features to preserve sinuosity for analysis and display: A pilot study in multi-scale data science","interactions":[],"lastModifiedDate":"2018-11-21T16:22:18","indexId":"70199190","displayToPublicDate":"2018-05-25T16:21:00","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"Generalizing linear stream features to preserve sinuosity for analysis and display: A pilot study in multi-scale data science","docAbstract":"Cartographic generalization can impact geometric properties of geospatial data and subsequent analyses. This study evaluates simplification methods with the goal of preserving geometric details, such as sinuosity. We evaluate two recently developed line simplification algorithms that introduce Steiner points: Raposo’s Spatial Means, and Kronenfeld’s new area-preserving segment collapse algorithm, and compare them with several well-known algorithms.  Results indicate the area-preserving segment collapse algorithm optimally simplifies linear stream features with minimal horizontal displacement and the best retention of sinuosity.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Conference Proceedings, 22nd International Research Symposium on Computer-based Cartography and GIScience","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"22nd International Research Symposium on Computer-based Cartography and GIScience","conferenceDate":"May 22-24, 2018","conferenceLocation":"Madison, Wisconsin, USA","language":"English","publisher":"Cartography and Geographic Information Society and the University Consortium on Geographic Information Science","usgsCitation":"Stanislawski, L.V., Kronenfeld, B.J., Buttenfield, B.P., and Brockmeyer, T., 2018, Generalizing linear stream features to preserve sinuosity for analysis and display: A pilot study in multi-scale data science, <i>in</i> Conference Proceedings, 22nd International Research Symposium on Computer-based Cartography and GIScience, Madison, Wisconsin, USA, May 22-24, 2018, p. 111-119.","productDescription":"9 p.","startPage":"111","endPage":"119","ipdsId":"IP-096478","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":359645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":357161,"type":{"id":15,"text":"Index Page"},"url":"https://www.ucgis.org/symposium-2018"}],"publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bf67cf4e4b045bfcae2cffc","contributors":{"authors":[{"text":"Stanislawski, Larry V. 0000-0002-9437-0576 lstan@usgs.gov","orcid":"https://orcid.org/0000-0002-9437-0576","contributorId":3386,"corporation":false,"usgs":true,"family":"Stanislawski","given":"Larry","email":"lstan@usgs.gov","middleInitial":"V.","affiliations":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":744614,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kronenfeld, Barry J. 0000-0002-9518-2462","orcid":"https://orcid.org/0000-0002-9518-2462","contributorId":207104,"corporation":false,"usgs":false,"family":"Kronenfeld","given":"Barry","email":"","middleInitial":"J.","affiliations":[{"id":5043,"text":"Eastern Illinois University","active":true,"usgs":false}],"preferred":false,"id":744615,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buttenfield, Barbara P. 0000-0001-5961-5809","orcid":"https://orcid.org/0000-0001-5961-5809","contributorId":206887,"corporation":false,"usgs":false,"family":"Buttenfield","given":"Barbara","email":"","middleInitial":"P.","affiliations":[{"id":16144,"text":"University of Colorado-Boulder","active":true,"usgs":false}],"preferred":false,"id":744616,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brockmeyer, Tyler","contributorId":207756,"corporation":false,"usgs":true,"family":"Brockmeyer","given":"Tyler","email":"","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":744617,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70196085,"text":"fs20183019 - 2018 - Assessment of undiscovered conventional oil and gas resources in the downdip Paleogene formations, U.S. Gulf Coast, 2017","interactions":[],"lastModifiedDate":"2018-07-13T13:12:10","indexId":"fs20183019","displayToPublicDate":"2018-05-25T16:00:00","publicationYear":"2018","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":"2018-3019","title":"Assessment of undiscovered conventional oil and gas resources in the downdip Paleogene formations, U.S. Gulf Coast, 2017","docAbstract":"<p>Using a geology-based assessment methodology, the U.S. Geological Survey estimated mean undiscovered, technically recoverable conventional resources of 100 million barrels of oil and 16.5 trillion cubic feet of gas in the downdip Paleogene formations in onshore lands and State waters of the U.S. Gulf Coast region.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183019","usgsCitation":"Buursink, M.L., Doolan, C.A., Enomoto, C.B., Craddock, W.H., Coleman, J.L., Jr., Brownfield, M.E., Gaswirth, S.B., Klett, T.R., Le, P.A., Leathers-Miller, H.M., Marra, K.R., Mercier, T.J., Pearson, O.N., Pitman, J.K., Schenk, C.J., Tennyson, M.E., Whidden, K.J., and Woodall, C.A., 2018, Assessment of undiscovered conventional oil and gas resources in the downdip Paleogene formations, U.S. Gulf Coast, 2017: U.S. Geological Survey Fact Sheet 2018–3019, 4 p., https://doi.org/10.3133/fs20183019.","productDescription":"4 p.","onlineOnly":"N","ipdsId":"IP-092823","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":354456,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3019/coverthb2.jpg"},{"id":354457,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3019/fs20183019.pdf","text":"Report","size":"4.10 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3019"}],"country":"United States","state":"Louisiana, Texas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -99.5,\n              25.8\n            ],\n            [\n              -88.5,\n              25.8\n            ],\n            [\n              -88.5,\n              30.939924331023445\n            ],\n            [\n              -99.5,\n              30.939924331023445\n            ],\n            [\n              -99.5,\n              25.8\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto: gd-energyprogram@usgs.gov\" data-mce-href=\"mailto: gd-energyprogram@usgs.gov\">Director</a>, <a href=\"http://energy.usgs.gov/\" data-mce-href=\"http://energy.usgs.gov/\">Eastern Energy Resources Science Center</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive, MS-954<br>Reston, VA 20192</p>","tableOfContents":"<ul><li>Introduction</li><li>Geologic Model for Assessment</li><li>Assessment Units</li><li>Undiscovered Resources Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2018-05-25","noUsgsAuthors":false,"publicationDate":"2018-05-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Buursink, Marc L. 0000-0001-6491-386X mbuursink@usgs.gov","orcid":"https://orcid.org/0000-0001-6491-386X","contributorId":3362,"corporation":false,"usgs":true,"family":"Buursink","given":"Marc","email":"mbuursink@usgs.gov","middleInitial":"L.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":731262,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doolan, Colin A. 0000-0002-7595-7566 cdoolan@usgs.gov","orcid":"https://orcid.org/0000-0002-7595-7566","contributorId":3046,"corporation":false,"usgs":true,"family":"Doolan","given":"Colin","email":"cdoolan@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":731263,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Enomoto, Catherine B. 0000-0002-4119-1953 cenomoto@usgs.gov","orcid":"https://orcid.org/0000-0002-4119-1953","contributorId":2126,"corporation":false,"usgs":true,"family":"Enomoto","given":"Catherine","email":"cenomoto@usgs.gov","middleInitial":"B.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":731264,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Craddock, William H. 0000-0002-4181-4735 wcraddock@usgs.gov","orcid":"https://orcid.org/0000-0002-4181-4735","contributorId":3411,"corporation":false,"usgs":true,"family":"Craddock","given":"William","email":"wcraddock@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":731265,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coleman, James L. Jr. 0000-0002-5232-5849 jlcoleman@usgs.gov","orcid":"https://orcid.org/0000-0002-5232-5849","contributorId":549,"corporation":false,"usgs":true,"family":"Coleman","given":"James","suffix":"Jr.","email":"jlcoleman@usgs.gov","middleInitial":"L.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":731266,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brownfield, Michael E. 0000-0003-3633-1138 mbrownfield@usgs.gov","orcid":"https://orcid.org/0000-0003-3633-1138","contributorId":1548,"corporation":false,"usgs":true,"family":"Brownfield","given":"Michael","email":"mbrownfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":736446,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gaswirth, Stephanie B. 0000-0001-5821-6347 sgaswirth@usgs.gov","orcid":"https://orcid.org/0000-0001-5821-6347","contributorId":140068,"corporation":false,"usgs":true,"family":"Gaswirth","given":"Stephanie B.","email":"sgaswirth@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":736449,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Klett, Timothy R. 0000-0001-9779-1168 tklett@usgs.gov","orcid":"https://orcid.org/0000-0001-9779-1168","contributorId":147382,"corporation":false,"usgs":true,"family":"Klett","given":"Timothy","email":"tklett@usgs.gov","middleInitial":"R.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":736450,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Le, Phuong A. 0000-0003-2477-509X ple@usgs.gov","orcid":"https://orcid.org/0000-0003-2477-509X","contributorId":2151,"corporation":false,"usgs":true,"family":"Le","given":"Phuong A.","email":"ple@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":736452,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Leathers-Miller, Heidi M. 0000-0001-5208-9906 hleathers@usgs.gov","orcid":"https://orcid.org/0000-0001-5208-9906","contributorId":149262,"corporation":false,"usgs":true,"family":"Leathers-Miller","given":"Heidi","email":"hleathers@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":736453,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Marra, Kristen R. 0000-0001-8027-5255 kmarra@usgs.gov","orcid":"https://orcid.org/0000-0001-8027-5255","contributorId":4844,"corporation":false,"usgs":true,"family":"Marra","given":"Kristen","email":"kmarra@usgs.gov","middleInitial":"R.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":736454,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mercier, Tracey J. 0000-0002-8232-525X tmercier@usgs.gov","orcid":"https://orcid.org/0000-0002-8232-525X","contributorId":2847,"corporation":false,"usgs":true,"family":"Mercier","given":"Tracey","email":"tmercier@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":736455,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Pearson, Ofori N. 0000-0002-9550-1128 opearson@usgs.gov","orcid":"https://orcid.org/0000-0002-9550-1128","contributorId":1680,"corporation":false,"usgs":true,"family":"Pearson","given":"Ofori","email":"opearson@usgs.gov","middleInitial":"N.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":736456,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Pitman, Janet K. 0000-0002-0441-779X jpitman@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":767,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet","email":"jpitman@usgs.gov","middleInitial":"K.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":736457,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":736458,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Tennyson, Marilyn E. 0000-0002-5166-2421 tennyson@usgs.gov","orcid":"https://orcid.org/0000-0002-5166-2421","contributorId":149259,"corporation":false,"usgs":true,"family":"Tennyson","given":"Marilyn E.","email":"tennyson@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":736459,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Whidden, Katherine J. 0000-0002-7841-2553 kwhidden@usgs.gov","orcid":"https://orcid.org/0000-0002-7841-2553","contributorId":3960,"corporation":false,"usgs":true,"family":"Whidden","given":"Katherine","email":"kwhidden@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":736460,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Woodall, Cheryl A. 0000-0002-4844-5768 cwoodall@usgs.gob","orcid":"https://orcid.org/0000-0002-4844-5768","contributorId":194411,"corporation":false,"usgs":true,"family":"Woodall","given":"Cheryl A.","email":"cwoodall@usgs.gob","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":736461,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70210227,"text":"70210227 - 2018 - Trout in hot water: A call for global action","interactions":[],"lastModifiedDate":"2020-05-21T14:57:32.707776","indexId":"70210227","displayToPublicDate":"2018-05-25T09:54:20","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Trout in hot water: A call for global action","docAbstract":"Trout are one of the most culturally, economically, and ecologically important taxonomic groups of freshwater fishes worldwide (1). Native to all continents in the Northern Hemisphere, trout are a taxonomically diverse group of fishes belonging to 7 genera (Oncorhynchus, Salvelinus, Salmo, Hucho, Parahucho, Brachymystax, and Salvethymus) distributed across 52 countries. These coldwater specialists provide recreation and food to millions of people, and play important roles in ecosystem functioning and health (2). They are also extremely sensitive to human disturbances because they require cold, clean, complex, and connected habitats for survival and persistence (3) – all attributes that humans have substantially altered and degraded (4, 5). Despite their broad importance as societal icons and as indicators of biodiversity, many of the world’s trout species and lineages are endangered and some require immediate conservation efforts to reverse their precarious decline.","language":"English","publisher":"AAAS","doi":"10.1126/science.aat8455","usgsCitation":"Muhlfeld, C.C., Dauwalter, D., Kovach, R., Kershner, J.L., Williams, J.E., and Epifanio, J., 2018, Trout in hot water: A call for global action: Science, v. 360, no. 6391, p. 866-867, https://doi.org/10.1126/science.aat8455.","productDescription":"2 p.","startPage":"866","endPage":"867","ipdsId":"IP-097057","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":374993,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"360","issue":"6391","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":789658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dauwalter, Daniel C.","contributorId":224829,"corporation":false,"usgs":false,"family":"Dauwalter","given":"Daniel C.","affiliations":[{"id":37131,"text":"Trout Unlimited","active":true,"usgs":false}],"preferred":false,"id":789659,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kovach, Ryan 0000-0001-5402-2123 rkovach@usgs.gov","orcid":"https://orcid.org/0000-0001-5402-2123","contributorId":145914,"corporation":false,"usgs":true,"family":"Kovach","given":"Ryan","email":"rkovach@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":789660,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kershner, Jeffrey L. 0000-0002-7093-9860 jkershner@usgs.gov","orcid":"https://orcid.org/0000-0002-7093-9860","contributorId":310,"corporation":false,"usgs":true,"family":"Kershner","given":"Jeffrey","email":"jkershner@usgs.gov","middleInitial":"L.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":789662,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, Jack E.","contributorId":93774,"corporation":false,"usgs":true,"family":"Williams","given":"Jack","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":789663,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Epifanio, John","contributorId":139202,"corporation":false,"usgs":false,"family":"Epifanio","given":"John","email":"","affiliations":[],"preferred":false,"id":789661,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70198752,"text":"70198752 - 2018 - Short-term mortality and retention associated with tagging Age-0 walleye using passive integrated transponders (PITs) in the absence of anesthesia","interactions":[],"lastModifiedDate":"2019-01-28T09:26:34","indexId":"70198752","displayToPublicDate":"2018-05-25T09:45:57","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Short-term mortality and retention associated with tagging Age-0 walleye using passive integrated transponders (PITs) in the absence of anesthesia","docAbstract":"<p><span>The ability to individually mark juvenile fishes has important implications for fisheries management. For example, marking age-0 Walleye Sander vitreus could provide important information not provided by batch-marking, including individual variation in growth and estimates of length-dependent survival and recruitment. However, the relatively small size of age-0 Walleye in north temperate lakes has precluded use of many common tagging methods that provide information on individual fish (e.g., various anchor tags, jaw tags). Consequently, we evaluated short-term mortality and retention associated with using 12-mm passive integrated transponders (PITs) to mark age-0 Walleye (TL range = 93-216 mm; mean TL = 157 mm) by conducting 48-h within-lake net-pen trials and 7-d hatchery trials during September-October of 2015 and 2016. Age-0 Walleye were not anesthetized prior to PIT tagging. Our assessment allowed us to determine whether post-tagging mortality and PIT retention varied in relation to implant location (i.e., body cavity or pelvic girdle), fish length, and water temperature. During 2015, mean 48-h mortality rate of age-0 Walleye tagged with PITs in the body cavity was low (7%; SE = 3%) and did not differ from that of fish marked with only a fin clip (4%; SE = 2%) and reference fish (2%; SE = 1%). During 2016, mean mortality rates ranged from 2% (reference fish) to 6% (PIT inserted into pelvic girdle) and did not differ among treatments. During both years, mortality rates for nearly all treatments were highest (&amp;gt; 13%) when water temperatures were {greater than or equal to} 20°C, but decreased below 5% when water temperatures were {less than or equal to} 17°C. During 2016, dead age-0 Walleye in both PIT treatments were smaller than fish that survived. During the 7-d hatchery trials, mean mortality rates were higher for age-0 Walleye with PITs inserted into the body cavity (13%; SE = 4%) than fish that received a PIT in the pelvic girdle (4%; SE = 1%) and reference fish (4%; SE = 2%). Retention of PITs was high (&amp;gt; 96%) during all net-pen and hatchery trials. Collectively, our results suggest that PITs can be used to tag age-0 Walleye without anesthesia with the expectations of high initial retention and low mortality. Mortality rates may be minimized by implanting PITs into the pelvic girdle when water temperatures are {less than or equal to} 17°C.</span></p>","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/102017-JFWM-081","usgsCitation":"Dembkowski, D.J., Isermann, D.A., and Sass, G.G., 2018, Short-term mortality and retention associated with tagging Age-0 walleye using passive integrated transponders (PITs) in the absence of anesthesia: Journal of Fish and Wildlife Management, v. 9, no. 2, p. 393-401, https://doi.org/10.3996/102017-JFWM-081.","productDescription":"9 p.","startPage":"393","endPage":"401","ipdsId":"IP-090000","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468729,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/102017-jfwm-081","text":"Publisher Index Page"},{"id":356628,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-25","publicationStatus":"PW","scienceBaseUri":"5b98a2bbe4b0702d0e842fd3","contributors":{"authors":[{"text":"Dembkowski, Daniel J.","contributorId":207134,"corporation":false,"usgs":false,"family":"Dembkowski","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":742849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":742848,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sass, Greg G.","contributorId":207135,"corporation":false,"usgs":false,"family":"Sass","given":"Greg","email":"","middleInitial":"G.","affiliations":[{"id":16117,"text":"Wisconsin DNR","active":true,"usgs":false}],"preferred":false,"id":742850,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70197257,"text":"70197257 - 2018 - Use of created snags by cavity‐nesting birds across 25 years","interactions":[],"lastModifiedDate":"2018-08-31T10:58:00","indexId":"70197257","displayToPublicDate":"2018-05-25T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Use of created snags by cavity‐nesting birds across 25 years","docAbstract":"<p><span>Snags are important habitat features for many forest‐dwelling species, so reductions in the number of snags can lead to the loss of biodiversity in forest ecosystems. Intentional snag creation is often used in managed forests to mitigate the long‐term declines of naturally created snags, yet information regarding the use of snags by wildlife across long timescales (&gt;20 yr) is lacking and prevents a complete understanding of how the value of created snags change through time. We used a long‐term experiment to assess how harvest treatment (i.e., small‐patch group selection, 2‐story, and clearcut) and snag configuration (i.e., scattered and clustered) influenced nesting in and foraging on 25–27‐year‐old Douglas‐fir (</span><i>Pseudotsuga menziesii</i><span>) snags by cavity‐nesting birds. In addition, we compared our contemporary measures of bird use to estimates obtained from historical surveys conducted on the same group of snags to quantify how bird use changed over time. Despite observing created snags for &gt;750 hours across 2 consecutive breeding seasons, we found limited evidence of nesting activity. Only 11% of created snags were used for breeding, with nesting attempts by 4 bird species (</span><i>n </i><span>= 36 nests); however, we detected 12 cavity‐nesting species present on our study sites. Furthermore, nearly all nests (94%) belonged to the chestnut‐backed chickadee (</span><i>Poecile rufescens</i><span>), a weak cavity‐excavating species that requires well‐decayed wood for creating nest cavities. Our surveys also recorded few observations of birds using created snags as foraging substrates, with only 1 foraging event recorded for every 20 hours of observation. We detected 82% fewer nests and recorded 7% fewer foraging observations during contemporary field work despite spending &gt;7.5 times more effort observing created snags relative to historical surveys. We conclude that 25–27‐year‐old created Douglas‐fir snags provided limited opportunities for nesting and foraging by most cavity‐nesting birds, and that the period of greatest use by this group occurred within 5–15 years of creation.<span>&nbsp;</span></span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21489","usgsCitation":"Barry, A.M., Hagar, J., and Rivers, J.W., 2018, Use of created snags by cavity‐nesting birds across 25 years: Journal of Wildlife Management, v. 82, no. 7, p. 1376-1384, https://doi.org/10.1002/jwmg.21489.","productDescription":"9 p.","startPage":"1376","endPage":"1384","ipdsId":"IP-090269","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":354493,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-23","publicationStatus":"PW","scienceBaseUri":"5b155d77e4b092d9651e1b2e","contributors":{"authors":[{"text":"Barry, Amy M.","contributorId":196050,"corporation":false,"usgs":false,"family":"Barry","given":"Amy","email":"","middleInitial":"M.","affiliations":[{"id":7005,"text":"Department of Forest Ecosystems and Society, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":736437,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hagar, Joan 0000-0002-3044-6607 joan_hagar@usgs.gov","orcid":"https://orcid.org/0000-0002-3044-6607","contributorId":3369,"corporation":false,"usgs":true,"family":"Hagar","given":"Joan","email":"joan_hagar@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":736436,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rivers, James W.","contributorId":23072,"corporation":false,"usgs":false,"family":"Rivers","given":"James","email":"","middleInitial":"W.","affiliations":[{"id":7005,"text":"Department of Forest Ecosystems and Society, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":736438,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70197258,"text":"70197258 - 2018 - Long-term changes in pond permanence, size, and salinity in Prairie Pothole Region wetlands: The role of groundwater-pond interaction","interactions":[],"lastModifiedDate":"2018-05-25T10:10:36","indexId":"70197258","displayToPublicDate":"2018-05-25T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Long-term changes in pond permanence, size, and salinity in Prairie Pothole Region wetlands: The role of groundwater-pond interaction","docAbstract":"<div id=\"abst0010\"><p id=\"sect0015\"><strong>Study Region</strong></p><p id=\"spar0090\">Cottonwood Lake area wetlands, North Dakota, U.S.A.</p></div><div id=\"abst0015\"><p id=\"sect0020\"><strong>Study Focus</strong></p><p id=\"spar0095\">Fluctuations in pond permanence, size, and salinity are key features of prairie-pothole wetlands that provide a variety of wetland habitats for waterfowl in the northern prairie of North America. Observation of water-level and salinity fluctuations in a semi-permanent wetland pond over a 20-year period, included periods when the wetland occasionally was dry, as well as wetter years when the pond depth and surface extent doubled while volume increased 10 times.</p></div><div id=\"abst0020\"><p id=\"sect0025\"><strong>New hydrological insights for the study region</strong></p><p id=\"spar0100\">Compared to all other measured budget components, groundwater flow into the pond often contributed the least water (8–28 percent) but the largest amount (&gt;90 percent) of specific solutes to the water and solute budgets of the pond. In drier years flow from the pond into groundwater represented &gt; 10 percent of water loss, and in 1992 was approximately equal to evapotranspiration loss. Also during the drier years, export of calcium, magnesium, sodium, potassium, chloride, and sulfate by flow from the pond to groundwater was substantial compared with previous or subsequent years, a process that would have been undetected if groundwater flux had been calculated as a net value. Independent quantification of water and solute gains and losses were essential to understand controls on water-level and salinity fluctuations in the pond in response to variable climate conditions.</p></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2018.03.003","usgsCitation":"LaBaugh, J.W., Rosenberry, D.O., Mushet, D.M., Neff, B., Nelson, R., and Euliss, N.H., 2018, Long-term changes in pond permanence, size, and salinity in Prairie Pothole Region wetlands: The role of groundwater-pond interaction: Journal of Hydrology: Regional Studies, v. 17, p. 1-23, https://doi.org/10.1016/j.ejrh.2018.03.003.","productDescription":"23 p.","startPage":"1","endPage":"23","ipdsId":"IP-086270","costCenters":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"links":[{"id":468730,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2018.03.003","text":"Publisher Index Page"},{"id":354492,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b155d77e4b092d9651e1b2c","contributors":{"authors":[{"text":"LaBaugh, James W. 0000-0002-4112-2536 jlabaugh@usgs.gov","orcid":"https://orcid.org/0000-0002-4112-2536","contributorId":1311,"corporation":false,"usgs":true,"family":"LaBaugh","given":"James","email":"jlabaugh@usgs.gov","middleInitial":"W.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":736521,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":736522,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":736523,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Neff, Brian 0000-0003-3718-7350 bneff@usgs.gov","orcid":"https://orcid.org/0000-0003-3718-7350","contributorId":198885,"corporation":false,"usgs":true,"family":"Neff","given":"Brian","email":"bneff@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":736524,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nelson, Richard D.","contributorId":55338,"corporation":false,"usgs":true,"family":"Nelson","given":"Richard D.","affiliations":[],"preferred":false,"id":736525,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Euliss, Ned H. Jr. ceuliss@usgs.gov","contributorId":2916,"corporation":false,"usgs":true,"family":"Euliss","given":"Ned","suffix":"Jr.","email":"ceuliss@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":false,"id":736526,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70196717,"text":"sir20185061 - 2018 - Comparability among four invertebrate sampling methods and two multimetric indexes, Fountain Creek Basin, Colorado, 2010–2012","interactions":[],"lastModifiedDate":"2018-05-24T11:13:06","indexId":"sir20185061","displayToPublicDate":"2018-05-24T11:10:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5061","title":"Comparability among four invertebrate sampling methods and two multimetric indexes, Fountain Creek Basin, Colorado, 2010–2012","docAbstract":"<p>The U.S. Geological Survey (USGS), in cooperation with Colorado Springs City Engineering and Colorado Springs Utilities, analyzed previously collected invertebrate data to determine the comparability among four sampling methods and two versions (2010 and 2017) of the Colorado Benthic Macroinvertebrate Multimetric Index (MMI). For this study, annual macroinvertebrate samples were collected concurrently (in space and time) at 15 USGS surface-water gaging stations in the Fountain Creek Basin from 2010 to 2012 using four sampling methods. The USGS monitoring project in the basin uses two of the methods and the Colorado Department of Public Health and Environment recommends the other two. These methods belong to two distinct sample types, one that targets single habitats and one that targets multiple habitats. The study results indicate that there are significant differences in MMI values obtained from the single-habitat and multihabitat sample types but methods from each program within each sample type produced comparable values. This study also determined that MMI values calculated by different versions of the Colorado Benthic Macroinvertebrate MMI are indistinguishable. This indicates that the Colorado Department of Public Health and Environment methods are comparable with the USGS monitoring project methods for single-habitat and multihabitat sample types. This report discusses the direct application of the study results to inform the revision of the existing USGS monitoring project in the Fountain Creek Basin.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185061","collaboration":"Prepared in cooperation with Colorado Springs City Engineering and Colorado Springs Utilities","usgsCitation":"Bruce, J.F., Roberts, J.J., and Zuellig, R.E., 2018, Comparability among four invertebrate sampling methods and two multimetric indexes, Fountain Creek Basin, Colorado, 2010–2012: U.S. Geological Survey Scientific Investigations\nReport 2018–5061, 11 p., https://doi.org/10.3133/sir20185061.","productDescription":"Report: vi, 11 p.; Data release","numberOfPages":"22","onlineOnly":"Y","ipdsId":"IP-094808","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":354395,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5061/sir20185061.pdf","text":"Report","size":"908 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5061"},{"id":354396,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7VQ320K","text":"USGS data release","description":"USGS data release","linkHelpText":"Multimetric Index macroinvertebrate values from the Fountain Creek Basin, Colorado 2005 to 2016"},{"id":354394,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5061/coverthb.jpg"}],"country":"United States","state":"Colorado","city":"Colorado Springs, Pueblo","otherGeospatial":"Fountain Creek Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.35888671875,\n              38.1151107557172\n            ],\n            [\n              -104.05426025390625,\n              38.1151107557172\n            ],\n            [\n              -104.05426025390625,\n              39.16414104768742\n            ],\n            [\n              -105.35888671875,\n              39.16414104768742\n            ],\n            [\n              -105.35888671875,\n              38.1151107557172\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://co.water.usgs.gov/\" data-mce-href=\"https://co.water.usgs.gov/\">Colorado Water Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS 415<br>Denver, CO 80225</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Study Methods</li><li>Comparability Among Four Sampling Methods and Two Multimetric Indexes</li><li>Major Findings</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2018-05-24","noUsgsAuthors":false,"publicationDate":"2018-05-24","publicationStatus":"PW","scienceBaseUri":"5b155d77e4b092d9651e1b30","contributors":{"authors":[{"text":"Bruce, James F. 0000-0003-3125-2932 jbruce@usgs.gov","orcid":"https://orcid.org/0000-0003-3125-2932","contributorId":916,"corporation":false,"usgs":true,"family":"Bruce","given":"James","email":"jbruce@usgs.gov","middleInitial":"F.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":734088,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roberts, James 0000-0002-4193-610X jroberts@usgs.gov","orcid":"https://orcid.org/0000-0002-4193-610X","contributorId":5453,"corporation":false,"usgs":true,"family":"Roberts","given":"James","email":"jroberts@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":734089,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zuellig, Robert E. 0000-0002-4784-2905 rzuellig@usgs.gov","orcid":"https://orcid.org/0000-0002-4784-2905","contributorId":1620,"corporation":false,"usgs":true,"family":"Zuellig","given":"Robert","email":"rzuellig@usgs.gov","middleInitial":"E.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":734090,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70228194,"text":"70228194 - 2018 - Chesapeake Bay's water quality condition has been recovering: Insights from a multimetric indicator assessment of thirty years of tidal monitoring data","interactions":[],"lastModifiedDate":"2022-02-07T16:34:20.375127","indexId":"70228194","displayToPublicDate":"2018-05-24T10:29:28","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Chesapeake Bay's water quality condition has been recovering: Insights from a multimetric indicator assessment of thirty years of tidal monitoring data","docAbstract":"<p><span>To protect the aquatic living resources of Chesapeake Bay, the Chesapeake Bay Program partnership has developed guidance for state&nbsp;water quality standards, which include ambient water quality criteria to protect designated uses (DUs), and associated assessment procedures for dissolved oxygen (DO), water clarity/underwater bay grasses, and chlorophyll-a. For measuring progress toward meeting the respective states' water quality standards, a multimetric attainment indicator approach was developed to estimate combined standards attainment. We applied this approach to three decades of monitoring data of DO, water clarity/underwater bay grasses, and chlorophyll-a data on annually updated moving 3-year periods to track the progress in all 92 management segments of&nbsp;tidal waters&nbsp;in Chesapeake Bay. In 2014–2016, 40% of tidal water segment-DU-criterion combinations in the Bay (n = 291) are estimated to meet thresholds for attainment of their water quality criteria. This index score marks the best 3-year status in the entire record. Since 1985–1987, the indicator has followed a nonlinear trajectory, consistent with impacts from extreme weather events and subsequent recoveries. Over the period of record (1985–2016), the indicator exhibited a positive and statistically significant trend (</span><i>p</i><span> &lt; 0.05), indicating that the Bay has been recovering since 1985. Patterns of attainment of individual DUs are variable, but improvements in open water DO, deep channel DO, and water clarity/submerged aquatic vegetation have combined to drive the improvement in the Baywide indicator in 2014–2016 relative to its long-term median. Finally, the improvement in estimated Baywide attainment was statistically linked to the decline of total nitrogen, indicating responsiveness of attainment status to the reduction of nutrient load through various management actions since at least the 1980s.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.05.025","usgsCitation":"Zhang, Q., Murphy, R.R., Tian, R., Forsyth, M.K., Trentacoste, E.M., Keisman, J.L., and Tango, P., 2018, Chesapeake Bay's water quality condition has been recovering: Insights from a multimetric indicator assessment of thirty years of tidal monitoring data: Science of the Total Environment, v. 637-638, p. 1617-1625, https://doi.org/10.1016/j.scitotenv.2018.05.025.","productDescription":"9 p.","startPage":"1617","endPage":"1625","ipdsId":"IP-097377","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":468731,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6688177","text":"External Repository"},{"id":395536,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.1904296875,\n              38.41916639395372\n            ],\n            [\n              -75.223388671875,\n              38.64261790634527\n            ],\n            [\n              -75.35522460937499,\n              38.79690830348427\n            ],\n            [\n              -75.498046875,\n              38.87392853923629\n            ],\n            [\n              -75.5419921875,\n              39.0533181067413\n            ],\n            [\n              -75.662841796875,\n              39.30029918615029\n            ],\n            [\n              -75.750732421875,\n              39.70718665682654\n            ],\n            [\n              -75.6298828125,\n              40.052847601823984\n            ],\n            [\n              -75.69580078125,\n              40.07807142745009\n            ],\n            [\n              -75.95947265625,\n              40.052847601823984\n            ],\n            [\n              -76.0693359375,\n              40.069664523297774\n            ],\n            [\n              -76.058349609375,\n              40.18726672309203\n            ],\n            [\n              -75.9375,\n              40.29628651711716\n            ],\n            [\n              -75.91552734375,\n              40.3549167507906\n            ],\n            [\n              -75.89355468749999,\n              40.47202439692057\n            ],\n            [\n              -76.09130859375,\n              40.56389453066509\n            ],\n            [\n              -76.190185546875,\n              40.64730356252251\n            ],\n            [\n              -76.0693359375,\n              40.75557964275589\n            ],\n            [\n              -75.83862304687499,\n              40.871987756697415\n            ],\n            [\n              -75.76171875,\n              40.91351257612758\n            ],\n            [\n              -75.706787109375,\n              40.95501133048621\n            ],\n            [\n              -75.7177734375,\n              41.071069130806414\n            ],\n            [\n              -75.662841796875,\n              41.1455697310095\n            ],\n            [\n              -75.5419921875,\n              41.13729606112276\n            ],\n            [\n              -75.322265625,\n              41.104190944576466\n            ],\n            [\n              -75.377197265625,\n              41.22824901518529\n            ],\n            [\n              -75.377197265625,\n              41.28606238749825\n            ],\n            [\n              -75.377197265625,\n              41.43449030894922\n            ],\n            [\n              -75.399169921875,\n              41.6154423246811\n            ],\n            [\n              -75.34423828125,\n              41.68111756290652\n            ],\n            [\n              -75.2783203125,\n              41.91045347666418\n            ],\n            [\n              -75.38818359375,\n              42.00848901572399\n            ],\n            [\n              -75.377197265625,\n              42.09007006868398\n            ],\n            [\n              -75.223388671875,\n              42.17968819665961\n            ],\n            [\n              -74.970703125,\n              42.26917949243506\n            ],\n            [\n              -74.8388671875,\n              42.32606244456202\n            ],\n            [\n              -74.520263671875,\n              42.415346114253616\n            ],\n            [\n              -74.278564453125,\n              42.54498667313236\n            ],\n            [\n              -74.322509765625,\n              42.64204079304426\n            ],\n            [\n              -74.410400390625,\n              42.80346172417078\n            ],\n            [\n              -74.68505859374999,\n              42.924251753870685\n            ],\n            [\n              -75.069580078125,\n              42.98053954751642\n            ],\n            [\n              -75.38818359375,\n              42.96446257387128\n            ],\n            [\n              -75.684814453125,\n              42.93229601903058\n            ],\n            [\n              -75.9375,\n              42.87596410238256\n            ],\n            [\n              -76.201171875,\n              42.827638636242284\n            ],\n            [\n              -76.26708984375,\n              42.72280375732727\n            ],\n            [\n              -76.2890625,\n              42.601619944327965\n            ],\n            [\n              -76.2890625,\n              42.52069952914966\n            ],\n            [\n              -76.343994140625,\n              42.415346114253616\n            ],\n            [\n              -76.46484375,\n              42.382894009614034\n            ],\n            [\n              -76.640625,\n              42.431565872579185\n            ],\n            [\n              -76.7724609375,\n              42.39912215986002\n            ],\n            [\n              -76.80541992187499,\n              42.24478535602799\n            ],\n            [\n              -76.88232421875,\n              42.285437007491545\n            ],\n            [\n              -76.9482421875,\n              42.415346114253616\n            ],\n            [\n              -77.04711914062499,\n              42.44778143462245\n            ],\n            [\n              -77.14599609375,\n              42.415346114253616\n            ],\n            [\n              -77.2998046875,\n              42.382894009614034\n            ],\n            [\n              -77.222900390625,\n              42.54498667313236\n            ],\n            [\n              -77.442626953125,\n              42.69858589169842\n            ],\n            [\n              -77.574462890625,\n              42.60970621339408\n            ],\n            [\n              -77.640380859375,\n              42.48830197960227\n            ],\n            [\n              -77.728271484375,\n              42.439674178149424\n            ],\n            [\n              -77.6513671875,\n              42.31793945446847\n            ],\n            [\n              -77.596435546875,\n              42.22851735620852\n            ],\n            [\n              -77.5634765625,\n              42.09007006868398\n            ],\n            [\n              -77.6953125,\n              41.92680320648791\n            ],\n            [\n              -77.9150390625,\n              41.83682786072714\n            ],\n            [\n              -78.0908203125,\n              41.795888098191426\n            ],\n            [\n              -78.453369140625,\n              41.599013054830216\n            ],\n            [\n              -78.453369140625,\n              41.50857729743935\n            ],\n            [\n              -78.42041015625,\n              41.376808565702355\n            ],\n            [\n              -78.3984375,\n              41.21172151054787\n            ],\n            [\n              -78.519287109375,\n              41.054501963290505\n            ],\n            [\n              -78.541259765625,\n              40.9218144123785\n            ],\n            [\n              -78.409423828125,\n              40.713955826286046\n            ],\n            [\n              -78.299560546875,\n              40.55554790286311\n            ],\n            [\n              -78.343505859375,\n              40.48873742102282\n            ],\n            [\n              -78.475341796875,\n              40.30466538259176\n            ],\n            [\n              -78.64013671875,\n              40.06125658140474\n            ],\n            [\n              -78.826904296875,\n              39.9434364619742\n            ],\n            [\n              -78.848876953125,\n              39.80853604144591\n            ],\n            [\n              -78.85986328125,\n              39.715638134796336\n            ],\n            [\n              -78.99169921875,\n              39.69873414348139\n            ],\n            [\n              -79.046630859375,\n              39.64799732373418\n            ],\n            [\n              -79.266357421875,\n              39.436192999314095\n            ],\n            [\n              -79.420166015625,\n              39.2832938689385\n            ],\n            [\n              -79.354248046875,\n              39.26628442213066\n            ],\n            [\n              -79.266357421875,\n              39.232253141714885\n            ],\n            [\n              -79.2333984375,\n              39.155622393423215\n            ],\n            [\n              -79.244384765625,\n              39.01918369029134\n            ],\n            [\n              -79.27734374999999,\n              38.89103282648846\n            ],\n            [\n              -79.398193359375,\n              38.74551518488265\n            ],\n            [\n              -79.661865234375,\n              38.54816542304656\n            ],\n            [\n              -79.683837890625,\n              38.47079371120379\n            ],\n            [\n              -79.727783203125,\n              38.34165619279595\n            ],\n            [\n              -79.815673828125,\n              38.20365531807149\n            ],\n            [\n              -80.04638671875,\n              38.013476231041935\n            ],\n            [\n              -80.17822265625,\n              37.779398571318765\n            ],\n            [\n              -80.2880859375,\n              37.59682400108367\n            ],\n            [\n              -80.4638671875,\n              37.47485808497102\n            ],\n            [\n              -80.694580078125,\n              37.38761749978395\n            ],\n            [\n              -80.771484375,\n              37.23032838760387\n            ],\n            [\n              -80.57373046875,\n              37.26530995561875\n            ],\n            [\n              -80.44189453125,\n              37.309014074275915\n            ],\n            [\n              -80.255126953125,\n              37.31775185163688\n            ],\n            [\n              -80.013427734375,\n              37.3002752813443\n            ],\n            [\n              -79.8486328125,\n              37.23907530202184\n            ],\n            [\n              -79.771728515625,\n              37.18657859524883\n            ],\n            [\n              -79.6728515625,\n              37.07271048132943\n            ],\n            [\n              -79.541015625,\n              37.09900294387622\n            ],\n            [\n              -79.354248046875,\n              37.142803443716836\n            ],\n            [\n              -79.1455078125,\n              37.10776507118514\n            ],\n            [\n              -79.112548828125,\n              37.055177106660814\n            ],\n            [\n              -78.936767578125,\n              36.932330061503144\n            ],\n            [\n              -78.837890625,\n              36.94111143010769\n            ],\n            [\n              -78.662109375,\n              37.055177106660814\n            ],\n            [\n              -78.486328125,\n              37.03763967977139\n            ],\n            [\n              -78.42041015625,\n              36.94111143010769\n            ],\n            [\n              -78.20068359374999,\n              36.96744946416934\n            ],\n            [\n              -77.904052734375,\n              37.03763967977139\n            ],\n            [\n              -77.750244140625,\n              37.081475648860525\n            ],\n            [\n              -77.53051757812499,\n              37.081475648860525\n            ],\n            [\n              -77.354736328125,\n              37.07271048132943\n            ],\n            [\n              -77.069091796875,\n              37.081475648860525\n            ],\n            [\n              -76.959228515625,\n              37.01132594307015\n            ],\n            [\n              -76.893310546875,\n              36.932330061503144\n            ],\n            [\n              -76.871337890625,\n              36.83566824724438\n            ],\n            [\n              -76.849365234375,\n              36.677230602346214\n            ],\n            [\n              -76.7724609375,\n              36.527294814546245\n            ],\n            [\n              -76.629638671875,\n              36.55377524336089\n            ],\n            [\n              -76.46484375,\n              36.589068371399115\n            ],\n            [\n              -76.35498046875,\n              36.48314061639213\n            ],\n            [\n              -76.256103515625,\n              36.57142382346277\n            ],\n            [\n              -76.190185546875,\n              36.66841891894786\n            ],\n            [\n              -76.0693359375,\n              36.65079252503471\n            ],\n            [\n              -75.9375,\n              36.66841891894786\n            ],\n            [\n              -75.948486328125,\n              36.76529191711624\n            ],\n            [\n              -75.904541015625,\n              37.01132594307015\n            ],\n            [\n              -75.926513671875,\n              37.17782559332976\n            ],\n            [\n              -75.882568359375,\n              37.42252593456307\n            ],\n            [\n              -75.618896484375,\n              37.640334898059486\n            ],\n            [\n              -75.509033203125,\n              37.82280243352756\n            ],\n            [\n              -75.38818359375,\n              38.013476231041935\n            ],\n            [\n              -75.16845703124999,\n              38.272688535980976\n            ],\n            [\n              -75.1904296875,\n              38.41916639395372\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"637-638","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Qian 0000-0003-0500-5655","orcid":"https://orcid.org/0000-0003-0500-5655","contributorId":174393,"corporation":false,"usgs":false,"family":"Zhang","given":"Qian","email":"","affiliations":[{"id":38802,"text":"University of Maryland Center for Environmental Studies","active":true,"usgs":false}],"preferred":false,"id":833364,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Rebecca R.","contributorId":274698,"corporation":false,"usgs":false,"family":"Murphy","given":"Rebecca","email":"","middleInitial":"R.","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":false,"id":833365,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tian, Richard 0000-0002-9416-8669","orcid":"https://orcid.org/0000-0002-9416-8669","contributorId":261309,"corporation":false,"usgs":false,"family":"Tian","given":"Richard","email":"","affiliations":[{"id":52807,"text":"U.S. Environmental Protection Agency Chesapeake Bay Program","active":true,"usgs":false}],"preferred":false,"id":833366,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Forsyth, Melinda K.","contributorId":274832,"corporation":false,"usgs":false,"family":"Forsyth","given":"Melinda","email":"","middleInitial":"K.","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":false,"id":833367,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Trentacoste, Emily M. 0000-0003-2870-861X","orcid":"https://orcid.org/0000-0003-2870-861X","contributorId":218532,"corporation":false,"usgs":false,"family":"Trentacoste","given":"Emily","email":"","middleInitial":"M.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":833368,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Keisman, Jennifer L. D. 0000-0001-6808-9193","orcid":"https://orcid.org/0000-0001-6808-9193","contributorId":210994,"corporation":false,"usgs":true,"family":"Keisman","given":"Jennifer","email":"","middleInitial":"L. D.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":833369,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tango, Peter J. 0000-0001-6669-6969","orcid":"https://orcid.org/0000-0001-6669-6969","contributorId":274834,"corporation":false,"usgs":true,"family":"Tango","given":"Peter J.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":833370,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70197255,"text":"70197255 - 2018 - Projected 21st century coastal flooding in the Southern California Bight. Part 1: Development of the third generation CoSMoS model","interactions":[],"lastModifiedDate":"2018-05-24T10:55:15","indexId":"70197255","displayToPublicDate":"2018-05-24T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2380,"text":"Journal of Marine Science and Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Projected 21st century coastal flooding in the Southern California Bight. Part 1: Development of the third generation CoSMoS model","docAbstract":"<p><span>Due to the effects of climate change over the course of the next century, the combination of rising sea levels, severe storms, and coastal change will threaten the sustainability of coastal communities, development, and ecosystems as we know them today. To clearly identify coastal vulnerabilities and develop appropriate adaptation strategies due to projected increased levels of coastal flooding and erosion, coastal managers need local-scale hazards projections using the best available climate and coastal science. In collaboration with leading scientists world-wide, the USGS designed the Coastal Storm Modeling System (CoSMoS) to assess the coastal impacts of climate change for the California coast, including the combination of sea-level rise, storms, and coastal change. In this project, we directly address the needs of coastal resource managers in Southern California by integrating a vast range of global climate change projections in a thorough and comprehensive numerical modeling framework. In Part 1 of a two-part submission on CoSMoS, methods and the latest improvements are discussed, and an example of hazard projections is presented.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/jmse6020059","usgsCitation":"O'Neill, A., Erikson, L.H., Barnard, P., Limber, P.W., Vitousek, S., Warrick, J.A., Foxgrover, A.C., and Lovering, J., 2018, Projected 21st century coastal flooding in the Southern California Bight. Part 1: Development of the third generation CoSMoS model: Journal of Marine Science and Engineering, v. 6, no. 2, p. 1-31, https://doi.org/10.3390/jmse6020059.","productDescription":"Article 59; 31 p.","startPage":"1","endPage":"31","ipdsId":"IP-096868","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468732,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/jmse6020059","text":"Publisher Index Page"},{"id":354451,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.860595703125,\n              32.27320009948135\n            ],\n            [\n              -116.83959960937499,\n              32.27320009948135\n            ],\n            [\n              -116.83959960937499,\n              34.70549341022544\n            ],\n            [\n              -120.860595703125,\n              34.70549341022544\n            ],\n            [\n              -120.860595703125,\n              32.27320009948135\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"6","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-24","publicationStatus":"PW","scienceBaseUri":"5b155d78e4b092d9651e1b34","contributors":{"authors":[{"text":"O'Neill, Andrea C. 0000-0003-1656-4372 aoneill@usgs.gov","orcid":"https://orcid.org/0000-0003-1656-4372","contributorId":5351,"corporation":false,"usgs":true,"family":"O'Neill","given":"Andrea C.","email":"aoneill@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":736422,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":736423,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":736424,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Limber, Patrick W. 0000-0002-8207-3750 plimber@usgs.gov","orcid":"https://orcid.org/0000-0002-8207-3750","contributorId":196794,"corporation":false,"usgs":true,"family":"Limber","given":"Patrick","email":"plimber@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":736425,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vitousek, Sean","contributorId":190192,"corporation":false,"usgs":false,"family":"Vitousek","given":"Sean","affiliations":[],"preferred":false,"id":736426,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":167736,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan","email":"jwarrick@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":736427,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Foxgrover, Amy C. 0000-0003-0638-5776 afoxgrover@usgs.gov","orcid":"https://orcid.org/0000-0003-0638-5776","contributorId":3261,"corporation":false,"usgs":true,"family":"Foxgrover","given":"Amy","email":"afoxgrover@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":736428,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lovering, Jessica 0000-0002-0705-9633","orcid":"https://orcid.org/0000-0002-0705-9633","contributorId":204726,"corporation":false,"usgs":true,"family":"Lovering","given":"Jessica","email":"","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":736429,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70197256,"text":"70197256 - 2018 - Aligning environmental management with ecosystem resilience: a First Foods example from the Confederated Tribes of the Umatilla Indian Reservation, Oregon, USA","interactions":[],"lastModifiedDate":"2018-05-24T11:34:17","indexId":"70197256","displayToPublicDate":"2018-05-24T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Aligning environmental management with ecosystem resilience: a First Foods example from the Confederated Tribes of the Umatilla Indian Reservation, Oregon, USA","docAbstract":"<p><span>The concept of “reciprocity” between humans and other biota arises from the creation belief of the Confederated Tribes of the Umatilla Indian Reservation (CTUIR). The concept acknowledges a moral and practical obligation for humans and biota to care for and sustain one another, and arises from human gratitude and reverence for the contributions and sacrifices made by other biota to sustain human kind. Reciprocity has become a powerful organizing principle for the CTUIR Department of Natural Resources, fostering continuity across the actions and policies of environmental management programs at the CTUIR. Moreover, reciprocity is the foundation of the CTUIR “First Foods” management approach. We describe the cultural significance of First Foods, the First Foods management approach, a resulting management vision for resilient and functional river ecosystems, and subsequent shifts in management goals and planning among tribal environmental staff during the first decade of managing for First Foods. In presenting this management approach, we highlight how reciprocity has helped align human values and management goals with ecosystem resilience, yielding management decisions that benefit individuals and communities, indigenous and nonindigenous, as well as human and nonhuman. We further describe the broader applicability of reciprocity-based approaches to natural resource management.</span></p>","language":"English","publisher":"Ecology and Society","doi":"10.5751/ES-10080-230229","usgsCitation":"Quaempts, E.J., Jones, K., O’Daniel, S.J., Beechie, T.J., and Poole, G.C., 2018, Aligning environmental management with ecosystem resilience: a First Foods example from the Confederated Tribes of the Umatilla Indian Reservation, Oregon, USA: Ecology and Society, v. 23, no. 2, Article 29; 20 p., https://doi.org/10.5751/ES-10080-230229.","productDescription":"Article 29; 20 p.","ipdsId":"IP-071268","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":468734,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-10080-230229","text":"Publisher Index Page"},{"id":354455,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","volume":"23","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b155d77e4b092d9651e1b32","contributors":{"authors":[{"text":"Quaempts, Eric J","contributorId":205207,"corporation":false,"usgs":false,"family":"Quaempts","given":"Eric","email":"","middleInitial":"J","affiliations":[{"id":37057,"text":"Department of Natural Resources for the Confederated Tribes of the Umatilla Indian Reservation","active":true,"usgs":false}],"preferred":false,"id":736432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Krista 0000-0002-0301-4497","orcid":"https://orcid.org/0000-0002-0301-4497","contributorId":205206,"corporation":false,"usgs":true,"family":"Jones","given":"Krista","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":736431,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Daniel, Scott J.","contributorId":140123,"corporation":false,"usgs":false,"family":"O’Daniel","given":"Scott","email":"","middleInitial":"J.","affiliations":[{"id":13390,"text":"Confederated Tribes of the Umatilla Indian Reservation, Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":736433,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beechie, Timothy J.","contributorId":139468,"corporation":false,"usgs":false,"family":"Beechie","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":6578,"text":"National Marine Fisheries Service, Seattle, WA 98112, USA","active":true,"usgs":false}],"preferred":false,"id":736434,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Poole, Geoffrey C.","contributorId":179213,"corporation":false,"usgs":false,"family":"Poole","given":"Geoffrey","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":736435,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70197250,"text":"70197250 - 2018 - Assessing the impacts of dams and levees on the hydrologic record of the Middle and Lower Mississippi River, USA","interactions":[],"lastModifiedDate":"2018-05-24T10:46:20","indexId":"70197250","displayToPublicDate":"2018-05-24T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the impacts of dams and levees on the hydrologic record of the Middle and Lower Mississippi River, USA","docAbstract":"The impacts of dams and levees on the long-term (>130 years) discharge record was assessed along a ~1200 km segment of the Mississippi River between St. Louis, Missouri, and Vicksburg, Mississippi. To aid in our evaluation of dam impacts, we used data from the U.S. National Inventory of Dams to calculate the rate of reservoir expansion at five long-term hydrologic monitoring stations along the study segment. We divided the hydrologic record at each station into three periods: (1) a pre-rapid reservoir expansion period; (2) a rapid reservoir expansion period; and (3) a post-rapid reservoir expansion period. We then used three approaches to assess changes in the hydrologic record at each station. Indicators of hydrologic alteration (IHA) and flow duration hydrographs were used to quantify changes in flow conditions between the pre- and post-rapid reservoir expansion periods. Auto-regressive interrupted time series analysis (ARITS) was used to assess trends in maximum annual discharge, mean annual discharge, minimum annual discharge, and standard deviation of daily discharges within a given water year. A one-dimensional HEC-RAS hydraulic model was used to assess the impact of levees on flood flows. Our results revealed that minimum annual discharges and low-flow IHA parameters showed the most significant changes. Additionally, increasing trends in minimum annual discharge during the rapid reservoir expansion period were found at three out of the five hydrologic monitoring stations. These IHA and ARITS results support previous findings consistent with the observation that reservoirs generally have the greatest impacts on low-flow conditions. River segment scale hydraulic modeling revealed levees can modestly increase peak flood discharges, while basin-scale hydrologic modeling assessments by the U.S. Army Corps of Engineers showed that tributary reservoirs reduced peak discharges by a similar magnitude (2 to 30%). This finding suggests that the effects of dams and levees on peak flood discharges are in part offsetting one another along the modeled river segments and likely other substantially leveed segments of the Mississippi River.","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2018.01.004","usgsCitation":"Remo, J.W., Ickes, B., Ryherd, J.K., Guida, R.J., and Therrell, M.D., 2018, Assessing the impacts of dams and levees on the hydrologic record of the Middle and Lower Mississippi River, USA: Geomorphology, v. 313, p. 88-100, https://doi.org/10.1016/j.geomorph.2018.01.004.","productDescription":"13 p.","startPage":"88","endPage":"100","ipdsId":"IP-088232","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":468733,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geomorph.2018.01.004","text":"Publisher Index Page"},{"id":354450,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mississippi River","volume":"313","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b155d78e4b092d9651e1b38","contributors":{"authors":[{"text":"Remo, Jonathan W.F. 0000-0002-8208-2091","orcid":"https://orcid.org/0000-0002-8208-2091","contributorId":205201,"corporation":false,"usgs":false,"family":"Remo","given":"Jonathan","email":"","middleInitial":"W.F.","affiliations":[{"id":32417,"text":"Southern Illinois University-Carbondale","active":true,"usgs":false}],"preferred":false,"id":736404,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ickes, Brian 0000-0001-5622-3842 bickes@usgs.gov","orcid":"https://orcid.org/0000-0001-5622-3842","contributorId":2925,"corporation":false,"usgs":true,"family":"Ickes","given":"Brian","email":"bickes@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":736403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ryherd, Julia K.","contributorId":205202,"corporation":false,"usgs":false,"family":"Ryherd","given":"Julia","email":"","middleInitial":"K.","affiliations":[{"id":32417,"text":"Southern Illinois University-Carbondale","active":true,"usgs":false}],"preferred":false,"id":736405,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guida, Ross J.","contributorId":205203,"corporation":false,"usgs":false,"family":"Guida","given":"Ross","email":"","middleInitial":"J.","affiliations":[{"id":37056,"text":"Sam Houston State University","active":true,"usgs":false}],"preferred":false,"id":736406,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Therrell, Matthew D.","contributorId":172810,"corporation":false,"usgs":false,"family":"Therrell","given":"Matthew","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":736407,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70197251,"text":"70197251 - 2018 - Canopy volume removal from oil and gas development activity in the upper Susquehanna River basin in Pennsylvania and New York (USA): An assessment using lidar data","interactions":[],"lastModifiedDate":"2018-05-24T10:43:13","indexId":"70197251","displayToPublicDate":"2018-05-24T00:00:00","publicationYear":"2018","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":"Canopy volume removal from oil and gas development activity in the upper Susquehanna River basin in Pennsylvania and New York (USA): An assessment using lidar data","docAbstract":"<p><span>Oil and gas development is changing the landscape in many regions of the United States and globally. However, the nature, extent, and magnitude of landscape change and development, and precisely how this development compares to other ongoing land conversion (e.g. urban/sub-urban development, timber harvest) is not well understood. In this study, we examine land conversion from oil and gas infrastructure development in the upper Susquehanna River basin in Pennsylvania and New York, an area that has experienced much oil and gas development over the past 10 years. We quantified land conversion in terms of forest canopy geometric volume loss in contrast to previous studies that considered only areal impacts. For the first time in a study of this type, we use fine-scale lidar forest canopy geometric models to assess the volumetric change due to forest clearing from oil and gas development and contrast this land change to clear cut forest harvesting, and urban and suburban development. Results show that oil and gas infrastructure development removed a large volume of forest canopy from 2006 to 2013, and this removal spread over a large portion of the study area. Timber operations (clear cutting) on Pennsylvania State Forest lands removed a larger total volume of forest canopy during the same time period, but this canopy removal was concentrated in a smaller area. Results of our study point to the need to consider volumetric impacts of oil and gas development on ecosystems, and to place potential impacts in context with other ongoing land conversions.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2018.05.041","usgsCitation":"Young, J.A., Maloney, K.O., Slonecker, E.T., Milheim, L., and Siripoonsup, D., 2018, Canopy volume removal from oil and gas development activity in the upper Susquehanna River basin in Pennsylvania and New York (USA): An assessment using lidar data: Journal of Environmental Management, v. 222, p. 66-75, https://doi.org/10.1016/j.jenvman.2018.05.041.","productDescription":"10 p.","startPage":"66","endPage":"75","ipdsId":"IP-089887","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":354448,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York, Pennsylvania","otherGeospatial":"Upper Susquehanna River basin","volume":"222","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b155d78e4b092d9651e1b36","contributors":{"authors":[{"text":"Young, John A. 0000-0002-4500-3673 jyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-3673","contributorId":3777,"corporation":false,"usgs":true,"family":"Young","given":"John","email":"jyoung@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":736408,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maloney, Kelly O. 0000-0003-2304-0745 kmaloney@usgs.gov","orcid":"https://orcid.org/0000-0003-2304-0745","contributorId":4636,"corporation":false,"usgs":true,"family":"Maloney","given":"Kelly","email":"kmaloney@usgs.gov","middleInitial":"O.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":736409,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Slonecker, E. Terrence 0000-0002-5793-0503 tslonecker@usgs.gov","orcid":"https://orcid.org/0000-0002-5793-0503","contributorId":168591,"corporation":false,"usgs":true,"family":"Slonecker","given":"E.","email":"tslonecker@usgs.gov","middleInitial":"Terrence","affiliations":[{"id":36171,"text":"National Civil Applications Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":736410,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Milheim, Lesley E. lmilheim@usgs.gov","contributorId":2560,"corporation":false,"usgs":true,"family":"Milheim","given":"Lesley E.","email":"lmilheim@usgs.gov","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":736411,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Siripoonsup, David dsiripoonsup@usgs.gov","contributorId":197039,"corporation":false,"usgs":true,"family":"Siripoonsup","given":"David","email":"dsiripoonsup@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":736412,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70211480,"text":"70211480 - 2018 - A retrospective look at the February 1993 east rift zone intrusion at Kīlauea volcano, Hawaii","interactions":[],"lastModifiedDate":"2020-07-28T22:49:01.833424","indexId":"70211480","displayToPublicDate":"2018-05-23T17:40:45","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"A retrospective look at the February 1993 east rift zone intrusion at Kīlauea volcano, Hawaii","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0075\"><span>The February 1993 dike intrusion in the East&nbsp;Rift Zone&nbsp;(ERZ) of Kīlauea&nbsp;Volcano, Hawai'i, was recognized from tilt and&nbsp;seismic data, but ground-based&nbsp;geodetic data&nbsp;were too sparse to constrain the characteristics of the intrusion. Analysis of Interferometric Synthetic Aperture Radar (InSAR) from the Japan Aerospace Exploration Agency (JAXA)&nbsp;JERS-1&nbsp;satellite reveals a maximum of ~30 cm of line-of-sight (LOS) displacement occurring near Makaopuhi&nbsp;Crater&nbsp;in the middle ERZ of Kīlauea. We model this deformation signal as a subvertical dike using a 3D-Mixed&nbsp;Boundary Element Method&nbsp;(3D-MBEM) paired with a nonlinear inversion algorithm to find the best-fit model. The best-fit dike is located just to the west of Makaopuhi Crater striking N50°W, extends to within 100 m of the surface, is ~1.3 km in length by ~4.2 km in width along strike, and has a total volume of ~7.4 × 10</span><sup>6</sup> m<sup>3</sup><span>. In addition, a post-intrusion&nbsp;interferogram&nbsp;from JERS-1 spanning 1993–1997 was analyzed. Guided by previous results, our model for the 4-year period consists of opening of the deep rift zones by about 0.5 m at 3–8.5 km depth beneath the Southwest Rift Zone (SWRZ), ERZ and the summit. A sub-horizontal&nbsp;detachment fault&nbsp;is connected to the seaward side of the vertical dike-like source to mimic the&nbsp;décollement&nbsp;known to exist beneath the volcano. We classify the 1993 dike intrusion as a passive intrusion similar to those that occurred in 1997 and 1999. Passive intrusions lack precursory inflation at Kīlauea's summit, and the likely triggering mechanism is persistent deep rift opening combined with seaward motion of the south flank along the basal décollement. Passive intrusions make forecasting and hazard assessment difficult since they are not preceded by inflation nor by large increases in&nbsp;seismicity.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2018.05.017","usgsCitation":"Conway, S., Wauthier, C., Fukushima, Y., and Poland, M.P., 2018, A retrospective look at the February 1993 east rift zone intrusion at Kīlauea volcano, Hawaii: Journal of Volcanology and Geothermal Research, v. 358, p. 241-251, https://doi.org/10.1016/j.jvolgeores.2018.05.017.","productDescription":"114 p.","startPage":"241","endPage":"251","ipdsId":"IP-090650","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":376803,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.53070068359375,\n              19.235956641468505\n            ],\n            [\n              -154.86190795898438,\n              19.235956641468505\n            ],\n            [\n              -154.86190795898438,\n              19.48536557300507\n            ],\n            [\n              -155.53070068359375,\n              19.48536557300507\n            ],\n            [\n              -155.53070068359375,\n              19.235956641468505\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"358","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Conway, Sarah 0000-0003-1953-5550","orcid":"https://orcid.org/0000-0003-1953-5550","contributorId":215609,"corporation":false,"usgs":true,"family":"Conway","given":"Sarah","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":794228,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wauthier, Christelle","contributorId":81011,"corporation":false,"usgs":true,"family":"Wauthier","given":"Christelle","affiliations":[],"preferred":false,"id":794229,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fukushima, Yo","contributorId":236709,"corporation":false,"usgs":false,"family":"Fukushima","given":"Yo","email":"","affiliations":[],"preferred":false,"id":794230,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":146118,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":794231,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70200447,"text":"70200447 - 2018 - Patterns of species richness hotspots and estimates of their protection are sensitive to spatial resolution","interactions":[],"lastModifiedDate":"2018-10-18T13:58:37","indexId":"70200447","displayToPublicDate":"2018-05-23T13:58:24","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Patterns of species richness hotspots and estimates of their protection are sensitive to spatial resolution","docAbstract":"<div id=\"ddi12779-sec-0001\" class=\"article-section__content\"><p class=\"article-section__sub-title section1\"><strong>Aim</strong></p><p>Species richness is a measure of biodiversity often used in spatial conservation assessments and mapped by summing species distribution maps. Commission errors inherent those maps influence richness patterns and conservation assessments. We sought to further the understanding of the sensitivity of hotspot delineation methods and conservation assessments to commission errors, and choice of threshold for hotspot delineation.</p></div><div id=\"ddi12779-sec-0002\" class=\"article-section__content\"><p class=\"article-section__sub-title section1\"><strong>Location</strong></p><p>United States.</p></div><div id=\"ddi12779-sec-0003\" class=\"article-section__content\"><p class=\"article-section__sub-title section1\"><strong>Methods</strong></p><p>We created range maps and 30‐m and 1‐km resolution habitat maps for terrestrial vertebrates in the United States and generated species richness maps with each dataset. With the richness maps and the GAP Protected Areas Dataset, we created species richness hotspot maps and calculated the proportion of hotspots within protected areas; calculating protection under a range of thresholds for defining hotspots. Our method allowed us to identify the influence of commission errors by comparing hotspot maps.</p></div><div id=\"ddi12779-sec-0004\" class=\"article-section__content\"><p class=\"article-section__sub-title section1\"><strong>Results</strong></p><p>Commission errors from coarse spatial grain data and lack of porosity in the range data inflated richness estimates and altered their spatial patterns. Coincidence of hotspots from different data types was low. The 30‐m hotspots were spatially dispersed, and some were very long distances from the hotspots mapped with coarser data. Estimates of protection were low for each of the taxa. The relationship between estimates of hotspot protection and threshold choice was nonlinear and inconsistent among data types (habitat and range) and grain size (30‐m and 1‐km).</p></div><div id=\"ddi12779-sec-0005\" class=\"article-section__content\"><p class=\"article-section__sub-title section1\"><strong>Main conclusions</strong></p><p>Coarse mapping methods and grain sizes can introduce commission errors into species distribution data that could result in misidentifications of the regions where hotspots occur and affect estimates of hotspot protection. Hotspot conservation assessments are also sensitive to choice of threshold for hotspot delineation. There is value in developing species distribution maps with high resolution and low rates of commission error for conservation assessments.</p></div>","language":"English","publisher":"Wiley","doi":"10.1111/ddi.12779","usgsCitation":"McKerrow, A., Tarr, N.M., Rubino, M.J., and Williams, S.G., 2018, Patterns of species richness hotspots and estimates of their protection are sensitive to spatial resolution: Diversity and Distributions, v. 24, no. 10, p. 1464-1477, https://doi.org/10.1111/ddi.12779.","productDescription":"14 p.","startPage":"1464","endPage":"1477","ipdsId":"IP-090441","costCenters":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":468735,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.12779","text":"Publisher Index Page"},{"id":358541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"24","issue":"10","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-23","publicationStatus":"PW","scienceBaseUri":"5c10a9b9e4b034bf6a7e53ff","contributors":{"authors":[{"text":"McKerrow, Alexa 0000-0002-8312-2905 amckerrow@usgs.gov","orcid":"https://orcid.org/0000-0002-8312-2905","contributorId":127753,"corporation":false,"usgs":true,"family":"McKerrow","given":"Alexa","email":"amckerrow@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":748916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tarr, Nathan M. 0000-0003-2925-8948","orcid":"https://orcid.org/0000-0003-2925-8948","contributorId":208372,"corporation":false,"usgs":false,"family":"Tarr","given":"Nathan","email":"","middleInitial":"M.","affiliations":[{"id":39327,"text":"North Carolina Cooperative Fish and Wildlife Research Unit, Department of Applied Ecology, North Carolina State Univ.","active":true,"usgs":false}],"preferred":false,"id":748917,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rubino, Matthew J. 0000-0003-0651-3053","orcid":"https://orcid.org/0000-0003-0651-3053","contributorId":141234,"corporation":false,"usgs":false,"family":"Rubino","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":39327,"text":"North Carolina Cooperative Fish and Wildlife Research Unit, Department of Applied Ecology, North Carolina State Univ.","active":true,"usgs":false}],"preferred":false,"id":748918,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Steven G.","contributorId":176234,"corporation":false,"usgs":false,"family":"Williams","given":"Steven","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":748919,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70198459,"text":"70198459 - 2018 - Genetics","interactions":[],"lastModifiedDate":"2018-09-04T11:26:54","indexId":"70198459","displayToPublicDate":"2018-05-23T09:20:16","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Genetics","docAbstract":"<p>In the current context of environmental changes, it is easy to see how extrinsic factors, such as shifts in sea surface temperature, food availability and accumulation of pollutants, can impact the health of marine mammals. However, intrinsic factors, including the genetic constitution of an individual, are also largely responsible for shaping health, particularly in terms of immune system effectiveness. In the previous edition of this book, the chapter on genetics thoroughly addressed the techniques available for identification of species, populations, stocks and individuals, studying social organization, and determining the relationships among individuals in a group. We have written the current chapter with an emphasis on how each individual’s genetic constitution and the prevalence of particular genetic variants is relevant to marine mammal health and disease. The chapter first presents a brief conceptual framework for understanding how genetics shape health and disease. We next outline common genetic techniques and current tools and technologies that are emerging in marine mammal health studies. Finally, the scope, pitfalls and limitations of these tools are discussed.</p>","largerWorkTitle":"CRC handbook of marine mammal medicine, 3rd edition","language":"English","publisher":"CRC Press : Taylor & Francis Group","usgsCitation":"Acevedo-Whitehouse, K., and Bowen, L., 2018, Genetics, chap. <i>of</i> CRC handbook of marine mammal medicine, 3rd edition, p. 231-245.","productDescription":"15 p.","startPage":"231","endPage":"245","ipdsId":"IP-082171","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":357038,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":357035,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.crcpress.com/CRC-Handbook-of-Marine-Mammal-Medicine/Gulland-Dierauf-Whitman/p/book/9781498796873"}],"edition":"3rd","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a2bbe4b0702d0e842fd5","contributors":{"authors":[{"text":"Acevedo-Whitehouse, Karina","contributorId":201163,"corporation":false,"usgs":false,"family":"Acevedo-Whitehouse","given":"Karina","email":"","affiliations":[],"preferred":false,"id":741513,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bowen, Lizabeth 0000-0001-9115-4336 lbowen@usgs.gov","orcid":"https://orcid.org/0000-0001-9115-4336","contributorId":206702,"corporation":false,"usgs":true,"family":"Bowen","given":"Lizabeth","email":"lbowen@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":741512,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70257871,"text":"70257871 - 2018 - Nitrogen limitation, toxin synthesis potential, and toxicity of cyanobacterial populations in Lake Okeechobee and the St. Lucie River Estuary, Florida, during the 2016 state of emergency event","interactions":[],"lastModifiedDate":"2024-08-30T18:07:33.730762","indexId":"70257871","displayToPublicDate":"2018-05-23T06:58:23","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Nitrogen limitation, toxin synthesis potential, and toxicity of cyanobacterial populations in Lake Okeechobee and the St. Lucie River Estuary, Florida, during the 2016 state of emergency event","docAbstract":"<div class=\"abstract toc-section abstract-type-\"><div class=\"abstract-content\"><p>Lake Okeechobee, FL, USA, has been subjected to intensifying cyanobacterial blooms that can spread to the adjacent St. Lucie River and Estuary via natural and anthropogenically-induced flooding events. In July 2016, a large, toxic cyanobacterial bloom occurred in Lake Okeechobee and throughout the St. Lucie River and Estuary, leading Florida to declare a state of emergency. This study reports on measurements and nutrient amendment experiments performed in this freshwater-estuarine ecosystem (salinity 0–25 PSU) during and after the bloom. In July, all sites along the bloom exhibited dissolved inorganic nitrogen-to-phosphorus ratios &lt; 6, while<span>&nbsp;</span><i>Microcystis</i><span>&nbsp;</span>dominated (&gt; 95%) phytoplankton inventories from the lake to the central part of the estuary. Chlorophyll<span>&nbsp;</span><i>a</i><span>&nbsp;</span>and microcystin concentrations peaked (100 and 34 μg L<sup>-1</sup>, respectively) within Lake Okeechobee and decreased eastwards. Metagenomic analyses indicated that genes associated with the production of microcystin (<i>mcyE</i>) and the algal neurotoxin saxitoxin (<i>sxtA</i>) originated from<span>&nbsp;</span><i>Microcystis</i><span>&nbsp;</span>and multiple diazotrophic genera, respectively. There were highly significant correlations between levels of total nitrogen, microcystin, and microcystin synthesis gene abundance across all surveyed sites (<i>p</i><span>&nbsp;</span>&lt; 0.001), suggesting high levels of nitrogen supported the production of microcystin during this event. Consistent with this, experiments performed with low salinity water from the St. Lucie River during the event indicated that algal biomass was nitrogen-limited. In the fall, densities of<span>&nbsp;</span><i>Microcystis</i><span>&nbsp;</span>and concentrations of microcystin were significantly lower, green algae co-dominated with cyanobacteria, and multiple algal groups displayed nitrogen-limitation. These results indicate that monitoring and regulatory strategies in Lake Okeechobee and the St. Lucie River and Estuary should consider managing loads of nitrogen to control future algal and microcystin-producing cyanobacterial blooms.</p></div></div><div id=\"figure-carousel-section\"><br></div>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0196278","usgsCitation":"Kramer, B.J., Davis, T.W., Meyer, K., Rosen, B., Goleski, J., Oh, G., and Gobler, C.J., 2018, Nitrogen limitation, toxin synthesis potential, and toxicity of cyanobacterial populations in Lake Okeechobee and the St. Lucie River Estuary, Florida, during the 2016 state of emergency event: PLoS ONE, v. 13, no. 5, e0196278, 26 p., https://doi.org/10.1371/journal.pone.0196278.","productDescription":"e0196278, 26 p.","ipdsId":"IP-094020","costCenters":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true}],"links":[{"id":468736,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0196278","text":"Publisher Index Page"},{"id":433351,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Lake Okeechobee, St. Lucie River Estuary","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -81.39974248538462,\n              27.42835840314777\n            ],\n            [\n              -81.39974248538462,\n              26.42927954500054\n            ],\n            [\n              -79.86165654788476,\n              26.42927954500054\n            ],\n            [\n              -79.86165654788476,\n              27.42835840314777\n            ],\n            [\n              -81.39974248538462,\n              27.42835840314777\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"13","issue":"5","noUsgsAuthors":false,"publicationDate":"2018-05-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Kramer, Benjamin J.","contributorId":191813,"corporation":false,"usgs":false,"family":"Kramer","given":"Benjamin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":911878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Timothy W.","contributorId":169289,"corporation":false,"usgs":false,"family":"Davis","given":"Timothy","email":"","middleInitial":"W.","affiliations":[{"id":6637,"text":"National Oceanic and Atmospheric Administration, Northwest Fisheries Science Center, 2725 Montlake Blvd E, Seattle, WA 98112","active":true,"usgs":false}],"preferred":false,"id":911879,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meyer, Kevin A.","contributorId":195887,"corporation":false,"usgs":false,"family":"Meyer","given":"Kevin A.","affiliations":[],"preferred":false,"id":911880,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosen, Barry 0000-0002-8016-3939","orcid":"https://orcid.org/0000-0002-8016-3939","contributorId":221959,"corporation":false,"usgs":true,"family":"Rosen","given":"Barry","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":911881,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goleski, Jennifer","contributorId":343723,"corporation":false,"usgs":false,"family":"Goleski","given":"Jennifer","email":"","affiliations":[{"id":82173,"text":"School of Marine and Atmospheric Sciences, Stony Brook University","active":true,"usgs":false}],"preferred":false,"id":911882,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oh, Gene","contributorId":343724,"corporation":false,"usgs":false,"family":"Oh","given":"Gene","email":"","affiliations":[{"id":82173,"text":"School of Marine and Atmospheric Sciences, Stony Brook University","active":true,"usgs":false}],"preferred":false,"id":911883,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gobler, Christopher J.","contributorId":127640,"corporation":false,"usgs":false,"family":"Gobler","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":7095,"text":"Professor, School of Marine & Atmospheric Sciences, Stony Brook University","active":true,"usgs":false}],"preferred":false,"id":911884,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70197216,"text":"70197216 - 2018 - Origin of last-glacial loess in the western Yukon-Tanana Upland, central Alaska, USA","interactions":[],"lastModifiedDate":"2018-05-23T10:35:34","indexId":"70197216","displayToPublicDate":"2018-05-23T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Origin of last-glacial loess in the western Yukon-Tanana Upland, central Alaska, USA","docAbstract":"<p><span>Loess is widespread over Alaska, and its accumulation has traditionally been associated with glacial periods. Surprisingly, loess deposits securely dated to the last glacial period are rare in Alaska, and paleowind reconstructions for this time period are limited to inferences from dune orientations. We report a rare occurrence of loess deposits dating to the last glacial period, ~19 ka to ~12 ka, in the Yukon-Tanana Upland. Loess in this area is very coarse grained (abundant coarse silt), with decreases in particle size moving south of the Yukon River, implying that the drainage basin of this river was the main source. Geochemical data show, however, that the Tanana River valley to the south is also a likely distal source. The occurrence of last-glacial loess with sources to both the south and north is explained by both regional, synoptic-scale winds from the northeast and opposing katabatic winds that could have developed from expanded glaciers in both the Brooks Range to the north and the Alaska Range to the south. Based on a comparison with recent climate modeling for the last glacial period, seasonality of dust transport may also have played a role in bringing about contributions from both northern and southern sources.</span></p>","language":"English","publisher":"Cambridge University Press","doi":"10.1017/qua.2018.11","usgsCitation":"Muhs, D., Pigati, J.S., Budahn, J.R., Skipp, G.L., Bettis, E.A., and Jensen, B., 2018, Origin of last-glacial loess in the western Yukon-Tanana Upland, central Alaska, USA: Quaternary Research, v. 89, no. 3, p. 797-819, https://doi.org/10.1017/qua.2018.11.","productDescription":"23 p.","startPage":"797","endPage":"819","ipdsId":"IP-086762","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":354407,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -150,\n              65.5\n            ],\n            [\n              -148.75,\n              65.5\n            ],\n            [\n              -148.75,\n              66\n            ],\n            [\n              -150,\n              66\n            ],\n            [\n              -150,\n              65.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"89","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-10","publicationStatus":"PW","scienceBaseUri":"5b155d78e4b092d9651e1b3e","contributors":{"authors":[{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":168575,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel R.","email":"dmuhs@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":736257,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219 jpigati@usgs.gov","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":201167,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey","email":"jpigati@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":736258,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Budahn, James R. 0000-0001-9794-8882 jbudahn@usgs.gov","orcid":"https://orcid.org/0000-0001-9794-8882","contributorId":1175,"corporation":false,"usgs":true,"family":"Budahn","given":"James","email":"jbudahn@usgs.gov","middleInitial":"R.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":736259,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Skipp, Gary L. 0000-0002-9404-0980","orcid":"https://orcid.org/0000-0002-9404-0980","contributorId":201777,"corporation":false,"usgs":true,"family":"Skipp","given":"Gary","email":"","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":736260,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bettis, E. Arthur III 0000-0002-6137-1433","orcid":"https://orcid.org/0000-0002-6137-1433","contributorId":204005,"corporation":false,"usgs":false,"family":"Bettis","given":"E.","suffix":"III","email":"","middleInitial":"Arthur","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":736261,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jensen, Britta","contributorId":184164,"corporation":false,"usgs":false,"family":"Jensen","given":"Britta","affiliations":[],"preferred":false,"id":736262,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70197211,"text":"70197211 - 2018 - Nanomaterials in the environment: Behavior, fate, bioavailability, and effects—An updated review","interactions":[],"lastModifiedDate":"2018-07-23T12:59:06","indexId":"70197211","displayToPublicDate":"2018-05-23T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Nanomaterials in the environment: Behavior, fate, bioavailability, and effects—An updated review","docAbstract":"<p><span>The present review covers developments in studies of nanomaterials (NMs) in the environment since our much cited review in 2008. We discuss novel insights into fate and behavior, metrology, transformations, bioavailability, toxicity mechanisms, and environmental impacts, with a focus on terrestrial and aquatic systems. Overall, the findings were that: 1) despite substantial developments, critical gaps remain, in large part due to the lack of analytical, modeling, and field capabilities, and also due to the breadth and complexity of the area; 2) a key knowledge gap is the lack of data on environmental concentrations and dosimetry generally; 3) substantial evidence shows that there are nanospecific effects (different from the effects of both ions and larger particles) on the environment in terms of fate, bioavailability, and toxicity, but this is not consistent for all NMs, species, and relevant processes; 4) a paradigm is emerging that NMs are less toxic than equivalent dissolved materials but more toxic than the corresponding bulk materials; and 5) translation of incompletely understood science into regulation and policy continues to be challenging. There is a developing consensus that NMs may pose a relatively low environmental risk, but because of uncertainty and lack of data in many areas, definitive conclusions cannot be drawn. In addition, this emerging consensus will likely change rapidly with qualitative changes in the technology and increased future discharges.&nbsp;</span></p>","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.4147","usgsCitation":"Lead, J.R., Batley, G.E., Alvarez, P.J., Croteau, M.N., Handy, R.D., McLaughlin, M., Judy, J.D., and Schirmer, K., 2018, Nanomaterials in the environment: Behavior, fate, bioavailability, and effects—An updated review: Environmental Toxicology and Chemistry, v. 37, no. 8, p. 2029-2063, https://doi.org/10.1002/etc.4147.","productDescription":"35 p.","startPage":"2029","endPage":"2063","ipdsId":"IP-094801","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":468738,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.4147","text":"Publisher Index Page"},{"id":354409,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-06","publicationStatus":"PW","scienceBaseUri":"5b155d79e4b092d9651e1b44","contributors":{"authors":[{"text":"Lead, Jamie R.","contributorId":41331,"corporation":false,"usgs":false,"family":"Lead","given":"Jamie","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":736234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Batley, Graeme E.","contributorId":205153,"corporation":false,"usgs":false,"family":"Batley","given":"Graeme","email":"","middleInitial":"E.","affiliations":[{"id":12494,"text":"CSIRO Land and Water, Australia","active":true,"usgs":false}],"preferred":false,"id":736235,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alvarez, Pedro J.J.","contributorId":205154,"corporation":false,"usgs":false,"family":"Alvarez","given":"Pedro","email":"","middleInitial":"J.J.","affiliations":[{"id":37035,"text":"Rice University, Houston, Texas, USA","active":true,"usgs":false}],"preferred":false,"id":736236,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Croteau, Marie Noele 0000-0003-0346-3580 mcroteau@usgs.gov","orcid":"https://orcid.org/0000-0003-0346-3580","contributorId":895,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie","email":"mcroteau@usgs.gov","middleInitial":"Noele","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":736233,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Handy, Richard D.","contributorId":205155,"corporation":false,"usgs":false,"family":"Handy","given":"Richard","email":"","middleInitial":"D.","affiliations":[{"id":37036,"text":"University of Plymouth, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":736237,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McLaughlin, Michael J.","contributorId":205156,"corporation":false,"usgs":false,"family":"McLaughlin","given":"Michael J.","affiliations":[{"id":13368,"text":"University of Adelaide, Australia","active":true,"usgs":false}],"preferred":false,"id":736238,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Judy, Jonathon D.","contributorId":205157,"corporation":false,"usgs":false,"family":"Judy","given":"Jonathon","email":"","middleInitial":"D.","affiliations":[{"id":37037,"text":"University of Florida, Florida USA","active":true,"usgs":false}],"preferred":false,"id":736239,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schirmer, Kristin","contributorId":176360,"corporation":false,"usgs":false,"family":"Schirmer","given":"Kristin","email":"","affiliations":[],"preferred":false,"id":736240,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70197221,"text":"70197221 - 2018 - Enhancement of a parsimonious water balance model to simulate surface hydrology in a glacierized watershed","interactions":[],"lastModifiedDate":"2018-10-11T15:00:36","indexId":"70197221","displayToPublicDate":"2018-05-23T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Enhancement of a parsimonious water balance model to simulate surface hydrology in a glacierized watershed","docAbstract":"<p><span>The U.S. Geological Survey monthly water balance model (MWBM) was enhanced with the capability to simulate glaciers in order to make it more suitable for simulating cold region hydrology. The new model, MWBMglacier, is demonstrated in the heavily glacierized and ecologically important Copper River watershed in Southcentral Alaska. Simulated water budget components compared well to satellite‐based observations and ground measurements of streamflow, evapotranspiration, snow extent, and total water storage, with differences ranging from 0.2% to 7% of the precipitation flux. Nash Sutcliffe efficiency for simulated and observed streamflow was greater than 0.8 for six of eight stream gages. Snow extent matched satellite‐based observations with Nash Sutcliffe efficiency values of greater than 0.89 in the four Copper River ecoregions represented. During the simulation period 1949 to 2009, glacier ice melt contributed 25% of total runoff, ranging from 12% to 45% in different tributaries, and glacierized area was reduced by 6%. Statistically significant (</span><i>p</i><span>&nbsp;&lt;&nbsp;0.05) decreasing and increasing trends in annual glacier mass balance occurred during the multidecade cool and warm phases of the Pacific Decadal Oscillation, respectively, reinforcing the link between climate perturbations and glacier mass balance change. The simulations of glaciers and total runoff for a large, remote region of Alaska provide useful data to evaluate hydrologic, cryospheric, ecologic, and climatic trends. MWBM glacier is a valuable tool to understand when, and to what extent, streamflow may increase or decrease as glaciers respond to a changing climate.</span></p>","language":"English","publisher":"AGU","doi":"10.1029/2017JF004482","usgsCitation":"Valentin, M.M., Viger, R.J., Van Beusekom, A.E., Hay, L.E., Hogue, T.S., and Foks, N.L., 2018, Enhancement of a parsimonious water balance model to simulate surface hydrology in a glacierized watershed: Journal of Geophysical Research F: Earth Surface, v. 123, no. 5, p. 1116-1132, https://doi.org/10.1029/2017JF004482.","productDescription":"17 p.","startPage":"1116","endPage":"1132","ipdsId":"IP-094374","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true},{"id":37273,"text":"Advanced Research Computing (ARC)","active":true,"usgs":true}],"links":[{"id":468839,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2017jf004482","text":"Publisher Index Page"},{"id":354424,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"123","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-23","publicationStatus":"PW","scienceBaseUri":"5b155d78e4b092d9651e1b3c","contributors":{"authors":[{"text":"Valentin, Melissa M.","contributorId":205172,"corporation":false,"usgs":false,"family":"Valentin","given":"Melissa","email":"","middleInitial":"M.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":736281,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Viger, Roland J. 0000-0003-2520-714X rviger@usgs.gov","orcid":"https://orcid.org/0000-0003-2520-714X","contributorId":147818,"corporation":false,"usgs":true,"family":"Viger","given":"Roland","email":"rviger@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":false,"id":736280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Beusekom, Ashley E. 0000-0002-6996-978X beusekom@usgs.gov","orcid":"https://orcid.org/0000-0002-6996-978X","contributorId":3992,"corporation":false,"usgs":true,"family":"Van Beusekom","given":"Ashley","email":"beusekom@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":736282,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":736283,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hogue, Terri S.","contributorId":205175,"corporation":false,"usgs":false,"family":"Hogue","given":"Terri","email":"","middleInitial":"S.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":736284,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Foks, Nathan Leon","contributorId":194012,"corporation":false,"usgs":false,"family":"Foks","given":"Nathan","email":"","middleInitial":"Leon","affiliations":[],"preferred":false,"id":736285,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
]}