Anthropogenic climate change is causing a wide range of stresses in aquatic ecosystems, primarily through warming thermal conditions. Lakes, in response to these changes, are experiencing increases in both summer temperatures and ice-free days. We used continuous records of lake surface temperature and air temperature to create statistical models of daily mean lake surface temperature to assess thermal changes in mountain lakes. These models were combined with downscaled climate projections to predict future thermal conditions for 27 high-elevation lakes in the southern Rocky Mountains. The models predict a 0.25°C·decade-1increase in mean annual lake surface temperature through the 2080s, which is greater than warming rates of streams in this region. Most striking is that on average, ice-free days are predicted to increase by 5.9 days ·decade-1, and summer mean lake surface temperature is predicted to increase by 0.47°C·decade-1. Both could profoundly alter the length of the growing season and potentially change the structure and function of mountain lake ecosystems. These results highlight the changes expected of mountain lakes and stress the importance of incorporating climate-related adaptive strategies in the development of resource management plans.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0179498","usgsCitation":"Roberts, J., Fausch, K., Schmidt, T., and Walters, D.M., 2017, Thermal regimes of Rocky Mountain lakes warm with climate change: PLoS ONE, v. 12, no. 7, p. 1-17, https://doi.org/10.1371/journal.pone.0179498.","productDescription":"e0179498, 17 p.","startPage":"1","endPage":"17","ipdsId":"IP-076491","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":469687,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0179498","text":"Publisher Index Page"},{"id":343510,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Rocky Mountains","volume":"12","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-06","publicationStatus":"PW","scienceBaseUri":"59649232e4b0d1f9f05acd16","contributors":{"authors":[{"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":704032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fausch, Kurt D. 0000-0001-5825-7560","orcid":"https://orcid.org/0000-0001-5825-7560","contributorId":29370,"corporation":false,"usgs":false,"family":"Fausch","given":"Kurt D.","affiliations":[],"preferred":false,"id":704033,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":704034,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walters, David M. 0000-0002-4237-2158 waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":140992,"corporation":false,"usgs":true,"family":"Walters","given":"David","email":"waltersd@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":704035,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189641,"text":"70189641 - 2017 - Reassessing rainfall in the Luquillo Mountains, Puerto Rico: Local and global ecohydrological implications","interactions":[],"lastModifiedDate":"2017-07-19T10:21:08","indexId":"70189641","displayToPublicDate":"2017-07-07T00:00:00","publicationYear":"2017","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":"Reassessing rainfall in the Luquillo Mountains, Puerto Rico: Local and global ecohydrological implications","docAbstract":"Mountains receive a greater proportion of precipitation than other environments, and thus make a disproportionate contribution to the world’s water supply. The Luquillo Mountains receive the highest rainfall on the island of Puerto Rico and serve as a critical source of water to surrounding communities. The area’s role as a long-term research site has generated numerous hydrological, ecological, and geological investigations that have been included in regional and global overviews that compare tropical forests to other ecosystems. Most of the forest- and watershed-wide estimates of precipitation (and evapotranspiration, as inferred by a water balance) have assumed that precipitation increases consistently with elevation. However, in this new analysis of all known current and historical rain gages in the region, we find that similar to other mountainous islands in the trade wind latitudes, leeward (western) watersheds in the Luquillo Mountains receive lower mean annual precipitation than windward (eastern) watersheds. Previous studies in the Luquillo Mountains have therefore overestimated precipitation in leeward watersheds by up to 40%. The Icacos watershed, however, despite being located at elevations 200–400 m below the tallest peaks and to the lee of the first major orographic barrier, receives some of the highest precipitation. Such lee-side enhancement has been observed in other island mountains of similar height and width, and may be caused by several mechanisms. Thus, the long-reported discrepancy of unrealistically low rates of evapotranspiration in the Icacos watershed is likely caused by previous underestimation of precipitation, perhaps by as much as 20%. Rainfall/runoff ratios in several previous studies suggested either runoff excess or runoff deficiency in Luquillo watersheds, but this analysis suggests that in fact they are similar to other tropical watersheds. Because the Luquillo Mountains often serve as a wet tropical archetype in global assessments of basic ecohydrological processes, these revised estimates are relevant to regional and global assessments of runoff efficiency, hydrologic effects of reforestation, geomorphic processes, and climate change.","language":"English","publisher":"PLOS One ","doi":"10.1371/journal.pone.0180987","usgsCitation":"Murphy, S.F., Stallard, R.F., Scholl, M.A., Gonzalez, G., and Torres-Sanchez, A.J., 2017, Reassessing rainfall in the Luquillo Mountains, Puerto Rico: Local and global ecohydrological implications: PLoS ONE, v. 12, no. 7, p. 1-26, https://doi.org/10.1371/journal.pone.0180987.","productDescription":"26 p. ","startPage":"1","endPage":"26","ipdsId":"IP-080138","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":469688,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0180987","text":"Publisher Index Page"},{"id":438274,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F74F1PM2","text":"USGS data release","linkHelpText":"Geospatial data for Luquillo Mountains, Puerto Rico: Mean annual precipitation, elevation, watershed outlines, and rain gage locations"},{"id":344032,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Puerto Rico","otherGeospatial":"Luquillo Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -65.85823059082031,\n 18.416101440661425\n ],\n [\n -65.87677001953125,\n 18.239459898052168\n ],\n [\n -65.66356658935547,\n 18.203588160154492\n ],\n [\n -65.63884735107422,\n 18.195108305906903\n ],\n [\n -65.62271118164062,\n 18.204566578321632\n ],\n [\n -65.62992095947266,\n 18.21956830199711\n ],\n [\n -65.63232421875,\n 18.22674258246203\n ],\n [\n -65.621337890625,\n 18.22674258246203\n ],\n [\n -65.61653137207031,\n 18.215002696822772\n ],\n [\n -65.60932159423828,\n 18.206197263056133\n ],\n [\n -65.59730529785156,\n 18.207175666569977\n ],\n [\n -65.58563232421875,\n 18.223481582551347\n ],\n [\n -65.5828857421875,\n 18.23522089617796\n ],\n [\n -65.57498931884766,\n 18.249567870028727\n ],\n [\n -65.59490203857422,\n 18.265543787725044\n ],\n [\n -65.61721801757812,\n 18.26000128888889\n ],\n [\n -65.6271743774414,\n 18.262935575018307\n ],\n [\n -65.62545776367186,\n 18.269456033308646\n ],\n [\n -65.62202453613281,\n 18.27956225952556\n ],\n [\n -65.6264877319336,\n 18.286082093014507\n ],\n [\n -65.62511444091797,\n 18.292927654329933\n ],\n [\n -65.6209945678711,\n 18.3017286930179\n ],\n [\n -65.62305450439453,\n 18.32910684206841\n ],\n [\n -65.62889099121094,\n 18.33562481050443\n ],\n [\n -65.62820434570312,\n 18.34572717593956\n ],\n [\n -65.61790466308592,\n 18.362997593747227\n ],\n [\n -65.60829162597656,\n 18.38841129210483\n ],\n [\n -65.62374114990234,\n 18.393949677950552\n ],\n [\n -65.63507080078125,\n 18.384827535834386\n ],\n [\n -65.64640045166016,\n 18.383524333263548\n ],\n [\n -65.65498352050781,\n 18.37635654305257\n ],\n [\n -65.65601348876953,\n 18.366255969430792\n ],\n [\n -65.67489624023438,\n 18.36690763718548\n ],\n [\n -65.67970275878906,\n 18.372446713735965\n ],\n [\n -65.70201873779297,\n 18.37505327646064\n ],\n [\n -65.70682525634766,\n 18.384827535834386\n ],\n [\n -65.71849822998047,\n 18.39004024759526\n ],\n [\n -65.73188781738281,\n 18.386130728553585\n ],\n [\n -65.7421875,\n 18.383850134829828\n ],\n [\n -65.7528305053711,\n 18.393298112384137\n ],\n [\n -65.75969696044922,\n 18.400465198084483\n ],\n [\n -65.76416015625,\n 18.412518260517015\n ],\n [\n -65.76416015625,\n 18.417078658661257\n ],\n [\n -65.77205657958984,\n 18.417404396761235\n ],\n [\n -65.78338623046875,\n 18.413169753365086\n ],\n [\n -65.79093933105469,\n 18.409586512183846\n ],\n [\n -65.7864761352539,\n 18.41675291994462\n ],\n [\n -65.78475952148438,\n 18.4209874751591\n ],\n [\n -65.78750610351562,\n 18.424570478928107\n ],\n [\n -65.79711914062499,\n 18.4268505333736\n ],\n [\n -65.81119537353516,\n 18.422290394255956\n ],\n [\n -65.82389831542969,\n 18.42391902924885\n ],\n [\n -65.82767486572266,\n 18.42815340805579\n ],\n [\n -65.83660125732422,\n 18.43499333816783\n ],\n [\n -65.8469009399414,\n 18.437924653474408\n ],\n [\n -65.8575439453125,\n 18.43987883590277\n ],\n [\n -65.85823059082031,\n 18.416101440661425\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-07","publicationStatus":"PW","scienceBaseUri":"59706fb4e4b0d1f9f065a87e","contributors":{"authors":[{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":705543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stallard, Robert F. 0000-0001-8209-7608 stallard@usgs.gov","orcid":"https://orcid.org/0000-0001-8209-7608","contributorId":1924,"corporation":false,"usgs":true,"family":"Stallard","given":"Robert","email":"stallard@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":705545,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scholl, Martha A. 0000-0001-6994-4614 mascholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6994-4614","contributorId":1920,"corporation":false,"usgs":true,"family":"Scholl","given":"Martha","email":"mascholl@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":705546,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gonzalez, Grizelle","contributorId":194872,"corporation":false,"usgs":false,"family":"Gonzalez","given":"Grizelle","affiliations":[],"preferred":false,"id":705544,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Torres-Sanchez, Angel J. 0000-0002-5595-021X ajtorres@usgs.gov","orcid":"https://orcid.org/0000-0002-5595-021X","contributorId":5623,"corporation":false,"usgs":true,"family":"Torres-Sanchez","given":"Angel","email":"ajtorres@usgs.gov","middleInitial":"J.","affiliations":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"preferred":true,"id":705547,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70188672,"text":"ofr20171077 - 2017 - Factors affecting marsh vegetation at the Liberty Island Conservation Bank in the Cache Slough region of the Sacramento–San Joaquin Delta, California","interactions":[],"lastModifiedDate":"2017-07-07T15:59:11","indexId":"ofr20171077","displayToPublicDate":"2017-07-07T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1077","title":"Factors affecting marsh vegetation at the Liberty Island Conservation Bank in the Cache Slough region of the Sacramento–San Joaquin Delta, California","docAbstract":"The Liberty Island Conservation Bank (LICB) is a tidal freshwater marsh restored for the purpose of mitigating adverse effects on sensitive fish populations elsewhere in the region. The LICB was completed in 2012 and is in the northern Cache Slough region of the Sacramento–San Joaquin Delta. The wetland vegetation at the LICB is stunted and yellow-green in color (chlorotic) compared to nearby wetlands. A study was done to investigate three potential causes of the stunted and chlorotic vegetation: (1) improper grading of the marsh plain, (2) pesticide contamination from agricultural and urban inputs upstream from the site, (3) nitrogen-deficient soil, or some combination of these. Water samples were collected from channels at five sites, and soil samples were collected from four wetlands, including the LICB, during the summer of 2015. Real-time kinematic global positioning system (RTK-GPS) elevation surveys were completed at the LICB and north Little Holland Tract, a closely situated natural marsh that has similar hydrodynamics as the LICB, but contains healthy marsh vegetation.
The results showed no significant differences in carbon or nitrogen content in the surface soils or in pesticides in water among the sites. The elevation survey indicated that the mean elevation of the LICB was about 26 centimeters higher than that of the north Little Holland Tract marsh. Because marsh plain elevation largely determines the hydroperiod of a marsh, these results indicated that the LICB has a hydroperiod that differs from that of neighboring north Little Holland Tract marsh. This difference in hydroperiod contributed to the lower stature and decreased vigor of wetland vegetation at the LICB. Although the LICB cannot be regraded without great expense, it could be possible to reduce the sharp angle of the marsh edge to facilitate deeper and more frequent tidal flooding along the marsh periphery. Establishing optimal elevations for restored wetlands is necessary for obtaining the full suite of ecosystem services provided by tidal wetlands. A better system of tidal benchmarks throughout the delta is needed to help restoration practitioners correctly grade the elevation of newly restored wetlands.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171077","usgsCitation":"Orlando, J.L., and Drexler, J.Z., 2017, Factors affecting marsh vegetation at the Liberty Island Conservation Bank in the Cache Slough region of the Sacramento–San Joaquin Delta, California, 2017: U.S. Geological Survey Open-File Report 2017–1077, 25 p., https://doi.org/10.3133/ofr20171077.","productDescription":"v, 25 p.","numberOfPages":"36","onlineOnly":"Y","ipdsId":"IP-075770","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":343340,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1077/ofr20171077.pdf","text":"Report","size":"2.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1077"},{"id":343339,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1077/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Liberty Island Conservation Bank, Sacramento–San Joaquin Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.80370330810547,\n 38.15939647721454\n ],\n [\n -121.5427780151367,\n 38.15939647721454\n ],\n [\n -121.5427780151367,\n 38.4167\n ],\n [\n -121.80370330810547,\n 38.4167\n ],\n [\n -121.80370330810547,\n 38.15939647721454\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
The coastal and upslope terrains of West Maui have had a long history of impacts owing to more than a century of human activities. Resource extraction, agriculture, as well as residential and resort development have caused land-based pollution that impairs water quality and adversely impact the adjacent marine ecosystem. Today, West Maui’s coral reefs are chronically impacted by the effects of land-based pollution, mainly sedimentation and nutrients, with documented losses of 30 – 75% in coral cover over the last 20 years. Nonetheless, despite their current status and levels of environmental impact, these coral reef communities represent a key local resource and a counterpoint to the overall low coral reef development levels both island- and state-wide. This is of high relevance because the occurrence of coral-rich assemblages and accreted reef complexes statewide is sparse. Only limited segments along the coastlines of Maui, Hawai‘i, Lana‘i, Moloka‘i, and Kaho‘olawe, harbor mature, fringing coral reefs; and unfortunately, many of them are seriously threatened by terrestrial runoff.
This report describes the results of baseline assessment surveys of coral reef benthic structure, coral community demographics, and coral condition. These surveys are intended to provide benchmarks for continued monitoring efforts and provide a gauge for comparing and evaluating the effectiveness of management actions to reduce land-based sources of pollution in priority watersheds on West Maui. Within this context, 12 permanent, long-term monitoring sites were strategically established adjacent to the 7 primary stream drainages (Wahikuli, Honokōwai, Mahinahina, Kahana/Ka‘opala, Honokeana, Honokahua, and Honolua) within the five priority watersheds (Wahikuli, Honokōwai, Kahana, Honokahua, and Honolua). Herein, benthic cover and composition, coral demographics, and coral condition of the monitoring sites are described and contrasted in the “Benthic Characterization” and “Synthesis and Discussion” sections of this report.
The baseline assessments revealed that although some areas harbor prominent coral reef structures with high live coral cover and multispecies assemblages, others are characterized by sediment-impacted corals in impoverished and species-poor communities. Mean coral cover varied widely, from 49% at Wahikuli-shallow to 4.6% at Mahinahina-shallow. Similarly, coralline algal cover averaged 12.7% at Ka‘opala and Honokeana-north, but was altogether absent at the Mahinahina sites. Macroalgae was a minor component of the benthos across all study sites, representing only up to 2.3% at Mahinahina-south, while turf algae varied considerably, from 41% at Honokeana-north to 84% at the Honokahua site. Consequently, the Benthic Substrate Ratio (BSR) also varied considerably region wide, with the highest values (≥ 1), suggesting a healthier reef condition reported for the Wahikuli, Honokeana, and Honokōwai sites; and the lowest (≤ 0.5), suggesting impairment in structure and function, recorded at the Honolua and Honokahua sites. Adult colony densities were the highest at the Wahikuli (27 col/m2) but lowest at the Ka‘opala (7 col/m2 ) site. And, colony partial mortality peaked at the Ka‘opala (33%) and was the lowest at the Honokeana Bay (12%). Moreover, in-situ and derived estimates of water turbidity and sediment loading revealed that the Ka‘opala and Wahikuli stream sites ranked the highest for turbidity, whereas the Honokōwai and Ka‘opala sites ranked highest for sediment loading.
Chronic and episodic terrestrial sediment stress has resulted in coral reef community demise, clearly illustrated at the Honolua, Honokahua, and Ka‘opala sites, where coral benthic cover and colony abundances ranked the lowest and levels of turf algae ranked among the highest. Left unattended, land-based pollution impacts will continue to negatively affect the coral reef communities of West Maui. And, under the current turbidity and sediment loading conditions, the coral-rich habitats in the Wahikuli and Honōkowai Watersheds are probably at greatest risk, given they harbor the most prominent and well-developed reefs in the region, characterized by the highest coral cover, colony densities, and structural complexity.
","language":"English","publisher":"National Oceanic and Atmospheric Administration","doi":"10.7289/V5/SP-PIFSC-17-001","usgsCitation":"Vargas-Angel, B., White, D., Storlazzi, C.D., Callender, T., and Maurin, P., 2017, Baseline assessments for coral reef community structure and demographics on West Maui: NOAA Data Report, ii, 45 p., https://doi.org/10.7289/V5/SP-PIFSC-17-001.","productDescription":"ii, 45 p.","ipdsId":"IP-086300","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":343288,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"West Maui","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.6379165649414,\n 21.024905354176795\n ],\n [\n -156.6767120361328,\n 21.06559896350614\n ],\n [\n -156.69422149658203,\n 21.052462872230283\n ],\n [\n -156.70211791992188,\n 21.040607355616125\n ],\n [\n -156.71207427978516,\n 21.024584887940854\n ],\n [\n -156.71825408935547,\n 21.016252524016362\n ],\n [\n -156.7306137084961,\n 20.99477851781938\n ],\n [\n -156.741943359375,\n 20.972980845527278\n ],\n [\n -156.75430297851562,\n 20.94957686478021\n ],\n [\n -156.76082611083984,\n 20.926169223379183\n ],\n [\n -156.76151275634766,\n 20.899871347076424\n ],\n [\n -156.75498962402344,\n 20.88190917234547\n ],\n [\n -156.68426513671875,\n 20.89858840588033\n ],\n [\n -156.6767120361328,\n 20.900833545774706\n ],\n [\n -156.66881561279297,\n 20.901795738302358\n ],\n [\n -156.65508270263672,\n 20.899229877849546\n ],\n [\n -156.64684295654297,\n 20.89826766886736\n ],\n [\n -156.63619995117185,\n 20.89826766886736\n ],\n [\n -156.6265869140625,\n 20.89730545371515\n ],\n [\n -156.6152572631836,\n 20.89730545371515\n ],\n [\n -156.60598754882812,\n 20.89730545371515\n ],\n [\n -156.59500122070312,\n 20.897626192784767\n ],\n [\n -156.59156799316406,\n 20.89313578342983\n ],\n [\n -156.58676147460938,\n 20.891211281151076\n ],\n [\n -156.58401489257812,\n 20.892815034763537\n ],\n [\n -156.58882141113278,\n 20.900833545774706\n ],\n [\n -156.58882141113278,\n 20.910134481692683\n ],\n [\n -156.59053802490234,\n 20.91622788558216\n ],\n [\n -156.59088134765625,\n 20.92520718725181\n ],\n [\n -156.5929412841797,\n 20.931941310423674\n ],\n [\n -156.59534454345703,\n 20.937713175055322\n ],\n [\n -156.59671783447263,\n 20.948294349058564\n ],\n [\n -156.5994644165039,\n 20.95566866435424\n ],\n [\n -156.60083770751953,\n 20.96656916027155\n ],\n [\n -156.60770416259766,\n 20.982597857722464\n ],\n [\n -156.6156005859375,\n 20.99734274071184\n ],\n [\n -156.62281036376953,\n 21.00631717395065\n ],\n [\n -156.62521362304688,\n 21.010804188178703\n ],\n [\n -156.63311004638672,\n 21.020098288303867\n ],\n [\n -156.6379165649414,\n 21.024905354176795\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595dfaa9e4b0d1f9f056a71a","contributors":{"authors":[{"text":"Vargas-Angel, Bernardo","contributorId":194121,"corporation":false,"usgs":false,"family":"Vargas-Angel","given":"Bernardo","email":"","affiliations":[],"preferred":false,"id":703263,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Darla","contributorId":194122,"corporation":false,"usgs":false,"family":"White","given":"Darla","affiliations":[],"preferred":false,"id":703264,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":703262,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Callender, Tova","contributorId":148347,"corporation":false,"usgs":false,"family":"Callender","given":"Tova","email":"","affiliations":[{"id":17203,"text":"West Maui Watershed Partnership","active":true,"usgs":false}],"preferred":false,"id":703265,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maurin, Paulo","contributorId":194123,"corporation":false,"usgs":false,"family":"Maurin","given":"Paulo","email":"","affiliations":[],"preferred":false,"id":703266,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70189150,"text":"70189150 - 2017 - Remote measurement of high preeruptive water vapor emissions at Sabancaya volcano by passive differential optical absorption spectroscopy","interactions":[],"lastModifiedDate":"2017-07-03T09:29:03","indexId":"70189150","displayToPublicDate":"2017-07-03T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Remote measurement of high preeruptive water vapor emissions at Sabancaya volcano by passive differential optical absorption spectroscopy","docAbstract":"Water (H2O) is by far the most abundant volcanic volatile species and plays a predominant role in driving volcanic eruptions. However, numerous difficulties associated with making accurate measurements of water vapor in volcanic plumes have limited their use as a diagnostic tool. Here we present the first detection of water vapor in a volcanic plume using passive visible-light differential optical absorption spectroscopy (DOAS). Ultraviolet and visible-light DOAS measurements were made on 21 May 2016 at Sabancaya Volcano, Peru. We find that Sabancaya's plume contained an exceptionally high relative water vapor abundance 6 months prior to its November 2016 eruption. Our measurements yielded average sulfur dioxide (SO2) emission rates of 800–900 t/d, H2O emission rates of around 250,000 t/d, and an H2O/SO2 molecular ratio of 1000 which is about an order of magnitude larger than typically found in high-temperature volcanic gases. We attribute the high water vapor emissions to a boiling-off of Sabancaya's hydrothermal system caused by intrusion of magma to shallow depths. This hypothesis is supported by a significant increase in the thermal output of the volcanic edifice detected in infrared satellite imagery leading up to and after our measurements. Though the measurement conditions encountered at Sabancaya were very favorable for our experiment, we show that visible-light DOAS systems could be used to measure water vapor emissions at numerous other high-elevation volcanoes. Such measurements would provide observatories with additional information particularly useful for forecasting eruptions at volcanoes harboring significant hydrothermal systems.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017JB014020","usgsCitation":"Kern, C., Masias, P., Apaza, F., Reath, K., and Platt, U., 2017, Remote measurement of high preeruptive water vapor emissions at Sabancaya volcano by passive differential optical absorption spectroscopy: Journal of Geophysical Research B: Solid Earth, v. 122, no. 5, p. 3540-3564, https://doi.org/10.1002/2017JB014020.","productDescription":"25 p.","startPage":"3540","endPage":"3564","ipdsId":"IP-083524","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":469701,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/2017jb014020","text":"External Repository"},{"id":343266,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-21","publicationStatus":"PW","scienceBaseUri":"595b5797e4b0d1f9f0536da9","contributors":{"authors":[{"text":"Kern, Christoph 0000-0002-8920-5701 ckern@usgs.gov","orcid":"https://orcid.org/0000-0002-8920-5701","contributorId":3387,"corporation":false,"usgs":true,"family":"Kern","given":"Christoph","email":"ckern@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":703175,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Masias, Pablo","contributorId":190934,"corporation":false,"usgs":false,"family":"Masias","given":"Pablo","email":"","affiliations":[],"preferred":false,"id":703176,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Apaza, Fredy","contributorId":190927,"corporation":false,"usgs":false,"family":"Apaza","given":"Fredy","email":"","affiliations":[],"preferred":false,"id":703177,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reath, Kevin","contributorId":194091,"corporation":false,"usgs":false,"family":"Reath","given":"Kevin","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":703178,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Platt, Ulrich","contributorId":194092,"corporation":false,"usgs":false,"family":"Platt","given":"Ulrich","email":"","affiliations":[],"preferred":false,"id":703179,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70189151,"text":"70189151 - 2017 - The difficulty of measuring the absorption of scattered sunlight by H2O and CO2 in volcanic plumes: A comment on Pering et al. “A novel and inexpensive method for measuring volcanic plume water fluxes at high temporal resolution,” Remote Sens. 2017, 9, 146","interactions":[],"lastModifiedDate":"2017-07-03T09:24:14","indexId":"70189151","displayToPublicDate":"2017-07-03T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The difficulty of measuring the absorption of scattered sunlight by H2O and CO2 in volcanic plumes: A comment on Pering et al. “A novel and inexpensive method for measuring volcanic plume water fluxes at high temporal resolution,” Remote Sens. 2017, 9, 146","title":"The difficulty of measuring the absorption of scattered sunlight by H2O and CO2 in volcanic plumes: A comment on Pering et al. “A novel and inexpensive method for measuring volcanic plume water fluxes at high temporal resolution,” Remote Sens. 2017, 9, 146","docAbstract":"In their recent study, Pering et al. (2017) presented a novel method for measuring volcanic water vapor fluxes. Their method is based on imaging volcanic gas and aerosol plumes using a camera sensitive to the near-infrared (NIR) absorption of water vapor. The imaging data are empirically calibrated by comparison with in situ water measurements made within the plumes. Though the presented method may give reasonable results over short time scales, the authors fail to recognize the sensitivity of the technique to light scattering on aerosols within the plume. In fact, the signals measured by Pering et al. are not related to the absorption of NIR radiation by water vapor within the plume. Instead, the measured signals are most likely caused by a change in the effective light path of the detected radiation through the atmospheric background water vapor column. Therefore, their method is actually based on establishing an empirical relationship between in-plume scattering efficiency and plume water content. Since this relationship is sensitive to plume aerosol abundance and numerous environmental factors, the method will only yield accurate results if it is calibrated very frequently using other measurement techniques.","language":"English","publisher":"Multidisciplinary Digital Publishing Institute","doi":"10.3390/rs9060534","usgsCitation":"Kern, C., 2017, The difficulty of measuring the absorption of scattered sunlight by H2O and CO2 in volcanic plumes: A comment on Pering et al. “A novel and inexpensive method for measuring volcanic plume water fluxes at high temporal resolution,” Remote Sens. 2017, 9, 146: Remote Sensing, v. 9, no. 6, Article 534: 11 p., https://doi.org/10.3390/rs9060534.","productDescription":"Article 534: 11 p.","ipdsId":"IP-086338","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":469700,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs9060534","text":"Publisher Index Page"},{"id":343265,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-27","publicationStatus":"PW","scienceBaseUri":"595b5795e4b0d1f9f0536da4","contributors":{"authors":[{"text":"Kern, Christoph 0000-0002-8920-5701 ckern@usgs.gov","orcid":"https://orcid.org/0000-0002-8920-5701","contributorId":3387,"corporation":false,"usgs":true,"family":"Kern","given":"Christoph","email":"ckern@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":703180,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70202396,"text":"70202396 - 2017 - How uncertainty analysis of streamflow data can reduce costs and promote robust decisions in water management applications","interactions":[],"lastModifiedDate":"2019-02-27T13:02:14","indexId":"70202396","displayToPublicDate":"2017-07-01T13:02:07","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"How uncertainty analysis of streamflow data can reduce costs and promote robust decisions in water management applications","docAbstract":"Streamflow data are used for important environmental and economic decisions, such as specifying and regulating minimum flows, managing water supplies, and planning for flood hazards. Despite significant uncertainty in most flow data, the flow series for these applications are often communicated and used without uncertainty information. In this commentary, we argue that proper analysis of uncertainty in river flow data can reduce costs and promote robust conclusions in water management applications. We substantiate our argument by providing case studies from Norway and New Zealand where streamflow uncertainty analysis has uncovered economic costs in the hydropower industry, improved public acceptance of a controversial water management policy, and tested the accuracy of water quality trends. We discuss the need for practical uncertainty assessment tools that generate multiple flow series realizations rather than simple error bounds. Although examples of such tools are in development, considerable barriers for uncertainty analysis and communication still exist for practitioners, and future research must aim to provide easier access and usability of uncertainty estimates. We conclude that flow uncertainty analysis is critical for good water management decisions.
","language":"English","publisher":"AGU","doi":"10.1002/2016WR020328","usgsCitation":"McMilan, H., Seibert, J., Petersen-Overleir, A., Lang, M., White, P., Snelder, T., Rutherford, K., Krueger, T., Mason,, R., and Kiang, J.E., 2017, How uncertainty analysis of streamflow data can reduce costs and promote robust decisions in water management applications: Water Resources Research, v. 53, no. 7, p. 5220-5228, https://doi.org/10.1002/2016WR020328.","productDescription":"9 p.","startPage":"5220","endPage":"5228","ipdsId":"IP-088336","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":469702,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/2016wr020328","text":"External Repository"},{"id":361589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-20","publicationStatus":"PW","contributors":{"authors":[{"text":"McMilan, Hilary","contributorId":213624,"corporation":false,"usgs":false,"family":"McMilan","given":"Hilary","email":"","affiliations":[{"id":38824,"text":"Department of Geology; San Diego State University, USA","active":true,"usgs":false}],"preferred":false,"id":758172,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seibert, Jan","contributorId":176322,"corporation":false,"usgs":false,"family":"Seibert","given":"Jan","email":"","affiliations":[],"preferred":false,"id":758173,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Petersen-Overleir, Asgeir","contributorId":213625,"corporation":false,"usgs":false,"family":"Petersen-Overleir","given":"Asgeir","email":"","affiliations":[{"id":38825,"text":"Market Operations Hydrology, Statkraft Energi AS, Norway","active":true,"usgs":false}],"preferred":false,"id":758174,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lang, Michel","contributorId":213626,"corporation":false,"usgs":false,"family":"Lang","given":"Michel","email":"","affiliations":[{"id":38826,"text":"Irstea, UR HHLY, Hydrology-Hydraulics, Villeurbanne, France","active":true,"usgs":false}],"preferred":false,"id":758175,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, Paul","contributorId":213695,"corporation":false,"usgs":false,"family":"White","given":"Paul","affiliations":[],"preferred":false,"id":758176,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Snelder, Ton","contributorId":213627,"corporation":false,"usgs":false,"family":"Snelder","given":"Ton","email":"","affiliations":[{"id":38827,"text":"LWP Let, 145c Colombo Street, Christchurch, New Zealand","active":true,"usgs":false}],"preferred":false,"id":758177,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rutherford, Kit","contributorId":213628,"corporation":false,"usgs":false,"family":"Rutherford","given":"Kit","email":"","affiliations":[{"id":38828,"text":"National Institute of Water and Atmospheric Research, Napier, New Zealand","active":true,"usgs":false}],"preferred":false,"id":758178,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Krueger, Tobias","contributorId":213629,"corporation":false,"usgs":false,"family":"Krueger","given":"Tobias","email":"","affiliations":[{"id":38829,"text":"IRI THESys, Humboldt-Universitat zu Berlin, Germany","active":true,"usgs":false}],"preferred":false,"id":758179,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mason,, Robert R. Jr. 0000-0002-3998-3468 rrmason@usgs.gov","orcid":"https://orcid.org/0000-0002-3998-3468","contributorId":176493,"corporation":false,"usgs":true,"family":"Mason,","given":"Robert R.","suffix":"Jr.","email":"rrmason@usgs.gov","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":758171,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kiang, Julie E. 0000-0003-0653-4225 jkiang@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-4225","contributorId":2179,"corporation":false,"usgs":true,"family":"Kiang","given":"Julie","email":"jkiang@usgs.gov","middleInitial":"E.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":758180,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70237288,"text":"70237288 - 2017 - Geomorphic processes responsible for decadal-scale arroyo changes, Rio Puerco, New Mexico","interactions":[],"lastModifiedDate":"2022-10-06T13:31:32.552288","indexId":"70237288","displayToPublicDate":"2017-07-01T08:25:17","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Geomorphic processes responsible for decadal-scale arroyo changes, Rio Puerco, New Mexico","docAbstract":"The channel and arroyo of the Rio Puerco have continued to evolve since incision in the late 1800s. Resurveys of channel cross sections and aerial imagery over time indicate that between the 1970s and 1990s, the upstream reaches (type 1 morphology) of the Rio Puerco have continued to undergo construction of an incipient inner floodplain by means of vertical aggradation while simultaneously developing a narrower, but relatively shallow, channel. Downstream reaches (type 2 morphology) also show progressive channel width decrease, construction of a well-vegetated and mature inner floodplain, and deposition in the active channel, leading to an increase in the streambed elevation.
Trends in rainfall and streamflow cannot explain the observed decadal patterns in sediment deposition in the Rio Puerco. Analysis of streamflow shows that a large percentage of runoff originating in the upper watershed is entirely infiltrated into the streambed and floodplains between upstream and downstream reaches. With suspended-sediment concentrations reaching 500,000 mg/L, the loss of streamflow results in sediment deposition.
Peak streamflows are decreasing in the Rio Puerco near its mouth at Bernardo, New Mexico. Hydrographs were modeled using a 71-yr-old monumented channel cross section in the lower reaches (Highway 6) surveyed in 1936 and resurveyed in 2007. Model outputs show that attenuation of peak flow can occur from progressive changes in channel morphology and vegetation. Decreasing peak flows, transmission losses, and development of an inner floodplain within the widened arroyo all interact to increase sediment deposition over time. Consequently, increased sediment deposition has resulted in decreased sediment loads and sediment concentrations in downstream reaches. Resurveys of channels in downstream reaches confirm that the channel bed is aggrading. At the oldest surveyed cross section (Highway 6 surveyed in 1936 and resurveyed in 2007), the channel bed has aggraded 6 m, and at its long-term rate of filling, deposition of sediment could fill the entire arroyo cross section in 150 yr.
The Rio Puerco has incised and aggraded several times in the late Quaternary. Results of this study show that the twentieth-century aggradation of the Rio Puerco is driven by intrinsic processes that involve a positive feedback relation among channel morphology, vegetation, climate, streamflow, infiltration, and sediment loads.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/B31622.1","usgsCitation":"Gellis, A.C., Elliott, J., and Pavich, M., 2017, Geomorphic processes responsible for decadal-scale arroyo changes, Rio Puerco, New Mexico: Geological Society of America Bulletin, v. 129, no. 11-12, p. 1660-1680, https://doi.org/10.1130/B31622.1.","productDescription":"21 p.","startPage":"1660","endPage":"1680","ipdsId":"IP-080179","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":408025,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Rio Puerco Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.9134521484375,\n 36.04465753921525\n ],\n [\n -108.050537109375,\n 36.03577394783581\n ],\n [\n -108.6602783203125,\n 35.652832827451654\n ],\n [\n -108.7371826171875,\n 34.800272350556824\n ],\n [\n -107.99011230468749,\n 34.288991865037524\n ],\n [\n -107.215576171875,\n 34.44315867450577\n ],\n [\n -106.776123046875,\n 34.384246040152185\n ],\n [\n -106.644287109375,\n 34.813803317113155\n ],\n [\n -106.644287109375,\n 35.0120020431607\n ],\n [\n -106.820068359375,\n 35.68853320738875\n ],\n [\n -106.9134521484375,\n 36.04465753921525\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"129","issue":"11-12","noUsgsAuthors":false,"publicationDate":"2017-07-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":197684,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen","email":"agellis@usgs.gov","middleInitial":"C.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":853989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elliott, John G.","contributorId":297384,"corporation":false,"usgs":false,"family":"Elliott","given":"John G.","affiliations":[],"preferred":false,"id":853990,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pavich, Milan","contributorId":297385,"corporation":false,"usgs":false,"family":"Pavich","given":"Milan","affiliations":[{"id":12608,"text":"USGS, retired","active":true,"usgs":false}],"preferred":false,"id":853991,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70224921,"text":"70224921 - 2017 - Understanding and finding solutions to the problem of sedimentation in the National Wildlife Refuge System","interactions":[],"lastModifiedDate":"2021-10-05T12:35:27.928126","indexId":"70224921","displayToPublicDate":"2017-07-01T07:31:20","publicationYear":"2017","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":"Understanding and finding solutions to the problem of sedimentation in the National Wildlife Refuge System","docAbstract":"The National Wildlife Refuge System (Refuge System) is a collection of public lands maintained by the U.S. Fish and Wildlife Service for migratory birds and other wildlife. Wetlands on individual National Wildlife Refuges (Refuges) may be at risk of increased sedimentation because of land use and water management practices. Increased sedimentation can reduce wetland habitat quality by altering hydrologic function, degrading water quality, and inhibiting growth of vegetation and invertebrates. On Refuges negatively affected by increased sedimentation, managers have to address complex questions about how to best remediate and mitigate the negative effects. The best way to account for these complexities is often not clear. On other Refuges, managers may not know whether sedimentation is a problem. Decision makers in the Refuge System may need to allocate resources to studying which Refuges could be at risk. Such analyses would help them understand where to direct support for managing increased sedimentation. In this paper, we summarize a case study demonstrating the use of decision-analytic tools in the development of a sedimentation management plan for Agassiz National Wildlife Refuge, Minnesota. Using what we learned from that process, we surveyed other Refuges in U.S. Fish and Wildlife Service Region 3 (an area encompassing the states of Illinois, Indiana, Iowa, Ohio, Michigan, Minnesota, Missouri, and Wisconsin) and Region 6 (an area encompassing the states of Colorado, Kansas, Montana, Nebraska, North Dakota, South Dakota, Utah, and Wyoming) about whether they experience sediment-related impacts to management. Our results show that cases of management being negatively affected by increased sedimentation are not isolated. We suggest that the Refuge System conduct a comprehensive and systematic assessment of increased sedimentation among Refuges to understand the importance of sedimentation in context with other management problems that Refuges face. The results of such an assessment could guide how the Refuge System allocates resources to studying and managing widespread stressors.
Biological soil crusts (hereafter, “biocrusts”) dominate soil surfaces in nearly all dryland environments. To better understand the influence of water content on carbon (C) exchange, we assessed the ability of dual-probe heat-pulse (DPHP) sensors, installed vertically and angled, to measure changes in near-surface water content. Four DPHP sensors were installed in each of two research plots (eight sensors total) that differed by temperature treatment (control and heated). Responses were compared to horizontally installed water content measurements made with three frequency-domain reflectometry (FDR) sensors in each plot at 5-cm depth. The study was conducted near Moab, Utah, from April through September 2009. Results showed significant differences between sensor technologies: peak water content differences from the DPHP sensors were approximately three times higher than those from the FDR sensors; some of the differences can be explained by the targeted monitoring of biocrust material in the shorter DPHP sensor and by potential signal loss from horizontally installed FDR sensors, or by an oversampling of deeper soil. C-exchange estimates using the DPHP sensors showed a net C loss of 69 and 76 g C m−2 in control and heated plots, respectively. The study illustrates the potential for using the more sensitive data from shallow installations for estimating C exchange in biocrusts.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jaridenv.2017.03.004","usgsCitation":"Young, M.H., Fenstermaker, L.F., and Belnap, J., 2017, Monitoring water content dynamics of biological soil crusts: Journal of Arid Environments, v. 142, p. 41-49, https://doi.org/10.1016/j.jaridenv.2017.03.004.","productDescription":"9 p.","startPage":"41","endPage":"49","ipdsId":"IP-079049","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":469728,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1413765","text":"Publisher Index Page"},{"id":352934,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"142","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee854e4b0da30c1bfc428","contributors":{"authors":[{"text":"Young, Michael H.","contributorId":203634,"corporation":false,"usgs":false,"family":"Young","given":"Michael","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":703101,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fenstermaker, Lynn F.","contributorId":194059,"corporation":false,"usgs":false,"family":"Fenstermaker","given":"Lynn","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":703102,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":703100,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70189472,"text":"70189472 - 2017 - PeRL: A circum-Arctic Permafrost Region Pond and Lake database","interactions":[],"lastModifiedDate":"2018-06-16T18:26:58","indexId":"70189472","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1426,"text":"Earth System Science Data","active":true,"publicationSubtype":{"id":10}},"title":"PeRL: A circum-Arctic Permafrost Region Pond and Lake database","docAbstract":"Ponds and lakes are abundant in Arctic permafrost lowlands. They play an important role in Arctic wetland ecosystems by regulating carbon, water, and energy fluxes and providing freshwater habitats. However, ponds, i.e., waterbodies with surface areas smaller than 1. 0 × 104 m2, have not been inventoried on global and regional scales. The Permafrost Region Pond and Lake (PeRL) database presents the results of a circum-Arctic effort to map ponds and lakes from modern (2002–2013) high-resolution aerial and satellite imagery with a resolution of 5 m or better. The database also includes historical imagery from 1948 to 1965 with a resolution of 6 m or better. PeRL includes 69 maps covering a wide range of environmental conditions from tundra to boreal regions and from continuous to discontinuous permafrost zones. Waterbody maps are linked to regional permafrost landscape maps which provide information on permafrost extent, ground ice volume, geology, and lithology. This paper describes waterbody classification and accuracy, and presents statistics of waterbody distribution for each site. Maps of permafrost landscapes in Alaska, Canada, and Russia are used to extrapolate waterbody statistics from the site level to regional landscape units. PeRL presents pond and lake estimates for a total area of 1. 4 × 106 km2 across the Arctic, about 17 % of the Arctic lowland ( < 300 m a.s.l.) land surface area. PeRL waterbodies with sizes of 1. 0 × 106 m2 down to 1. 0 × 102 m2 contributed up to 21 % to the total water fraction. Waterbody density ranged from 1. 0 × 10 to 9. 4 × 101 km−2. Ponds are the dominant waterbody type by number in all landscapes representing 45–99 % of the total waterbody number. The implementation of PeRL size distributions in land surface models will greatly improve the investigation and projection of surface inundation and carbon fluxes in permafrost lowlands. Waterbody maps, study area boundaries, and maps of regional permafrost landscapes including detailed metadata are available at https://doi.pangaea.de/10.1594/PANGAEA.868349.
","language":"English","publisher":"Copernicus Publications","doi":"10.5194/essd-9-317-2017","usgsCitation":"Muster, S., Roth, K., Langer, M., Lange, S., Cresto Aleina, F., Bartsch, A., Morgenstern, A., Grosse, G., Jones, B.M., Sannel, A.B., Sjoberg, Y., Gunther, F., Andresen, C., Veremeeva, A., Lindgren, P.R., Bouchard, F., Lara, M.J., Fortier, D., Charbonneau, S., Virtanen, T.A., Hugelius, G., Palmtag, J., Siewert, M.B., Riley, W.J., Koven, C., and Boike, J., 2017, PeRL: A circum-Arctic Permafrost Region Pond and Lake database: Earth System Science Data, v. 9, p. 317-348, https://doi.org/10.5194/essd-9-317-2017.","productDescription":"32 p.","startPage":"317","endPage":"348","ipdsId":"IP-081012","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":469775,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/essd-9-317-2017","text":"Publisher Index Page"},{"id":343807,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","noUsgsAuthors":false,"publicationDate":"2017-06-06","publicationStatus":"PW","scienceBaseUri":"5968869de4b0d1f9f05f5965","contributors":{"authors":[{"text":"Muster, Sina","contributorId":194628,"corporation":false,"usgs":false,"family":"Muster","given":"Sina","email":"","affiliations":[],"preferred":false,"id":704818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roth, Kurt","contributorId":194629,"corporation":false,"usgs":false,"family":"Roth","given":"Kurt","email":"","affiliations":[],"preferred":false,"id":704819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Langer, Moritz","contributorId":194630,"corporation":false,"usgs":false,"family":"Langer","given":"Moritz","email":"","affiliations":[],"preferred":false,"id":704820,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lange, Stephan","contributorId":194631,"corporation":false,"usgs":false,"family":"Lange","given":"Stephan","email":"","affiliations":[],"preferred":false,"id":704821,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cresto Aleina, Fabio","contributorId":194632,"corporation":false,"usgs":false,"family":"Cresto Aleina","given":"Fabio","email":"","affiliations":[],"preferred":false,"id":704822,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bartsch, Annett","contributorId":194633,"corporation":false,"usgs":false,"family":"Bartsch","given":"Annett","email":"","affiliations":[],"preferred":false,"id":704823,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Morgenstern, Anne","contributorId":194634,"corporation":false,"usgs":false,"family":"Morgenstern","given":"Anne","email":"","affiliations":[],"preferred":false,"id":704824,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Grosse, Guido","contributorId":101475,"corporation":false,"usgs":true,"family":"Grosse","given":"Guido","affiliations":[{"id":34291,"text":"University of Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":704825,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":704826,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sannel, A. 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2017 - Microbial survival strategies in ancient permafrost: insights from metagenomics","interactions":[],"lastModifiedDate":"2018-02-07T17:39:35","indexId":"70195152","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3563,"text":"The ISME Journal","active":true,"publicationSubtype":{"id":10}},"title":"Microbial survival strategies in ancient permafrost: insights from metagenomics","docAbstract":"In permafrost (perennially frozen ground) microbes survive oligotrophic conditions, sub-zero temperatures, low water availability and high salinity over millennia. Viable life exists in permafrost tens of thousands of years old but we know little about the metabolic and physiological adaptations to the challenges presented by life in frozen ground over geologic time. In this study we asked whether increasing age and the associated stressors drive adaptive changes in community composition and function. We conducted deep metagenomic and 16 S rRNA gene sequencing across a Pleistocene permafrost chronosequence from 19 000 to 33 000 years before present (kyr). We found that age markedly affected community composition and reduced diversity. Reconstruction of paleovegetation from metagenomic sequence suggests vegetation differences in the paleo record are not responsible for shifts in community composition and function. Rather, we observed shifts consistent with long-term survival strategies in extreme cryogenic environments. These include increased reliance on scavenging detrital biomass, horizontal gene transfer, chemotaxis, dormancy, environmental sensing and stress response. Our results identify traits that may enable survival in ancient cryoenvironments with no influx of energy or new materials.
","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/ismej.2017.93","usgsCitation":"Mackelprang, R., Burkert, A., Haw, M., Mahendrarajah, T., Conaway, C.H., Douglas, T.A., and Waldrop, M.P., 2017, Microbial survival strategies in ancient permafrost: insights from metagenomics: The ISME Journal, v. 11, p. 2305-2318, https://doi.org/10.1038/ismej.2017.93.","productDescription":"14 p.","startPage":"2305","endPage":"2318","ipdsId":"IP-079077","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":469704,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/ismej.2017.93","text":"Publisher Index Page"},{"id":351313,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-11","publicationStatus":"PW","scienceBaseUri":"5a7c1e7be4b00f54eb229349","contributors":{"authors":[{"text":"Mackelprang, Rachel","contributorId":200882,"corporation":false,"usgs":false,"family":"Mackelprang","given":"Rachel","email":"","affiliations":[{"id":7080,"text":"California State University, Northridge","active":true,"usgs":false}],"preferred":false,"id":727775,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burkert, Alexander","contributorId":201933,"corporation":false,"usgs":false,"family":"Burkert","given":"Alexander","email":"","affiliations":[{"id":36305,"text":"CSU Northridge","active":true,"usgs":false}],"preferred":false,"id":727776,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haw, Monica 0000-0001-5847-6448","orcid":"https://orcid.org/0000-0001-5847-6448","contributorId":201931,"corporation":false,"usgs":true,"family":"Haw","given":"Monica","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":727777,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mahendrarajah, Tara","contributorId":201934,"corporation":false,"usgs":false,"family":"Mahendrarajah","given":"Tara","email":"","affiliations":[{"id":36305,"text":"CSU Northridge","active":true,"usgs":false}],"preferred":false,"id":727778,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conaway, Christopher H. 0000-0002-0991-033X cconaway@usgs.gov","orcid":"https://orcid.org/0000-0002-0991-033X","contributorId":5074,"corporation":false,"usgs":true,"family":"Conaway","given":"Christopher","email":"cconaway@usgs.gov","middleInitial":"H.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":727779,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Douglas, Thomas A. 0000-0003-1314-1905","orcid":"https://orcid.org/0000-0003-1314-1905","contributorId":64553,"corporation":false,"usgs":false,"family":"Douglas","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":33087,"text":"Cold Regions Research and Engineering Laboratory","active":true,"usgs":false}],"preferred":true,"id":727780,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Waldrop, Mark P. 0000-0003-1829-7140 mwaldrop@usgs.gov","orcid":"https://orcid.org/0000-0003-1829-7140","contributorId":1599,"corporation":false,"usgs":true,"family":"Waldrop","given":"Mark","email":"mwaldrop@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":727781,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70192055,"text":"70192055 - 2017 - Comparison of American Fisheries Society (AFS) standard fish sampling techniques and environmental DNA for characterizing fish communities in a large reservoir","interactions":[],"lastModifiedDate":"2017-10-19T16:23:08","indexId":"70192055","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","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":"Comparison of American Fisheries Society (AFS) standard fish sampling techniques and environmental DNA for characterizing fish communities in a large reservoir","docAbstract":"Recently, methods involving examination of environmental DNA (eDNA) have shown promise for characterizing fish species presence and distribution in waterbodies. We evaluated the use of eDNA for standard fish monitoring surveys in a large reservoir. Specifically, we compared the presence, relative abundance, biomass, and relative percent composition of Largemouth Bass Micropterus salmoides and Gizzard Shad Dorosoma cepedianum measured through eDNA methods and established American Fisheries Society standard sampling methods for Theodore Roosevelt Lake, Arizona. Catches at electrofishing and gillnetting sites were compared with eDNA water samples at sites, within spatial strata, and over the entire reservoir. Gizzard Shad were detected at a higher percentage of sites with eDNA methods than with boat electrofishing in both spring and fall. In contrast, spring and fall gillnetting detected Gizzard Shad at more sites than eDNA. Boat electrofishing and gillnetting detected Largemouth Bass at more sites than eDNA; the exception was fall gillnetting, for which the number of sites of Largemouth Bass detection was equal to that for eDNA. We observed no relationship between relative abundance and biomass of Largemouth Bass and Gizzard Shad measured by established methods and eDNA copies at individual sites or lake sections. Reservoirwide catch composition for Largemouth Bass and Gizzard Shad (numbers and total weight [g] of fish) as determined through a combination of gear types (boat electrofishing plus gillnetting) was similar to the proportion of total eDNA copies from each species in spring and fall field sampling. However, no similarity existed between proportions of fish caught via spring and fall boat electrofishing and the proportion of total eDNA copies from each species. Our study suggests that eDNA field sampling protocols, filtration, DNA extraction, primer design, and DNA sequencing methods need further refinement and testing before incorporation into standard fish sampling surveys.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2017.1342721","usgsCitation":"Perez, C.R., Bonar, S.A., Amberg, J., Ladell, B., Rees, C.B., Stewart, W.T., Gill, C.J., Cantrell, C., and Robinson, A., 2017, Comparison of American Fisheries Society (AFS) standard fish sampling techniques and environmental DNA for characterizing fish communities in a large reservoir: North American Journal of Fisheries Management, v. 37, no. 5, p. 1010-1027, https://doi.org/10.1080/02755947.2017.1342721.","productDescription":"18 p.","startPage":"1010","endPage":"1027","ipdsId":"IP-084602","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":347012,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Theodore Roosevelt Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.25785827636717,\n 33.63348744004515\n ],\n [\n -110.95745086669922,\n 33.63348744004515\n ],\n [\n -110.95745086669922,\n 33.77343983379775\n ],\n [\n -111.25785827636717,\n 33.77343983379775\n ],\n [\n -111.25785827636717,\n 33.63348744004515\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-05","publicationStatus":"PW","scienceBaseUri":"59e9b994e4b05fe04cd65c83","contributors":{"authors":[{"text":"Perez, Christina R.","contributorId":197750,"corporation":false,"usgs":false,"family":"Perez","given":"Christina","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":714211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714029,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amberg, Jon J. jamberg@usgs.gov","contributorId":797,"corporation":false,"usgs":true,"family":"Amberg","given":"Jon J.","email":"jamberg@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":714212,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ladell, Bridget","contributorId":197751,"corporation":false,"usgs":false,"family":"Ladell","given":"Bridget","affiliations":[],"preferred":false,"id":714213,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rees, Christopher B. crees@usgs.gov","contributorId":5500,"corporation":false,"usgs":true,"family":"Rees","given":"Christopher","email":"crees@usgs.gov","middleInitial":"B.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":714214,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stewart, William T.","contributorId":197752,"corporation":false,"usgs":false,"family":"Stewart","given":"William","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":714215,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gill, Curtis J.","contributorId":197753,"corporation":false,"usgs":false,"family":"Gill","given":"Curtis","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714216,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cantrell, Chris","contributorId":196762,"corporation":false,"usgs":false,"family":"Cantrell","given":"Chris","email":"","affiliations":[],"preferred":false,"id":714217,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Robinson, Anthony","contributorId":57480,"corporation":false,"usgs":true,"family":"Robinson","given":"Anthony","email":"","affiliations":[],"preferred":false,"id":714218,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70192868,"text":"70192868 - 2017 - Estimating the number of recreational anglers for a given waterbody","interactions":[],"lastModifiedDate":"2017-11-08T11:00:44","indexId":"70192868","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Estimating the number of recreational anglers for a given waterbody","docAbstract":"Knowing how many anglers use a given body of water is paramount for understanding components of a fishery related to angling pressure and harvest, yet no study has attempted to provide an estimate of the population size of anglers for a given waterbody. Here, we use information from creel surveys in a removal-sampling framework to estimate total numbers of anglers using six reservoirs in Nebraska, USA, and we examine the influence of the duration of sampling period on those estimates. Population estimates (N ± SE) of unique anglers were 2050 ± 45 for Branched Oak Lake, 1992 ± 29 for Calamus Reservoir, 929 ± 10 for Harlan County Reservoir, 985 ± 24 for Lake McConaughy, 1277 ± 24 for Merritt Reservoir, and 916 ± 18 for Pawnee Lake during April–October 2015. Shortening the sampling period by one or more months generally resulted in a greater effect on estimates of precision than on estimates of overall abundance. No relationship existed between abundances of unique anglers and angling pressures across reservoirs and sampling duration, indicative of a decoupling of angler abundance and angling pressure. The approach outlined herein has potential to provide defendable answers to “how many are there?”, questions we ask when subjects cannot be marked, which should provide new insights about angler populations and subpopulations.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2017.03.004","usgsCitation":"Pope, K.L., Powell, L.A., Harmon, B.S., Pegg, M.A., and Chizinski, C.J., 2017, Estimating the number of recreational anglers for a given waterbody: Fisheries Research, v. 191, p. 69-75, https://doi.org/10.1016/j.fishres.2017.03.004.","productDescription":"7 p.","startPage":"69","endPage":"75","ipdsId":"IP-081323","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348422,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","volume":"191","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425b6e4b0dc0b45b45341","contributors":{"authors":[{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powell, Larkin A.","contributorId":198829,"corporation":false,"usgs":false,"family":"Powell","given":"Larkin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":717247,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harmon, Brian S.","contributorId":172278,"corporation":false,"usgs":false,"family":"Harmon","given":"Brian","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":717248,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pegg, Mark A.","contributorId":198830,"corporation":false,"usgs":false,"family":"Pegg","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":717249,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chizinski, Christopher J.","contributorId":7178,"corporation":false,"usgs":false,"family":"Chizinski","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":717250,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70194501,"text":"70194501 - 2017 - Heat as a groundwater tracer in shallow and deep heterogeneous media: Analytical solution, spreadsheet tool, and field applications","interactions":[],"lastModifiedDate":"2018-03-29T15:54:42","indexId":"70194501","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Heat as a groundwater tracer in shallow and deep heterogeneous media: Analytical solution, spreadsheet tool, and field applications","docAbstract":"Groundwater flow advects heat, and thus, the deviation of subsurface temperatures from an expected conduction‐dominated regime can be analysed to estimate vertical water fluxes. A number of analytical approaches have been proposed for using heat as a groundwater tracer, and these have typically assumed a homogeneous medium. However, heterogeneous thermal properties are ubiquitous in subsurface environments, both at the scale of geologic strata and at finer scales in streambeds. Herein, we apply the analytical solution of Shan and Bodvarsson (2004), developed for estimating vertical water fluxes in layered systems, in 2 new environments distinct from previous vadose zone applications. The utility of the solution for studying groundwater‐surface water exchange is demonstrated using temperature data collected from an upwelling streambed with sediment layers, and a simple sensitivity analysis using these data indicates the solution is relatively robust. Also, a deeper temperature profile recorded in a borehole in South Australia is analysed to estimate deeper water fluxes. The analytical solution is able to match observed thermal gradients, including the change in slope at sediment interfaces. Results indicate that not accounting for layering can yield errors in the magnitude and even direction of the inferred Darcy fluxes. A simple automated spreadsheet tool (Flux‐LM) is presented to allow users to input temperature and layer data and solve the inverse problem to estimate groundwater flux rates from shallow (e.g., <1 m) or deep (e.g., up to 100 m) profiles. The solution is not transient, and thus, it should be cautiously applied where diel signals propagate or in deeper zones where multi‐decadal surface signals have disturbed subsurface thermal regimes.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.11216","usgsCitation":"Kurylyk, B.L., Irvine, D.J., Carey, S.K., Briggs, M.A., Werkema, D.D., and Bonham, M., 2017, Heat as a groundwater tracer in shallow and deep heterogeneous media: Analytical solution, spreadsheet tool, and field applications: Hydrological Processes, v. 31, no. 14, p. 2648-2661, https://doi.org/10.1002/hyp.11216.","productDescription":"14 p.","startPage":"2648","endPage":"2661","ipdsId":"IP-083382","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"links":[{"id":469721,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6260938","text":"External Repository"},{"id":438279,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7NZ85VG","text":"USGS data release","linkHelpText":"Streambed temperature data for the manuscript: Heat as a hydrologic tracer in shallow and deep heterogeneous media: analytical solution, spreadsheet tool, and field applications"},{"id":352969,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"14","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee845e4b0da30c1bfc417","contributors":{"authors":[{"text":"Kurylyk, Barret L.","contributorId":176296,"corporation":false,"usgs":false,"family":"Kurylyk","given":"Barret","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":724119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irvine, Dylan J.","contributorId":190404,"corporation":false,"usgs":false,"family":"Irvine","given":"Dylan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":724120,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carey, Sean K.","contributorId":201022,"corporation":false,"usgs":false,"family":"Carey","given":"Sean","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":724121,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":724118,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Werkema, Dale D.","contributorId":40488,"corporation":false,"usgs":false,"family":"Werkema","given":"Dale","email":"","middleInitial":"D.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":724122,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bonham, Mariah","contributorId":199839,"corporation":false,"usgs":false,"family":"Bonham","given":"Mariah","email":"","affiliations":[],"preferred":false,"id":724123,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70189190,"text":"70189190 - 2017 - Microbial-sized, carboxylate-modified microspheres as surrogate tracers in a variety of subsurface environments: An overview","interactions":[],"lastModifiedDate":"2017-07-06T15:56:13","indexId":"70189190","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3828,"text":"Procedia Earth and Planetary Science","active":true,"publicationSubtype":{"id":10}},"title":"Microbial-sized, carboxylate-modified microspheres as surrogate tracers in a variety of subsurface environments: An overview","docAbstract":"Since 1986, fluorescent carboxylate-modified polystyrene/latex microspheres (FCM) have been co-injected into aquifers along with conservative tracers and viruses, bacteria, and (or) protozoa. Use of FCM has resulted in new information about subsurface transport behaviors of microorganisms in fractured crystalline rock, karst limestone, soils, and granular aquifers. FCM have been used as surrogates for oocysts of the pathogenic protist Cryptosporidium parvum in karst limestone and granular drinking-water aquifers. The advantages of FCM in subsurface transport studies are that they are safe in tracer applications, negatively charged, easy to detect, chemically inert, and available in wide range of sizes. The limitations of FCM are that the quantities needed for some field transport studies can be prohibitively expensive and that their surface characteristics may not match the microorganisms of interest. These limitations may be ameliorated, in part by using chemically modified FCM so that their surface characteristics are a better match to that of the organisms. Also, more sensitive methods of detection may allow using smaller quantities of FCM. To assess how the transport behaviors of FCM and pathogens might compare at the field scale, it is helpful to conduct side-by-side comparisons of their transport behaviors using the geologic media and site-specific conditions that characterize the field site.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.proeps.2016.12.094","usgsCitation":"Harvey, R.W., Metge, D.W., and LeBlanc, D.R., 2017, Microbial-sized, carboxylate-modified microspheres as surrogate tracers in a variety of subsurface environments: An overview: Procedia Earth and Planetary Science, v. 17, p. 372-375, https://doi.org/10.1016/j.proeps.2016.12.094.","productDescription":"4 p.","startPage":"372","endPage":"375","ipdsId":"IP-074893","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":469722,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.proeps.2016.12.094","text":"Publisher Index Page"},{"id":343454,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595f4c3ae4b0d1f9f057e326","contributors":{"authors":[{"text":"Harvey, Ronald W. 0000-0002-2791-8503 rwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2791-8503","contributorId":564,"corporation":false,"usgs":true,"family":"Harvey","given":"Ronald","email":"rwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703422,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Metge, David W. dwmetge@usgs.gov","contributorId":663,"corporation":false,"usgs":true,"family":"Metge","given":"David","email":"dwmetge@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":703423,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LeBlanc, Denis R. 0000-0002-4646-2628 dleblanc@usgs.gov","orcid":"https://orcid.org/0000-0002-4646-2628","contributorId":1696,"corporation":false,"usgs":true,"family":"LeBlanc","given":"Denis","email":"dleblanc@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":703424,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192631,"text":"70192631 - 2017 - Fine particle retention within stream storage areas at base flow and in response to a storm event","interactions":[],"lastModifiedDate":"2017-11-06T12:31:21","indexId":"70192631","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Fine particle retention within stream storage areas at base flow and in response to a storm event","docAbstract":"Fine particles (1–100 µm), including particulate organic carbon (POC) and fine sediment, influence stream ecological functioning because they may contain or have a high affinity to sorb nitrogen and phosphorus. These particles are immobilized within stream storage areas, especially hyporheic sediments and benthic biofilms. However, fine particles are also known to remobilize under all flow conditions. This combination of downstream transport and transient retention, influenced by stream geomorphology, controls the distribution of residence times over which fine particles influence stream ecosystems. The main objective of this study was to quantify immobilization and remobilization rates of fine particles in a third-order sand-and-gravel bed stream (Difficult Run, Virginia, USA) within different geomorphic units of the stream (i.e., pool, lateral cavity, and thalweg). During our field injection experiment, a thunderstorm-driven spate allowed us to observe fine particle dynamics during both base flow and in response to increased flow. Solute and fine particles were measured within stream surface waters, pore waters, sediment cores, and biofilms on cobbles. Measurements were taken at four different subsurface locations with varying geomorphology and at multiple depths. Approximately 68% of injected fine particles were retained during base flow until the onset of the spate. Retention was evident even after the spate, with 15.4% of the fine particles deposited during base flow still retained within benthic biofilms on cobbles and 14.9% within hyporheic sediment after the spate. Thus, through the combination of short-term remobilization and long-term retention, fine particles can serve as sources of carbon and nutrients to downstream ecosystems over a range of time scales.
","language":"English","publisher":"AGU Publications","doi":"10.1002/2016WR020202","usgsCitation":"Drummond, J.D., Larsen, L.G., González-Pinzón, R., Packman, A.I., and Harvey, J., 2017, Fine particle retention within stream storage areas at base flow and in response to a storm event: Water Resources Research, v. 53, no. 7, p. 5690-5705, https://doi.org/10.1002/2016WR020202.","productDescription":"16 p.","startPage":"5690","endPage":"5705","ipdsId":"IP-085237","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":469725,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016wr020202","text":"Publisher Index Page"},{"id":348266,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Difficult Run","volume":"53","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-16","publicationStatus":"PW","scienceBaseUri":"5a07e8b9e4b09af898c8cba9","contributors":{"authors":[{"text":"Drummond, J. D.","contributorId":198633,"corporation":false,"usgs":false,"family":"Drummond","given":"J.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":716597,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larsen, L. G.","contributorId":198634,"corporation":false,"usgs":false,"family":"Larsen","given":"L.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":716598,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"González-Pinzón, R.","contributorId":198635,"corporation":false,"usgs":false,"family":"González-Pinzón","given":"R.","affiliations":[],"preferred":false,"id":716599,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Packman, A. I.","contributorId":198636,"corporation":false,"usgs":false,"family":"Packman","given":"A.","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":716600,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harvey, Judson 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":140228,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":716596,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70193053,"text":"70193053 - 2017 - Estimating ages of Utah chubs by use of pectoral fin rays, otoliths, and scales","interactions":[],"lastModifiedDate":"2017-11-06T16:18:34","indexId":"70193053","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Estimating ages of Utah chubs by use of pectoral fin rays, otoliths, and scales","docAbstract":"Utah chub Gila atraria is native to the Upper Snake River system in Wyoming and Idaho and to the Lake Bonneville Basin in Utah and southeastern Idaho. However, the Utah chub has been introduced into many other waterbodies in the western United States, where it competes with ecologically and economically important species. The objectives of this study were to evaluate between-reader precision and reader confidence in age estimates obtained from pectoral fin rays, lapilli (otoliths), asterisci (otoliths), and scales for Utah chubs collected from Henrys Lake, Idaho. Lapilli have been previously shown to provide accurate age estimates for Utah chubs; therefore, we sought to compare age estimates from fin rays, asterisci, and scales to those from lapilli. The between-reader coefficient of variation (CV) in age estimates was lowest and the percent of exact reader agreement (PA-0) was highest for pectoral fin rays (CV = 4.7, PA-0 = 74%), followed by scales (CV = 10.3, PA-0 = 52.3%), lapilli (CV = 11.6, PA-0 = 48.2%), and asterisci (CV = 13.0, PA-0 = 41.7%). Consensus age estimates from pectoral fin rays showed high concordance with consensus age estimates from lapilli. Our results indicate that pectoral fin rays provide the most precise age estimates for Utah chub. Pectoral fin rays are easily collected and processed and also provide age estimates without requiring fish sacrifice.
","language":"English","publisher":"Monte L. Bean Life Science Museum, Brigham Young University","doi":"10.3398/064.077.0206","usgsCitation":"Griffin, K.M., Beard, Z.S., Flinders, J.M., and Quist, M.C., 2017, Estimating ages of Utah chubs by use of pectoral fin rays, otoliths, and scales: Western North American Naturalist, v. 77, no. 2, p. 189-194, https://doi.org/10.3398/064.077.0206.","productDescription":"6 p.","startPage":"189","endPage":"194","ipdsId":"IP-079398","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":488725,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol77/iss2/5","text":"External Repository"},{"id":348307,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"77","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e8b8e4b09af898c8cb9d","contributors":{"authors":[{"text":"Griffin, Kayla M","contributorId":200039,"corporation":false,"usgs":false,"family":"Griffin","given":"Kayla","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":720771,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beard, Zachary S.","contributorId":198840,"corporation":false,"usgs":false,"family":"Beard","given":"Zachary","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":720772,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flinders, John M.","contributorId":200040,"corporation":false,"usgs":false,"family":"Flinders","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":720773,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Quist, Michael C. 0000-0001-8268-1839 mquist@usgs.gov","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":171392,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":717760,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196812,"text":"70196812 - 2017 - Landform features and seasonal precipitation predict shallow groundwater influence on temperature in headwater streams","interactions":[],"lastModifiedDate":"2018-05-02T11:40:36","indexId":"70196812","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Landform features and seasonal precipitation predict shallow groundwater influence on temperature in headwater streams","docAbstract":"Headwater stream responses to climate change will depend in part on groundwater‐surface water exchanges. We used linear modeling techniques to partition likely effects of shallow groundwater seepage and air temperature on stream temperatures for 79 sites in nine focal watersheds using hourly air and water temperature measurements collected during summer months from 2012 to 2015 in Shenandoah National Park, Virginia, USA. Shallow groundwater effects exhibited more variation within watersheds than between them, indicating the importance of reach‐scale assessments and the limited capacity to extrapolate upstream groundwater influences from downstream measurements. Boosted regression tree (BRT) models revealed intricate interactions among geomorphological landform features (stream slope, elevation, network length, contributing area, and channel confinement) and seasonal precipitation patterns (winter, spring, and summer months) that together were robust predictors of spatial and temporal variation in groundwater influence on stream temperatures. The final BRT model performed well for training data and cross‐validated samples (correlation = 0.984 and 0.760, respectively). Geomorphological and precipitation predictors of groundwater influence varied in their importance between watersheds, suggesting differences in spatial and temporal controls of recharge dynamics and the depth of the groundwater source. We demonstrate an application of the final BRT model to predict groundwater effects from landform and precipitation covariates at 1075 new sites distributed at 100 m increments within focal watersheds. Our study provides a framework to estimate effects of groundwater seepage on stream temperature in unsampled locations. We discuss applications for climate change research to account for groundwater‐surface water interactions when projecting future thermal thresholds for stream biota.
","language":"English","publisher":"AGU","doi":"10.1002/2017WR020455","usgsCitation":"Johnson, Z.C., Snyder, C.D., and Hitt, N.P., 2017, Landform features and seasonal precipitation predict shallow groundwater influence on temperature in headwater streams: Water Resources Research, v. 53, no. 7, p. 5788-5812, https://doi.org/10.1002/2017WR020455.","productDescription":"25 p.","startPage":"5788","endPage":"5812","ipdsId":"IP-086899","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":469716,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017wr020455","text":"Publisher Index Page"},{"id":438280,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7B56H72","text":"USGS data release","linkHelpText":"Air-water temperature data for the study of groundwater influence on stream thermal regimes in Shenandoah National Park, Virginia (ver. 2.0, May 3, 2018)"},{"id":353918,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Shenandoah National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.85986328125,\n 38.09133660751176\n ],\n [\n -78.10455322265625,\n 38.09133660751176\n ],\n [\n -78.10455322265625,\n 38.90172091499795\n ],\n [\n -78.85986328125,\n 38.90172091499795\n ],\n [\n -78.85986328125,\n 38.09133660751176\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"53","issue":"7","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-20","publicationStatus":"PW","scienceBaseUri":"5afee845e4b0da30c1bfc40b","contributors":{"authors":[{"text":"Johnson, Zachary C. 0000-0002-0149-5223","orcid":"https://orcid.org/0000-0002-0149-5223","contributorId":204647,"corporation":false,"usgs":false,"family":"Johnson","given":"Zachary","email":"","middleInitial":"C.","affiliations":[{"id":35215,"text":"Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":734560,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Snyder, Craig D. 0000-0002-3448-597X csnyder@usgs.gov","orcid":"https://orcid.org/0000-0002-3448-597X","contributorId":2568,"corporation":false,"usgs":true,"family":"Snyder","given":"Craig","email":"csnyder@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":734559,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hitt, Nathaniel P. 0000-0002-1046-4568 nhitt@usgs.gov","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":4435,"corporation":false,"usgs":true,"family":"Hitt","given":"Nathaniel","email":"nhitt@usgs.gov","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":734561,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70191328,"text":"70191328 - 2017 - Life history migrations of adult Yellowstone Cutthroat Trout in the upper Yellowstone River","interactions":[],"lastModifiedDate":"2017-10-05T14:13:29","indexId":"70191328","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","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":"Life history migrations of adult Yellowstone Cutthroat Trout in the upper Yellowstone River","docAbstract":"Knowledge of salmonid life history types at the watershed scale is increasingly recognized as a cornerstone for effective management. In this study, we used radiotelemetry to characterize the life history movements of Yellowstone Cutthroat Trout Oncorhynchus clarkii bouvieri in the upper Yellowstone River, an extensive tributary that composes nearly half of the drainage area of Yellowstone Lake. In Yellowstone Lake, Yellowstone Cutthroat Trout have precipitously declined over the past 2 decades primarily due to predation from introduced Lake Trout Salvelinus namaycush. Radio tags were implanted in 152 Yellowstone Cutthroat Trout, and their movements monitored over 3 years. Ninety-six percent of tagged trout exhibited a lacustrine–adfluvial life history, migrating upstream a mean distance of 42.6 km to spawn, spending an average of 24 d in the Yellowstone River before returning to Yellowstone Lake. Once in the lake, complex postspawning movements were observed. Only 4% of radio-tagged trout exhibited a fluvial or fluvial–adfluvial life history. Low prevalence of fluvial and fluvial–adfluvial life histories was unexpected given the large size of the upper river drainage. Study results improve understanding of life history diversity in potamodromous salmonids inhabiting relatively undisturbed watersheds and provide a baseline for monitoring Yellowstone Cutthroat Trout response to management actions in Yellowstone Lake.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2017.1313793","usgsCitation":"Ertel, B.D., McMahon, T., Koel, T., Gresswell, R.E., and Burckhardt, J., 2017, Life history migrations of adult Yellowstone Cutthroat Trout in the upper Yellowstone River: North American Journal of Fisheries Management, v. 37, no. 4, p. 743-755, https://doi.org/10.1080/02755947.2017.1313793.","productDescription":"13 p.","startPage":"743","endPage":"755","ipdsId":"IP-073367","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":469717,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1080/02755947.2017.1313793","text":"External Repository"},{"id":346433,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Upper Yellowstone River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.6158447265625,\n 43.51668853502906\n ],\n [\n -108.88000488281249,\n 43.51668853502906\n ],\n [\n -108.88000488281249,\n 44.63739123445585\n ],\n [\n -110.6158447265625,\n 44.63739123445585\n ],\n [\n -110.6158447265625,\n 43.51668853502906\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-12","publicationStatus":"PW","scienceBaseUri":"59d744a2e4b05fe04cc7e31c","contributors":{"authors":[{"text":"Ertel, Brian D.","contributorId":181863,"corporation":false,"usgs":false,"family":"Ertel","given":"Brian","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":711940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McMahon, Thomas E.","contributorId":189425,"corporation":false,"usgs":false,"family":"McMahon","given":"Thomas E.","affiliations":[],"preferred":false,"id":711941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koel, Todd M.","contributorId":196920,"corporation":false,"usgs":false,"family":"Koel","given":"Todd M.","affiliations":[],"preferred":false,"id":711942,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gresswell, Robert E. 0000-0003-0063-855X bgresswell@usgs.gov","orcid":"https://orcid.org/0000-0003-0063-855X","contributorId":147914,"corporation":false,"usgs":true,"family":"Gresswell","given":"Robert","email":"bgresswell@usgs.gov","middleInitial":"E.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":711939,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burckhardt, Jason 0009-0004-1951-4738","orcid":"https://orcid.org/0009-0004-1951-4738","contributorId":196921,"corporation":false,"usgs":false,"family":"Burckhardt","given":"Jason","affiliations":[{"id":6917,"text":"Wyoming Game and Fish Department, Laramie, USA","active":true,"usgs":false}],"preferred":false,"id":711943,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70191426,"text":"70191426 - 2017 - Nitrogenase activity by biological soil crusts in cold sagebrush steppe ecosystems","interactions":[],"lastModifiedDate":"2017-10-11T14:24:08","indexId":"70191426","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Nitrogenase activity by biological soil crusts in cold sagebrush steppe ecosystems","docAbstract":"In drylands worldwide, biological soil crusts (BSC) form a thin photosynthetic cover across landscapes, and provide vital benefits in terms of stabilizing soil and fixing nitrogen (N) and carbon (C). Numerous studies have examined the effects of climate and disturbance on BSC functions; however, few have characterized these responses in rolling BSCs typical of northern ecosystems in the Intermountain West, US. With temperature increases and shifts in precipitation projected, it is unclear how BSCs in this region will respond to climate change, and how the response could affect their capacity to perform key ecosystem functions, such as providing ‘new’ N through biological N2 fixation. To address this important knowledge gap, we examined nitrogenase activity (NA) associated with rolling BSCs along a climatic gradient in southwestern Idaho, US, and quantified how acetylene reduction rates changed as a function of climate, grazing (using exclosures), and shrub-canopy association. Results show that warmer, drier climates at lower elevations hosted greater cover of late successional BSC communities (e.g., mosses and lichens), and higher NA compared with colder, wetter climates at higher elevations. Highest NA (0.5–29.3 µmol C2H4 m−2 h−1) occurred during the early summer/spring, when water was more available than in late summer/autumn. Activity was strongly associated with soil characteristics including pH and ammonium concentrations suggesting these characteristics as potentially strong controls on NA in BSCs. The relationship between grazing and NA varied with elevation. Specifically, lower elevation sites had lower NA at grazed locations, whereas higher elevation sites had higher NA with grazing. At both low and high ends of the elevation gradient, shrub-canopy associated BSCs maintained two to three times higher NA compared to BSCs in the interspace among shrubs. Taken together, our findings indicate that the controls and rates of NA in BSCs vary seasonally and strongly with climate in the Intermountain West, and that drier springs are likely to influence rates of NA more than warmer summers.
","language":"English","publisher":"Springer","doi":"10.1007/s10533-017-0342-9","usgsCitation":"Schwabedissen, S.G., Lohse, K.A., Reed, S.C., Aho, K.A., and Magnuson, T.S., 2017, Nitrogenase activity by biological soil crusts in cold sagebrush steppe ecosystems: Biogeochemistry, v. 134, no. 1-2, p. 57-76, https://doi.org/10.1007/s10533-017-0342-9.","productDescription":"20 p.","startPage":"57","endPage":"76","ipdsId":"IP-076032","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":346511,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":" Reynolds Creek Experimental Watershed","volume":"134","issue":"1-2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-19","publicationStatus":"PW","scienceBaseUri":"59defbefe4b05fe04ccd3d54","contributors":{"authors":[{"text":"Schwabedissen, Stacy G.","contributorId":196994,"corporation":false,"usgs":false,"family":"Schwabedissen","given":"Stacy","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":712206,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lohse, Kathleen A. 0000-0003-1779-6773","orcid":"https://orcid.org/0000-0003-1779-6773","contributorId":196995,"corporation":false,"usgs":false,"family":"Lohse","given":"Kathleen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":712207,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":712205,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aho, Ken A.","contributorId":196997,"corporation":false,"usgs":false,"family":"Aho","given":"Ken","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":712209,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Magnuson, Timothy S.","contributorId":196996,"corporation":false,"usgs":false,"family":"Magnuson","given":"Timothy","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":712208,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70195555,"text":"70195555 - 2017 - Physical response of a back-barrier estuary to a post-tropical cyclone","interactions":[],"lastModifiedDate":"2018-02-23T11:20:34","indexId":"70195555","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2315,"text":"Journal of Geophysical Research C: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Physical response of a back-barrier estuary to a post-tropical cyclone","docAbstract":"This paper presents a modeling investigation of the hydrodynamic and sediment transport response of Chincoteague Bay (VA/MD, USA) to Hurricane Sandy using the Coupled Ocean-Atmosphere-Wave-Sediment-Transport (COAWST) modeling system. Several simulation scenarios with different combinations of remote and local forces were conducted to identify the dominant physical processes. While 80% of the water level increase in the bay was due to coastal sea level at the peak of the storm, a rich spatial and temporal variability in water surface slope was induced by local winds and waves. Local wind increased vertical mixing, horizontal exchanges, and flushing through the inlets. Remote waves (swell) enhanced southward flow through wave setup gradients between the inlets, and increased locally generated wave heights. Locally generated waves had a negligible effect on water level but reduced the residual flow up to 70% due to enhanced apparent roughness and breaking-induced forces. Locally generated waves dominated bed shear stress and sediment resuspension in the bay. Sediment transport patterns mirrored the interior coastline shape and generated deposition on inundated areas. The bay served as a source of fine sediment to the inner shelf, and the ocean-facing barrier island accumulated sand from landward-directed overwash. Despite the intensity of the storm forcing, the bathymetric changes in the bay were on the order of centimeters. This work demonstrates the spectrum of responses to storm forcing, and highlights the importance of local and remote processes on back-barrier estuarine function.
","language":"English","publisher":"AGU","doi":"10.1002/2016JC012344","usgsCitation":"Beudin, A., Ganju, N.K., Defne, Z., and Aretxabaleta, A., 2017, Physical response of a back-barrier estuary to a post-tropical cyclone: Journal of Geophysical Research C: Oceans, v. 122, no. 7, p. 5888-5904, https://doi.org/10.1002/2016JC012344.","productDescription":"17 p.","startPage":"5888","endPage":"5904","ipdsId":"IP-079338","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469715,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016jc012344","text":"Publisher Index Page"},{"id":351883,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chincoteague Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.5,\n 37.85\n ],\n [\n -75.1,\n 37.85\n ],\n [\n -75.1,\n 38.3\n ],\n [\n -75.5,\n 38.3\n ],\n [\n -75.5,\n 37.85\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"122","issue":"7","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-27","publicationStatus":"PW","scienceBaseUri":"5afee845e4b0da30c1bfc413","contributors":{"authors":[{"text":"Beudin, Alexis 0000-0001-9525-9450 abeudin@usgs.gov","orcid":"https://orcid.org/0000-0001-9525-9450","contributorId":5751,"corporation":false,"usgs":true,"family":"Beudin","given":"Alexis","email":"abeudin@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":729263,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ganju, Neil Kamal 0000-0002-1096-0465 nganju@usgs.gov","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":192273,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil","email":"nganju@usgs.gov","middleInitial":"Kamal","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":729264,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Defne, Zafer 0000-0003-4544-4310 zdefne@usgs.gov","orcid":"https://orcid.org/0000-0003-4544-4310","contributorId":5520,"corporation":false,"usgs":true,"family":"Defne","given":"Zafer","email":"zdefne@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":729265,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aretxabaleta, Alfredo 0000-0002-9914-8018 aaretxabaleta@usgs.gov","orcid":"https://orcid.org/0000-0002-9914-8018","contributorId":140090,"corporation":false,"usgs":true,"family":"Aretxabaleta","given":"Alfredo","email":"aaretxabaleta@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":729266,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189311,"text":"70189311 - 2017 - Inputs and internal cycling of nitrogen to a causeway influenced, hypersaline lake, Great Salt Lake, Utah, USA","interactions":[],"lastModifiedDate":"2017-07-11T09:31:34","indexId":"70189311","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":866,"text":"Aquatic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Inputs and internal cycling of nitrogen to a causeway influenced, hypersaline lake, Great Salt Lake, Utah, USA","docAbstract":"Nitrogen inputs to Great Salt Lake (GSL), located in the western USA, were quantified relative to the resident nitrogen mass in order to better determine numeric nutrient criteria that may be considered at some point in the future. Total dissolved nitrogen inputs from four surface-water sources entering GSL were modeled during the 5-year study period (2010–2014) and ranged from 1.90 × 106 to 5.56 × 106 kg/year. The railroad causeway breach was a significant conduit for the export of dissolved nitrogen from Gilbert to Gunnison Bay, and in 2011 and 2012, net losses of total nitrogen mass from Gilbert Bay via the Causeway breach were 9.59 × 105 and 1.51 × 106 kg. Atmospheric deposition (wet + dry) was a significant source of nitrogen to Gilbert Bay, exceeding the dissolved nitrogen load contributed via the Farmington Bay causeway surface-water input by >100,000 kg during 2 years of the study. Closure of two railroad causeway culverts in 2012 and 2013 likely initiated a decreasing trend in the volume of the higher density Deep Brine Layer and associated declines in total dissolved nitrogen mass contained in this layer. The large dissolved nitrogen pool in Gilbert Bay relative to the amount of nitrogen contributed by surface-water inflow sources is consistent with the terminal nature of GSL and the predominance of internal nutrient cycling. The opening of the new railroad causeway breach in 2016 will likely facilitate more efficient bidirectional flow between Gilbert and Gunnison Bays, resulting in potentially substantial changes in nutrient pools within GSL.
","language":"English","publisher":"Springer","doi":"10.1007/s10498-017-9318-6","usgsCitation":"Naftz, D.L., 2017, Inputs and internal cycling of nitrogen to a causeway influenced, hypersaline lake, Great Salt Lake, Utah, USA: Aquatic Geochemistry, v. 23, no. 3, p. 199-216, https://doi.org/10.1007/s10498-017-9318-6.","productDescription":"18 p.","startPage":"199","endPage":"216","ipdsId":"IP-055005","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":343552,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Great Salt Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.15917968749999,\n 40.63896734381723\n ],\n [\n -111.8902587890625,\n 40.63896734381723\n ],\n [\n -111.8902587890625,\n 41.72623044860004\n ],\n [\n -113.15917968749999,\n 41.72623044860004\n ],\n [\n -113.15917968749999,\n 40.63896734381723\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"23","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-09","publicationStatus":"PW","scienceBaseUri":"5965b1b8e4b0d1f9f05b379c","contributors":{"authors":[{"text":"Naftz, David L. 0000-0003-1130-6892 dlnaftz@usgs.gov","orcid":"https://orcid.org/0000-0003-1130-6892","contributorId":1041,"corporation":false,"usgs":true,"family":"Naftz","given":"David","email":"dlnaftz@usgs.gov","middleInitial":"L.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":704095,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70189327,"text":"70189327 - 2017 - Downscaling wind and wavefields for 21st century coastal flood hazard projections in a region of complex terrain","interactions":[],"lastModifiedDate":"2017-07-11T13:09:40","indexId":"70189327","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5026,"text":"Earth and Space Science","active":true,"publicationSubtype":{"id":10}},"title":"Downscaling wind and wavefields for 21st century coastal flood hazard projections in a region of complex terrain","docAbstract":"While global climate models (GCMs) provide useful projections of near-surface wind vectors into the 21st century, resolution is not sufficient enough for use in regional wave modeling. Statistically downscaled GCM projections from Multivariate Adaptive Constructed Analogues provide daily averaged near-surface winds at an appropriate spatial resolution for wave modeling within the orographically complex region of San Francisco Bay, but greater resolution in time is needed to capture the peak of storm events. Short-duration high wind speeds, on the order of hours, are usually excluded in statistically downscaled climate models and are of key importance in wave and subsequent coastal flood modeling. Here we present a temporal downscaling approach, similar to constructed analogues, for near-surface winds suitable for use in local wave models and evaluate changes in wind and wave conditions for the 21st century. Reconstructed hindcast winds (1975–2004) recreate important extreme wind values within San Francisco Bay. A computationally efficient method for simulating wave heights over long time periods was used to screen for extreme events. Wave hindcasts show resultant maximum wave heights of 2.2 m possible within the Bay. Changes in extreme over-water wind speeds suggest contrasting trends within the different regions of San Francisco Bay, but 21th century projections show little change in the overall magnitude of extreme winds and locally generated waves.
","language":"English","publisher":"AGU","doi":"10.1002/2016EA000193","usgsCitation":"O'Neill, A., Erikson, L.H., and Barnard, P., 2017, Downscaling wind and wavefields for 21st century coastal flood hazard projections in a region of complex terrain: Earth and Space Science, v. 4, no. 5, p. 314-334, https://doi.org/10.1002/2016EA000193.","productDescription":"21 p.","startPage":"314","endPage":"334","ipdsId":"IP-075780","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469785,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016ea000193","text":"Publisher Index Page"},{"id":343574,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.06610107421876,\n 37.411618795843026\n ],\n [\n -121.86035156249999,\n 37.411618795843026\n ],\n [\n -121.86035156249999,\n 38.16911413556086\n ],\n [\n -123.06610107421876,\n 38.16911413556086\n ],\n [\n -123.06610107421876,\n 37.411618795843026\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-24","publicationStatus":"PW","scienceBaseUri":"5965b1b8e4b0d1f9f05b379a","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":704188,"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":704189,"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":704190,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70189784,"text":"70189784 - 2017 - Numerical studies of depressurization-induced gas production from an interbedded marine turbidite gas hydrate reservoir model","interactions":[],"lastModifiedDate":"2017-07-26T14:57:40","indexId":"70189784","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Numerical studies of depressurization-induced gas production from an interbedded marine turbidite gas hydrate reservoir model","docAbstract":"The numerical simulation of thin hydrate-bearing sand layers interbedded with mud layers is investigated. In this model, the lowest hydrate layer occurs at the base of gas hydrate stability and overlies a thinly-interbedded saline aquifer. The predicted gas rates reach 6.25 MMscf/day (1.77 x 105 m3 /day) after 90 days of continuous depressurization with manageable water production. Development of horizontal dissociating interfaces between hydrate-bearing sand and mud layers is a primary determinant of reservoir performance. A set of simulations has been executed to assess uncertainty in in situ permeability and to determine the impact of the saline aquifer on productivity.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceeding of the 9th International Conference on Gas Hydrates","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"9th International Conference on Gas Hydrates","conferenceDate":"June 25-30, 2017","conferenceLocation":"Denver, CO","language":"English","usgsCitation":"Myshakin, E., Lin, J., Uchida, S., Seol, Y., Collett, T.S., and Boswell, R., 2017, Numerical studies of depressurization-induced gas production from an interbedded marine turbidite gas hydrate reservoir model, in Proceeding of the 9th International Conference on Gas Hydrates, Denver, CO, June 25-30, 2017, 18 p.","productDescription":"18 p.","ipdsId":"IP-084857","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":344338,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":344337,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.netl.doe.gov/File%20Library/Research/Oil-Gas/methane%20hydrates/840-ICGH9-Myshakin.pdf"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5979aa54e4b0ec1a488b8c02","contributors":{"authors":[{"text":"Myshakin, Evgeniy","contributorId":195140,"corporation":false,"usgs":false,"family":"Myshakin","given":"Evgeniy","affiliations":[],"preferred":false,"id":706341,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lin, Jeen-Shang","contributorId":195141,"corporation":false,"usgs":false,"family":"Lin","given":"Jeen-Shang","email":"","affiliations":[],"preferred":false,"id":706342,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Uchida, Shun","contributorId":195142,"corporation":false,"usgs":false,"family":"Uchida","given":"Shun","email":"","affiliations":[],"preferred":false,"id":706343,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seol, Yongkoo","contributorId":195139,"corporation":false,"usgs":false,"family":"Seol","given":"Yongkoo","email":"","affiliations":[],"preferred":false,"id":706344,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":706340,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boswell, Ray","contributorId":195137,"corporation":false,"usgs":false,"family":"Boswell","given":"Ray","affiliations":[],"preferred":false,"id":706345,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}