{"pageNumber":"74","pageRowStart":"1825","pageSize":"25","recordCount":16446,"records":[{"id":70201226,"text":"70201226 - 2019 - Evaluating restored tidal freshwater wetlands","interactions":[],"lastModifiedDate":"2018-12-07T15:16:36","indexId":"70201226","displayToPublicDate":"2018-12-07T15:16:32","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Evaluating restored tidal freshwater wetlands","docAbstract":"

As restoration of tidal freshwater wetlands has progressed in North America and Eurasia, research findings have continued to emerge on the postrestoration success of these ecosystems. The most common approaches used to restore tidal freshwater wetlands involve excavation or placement of dredged sediment to restore tidal hydrology compatible with vegetation establishment and managed realignment or diversion, which involves reconnecting former wetlands to tides by breaching dikes or levees. Postconstruction monitoring of tidal freshwater wetland restoration projects commonly includes not only studies of hydrology, soil, and vegetation but also geomorphology, microbial communities, seed banks, fish, birds, and invertebrates. Based on a review of assessment approaches and monitoring studies, we present criteria for evaluating tidal freshwater wetland restoration projects. In a case study, we apply these criteria to evaluate restored tidal freshwater wetlands in the highly urbanized Anacostia River watershed (Washington, DC, USA). We conclude that restoration can create tidal freshwater wetlands worldwide that share some structural or functional aspects with natural systems. Soil organic matter and microbial communities may be the slowest components to develop, and watershed urbanizationimposes strong constraints that prevent development of tidal freshwater wetlands similar to those in rural settings.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coastal wetlands: An integrated ecosystem approach","language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-444-63893-9.00025-3","usgsCitation":"Baldwin, A.H., Hammerschlag, R.S., and Cahoon, D.R., 2019, Evaluating restored tidal freshwater wetlands, chap. of Coastal wetlands: An integrated ecosystem approach, p. 889-912, https://doi.org/10.1016/B978-0-444-63893-9.00025-3.","productDescription":"24 p.","startPage":"889","endPage":"912","ipdsId":"IP-089855","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":360067,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c0b9572e4b0c53ecb2aca7a","contributors":{"editors":[{"text":"Perillo, Gerardo M. E.","contributorId":211190,"corporation":false,"usgs":false,"family":"Perillo","given":"Gerardo","email":"","middleInitial":"M. E.","affiliations":[],"preferred":false,"id":753388,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Wolanski, Eric","contributorId":211163,"corporation":false,"usgs":false,"family":"Wolanski","given":"Eric","email":"","affiliations":[],"preferred":false,"id":753389,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Cahoon, Donald R. 0000-0002-2591-5667 dcahoon@usgs.gov","orcid":"https://orcid.org/0000-0002-2591-5667","contributorId":3791,"corporation":false,"usgs":true,"family":"Cahoon","given":"Donald","email":"dcahoon@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":753390,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Hopkinson, Charles S.","contributorId":139745,"corporation":false,"usgs":false,"family":"Hopkinson","given":"Charles","email":"","middleInitial":"S.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":753391,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Baldwin, Andrew H.","contributorId":11479,"corporation":false,"usgs":true,"family":"Baldwin","given":"Andrew","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":753386,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hammerschlag, Richard S.","contributorId":67206,"corporation":false,"usgs":true,"family":"Hammerschlag","given":"Richard","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":753387,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cahoon, Donald R. 0000-0002-2591-5667 dcahoon@usgs.gov","orcid":"https://orcid.org/0000-0002-2591-5667","contributorId":3791,"corporation":false,"usgs":true,"family":"Cahoon","given":"Donald","email":"dcahoon@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":753330,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70201221,"text":"70201221 - 2019 - Seasonality of nitrate sources and isotopic composition in the Upper Illinois River","interactions":[],"lastModifiedDate":"2018-12-07T13:48:06","indexId":"70201221","displayToPublicDate":"2018-12-07T13:47:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Seasonality of nitrate sources and isotopic composition in the Upper Illinois River","docAbstract":"

To improve understanding of spatial, seasonal, and inter-annual variations in nitrate sources and in-stream processes in the Illinois River system, nitrate concentrations and isotopic compositions were measured in 445 water samples collected over a four-year period (2004–2008) from the Upper Illinois River Basin (UIRB). Samples included surface water in the river and major tributaries, effluent samples from Chicago’s largest wastewater treatment plant (WTP), and representative groundwater from shallow wells in agricultural land. Two principal nitrate endmember sources within the UIRB had distinctive isotopic compositions: WTP effluent with δ15N = 8.6 ± 1.7‰ and δ18O = 0.8 ± 1.4‰ and agricultural groundwater with δ15N-NO3 = 3.4 ± 0.6‰ and δ18O = 3.7 ± 0.5‰ (when minimally affected by nitrate reduction). Isotopic data indicated that the large pulse of nitrate exported from the river basin during the spring was mostly derived from agricultural land drainage, while nitrate from large WTP effluent point sources was predominant in the upper reaches of the river near Chicago. During low base-flow conditions in late-summer and fall, the agricultural nitrate source was greatly diminished and the headwater WTP source was predominant in the river basin export. Our results indicated biogeochemical nitrate reduction and isotopic fractionation occurred within the river network, affecting both agricultural and urban sources during surface-water transport. In addition, diminished agricultural nitrate export was attributable to preferential discharge of biogeochemically reduced groundwater during low base flow. Isotopic indicators of spatial and seasonal variations in the relative importance of different nitrate sources, and their relative susceptibility to natural attenuation, might be useful for guiding monitoring and management practices to reduce nitrate export from complex watersheds with mixed land uses.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2018.11.043","usgsCitation":"Lin, J., Bohlke, J., Huang, S., Gonzalez-Meler, M., and Sturchio, N.C., 2019, Seasonality of nitrate sources and isotopic composition in the Upper Illinois River: Journal of Hydrology, v. 568, p. 849-861, https://doi.org/10.1016/j.jhydrol.2018.11.043.","productDescription":"13 p.","startPage":"849","endPage":"861","ipdsId":"IP-100439","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":468035,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2018.11.043","text":"Publisher Index Page"},{"id":437613,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93WD0TH","text":"USGS data release","linkHelpText":"Chemical and isotopic data for a study of seasonality of nitrate sources and isotopic composition in the Upper Illinois River, 2004-2008"},{"id":360057,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Upper Illinois River","volume":"568","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c0b957ae4b0c53ecb2aca7c","contributors":{"authors":[{"text":"Lin, Jiajia","contributorId":211160,"corporation":false,"usgs":false,"family":"Lin","given":"Jiajia","email":"","affiliations":[{"id":38185,"text":"USEPA, Corvallis, Oregon","active":true,"usgs":false}],"preferred":false,"id":753315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":753314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huang, Sheng","contributorId":211161,"corporation":false,"usgs":false,"family":"Huang","given":"Sheng","email":"","affiliations":[{"id":38186,"text":"Washington DC Dept. of Energy and Environment","active":true,"usgs":false}],"preferred":false,"id":753316,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gonzalez-Meler, Miquel","contributorId":211162,"corporation":false,"usgs":false,"family":"Gonzalez-Meler","given":"Miquel","email":"","affiliations":[{"id":18137,"text":"University of Illinois at Chicago","active":true,"usgs":false}],"preferred":false,"id":753317,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sturchio, Neil C.","contributorId":149375,"corporation":false,"usgs":false,"family":"Sturchio","given":"Neil","email":"","middleInitial":"C.","affiliations":[{"id":15289,"text":"University of Illinois, Ven Te Chow Hydrosystems Laboratory","active":true,"usgs":false}],"preferred":false,"id":753318,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203671,"text":"70203671 - 2019 - Probability of streamflow permanence model (PROSPER): A spatially continuous model of annual streamflow permanence throughout the Pacific Northwest","interactions":[],"lastModifiedDate":"2023-03-27T22:23:55.781374","indexId":"70203671","displayToPublicDate":"2018-12-05T16:31:19","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5836,"text":"Journal of Hydrology X","onlineIssn":"2589-9155","active":true,"publicationSubtype":{"id":10}},"title":"Probability of streamflow permanence model (PROSPER): A spatially continuous model of annual streamflow permanence throughout the Pacific Northwest","docAbstract":"The U.S. Geological Survey (USGS) has developed the PRObability of Streamflow PERmanence (PROSPER) model, a GIS raster-based empirical model that provides streamflow permanence probabilities (probabilistic predictions) of a stream channel having year-round flow for any unregulated and minimally-impaired stream channel in the Pacific Northwest region, U.S. The model provides annual predictions for 2004-2016 at a 30-m spatial resolution based on monthly or annually updated values of climatic conditions and static physiographic variables associated with the upstream basin. Predictions correspond to any pixel on the channel network consistent with the medium resolution National Hydrography Dataset channel network stream grid. Total annual precipitation and percent forest cover were consistently the most important predictor variables among global and most subregional models, which had error rates between 17 and 22%. Probabilities were converted to wet and dry streamflow permanence classes with an associated confidence. Wet and dry classifications were used to derive descriptors that characterize the statistical and spatial distribution of streamflow permanence in three focal basins. Predicted dry channel segments account for 52 to 92% of the stream network across the three focal basins; streamflow permanence decreased during climatically drier years. Predictions are publicly available through the USGS StreamStats platform. Results demonstrate the utility of the PROSPER model as a tool for identifying areas that may be resilient or sensitive to drought conditions, allowing for management efforts that target protecting critical reaches. Importantly, PROSPER’s successful predictive performance can be improved with new datasets of streamflow permanence underscoring the importance of field observations.","language":"English","publisher":"Elsevier","doi":"10.1016/j.hydroa.2018.100005","usgsCitation":"Jaeger, K., Sando, R., McShane, R.R., Dunham, J.B., Hockman-Wert, D., Kaiser, K.E., Hafen, K., Risley, J., and Blasch, K.W., 2019, Probability of streamflow permanence model (PROSPER): A spatially continuous model of annual streamflow permanence throughout the Pacific Northwest: Journal of Hydrology X, v. 2, 100005, 19 p., https://doi.org/10.1016/j.hydroa.2018.100005.","productDescription":"100005, 19 p.","onlineOnly":"N","ipdsId":"IP-093406","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water 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1977-2016"},{"id":364401,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Nevada, Oregon, Utah, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.24462890625,\n 49.023461463214126\n ],\n [\n -123.02490234375,\n 48.76343113791796\n ],\n [\n -123.26660156249999,\n 48.63290858589535\n ],\n [\n -123.11279296875001,\n 48.37084770238366\n ],\n [\n -123.3544921875,\n 48.19538740833338\n ],\n [\n -123.72802734375,\n 48.21003212234042\n ],\n [\n -124.1455078125,\n 48.32703913063476\n ],\n [\n -124.73876953125,\n 48.50204750525715\n ],\n [\n -124.69482421875,\n 47.87214396888731\n ],\n [\n -124.29931640625,\n 47.517200697839414\n ],\n [\n -124.03564453125,\n 46.9052455464292\n ],\n [\n -123.94775390625,\n 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lake","interactions":[],"lastModifiedDate":"2018-12-03T10:28:53","indexId":"70201148","displayToPublicDate":"2018-12-03T10:28:49","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Linkages between hydrology and seasonal variations of nutrients and periphyton in a large oligotrophic subalpine lake","docAbstract":"

Periphyton is important to lake ecosystems, contributing to primary production, nutrient cycling, and benthic metabolism. Increases in periphyton growth in lakes can be indicative of changes in water quality, shifts in ecosystem structure, and increases in nutrient fluxes. In oligotrophic lakes, conservationists are interested in characterizing the influence of hydrological drivers on excessive periphyton growth along nearshore areas. We collected nutrient samples bi-weekly from groundwater and surface water during a 9-month monitoring period to evaluate the timing and availability of nutrients to eulittoral periphyton in Lake Tahoe. Groundwater discharge rates were measured synoptically using seepage meters and estimated indirectly using continuous head gradient measurements and aquifer properties estimated by slug tests. The discharge measurements made from the seepage meter measurements provide information about the spatial variability perpendicular from shore along and the change in groundwater discharge due to wave action. Algal biomass sampled from substrates and observed using underwater photographs were used to correlate seasonal growth and nutrient concentrations in groundwater and lake water. Results indicate that groundwater and nutrient discharge are temporally variable due to seasonal changes in recharge within the watershed, wave action, and lake stage. Groundwater discharge was enhanced by the seasonally-low lake stage and episodic recharge caused by precipitation falling as rain in the watershed. Increases in dissolved phosphorus and nitrate in the lake during winter are attributed to groundwater discharge and correlates to increases in algal biomass in the nearshore area. Results indicate that nutrient-rich groundwater discharge appears to stimulate seasonal periphyton blooms along the eulittoral zone of Lake Tahoe.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2018.11.033","usgsCitation":"Naranjo, R.C., Niswonger, R.G., Smith, D., Rosenberry, D.O., and Chandra, S., 2019, Linkages between hydrology and seasonal variations of nutrients and periphyton in a large oligotrophic subalpine lake: Journal of Hydrology, v. 568, p. 877-890, https://doi.org/10.1016/j.jhydrol.2018.11.033.","productDescription":"14 p.","startPage":"877","endPage":"890","ipdsId":"IP-085290","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":359861,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Lake Tahoe","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.20553588867188,\n 38.89530825492018\n ],\n [\n -119.87457275390625,\n 38.89530825492018\n ],\n [\n -119.87457275390625,\n 39.299236474818194\n ],\n [\n -120.20553588867188,\n 39.299236474818194\n ],\n [\n -120.20553588867188,\n 38.89530825492018\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"568","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c064edfe4b0815414cecb00","contributors":{"editors":[{"text":"Niswonger, Richard G. 0000-0001-6397-2403 rniswon@usgs.gov","orcid":"https://orcid.org/0000-0001-6397-2403","contributorId":197892,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard","email":"rniswon@usgs.gov","middleInitial":"G.","affiliations":[{"id":438,"text":"National Research Program - 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Climate change has fundamentally altered the water cycle in tropical islands, which is a critical driver of freshwater ecosystems. To examine how changes in streamflow regime have impacted habitat quality for native migratory aquatic species, we present a 50‐year (1967–2016) analysis of hydrologic records in 23 unregulated streams across the five largest Hawaiian Islands. For each stream, flow was separated into direct run‐off and baseflow and high‐ and low‐flow statistics (i.e., Q10 and Q90) with ecologically important hydrologic indices (e.g., frequency of flooding and low flow duration) derived. Using Mann–Kendall tests with a running trend analysis, we determined the persistence of streamflow trends through time. We analysed native stream fauna from ~400 sites, sampled from 1992 to 2007, to assess species richness among islands and streams. Declines in streamflow metrics indicated a general drying across the islands. In particular, significant declines in low flow conditions (baseflows), were experienced in 57% of streams, compared with a significant decline in storm flow conditions for 22% of streams. The running trend analysis indicated that many of the significant downward trends were not persistent through time but were only significant if recent decades (1987–2016) were included, with an average decline in baseflow and run‐off of 10.90% and 8.28% per decade, respectively. Streams that supported higher native species diversity were associated with moderate discharge and baseflow index, short duration of low flows, and negligible downward trends in flow. A significant decline in dry season flows (May–October) has led to an increase in the number of no‐flow days in drier areas, indicating that more streams may become intermittent, which has important implications for mauka to makai (mountain to ocean) hydrological connectivity and management of Hawai'i's native migratory freshwater fauna.

","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13356","usgsCitation":"Clilverd, H., Tsang, Y., Infante, D.M., Lynch, A., and Strauch, A.M., 2019, Long-term streamflow trends in Hawai‘i and implications for native stream fauna: Hydrological Processes, v. 33, no. 5, p. 699-719, https://doi.org/10.1002/hyp.13356.","productDescription":"21 p.","startPage":"699","endPage":"719","ipdsId":"IP-093628","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":460543,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://nora.nerc.ac.uk/id/eprint/522293/1/N522293PP.pdf","text":"External Repository"},{"id":363211,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"33","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Clilverd, H. M.","contributorId":215045,"corporation":false,"usgs":false,"family":"Clilverd","given":"H. M.","affiliations":[{"id":39163,"text":"University of Hawaii - Manoa","active":true,"usgs":false}],"preferred":false,"id":761509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tsang, Y.-P.","contributorId":215046,"corporation":false,"usgs":false,"family":"Tsang","given":"Y.-P.","affiliations":[{"id":39163,"text":"University of Hawaii - Manoa","active":true,"usgs":false}],"preferred":false,"id":761510,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Infante, D. M.","contributorId":215047,"corporation":false,"usgs":false,"family":"Infante","given":"D.","email":"","middleInitial":"M.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":761511,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lynch, Abigail 0000-0001-8449-8392 ajlynch@usgs.gov","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":169460,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","email":"ajlynch@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":761508,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Strauch, A. M.","contributorId":215048,"corporation":false,"usgs":false,"family":"Strauch","given":"A.","email":"","middleInitial":"M.","affiliations":[{"id":39164,"text":"Hawaii Department of Land and Natural Resources","active":true,"usgs":false}],"preferred":false,"id":761512,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203268,"text":"70203268 - 2019 - Clarifying regional hydrologic controls of the Marañón River, Peru through rapid assessment to inform system-wide basin planning approaches","interactions":[],"lastModifiedDate":"2019-05-02T08:37:35","indexId":"70203268","displayToPublicDate":"2018-12-01T07:15:33","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3888,"text":"Elementa: Science of the Anthropocene","active":true,"publicationSubtype":{"id":10}},"title":"Clarifying regional hydrologic controls of the Marañón River, Peru through rapid assessment to inform system-wide basin planning approaches","docAbstract":"

We use remote sensing to enhance the interpretation of the first baseline dataset of hydrologic, isotopic and hydrochemical variables spanning 620 km of the upper Marañón River, in Andean Peru, from the steep alpine canyons to the lower lying jungle. Remote, data-scarce river systems are under increased hydropower development pressure to meet rising energy demands. The upstream-downstream river continuum, which serves as a conduit for resource exchange across ecosystems, is at risk, potentially endangering the people, environments, and economies that rely on river resources. The Marañón River, one of the final free-flowing headwater connections between the Andes and the Amazon, is the subject of myriad large-scale hydropower proposals. Due to challenging access, environmental data are scarce in the upper Marañón, limiting our ability to do system-wide river basin planning. We capture key processes and transitions in the context of hydropower development. Two hydrologic regimes control the Marañón dry-season flow: in the higher-elevation upper reaches, a substantial baseflow is fed by groundwater recharged from wet season rains, in contrast to the lower reaches where the mainstem discharge is controlled by rain-fed tributaries that receive rain from lowland Amazon moisture systems. Sustainability of the upper corridor’s dry-season baseflow appears to be more highly connected to the massive natural storage capacity of extensive wetlands in the puna (alpine grasslands) than with cryospheric water inputs. The extent and conservation of puna ecosystems and glacier reservoirs may be interdependent, bringing to bear important conservation questions in the context of changing climate and land use in the region. More generally, this case study demonstrates an efficient combined remote sensing and field observation approach to address data scarcity across regional scales in mountain basins facing imminent rapid change.

","language":"English","publisher":"University of California Press","doi":"10.1525/elementa.290","usgsCitation":"Hill, A.F., Stallard, R., and Rittger, K., 2019, Clarifying regional hydrologic controls of the Marañón River, Peru through rapid assessment to inform system-wide basin planning approaches: Elementa: Science of the Anthropocene, v. 6, no. 1, 22 p., https://doi.org/10.1525/elementa.290.","productDescription":"22 p.","ipdsId":"IP-091037","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":468043,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/elementa.290","text":"Publisher Index Page"},{"id":363471,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Peru","otherGeospatial":"Marañón River","volume":"6","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Hill, Alice F.","contributorId":215273,"corporation":false,"usgs":false,"family":"Hill","given":"Alice","email":"","middleInitial":"F.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":761967,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stallard, Robert 0000-0001-8209-7608","orcid":"https://orcid.org/0000-0001-8209-7608","contributorId":215272,"corporation":false,"usgs":true,"family":"Stallard","given":"Robert","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":761966,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rittger, Karl","contributorId":215274,"corporation":false,"usgs":false,"family":"Rittger","given":"Karl","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":761968,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70201139,"text":"70201139 - 2019 - Controls of the spatial variability of denitrification potential in nontidal floodplains of the Chesapeake Bay watershed, USA","interactions":[],"lastModifiedDate":"2018-11-30T14:59:36","indexId":"70201139","displayToPublicDate":"2018-11-30T14:59:32","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1760,"text":"Geoderma","active":true,"publicationSubtype":{"id":10}},"title":"Controls of the spatial variability of denitrification potential in nontidal floodplains of the Chesapeake Bay watershed, USA","docAbstract":"

Identifying floodplains with high rates of denitrification will help prioritize restoration projects for the removal of nitrogen. Currently, relationships of denitrification with hydrogeomorphic, physiographic, and climate (i.e., largescale) characteristics of floodplains are relatively unknown, even though these characteristics have datasets (e.g., geographic mapping tools) that are publicly available (or soon-to-become) that could be used to understand denitrification variability. Thus, we investigated control of denitrification by these largescale characteristics in eighteen nontidal floodplains of the Chesapeake Bay watershed (i.e., at regional scale, >100 km, scale), using measurements or compiled data at the scales of the stream reach and respective catchment; floodplain soil and herbaceous vegetation (i.e., local) characteristics were additionally investigated. Soil denitrification potentials were measured in May, July, and August using complementary acetylene-based techniques under an anoxic environment. Linear largescale predictors of denitrification potential measurements included stream nitrogen and phosphorus concentrations (+), channel width-to-depth ratio (+), floodplain sedimentation (+), forested (−) and urban (+) catchment land cover, and seasonal air temperature (−). Three predictors, catchment forested land cover (strongly related to agricultural land cover), catchment urban land cover, and floodplain sedimentation were related to the most number of denitrification potential measurements. Soil structure, soil nutrient concentrations, and herbaceous vegetation characteristics that were seasonally measured (with a few exceptions) were linear predictors of denitrification potentials in May and August, with nitrogen and carbon characteristics the most consistent (positive) predictors across measurements. Nutrient amendment assays further supported the importance of nitrogen and carbon controls. Using the local characteristics as statistical mediators in path analysis, greater non-forested catchment land cover indirectly increased denitrification through greater floodplain soil nitrate, total phosphorus, and herbaceous aboveground biomass. Additionally, greater floodplain sedimentation indirectly increased denitrification through greater soil pH, total phosphorus, and potential carbon mineralization. Due to the consistency of relationships across denitrification potential measurements along with path modeling results, hotspots of floodplain denitrification should be found in urban and agricultural catchments where river-floodplain hydrologic connectivity promotes sedimentation. Largescale predictors explained 43–57% of the variation in denitrification potentials and should be useful for prediction in floodplains. Siting restoration projects in watersheds for maximum nitrate removal using publicly available largescale datasets is both feasible and effective.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.geoderma.2018.11.015","usgsCitation":"Korol, A.R., Noe, G.E., and Ahn, C., 2019, Controls of the spatial variability of denitrification potential in nontidal floodplains of the Chesapeake Bay watershed, USA: Geoderma, v. 338, p. 14-29, https://doi.org/10.1016/j.geoderma.2018.11.015.","productDescription":"16 p.","startPage":"14","endPage":"29","ipdsId":"IP-092882","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":460547,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geoderma.2018.11.015","text":"Publisher Index Page"},{"id":359856,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n 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strategies","interactions":[],"lastModifiedDate":"2019-06-06T09:49:34","indexId":"70203708","displayToPublicDate":"2018-11-30T09:41:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2183,"text":"Journal of Arid Environments","active":true,"publicationSubtype":{"id":10}},"title":"Responses of biological soil crusts to rehabilitation strategies","docAbstract":"Biological soil crusts (biocrusts) are common to dryland ecosystems and can influence a broad suite of soil ecological functions including stability and surface hydrology. Due to long recovery times following disturbance, there is a clear need for rehabilitation strategies to enhance the recovery of biocrust communities. Essential to biocrust recovery are exopolysaccharides (EPS): secretions comprised mainly of high molecular weight polymers that protect cyanobacteria from harsh environmental conditions. We examined whether biocrust rehabilitation strategies (inoculation in combination with surface shading and artificial soil stabilization) promote EPS production. To test if responses varied by soil texture, we measured biocrust recovery on two fine-textured soil types (clay and sandy clay loam) in a cool desert ecosystem. Shade coupled with inoculum addition resulted in the highest biocrust recovery, especially on clay soils. Independent of rehabilitation strategies, natural recovery of biocrusts occurred more rapidly on clay soils, reflected by greater increases in chlorophyll a (chl a). Chl a, a proxy for cyanobacterial biomass, was correlated to EPS amounts, suggesting that cyanobacteria are significant contributors to EPS production in biocrust development. Despite the role of EPS in biocrust establishment, EPS amounts had negligible effects on soil stability due inherent properties of fine soil texture.","language":"English","publisher":"ELSEVIER","doi":"10.1016/j.jaridenv.2018.10.007","usgsCitation":"Chock, T., Antoninka, A.J., Faist, A.M., Bowker, M.A., Belnap, J., and Barger, N.N., 2019, Responses of biological soil crusts to rehabilitation strategies: Journal of Arid Environments, v. 163, p. 77-85, https://doi.org/10.1016/j.jaridenv.2018.10.007.","productDescription":"9 p.","startPage":"77","endPage":"85","ipdsId":"IP-103117","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":468045,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jaridenv.2018.10.007","text":"Publisher Index Page"},{"id":364424,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"HIll Air Force Base","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.05986022949217,\n 41.08349176750823\n ],\n [\n -111.92047119140624,\n 41.08349176750823\n ],\n [\n -111.92047119140624,\n 41.1817547636353\n ],\n [\n -112.05986022949217,\n 41.1817547636353\n ],\n [\n -112.05986022949217,\n 41.08349176750823\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"163","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Chock, Taylor","contributorId":216041,"corporation":false,"usgs":false,"family":"Chock","given":"Taylor","email":"","affiliations":[{"id":39355,"text":"Department of Ecology and Evolutionary Biology, University of Colorado at Boulder, Boulder, CO, 80309, USA","active":true,"usgs":false}],"preferred":false,"id":763741,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Antoninka, Anita J.","contributorId":216042,"corporation":false,"usgs":false,"family":"Antoninka","given":"Anita","email":"","middleInitial":"J.","affiliations":[{"id":39356,"text":"School of Forestry, Northern Arizona University, Flagstaff, AZ, 86011, USA","active":true,"usgs":false}],"preferred":false,"id":763742,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faist, Akasha M.","contributorId":193038,"corporation":false,"usgs":false,"family":"Faist","given":"Akasha","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":763743,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bowker, Matthew A.","contributorId":196428,"corporation":false,"usgs":false,"family":"Bowker","given":"Matthew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":763744,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":763740,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barger, Nichole N.","contributorId":193039,"corporation":false,"usgs":false,"family":"Barger","given":"Nichole","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":763745,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70216038,"text":"70216038 - 2019 - Modelling effects of invasive species and drought on crayfish extinction risk and population dynamics","interactions":[],"lastModifiedDate":"2020-11-04T00:09:04.544821","indexId":"70216038","displayToPublicDate":"2018-11-28T18:02:57","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":862,"text":"Aquatic Conservation: Marine and Freshwater Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Modelling effects of invasive species and drought on crayfish extinction risk and population dynamics","docAbstract":"
  1. Hydrological alteration, which may be exacerbated by climate change, is known to facilitate aquatic species invasion. Altered hydrology, invasive species, and the additive effects of these stressors pose a threat to aquatic biodiversity.
  2. Understanding extinction risk in the context of these stressors is crucial for prioritizing conservation efforts. As case studies, three narrow‐ranged endemic crayfish species of conservation concern (Faxonius marchandi, Faxonius roberti, and Cambarus hubbsi) in the Ozark Highlands of Arkansas and Missouri, USA, were used to examine the effects of invasive species and drought on crayfish population dynamics.
  3. The objectives of this study were to model the population dynamics of these imperilled species, assess how these populations may be affected under increased invasion effects and intensified drought, determine potential refuge effects, and examine the sensitivity of quasi‐extinction to model parameters.
  4. ramas‐metapop was used to construct stage‐based demographic models. Terminal extinction risk, median time to quasi‐extinction, and metapopulation occupancy were used to assess population viability under different scenarios.
  5. Cambarus hubbsi appears to be highly susceptible to decline if survival rates are reduced by simulated drought, as they have low reproductive potential and mature slowly. Models indicated that potential refuges allow F. roberti and C. hubbsi to persist, even when invasion and drought effects were extreme. Conversely, barriers to dispersal for F. marchandi led to reduced quasi‐extinction times and the greatest extinction risk under most invasion scenarios. Quasi‐extinction was most sensitive to changes in juvenile survival for all species examined, which indicates that improved estimates of stage‐specific demographic parameters for crayfish will improve model predictions.
  6. An increased understanding of the mechanisms of displacement of native crayfish by invasive crayfish is needed for most crayfish species. Limiting the spread of invasive species, maintaining natural habitat and hydrological regimes, and gaining insight into life histories and demographic parameters will increase the ability to conserve endemic and imperilled crayfish.
","language":"English","publisher":"Wiley","doi":"10.1002/aqc.2982","usgsCitation":"Yarra, A.N., and Magoulick, D.D., 2019, Modelling effects of invasive species and drought on crayfish extinction risk and population dynamics: Aquatic Conservation: Marine and Freshwater Ecosystems, v. 29, no. 1, p. 1-11, https://doi.org/10.1002/aqc.2982.","productDescription":"11 p.","startPage":"1","endPage":"11","ipdsId":"IP-099410","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":380096,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Missouri","otherGeospatial":"Spring River drainage","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.13134765625,\n 35.782170703266075\n ],\n [\n -90.63720703125,\n 35.782170703266075\n ],\n [\n -90.63720703125,\n 36.98500309285596\n ],\n [\n -92.13134765625,\n 36.98500309285596\n ],\n [\n -92.13134765625,\n 35.782170703266075\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-11-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Yarra, Allyson N.","contributorId":204803,"corporation":false,"usgs":false,"family":"Yarra","given":"Allyson","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":803851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":803874,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70227741,"text":"70227741 - 2019 - Modelling effects of invasive species and drought on crayfish extinction risk and population dynamics","interactions":[],"lastModifiedDate":"2022-01-28T16:15:17.750707","indexId":"70227741","displayToPublicDate":"2018-11-28T10:07:19","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":862,"text":"Aquatic Conservation: Marine and Freshwater Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Modelling effects of invasive species and drought on crayfish extinction risk and population dynamics","docAbstract":"
  1. Hydrological alteration, which may be exacerbated by climate change, is known to facilitate aquatic species invasion. Altered hydrology, invasive species, and the additive effects of these stressors pose a threat to aquatic biodiversity.
  2. Understanding extinction risk in the context of these stressors is crucial for prioritizing conservation efforts. As case studies, three narrow-ranged endemic crayfish species of conservation concern (Faxonius marchandi, Faxonius roberti, and Cambarus hubbsi) in the Ozark Highlands of Arkansas and Missouri, USA, were used to examine the effects of invasive species and drought on crayfish population dynamics.
  3. The objectives of this study were to model the population dynamics of these imperilled species, assess how these populations may be affected under increased invasion effects and intensified drought, determine potential refuge effects, and examine the sensitivity of quasi-extinction to model parameters.
  4. ramas-metapop was used to construct stage-based demographic models. Terminal extinction risk, median time to quasi-extinction, and metapopulation occupancy were used to assess population viability under different scenarios.
  5. Cambarus hubbsi appears to be highly susceptible to decline if survival rates are reduced by simulated drought, as they have low reproductive potential and mature slowly. Models indicated that potential refuges allow F. roberti and C. hubbsi to persist, even when invasion and drought effects were extreme. Conversely, barriers to dispersal for F. marchandi led to reduced quasi-extinction times and the greatest extinction risk under most invasion scenarios. Quasi-extinction was most sensitive to changes in juvenile survival for all species examined, which indicates that improved estimates of stage-specific demographic parameters for crayfish will improve model predictions.
  6. An increased understanding of the mechanisms of displacement of native crayfish by invasive crayfish is needed for most crayfish species. Limiting the spread of invasive species, maintaining natural habitat and hydrological regimes, and gaining insight into life histories and demographic parameters will increase the ability to conserve endemic and imperilled crayfish.
","language":"English","publisher":"Wiley","doi":"10.1002/aqc.2982","usgsCitation":"Yarra, A.N., and Magoulick, D.D., 2019, Modelling effects of invasive species and drought on crayfish extinction risk and population dynamics: Aquatic Conservation: Marine and Freshwater Ecosystems, v. 29, no. 1, p. 1-11, https://doi.org/10.1002/aqc.2982.","productDescription":"11 p.","startPage":"1","endPage":"11","ipdsId":"IP-090534","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395068,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Missouri","otherGeospatial":"Spring River drainage","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92,\n 36.146746777814364\n ],\n [\n -91,\n 36.146746777814364\n ],\n [\n -91,\n 36.7\n ],\n [\n -92,\n 36.7\n ],\n [\n -92,\n 36.146746777814364\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-11-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Yarra, Allyson N.","contributorId":204803,"corporation":false,"usgs":false,"family":"Yarra","given":"Allyson","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":832146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":832004,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70203685,"text":"70203685 - 2019 - Linking variability in climate to wetland habitat suitability: Is it possible to forecast regional responses from simple climate measures?","interactions":[],"lastModifiedDate":"2019-06-05T15:22:28","indexId":"70203685","displayToPublicDate":"2018-11-17T15:21:25","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3751,"text":"Wetlands Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Linking variability in climate to wetland habitat suitability: Is it possible to forecast regional responses from simple climate measures?","docAbstract":"Temporary wetlands have value to both ecological and social systems. Interactions between local climate and the surrounding landscape result in patterns of hydrology that are unique to temporary wetlands. These seasonal and annual fluctuations in wetland inundation contribute to community composition and richness. Thus, predicting wetland community responses to environmental change is tied to the ability to predict wetland hydroregime. Detailed monitoring of wetland hydroregime is resource-intensive, limiting the scope and scale of forecasting. As an alternative, we determine which freely available measures of water availability best predict one component of wetland hydroregime, habitat suitability (i.e., the predictability of water in a wetland) within and among geographic regions. We used data from three North American regions to determine the climate index that best explained year-to-year variation in habitat suitability during a key phenological period—amphibian breeding. We demonstrate that simple, short-term climate indices based solely on precipitation data best predict habitat suitability in vernal pools in the northeast, montane wetlands in the west and coastal plain wetlands in the southeast. These relationships can help understand how changes in short-term precipitation patterns as a result of climate change may influence the overall hydroregime, and resulting biodiversity, of temporary wetlands across disparate biomes.","language":"English","publisher":"Springer","doi":"10.1007/s11273-018-9639-2","usgsCitation":"C, D., D, M., Campbell Grant, E.H., Halstead, B., Kleeman, P.M., Walls, S., and Barichivich, W., 2019, Linking variability in climate to wetland habitat suitability: Is it possible to forecast regional responses from simple climate measures?: Wetlands Ecology and Management, v. 27, no. 1, p. 39-53, https://doi.org/10.1007/s11273-018-9639-2.","productDescription":"15 p.","startPage":"39","endPage":"53","ipdsId":"IP-096066","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":364394,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364303,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007/s11273-018-9639-2"}],"volume":"27","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-17","publicationStatus":"PW","contributors":{"authors":[{"text":"C, Davis","contributorId":215984,"corporation":false,"usgs":false,"family":"C","given":"Davis","email":"","affiliations":[{"id":6975,"text":"Penn State","active":true,"usgs":false}],"preferred":false,"id":763599,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"D, Miller","contributorId":215985,"corporation":false,"usgs":false,"family":"D","given":"Miller","email":"","affiliations":[{"id":6975,"text":"Penn State","active":true,"usgs":false}],"preferred":false,"id":763600,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":763598,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":215986,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian","email":"bhalstead@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":763601,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kleeman, Patrick M. 0000-0001-6567-3239 pkleeman@usgs.gov","orcid":"https://orcid.org/0000-0001-6567-3239","contributorId":3948,"corporation":false,"usgs":true,"family":"Kleeman","given":"Patrick","email":"pkleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":763602,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walls, Susan 0000-0001-7391-9155","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":215987,"corporation":false,"usgs":true,"family":"Walls","given":"Susan","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":763603,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barichivich, William 0000-0003-1103-6861","orcid":"https://orcid.org/0000-0003-1103-6861","contributorId":215988,"corporation":false,"usgs":true,"family":"Barichivich","given":"William","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":763604,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70263303,"text":"70263303 - 2019 - The U. S. Geological Survey National Hydrologic Model infrastructure: Rationale, description, and application of a watershed-scale model for the conterminous United States","interactions":[],"lastModifiedDate":"2025-02-05T14:52:07.78121","indexId":"70263303","displayToPublicDate":"2018-10-31T08:48:04","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7164,"text":"Environmental Modelling & Software","active":true,"publicationSubtype":{"id":10}},"title":"The U. S. Geological Survey National Hydrologic Model infrastructure: Rationale, description, and application of a watershed-scale model for the conterminous United States","docAbstract":"

The ability to effectively manage water resources to meet present and future human and environmental needs is essential. Such an ability necessitates a comprehensive understanding of hydrologic processes that affect streamflow at a watershed scale. In the United States, water-resources management at scales ranging from local to national can benefit from a nationally consistent, process-based watershed modeling capability to provide the requisite understanding. The National Hydrologic Model (NHM) infrastructure, which was developed by the U.S. Geological Survey to support coordinated, comprehensive, and consistent hydrologic modeling at multiple scales for the conterminous United States, provides this essential capability. NHM-based applications provide information to enable more effective water-resources planning and management, fill knowledge gaps in ungaged areas, and support basic scientific inquiry. In the future, as process algorithms and data sets improve, the NHM infrastructure will continue to evolve to better support the nation's water-resources research and management needs.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2018.09.023","usgsCitation":"Regan, R.S., Juracek, K.E., Hay, L., Markstrom, S.L., Viger, R.J., Driscoll, J.M., LaFontaine, J.H., and Norton, P.A., 2019, The U. S. Geological Survey National Hydrologic Model infrastructure: Rationale, description, and application of a watershed-scale model for the conterminous United States: Environmental Modelling & Software, v. 111, p. 192-203, https://doi.org/10.1016/j.envsoft.2018.09.023.","productDescription":"12 p.","startPage":"192","endPage":"203","ipdsId":"IP-090180","costCenters":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":481697,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Conterminous United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n 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Establishing the connectivity among depressional wetlands is important for their proper management, conservation and restoration. In this study, the concentrations of 38 elements in surface water and porewater of depressional wetlands were investigated to determine chemical and hydrological connectivity of three hydrological types: recharge, flow-through, and discharge, in the Prairie Pothole Region of North America. Most element concentrations of porewater varied significantly by wetland hydrologic type (p < 0.05), and increased along a recharge to discharge hydrologic gradient. Significant spatial variation of element concentrations in surface water was observed in discharge wetlands. Generally, higher element concentrations occurred in natural wetlands compared to wetlands with known disturbances (previous drainage and grazing). Electrical conductivity explained 42.3% and 30.5% of the variation of all element concentrations in porewater and surface water. Non-metric multidimensional scaling analysis showed that the similarity decreased from recharge to flow-through to discharge wetland in each sampling site. Cluster analysis confirmed that element compositions in porewater of interconnected wetlands were more similar to each other than to those of wetlands located farther away. Porewater and surface water in a restored wetland showed similar multi-element characteristics to natural wetlands. In contrast, depressional wetlands connected by seeps along a deactivated drain-tile path and a grazed wetland showed distinctly different multi-element characteristics compared to other wetlands sampled. Our findings confirm that the multi-element fingerprinting method can be useful for assessing hydro-chemical connectivity across the landscape, and indicate that element concentrations are not only affected by land use, but also by hydrological characteristics.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2018.10.033","usgsCitation":"Yuan, Y., Zhu, X., Mushet, D.M., and Otte, M.L., 2019, Multi-element fingerprinting of waters to evaluate connectivity among depressional wetlands: Ecological Indicators, v. 97, p. 398-409, https://doi.org/10.1016/j.ecolind.2018.10.033.","productDescription":"12 p.","startPage":"398","endPage":"409","ipdsId":"IP-099304","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":359029,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -100,\n 46\n ],\n [\n -98,\n 46\n ],\n [\n -98,\n 48\n ],\n [\n -100,\n 48\n ],\n [\n -100,\n 46\n ]\n ]\n ]\n }\n }\n ]\n}\n","volume":"97","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a8dae4b034bf6a7e4d7d","contributors":{"authors":[{"text":"Yuan, Yuxiang","contributorId":210282,"corporation":false,"usgs":false,"family":"Yuan","given":"Yuxiang","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":750367,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhu, Xiaoyan","contributorId":210283,"corporation":false,"usgs":false,"family":"Zhu","given":"Xiaoyan","email":"","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":750368,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":750366,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Otte, Marinus L.","contributorId":210284,"corporation":false,"usgs":false,"family":"Otte","given":"Marinus","email":"","middleInitial":"L.","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":750369,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70215740,"text":"70215740 - 2019 - Effects of climate-related stream factors on patterns of individual summer growth of Cutthroat Trout","interactions":[],"lastModifiedDate":"2020-10-28T12:32:54.446395","indexId":"70215740","displayToPublicDate":"2018-10-26T07:24:11","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Effects of climate-related stream factors on patterns of individual summer growth of Cutthroat Trout","docAbstract":"

Coldwater fishes are sensitive to abiotic and biotic stream factors, which can be influenced by climate. Distributions of inland salmonids in North America have declined significantly, with many of the current strongholds located in small headwater systems that may serve as important refugia as climate change progresses. We investigated the effects of discharge, stream temperature, trout biomass, and food availability on summer growth of Yellowstone Cutthroat Trout Oncorhynchus clarkii bouvieri, a species of concern with significant ecological value. Individual size, stream discharge, sample section biomass, and temperature were all associated with growth, but had differing effects on energy allocation. Stream discharge had a positive relationship with growth rates in length and mass; greater rates of prey delivery at higher discharges probably enabled trout to accumulate reserve tissues in addition to structural growth. Temperature effects were positive but not significant, and support in growth models was limited, likely due to the cold thermal regimes of the study area. The strength of the discharge effect on growth suggests that climate adaptation strategies for coldwater fishes that focus solely on thermal characteristics may be misleading and highlights the importance of considering multiple factors, including hydrologic regimes, in conservation planning.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10106","usgsCitation":"Uthe, P., Al-Chokhachy, R., Shepard, B., Zale, A.V., and Kershner, J., 2019, Effects of climate-related stream factors on patterns of individual summer growth of Cutthroat Trout: Transactions of the American Fisheries Society, v. 148, no. 1, p. 21-34, https://doi.org/10.1002/tafs.10106.","productDescription":"14 p.","startPage":"21","endPage":"34","ipdsId":"IP-059914","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":460557,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/tafs.10106","text":"Publisher Index Page"},{"id":379861,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, Wyoming","otherGeospatial":"Shields River, Spread Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.32421875,\n 44.99588261816546\n ],\n [\n -111.005859375,\n 44.74673324024678\n ],\n [\n -111.005859375,\n 43.03677585761058\n ],\n [\n -108.45703125,\n 43.03677585761058\n ],\n [\n -110.0390625,\n 45.98169518512228\n ],\n [\n -111.4013671875,\n 46.830133640447386\n ],\n [\n -112.8955078125,\n 46.31658418182218\n ],\n [\n -112.32421875,\n 44.99588261816546\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"148","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-10-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Uthe, Patrick","contributorId":189424,"corporation":false,"usgs":false,"family":"Uthe","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":803251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Al-Chokhachy, Robert K. 0000-0002-2136-5098","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":228929,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert K.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":803252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shepard, Bradley","contributorId":152364,"corporation":false,"usgs":false,"family":"Shepard","given":"Bradley","affiliations":[{"id":18917,"text":"4B.B. Shepard and Associates, Livingston, MT, 59047 USA","active":true,"usgs":false}],"preferred":false,"id":803253,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zale, Alexander V. 0000-0003-1703-885X","orcid":"https://orcid.org/0000-0003-1703-885X","contributorId":244099,"corporation":false,"usgs":true,"family":"Zale","given":"Alexander","email":"","middleInitial":"V.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":803254,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kershner, Jeffrey L.","contributorId":204244,"corporation":false,"usgs":false,"family":"Kershner","given":"Jeffrey L.","affiliations":[],"preferred":false,"id":803255,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70200513,"text":"70200513 - 2019 - Revisiting the historic distribution and habitats of the Whooping Crane","interactions":[],"lastModifiedDate":"2018-10-24T10:32:06","indexId":"70200513","displayToPublicDate":"2018-10-23T13:34:52","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Revisiting the historic distribution and habitats of the Whooping Crane","docAbstract":"

The endangered Whooping Crane (Grus americana) historically had a wide distribution that covered diverse ecoregions across North America while retaining consistent habitat preferences within each ecoregion. We reevaluate the historic information compiled by Robert Porter Allen in 1952 and added 74 other records. Based on the ecological features of historic locations relative to crane life history, we revisit Allen’s description of the whooping crane’s niche and identify four features common to breeding and wintering areas: (1) gentle to rolling topography with an interspersion of wetland and prairie habitats, and relatively sparse cover of trees and shrubs; (2) high densities of shallow, open wetlands or wetland complexes; (3) hydrological regimes that provide reliable conditions for nesting, brood rearing, and flightless adults; and (4) high plant and animal productivity due to fertile soils, hydrological pulsing, periodic inflow of nutrients, or other periodic perturbations. Accurate determination of the ecological features that compose Whooping Crane habitats should stimulate renewed discussions about habitat requirements and can support development of improved reintroduction strategies for the long-term success of recovery efforts.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Whooping cranes: Biology and conservation","language":"English","publisher":"Academic Press","doi":"10.1016/B978-0-12-803555-9.00003-7","usgsCitation":"Austin, J.E., Hayes, M.A., and Barzen, J.A., 2019, Revisiting the historic distribution and habitats of the Whooping Crane, chap. of Whooping cranes: Biology and conservation, p. 25-88, https://doi.org/10.1016/B978-0-12-803555-9.00003-7.","productDescription":"64 p.","startPage":"25","endPage":"88","ipdsId":"IP-069164","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":468067,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/b978-0-12-803555-9.00003-7","text":"Publisher Index Page"},{"id":358675,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a8dfe4b034bf6a7e4da8","contributors":{"authors":[{"text":"Austin, Jane E. 0000-0001-8775-2210 jaustin@usgs.gov","orcid":"https://orcid.org/0000-0001-8775-2210","contributorId":146411,"corporation":false,"usgs":true,"family":"Austin","given":"Jane","email":"jaustin@usgs.gov","middleInitial":"E.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":749209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayes, Matthew A.","contributorId":190796,"corporation":false,"usgs":false,"family":"Hayes","given":"Matthew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":749210,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barzen, Jeb A.","contributorId":190797,"corporation":false,"usgs":false,"family":"Barzen","given":"Jeb","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":749211,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70207113,"text":"70207113 - 2019 - Testing the potential role of brine reflux in the formation of sedimentary exhalative (Sedex) ore deposits","interactions":[],"lastModifiedDate":"2020-08-06T20:26:40.86865","indexId":"70207113","displayToPublicDate":"2018-10-12T09:36:42","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2954,"text":"Ore Geology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Testing the potential role of brine reflux in the formation of sedimentary exhalative (Sedex) ore deposits","docAbstract":"Sedimentary exhalative (sedex) ore deposits are the world’s largest Zn-Pb deposits. While the geologic processes that formed these deposits are generally well understood, the fundamental hydrologic processes that drove these massive hydrothermal systems remain an area of debate. We use numerical modeling to test an emerging hypothesis, supported by recent ore genesis research and sedex basin analysis, that brine reflux flow systems produced and drove the fluids that formed sedex deposits. A previous numerical model of brine reflux, developed to study dolomitization, is adapted to a sedimentary basin with geologic features essential for sedex formation. We simulate the flow of evaporated brines through the basin and the evolution of salinity, temperature, and flow rates, and find that modeled values for these parameters for brines discharging to the seafloor exceed previously established physiochemical thresholds for ore formation (>170 g/L, >80°C, and total discharge volumes >107 m3 per meter perpendicular to the 2D model section). Sensitivity testing of this modest-sized basin highlights the large effect that aspects of the hydrogeologic framework can have on mineralizing potential of the reflux brines. Finally, modeling alternating periods of active and inactive evaporation produces pulsed brine reflux systems capable of producing multiple deposits of different age as observed in many sedex basins. The modeling thus supports the hypothesis that seawater evaporation on the basin margin significantly inboard of sedex deposits may be responsible for their formation. Sensitivity testing suggests that numerical models with more detailed, basin-specific geologic frameworks might be useful for assessing the mineral potential of sedimentary basins.","language":"English","publisher":"Elsevier","doi":"10.1016/j.oregeorev.2018.10.003","usgsCitation":"Manning, A.H., and Emsbo, P., 2019, Testing the potential role of brine reflux in the formation of sedimentary exhalative (Sedex) ore deposits: Ore Geology Reviews, v. 102, p. 862-874, https://doi.org/10.1016/j.oregeorev.2018.10.003.","productDescription":"13 p.","startPage":"862","endPage":"874","ipdsId":"IP-097533","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"links":[{"id":468075,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.oregeorev.2018.10.003","text":"Publisher Index Page"},{"id":370079,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"102","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Manning, Andrew H. 0000-0002-6404-1237 amanning@usgs.gov","orcid":"https://orcid.org/0000-0002-6404-1237","contributorId":1305,"corporation":false,"usgs":true,"family":"Manning","given":"Andrew","email":"amanning@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":776870,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Emsbo, Poul 0000-0001-9421-201X pemsbo@usgs.gov","orcid":"https://orcid.org/0000-0001-9421-201X","contributorId":997,"corporation":false,"usgs":true,"family":"Emsbo","given":"Poul","email":"pemsbo@usgs.gov","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":776871,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70205454,"text":"70205454 - 2019 - How hydrologic connectivity regulates water quality in river corridors","interactions":[],"lastModifiedDate":"2020-09-01T20:13:54.038019","indexId":"70205454","displayToPublicDate":"2018-10-09T18:20:23","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"How hydrologic connectivity regulates water quality in river corridors","docAbstract":"

Downstream flow in rivers is repeatedly delayed by hydrologic exchange with off‐channel storage zones where biogeochemical processing occurs. We present a dimensionless metric that quantifies river connectivity as the balance between downstream flow and the exchange of water with the bed, banks, and floodplains. The degree of connectivity directly influences downstream water quality — too little connectivity limits the amount of river water exchanged and leads to biogeochemically inactive water storage, while too much connectivity limits the contact time with sediments for reactions to proceed. Using a metric of reaction significance based on river connectivity, we provide evidence that intermediate levels of connectivity, rather than the highest or lowest levels, are the most efficient in removing nitrogen from Northeastern United States’ rivers. Intermediate connectivity balances the frequency, residence time, and contact volume with reactive sediments, which can maximize the reactive processing of dissolved contaminants and the protection of downstream water quality. Our simulations suggest denitrification dominantly occurs in riverbed hyporheic zones of streams and small rivers, whereas vertical turbulent mixing in contact with sediments dominates in mid‐size to large rivers. The metrics of connectivity and reaction significance presented here can facilitate scientifically based prioritizations of river management strategies to protect the values and functions of river corridors.

","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12691","usgsCitation":"Harvey, J., Gomez-Velez, J., Schmadel, N., Scott, D., Boyer, E.W., Alexander, R., Eng, K., Golden, H.E., Kettner, A., Konrad, C., Moore, R., Pizzuto, J., Schwarz, G., Soulsby, C., and Choi, J., 2019, How hydrologic connectivity regulates water quality in river corridors: Journal of the American Water Resources Association, v. 55, no. 2, p. 369-381, https://doi.org/10.1111/1752-1688.12691.","productDescription":"13 p.","startPage":"369","endPage":"381","ipdsId":"IP-098548","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":468077,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/1752-1688.12691","text":"External Repository"},{"id":367535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Harvey, Judson 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":219085,"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":true,"id":771241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gomez-Velez, Jesus","contributorId":219087,"corporation":false,"usgs":false,"family":"Gomez-Velez","given":"Jesus","affiliations":[{"id":36656,"text":"Vanderbilt University","active":true,"usgs":false}],"preferred":false,"id":771243,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmadel, Noah","contributorId":219086,"corporation":false,"usgs":true,"family":"Schmadel","given":"Noah","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":771242,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scott, Durelle","contributorId":219088,"corporation":false,"usgs":false,"family":"Scott","given":"Durelle","affiliations":[{"id":39959,"text":"Virginia Tech.","active":true,"usgs":false}],"preferred":false,"id":771244,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boyer, Elizabeth W.","contributorId":44659,"corporation":false,"usgs":false,"family":"Boyer","given":"Elizabeth","email":"","middleInitial":"W.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":771245,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Alexander, Richard","contributorId":219089,"corporation":false,"usgs":true,"family":"Alexander","given":"Richard","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":771246,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Eng, Ken 0000-0001-6838-5849 keng@usgs.gov","orcid":"https://orcid.org/0000-0001-6838-5849","contributorId":3580,"corporation":false,"usgs":true,"family":"Eng","given":"Ken","email":"keng@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - 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Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":771255,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70204560,"text":"70204560 - 2019 - Wind River subbasin restoration annual report of USGS activities January 2017 through December 2017","interactions":[],"lastModifiedDate":"2019-08-06T09:38:27","indexId":"70204560","displayToPublicDate":"2018-10-01T08:03:06","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Wind River subbasin restoration annual report of USGS activities January 2017 through December 2017","docAbstract":"

We used Passive Integrated Transponder (PIT)-tagging and a series of instream PIT-tag interrogation systems (PTISs) to investigate life-histories, populations, and efficacy of habitat restoration actions for wild Steelhead Oncorhynchus mykiss in the Wind River subbasin, WA. No hatchery Steelhead have been planted in the Wind River subbasin since 1997, and hatchery adults are estimated to be less than one percent of adults in most years (pers comm. Thomas Buehrens, Washington Department of Fish and Wildlife). Numerous restoration actions have been implemented in the subbasin, including Hemlock Dam removal on Trout Creek in 2009. Data from our study, and companion work by Washington Department of Fish and Wildlife (WDFW), are contributing to Bonneville Power Administration’s (BPA) Research Monitoring and Evaluation (RM&E) Program Strategy of Fish Population Status Monitoring (www.cbfish.org/ProgramStrategy.mvc/ViewProgramStrategySummary/1),  specifically the substrategies of: 1) Assessing the Status and Trends of Diversity of Natural Origin Fish Populations and to Uncertainties Research regarding differing life histories of a wild Steelhead population, 2) Assessing the Status and Trend of Adult Natural Origin Fish Populations, and 3) Monitoring and Evaluating the Effectiveness of Tributary Habitat Actions Relative to Environmental, Physical, or Biological Performance Objectives. Our headwaters parr PIT tagging, WDFW parr, smolt, and adult tagging and our instream PTISs are providing data movements and life histories of parr, smolt, and adult Steelhead. During summer 2017, we PIT-tagged age-0 and age-1 Steelhead parr in headwater areas of the Wind River subbasin to characterize population traits and investigate life-history diversity, including growth and pre-smolt downstream movement. Repeat sampling and smolt traps provide opportunities for recapture, and instream PTISs and Columbia River infrastructure provide opportunity for detection of PIT-tagged fish. Throughout the year, we maintained a series of instream PTISs to monitor movement of tagged Steelhead parr, smolts, and adults. This included adding the second array to our upper Wind River PITS, increasing solar capacity and adding improved power cables to some sites. Detections at the instream PTISs have demonstrated trends of age-0 and age-1 parr emigration from natal areas during summer and fall, in addition to the expected movement of parr and smolts in spring. These data are increasing our understanding of varied life histories of juvenile Steelhead; paired with other Steelhead population work in the subbasin we hope to begin to understand factors which may influence parr movements. Long-term monitoring of PIT-tagged fish over multiple years is providing information on contribution of various life-history strategies to smolt production and adult returns.  Movements of PIT-tagged adult Steelhead were also recorded at instream PTISs. These data have allowed us to assess adult returns to tributary watersheds within the Wind River subbasin. Determination of adult use of tributary watersheds is providing data to contribute to evaluation of the efficacy of the removal of Hemlock Dam on Trout Creek. Hemlock Dam, located at rkm 2.0 of Trout Creek was removed in summer 2009. The dam had had contributed to hydrologic impairment of Trout Creek and had potential negative effects on Steelhead. The improved upper Wind River PTIS (better site characteristics and grid power) will allow estimates of subbasin adult escapement upstream of that site. Evaluating and planning restoration efforts are of interest to many managers and agencies to ensure efficient use of resources. The evaluation of various life-histories of Lower Columbia River Steelhead within the Wind River subbasin will provide information to better track populations, and to direct habitat restoration and water allocation planning. Increasingly detailed Viable Salmonid Population information, such as that provided by PIT-tagging and instream PTISs networks like those we operate in the Wind River subbasin, will provide data to inform policy and management, as life-history strategies and production bottlenecks are identified and understood.

","language":"English","publisher":"Bonneville Power Administration","collaboration":"Bonneville Power Administration","usgsCitation":"Jezorek, I., 2019, Wind River subbasin restoration annual report of USGS activities January 2017 through December 2017, 53 p.","productDescription":"53 p.","startPage":"1","endPage":"53","ipdsId":"IP-101368","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":366100,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366091,"type":{"id":11,"text":"Document"},"url":"https://www.cbfish.org/Document.mvc/DocumentViewer/P164011/80611-1.pdf"}],"country":"United States","state":"Washington","otherGeospatial":"Wind River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.963568,45.751448 ], [ -121.963568,45.969903 ], [ -121.787086,45.969903 ], [ -121.787086,45.751448 ], [ -121.963568,45.751448 ] ] ] } } ] }","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jezorek, Ian 0000-0002-3842-3485","orcid":"https://orcid.org/0000-0002-3842-3485","contributorId":217811,"corporation":false,"usgs":true,"family":"Jezorek","given":"Ian","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":767569,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70203749,"text":"70203749 - 2019 - El Niño increases high‐tide flooding in tidal wetlands along the U.S. Pacific coast.","interactions":[],"lastModifiedDate":"2019-06-07T15:46:00","indexId":"70203749","displayToPublicDate":"2018-09-17T15:39:38","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"El Niño increases high‐tide flooding in tidal wetlands along the U.S. Pacific coast.","docAbstract":"Periodic oscillations between El Niño and La Niña conditions in the Pacific Basin affect oceanographic and meteorological phenomena globally, with impacts on the abundance and distribution of marine species. However, El Niño effects on estuarine hydrology and tidal wetland processes have seldom been examined rigorously. We used detailed wetland elevation and local inundation data from 10 tidal wetlands located along the Pacific coast of the United States to assess changes in flooding during the 2015–2016 El Niño and to determine decadal‐scale relationships between estuarine sea‐level anomalies and Pacific Basin climate indices for this region. During the 2015–2016 El Niño all sites experienced significant increases in high‐tide water levels exceeding those predicted by astronomical tides, and increased flooding frequency during at least one of the El Niño subperiods relative to pre‐El Niño conditions. The magnitude of positive sea‐level anomalies varied by site (4–15 cm), with local hot spots of high water in southern Oregon, northern California, and Pt. Mugu lagoon in the Southern California Bight. Furthermore, over the last three decades of historic tide records, there were positive relationships between high‐tide sea‐level anomalies and equatorial Pacific Basin sea surface temperature anomalies across the region, and negative relationships with the Northern Oscillation Index. Increases of 1 °C in equatorial sea surface temperature were associated with 3–5 cm of increased high‐tide flooding at the sites. Elevated estuarine flooding associated with future El Niños could impact important tidal wetland processes and could be an additive stressor for wetlands facing accelerating sea‐level rise.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JG004677","usgsCitation":"Goodman, A., Thorne, K., Buffington, K., Freeman, C.M., and Janousek, C.N., 2019, El Niño increases high‐tide flooding in tidal wetlands along the U.S. Pacific coast.: Journal of Geophysical Research, v. 123, no. 10, p. 3162-3177, https://doi.org/10.1029/2018JG004677.","productDescription":"16 p.","startPage":"3162","endPage":"3177","ipdsId":"IP-101364","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":468091,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jg004677","text":"Publisher Index Page"},{"id":364528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","otherGeospatial":"Pacific Coast","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -128.408203125,\n 48.922499263758255\n ],\n [\n -125.24414062499999,\n 40.58058466412761\n ],\n [\n -122.6953125,\n 35.96022296929667\n ],\n [\n -118.30078125,\n 32.32427558887655\n ],\n [\n -115.927734375,\n 32.54681317351514\n ],\n [\n -118.91601562499999,\n 35.817813158696616\n ],\n [\n -122.78320312499999,\n 40.64730356252251\n ],\n [\n -122.958984375,\n 48.22467264956519\n ],\n [\n -128.408203125,\n 48.922499263758255\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"123","issue":"10","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Goodman, Arianna 0000-0001-6156-7949","orcid":"https://orcid.org/0000-0001-6156-7949","contributorId":216130,"corporation":false,"usgs":false,"family":"Goodman","given":"Arianna","email":"","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":763948,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thorne, Karen M. 0000-0002-1381-0657","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":204579,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":763947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buffington, Kevin J. 0000-0001-9741-1241 kbuffington@usgs.gov","orcid":"https://orcid.org/0000-0001-9741-1241","contributorId":4775,"corporation":false,"usgs":true,"family":"Buffington","given":"Kevin","email":"kbuffington@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":763949,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Freeman, Chase M. 0000-0003-4211-6709 cfreeman@usgs.gov","orcid":"https://orcid.org/0000-0003-4211-6709","contributorId":150052,"corporation":false,"usgs":true,"family":"Freeman","given":"Chase","email":"cfreeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":763950,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Janousek, Christopher N. 0000-0003-2124-6715","orcid":"https://orcid.org/0000-0003-2124-6715","contributorId":103951,"corporation":false,"usgs":false,"family":"Janousek","given":"Christopher","email":"","middleInitial":"N.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":763951,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70202927,"text":"70202927 - 2019 - Evaluating the relationship among wetland vertical development, elevation capital, sea-level rise and tidal marsh sustainability","interactions":[],"lastModifiedDate":"2019-04-05T12:51:10","indexId":"70202927","displayToPublicDate":"2018-08-20T12:17:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the relationship among wetland vertical development, elevation capital, sea-level rise and tidal marsh sustainability","docAbstract":"

Accelerating sea-level rise and human impacts to the coast (e.g., altered sediment supply and hydrology, nutrient loading) influence the accumulation of sediment and organic matter, and thereby impact the ability of coastal tidal wetlands to maintain an elevation consistently within the vegetation growth range. Critical components of marsh sustainability are the marsh elevation within the vegetation growth range (elevation capital) and the rates of marsh surface elevation change and relative sea-level rise. The relationship among these factors and their combined influence on marsh integrity were evaluated by comparing trends in surface elevation change on five salt marsh sites located on three marsh islands in Jamaica Bay, NY, USA. All marsh sites were located in a similar physical setting (i.e., tidal range, sea-level rise rate, sediment supply). The structural integrity of the marshes ranged from densely vegetated (high integrity) to severely deteriorated (low integrity) with elevation capital ranging from high to low, respectively, and included a deteriorating marsh site that was partially restored. Two marshes with high elevation capital maintained their relative position high within the tidal range through a combination of surface sediment deposition and shallow subsurface expansion, and kept pace with local sea-level rise. A marsh with moderate elevation capital showed signs of flooding stress and was deteriorating, but managed to keep pace with local sea-level rise. The deteriorated marsh gained no elevation over the 14-year study and was located too low within the tidal range to support continuous coverage of salt marsh vegetation. Elevation gain in the restored marsh initially lagged behind sea-level rise for 8 years, but the elevation trend recovered and kept pace with sea-level rise for the last 5 years. A conceptual model is presented that describes the relationship among elevation capital, and rates of marsh elevation gain and sea-level rise. Note that a search for factors influencing wetland loss should focus on process changes to marsh vertical development (e.g., sediment supply, vegetation growth) and climate change effects (e.g., sea-level and temperature rise) that can cause elevation gain to lag behind sea-level rise, and these occur prior to the onset of marsh deterioration.

","language":"English","publisher":"Springer","doi":"10.1007/s12237-018-0448-x","usgsCitation":"Cahoon, D.R., Lynch, J.C., Roman, C.T., Schmit, J.P., and Skidds, D.E., 2019, Evaluating the relationship among wetland vertical development, elevation capital, sea-level rise and tidal marsh sustainability: Estuaries and Coasts, v. 42, no. 1, p. 1-15, https://doi.org/10.1007/s12237-018-0448-x.","productDescription":"15 p.","startPage":"1","endPage":"15","ipdsId":"IP-096276","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":488794,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.uri.edu/nrs_facpubs/709","text":"External Repository"},{"id":362801,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","city":"New York","otherGeospatial":"Jamaica Bay","geographicExtents":"{\n \"type\": 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40.584365444045716\n ],\n [\n -73.87910842895508,\n 40.580454288594815\n ],\n [\n -73.88666152954102,\n 40.577194817692025\n ],\n [\n -73.88099670410156,\n 40.56937143958841\n ],\n [\n -73.87344360351562,\n 40.57224011776902\n ],\n [\n -73.86228561401366,\n 40.57758596258557\n ],\n [\n -73.85112762451172,\n 40.582149150701824\n ],\n [\n -73.84151458740234,\n 40.582149150701824\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Cahoon, Donald R. 0000-0002-2591-5667 dcahoon@usgs.gov","orcid":"https://orcid.org/0000-0002-2591-5667","contributorId":3791,"corporation":false,"usgs":true,"family":"Cahoon","given":"Donald","email":"dcahoon@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":760500,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lynch, James C.","contributorId":179352,"corporation":false,"usgs":false,"family":"Lynch","given":"James","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":760501,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roman, Charles T.","contributorId":214654,"corporation":false,"usgs":false,"family":"Roman","given":"Charles","email":"","middleInitial":"T.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":760502,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmit, John Paul","contributorId":214655,"corporation":false,"usgs":false,"family":"Schmit","given":"John","email":"","middleInitial":"Paul","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":760503,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Skidds, Dennis E.","contributorId":202237,"corporation":false,"usgs":false,"family":"Skidds","given":"Dennis","email":"","middleInitial":"E.","affiliations":[{"id":36381,"text":"National Park Service Northeast Coastal and Barrier Network","active":true,"usgs":false}],"preferred":false,"id":760504,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203045,"text":"70203045 - 2019 - Tools for managing hydrologic alteration on a regional scale II: Setting targets to protect stream health","interactions":[],"lastModifiedDate":"2019-04-15T11:06:56","indexId":"70203045","displayToPublicDate":"2018-08-15T11:06:40","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Tools for managing hydrologic alteration on a regional scale II: Setting targets to protect stream health","docAbstract":"Widespread hydrologic alteration creates a need for tools to assess ecological impacts to streams that can be applied across large geographic scales. A regional framework for biologically based flow management can help catchment managers prioritise streams for protection, evaluate impacts of disturbance or interventions and provide a starting point for causal assessment in degraded streams. However, lack of flow data limit the ability to assess hydrologic conditions across a region.\nHydrologic models can address this problem. Regionally calibrated hydrologic models were used to estimate current and reference flows at 572 bioassessment sites in southern and central coastal California. Flow alteration was characterised as the difference in 39 flow metrics calculated from simulations of present‐day and reference flow time‐series, calculated under up to four precipitation conditions.\nBiological condition was assessed with the California Stream Condition Index (CSCI) and its components. Logistic regressions were used to predict the likelihood of high scores (i.e. ≥10th percentile of the CSCI reference calibration data). Statistically significant relationships between increasing severity of hydrologic alteration and decreasing biological condition were used to set thresholds that reflected tolerance for risk of a stakeholder advisory group.\nAn index of hydrologic alteration was created by selecting flow metrics based on their importance for predicting biological response variables in boosted regression tree models. Metrics were selected in the order of decreasing importance, and no more than two metrics per metric class were selected (i.e. duration, frequency, magnitude, timing and variability). Seven metrics were selected: HighDur (duration of high‐flow events), HighNum (# of high‐flow events), NoDisturb (duration between high‐ or low‐flow events), MaxMonthQ (maximum monthly discharge), Q99 (99th percentile of daily streamflow), QmaxIDR (interdecile range of annual maxima) and RBI (Richards–Baker Index).\nApplying the index to data from a probabilistic survey, 34% of stream‐miles in southern California were estimated to be hydrologically altered. One of four management priorities were assigned to each site based on biological condition and hydrologic status: protection (healthy and unaltered, 52% of stream‐miles), monitoring (healthy but altered 4%), evaluation of flow management (unhealthy and altered, 30%) and evaluation of other management (unhealthy but unaltered, 14%).\nRegionally derived biologically based targets for flow alteration allow catchment managers to prioritise activities and conduct screenings for causal assessments across large spatial scales. Furthermore, regional tools pave the way for incorporation of hydrologic management in policies and catchment planning designed to support biological integrity in streams. Development of regional tools should be a priority where hydrologic alteration is pervasive or expected to increase in response to climate change or urbanisation.","language":"English","publisher":"Wiley","doi":"10.1111/fwb.13062","usgsCitation":"Mazor, R.D., May, J.T., Sengupta, A., McCune, K.S., Bledsoe, B.P., and Stein, E.D., 2019, Tools for managing hydrologic alteration on a regional scale II: Setting targets to protect stream health: Freshwater Biology, v. 63, no. 8, p. 786-803, https://doi.org/10.1111/fwb.13062.","productDescription":"18 p.","startPage":"786","endPage":"803","ipdsId":"IP-083790","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":362952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"63","issue":"8","edition":"Special","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Mazor, Raphael D.","contributorId":173011,"corporation":false,"usgs":false,"family":"Mazor","given":"Raphael","email":"","middleInitial":"D.","affiliations":[{"id":12704,"text":"Southern California Coastal Water Research Project","active":true,"usgs":false}],"preferred":false,"id":760924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"May, Jason T. 0000-0002-5699-2112 jasonmay@usgs.gov","orcid":"https://orcid.org/0000-0002-5699-2112","contributorId":617,"corporation":false,"usgs":true,"family":"May","given":"Jason","email":"jasonmay@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":760925,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sengupta, Ashmita","contributorId":214836,"corporation":false,"usgs":false,"family":"Sengupta","given":"Ashmita","email":"","affiliations":[{"id":12704,"text":"Southern California Coastal Water Research Project","active":true,"usgs":false}],"preferred":false,"id":760926,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCune, Kenneth S.","contributorId":214837,"corporation":false,"usgs":false,"family":"McCune","given":"Kenneth","email":"","middleInitial":"S.","affiliations":[{"id":12704,"text":"Southern California Coastal Water Research Project","active":true,"usgs":false}],"preferred":false,"id":760927,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bledsoe, Brian P.","contributorId":140605,"corporation":false,"usgs":false,"family":"Bledsoe","given":"Brian","email":"","middleInitial":"P.","affiliations":[{"id":13538,"text":"Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":760928,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stein, Eric D.","contributorId":198848,"corporation":false,"usgs":false,"family":"Stein","given":"Eric","email":"","middleInitial":"D.","affiliations":[{"id":12704,"text":"Southern California Coastal Water Research Project","active":true,"usgs":false}],"preferred":false,"id":760929,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70203204,"text":"70203204 - 2019 - Recent advances in environmental flows science and water management—Innovation in the Anthropocene","interactions":[],"lastModifiedDate":"2019-04-29T08:36:56","indexId":"70203204","displayToPublicDate":"2018-08-01T08:36:02","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Recent advances in environmental flows science and water management—Innovation in the Anthropocene","docAbstract":"
  1. The implementation of environmental flow regimes offers a promising means to protect and restore riverine, wetland and estuarine ecosystems, their critical environmental services and cultural/societal values.
  2. This Special Issue expands the scope of environmental flows and water science in theory and practice, offering 20 papers from academics, agency researchers and non‐governmental organisations, each with fresh perspectives on the science and management of environmental water allocations.
  3. Contributions confront the grand challenge for environmental flows and water management in the Anthropocene—the urgent need for innovations that will help to sustain the innate resilience of social–ecological systems under dynamic and uncertain environmental and societal futures.
  4. Basin‐scale and regional assessments of flow requirements mark a necessary advance in environmental water science in the face of rapid changes in water‐resource management activities worldwide (e.g. increases in dams, diversions, retention and reuse). Techniques for regional‐scale hydrological and ecohydrological modelling support ecological risk assessment and identification of priority flow management and river restoration actions.
  5. Changing flood–drought cycles, long‐term climatic shifts and associated effects on hydrological, thermal and water quality regimes add enormous uncertainty to the prediction of future ecological outcomes, regardless of environmental water allocations. An improved capacity to predict the trajectories of ecological change in rivers degraded by legacies of past impact interacting with current conditions and future climate change is essential. Otherwise, we risk unrealistic expectations from restoration of river and estuarine flow regimes.
  6. A more robust, dynamic and predictive approach to environmental water science is emerging. It encourages the measurement of process rates (e.g. birth rate, colonisation rate) and species traits (e.g. physiological requirements, morphological adaptations) as well as ecosystem states (e.g. species richness, assemblage structure), as the variables representing ecological responses to flow variability and environmental water allocations. Another necessary development is the incorporation of other environmental variables such as water temperature and sedimentary processes in flow–ecological response models.
  7. Based on contributions to this Special Issue, several recent compilations and the wider literature, we identify six major scientific challenges for further exploration, and seven themes for advancing the management of environmental water. We see the emerging frontier of environmental flows and water science as urgent and challenging, with numerous opportunities for reinvigorated science and methodological innovation in the expanding enterprise of environmental water linked to ecological sustainability and social well‐being.
","language":"English","publisher":"Wiley","doi":"10.1111/fwb.13108","usgsCitation":"Angela H Arthington, Kennen, J., Eric D. Stein, and J. Angus Webb, 2019, Recent advances in environmental flows science and water management—Innovation in the Anthropocene: Freshwater Biology, v. 63, no. 8, p. 1022-1034, https://doi.org/10.1111/fwb.13108.","productDescription":"13 p.","startPage":"1022","endPage":"1034","ipdsId":"IP-091888","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":468113,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/fwb.13108","text":"Publisher Index Page"},{"id":363284,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"63","issue":"8","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Angela H Arthington","contributorId":215103,"corporation":false,"usgs":false,"family":"Angela H Arthington","affiliations":[{"id":39176,"text":"Australian Rivers Institute, Griffith University, Nathan, Queensland 4111, Australia","active":true,"usgs":false}],"preferred":false,"id":761637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennen, Jonathan","contributorId":215102,"corporation":false,"usgs":true,"family":"Kennen","given":"Jonathan","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":761636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eric D. Stein","contributorId":215089,"corporation":false,"usgs":false,"family":"Eric D. Stein","affiliations":[{"id":39174,"text":"Southern California Coastal Water Research Project, 3535 Harbor Blvd., Suite 110, Costa Mesa, CA 92626-1437, United States","active":true,"usgs":false}],"preferred":false,"id":761638,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"J. Angus Webb","contributorId":215090,"corporation":false,"usgs":false,"family":"J. Angus Webb","affiliations":[{"id":39175,"text":"The University of Melbourne, Department of Infrastructure Engineering, Parkville 3010, Australia","active":true,"usgs":false}],"preferred":false,"id":761639,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70200426,"text":"70200426 - 2019 - Desert wetlands record hydrologic variability within the Younger Dryas chronozone, Mojave Desert, USA","interactions":[],"lastModifiedDate":"2023-03-27T22:46:23.462905","indexId":"70200426","displayToPublicDate":"2018-04-04T10:43:19","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Desert wetlands record hydrologic variability within the Younger Dryas chronozone, Mojave Desert, USA","docAbstract":"

One of the enduring questions in the field of paleohydrology is how quickly desert wetland ecosystems responded to past episodes of abrupt climate change. Recent investigations in the Las Vegas Valley of southern Nevada have revealed that wetlands expanded and contracted on millennial and sub-millennial timescales in response to changes in climate during the late Quaternary. Here, we evaluate geologic evidence from multiple localities in the Mojave Desert and southern Great Basin that suggests the response of wetland systems to climate change is even faster, occurring at centennial, and possibly decadal, timescales. Paleowetland deposits at Dove Springs Wash, Mesquite Springs, and Little Dixie Wash, California, contain evidence of multiple wet and dry cycles in the form of organic-rich black mats, representing periods of past groundwater discharge and wet conditions, interbedded with colluvial, alluvial, and aeolian sediments, each representing dry conditions. Many of these wet-dry cycles date to within the Younger Dryas (YD) chronozone (12.9–11.7 ka), marking the first time intra-YD hydrologic variability has been documented in paleowetland deposits. Our results illustrate that desert wetland ecosystems are exceptionally sensitive to climate change and respond to climatic perturbations on timescales that are relevant to human society.

","language":"English","publisher":"Cambridge University Press","doi":"10.1017/qua.2018.14","usgsCitation":"Pigati, J.S., Springer, K.B., and Honke, J.S., 2019, Desert wetlands record hydrologic variability within the Younger Dryas chronozone, Mojave Desert, USA: Quaternary Research, v. 91, no. 1, p. 51-62, https://doi.org/10.1017/qua.2018.14.","productDescription":"12 p.","startPage":"51","endPage":"62","ipdsId":"IP-091234","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":358470,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Nevada","otherGeospatial":"Mojave Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119,\n 34\n ],\n [\n -113,\n 34\n ],\n [\n -113,\n 37\n ],\n [\n -119,\n 37\n ],\n [\n -119,\n 34\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"91","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-04","publicationStatus":"PW","scienceBaseUri":"5bed4274e4b0b3fc5cf91c94","contributors":{"authors":[{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219 jpigati@usgs.gov","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":201167,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey","email":"jpigati@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":748781,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Springer, Kathleen B. 0000-0002-2404-0264 kspringer@usgs.gov","orcid":"https://orcid.org/0000-0002-2404-0264","contributorId":149826,"corporation":false,"usgs":true,"family":"Springer","given":"Kathleen","email":"kspringer@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":748782,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Honke, Jeffrey S. 0000-0003-4357-9297 jhonke@usgs.gov","orcid":"https://orcid.org/0000-0003-4357-9297","contributorId":201389,"corporation":false,"usgs":true,"family":"Honke","given":"Jeffrey","email":"jhonke@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":748783,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70205109,"text":"70205109 - 2019 - A new indicator framework for quantifying the intensity of the terrestrialwater cycle","interactions":[],"lastModifiedDate":"2019-09-03T15:14:53","indexId":"70205109","displayToPublicDate":"2018-04-02T15:10:30","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"A new indicator framework for quantifying the intensity of the terrestrialwater cycle","docAbstract":"A quantitative framework for characterizing the intensity of the water cycle over land is presented, and illustrated using a spatially distributed water-balance model of the conterminous United States (CONUS). We approach water cycle intensity (WCI) from a landscape perspective; WCI is defined as the sum of precipitation (P) and actual evapotranspiration (AET) over a spatially explicit landscape unit of interest, averaged over a specified time period (step) of interest. The time step may be of any length for which data or simulation results are available (e.g., sub-daily to multi-decadal). We define the storage-adjusted runoff (Q0) as the sum of actual runoff (Q) and the rate of change in soil moisture storage (DS/Dt, positive or negative) during the time step of interest. The Q0 indicator is demonstrated to be mathematically complementary to WCI, in a manner that allows graphical interpretation of their relationship. For the purposes of this study, the indicators were demonstrated using long-term, spatially distributed model simulations with an annual time step. WCI was found to increase over most of the CONUS between the 1945 to 1974 and 1985 to 2014 periods, driven primarily by increases in P. In portions of the western and southeastern CONUS, Q0 decreased because of decreases in Q and soil moisture storage. Analysis of WCI and Q0 at temporal scales ranging from sub-daily to multi-decadal could improve understanding of the wide spectrum of hydrologic responses that have been attributed to water cycle intensification, as well as trends in those responses.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2018.02.048","usgsCitation":"Huntington, T.G., Weiskel, P., Wolock, D.M., and McCabe, G.J., 2019, A new indicator framework for quantifying the intensity of the terrestrialwater cycle: Journal of Hydrology, v. 559, p. 361-372, https://doi.org/10.1016/j.jhydrol.2018.02.048.","productDescription":"12 p.","startPage":"361","endPage":"372","ipdsId":"IP-070433","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":367152,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"MultiPolygon\",\n \"coordinates\": [\n [\n [\n [\n -94.81758,\n 49.38905\n ],\n [\n -94.64,\n 48.84\n ],\n [\n -94.32914,\n 48.67074\n ],\n [\n -93.63087,\n 48.60926\n ],\n [\n -92.61,\n 48.45\n ],\n [\n -91.64,\n 48.14\n ],\n [\n -90.83,\n 48.27\n ],\n [\n -89.6,\n 48.01\n ],\n [\n -89.27292,\n 48.01981\n ],\n [\n -88.37811,\n 48.30292\n ],\n [\n -87.43979,\n 47.94\n ],\n [\n -86.46199,\n 47.55334\n ],\n [\n -85.65236,\n 47.22022\n ],\n [\n -84.87608,\n 46.90008\n ],\n [\n -84.77924,\n 46.6371\n ],\n [\n -84.54375,\n 46.53868\n ],\n [\n -84.6049,\n 46.4396\n ],\n [\n -84.3367,\n 46.40877\n ],\n [\n -84.14212,\n 46.51223\n ],\n [\n -84.09185,\n 46.27542\n ],\n [\n 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USA)","interactions":[],"lastModifiedDate":"2019-07-08T10:45:38","indexId":"70204119","displayToPublicDate":"2018-01-25T10:31:21","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Stream mercury export in response to contemporary timber harvesting methods (Pacific Coastal Mountains, Oregon, USA)","docAbstract":"Land-use activities can alter hydrological and biogeochemical processes that can affect the fate, transformation, and transport of mercury (Hg). Previous studies in boreal forests have shown that forestry operations can have profound, but variable effects on Hg export and methylmercury (MeHg) formation. The Pacific Northwest is an important timber producing region that receives large atmospheric Hg loads, but the impact of forest harvesting on Hg mobilization has not been directly studied and was the focus of our investigation. Stream discharge was measured continuously and Hg and MeHg concentrations measured monthly for 1.5 years following logging in three paired harvested and un-harvested catchments. There was no significant difference in particulate-bound Hg concentrations or loads in the harvested and unharvested catchments which may have resulted from the best management practices aimed at minimizing erosion. However, the harvested catchments had significantly higher discharge (32%), filtered Hg concentrations (28%), filtered Hg loads (80%), and dissolved organic carbon (DOC) loads (40%) compared to forested catchments. MeHg concentrations were low (mostly <0.05 ng L-1) in both harvested, un-harvested and downstream samples due to well-drained/unsaturated soil conditions and steep slopes with high energy eroding stream channels that were not conducive to the development of anoxic conditions. These results have important implications for the role forestry operations have in affecting catchment retention and export of Hg pollution.","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.7b05197","usgsCitation":"Eckley, C.S., Eagles-Smith, C.A., Tate, M., Kowalski, B., Danehy, R., Johnson, S.L., and Krabbenhoft, D.P., 2019, Stream mercury export in response to contemporary timber harvesting methods (Pacific Coastal Mountains, Oregon, USA): Environmental Science & Technology, v. 52, no. 4, p. 1971-1980, https://doi.org/10.1021/acs.est.7b05197.","productDescription":"10 p.","startPage":"1971","endPage":"1980","ipdsId":"IP-091443","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - 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