{"pageNumber":"73","pageRowStart":"1800","pageSize":"25","recordCount":16446,"records":[{"id":70202209,"text":"70202209 - 2019 - River‐valley morphology, basin size, and flow‐event magnitude interact to produce wide variation in flooding dynamics","interactions":[],"lastModifiedDate":"2019-02-14T12:37:40","indexId":"70202209","displayToPublicDate":"2019-02-14T12:37:37","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"River‐valley morphology, basin size, and flow‐event magnitude interact to produce wide variation in flooding dynamics","docAbstract":"<p><span>Inundation dynamics are a key driver of ecosystem form and function in river‐valley bottoms. Inundation itself is an outcome of multi‐scalar interactions and can vary strongly within and among river reaches. As a result, establishing to what degree and how inundation dynamics vary spatially both within and among river reaches can be challenging. The objective of this study was to understand how river‐valley morphology, basin size, and flow‐event magnitude interact to affect inundation dynamics in river‐valley bottoms. We used 2D hydraulic models to simulate inundation in four river reaches from Maryland's Piedmont physiographic province, and qualitatively and quantitatively summarized within‐ and among‐reach patterns of inundation extent, duration, depth, shear stress, and wetting frequencies. On average, reaches from confined valley settings experienced less extensive flooding, shorter durations and shallower depths, stronger gradients of maximum shear stress, and relatively infrequent wetting compared to reaches from unconfined settings. These patterns were generally consistent across flow‐event magnitudes. Patterns of within‐reach flooding across event magnitudes revealed complex interactions between hydrology and surface topography. We concluded that valley morphology had a greater impact on flooding patterns than basin size: Inundation patterns were more consistent across reaches of similar morphology than similar basin size, but absolute values of inundation characteristics varied between large and small basins. Our results showed that the manifestation of out‐of‐bank flows in valley floors can vary widely depending on geomorphic context, even within a single physiographic province, which suggests that hydrologic and hydraulic conditions experienced on the valley floor may not be well represented by existing hydrologic metrics derived from discharge data alone. We thus support the notion that 2D hydraulic models can be useful hydrometric tools for cross‐scale investigations of floodplain ecosystems.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2546","usgsCitation":"Van Appledorn, M., Baker, M.E., and Miller, A.J., 2019, River‐valley morphology, basin size, and flow‐event magnitude interact to produce wide variation in flooding dynamics: Ecosphere, v. 10, no. 1, p. 1-25, https://doi.org/10.1002/ecs2.2546.","productDescription":"Article e02546; 25 p.","startPage":"1","endPage":"25","ipdsId":"IP-096187","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":467905,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2546","text":"Publisher Index Page"},{"id":437572,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ITQTNQ","text":"USGS data release","linkHelpText":"Complex interactions among river-valley morphology, basin size, and flow-event magnitude structure the physical template of floodplain ecosystems. Data"},{"id":361256,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Chesapeake Bay Watershed","volume":"10","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Appledorn, Molly 0000-0002-8029-0014","orcid":"https://orcid.org/0000-0002-8029-0014","contributorId":205785,"corporation":false,"usgs":true,"family":"Van Appledorn","given":"Molly","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":757248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, Matthew E.","contributorId":149189,"corporation":false,"usgs":false,"family":"Baker","given":"Matthew","email":"","middleInitial":"E.","affiliations":[{"id":17665,"text":"Department of Geography and Environmental Systems, University of Maryland, Baltimore County, Baltimore, Maryland, US","active":true,"usgs":false}],"preferred":false,"id":757249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Andrew J.","contributorId":207595,"corporation":false,"usgs":false,"family":"Miller","given":"Andrew","email":"","middleInitial":"J.","affiliations":[{"id":15309,"text":"University of Maryland Baltimore County","active":true,"usgs":false}],"preferred":false,"id":757250,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70202211,"text":"70202211 - 2019 - Negligible cycling of terrestrial carbon in many lakes of the arid circumpolar landscape","interactions":[],"lastModifiedDate":"2020-10-22T20:19:11.915378","indexId":"70202211","displayToPublicDate":"2019-02-14T12:25:38","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Negligible cycling of terrestrial carbon in many lakes of the arid circumpolar landscape","docAbstract":"<p><span>High-latitude environments store nearly half of the planet’s below-ground organic carbon (OC), mostly in perennially frozen permafrost soils. Climatic changes drive increased export of terrestrial OC into many aquatic networks, yet the role that circumpolar lakes play in mineralizing this carbon is unclear. Here we directly evaluate ecosystem-scale OC cycling for lakes of interior Alaska. This arid, low-relief lake landscape is representative of over a quarter of total northern circumpolar lake area, but is greatly under-represented in current studies. Contrary to projections based on work in other regions, the studied lakes had a negligible role in mineralizing terrestrial carbon; they received little OC from ancient permafrost soils, and had small net contribution to the watershed carbon balance. Instead, most lakes recycled large quantities of internally derived carbon fixed from atmospheric CO</span><sub>2</sub><span>, underscoring their importance as critical sites for material and energy provision to regional food webs. Our findings deviate from the prevailing paradigm that northern lakes are hotspots of terrestrial OC processing. The shallow and hydrologically disconnected nature of lakes in many arid circumpolar landscapes isolates them from terrestrial carbon processing under current climatic conditions.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41561-019-0299-5","usgsCitation":"Bogard, M.J., Kuhn, C.D., Johnston, S.E., Striegl, R.G., Holtgrieve, G.W., Dornblaser, M.M., Spencer, R.G., Wickland, K.P., and Butman, D.E., 2019, Negligible cycling of terrestrial carbon in many lakes of the arid circumpolar landscape: Nature Geoscience, v. 12, p. 180-185, https://doi.org/10.1038/s41561-019-0299-5.","productDescription":"6 p.","startPage":"180","endPage":"185","ipdsId":"IP-103032","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":361254,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Bogard, Matthew J. 0000-0001-9491-0328","orcid":"https://orcid.org/0000-0001-9491-0328","contributorId":213254,"corporation":false,"usgs":false,"family":"Bogard","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":757260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kuhn, Catherine D. 0000-0002-9220-630X","orcid":"https://orcid.org/0000-0002-9220-630X","contributorId":213255,"corporation":false,"usgs":false,"family":"Kuhn","given":"Catherine","email":"","middleInitial":"D.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":757261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnston, Sarah Ellen","contributorId":213256,"corporation":false,"usgs":false,"family":"Johnston","given":"Sarah","email":"","middleInitial":"Ellen","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":757262,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","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},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":757263,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holtgrieve, Gordon W. 0000-0002-4451-3567","orcid":"https://orcid.org/0000-0002-4451-3567","contributorId":213257,"corporation":false,"usgs":false,"family":"Holtgrieve","given":"Gordon","email":"","middleInitial":"W.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":757264,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dornblaser, Mark M. 0000-0002-6298-3757 mmdornbl@usgs.gov","orcid":"https://orcid.org/0000-0002-6298-3757","contributorId":1636,"corporation":false,"usgs":true,"family":"Dornblaser","given":"Mark","email":"mmdornbl@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":757265,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Spencer, Robert G. M.","contributorId":204174,"corporation":false,"usgs":false,"family":"Spencer","given":"Robert","email":"","middleInitial":"G. M.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":757266,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wickland, Kimberly P. 0000-0002-6400-0590 kpwick@usgs.gov","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":1835,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","email":"kpwick@usgs.gov","middleInitial":"P.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":757259,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Butman, David E.","contributorId":145535,"corporation":false,"usgs":false,"family":"Butman","given":"David","email":"","middleInitial":"E.","affiliations":[{"id":16142,"text":"School of Environmental and Forest Sciences & Environmental Engineering, University of Washington, Seattle","active":true,"usgs":false}],"preferred":false,"id":757267,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70202196,"text":"70202196 - 2019 - Factors affecting the occurrence of lead and manganese in untreated drinking water from Atlantic and Gulf Coastal Plain aquifers, eastern United States—Dissolved oxygen and pH framework for evaluating risk of elevated concentrations","interactions":[],"lastModifiedDate":"2019-02-14T10:19:07","indexId":"70202196","displayToPublicDate":"2019-02-14T10:19:04","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Factors affecting the occurrence of lead and manganese in untreated drinking water from Atlantic and Gulf Coastal Plain aquifers, eastern United States—Dissolved oxygen and pH framework for evaluating risk of elevated concentrations","docAbstract":"<p><span>Groundwater samples collected during 2012 and 2013 from public-supply wells screened in the Atlantic and Gulf Coastal Plain&nbsp;aquifers&nbsp;of the eastern and southeastern U.S. rarely contained lead or&nbsp;manganese&nbsp;concentrations that exceeded drinking-water limits, despite having corrosive characteristics. Data indicate that the occurrence of dissolved lead and manganese in sampled groundwater, prior to its distribution or treatment, was related to several explanatory factors including the presence of source minerals, hydrologic position along the flow path, water-rock interactions, and associated geochemical conditions such as pH and&nbsp;</span>dissolved oxygen<span>&nbsp;(DO) concentrations. Elevated concentrations of lead compared to health-based benchmarks were associated with groundwater that is acidic (pH ≤ 6.5), oxygenated (DO ≥ 2 mg/L), and closer to recharge zones (relatively young water). Elevated concentrations of manganese were associated with groundwater that is acidic to neutral (pH ≤ 7.5), has low DO (&lt;2 mg/L), and further from recharge zones (relatively old). Under these geochemical conditions, minerals that could sequester lead or manganese tended to be undersaturated, and adsorption by hydrous ferric oxide was limited. Under neutral to alkaline pH conditions, precipitation of impure&nbsp;calcium carbonate or phosphate&nbsp;compounds containing traces of lead or manganese (solid solutions) could maintain low concentrations of the&nbsp;trace elements. Additionally, adsorption of lead or manganese cations by hydrous ferric oxides (HFO) could be another attenuating factor where conditions are oxidizing and&nbsp;dissolved inorganic carbon&nbsp;concentrations are relatively low. A DO/pH framework was developed as a screening tool for evaluating risk of elevated lead or manganese, based on the occurrence of elevated lead and manganese concentrations and the corresponding distributions of DO and pH in the Atlantic and Gulf Coastal Plain aquifers. Validation of the DO/pH framework was accomplished using an independent national dataset that showed consistent results for elevated lead (pH ≤ 6.5; DO ≥ 2 mg/L) and manganese (pH ≤ 7.5; DO &lt; 2 mg/L).</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2018.10.017","usgsCitation":"Brown, C., Barlow, J.R., Cravotta, C., and Lindsey, B.D., 2019, Factors affecting the occurrence of lead and manganese in untreated drinking water from Atlantic and Gulf Coastal Plain aquifers, eastern United States—Dissolved oxygen and pH framework for evaluating risk of elevated concentrations: Applied Geochemistry, v. 101, p. 88-102, https://doi.org/10.1016/j.apgeochem.2018.10.017.","productDescription":"15 p.","startPage":"88","endPage":"102","ipdsId":"IP-086334","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":437574,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7MK6BCD","text":"USGS data release","linkHelpText":"Inventory of well-construction data, water-quality and quality control data, statistical data, and geochemical modeling data for wells in Atlantic and Gulf Coastal Plain aquifers, eastern United States, 2012 and 2013"},{"id":361243,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Atlantic and Gulf Coastal Plain aquifers","volume":"101","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brown, Craig J. 0000-0002-3858-3964","orcid":"https://orcid.org/0000-0002-3858-3964","contributorId":210450,"corporation":false,"usgs":true,"family":"Brown","given":"Craig J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757192,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barlow, Jeannie R. B. 0000-0002-0799-4656 jbarlow@usgs.gov","orcid":"https://orcid.org/0000-0002-0799-4656","contributorId":3701,"corporation":false,"usgs":true,"family":"Barlow","given":"Jeannie","email":"jbarlow@usgs.gov","middleInitial":"R. B.","affiliations":[{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757190,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cravotta, Charles A. III 0000-0003-3116-4684","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":207249,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles A.","suffix":"III","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757193,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lindsey, Bruce D. 0000-0002-7180-4319 blindsey@usgs.gov","orcid":"https://orcid.org/0000-0002-7180-4319","contributorId":175346,"corporation":false,"usgs":true,"family":"Lindsey","given":"Bruce","email":"blindsey@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":757191,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204249,"text":"70204249 - 2019 - Water salinity and inundation control soil carbon decomposition during salt marsh restoration: An incubation experiment","interactions":[],"lastModifiedDate":"2019-07-17T12:08:08","indexId":"70204249","displayToPublicDate":"2019-02-10T10:34:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Water salinity and inundation control soil carbon decomposition during salt marsh restoration: An incubation experiment","docAbstract":"<p><span>Coastal wetlands are a significant carbon (C) sink since they store carbon in anoxic soils. This ecosystem service is impacted by hydrologic alteration and management of these coastal habitats. Efforts to restore tidal flow to former salt marshes have increased in recent decades and are generally associated with alteration of water inundation levels and salinity. This study examined the effect of water level and salinity changes on soil organic matter decomposition during a 60‐day incubation period. Intact soil cores from impounded fresh water marsh and salt marsh were incubated after addition of either sea water or fresh water under flooded and drained water levels. Elevating fresh water marsh salinity to 6 to 9&nbsp;ppt enhanced CO</span><sub>2</sub><span>&nbsp;emission by 50%−80% and most typically decreased CH</span><sub>4</sub><span>&nbsp;emissions, whereas, decreasing the salinity from 26&nbsp;ppt to 19&nbsp;ppt in salt marsh soils had no effect on CO</span><sub>2</sub><span>&nbsp;or CH</span><sub>4</sub><span>&nbsp;fluxes. The effect from altering water levels was more pronounced with drained soil cores emitting ~10‐fold more CO</span><sub>2</sub><span>&nbsp;than the flooded treatment in both marsh sediments. Draining soil cores also increased dissolved organic carbon (DOC) concentrations. Stable carbon isotope analysis of CO</span><sub>2</sub><span>&nbsp;generated during the incubations of fresh water marsh cores in drained soils demonstrates that relict peat OC that accumulated when the marsh was saline was preferentially oxidized when sea water was introduced. This study suggests that restoration of tidal flow that raises the water level from drained conditions would decrease aerobic decomposition and enhance C sequestration. It is also possible that the restoration would increase soil C decomposition of deeper deposits by anaerobic oxidation, however this impact would be minimal compared to lower emissions expected due to the return of flooding conditions.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.4884","usgsCitation":"Wang, F., Kroeger, K.D., Gonneea Eagle, M., Pohlman, J.W., and Tang, J., 2019, Water salinity and inundation control soil carbon decomposition during salt marsh restoration: An incubation experiment: Ecology and Evolution, v. 9, no. 4, p. 1911-1921, https://doi.org/10.1002/ece3.4884.","productDescription":"11 p.","startPage":"1911","endPage":"1921","ipdsId":"IP-102619","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467920,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.4884","text":"Publisher Index Page"},{"id":365577,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"4","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Faming","contributorId":216959,"corporation":false,"usgs":false,"family":"Wang","given":"Faming","email":"","affiliations":[{"id":39553,"text":"The Ecosystems Center, Marine Biological Laboratory, Woods Hole, MA","active":true,"usgs":false}],"preferred":false,"id":766169,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kroeger, Kevin D. 0000-0002-4272-2349 kkroeger@usgs.gov","orcid":"https://orcid.org/0000-0002-4272-2349","contributorId":1603,"corporation":false,"usgs":true,"family":"Kroeger","given":"Kevin","email":"kkroeger@usgs.gov","middleInitial":"D.","affiliations":[{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"preferred":true,"id":766168,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gonneea Eagle, Meagan 0000-0001-5072-2755 mgonneea@usgs.gov","orcid":"https://orcid.org/0000-0001-5072-2755","contributorId":174590,"corporation":false,"usgs":true,"family":"Gonneea Eagle","given":"Meagan","email":"mgonneea@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":766170,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pohlman, John W. 0000-0002-3563-4586 jpohlman@usgs.gov","orcid":"https://orcid.org/0000-0002-3563-4586","contributorId":145771,"corporation":false,"usgs":true,"family":"Pohlman","given":"John","email":"jpohlman@usgs.gov","middleInitial":"W.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":766171,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tang, Jianwu","contributorId":174890,"corporation":false,"usgs":false,"family":"Tang","given":"Jianwu","email":"","affiliations":[{"id":27818,"text":"The Ecosystems Center, Marine Biological Laboratory. Woods Hole, MA 02543.","active":true,"usgs":false}],"preferred":false,"id":766172,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70201369,"text":"sir20185168 - 2019 - Response of vegetation in open and partially wooded fens to prescribed burning at Seney National Wildlife Refuge","interactions":[],"lastModifiedDate":"2019-02-08T12:30:37","indexId":"sir20185168","displayToPublicDate":"2019-02-07T18:01:06","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5168","displayTitle":"Response of Vegetation in Open and Partially Wooded Fens to Prescribed Burning at Seney National Wildlife Refuge","title":"Response of vegetation in open and partially wooded fens to prescribed burning at Seney National Wildlife Refuge","docAbstract":"<p>The health and function of northern peatlands, particularly for fens, are strongly affected by fire and hydrology. Fens are important to several avian species of conservation interest, notably the yellow rail (<i>Coturnicops noveboracensis</i>). Fire suppression and altered hydrology often result in woody encroachment, altering the plant community and structure. Woody encroachment and its effects on biodiversity have become an increasing concern in the conservation and management of plant communities. This study evaluated the effects of spring and summer prescribed burns on the plant community, cover, and structure in open and partially wooded fens at Seney National Wildlife Refuge, Michigan, using a before-after-control-impact design. Paired, 1-hectare blocks were established in two fen areas, C3 and Marsh Creek, and data were collected for 2 years before burning (2006–7) and 3 years after burning (2008–10). We used generalized linear mixed models and ordination to assess differences among four treatments: C3 control, C3 spring burn (May 2008), Marsh Creek control, and Marsh Creek summer burn (July 2008); results from a block burned under drier conditions in July 2007 also are reported. Variables include water depth; litter depth; graminoid height; species richness and diversity; percent cover of plant taxa, mosses, and open area; shrub height, number of patches, and cover; and visual obstruction readings. The 2008 prescribed burns were done under moderate fire conditions, whereas the 2007 summer burn on one block was done under high fire conditions because of prolonged drought. We identified 104 plant taxa over the 5 years and noted differences between C3 and Marsh Creek communities. We examined data for effects of treatment, year, and year × treatment interactions for percent open and the 28 most common taxa. Most differences among treatments were related to natural differences in the plant community and hydrology between the two areas rather than fire effects; year effects were likely related to annual differences in water conditions. We detected few effects of spring burning in C3, even in the same year of burning. In Marsh Creek, most treatment effects were in 2008, when data were collected within 3 weeks of burning. Some fire effects there, however, persisted one to two growing seasons (2009, 2010) and two to three growing seasons in the block burned in the more intense summer 2007 fire. Effects of burning on shrub measures were more apparent on summer-burned blocks, but most measures returned to preburn conditions by 2010. Our results demonstrate the heterogeneity of plant community and environmental conditions of fens within and among years and the interactions of water conditions with burning. The results also demonstrate that neither single spring nor summer burning under moderate fire conditions are effective in setting back woody cover. Maintaining more open conditions in fens may require different approaches to water management, more frequent fires, more aggressive fire management, or a combination of tools to control woody cover.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185168","usgsCitation":"Austin, J.E., and Newton, W.E., 2019, Response of vegetation in open and partially wooded fens to prescribed burning at Seney National Wildlife Refuge: U.S. Geological Survey Scientific Investigations Report 2018–5168, 62 p., https://doi.org/10.3133/sir20185168.","productDescription":"Report: viii, 62 p.; Data Release","numberOfPages":"74","onlineOnly":"Y","ipdsId":"IP-098588","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":361081,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5168/coverthb.jpg"},{"id":361083,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90P8VWJ","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Effects of fire on vegetation in fens at Seney National Wildlife Refuge"},{"id":361082,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5168/sir20185168.pdf","text":"Report","size":"5.82 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5168"}],"country":"United States","state":"Michigan","otherGeospatial":"Seney National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -86.26121520996094,\n              46.15724277677564\n            ],\n            [\n              -85.92681884765624,\n              46.15724277677564\n            ],\n            [\n              -85.92681884765624,\n              46.34289859337118\n            ],\n            [\n              -86.26121520996094,\n              46.34289859337118\n            ],\n            [\n              -86.26121520996094,\n              46.15724277677564\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/npwrc\" href=\"https://www.usgs.gov/centers/npwrc\">Northern Prairie Wildlife Research Center</a> <br>U.S. Geological Survey<br>8711 37th Street Southeast <br>Jamestown, ND 58401</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Study Area</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Rethinking Fire Management for Controlling Woody Encroachment in Fens</li><li>References Cited</li><li>Glossary</li><li>Appendix 1. Crosswalk Table of Taxonomy of Plant Species</li><li>References Cited</li><li>Appendix 2. Fire Conditions During Prescribed Burns at Marsh Creek, July 2007 and 2008, and C3, May 2008</li><li>References Cited</li><li>Appendix 3. Frequency of Occurrence of Plant Taxa by Block in C3 and Marsh Creek, Seney National Wildlife Refuge, 2006–10</li><li>Appendix 4. Frequency of Occurrence and Percent of Points (Summed Across Sampling Years) of Plant Taxa by Block in Marsh Creek, Seney National Wildlife Refuge, Michigan, 2006–10</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2019-02-07","noUsgsAuthors":false,"publicationDate":"2019-02-07","publicationStatus":"PW","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":753830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Newton, Wesley E. 0000-0002-1377-043X wnewton@usgs.gov","orcid":"https://orcid.org/0000-0002-1377-043X","contributorId":3661,"corporation":false,"usgs":true,"family":"Newton","given":"Wesley","email":"wnewton@usgs.gov","middleInitial":"E.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":753831,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70202024,"text":"70202024 - 2019 - A scale to characterize the strength and impacts of atmospheric rivers","interactions":[],"lastModifiedDate":"2019-02-06T16:08:40","indexId":"70202024","displayToPublicDate":"2019-02-06T16:08:36","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1112,"text":"Bulletin of the American Meteorological Society","onlineIssn":"1520-0477","printIssn":"0003-0007","active":true,"publicationSubtype":{"id":10}},"title":"A scale to characterize the strength and impacts of atmospheric rivers","docAbstract":"<p><span>Atmospheric rivers (ARs) play vital roles in the western United States and related regions globally, not only producing heavy precipitation and flooding, but also providing beneficial water supply. This paper introduces a scale for the intensity and impacts of ARs. Its utility may be greatest where ARs are the most impactful storm type and hurricanes, nor’easters, and tornadoes are nearly nonexistent. Two parameters dominate the hydrologic outcomes and impacts of ARs: vertically integrated water vapor transport (IVT) and AR duration [i.e., the duration of at least minimal AR conditions (IVT ≥ 250 kg m</span><sup>–1</sup><span>s</span><sup>–1</sup><span>)]. The scale uses an observed or predicted time series of IVT at a given geographic location and is based on the maximum IVT and AR duration at that point during an AR event. AR categories 1–5 are defined by thresholds for maximum IVT (3-h average) of 250, 500, 750, 1,000, and 1,250 kg m</span><sup>–1</sup><span>&nbsp;s</span><sup>–1</sup><span>, and by IVT exceeding 250 kg m</span><sup>–1</sup><span>&nbsp;s</span><sup>–1</sup><span>&nbsp;continuously for 24–48 h. If the AR event duration is less than 24 h, it is downgraded by one category. If it is longer than 48 h, it is upgraded one category. The scale recognizes that weak ARs are often mostly beneficial because they can enhance water supply and snowpack, while stronger ARs can become mostly hazardous, for example, if they strike an area with antecedent conditions that enhance vulnerability, such as burn scars or wet conditions. Extended durations can enhance impacts. Short durations can mitigate impacts.</span></p>","language":"English","publisher":"American Meteorological Society","doi":"10.1175/BAMS-D-18-0023.1","usgsCitation":"Ralph, F.M., Rutz, J.J., Cordeira, J.M., Dettinger, M.D., Anderson, M., Reynolds, D., Schick, L.J., and Smallcomb, C., 2019, A scale to characterize the strength and impacts of atmospheric rivers: Bulletin of the American Meteorological Society, v. 100, p. 269-289, https://doi.org/10.1175/BAMS-D-18-0023.1.","productDescription":"21 p.","startPage":"269","endPage":"289","ipdsId":"IP-087000","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":460493,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/bams-d-18-0023.1","text":"Publisher Index Page"},{"id":361063,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"100","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ralph, F. Martin","contributorId":150276,"corporation":false,"usgs":false,"family":"Ralph","given":"F.","email":"","middleInitial":"Martin","affiliations":[{"id":17953,"text":"Earth Systems Research Lab, NOAA","active":true,"usgs":false}],"preferred":false,"id":756745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rutz, Jonathan J.","contributorId":197886,"corporation":false,"usgs":false,"family":"Rutz","given":"Jonathan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":756747,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cordeira, Jason M.","contributorId":197889,"corporation":false,"usgs":false,"family":"Cordeira","given":"Jason","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":756746,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":149896,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael","email":"mddettin@usgs.gov","middleInitial":"D.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":756744,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Michael","contributorId":148971,"corporation":false,"usgs":false,"family":"Anderson","given":"Michael","affiliations":[],"preferred":false,"id":756749,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reynolds, David","contributorId":212855,"corporation":false,"usgs":false,"family":"Reynolds","given":"David","affiliations":[{"id":38693,"text":"Ret., National Weather Service","active":true,"usgs":false}],"preferred":false,"id":756751,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schick, Lawrence J.","contributorId":212853,"corporation":false,"usgs":false,"family":"Schick","given":"Lawrence","email":"","middleInitial":"J.","affiliations":[{"id":38692,"text":"Ret., US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":756748,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Smallcomb, Christopher","contributorId":212854,"corporation":false,"usgs":false,"family":"Smallcomb","given":"Christopher","email":"","affiliations":[{"id":12788,"text":"National Weather Service","active":true,"usgs":false}],"preferred":false,"id":756750,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70203384,"text":"70203384 - 2019 - POLARIS properties: 30-meter probabilistic maps of soil properties over the contiguous United States","interactions":[],"lastModifiedDate":"2019-06-18T11:59:46","indexId":"70203384","displayToPublicDate":"2019-02-05T13:02:25","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"POLARIS properties: 30-meter probabilistic maps of soil properties over the contiguous United States","docAbstract":"Soils play a critical role in the cycling of water, energy, and carbon in the Earth system. Until recently, due primarily to a lack of soil property maps of a sufficiently high‐quality and spatial detail, a minor emphasis has been placed on providing high‐resolution measured soil parameter estimates for land surface models and hydrologic models. This study introduces Probabilistic Remapping of SSURGO (POLARIS) soil properties—a database of 30‐m probabilistic soil property maps over the contiguous United States (CONUS). The mapped variables over CONUS include soil texture, organic matter, pH, saturated hydraulic conductivity, Brooks‐Corey and Van Genuchten water retention curve parameters, bulk density, and saturated water content. POLARIS soil properties was assembled by (1) depth harmonizing and aggregating the pedons in the National Cooperative Soil Survey Soil Characterization Database and the components in Soil Survey Geographic Database into a database of 21,481 different soil series, each soil series having its own vertical profiles of different soil properties, (2) pruning the original POLARIS soil series maps using conventional soil maps to improve soil series prediction accuracy, and (3) merging the assembled soil series databases with the pruned POLARIS soil series maps to construct the soil property maps over CONUS. POLARIS soil properties includes 100‐bin histograms for each layer and variable per grid cell and a series of summary statistics at 30‐, 300‐, and 3,000‐m spatial resolution. Evaluation of POLARIS soil properties using in situ measurements shows an average R2 of 0.41, normalized root‐mean‐square error of 12%, and a normalized mean absolute error of 8.8%.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018WR022797","usgsCitation":"Chaney, N.W., Minasny, B., Herman, J.D., Nauman, T.W., Brungard, C.W., Morgan, C.L., McBratney, A.B., Wood, E.F., and Yimam, Y., 2019, POLARIS properties: 30-meter probabilistic maps of soil properties over the contiguous United States: Water Resources Research, v. 55, no. 4, p. 2916-2938, https://doi.org/10.1029/2018WR022797.","productDescription":"23 p.","startPage":"2916","endPage":"2938","ipdsId":"IP-098506","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":363645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": 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,{"id":70202007,"text":"70202007 - 2019 - Diatom assemblage changes in agricultural alluvial plain streams and application for nutrient management","interactions":[],"lastModifiedDate":"2019-02-05T12:48:27","indexId":"70202007","displayToPublicDate":"2019-02-05T12:48:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Diatom assemblage changes in agricultural alluvial plain streams and application for nutrient management","docAbstract":"<p><span>In large, alluvial floodplains dominated by agriculture, small streams have the potential to experience nutrient enrichment affecting algal assemblage structure and metabolism. Nutrient enrichment is largely driven by application of nutrients and altered hydrologic regimes. To inform stressor–response-based nutrient reduction goals for agricultural alluvial plain streams, diatom assemblages were sampled from 25 streams located within the Mississippi Alluvial Plain (MAP) with various land management practices and associated P and N inputs. From August through September 2015, epidendric diatom assemblage samples were collected from instream woody debris. Field nutrient gradients were skewed toward higher concentrations, and ranges of previously reported diatom assemblage response thresholds indicative of oligotrophic conditions were not well represented. Ordination analysis identified a gradient in species composition associated with increasing P and decreasing dissolved oxygen. A significant shift in diatom assemblage structure occurred when total P concentrations in the MAP streams exceeded 0.12 mg L−</span><sup>1</sup><span>. Phosphorus-enriched systems were represented by a distinct set of indicator species, lower abundances of ubiquitous species, greater abundances of highly tolerant species, and greater abundances of high-P indicator species. No relationships were observed among diatom assemblage measures or traits with increasing N. Current results do not address potential criteria for identifying high-quality, oligotrophic streams. However, measures of diatom assemblage structure have potential for helping set benchmarks to reduce nutrient impacts and monitor effects of agricultural best management practices on MAP streams.</span></p>","language":"English","publisher":"ACSESS","doi":"10.2134/jeq2018.05.0196","usgsCitation":"Hicks, M.B., and Taylor, J.M., 2019, Diatom assemblage changes in agricultural alluvial plain streams and application for nutrient management: Journal of Environmental Quality, v. 48, no. 1, p. 83-92, https://doi.org/10.2134/jeq2018.05.0196.","productDescription":"10 p.","startPage":"83","endPage":"92","ipdsId":"IP-091585","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":467930,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2134/jeq2018.05.0196","text":"Publisher Index Page"},{"id":361026,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Yazoo River basin","volume":"48","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hicks, Matthew B. 0000-0001-5516-0296 mhicks@usgs.gov","orcid":"https://orcid.org/0000-0001-5516-0296","contributorId":3778,"corporation":false,"usgs":true,"family":"Hicks","given":"Matthew","email":"mhicks@usgs.gov","middleInitial":"B.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":756637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Jason M.","contributorId":212809,"corporation":false,"usgs":false,"family":"Taylor","given":"Jason","email":"","middleInitial":"M.","affiliations":[{"id":38685,"text":"USDA, ARS Sedimentation Lab","active":true,"usgs":false}],"preferred":false,"id":756638,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70237799,"text":"70237799 - 2019 - Aquifer depletion and potential impacts on long-term irrigated agricultural productivity","interactions":[],"lastModifiedDate":"2022-10-24T16:38:20.304723","indexId":"70237799","displayToPublicDate":"2019-02-01T11:27:06","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":12794,"text":"Issue Paper","active":true,"publicationSubtype":{"id":3}},"seriesNumber":"63","title":"Aquifer depletion and potential impacts on long-term irrigated agricultural productivity","docAbstract":"<p>Groundwater is the Earth’s most extracted raw material, with almost 1,000 cubic kilometers per year (800 million acre-feet per year) of groundwater pumped from aquifers around the world. Approximately 70% of groundwater withdrawals worldwide are used to support agricultural production systems, and within the United States, about 71% of groundwater withdrawals are used for irrigating croplands. This percentage of groundwater used to support agriculture is even higher in arid and semi-arid areas, where the only consistent source of irrigation water is groundwater. In these regions, however, the use of groundwater typically far exceeds the rate at which it is naturally replenished, indicating that these critical groundwater resources are being slowly depleted. Within the United States, groundwater depletion has occurred in many important agricultural production regions, including the Great Plains Region (Nebraska, Colorado, Oklahoma, New Mexico, and northern Texas), the Central Valley of California, the Mississippi Embayment Aquifer (Mississippi River lowlands bordering Arkansas and Mississippi), aquifers in southern Arizona, and smaller aquifers in many western states. </p><p>The groundwater resource with the greatest long-term depletion is the High Plains (Ogallala) aquifer in the Great Plains Region of the United States, where groundwater levels have declined by more than 50 meters (150 feet) in some areas. The Central Valley of California, however, is experiencing the highest groundwater depletion intensity because of increased use over the last several decades. The most obvious consequences of depleting groundwater resources are the loss of a long-term water supply and the increased costs of pumping groundwater as the water table declines further below the ground surface. There are many other consequences associated with groundwater depletion, however, including the loss of the productivity of groundwater production wells (possibly requiring the construction of new wells); the depletion of the flow of water in rivers, creeks, and lakes when they are hydrologically connected to underlying aquifers; the shifting and subsidence of land surfaces that can occur when groundwater is extracted from aquifers; and the intrusion of high saline, or poor quality, water from other subsurface formations. </p><p>The most effective approaches for addressing groundwater depletion focus on reducing or eliminating the imbalance between the inflow and outflow of water to an aquifer. Methods that focus on increasing the inflow to groundwater resources include the development of managed aquifer recharge systems and altering land-use practices to increase the infiltration of water below the land surface. Methods that focus on decreasing groundwater use include the implementation of more efficient irrigation systems, the development of agricultural crops that require less water, and the creation of economic incentives to encourage water conservation. All of these methods should be considered when developing plans to address the long-term consequences of groundwater depletion. In addition, when developing policies that regulate groundwater systems that are being depleted, the potential consequences of groundwater depletion need to be fully assessed to determine the trade-offs that exist between the undesired impacts of groundwater depletion and whether these impacts outweigh the benefits associated with groundwater use. </p>","language":"English","publisher":"Council for Agricultural Science and Technology","usgsCitation":"Tracy, J., Johnson, J., Konikow, L.F., Miller, G., Porter, D., Sheng, Z., and Sibray, S., 2019, Aquifer depletion and potential impacts on long-term irrigated agricultural productivity: Issue Paper 63, 20 p.","productDescription":"20 p.","ipdsId":"IP-101928","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":408653,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": 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33.74091\n              ],\n              [\n                -118.51989,\n                34.02778\n              ],\n              [\n                -119.081,\n                34.078\n              ],\n              [\n                -119.43884,\n                34.34848\n              ],\n              [\n                -120.36778,\n                34.44711\n              ],\n              [\n                -120.62286,\n                34.60855\n              ],\n              [\n                -120.74433,\n                35.15686\n              ],\n              [\n                -121.71457,\n                36.16153\n              ],\n              [\n                -122.54747,\n                37.55176\n              ],\n              [\n                -122.51201,\n                37.78339\n              ],\n              [\n                -122.95319,\n                38.11371\n              ],\n              [\n                -123.7272,\n                38.95166\n              ],\n              [\n                -123.86517,\n                39.76699\n              ],\n              [\n                -124.39807,\n                40.3132\n              ],\n              [\n                -124.17886,\n                41.14202\n              ],\n              [\n                -124.2137,\n                41.99964\n              ],\n              [\n                -124.53284,\n                42.76599\n              ],\n              [\n                -124.14214,\n                43.70838\n              ],\n              [\n                -124.02053,\n                44.6159\n              ],\n              [\n                -123.89893,\n                45.52341\n              ],\n              [\n                -124.07963,\n                46.86475\n              ],\n              [\n                -124.39567,\n                47.72017\n              ],\n              [\n                -124.68721,\n                48.18443\n              ],\n              [\n                -124.5661,\n                48.37971\n              ],\n              [\n                -123.12,\n                48.04\n              ],\n              [\n                -122.58736,\n                47.096\n              ],\n              [\n                -122.34,\n                47.36\n              ],\n              [\n                -122.5,\n                48.18\n              ],\n              [\n                -122.84,\n                49\n              ],\n              [\n                -120,\n                49\n              ],\n              [\n                -117.03121,\n                49\n              ],\n              [\n                -116.04818,\n                49\n              ],\n              [\n                -113,\n                49\n              ],\n              [\n                -110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tracy, John","contributorId":189218,"corporation":false,"usgs":false,"family":"Tracy","given":"John","email":"","affiliations":[],"preferred":false,"id":855667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Jennifer","contributorId":258148,"corporation":false,"usgs":false,"family":"Johnson","given":"Jennifer","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":855668,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Konikow, Leonard F. 0000-0002-0940-3856 lkonikow@usgs.gov","orcid":"https://orcid.org/0000-0002-0940-3856","contributorId":158,"corporation":false,"usgs":true,"family":"Konikow","given":"Leonard","email":"lkonikow@usgs.gov","middleInitial":"F.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":855669,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Gretchen","contributorId":298471,"corporation":false,"usgs":false,"family":"Miller","given":"Gretchen","email":"","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":855670,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Porter, Dana","contributorId":189265,"corporation":false,"usgs":false,"family":"Porter","given":"Dana","email":"","affiliations":[],"preferred":false,"id":855671,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sheng, Zhuping","contributorId":298473,"corporation":false,"usgs":false,"family":"Sheng","given":"Zhuping","email":"","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":855672,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sibray, Steven","contributorId":298475,"corporation":false,"usgs":false,"family":"Sibray","given":"Steven","email":"","affiliations":[{"id":64583,"text":"Univ. of Nebraska","active":true,"usgs":false}],"preferred":false,"id":855673,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70204530,"text":"70204530 - 2019 - Flow-ecology relationships are spatially structured and differ among flow regimes","interactions":[],"lastModifiedDate":"2019-08-01T08:37:26","indexId":"70204530","displayToPublicDate":"2019-02-01T08:36:26","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Flow-ecology relationships are spatially structured and differ among flow regimes","docAbstract":"In streams, hydrology is a predominant driver of ecological structure and function. Providing adequate flows to support aquatic life, or environmental flows, is therefore a top management priority in stream systems.\n\nFlow regime classification is a widely accepted approach for establishing environmental flow guidelines. However, it is surprisingly difficult to quantify relationships between hydrology and ecology (flow–ecology relationships) while describing how these relationships vary across classified flow regimes. Developing such relationships is complicated by several sources of spatial bias, such as autocorrelation due to spatial design, flow regime classification and other environmental or ecological sources of spatial bias.\n\nWe used mixed moving‐average spatial stream network models to develop flow–ecology relationships across classified flow regimes and to assess spatial patterns of these relationships. We compared relationships between fish traits and life‐history strategies with hydrologic metrics across flow regimes and assessed whether spatial autocorrelation influenced these relationships.\n\nTrait–hydrology relationships varied between flow regimes and across all streams combined. Some relationships between traits and hydrologic metrics fit predictions based on life‐history theory, while others exhibited unexpected relationships with hydrology. Spatial factors described a large proportion of variability in fish traits and different patterns of spatial autocorrelation were observed in different flow regimes.\n\nSynthesis and applications. Further work is needed to understand why flow–ecology relationships vary across classified flow regimes and why these relationships may not fit predictions based on life‐history theories. Managers determining environmental flow standards need to be aware that different hydrologic metrics are often important drivers of fish trait diversity in different flow regimes. Flow–ecology relationships may therefore be confounded by spatial structure inherent in flow regime classification and much existing biological data. Complex patterns of spatial bias should be considered when managing stream systems within an environmental flows framework.","language":"English","publisher":"Wiley","doi":"10.1111/1365-2664.13297","usgsCitation":"Magoulick, D.D., 2019, Flow-ecology relationships are spatially structured and differ among flow regimes: Journal of Applied Ecology, v. 56, no. 2, p. 398-412, https://doi.org/10.1111/1365-2664.13297.","productDescription":"15 p.","startPage":"398","endPage":"412","ipdsId":"IP-084577","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":467947,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.13297","text":"Publisher Index Page"},{"id":366059,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-17","publicationStatus":"PW","contributors":{"authors":[{"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":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":767415,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70201824,"text":"70201824 - 2019 - Sensitivity of streamflow simulation in the Delaware River Basin to forecasted land‐cover change for 2030 and 2060","interactions":[],"lastModifiedDate":"2019-01-31T11:41:56","indexId":"70201824","displayToPublicDate":"2019-01-31T11:41:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Sensitivity of streamflow simulation in the Delaware River Basin to forecasted land‐cover change for 2030 and 2060","docAbstract":"<p><span>In order to simulate the potential effect of forecasted land‐cover change on streamflow and water availability, there has to be confidence that the hydrologic model used is sensitive to small changes in land cover (&lt;10%) and that this land‐cover change exceeds the inherent uncertainty in forecasted conditions. To investigate this, a 26‐year streamflow record was simulated for 33 basins (54–928&nbsp;km</span><sup>2</sup><span>) in the Delaware River Basin using three dates of land cover: the 2011 National Land‐Cover Dataset (Homer, Fry, &amp; Barnes,&nbsp;</span><span>2012</span><span>), 2030 land‐cover conditions representing median values from 101 equally‐likely forecasts, and 2060 land‐cover conditions corresponding to the same iterations used to represent 2030. Streamflow was simulated using a process‐based hydrologic model that includes both pervious and impervious methods as parameterized by three land‐cover‐based hydrologic response units (HRUs)—forested, agricultural, and developed land. Small, but significant differences in streamflow magnitude, variability, and seasonality were seen among the three time periods—2011, 2030, and 2060. Temporal differences were discernible from the range of conditions simulated with 101 equally likely forecasts for 2030. Development was co‐located with the most frequent landscape components, as characterized by topographic wetness index, resulting in a change in hydrology for each HRU, highlighting that knowing the location of disturbance is key to understanding potential streamflow changes. These results show that streamflow simulation using regional calibration that incorporates land‐cover‐based HRUs can be sensitive to relatively small changes in land‐cover and that temporal trends resulting from land‐cover change can be isolated in order to evaluate other changes that might affect water resources.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13315","usgsCitation":"Williamson, T.N., and Claggett, P.R., 2019, Sensitivity of streamflow simulation in the Delaware River Basin to forecasted land‐cover change for 2030 and 2060: Hydrological Processes, v. 33, no. 1, p. 115-129, https://doi.org/10.1002/hyp.13315.","productDescription":"15 p.","startPage":"115","endPage":"129","ipdsId":"IP-084563","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":467955,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.13315","text":"Publisher Index Page"},{"id":360863,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Delaware River Basin ","volume":"33","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Williamson, Tanja N. 0000-0002-7639-8495 tnwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-7639-8495","contributorId":198329,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja","email":"tnwillia@usgs.gov","middleInitial":"N.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Claggett, Peter R. 0000-0002-5335-2857 pclaggett@usgs.gov","orcid":"https://orcid.org/0000-0002-5335-2857","contributorId":176287,"corporation":false,"usgs":true,"family":"Claggett","given":"Peter","email":"pclaggett@usgs.gov","middleInitial":"R.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755495,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70201741,"text":"70201741 - 2019 - Widespread loss of lake ice around the Northern Hemisphere in a warming world","interactions":[],"lastModifiedDate":"2019-03-04T11:14:34","indexId":"70201741","displayToPublicDate":"2019-01-29T14:32:19","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"Widespread loss of lake ice around the Northern Hemisphere in a warming world","docAbstract":"<p><span>Ice provides a range of ecosystem services—including fish harvest</span><sup></sup><span>, cultural traditions</span><sup></sup><span>, transportation</span><sup></sup><span>, recreation</span><sup></sup><span>&nbsp;and regulation of the hydrological cycle</span><sup></sup><span>—to more than half of the world’s 117 million lakes. One of the earliest observed impacts of climatic warming has been the loss of freshwater ice</span><sup></sup><span>, with corresponding climatic and ecological consequences</span><sup></sup><span>. However, while trends in ice cover phenology have been widely documented</span><sup></sup><span>, a comprehensive large-scale assessment of lake ice loss is absent. Here, using observations from 513 lakes around the Northern Hemisphere, we identify lakes vulnerable to ice-free winters. Our analyses reveal the importance of air temperature, lake depth, elevation and shoreline complexity in governing ice cover. We estimate that 14,800 lakes currently experience intermittent winter ice cover, increasing to 35,300 and 230,400 at 2 and 8 °C, respectively, and impacting up to 394 and 656 million people. Our study illustrates that an extensive loss of lake ice will occur within the next generation, stressing the importance of climate mitigation strategies to preserve ecosystem structure and function, as well as local winter cultural heritage.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41558-018-0393-5","usgsCitation":"Sharma, S., Blagrave, K., Magnuson, J.J., O’Reilly, C.M., Oliver, S.K., Batt, R., Magee, M.R., Straile, D., Weyhenmeyer, G.A., Winslow, L., and Woolway, R., 2019, Widespread loss of lake ice around the Northern Hemisphere in a warming world: Nature Climate Change, v. 9, p. 227-231, https://doi.org/10.1038/s41558-018-0393-5.","productDescription":"5 p.","startPage":"227","endPage":"231","ipdsId":"IP-100691","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":360797,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Sharma, Sapna","contributorId":150332,"corporation":false,"usgs":false,"family":"Sharma","given":"Sapna","email":"","affiliations":[{"id":16184,"text":"York University","active":true,"usgs":false}],"preferred":false,"id":755130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blagrave, Kevin","contributorId":211887,"corporation":false,"usgs":false,"family":"Blagrave","given":"Kevin","email":"","affiliations":[{"id":38342,"text":"Department of Biology, York University, Toronto, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":755131,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Magnuson, John J.","contributorId":211889,"corporation":false,"usgs":false,"family":"Magnuson","given":"John","email":"","middleInitial":"J.","affiliations":[{"id":38344,"text":"Center for Limnology, University of Wisconsin-Madison, Madison, Wisconsin, USA","active":true,"usgs":false}],"preferred":false,"id":755139,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Reilly, Catherine M.","contributorId":150334,"corporation":false,"usgs":false,"family":"O’Reilly","given":"Catherine","email":"","middleInitial":"M.","affiliations":[{"id":18004,"text":"Illinois State University","active":true,"usgs":false}],"preferred":false,"id":755132,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oliver, Samantha K. 0000-0001-5668-1165","orcid":"https://orcid.org/0000-0001-5668-1165","contributorId":211886,"corporation":false,"usgs":true,"family":"Oliver","given":"Samantha","email":"","middleInitial":"K.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755129,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Batt, Ryan D.","contributorId":168948,"corporation":false,"usgs":false,"family":"Batt","given":"Ryan D.","affiliations":[{"id":25393,"text":"Department of Ecology, Evolution, and Natural Resources, Rutgers University, New Brunswick, New Jersey, USA 08901","active":true,"usgs":false}],"preferred":false,"id":755133,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Magee, Madeline R.","contributorId":211888,"corporation":false,"usgs":false,"family":"Magee","given":"Madeline","email":"","middleInitial":"R.","affiliations":[{"id":38343,"text":"Wisconsin Department of Natural Resources, Madison, Wisconsin, USA","active":true,"usgs":false}],"preferred":false,"id":755134,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Straile, Dietmar","contributorId":150309,"corporation":false,"usgs":false,"family":"Straile","given":"Dietmar","email":"","affiliations":[{"id":17983,"text":"Department of Biology, Universitat Konstanz, Konstanz, Germany","active":true,"usgs":false}],"preferred":false,"id":755135,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Weyhenmeyer, Gesa A.","contributorId":150314,"corporation":false,"usgs":false,"family":"Weyhenmeyer","given":"Gesa","email":"","middleInitial":"A.","affiliations":[{"id":17988,"text":"Department of Ecology and Genetics/Limnology, Uppsala University, Uppsala, Sweden","active":true,"usgs":false}],"preferred":false,"id":755136,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Winslow, Luke A. 0000-0002-8602-5510","orcid":"https://orcid.org/0000-0002-8602-5510","contributorId":211187,"corporation":false,"usgs":false,"family":"Winslow","given":"Luke A.","affiliations":[{"id":12656,"text":"Rensselaer Polytechnic Institute","active":true,"usgs":false}],"preferred":false,"id":755137,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Woolway, R. Iestyn","contributorId":150345,"corporation":false,"usgs":false,"family":"Woolway","given":"R. Iestyn","affiliations":[{"id":18007,"text":"Lake Ecosystems Group, Centre for Ecology & Hydrology, Lancaster Environment Centre, Library Avenue, Bailrigg, Lancaster, LA1 4AP, UK.","active":true,"usgs":false}],"preferred":false,"id":755138,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70201752,"text":"70201752 - 2019 - Compounding effects of climate change reduce population viability of a montane amphibian","interactions":[],"lastModifiedDate":"2019-03-04T11:15:22","indexId":"70201752","displayToPublicDate":"2019-01-29T13:58:25","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Compounding effects of climate change reduce population viability of a montane amphibian","docAbstract":"<p><span>Anthropogenic climate change presents challenges and opportunities to the growth, reproduction, and survival of individuals throughout their life cycles. Demographic compensation among life‐history stages has the potential to buffer populations from decline, but alternatively, compounding negative effects can lead to accelerated population decline and extinction. In montane ecosystems of the U.S. Pacific Northwest, increasing temperatures are resulting in a transition from snow‐dominated to rain‐dominated precipitation events, reducing snowpack. For ectotherms such as amphibians, warmer winters can reduce the frequency of critical minimum temperatures and increase the length of summer growing seasons, benefiting post‐metamorphic stages, but may also increase metabolic costs during winter months, which could decrease survival. Lower snowpack levels also result in wetlands that dry sooner or more frequently in the summer, increasing larval desiccation risk. To evaluate how these challenges and opportunities compound within a species’ life history, we collected demographic data on Cascades frog (</span><i>Rana cascadae</i><span>) in Olympic National Park in Washington state to parameterize stage‐based stochastic matrix population models under current and future (A1B, 2040s, and 2080s) environmental conditions. We estimated the proportion of reproductive effort lost each year due to drying using watershed‐specific hydrologic models, and coupled this with an analysis that relates 15 yr of&nbsp;</span><i>R.&nbsp;cascadae</i><span>&nbsp;abundance data with a suite of climate variables. We estimated the current population growth (λ</span><sub>s</sub><span>) to be 0.97 (95% CI 0.84–1.13), but predict that λ</span><sub>s</sub><span>&nbsp;will decline under continued climate warming, resulting in a 62% chance of extinction by the 2080s because of compounding negative effects on early and late life history stages. By the 2080s, our models predict that larval mortality will increase by 17% as a result of increased pond drying, and adult survival will decrease by 7% as winter length and summer precipitation continue to decrease. We find that reduced larval survival drives initial declines in the 2040s, but further declines in the 2080s are compounded by decreases in adult survival. Our results demonstrate the need to understand the potential for compounding or compensatory effects within different life history stages to exacerbate or buffer the effects of climate change on population growth rates through time.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1832","usgsCitation":"Kissel, A.M., Palen, W.J., Ryan, M.E., and Adams, M.J., 2019, Compounding effects of climate change reduce population viability of a montane amphibian: Ecological Applications, v. 29, no. 2, p. 1-12, https://doi.org/10.1002/eap.1832.","productDescription":"e01832; 12 p.","startPage":"1","endPage":"12","ipdsId":"IP-092187","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":360793,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Kissel, Amanda M.","contributorId":211917,"corporation":false,"usgs":false,"family":"Kissel","given":"Amanda","email":"","middleInitial":"M.","affiliations":[{"id":36678,"text":"Simon Fraser University","active":true,"usgs":false}],"preferred":false,"id":755199,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palen, Wendy J.","contributorId":211918,"corporation":false,"usgs":false,"family":"Palen","given":"Wendy","email":"","middleInitial":"J.","affiliations":[{"id":36678,"text":"Simon Fraser University","active":true,"usgs":false}],"preferred":false,"id":755200,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ryan, Maureen E.","contributorId":208314,"corporation":false,"usgs":false,"family":"Ryan","given":"Maureen","email":"","middleInitial":"E.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":755201,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adams, Michael J. 0000-0001-8844-042X","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":211916,"corporation":false,"usgs":true,"family":"Adams","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":755198,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70237804,"text":"70237804 - 2019 - Size distributions of Arctic waterbodies reveal consistent relations in their statistical moments in space and time","interactions":[],"lastModifiedDate":"2022-10-24T14:56:05.970198","indexId":"70237804","displayToPublicDate":"2019-01-29T09:39:19","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9121,"text":"Frontiers Earth Science Journal","active":true,"publicationSubtype":{"id":10}},"title":"Size distributions of Arctic waterbodies reveal consistent relations in their statistical moments in space and time","docAbstract":"<p><span>Arctic lowlands are characterized by large numbers of small waterbodies, which are known to affect surface energy budgets and the global carbon cycle. Statistical analysis of their size distributions has been hindered by the shortage of observations at sufficiently high spatial resolutions. This situation has now changed with the high-resolution (&lt;5 m) circum-Arctic Permafrost Region Pond and Lake (PeRL) database recently becoming available. We have used this database to make the first consistent, high-resolution estimation of Arctic waterbody size distributions, with surface areas ranging from 0.0001 km</span><sup>2</sup><span>&nbsp;(100 m</span><sup>2</sup><span>) to 1 km</span><sup>2</sup><span>. We found that the size distributions varied greatly across the thirty study regions investigated and that there was no single universal size distribution function (including power-law distribution functions) appropriate across all of the study regions. We did, however, find close relationships between the statistical moments (mean, variance, and skewness) of the waterbody size distributions from different study regions. Specifically, we found that the spatial variance increased linearly with mean waterbody size (</span><i>R</i><sup>2</sup><span>&nbsp;= 0.97,&nbsp;</span><i>p</i><span>&nbsp;&lt; 2.2e-16) and that the skewness decreased approximately hyperbolically. We have demonstrated that these relationships (1) hold across the 30 Arctic study regions covering a variety of (bio)climatic and permafrost zones, (2) hold over time in two of these study regions for which multi-decadal satellite imagery is available, and (3) can be reproduced by simulating rising water levels in a high-resolution digital elevation model. The consistent spatial and temporal relationships between the statistical moments of the waterbody size distributions underscore the dominance of topographic controls in lowland permafrost areas. These results provide motivation for further analyses of the factors involved in waterbody development and spatial distribution and for investigations into the possibility of using statistical moments to predict future hydrologic dynamics in the Arctic.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/feart.2019.00005","usgsCitation":"Muster, S., Riley, W.J., Roth, K., Langer, M., Cresto Aleina, F., Koven, C.D., Lange, S., Bartsch, A., Grosse, G., Wilson, C.J., Jones, B.M., and Boike, J., 2019, Size distributions of Arctic waterbodies reveal consistent relations in their statistical moments in space and time: Frontiers Earth Science Journal, v. 7, 5,15 p., https://doi.org/10.3389/feart.2019.00005.","productDescription":"5,15 p.","ipdsId":"IP-084407","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":467968,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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Aleina, Fabio","contributorId":194632,"corporation":false,"usgs":false,"family":"Cresto Aleina","given":"Fabio","email":"","affiliations":[],"preferred":false,"id":855694,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Koven, Charles D.","contributorId":199593,"corporation":false,"usgs":false,"family":"Koven","given":"Charles","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":855695,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lange, Stephan","contributorId":194631,"corporation":false,"usgs":false,"family":"Lange","given":"Stephan","email":"","affiliations":[],"preferred":false,"id":855696,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bartsch, Annett","contributorId":194633,"corporation":false,"usgs":false,"family":"Bartsch","given":"Annett","email":"","affiliations":[],"preferred":false,"id":855697,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Grosse, 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J.","contributorId":88242,"corporation":false,"usgs":true,"family":"Wilson","given":"C.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":855699,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":855700,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Boike, Julia","contributorId":194646,"corporation":false,"usgs":false,"family":"Boike","given":"Julia","email":"","affiliations":[],"preferred":false,"id":855701,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70201730,"text":"70201730 - 2019 - Preface to historic and paleoflood analyses: New perspectives on climate, extreme flood risk, and the geomorphic effects of large floods","interactions":[],"lastModifiedDate":"2022-11-08T16:51:52.120114","indexId":"70201730","displayToPublicDate":"2019-01-28T13:50:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Preface to historic and paleoflood analyses: New perspectives on climate, extreme flood risk, and the geomorphic effects of large floods","docAbstract":"<p><span>Paleofloods are flood events that occurred prior to instrumented records that are discerned from sedimentary evidence. Historic floods are flood events that predate the instrumented record that have been reconstructed based on evidence provided by historical sources. This special issue presents papers on historic and paleoflood analyses that stemmed from the 5th International Paleoflood Symposium held in 2016 and a technical paper session convened during the 2016 Annual Meeting of the Geological Society of America (GSA) in Denver, Colorado, titled ‘Paleofloods and Related Fluvial Processes during the Late Quaternary: Reconstructions and Causes.’ The papers included in this special issue address a wide variety of flood science questions, including hydrologic hazard and risk assessments, the examination of prehistoric human migration patterns, understanding relationships between large floods and climate, and the investigation of cataclysmic flood processes.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2018.10.021","usgsCitation":"Davis, L., Harden, T.M., Munoz, S.E., Godaire, J.E., and O'Connor, J., 2019, Preface to historic and paleoflood analyses: New perspectives on climate, extreme flood risk, and the geomorphic effects of large floods: Geomorphology, v. 327, p. 610-612, https://doi.org/10.1016/j.geomorph.2018.10.021.","productDescription":"3 p.","startPage":"610","endPage":"612","ipdsId":"IP-103412","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":360754,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"327","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c5022c1e4b0708288f7e7d4","contributors":{"authors":[{"text":"Davis, Lisa","contributorId":211852,"corporation":false,"usgs":false,"family":"Davis","given":"Lisa","email":"","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":755042,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harden, Tessa M. 0000-0001-9854-1347 tharden@usgs.gov","orcid":"https://orcid.org/0000-0001-9854-1347","contributorId":192153,"corporation":false,"usgs":true,"family":"Harden","given":"Tessa","email":"tharden@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755041,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Munoz, Samuel E.","contributorId":211853,"corporation":false,"usgs":false,"family":"Munoz","given":"Samuel","email":"","middleInitial":"E.","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":false,"id":755043,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Godaire, Jeanne E. 0000-0001-5103-6888","orcid":"https://orcid.org/0000-0001-5103-6888","contributorId":172928,"corporation":false,"usgs":false,"family":"Godaire","given":"Jeanne","email":"","middleInitial":"E.","affiliations":[{"id":6736,"text":"Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":755044,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O'Connor, Jim E. 0000-0002-7928-5883 oconnor@usgs.gov","orcid":"https://orcid.org/0000-0002-7928-5883","contributorId":140771,"corporation":false,"usgs":true,"family":"O'Connor","given":"Jim E.","email":"oconnor@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":755045,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204095,"text":"70204095 - 2019 - Effect of permafrost thaw on plant and soil fungal community in the boreal forest: Does fungal community change mediate plant productivity response?","interactions":[],"lastModifiedDate":"2019-07-03T16:23:12","indexId":"70204095","displayToPublicDate":"2019-01-24T16:17:48","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Effect of permafrost thaw on plant and soil fungal community in the boreal forest: Does fungal community change mediate plant productivity response?","docAbstract":"Permafrost thaw is leading to rapid shifts in boreal ecosystem function. Permafrost thaw affects soil carbon turnover through changes in soil hydrology, however, the biotic mechanisms regulating plant community response remain elusive. Here, we measured the response of fungal community composition and soil nutrient content in an intact permafrost plateau forest soil and an adjacent thermokarst bog using barcoded amplicon targeting ITS2 and 28S rRNA genes. Next, we used the soils from the permafrost plateau and the thermokarst bog as soil inoculum in a greenhouse experiment to measure whether shifts in fungal community and soil water level regulate plant productivity. Overall, we found that fungal community composition differed significantly between the thawed and intact permafrost sites, but soil nutrient content did not. Relative abundance of mycorrhizal fungal taxa decreased while relative abundance of putative fungal pathogens increased with permafrost thaw. In the greenhouse, we found that ecto- and arbuscular associated host plants had higher productivity in permafrost-intact soils relative to thawed soils. However, productivity of non-mycorrhizal tussock grass was more affected by soil water levels than soil communities. Our results suggest that fungal communities are crucial in mediating plant response to permafrost thaws inducing hydrology changes.","language":"English","publisher":"Wiley","doi":"10.1111/1365-2745.13139","usgsCitation":"Schütte, U., Henning, J.A., Ye, Y., Bowling, A., Ford, J.D., Genet, H., Waldrop, M., Turetsky, M.R., White, J.R., and Bever, J.D., 2019, Effect of permafrost thaw on plant and soil fungal community in the boreal forest: Does fungal community change mediate plant productivity response?: Journal of Ecology, v. 107, no. 4, p. 1737-1752, https://doi.org/10.1111/1365-2745.13139.","productDescription":"16 p.","startPage":"1737","endPage":"1752","ipdsId":"IP-103772","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":467984,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2745.13139","text":"Publisher Index Page"},{"id":365296,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"107","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Schütte, Ursel M.E","contributorId":216770,"corporation":false,"usgs":false,"family":"Schütte","given":"Ursel M.E","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":765468,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henning, Jeremiah A.","contributorId":216771,"corporation":false,"usgs":false,"family":"Henning","given":"Jeremiah","email":"","middleInitial":"A.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":765469,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ye, Yuzhen","contributorId":216772,"corporation":false,"usgs":false,"family":"Ye","given":"Yuzhen","email":"","affiliations":[{"id":39512,"text":"Indiana Univerisity","active":true,"usgs":false}],"preferred":false,"id":765470,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bowling, A.","contributorId":119396,"corporation":false,"usgs":true,"family":"Bowling","given":"A.","email":"","affiliations":[],"preferred":false,"id":765473,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ford, James D.","contributorId":200964,"corporation":false,"usgs":false,"family":"Ford","given":"James","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":765471,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Genet, Helene","contributorId":198686,"corporation":false,"usgs":false,"family":"Genet","given":"Helene","email":"","affiliations":[],"preferred":false,"id":765472,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Waldrop, Mark 0000-0003-1829-7140","orcid":"https://orcid.org/0000-0003-1829-7140","contributorId":216769,"corporation":false,"usgs":true,"family":"Waldrop","given":"Mark","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":765467,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Turetsky, Merritt R.","contributorId":169398,"corporation":false,"usgs":false,"family":"Turetsky","given":"Merritt","email":"","middleInitial":"R.","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":765474,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"White, Jeffrey R.","contributorId":169414,"corporation":false,"usgs":false,"family":"White","given":"Jeffrey","email":"","middleInitial":"R.","affiliations":[{"id":12645,"text":"Indiana University - Northwest","active":true,"usgs":false}],"preferred":false,"id":765475,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bever, James D","contributorId":216774,"corporation":false,"usgs":false,"family":"Bever","given":"James","email":"","middleInitial":"D","affiliations":[{"id":39513,"text":"Kansas University","active":true,"usgs":false}],"preferred":false,"id":765476,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70201727,"text":"70201727 - 2019 - Development of perennial thaw zones in boreal hillslopes enhances potential mobilization of permafrost carbon","interactions":[],"lastModifiedDate":"2019-01-28T14:33:47","indexId":"70201727","displayToPublicDate":"2019-01-17T14:33:42","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Development of perennial thaw zones in boreal hillslopes enhances potential mobilization of permafrost carbon","docAbstract":"<p><span>Permafrost thaw alters subsurface flow in boreal regions that in turn influences the magnitude, seasonality, and chemical composition of streamflow. Prediction of these changes is challenged by incomplete knowledge of timing, flowpath depth, and amount of groundwater discharge to streams in response to thaw. One important phenomenon that may affect flow and transport through boreal hillslopes is development of lateral perennial thaw zones (PTZs), the existence of which is here supported by geophysical observations and cryohydrogeologic modeling. Model results link thaw to enhanced and seasonally-extended baseflow, which have implications for mobilization of soluble constituents. Results demonstrate the sensitivity of PTZ development to organic layer thickness and near-surface factors that mediate heat exchange at the atmosphere/ground-surface interface. Study findings suggest that PTZs serve as a detectable precursor to accelerated permafrost degradation. This study provides important contextual insight on a fundamental thermo-hydrologic process that can enhance terrestrial-to-aquatic transfer of permafrost carbon, nitrogen, and mercury previously sequestered in thawing watersheds.</span></p>","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/aaf0cc","usgsCitation":"Walvoord, M.A., Voss, C., Ebel, B., and Minsley, B.J., 2019, Development of perennial thaw zones in boreal hillslopes enhances potential mobilization of permafrost carbon: Environmental Research Letters, v. 14, no. 1, p. 1-11, https://doi.org/10.1088/1748-9326/aaf0cc.","productDescription":"Article 015003; 11 p.","startPage":"1","endPage":"11","ipdsId":"IP-098066","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":467989,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/aaf0cc","text":"Publisher Index Page"},{"id":437601,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HWCOBP","text":"USGS data release","linkHelpText":"Model Archive for coupled energy and fluid flow simulations generalized to boreal hillslopes"},{"id":360760,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"14","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-17","publicationStatus":"PW","scienceBaseUri":"5c5022c3e4b0708288f7e800","contributors":{"authors":[{"text":"Walvoord, Michelle A. 0000-0003-4269-8366","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":211843,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":755031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Voss, Clifford I. 0000-0001-5923-2752","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":211844,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford I.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":755032,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ebel, Brian A. 0000-0002-5413-3963","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":211845,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":755033,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Minsley, Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":755034,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70216037,"text":"70216037 - 2019 - Temporal variability in nitrate – discharge relationships in large rivers as revealed by high frequency data","interactions":[],"lastModifiedDate":"2020-11-03T17:07:07.577689","indexId":"70216037","displayToPublicDate":"2019-01-17T11:03:13","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Temporal variability in nitrate – discharge relationships in large rivers as revealed by high frequency data","docAbstract":"<p><span>Little is known about temporal variability in nitrate concentration responses to changes in discharge on intraannual time scales in large rivers. To investigate this knowledge gap, we used a six‐year data set of daily surface water nitrate concentration and discharge averaged from near‐continuous monitoring at U.S. Geological Survey gaging stations on the Connecticut, Potomac, and Mississippi Rivers, three large rivers that contribute substantial nutrient pollution to important estuaries. Interannually, a comparison of nitrate concentration‐discharge (c‐Q) relationships between a traditional discrete grab sample data set and the near‐continuous data set revealed differing c‐Q slopes, which suggests that sample frequency can impact how we ultimately characterize hydrologic systems. Intraannually, we conducted correlation analyses over 30‐day windows to isolate the strength and direction of monthly c‐Q relationships. Monthly c‐Q slopes in the Potomac were positive (enrichment/mobilization response) in summer and fall and negative (dilution response) and weakly chemostatic (nonsignificant near‐zero c‐Q slope) in winter and spring, respectively. The Connecticut displayed a dilution response year‐round, except summer when it was weakly chemostatic. Mississippi c‐Q slopes were weakly chemostatic in all seasons and showed inconsistent responses to discharge fluctuations. The c‐Q dynamics in the Potomac and Connecticut were correlated (</span><i>R</i><span>&nbsp;&gt;&nbsp;0.3) to river temperature, flow percentile, and calendar day. Minimal correlation in the Mississippi suggests that the large basin area coupled with spatiotemporally variable anthropogenic forcings from substantial land use development created stochastic short‐term c‐Q relationships. Additional work using high‐frequency sensors across large river networks can improve our understanding of spatial source input dynamics in these natural‐human coupled systems.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018WR023478","usgsCitation":"Zimmer, M., Pellerin, B., Burns, D., and Petrochenkov, G.P., 2019, Temporal variability in nitrate – discharge relationships in large rivers as revealed by high frequency data: Water Resources Research, v. 55, no. 2, p. 973-989, https://doi.org/10.1029/2018WR023478.","productDescription":"17 p.","startPage":"973","endPage":"989","ipdsId":"IP-092633","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":467990,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doaj.org/article/82eeaf2c310645d18b234ef435a83b9c","text":"Publisher Index Page"},{"id":380080,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-02-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Zimmer, Margaret 0000-0001-8287-1923","orcid":"https://orcid.org/0000-0001-8287-1923","contributorId":225158,"corporation":false,"usgs":false,"family":"Zimmer","given":"Margaret","affiliations":[{"id":41054,"text":"Earth and Planetary Sciences, University of California, Santa Cruz, CA, 95064, USA","active":true,"usgs":false}],"preferred":false,"id":803845,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pellerin, Brian A. 0000-0003-3712-7884","orcid":"https://orcid.org/0000-0003-3712-7884","contributorId":204324,"corporation":false,"usgs":true,"family":"Pellerin","given":"Brian A.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":803846,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burns, Douglas A. 0000-0001-6516-2869","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":202943,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas A.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":803847,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Petrochenkov, Gregory Paul 0000-0001-9247-821X","orcid":"https://orcid.org/0000-0001-9247-821X","contributorId":244356,"corporation":false,"usgs":true,"family":"Petrochenkov","given":"Gregory","email":"","middleInitial":"Paul","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":803848,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70216092,"text":"70216092 - 2019 - Subterranean invasion by gapped ringed crayfish: Effectiveness of a removal effort and barrier installation","interactions":[],"lastModifiedDate":"2020-11-05T15:02:16.317428","indexId":"70216092","displayToPublicDate":"2018-12-29T08:56:12","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1398,"text":"Diversity","active":true,"publicationSubtype":{"id":10}},"title":"Subterranean invasion by gapped ringed crayfish: Effectiveness of a removal effort and barrier installation","docAbstract":"<div class=\"art-abstract in-tab hypothesis_container\">Non-native crayfish invasion is a major threat to many stream fauna; however, invasions in subterranean habitats are rarely documented. Our study objectives were to examine demographics and morphological and life-history traits of a gapped ringed crayfish<span>&nbsp;</span><span class=\"html-italic\">Faxonius neglectus chaenodactylus</span><span>&nbsp;</span>population that invaded Tumbling Creek Cave and determine the effects of removal on the population. Crayfish were found throughout the cave though fewer individuals were observed upstream of an installed weir. Fecund females were collected in nearly all months, but were prevalent during spring (February–June). Males and females were of similar sizes. Males had larger chelae and chelae that were regenerated slightly more often than females. Removal of &gt;4000 crayfish since 2011 resulted in reduced abundances, but the population persisted. Age estimates from counting bands on gastric mills indicated crayfish within the cave lived longer than populations in nearby Big Creek (6 vs. 4 years). Recent efforts to prevent upstream cave migrations included a barrier installation and since installation, few crayfish have been located upstream. We show that exploitation of new environments may lead to trait changes (i.e., reproduction and longevity). We also demonstrate that barriers reduce the spread of invasion at a comparable cost to removal. We hypothesize that increased reservoir elevation inundates springs hydrologically connected to the cave and this may be the invasion source.</div>","language":"English","publisher":"MDPI","doi":"10.3390/d11010003","usgsCitation":"Mouser, J., Ashley, D., Aley, T., and Brewer, S.K., 2019, Subterranean invasion by gapped ringed crayfish: Effectiveness of a removal effort and barrier installation: Diversity, v. 11, no. 1, 3, 15 p., https://doi.org/10.3390/d11010003.","productDescription":"3, 15 p.","ipdsId":"IP-103067","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":468014,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/d11010003","text":"Publisher Index Page"},{"id":380190,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"Ozark Highlands ecoregion","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.86169433593749,\n              36.46768069827346\n            ],\n            [\n              -93.23547363281249,\n              36.46768069827346\n            ],\n            [\n              -93.23547363281249,\n              36.780692264862566\n            ],\n            [\n              -93.86169433593749,\n              36.780692264862566\n            ],\n            [\n              -93.86169433593749,\n              36.46768069827346\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-12-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Mouser, J.B.","contributorId":244447,"corporation":false,"usgs":false,"family":"Mouser","given":"J.B.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":804040,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ashley, D.C.","contributorId":244487,"corporation":false,"usgs":false,"family":"Ashley","given":"D.C.","email":"","affiliations":[{"id":48915,"text":"Missouri Western State University","active":true,"usgs":false}],"preferred":false,"id":804041,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aley, T.","contributorId":244488,"corporation":false,"usgs":false,"family":"Aley","given":"T.","email":"","affiliations":[{"id":48916,"text":"Ozark Undergrown Laboratory","active":true,"usgs":false}],"preferred":false,"id":804042,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":804043,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70227885,"text":"70227885 - 2019 - The development of a GIS methodology to identify oxbows and former stream meanders from LiDAR-derived digital elevation models","interactions":[],"lastModifiedDate":"2022-02-03T12:24:03.439393","indexId":"70227885","displayToPublicDate":"2018-12-21T11:01:46","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"The development of a GIS methodology to identify oxbows and former stream meanders from LiDAR-derived digital elevation models","docAbstract":"<p>Anthropogenic development of floodplains and alteration to natural hydrological regimes have resulted in extensive loss of off-channel habitat. Interest has grown in restoring these habitats as an effective conservation strategy for numerous aquatic species. This study developed a process to reproducibly identify areas of former stream meanders to assist future off-channel restoration site selections. Three watersheds in Iowa and Minnesota where off-channel restorations are currently being conducted to aid the conservation of the Topeka Shiner (<span class=\"html-italic\">Notropis topeka</span>) were selected as the study area. Floodplain depressions were identified with LiDAR-derived digital elevation models, and their morphologic and topographic characteristics were described. Classification tree models were developed to distinguish relic streams and oxbows from other landscape features. All models demonstrated a strong ability to distinguish between target and non-target features with area under the receiver operator curve (AUC) values ≥ 0.82 and correct classification rates ≥ 0.88. Solidity, concavity, and mean height above channel metrics were among the first splits in all trees. To compensate for the noise associated with the final model designation, features were ranked by their conditional probability. The results of this study will provide conservation managers with an improved process to identify candidate restoration sites.</p>","language":"English","publisher":"MDPI","doi":"10.3390/rs11010012","usgsCitation":"Zambory, C.L., Ellis, H., Pierce, C., Roe, K., Weber, M.J., Schilling, K.E., and Young, N.C., 2019, The development of a GIS methodology to identify oxbows and former stream meanders from LiDAR-derived digital elevation models: Remote Sensing, v. 11, no. 1, 12, 16 p., https://doi.org/10.3390/rs11010012.","productDescription":"12, 16 p.","ipdsId":"IP-099039","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468016,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs11010012","text":"Publisher Index Page"},{"id":395216,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Minnesota","otherGeospatial":"Boone River watershed, North Raccoon River watershed, Rock River watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.45996093749999,\n              41.11246878918088\n            ],\n            [\n              -93.01025390625,\n              41.11246878918088\n            ],\n            [\n              -93.01025390625,\n              44.36313311380771\n            ],\n            [\n              -96.45996093749999,\n              44.36313311380771\n            ],\n            [\n              -96.45996093749999,\n              41.11246878918088\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Zambory, Courtney L.","contributorId":264754,"corporation":false,"usgs":false,"family":"Zambory","given":"Courtney","email":"","middleInitial":"L.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":832461,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellis, Harvest","contributorId":273018,"corporation":false,"usgs":false,"family":"Ellis","given":"Harvest","email":"","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":832462,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pierce, Clay 0000-0001-5088-5431 cpierce@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-5431","contributorId":150492,"corporation":false,"usgs":true,"family":"Pierce","given":"Clay","email":"cpierce@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832460,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roe, Kevin J.","contributorId":264758,"corporation":false,"usgs":false,"family":"Roe","given":"Kevin J.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":832463,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weber, Michael J.","contributorId":83799,"corporation":false,"usgs":true,"family":"Weber","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":832464,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schilling, Keith E.","contributorId":106429,"corporation":false,"usgs":false,"family":"Schilling","given":"Keith","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":832465,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Young, Nathan C.","contributorId":273025,"corporation":false,"usgs":false,"family":"Young","given":"Nathan","email":"","middleInitial":"C.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":832466,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70203948,"text":"70203948 - 2019 - Long-term soil-water tension measurements in semi-arid environments: A method for automated tensiometer refilling","interactions":[],"lastModifiedDate":"2019-06-24T16:47:57","indexId":"70203948","displayToPublicDate":"2018-12-20T16:42:11","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3674,"text":"Vadose Zone Journal","active":true,"publicationSubtype":{"id":10}},"title":"Long-term soil-water tension measurements in semi-arid environments: A method for automated tensiometer refilling","docAbstract":"<p><span>Tensiometer-equipped data acquisition systems measure and record positive and negative soil-water pressures. These data contribute to studies in hillslope hydrology, including analyses of rainfall runoff, near-surface hydrologic response, and slope stability. However, the unique ability of a tensiometer to rapidly and accurately measure pre- and post-saturation subsurface pressures requires maintenance techniques that have precluded their application to unattended sensor networks in semiarid regions. Under suction, the de-aired water in the tensiometer is drawn from a porous cup. Under positive pressure, dissolved gases from pore water infiltrates the cup. Over time, both contribute to unreliable readings and/or poor signal response through cavitation. To address this problem, we used commercially available equipment to develop a simple system of solenoid valves and a water reservoir that enable automated in situ tensiometer refilling. We tested the system at two post-wildfire hydrologic monitoring sites in the Angeles National Forest, southern California. We present example results from 3 mo of monitoring and show how the tensiometers can be refilled by a remote trigger. By remotely refilling the tensiometer, we were able to continuously monitor quasi-saturated soil pore-water pressures without making repeated and costly maintenance visits.</span></p>","language":"English","publisher":"Soil Science Society of America, Inc","doi":"10.2136/vzj2018.04.0070","usgsCitation":"Smith, J.B., and Kean, J.W., 2019, Long-term soil-water tension measurements in semi-arid environments: A method for automated tensiometer refilling: Vadose Zone Journal, v. 17, no. 1, 180070; 5 p., https://doi.org/10.2136/vzj2018.04.0070.","productDescription":"180070; 5 p.","ipdsId":"IP-102211","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":468018,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2136/vzj2018.04.0070","text":"Publisher Index Page"},{"id":437612,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98G0FS2","text":"USGS data release","linkHelpText":"Hillslope hydrologic monitoring data following the 2009 Station Fire, Los Angeles County, California, November 2015 to June 2017"},{"id":364974,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Joel B. 0000-0001-7219-7875 jbsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-7219-7875","contributorId":4925,"corporation":false,"usgs":true,"family":"Smith","given":"Joel","email":"jbsmith@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":764900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":764901,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70203609,"text":"70203609 - 2019 - UZIG research: Measurement and characterization of unsaturated zone processes under wide-ranging climates and changing conditions","interactions":[],"lastModifiedDate":"2019-05-23T15:21:55","indexId":"70203609","displayToPublicDate":"2018-12-20T15:19:35","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3674,"text":"Vadose Zone Journal","active":true,"publicationSubtype":{"id":10}},"title":"UZIG research: Measurement and characterization of unsaturated zone processes under wide-ranging climates and changing conditions","docAbstract":"<p>Unsaturated zone properties and processes are central to understanding the interacting effects of land-use change, contamination, and hydroclimate on our ability to grow food, sustain clean water supplies, and minimize loss of life and property. Advances in unsaturated zone science are being achieved through collaborations across traditional boundaries where information from biological, physical, and chemical disciplines is combined for new insights. The Unsaturated Zone Interest Group (UZIG) is an organization that exists principally to promote multidisciplinary collaborations and the sharing of ideas, expertise, and technical assets. Here we summarize key findings from 14 papers, several of which originated from a meeting convened by UZIG in 2017 at the University of Florida in Gainesville titled “Land-Use Change, Climate Change, and Hydrologic Extremes: Unsaturated Zone Responses and Feedbacks.” This special section of<span>&nbsp;</span><i>Vadose Zone Journal</i><span>&nbsp;</span>contains multidisciplinary research in three general categories relevant to measuring and understanding unsaturated zone responses to changing land uses and climate: (i) unsaturated zone properties and processes; (ii) soil–plant–atmosphere interactions; and (iii) novel field sampling devices. A strong cross-cutting theme in these papers is the value of continuous monitoring data and ways of utilizing them to discover novel hydrologic, biologic, and pedologic information. As climatic and land-use conditions change and demands for resources and stresses on ecosystems continue to intensify, it is vital to improve our fundamental understanding of the processes at work in the unsaturated zone. Toward that goal, we discuss the need for improved ground-based unsaturated zone monitoring networks.</p>","language":"English","publisher":"ACSESS","doi":"10.2136/vzj2018.11.0198","usgsCitation":"Trost, J.J., Mirus, B.B., Perkins, K., Henson, W.R., Nimmo, J.R., and Munoz-Carpena, R., 2019, UZIG research: Measurement and characterization of unsaturated zone processes under wide-ranging climates and changing conditions: Vadose Zone Journal, v. 17, no. 1, 5 p., https://doi.org/10.2136/vzj2018.11.0198.","productDescription":"5 p.","ipdsId":"IP-102646","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":468019,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2136/vzj2018.11.0198","text":"Publisher Index Page"},{"id":364135,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Trost, Jared J. 0000-0003-0431-2151 jtrost@usgs.gov","orcid":"https://orcid.org/0000-0003-0431-2151","contributorId":3749,"corporation":false,"usgs":true,"family":"Trost","given":"Jared","email":"jtrost@usgs.gov","middleInitial":"J.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mirus, Benjamin B. 0000-0001-5550-014X bbmirus@usgs.gov","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":4064,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin","email":"bbmirus@usgs.gov","middleInitial":"B.","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":763262,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perkins, Kimberlie 0000-0001-8349-447X kperkins@usgs.gov","orcid":"https://orcid.org/0000-0001-8349-447X","contributorId":138544,"corporation":false,"usgs":true,"family":"Perkins","given":"Kimberlie","email":"kperkins@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":763263,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Henson, Wesley R. 0000-0003-4962-5565 whenson@usgs.gov","orcid":"https://orcid.org/0000-0003-4962-5565","contributorId":384,"corporation":false,"usgs":true,"family":"Henson","given":"Wesley","email":"whenson@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763264,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nimmo, John R. 0000-0001-8191-1727 jrnimmo@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-1727","contributorId":757,"corporation":false,"usgs":true,"family":"Nimmo","given":"John","email":"jrnimmo@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":763265,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Munoz-Carpena, Rafael","contributorId":215860,"corporation":false,"usgs":false,"family":"Munoz-Carpena","given":"Rafael","email":"","affiliations":[{"id":39322,"text":"University of Florida at Gainesville","active":true,"usgs":false}],"preferred":false,"id":763266,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70201645,"text":"70201645 - 2019 - Efficient hydrogeological characterization of remote stream corridors using drones","interactions":[],"lastModifiedDate":"2019-01-28T08:22:18","indexId":"70201645","displayToPublicDate":"2018-12-19T15:25:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Efficient hydrogeological characterization of remote stream corridors using drones","docAbstract":"<p><span>This project demonstrates the successful use of small unoccupied aircraft system (sUASs) for hydrogeological characterization of a remote stream reach in a rugged mountain terrain. Thermal infrared, visual imagery, and derived digital surface models are used to inform conceptual models of groundwater/surface‐water exchange and efficiently geolocate zones of preferential groundwater discharge that can be quantified using various ground‐based methodology.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13332","usgsCitation":"Briggs, M.A., Dawson, C.B., Holmquist-Johnson, C., Williams, K.H., and Lane, J.W., 2019, Efficient hydrogeological characterization of remote stream corridors using drones: Hydrological Processes, v. 33, no. 2, p. 316-319, https://doi.org/10.1002/hyp.13332.","productDescription":"4 p.","startPage":"316","endPage":"319","ipdsId":"IP-102696","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":468021,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1491213","text":"Publisher Index Page"},{"id":360579,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-19","publicationStatus":"PW","scienceBaseUri":"5c1b66e5e4b0708288c71d28","contributors":{"authors":[{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":754691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dawson, Cian B. cbdawson@usgs.gov","contributorId":1890,"corporation":false,"usgs":true,"family":"Dawson","given":"Cian","email":"cbdawson@usgs.gov","middleInitial":"B.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":754692,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holmquist-Johnson, Christopher 0000-0002-2782-7687 h-johnsonc@usgs.gov","orcid":"https://orcid.org/0000-0002-2782-7687","contributorId":168648,"corporation":false,"usgs":true,"family":"Holmquist-Johnson","given":"Christopher","email":"h-johnsonc@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":754693,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Kenneth H. 0000-0002-3568-1155","orcid":"https://orcid.org/0000-0002-3568-1155","contributorId":176791,"corporation":false,"usgs":false,"family":"Williams","given":"Kenneth","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":754694,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lane, John W. Jr. 0000-0002-3558-243X jwlane@usgs.gov","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":189168,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":false,"id":754695,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70199932,"text":"ofr20181160 - 2019 - Optimization of salt marsh management at the Bombay Hook National Wildlife Refuge, Delaware, through use of structured decision making","interactions":[],"lastModifiedDate":"2024-03-04T18:49:14.878962","indexId":"ofr20181160","displayToPublicDate":"2018-12-12T09:15:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1160","displayTitle":"Optimization of Salt Marsh Management at the Bombay Hook National Wildlife Refuge, Delaware, Through Use of Structured Decision Making","title":"Optimization of salt marsh management at the Bombay Hook National Wildlife Refuge, Delaware, through use of structured decision making","docAbstract":"<p>Structured decision making is a systematic, transparent process for improving the quality of complex decisions by identifying measurable management objectives and feasible management actions; predicting the potential consequences of management actions relative to the stated objectives; and selecting a course of action that maximizes the total benefit achieved and balances tradeoffs among objectives. The U.S. Geological Survey, in cooperation with the U.S. Fish and Wildlife Service, applied an existing, regional framework for structured decision making to develop a prototype tool for optimizing salt marsh management decisions at the Bombay Hook National Wildlife Refuge in Delaware. Refuge biologists, refuge managers, and research scientists identified multiple potential management actions to improve the ecological integrity of eight salt marsh management units within the refuge and estimated the outcomes of each action in terms of performance metrics associated with each management objective. Value functions previously developed at the regional level were used to transform metric scores to a common utility scale, and utilities were summed to produce a single score representing the total management benefit that would be accrued from each potential management action. Constrained optimization was used to identify the set of management actions, one per salt marsh management unit, that would maximize total management benefits at different cost constraints at the refuge scale. Results indicated that for the objectives and actions considered here, total management benefits would increase consistently up to approximately \\$300,000, but that further expenditures would yield diminishing return on investment. Management actions selected within optimal portfolios at total costs less than \\$300,000 included hydrologic restoration, recontouring adjacent uplands to facilitate marsh migration, and burning the marsh. The prototype presented here provides a framework for decision making at the Bombay Hook National Wildlife Refuge that can be updated as new data and information become available. Insights from this process may also be useful to inform future habitat management planning at the refuge.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181160","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Neckles, H.A., Lyons, J.E., Nagel, J.L., Adamowicz, S.C., Mikula, T., Guiteras, S.T., and Mitchell, L.R., 2018, Optimization of salt marsh management at the Bombay Hook National Wildlife Refuge, Delaware, through use of structured decision making (ver. 1.1,  May 2019): U.S. Geological Survey Open-File Report 2018–1160, 29 p., https://doi.org/10.3133/ofr20181160.","productDescription":"vi, 29 p.","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-098065","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":360083,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1160/coverthb2.jpg"},{"id":364017,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2018/1160/versionHist.txt","text":"Version History","size":"1.35 KB","linkFileType":{"id":2,"text":"txt"}},{"id":360084,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1160/ofr20181160.pdf","text":"Report","size":"26.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1160"}],"country":"United States","state":"Delaware","otherGeospatial":"Bombay Hook National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.52928924560547,\n              39.18410260153466\n            ],\n            [\n              -75.3885269165039,\n              39.18410260153466\n            ],\n            [\n              -75.3885269165039,\n              39.30667511534216\n            ],\n            [\n              -75.52928924560547,\n              39.30667511534216\n            ],\n            [\n              -75.52928924560547,\n              39.18410260153466\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.1: May 29, 2019","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/eesc\" data-mce-href=\"https://www.usgs.gov/centers/eesc\">Eastern Ecological Science Center</a><br>U.S. Geological Survey<br>12100 Beech Forest Road<br>Laurel, MD 20708</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Regional Structured Decision-Making Framework</li><li>Application to the Bombay Hook National Wildlife Refuge</li><li>Results of Constrained Optimization</li><li>Considerations for Optimizing Salt Marsh Management</li><li>References Cited</li><li>Appendix 1. Regional Influence Diagrams</li><li>Appendix 2. Utility Functions for the Bombay Hook National Wildlife Refuge</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2018-12-12","revisedDate":"2019-05-24","noUsgsAuthors":false,"publicationDate":"2018-12-12","publicationStatus":"PW","scienceBaseUri":"5c122c53e4b034bf6a8569d9","contributors":{"authors":[{"text":"Neckles, Hilary A. 0000-0002-5662-2314 hneckles@usgs.gov","orcid":"https://orcid.org/0000-0002-5662-2314","contributorId":3821,"corporation":false,"usgs":true,"family":"Neckles","given":"Hilary","email":"hneckles@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":747363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyons, James E. 0000-0002-9810-8751 jelyons@usgs.gov","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":177546,"corporation":false,"usgs":true,"family":"Lyons","given":"James","email":"jelyons@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":747364,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nagel, Jessica L. 0000-0002-4437-0324 jnagel@usgs.gov","orcid":"https://orcid.org/0000-0002-4437-0324","contributorId":3976,"corporation":false,"usgs":true,"family":"Nagel","given":"Jessica","email":"jnagel@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":747365,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adamowicz, Susan C.","contributorId":174712,"corporation":false,"usgs":false,"family":"Adamowicz","given":"Susan","email":"","middleInitial":"C.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":true,"id":747366,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mikula, Toni","contributorId":208473,"corporation":false,"usgs":false,"family":"Mikula","given":"Toni","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":747367,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Guiteras, Susan T.","contributorId":208474,"corporation":false,"usgs":false,"family":"Guiteras","given":"Susan","email":"","middleInitial":"T.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":747368,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mitchell, Laura R.","contributorId":208475,"corporation":false,"usgs":false,"family":"Mitchell","given":"Laura","email":"","middleInitial":"R.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":747369,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70201225,"text":"70201225 - 2019 - Coastal wetlands: A synthesis","interactions":[],"lastModifiedDate":"2018-12-07T15:18:55","indexId":"70201225","displayToPublicDate":"2018-12-07T15:18:52","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Coastal wetlands: A synthesis","docAbstract":"<p><span>This book and this synthesis address the pressing need for better management of&nbsp;coastal wetlands&nbsp;worldwide because these&nbsp;wetlands&nbsp;are disappearing at an alarming rate; in some countries the loss is 70%–80% in the last 50</span><span>&nbsp;</span><span>years. Managing requires understanding. Although our understanding of the functioning of coastal wetland ecosystems has grown rapidly over the past decade, still much remains to be learned and understood. We have gained insight into the roles of&nbsp;geomorphic processes, hydrologic dynamics, biotic feedback, and disturbance agents in creating and molding a variety of coastal wetland ecosystems across climatic gradients. The variety is expressed not so much in the more obvious differences in&nbsp;vegetation cover, but rather how physical processes both facilitate and constrain a diversity of plant and&nbsp;animal communities. At one level, coastal wetlands are the product of tidal forces and&nbsp;freshwater inputs&nbsp;at the margin of continents. At another level, the plants control the&nbsp;water currents&nbsp;in the tidal creeks draining the wetlands by generating a&nbsp;tidal current&nbsp;asymmetry that controls&nbsp;sediment transport&nbsp;and results in a deep tidal creek surrounded by shallow vegetated wetlands. The vegetation also influences the physics of water and sediment through several other processes including&nbsp;biofilms,&nbsp;bioturbation&nbsp;of sediments, the buffeting of currents and waves, organic enrichment of sediments, and the closing of nutrient cycles. Few ecosystems provide us with so many clear examples of such&nbsp;feedback controls. What we do understand about the structure and functioning of coastal wetlands should provide the theoretical underpinnings for effective management in protecting them for their many contributions to ecosystem goods and services. What we do not understand should compel us to focus our attention and energies toward seeking optimal solutions to some of the most perplexing and urgent problems facing&nbsp;natural resource management.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coastal wetlands: An integrated ecosystem approach","language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-444-63893-9.00001-0","usgsCitation":"Hopkinson, C.S., Wolanski, E., Cahoon, D.R., Perillo, G.M., and Brinson, M.M., 2019, Coastal wetlands: A synthesis, chap. <i>of</i> Coastal wetlands: An integrated ecosystem approach, p. 1-75, https://doi.org/10.1016/B978-0-444-63893-9.00001-0.","productDescription":"75 p.","startPage":"1","endPage":"75","ipdsId":"IP-098675","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":360068,"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":"5c0b9570e4b0c53ecb2aca78","contributors":{"editors":[{"text":"Perillo, Gerardo M. 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