Recreational angler surveys typically collect information on how anglers access a fishery. Yet, it is unclear how this information is useful for fisheries management and conservation. The objective of this study was to compare behavior (e.g., party size, time fished, and numbers of fish released and harvested) of bank and boat anglers, representing two angler-access types. Bank and boat anglers were surveyed across 29 Nebraska waterbodies from April through October, 2007–2017. We documented behavioral differences between bank and boat anglers that varied as a function of waterbody size and season. Patterns of party size, time fished, and numbers of fish released and harvested for bank and boat anglers differed across extra small, small, medium, and large waterbodies and across spring, summer, and fall. How anglers choose to access a fishery appears to be a source of heterogeneity within angler populations. Accounting for these spatial and temporal behavioral differences between angler-access types will be important for designing and implementing management regulations. We predict that angler-access types may respond uniquely to different management actions (e.g., size and bag limits, access maintenance, and cleanliness of amenities) that could lead to local and regional changes within and across fisheries (e.g., shift the composition of angler-access types). Continued collection and assessment of angler-access information is warranted and should lead to improved management and conservation of recreational fisheries.
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\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kane, D. S.","contributorId":271090,"corporation":false,"usgs":false,"family":"Kane","given":"D.","email":"","middleInitial":"S.","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":830792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaemingk, Mark A","contributorId":245554,"corporation":false,"usgs":false,"family":"Kaemingk","given":"Mark","email":"","middleInitial":"A","affiliations":[{"id":49225,"text":"U. of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":830793,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chizinski, Christopher J.","contributorId":7178,"corporation":false,"usgs":false,"family":"Chizinski","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":830794,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pope, Kevin L. 0000-0003-1876-1687","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":270762,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"","middleInitial":"L.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":830795,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70227707,"text":"70227707 - 2020 - Reverberating effects of resource exchanges in stream–riparian food webs","interactions":[],"lastModifiedDate":"2022-01-27T14:56:22.192126","indexId":"70227707","displayToPublicDate":"2019-12-11T08:49:13","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Reverberating effects of resource exchanges in stream–riparian food webs","docAbstract":"Fluxes of materials or organisms across ecological boundaries, often termed “resource subsidies,” directly affect recipient food webs. Few studies have addressed how such direct responses in one ecosystem may, in turn, influence the fluxes of materials or organisms to other habitats or the potential for feedback relationships to occur among ecosystems. As part of a large-scale, multi-year experiment, we evaluated the hypothesis that the input of a marine-derived subsidy results in a complex array of resource exchanges (i.e., inputs, outputs, feedbacks) between stream and riparian ecosystems as responses disperse across ecological boundaries. Moreover, we evaluated how the physical properties of resource subsidies mediated complex responses by contrasting carcasses with a pelletized salmon treatment. We found that salmon carcasses altered stream–riparian food webs by directly subsidizing multiple aquatic and terrestrial organisms (e.g., benthic insect larvae, fishes, and terrestrial flies). Such responses further influenced food webs along indirect pathways, some of which spanned land and water (e.g., subsidized fishes reduced aquatic insect emergence, with consequences for spiders and bats). Subsidy-mediated feedbacks manifested when carcasses were removed to riparian habitats where they were colonized by carrion flies, some of which fell into the stream and acted as another prey subsidy for fishes. As the effects of salmon subsidies propagated through the stream–riparian food web, the sign of consumer responses was not always positive and appeared to be determined by the outcome of trophic interactions, such that localized trophic interactions within one ecosystem mediated the export of organisms to others.
","language":"English","publisher":"Springer Link","doi":"10.1007/s00442-019-04574-y","usgsCitation":"Collins, S.F., Baxter, C., Marcarelli, A., Felicetti, L., Florin, S., Wipfli, M.S., and Servheen, G., 2020, Reverberating effects of resource exchanges in stream–riparian food webs: Oecologia, v. 192, p. 179-189, https://doi.org/10.1007/s00442-019-04574-y.","productDescription":"11 p.","startPage":"179","endPage":"189","ipdsId":"IP-077165","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":394968,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"North Fork Boise River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.66955566406249,\n 43.71950494269107\n ],\n [\n -114.774169921875,\n 43.71950494269107\n ],\n [\n -114.774169921875,\n 44.09153051045218\n ],\n [\n -115.66955566406249,\n 44.09153051045218\n ],\n [\n -115.66955566406249,\n 43.71950494269107\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"192","noUsgsAuthors":false,"publicationDate":"2019-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Collins, Scott F.","contributorId":172292,"corporation":false,"usgs":false,"family":"Collins","given":"Scott","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":831849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baxter, Colden V.","contributorId":272243,"corporation":false,"usgs":false,"family":"Baxter","given":"Colden V.","affiliations":[{"id":56375,"text":"isu","active":true,"usgs":false}],"preferred":false,"id":831850,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marcarelli, Amy M.","contributorId":272244,"corporation":false,"usgs":false,"family":"Marcarelli","given":"Amy M.","affiliations":[{"id":56375,"text":"isu","active":true,"usgs":false}],"preferred":false,"id":831851,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Felicetti, Laura","contributorId":272245,"corporation":false,"usgs":false,"family":"Felicetti","given":"Laura","email":"","affiliations":[{"id":56376,"text":"wsu","active":true,"usgs":false}],"preferred":false,"id":831852,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Florin, Scott","contributorId":272246,"corporation":false,"usgs":false,"family":"Florin","given":"Scott","email":"","affiliations":[{"id":56376,"text":"wsu","active":true,"usgs":false}],"preferred":false,"id":831853,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":831854,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Servheen, Gregg","contributorId":272247,"corporation":false,"usgs":false,"family":"Servheen","given":"Gregg","email":"","affiliations":[{"id":56023,"text":"idfg","active":true,"usgs":false}],"preferred":false,"id":831855,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70207821,"text":"70207821 - 2020 - Dimensional effects of inter-phase mass transfer on attenuation of structurally trapped gaseous carbon dioxide in shallow aquifers","interactions":[],"lastModifiedDate":"2020-12-14T13:14:53.68955","indexId":"70207821","displayToPublicDate":"2019-12-09T15:50:58","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2228,"text":"Journal of Computational Physics","active":true,"publicationSubtype":{"id":10}},"title":"Dimensional effects of inter-phase mass transfer on attenuation of structurally trapped gaseous carbon dioxide in shallow aquifers","docAbstract":"Based on experimental evidence and using mathematical modeling, inter-phase mass transfer processes of CO2 exsolving from and dissolving into water in heterogeneous porous media are investigated under two fundamentally different flow conditions: in a quasi one dimensional vertical column and in a two-dimensional tank with a lateral background water flow, both at laboratory scale. In both cases, the CO2 dissolved in water under a given overpressure is injected for a certain period at the bottom of the tank, exsolves, and migrates upwards. A layer of fine sand is present in the tanks designed to mimic geological scenarios of accumulation and trapping of exsolved CO2 in shallow aquifers. Then, clean water is injected and the accumulated CO2 is dissolved back into the flowing water. The study aims to point out the differences in the mass transfer processes between the quasi-1D and 2D cases using a mathematical model of two-phase compositional flow in heterogeneous porous media calibrated to the experimental datasets, and expose strategies that should be explored in future research. Additionally, temperature variations observed during the 2D experiments allow for analysis of isothermal versus non-isothermal effects on the processes of multiphase CO2 evolution. The mathematical model is discretized and solved using the mixed hybrid finite element method in 2D that allows for the simulation of both advection- and diffusion-dominated processes accurately.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jcp.2019.109178","usgsCitation":"Jakub Solovsky, Radek Fucik, Plampin, M.R., Illangasekare, T.H., and Jiri Mikyska, 2020, Dimensional effects of inter-phase mass transfer on attenuation of structurally trapped gaseous carbon dioxide in shallow aquifers: Journal of Computational Physics, v. 405, 109178, https://doi.org/10.1016/j.jcp.2019.109178.","productDescription":"109178","ipdsId":"IP-104741","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":458403,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1580146","text":"Publisher Index Page"},{"id":371236,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"405","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jakub Solovsky","contributorId":217696,"corporation":false,"usgs":false,"family":"Jakub Solovsky","affiliations":[{"id":39686,"text":"Czech Technical University in Prague","active":true,"usgs":false}],"preferred":false,"id":779439,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Radek Fucik","contributorId":217697,"corporation":false,"usgs":false,"family":"Radek Fucik","affiliations":[{"id":39686,"text":"Czech Technical University in Prague","active":true,"usgs":false}],"preferred":false,"id":779440,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plampin, Michelle R. 0000-0003-4068-5801 mplampin@usgs.gov","orcid":"https://orcid.org/0000-0003-4068-5801","contributorId":204983,"corporation":false,"usgs":true,"family":"Plampin","given":"Michelle","email":"mplampin@usgs.gov","middleInitial":"R.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":779441,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Illangasekare, Tissa H.","contributorId":194933,"corporation":false,"usgs":false,"family":"Illangasekare","given":"Tissa","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":779442,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jiri Mikyska","contributorId":217700,"corporation":false,"usgs":false,"family":"Jiri Mikyska","affiliations":[{"id":39686,"text":"Czech Technical University in Prague","active":true,"usgs":false}],"preferred":false,"id":779443,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70209005,"text":"70209005 - 2020 - Declining aluminum toxicity and the role of exposure duration on brook trout mortality in acidified streams of the Adirondack Mountains, New York, USA","interactions":[],"lastModifiedDate":"2021-01-08T14:19:41.180432","indexId":"70209005","displayToPublicDate":"2019-12-09T14:00:16","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Declining aluminum toxicity and the role of exposure duration on brook trout mortality in acidified streams of the Adirondack Mountains, New York, USA","docAbstract":"Mortality of brook trout Salvelinus fontinalis and water chemistry were characterized in 6 headwater streams in the western Adirondacks of New York during spring 2015, 2016, and 2017 and compared with results from analogous tests done between 1980 and 2003 in many of the same streams, to assess temporal changes in toxicity and inorganic monomeric aluminum (Ali) concentrations, and the role of Ali exposure duration on brook trout survival. The Ali concentrations of 2 and 4 µmol L–1 corresponded to low‐to‐moderate and high mortality thresholds, but prolonged exposure to ≥1 µmol Ali L–1 also produced mortality. The variability, mean, and highest Ali concentrations in Buck Creek year round, and in several other streams during spring, have decreased significantly over the past 3 decades. Logistic models indicate that Ali surpassed highly toxic concentrations in Buck Creek for 3 to 4 mo annually during 2001 to 2003 and for 2 to 3 wk annually during 2015 to 2017. The loss of extremely high Ali episodes indicates that toxicity has declined markedly between the 1989 to 1990, 2001 to 2003, and 2015 to 2017 test periods, yet Ali concentrations can still cause moderate‐to‐high and complete (100%) mortality. The logistic models illustrate how mortality of brook trout in several Adirondack streams likely decreased in response to the 1990 Amendments to the United States' Clean Air Act (which decreased acidity, Ali concentrations, and duration of toxic episodes) and offer a means to predict how changes in US regulations that limit emissions of NOx and SOx (and N and S deposition loads) could affect fish survival and stream ecosystems in this region and across the Northeast.
","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.4645","usgsCitation":"Baldigo, B.P., George, S., Lawrence, G.B., and Paul, E.A., 2020, Declining aluminum toxicity and the role of exposure duration on brook trout mortality in acidified streams of the Adirondack Mountains, New York, USA: Environmental Toxicology and Chemistry, v. 39, no. 3, p. 623-636, https://doi.org/10.1002/etc.4645.","productDescription":"14 p.","startPage":"623","endPage":"636","ipdsId":"IP-110828","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":458405,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.4645","text":"Publisher Index Page"},{"id":373103,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.98306274414062,\n 43.6912114102249\n ],\n [\n -74.66514587402344,\n 43.6912114102249\n ],\n [\n -74.66514587402344,\n 43.830068853318785\n ],\n [\n -74.98306274414062,\n 43.830068853318785\n ],\n [\n -74.98306274414062,\n 43.6912114102249\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"39","issue":"3","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2019-12-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":784506,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"George, Scott 0000-0002-2111-6817 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-2111-6817","contributorId":223202,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":784507,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":784509,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paul, Eric A. 0000-0003-0706-0076","orcid":"https://orcid.org/0000-0003-0706-0076","contributorId":223203,"corporation":false,"usgs":false,"family":"Paul","given":"Eric","email":"","middleInitial":"A.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":784508,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70208802,"text":"70208802 - 2020 - Toward ecosystem accounts for Rwanda: Tracking 25 years of change in potential supply and flows of ecosystem services","interactions":[],"lastModifiedDate":"2021-10-22T19:44:22.967675","indexId":"70208802","displayToPublicDate":"2019-12-09T12:36:59","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5936,"text":"People and Nature","active":true,"publicationSubtype":{"id":10}},"title":"Toward ecosystem accounts for Rwanda: Tracking 25 years of change in potential supply and flows of ecosystem services","docAbstract":"1. Rwanda, a small but rapidly developing central African nation, has undertaken development of natural capital accounts to better inform its economic development through the World Bank’s Wealth Accounting and Valuation of Ecosystem Services (WAVES) Partnership. In this paper, we develop ecosystem service (ES) models to quantify the physical supply components of ecosystem accounts in Rwanda from 1990 to 2015.
2. We applied the InVEST carbon storage, sediment delivery ratio, and annual and seasonal water yield models to map changes in potential ES supply nationwide. We also quantified flows of sediment and water to 96 hydroelectric dam, irrigation dam, and water treatment plant sites.
3. Over a 25-year period, we found declines in all ES, which were most strongly driven by conversion of forests to cropland. Declines were most pronounced from 1990 to 2000 and 2010 to 2015; ES were relatively stable from 2000 to 2010. From 2010 to 2015, over 42% of Rwanda’s water-use sites (representing 17% of the nation’s hydroelectric generation capacity and 69% of its water treatment capacity) had increases in sediment export and quick flow greater than the national average.
4. Our results quantify nationwide ES trends, their implications for key water-dependent industries, and the importance of protected areas in safeguarding ES potential supply and flows in Rwanda. They also provide data that can be integrated with existing land, water, and economic accounts for Rwanda, as well as a baseline to inform development strategies that better link economic and environmental goals.
","language":"English","publisher":"British Ecological Society","doi":"10.1002/pan3.10062","usgsCitation":"Bagstad, K.J., Ingram, J.C., Lange, G., Masozera, M.K., Ancona, Z.H., Bana, M., Kabogo, D., Musana, B., Nabahungu, N.L., Rukundo, E., Rutebuka, E., Polasky, S., Rugege, D., and Uwera, C., 2020, Toward ecosystem accounts for Rwanda: Tracking 25 years of change in potential supply and flows of ecosystem services: People and Nature, v. 1, no. 2, p. 163-188, https://doi.org/10.1002/pan3.10062.","productDescription":"26 p.","startPage":"163","endPage":"188","ipdsId":"IP-090139","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":458407,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/pan3.10062","text":"Publisher Index Page"},{"id":437190,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F72806JN","text":"USGS data 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Minnesota","active":true,"usgs":false}],"preferred":false,"id":783447,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Rugege, Denis","contributorId":222900,"corporation":false,"usgs":false,"family":"Rugege","given":"Denis","email":"","affiliations":[],"preferred":false,"id":783450,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Uwera, Claudine 0000-0002-9490-3969","orcid":"https://orcid.org/0000-0002-9490-3969","contributorId":222901,"corporation":false,"usgs":false,"family":"Uwera","given":"Claudine","email":"","affiliations":[{"id":40624,"text":"University of Rwanda","active":true,"usgs":false}],"preferred":false,"id":783451,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70211969,"text":"70211969 - 2020 - Roosting habitat use by sandhill cranes and waterfowl on the North and South Platte Rivers in Nebraska","interactions":[],"lastModifiedDate":"2025-07-10T21:19:05.547791","indexId":"70211969","displayToPublicDate":"2019-12-03T15:41:42","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Roosting habitat use by sandhill cranes and waterfowl on the North and South Platte Rivers in Nebraska","docAbstract":"Migration ecology and habitat use of spring migrating birds using the Central Platte River is a well-explored topic, yet less is known about use of the North and South Platte rivers (NSPR) in western Nebraska. The efficiency and effectiveness of conservation efforts in the NSPR could be greatly improved with access to information about where and when birds roost and landscape prioritization tools. We used aerial surveys to determine population distribution and migration phenology of sandhill cranes Antigone canadensis, Canada geese Branta canadensis, and ducks using the NSPR for roosting during the mid-February to mid-April spring migration. We used these data and geospatial information to identify important river reaches for these species and habitat covariates that discriminate between those used at lower and higher densities. We found that sandhill cranes and waterfowl generally roosted in different segments of the NSPR and, subsequently, different factors were associated with high densities. Sandhill crane density was positively correlated with distance from obstructions greater than 1 m high and negatively correlated with area of unvegetated sandbar within 1 km. Density of Canada geese and ducks was high in segments positively associated with wetland and sand pit habitats. Human disturbance variables such as roads and bridges in this rural region had little effect on identification of roosting areas used by high densities of all groups. On the basis of our results, habitat conservation efforts that specifically target sandhill cranes will not have similar positive effects on waterfowl use and distribution in the NSPR. Our identification of the most important river segments should allow managers to better target land acquisition or management resources to areas that will have the greatest effect on either waterfowl or sandhill cranes during spring migration.
","language":"English","publisher":"U.S. Fish & Wildlife Service","doi":"10.3996/042019-JFWM-030","usgsCitation":"Varner, D.M., Pearse, A.T., Bishop, A., Davis, J., Denton, J., Grosse, R., Johnson, H., Munter, E., Schroeder, K.D., Spangler, R.E., Vrtiska, M., and Wright, A., 2020, Roosting habitat use by sandhill cranes and waterfowl on the North and South Platte Rivers in Nebraska: Journal of Fish and Wildlife Management, v. 11, p. 56-67, https://doi.org/10.3996/042019-JFWM-030.","productDescription":"12 p.","startPage":"56","endPage":"67","ipdsId":"IP-092984","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":458419,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/042019-jfwm-030","text":"Publisher Index Page"},{"id":377439,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"North and South Platte Rivers","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.699951171875,\n 40.718119379753446\n ],\n [\n -100.4150390625,\n 40.718119379753446\n ],\n [\n -100.4150390625,\n 41.90636538970964\n ],\n [\n -103.699951171875,\n 41.90636538970964\n ],\n [\n -103.699951171875,\n 40.718119379753446\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2019-12-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Varner, Dana M","contributorId":238096,"corporation":false,"usgs":false,"family":"Varner","given":"Dana","email":"","middleInitial":"M","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":796008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearse, Aaron T. 0000-0002-6137-1556 apearse@usgs.gov","orcid":"https://orcid.org/0000-0002-6137-1556","contributorId":1772,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron","email":"apearse@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":796009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bishop, Andrew","contributorId":198583,"corporation":false,"usgs":false,"family":"Bishop","given":"Andrew","affiliations":[],"preferred":false,"id":796010,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Jonas","contributorId":238097,"corporation":false,"usgs":false,"family":"Davis","given":"Jonas","email":"","affiliations":[{"id":36215,"text":"Ducks Unlimited","active":true,"usgs":false}],"preferred":false,"id":796011,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Denton, 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Service","active":true,"usgs":false}],"preferred":false,"id":796015,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schroeder, Kirk D","contributorId":222655,"corporation":false,"usgs":false,"family":"Schroeder","given":"Kirk","email":"","middleInitial":"D","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":796016,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Spangler, Robert E.","contributorId":200420,"corporation":false,"usgs":false,"family":"Spangler","given":"Robert","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":796017,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Vrtiska, Mark P.","contributorId":201604,"corporation":false,"usgs":false,"family":"Vrtiska","given":"Mark","middleInitial":"P.","affiliations":[{"id":36216,"text":"NE Game & Parks","active":true,"usgs":false}],"preferred":false,"id":796018,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wright, Angelina","contributorId":238100,"corporation":false,"usgs":false,"family":"Wright","given":"Angelina","email":"","affiliations":[{"id":36215,"text":"Ducks Unlimited","active":true,"usgs":false}],"preferred":false,"id":796019,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70218301,"text":"70218301 - 2020 - Controls on debris‐flow initiation on burned and unburned hillslopes during an exceptional rainstorm in southern New Mexico, USA","interactions":[],"lastModifiedDate":"2021-03-08T12:38:06.42036","indexId":"70218301","displayToPublicDate":"2019-12-02T07:15:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Controls on debris‐flow initiation on burned and unburned hillslopes during an exceptional rainstorm in southern New Mexico, USA","docAbstract":"AbstractUsing observations from 688 debris flows, we analyse the hydrologic and landscape characteristics that influenced debris‐flow initiation mechanisms and locations in a watershed that had been partially burned by the 2012 Whitewater‐Baldy Complex Fire in the Gila Mountains, southern New Mexico. Debris flows can initiate due to different processes. Slopes can fail as discrete landslides and then become fluidized and move downstream as debris flows (landslide initiated) or progressive bulking of sediment from a distributed area can become channelized and concentrated as it moves downslope (runoff generated). In this study, we have an unusual opportunity to investigate both types of debris‐flow initiation mechanisms in our observations of debris flows, triggered by an exceptional rainstorm in the autumn of 2013. Additionally, we compare our observations with those of a dataset of 1138 debris flows in the Colorado Front Range, triggered during the same weather system. We found that runoff‐generated debris flows dominated in burn areas, and runoff required to start these flows could be well characterized by the Shields stress. Landslide‐initiated debris flows were dominant in unburned areas. Debris‐flow densities were tied to total rainfall and precipitation intensities. Like the observations in the Colorado Front Range, debris‐flow initiation locations were found primarily in areas of relatively sparse vegetation on south‐facing slopes between 25 and 40°, and with upslope contributing areas less than 1000 m2. In terms of preferential locations for debris‐flow initiations, 2013 vegetation coverage, approximated by Green–Red Vegetation Index metrics, proved to be more influential than the 2012 burn‐severity designation. The uniformity of observations between our study area and those in the Colorado Front Range indicate that the underlying hydrologic and landscape patterns of the debris‐flow initiation locations documented in these studies could be applicable to the wider southwest and Rocky Mountain regions.
Adult Pacific Salmon Oncorhynchus spp. undertake energetically demanding migrations wherein they must have adequate energy reserves to survive to spawning locations and reproduce. Proximate analysis provides insight into available energy stores (e.g., lipids), but the ability to non-lethally monitor energetic status may be useful for managers to better understand how energetic status affects salmon populations in light of population declines and threats from climate change and habitat alteration. Chinook Salmon Oncorhynchus tshawytscha (N = 129) were sampled for proximate analysis from four populations in Alaska to examine variation in energetic status pre- and post-spawning migration and to create predictive bioelectrical impedance analysis (BIA) models for this species. We also tested two BIA devices (Q2 and CQR), whether models were generalizable to a con-specific (Chum Salmon Oncorhynchus keta), and the feasibility of integrating BIA into field studies. Populations sampled pre- spawning migration had higher percent lipid (N = 77; mean = 42.57%) than those collected post spawning migration (N = 52; mean = 19.71%). Total percent lipid and water were more accurately predicted from the Q2 device based on BIA measurements (RMSE = 5.33; RMSE = 2.43, respectively), relative to CQR device measurements (RMSE = 6.27; RMSE = 2.66). Between-species (Chinook to Chum RMSE = 19.47; Chum to Chinook RMSE = 7.69) models were less accurate than species specific models created for Chinook and Chum Salmon, therefore single species models should be used. We field-tested the BIA model to predict Chinook Salmon %lipid and %water on a remote Southeast Alaska river. Techniques were quickly taught to field crews and predictions were similar to other pre-spawning migration estimates. Our results indicate that integration of BIA into population monitoring could be a valuable tool to assess spatial and temporal patterns of energetic status of Chinook Salmon.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10398","usgsCitation":"Courtney, K.R., Falke, J.A., Cox, M., and Nichols, J., 2020, Energetic status of Alaskan Chinook Salmon: Interpopulation comparisons and predictive modeling using bioelectrical impedance analysis: North American Journal of Fisheries Management, v. 40, no. 1, p. 209-224, https://doi.org/10.1002/nafm.10398.","productDescription":"16 p.","startPage":"209","endPage":"224","ipdsId":"IP-098108","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395734,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Chena River, Delta River, Emmonak, Nushagak River, Stikine River, Tanana River, Yukon River, Whitman Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -528.7939453125,\n 52.96187505907603\n ],\n [\n -486.8701171875,\n 52.96187505907603\n ],\n [\n -486.8701171875,\n 62.61356210229029\n ],\n [\n -528.7939453125,\n 62.61356210229029\n ],\n [\n -528.7939453125,\n 52.96187505907603\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-11-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Courtney, Kristin R.","contributorId":275181,"corporation":false,"usgs":false,"family":"Courtney","given":"Kristin","email":"","middleInitial":"R.","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":833780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":833781,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cox, M. Keith","contributorId":275182,"corporation":false,"usgs":false,"family":"Cox","given":"M. Keith","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":833782,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nichols, Jeff","contributorId":275183,"corporation":false,"usgs":false,"family":"Nichols","given":"Jeff","email":"","affiliations":[{"id":54573,"text":"AK FG","active":true,"usgs":false}],"preferred":false,"id":833783,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70215155,"text":"70215155 - 2020 - Coldwater periods in warmwater streams: Microhabitat shifts from autumn to winter by Smallmouth Bass","interactions":[],"lastModifiedDate":"2020-10-08T23:24:45.055425","indexId":"70215155","displayToPublicDate":"2019-11-28T18:15:42","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Coldwater periods in warmwater streams: Microhabitat shifts from autumn to winter by Smallmouth Bass","docAbstract":"Seasonal and life stage variation in microhabitat use is an important driver of fish survival and bioenergetics, but knowledge of microhabitat selection during colder periods is generally lacking in warmwater streams. Our objective was to examine changes in microhabitat selection by age‐0 (TL ≤ 85 mm) and age‐1+ (TL > 85 mm) Smallmouth Bass Micropterus dolomieu from autumn to winter in streams of the southwest Ozark Highlands ecoregion. We examined microhabitat selection (depth, velocity, substrate, cover, and temperature) during autumn 2017 (Spavinaw Creek) and winter 2018 (Spavinaw and Spring creeks). During autumn and winter, age‐0 fish selected intermediate depths of approximately 1 m, whereas age‐1+ fish selected the deepest available habitat. Water depth selection was similar across seasons for both life stages. Both age‐0 and age‐1+ bass selected areas of zero velocity, increasing substrate size, instream cover, and warmwater patches in autumn. Velocity selection differed between autumn and winter with both life stages showing stronger selection of low velocity patches (0.1–0.3 m/s) during winter. Both life stages shifted to having no substrate selection during winter. Age‐1+ bass were more likely than age‐0 bass to use cover during autumn, but this relationship shifted in winter to the age‐0 cohort increasing their selection of cover and the age‐1+ cohort decreasing their selection. Both age‐0 and age‐1+ bass selected relatively warmer habitats during autumn, but not winter. Collectively, our results highlight both seasonal and life stage variation in Smallmouth Bass microhabitat selection. As our understanding of habitat selection across seasons develops, the management of Smallmouth Bass will undoubtedly improve. Changing environmental conditions over time may influence available habitat as well as the timing of seasonal shifts across a range of spatial and temporal scales, including microhabitat patches.
Present-day topographic changes are observed on steep slopes in equatorial regions of Mars that are associated with sulfate-rich sediments. Hydrated sulfates are known to be present in many sedimentary deposits on Mars. We document volume changes in the form of mass movements and gullies over these regions. We have estimated erosion rates of ~12 mm/yr (or ~1.2–120 mm/yr with uncertainties) over steep slopes on sulfate-rich mounds in Ganges Chasma, much higher than Mars average erosion rate near a few μm/yr. At this rate, the mounds would have shrunk in diameter by ~18,000 km over 3 b.y., which greatly exceeds the width of the canyon, supporting suggestions that these sediments once filled the canyons. Due to the soft nature of typical sulfate-rich sediment, it is susceptible to mass wasting, and active eolian processes may remove loose material to maintain steep slopes. The water in hydrated sulfates could potentially be extracted and used as a resource for future humans on Mars, and our results suggest that such deposits would be mechanically weak.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2019.113566","usgsCitation":"Thomas, M.F., McEwen, A.S., and Dundas, C.M., 2020, Present-day mass wasting in sulfate-rich sediments in the equatorial regions of Mars: Icarus, v. 342, 113566, 10 p., https://doi.org/10.1016/j.icarus.2019.113566.","productDescription":"113566, 10 p.","ipdsId":"IP-110511","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":377142,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"342","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Thomas, Melissa F","contributorId":237039,"corporation":false,"usgs":false,"family":"Thomas","given":"Melissa","email":"","middleInitial":"F","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":795042,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McEwen, Alfred S.","contributorId":61657,"corporation":false,"usgs":false,"family":"McEwen","given":"Alfred","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":795043,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dundas, Colin M. 0000-0003-2343-7224 cdundas@usgs.gov","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":2937,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin","email":"cdundas@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":795044,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70218479,"text":"70218479 - 2020 - Deposition potential and flow-response dynamics of emergent sandbars in a braided river","interactions":[],"lastModifiedDate":"2021-03-02T13:01:45.819116","indexId":"70218479","displayToPublicDate":"2019-11-23T08:35:02","publicationYear":"2020","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":"Deposition potential and flow-response dynamics of emergent sandbars in a braided river","docAbstract":"Sandbars are ubiquitous in sandy‐braided rivers throughout the world. In the Great Plains of the United States, recovery and expansion of emergent sandbar habitat (ESH) has been a priority in lowland rivers where the natural extent of sandbars has been degraded. Recovery efforts are aimed at protection of populations of the interior least tern (Sterna antillarum) and piping plover (Charadrius melodus). But quantitative observations of deposition and erosion dynamics of populations of sandbars across long segments of rivers are rare. We present a three‐part case study which used Bayesian regression models to examine relations between hydrology, channel morphology, and ESH responses in the Platte River, eastern Nebraska. Logistic regression indicates presence of ESH is positively related to the Parker, (1976) stability criterion and a gradient in sediment transport mode, and negatively related to presence of vegetation. Hierarchical linear regression modeling shows direct coupling between sandbar top‐surface height and formative flood magnitude, but the gap between formative flood stage and sandbar top‐surface increases with increasing discharge. Finally, linear regression modeling of sandbar erosion demonstrates rates of ESH erosion are on the order of 10−1 ha/day during high‐flow periods and 10−2 during low‐flow periods, but sandbar persistence is largely a function of sandbar starting size. The collective observations highlight the importance of large floods (>3‐year recurrence) in creating very large sandbars that persist as high‐quality ESH over periods of years whereas lower‐magnitude, more‐frequent flood events create lower‐quality ESH that typically does not persist into the following nesting season.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018WR024107","usgsCitation":"Alexander, J., McElroy, B., Huzurbazar, S., Elliott, C.M., and Murr, M.L., 2020, Deposition potential and flow-response dynamics of emergent sandbars in a braided river: Water Resources Research, v. 56, no. 1, e2018WR024107, 23 p., https://doi.org/10.1029/2018WR024107.","productDescription":"e2018WR024107, 23 p.","ipdsId":"IP-098093","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":383680,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"Platte River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.11865234374999,\n 40.66397287638688\n ],\n [\n -95.8502197265625,\n 40.66397287638688\n ],\n [\n -95.8502197265625,\n 42.11859868281563\n ],\n [\n -99.11865234374999,\n 42.11859868281563\n ],\n [\n -99.11865234374999,\n 40.66397287638688\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"56","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Alexander, Jason S. 0000-0002-1602-482X","orcid":"https://orcid.org/0000-0002-1602-482X","contributorId":204220,"corporation":false,"usgs":false,"family":"Alexander","given":"Jason S.","affiliations":[{"id":36881,"text":"Department of Geology and Geophysics, University of Wyoming","active":true,"usgs":false},{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":811168,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McElroy, Brandon","contributorId":198820,"corporation":false,"usgs":false,"family":"McElroy","given":"Brandon","affiliations":[],"preferred":false,"id":811169,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huzurbazar, Snehalata","contributorId":85903,"corporation":false,"usgs":false,"family":"Huzurbazar","given":"Snehalata","email":"","affiliations":[],"preferred":false,"id":811171,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elliott, Caroline M. 0000-0002-9190-7462 celliott@usgs.gov","orcid":"https://orcid.org/0000-0002-9190-7462","contributorId":2380,"corporation":false,"usgs":true,"family":"Elliott","given":"Caroline","email":"celliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":811172,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murr, Marissa L.","contributorId":252938,"corporation":false,"usgs":false,"family":"Murr","given":"Marissa","email":"","middleInitial":"L.","affiliations":[{"id":50476,"text":"Department of Geology and Geophysics, University of Wyoming, Laramie, Wyoming","active":true,"usgs":false}],"preferred":false,"id":811170,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70217731,"text":"70217731 - 2020 - Nitrogen budgets of the Long Island Sound estuary","interactions":[],"lastModifiedDate":"2021-02-01T14:33:51.98955","indexId":"70217731","displayToPublicDate":"2019-11-22T10:02:51","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Nitrogen budgets of the Long Island Sound estuary","docAbstract":"Nitrogen (N) inputs to coastal ecosystems have significant impacts on coastal community structure. In N limited systems, increases in N inputs may lead to excess productivity and hypoxia. Like many temperate estuaries, Long Island Sound (LIS), a major eastern U.S. estuary, is a N limited system which has experienced seasonal hypoxia since the 1800s. This study is the first effort to constrain the total N cycle in this estuary. The approach utilizes data collected over the last two decades in the LIS time series with hydrodynamic model results to generate both monthly and annual N budgets between 1995 and 2016. Of the total N that is delivered to LIS through rivers and atmospheric inputs, 40% is exported to the adjacent continental shelf on the order of 10.8 ± 8.9 × 106 kg N/year. Of this export, 41% is dissolved organic N, 29% is particulate organic N, 32% is nitrate + nitrite, and −3% is ammonium. The remaining 60% of the N delivered to LIS is either buried in sediments or lost through denitrification. This inferred internal loss rate is equivalent to 5.4 g N/(m2year). This study serves as an example of the significant inter-annual variations that estuarine budgets undergo as efforts to understand coastal biogeochemical cycles move forward.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2019.106493","usgsCitation":"Vlahos, P., Whitney, M., Menniti, C., Mullaney, J., Morrison, J., and Jia, Y., 2020, Nitrogen budgets of the Long Island Sound estuary: Estuarine, Coastal and Shelf Science, v. 232, 106493, 9 p., https://doi.org/10.1016/j.ecss.2019.106493.","productDescription":"106493, 9 p.","ipdsId":"IP-109478","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":437196,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AVXGBB","text":"USGS data release","linkHelpText":"Nitrogen concentrations and loads and seasonal nitrogen loads in selected Long Island Sound tributaries, water years 1995-2016"},{"id":382808,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, New York","otherGeospatial":"Long Island Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.8336181640625,\n 40.77638178482896\n ],\n [\n -73.63037109375,\n 40.81796653313175\n ],\n [\n -73.17993164062499,\n 40.88029480552824\n ],\n [\n -72.61962890625,\n 40.9218144123785\n ],\n [\n -72.3834228515625,\n 40.896905775860006\n ],\n [\n -71.8670654296875,\n 41.05864414643029\n ],\n [\n -71.553955078125,\n 41.15384235711447\n ],\n [\n -71.4605712890625,\n 41.413895564677304\n ],\n [\n -72.1856689453125,\n 41.31907562295139\n ],\n [\n -72.784423828125,\n 41.290189955885644\n ],\n [\n -72.9656982421875,\n 41.269549502842565\n ],\n [\n -73.3447265625,\n 41.1455697310095\n ],\n [\n -73.7677001953125,\n 40.97160353279909\n ],\n [\n -73.8720703125,\n 40.834593138080244\n ],\n [\n -73.8336181640625,\n 40.77638178482896\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"232","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Vlahos, Penny","contributorId":191277,"corporation":false,"usgs":false,"family":"Vlahos","given":"Penny","email":"","affiliations":[],"preferred":false,"id":809411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whitney, Michael 0000-0002-2048-7755","orcid":"https://orcid.org/0000-0002-2048-7755","contributorId":248577,"corporation":false,"usgs":false,"family":"Whitney","given":"Michael","email":"","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":809412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Menniti, Christina","contributorId":248578,"corporation":false,"usgs":false,"family":"Menniti","given":"Christina","email":"","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":809413,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mullaney, John R. 0000-0003-4936-5046","orcid":"https://orcid.org/0000-0003-4936-5046","contributorId":203254,"corporation":false,"usgs":true,"family":"Mullaney","given":"John R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":809414,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morrison, Jonathan 0000-0002-1756-4609 jmorriso@usgs.gov","orcid":"https://orcid.org/0000-0002-1756-4609","contributorId":2274,"corporation":false,"usgs":true,"family":"Morrison","given":"Jonathan","email":"jmorriso@usgs.gov","affiliations":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"preferred":true,"id":809417,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jia, Yan","contributorId":248579,"corporation":false,"usgs":false,"family":"Jia","given":"Yan","email":"","affiliations":[],"preferred":false,"id":809415,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70230128,"text":"70230128 - 2020 - Pleistocene lakes and paleohydrologic environments of the Tecopa basin, California: Constraints on the drainage integration of the Amargosa River","interactions":[],"lastModifiedDate":"2022-03-30T16:07:49.15533","indexId":"70230128","displayToPublicDate":"2019-11-21T11:02:24","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Pleistocene lakes and paleohydrologic environments of the Tecopa basin, California: Constraints on the drainage integration of the Amargosa River","docAbstract":"The Tecopa basin in eastern California was a terminal basin that episodically held lakes during most of the Quaternary until the basin and its modern stream, the Amargosa River, became tributary to Death Valley. Although long studied for its sedimentology, diagenesis, and paleomagnetism, the basin’s lacustrine and paleoclimate history has not been well understood, and conflicting interpretations exist concerning the relations of Tecopa basin to the Amargosa River and to pluvial Lake Manly in Death Valley. Previous studies also did not recognize basinwide tectonic effects on lake-level history. In this study, we focused on: (1) establishing a chronology of shoreline deposits, as the primary indicator of lake-level history, utilizing well-known ash beds and new uranium-series and luminescence dating; (2) using ostracodes as indicators of water chemistry and water source(s); and (3) correlating lake transgressions to well-preserved fluvial-deltaic sequences. During the early Pleistocene, the Tecopa basin hosted small shallow lakes primarily fed by low-alkalinity water sourced mainly from runoff and (or) a groundwater source chemically unlike the modern springs. The first lake that filled the basin occurred just prior and up to the eruption of the 765 ka Bishop ash during marine isotope stage (MIS) 19; this lake heralded the arrival of the Amargosa River, delivering high-alkalinity water. Two subsequent lake cycles, coeval with MIS 16 (leading up to eruption of 631 ka Lava Creek B ash) and MIS 14 and (or) MIS 12, are marked by prominent accumulations of nearshore and beach deposits. The timing of the youngest of these three lakes, the High lake, is constrained by a uranium-series age of ca. 580 ± 120 ka on tufa-cemented beach gravel and by estimates from sedimentation rates. Highstand deposits of the Lava Creek and High lakes at the north end of the basin are stratigraphically tied to distinct sequences of fluvial-deltaic deposits fed by alkaline waters of the Amargosa River. The High lake reached the highest level achieved in the Tecopa basin, and it may have briefly discharged southward but did not significantly erode its threshold. The High lake was followed by a long hiatus of as much as 300 k.y., during which there is evidence for alluvial, eolian, and groundwater-discharge deposition, but no lakes. We attribute this hiatus, as have others, to blockage of the Amargosa River by an alluvial fan upstream near Eagle Mountain. A final lake, the Terminal lake, formed when the river once again flowed south into Tecopa basin, but it was likely short-lived due to rapid incision of the former threshold south of Tecopa. Deposits of the Terminal lake are inset below, and are locally unconformable on, deposits of the High lake and the nonlacustrine deposits of the hiatus. The Terminal lake reached its highstand at ca. 185 ± 21 ka, as dated by infrared-stimulated luminescence on feldspar in beach sand, a time coincident with perennial lake mud and alkaline-tolerant ostracodes in the Badwater core of Lake Manly during MIS 6. A period of stillstand occurred as the Terminal lake drained when the incising river encountered resistant Stirling Quartzite near the head of present-day Amargosa Canyon. Our studies significantly revise the lacustrine and drainage history of the Tecopa basin, show that the MIS 6 highstand was not the largest lake in the basin as previously published (with implications for potential nuclear waste storage at Yucca Mountain, Nevada), and provide evidence from shoreline elevations for ∼20 m of tectonic uplift in the northern part of the basin across an ENE-trending monoclinal flexure.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/B35282.1","usgsCitation":"Reheis, M.C., Caskey, J., Bright, J., Paces, J.B., Mahan, S.A., and Wan, E., 2020, Pleistocene lakes and paleohydrologic environments of the Tecopa basin, California: Constraints on the drainage integration of the Amargosa River: GSA Bulletin, v. 132, no. 7-8, p. 1537-1565, https://doi.org/10.1130/B35282.1.","productDescription":"29 p.","startPage":"1537","endPage":"1565","ipdsId":"IP-105957","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":397866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Tecopa basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.25,\n 35\n ],\n [\n -115.5,\n 35\n ],\n [\n -115.5,\n 37\n ],\n [\n -117.25,\n 37\n ],\n [\n -117.25,\n 35\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"132","issue":"7-8","noUsgsAuthors":false,"publicationDate":"2019-11-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Reheis, Marith C. 0000-0002-8359-323X mreheis@usgs.gov","orcid":"https://orcid.org/0000-0002-8359-323X","contributorId":138571,"corporation":false,"usgs":true,"family":"Reheis","given":"Marith","email":"mreheis@usgs.gov","middleInitial":"C.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":839195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caskey, John","contributorId":289506,"corporation":false,"usgs":false,"family":"Caskey","given":"John","email":"","affiliations":[{"id":6690,"text":"San Francisco State University","active":true,"usgs":false}],"preferred":false,"id":839196,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bright, Jordon","contributorId":63981,"corporation":false,"usgs":false,"family":"Bright","given":"Jordon","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":839197,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paces, James B. 0000-0002-9809-8493","orcid":"https://orcid.org/0000-0002-9809-8493","contributorId":215864,"corporation":false,"usgs":true,"family":"Paces","given":"James","email":"","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":839198,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":839199,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wan, Elmira 0000-0002-9255-112X ewan@usgs.gov","orcid":"https://orcid.org/0000-0002-9255-112X","contributorId":3434,"corporation":false,"usgs":true,"family":"Wan","given":"Elmira","email":"ewan@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":839200,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70217558,"text":"70217558 - 2020 - The sedimentary record of the 2018 Anchorage Earthquake in Eklutna Lake, Alaska: Calibrating the lacustrine seismograph","interactions":[],"lastModifiedDate":"2021-01-21T20:40:35.59411","indexId":"70217558","displayToPublicDate":"2019-11-20T14:37:39","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"The sedimentary record of the 2018 Anchorage Earthquake in Eklutna Lake, Alaska: Calibrating the lacustrine seismograph","docAbstract":"The 30 November 2018
Fog and low cloud cover (FLCC) and late summer recharge increase stream baseflow and decrease stream temperature during arid Mediterranean climate summers, which benefits salmon especially under climate warming conditions. The potential to discharge cool water to streams during the late summer (hydrologic capacity; HC) furnished by FLCC and recharge were mapped for the 299 subwatersheds ranked Core, Phase 1, or Phase 2 under the National Marine Fisheries Service Recovery Plan that prioritized restoration and threat abatement action for endangered Central California Coast Coho Salmon evolutionarily significant unit. Two spatially continuous gridded datasets were merged to compare HC: average hrs/day FLCC, a new dataset derived from a decade of hourly National Weather Satellite data, and annual average mm recharge from the USGS Basin Characterization Model. Two use‐case scenarios provide examples of incorporating FLCC‐driven HC indices into long‐term recovery planning. The first, a thermal analysis under future climate, projected 65% of the watershed area for 8–19 coho population units as thermally inhospitable under two global climate models and identified several units with high resilience (high HC under the range of projected warming conditions). The second use case investigated HC by subwatershed rank and coho population, and identified three population units with high HC in areas ranked Phase 1 and 2 and low HC in Core. Recovery planning for cold‐water fish species would benefit by including FLCC in vulnerability analyses.
","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12811","usgsCitation":"Torregrosa, A.A., Flint, L.E., and Flint, A.L., 2020, Hydrologic resilience from summertime fog and recharge: A case study for coho salmon recovery planning: Journal of the American Water Resources Association, v. 56, no. 1, p. 134-160, https://doi.org/10.1111/1752-1688.12811.","productDescription":"27 p.","startPage":"134","endPage":"160","ipdsId":"IP-095384","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":458480,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.12811","text":"Publisher Index Page"},{"id":372761,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.18945312500001,\n 41.96765920367816\n ],\n [\n -128.0126953125,\n 38.39333888832238\n ],\n [\n -122.9150390625,\n 34.08906131584994\n ],\n [\n -117.79541015625001,\n 36.82687474287728\n ],\n [\n -124.18945312500001,\n 41.96765920367816\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"56","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Torregrosa, Alicia A. 0000-0001-7361-2241 atorregrosa@usgs.gov","orcid":"https://orcid.org/0000-0001-7361-2241","contributorId":3471,"corporation":false,"usgs":true,"family":"Torregrosa","given":"Alicia","email":"atorregrosa@usgs.gov","middleInitial":"A.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":783455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":783456,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":783457,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70213237,"text":"70213237 - 2020 - Inoculation and habitat amelioration efforts in biological soil crust recovery vary by desert and soil texture","interactions":[],"lastModifiedDate":"2020-09-16T01:09:05.042409","indexId":"70213237","displayToPublicDate":"2019-11-20T08:27:07","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Inoculation and habitat amelioration efforts in biological soil crust recovery vary by desert and soil texture","docAbstract":"As dryland degradation continues, it is increasingly important to understand how to effectively restore biocrust communities. Potential techniques include the addition of biocrust inoculum to accelerate biocrust recovery. Enhanced erosion typical of degraded environments creates a challenge for these approaches, due to loss by wind or water and burial by saltating particles. To retain and protect added inoculum, the inclusion of habitat‐amelioration techniques can improve recovery rates. This study tested three different types of inoculum (field‐collected, greenhouse‐cultivated, and laboratory‐cultivated biocrust) coupled with two treatments to augment soil stability and ameliorate habitat limitations: soil surface polyacrylamide additions and installation of straw barriers. This was done across two deserts (Great Basin and Chihuahuan) and separated into generally coarse‐ or finer‐textured soils in each desert, with results monitored for 3 years (2015, 2016, 2017). While the inoculum type, coupled with habitat ameliorations, occasionally enhanced biocrust growth across years and treatments, in other cases, it made no difference compared to natural recovery rates. Rather, the desert location and soil texture groupings were the most prominent factors in determining recovery trajectories. Recovery proportions were similar in the finer‐textured sites in both the Great Basin and the Chihuahuan deserts, while the coarser‐textured site in the Great Basin did show some recovery over time and the Chihuahuan coarser‐textured site did not. This study demonstrates the importance of understanding site potential and identifying key limitations to biocrust recovery for successful restoration projects.
","language":"English","publisher":"Wiley","doi":"10.1111/rec.13087","usgsCitation":"Faist, A.M., Antoninka, A.J., Belnap, J., Bowker, M.A., Duniway, M.C., Garcia-Pichel, F., Nelson, C., Reed, S.C., Giraldo Silva, A., Velasco-Ayuso, S., and Barger, N.N., 2020, Inoculation and habitat amelioration efforts in biological soil crust recovery vary by desert and soil texture: Restoration Ecology, v. 28, no. S2, p. s96-s105, https://doi.org/10.1111/rec.13087.","productDescription":"10 p.","startPage":"s96","endPage":"s105","ipdsId":"IP-108283","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":378394,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico, Texas","otherGeospatial":"Southern New Mexico, Western Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.962890625,\n 32.509761735919426\n ],\n [\n -105.46875,\n 31.466153715024294\n ],\n [\n -102.26074218749999,\n 31.42866311735861\n ],\n [\n -101.162109375,\n 32.21280106801518\n ],\n [\n -101.337890625,\n 33.063924198120645\n ],\n [\n -106.962890625,\n 32.509761735919426\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"28","issue":"S2","noUsgsAuthors":false,"publicationDate":"2020-01-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Faist, Akasha M.","contributorId":193038,"corporation":false,"usgs":false,"family":"Faist","given":"Akasha","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":798695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Antoninka, Anita J.","contributorId":216042,"corporation":false,"usgs":false,"family":"Antoninka","given":"Anita","email":"","middleInitial":"J.","affiliations":[{"id":39356,"text":"School of Forestry, Northern Arizona University, Flagstaff, AZ, 86011, USA","active":true,"usgs":false}],"preferred":false,"id":798696,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":798669,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bowker, Matthew A. mbowker@usgs.gov","contributorId":2875,"corporation":false,"usgs":true,"family":"Bowker","given":"Matthew","email":"mbowker@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":798697,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":798671,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Garcia-Pichel, Ferran","contributorId":166779,"corporation":false,"usgs":false,"family":"Garcia-Pichel","given":"Ferran","email":"","affiliations":[{"id":24511,"text":"Arizona State University, Tempe AZ USA 85287","active":true,"usgs":false}],"preferred":false,"id":798698,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nelson, Corey","contributorId":240676,"corporation":false,"usgs":false,"family":"Nelson","given":"Corey","email":"","affiliations":[],"preferred":false,"id":798699,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":798700,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Giraldo Silva, Ana","contributorId":181758,"corporation":false,"usgs":false,"family":"Giraldo Silva","given":"Ana","email":"","affiliations":[],"preferred":false,"id":798701,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Velasco-Ayuso, Sergio","contributorId":240677,"corporation":false,"usgs":false,"family":"Velasco-Ayuso","given":"Sergio","email":"","affiliations":[],"preferred":false,"id":798702,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Barger, Nichole N.","contributorId":193039,"corporation":false,"usgs":false,"family":"Barger","given":"Nichole","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":798703,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70216943,"text":"70216943 - 2020 - Could a freshwater fish be at the root of dystrophic crises in a coastal lagoon?","interactions":[],"lastModifiedDate":"2020-12-17T14:06:31.950476","indexId":"70216943","displayToPublicDate":"2019-11-20T07:52:42","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Could a freshwater fish be at the root of dystrophic crises in a coastal lagoon?","docAbstract":"Eutrophication has a profound impact on ecosystems worldwide. Grass carp Ctenopharyngodon idella, an herbivorous fish, has been introduced to control aquatic plant overgrowth caused by eutrophication, but could have other, potentially detrimental, effects. We used the Po di Volano basin (south of the Po River delta, northern Italy) as a test case to explore whether grass carp effects on canal aquatic vegetation could be at the root of historical changes in N loads exported from the basin to the Goro Lagoon. We modeled the aquatic vegetation production and standing crop, its denitrification potential, and its consumption by introduced grass carp. We then examined whether changes in historical nitrogen loads matched the modeled losses of the drainage network denitrification function or other changes in agricultural practices. Our results indicate that introduced grass carp could completely remove submerged vegetation in the Po di Volano canal network, which could – in turn – lead to substantial loss of the denitrification function of the system, causing in an increase in downstream nitrogen loads. A corresponding increase, matching both timing and magnitude, was detected in historical nitrogen loads to the Goro Lagoon, which were significantly different before and after the time of modeled collapse of the denitrification function. This increase was not clearly linked to watershed use or agricultural practices, which implies that the loss of the denitrification function through grass carp overgrazing could be a likely explanation of the increase in downstream nitrogen loads. Perhaps for the first time, we provide evidence that a freshwater fish introduction could have caused long-lasting changes in nutrient dynamics that are exported downstream to areas where the fish is not present.
We use >10,000 km of high-resolution seismic-reflection data together with multibeam bathymetry to document complex and highly variable post-Last Glacial Maximum (LGM) sediment distribution and thickness in the coastal zone (~10 m isobath to 5.6 km offshore) along a ~800 km section of central California's transform continental margin. Sediment thickness ranges from 0 (seafloor bedrock) to 64 m with a mean of 8.7 m. We delineate 25 coastal zone “sediment domains,” and group them based on common geomorphology and sediment occurrence. Thickest sediment occurs in “mountain front” and “large river” domains, which comprise 14.5% and 7.9% of the coastal zone and contain 30.1% and 18.2% of coastal zone sediment, respectively. In contrast, “small river” domains and “sediment-poor shelf” domains comprise 50.7% and 15.7% of the coastal zone and contain 18.4% and 12.7% of its sediment.
The distribution and thickness of post-LGM sediment in the coastal zone is controlled by a combination of tectonics, sediment supply, and eustasy. Sediment is derived from a tectonically controlled coastal landscape of rapidly uplifting mountain fronts, more slowly uplifting marine terraces, and fault-bounded headlands and alluvial-estuarine troughs. Sediment supply is maximized along steep, landslide-prone, mountain fronts and at the mouths of large watersheds, and minimized along lower-relief, terraced coastal landscape drained by smaller rivers and creeks. In the offshore coastal zone, tectonics generates local uplifts and basins, and influences shelf width and gradient as well as the locations of some shelf-incised submarine canyons. Sea-level rise raises base level, drowns estuaries, creates accommodation space on the shelf (amount based on gradient), and isolates the heads of many submarine canyons at or near the shelfbreak. Comparison of shelf sediment volumes with estimates of “unaltered” watershed sediment supply reveals that a relatively small proportion of post-LGM sediment supply is preserved on the shelf offshore of some of the largest rivers. Sediments deposited in shoreline and shelf environments have limited preservation potential, and the most complete long-term geologic record of the post-LGM transgression and highstand is likely represented in slope and submarine fan deposits.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2019.106085","usgsCitation":"Johnson, S., Beeson, J.W., Watt, J., Sliter, R., and Papesh, A., 2020, Controls on sediment distribution in the coastal zone of the central California transform continental margin, USA: Marine Geology, v. 420, 106085, 29 p., https://doi.org/10.1016/j.margeo.2019.106085.","productDescription":"106085, 29 p.","ipdsId":"IP-110134","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":458490,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.margeo.2019.106085","text":"Publisher Index Page"},{"id":370327,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.93652343749999,\n 33.43144133557529\n ],\n [\n -119.794921875,\n 33.43144133557529\n ],\n [\n -119.794921875,\n 40.212440718286466\n ],\n [\n -124.93652343749999,\n 40.212440718286466\n ],\n [\n -124.93652343749999,\n 33.43144133557529\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"420","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Samuel Y. 0000-0001-7972-9977","orcid":"https://orcid.org/0000-0001-7972-9977","contributorId":221270,"corporation":false,"usgs":true,"family":"Johnson","given":"Samuel Y.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":777608,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beeson, Jeffrey W. 0000-0002-7396-237X","orcid":"https://orcid.org/0000-0002-7396-237X","contributorId":194964,"corporation":false,"usgs":false,"family":"Beeson","given":"Jeffrey","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":777609,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watt, Janet 0000-0002-4759-3814","orcid":"https://orcid.org/0000-0002-4759-3814","contributorId":221271,"corporation":false,"usgs":true,"family":"Watt","given":"Janet","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":777610,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sliter, Ray 0000-0003-0337-3454","orcid":"https://orcid.org/0000-0003-0337-3454","contributorId":221272,"corporation":false,"usgs":true,"family":"Sliter","given":"Ray","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":777611,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Papesh, Antoinette 0000-0002-1704-0557","orcid":"https://orcid.org/0000-0002-1704-0557","contributorId":221273,"corporation":false,"usgs":false,"family":"Papesh","given":"Antoinette","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":777612,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70206961,"text":"70206961 - 2020 - Using integrated population models for insights into monitoring programs: An application using pink-footed geese","interactions":[],"lastModifiedDate":"2019-12-03T06:43:13","indexId":"70206961","displayToPublicDate":"2019-11-19T11:43:55","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Using integrated population models for insights into monitoring programs: An application using pink-footed geese","docAbstract":"Development of integrated population models (IPMs) assume the absence of systematic bias in monitoring programs, yet many potential sources of systematic bias in monitoring data exist (e.g., under-counts of abundance). By integrating multiple sources of data, we can assess whether various sources of monitoring data provide consistent inferences about changes in population size and, thus, whether monitoring programs appear unbiased. For the purposes of understanding how IPMs could provide insights for monitoring programs, we used the Svalbard breeding population of pink-footed goose (Anser brachyrhynchus) as a case study. The Svalbard pink-footed goose is a well-studied species, the focus of the first adaptive-harvest-management program in Europe, and the subject of a variety of long-term monitoring programs. We examined two formulations of an IPM, but ultimately relied on the one that provided a satisfactory fit to all the available data as based on Chi-squared goodness of fit tests. Our analyses suggest a negative bias in November counts (-20 %), a negative bias in capture-mark-recapture estimates of survival (-3 %), and a negative bias in indices of productivity (-23 %). We offer possible explanations for these biases, whether the degree of bias seems reasonable considering those explanations, and how bias might be investigated directly and ultimately avoided or corrected. Finally, we discuss implications of our work for developing IPMs and associated monitoring programs for managing pink-footed geese and other waterbird species.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2019.108869","usgsCitation":"Johnson, F., Zimmerman, G.S., Jensen, G.H., Clausen, K.K., Frederiksen, M., and Madsen, J., 2020, Using integrated population models for insights into monitoring programs: An application using pink-footed geese: Ecological Modelling, v. 415, 108869, 13 p., https://doi.org/10.1016/j.ecolmodel.2019.108869.","productDescription":"108869, 13 p.","ipdsId":"IP-107877","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":437202,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P901K3RP","text":"USGS data release","linkHelpText":"Demographic parameters for Svalbard pink-footed geese, 1991-2018"},{"id":369802,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"415","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Fred 0000-0002-5854-3695","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":220964,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":776392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zimmerman, Guthrie S.","contributorId":42473,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Guthrie","email":"","middleInitial":"S.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":776393,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jensen, Gitte H.","contributorId":220965,"corporation":false,"usgs":false,"family":"Jensen","given":"Gitte","email":"","middleInitial":"H.","affiliations":[{"id":13685,"text":"Aarhus University, Department of Bioscience","active":true,"usgs":false}],"preferred":false,"id":776394,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clausen, Kevin K.","contributorId":174355,"corporation":false,"usgs":false,"family":"Clausen","given":"Kevin","email":"","middleInitial":"K.","affiliations":[{"id":13419,"text":"Aarhus University, Denmark","active":true,"usgs":false}],"preferred":false,"id":776395,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Frederiksen, Morten","contributorId":217509,"corporation":false,"usgs":false,"family":"Frederiksen","given":"Morten","email":"","affiliations":[{"id":13685,"text":"Aarhus University, Department of Bioscience","active":true,"usgs":false}],"preferred":false,"id":776396,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Madsen, Jesper","contributorId":178168,"corporation":false,"usgs":false,"family":"Madsen","given":"Jesper","email":"","affiliations":[],"preferred":false,"id":776397,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70250177,"text":"70250177 - 2020 - Heat accumulation on coral reefs mitigated by internal waves","interactions":[],"lastModifiedDate":"2023-11-27T17:49:36.946296","indexId":"70250177","displayToPublicDate":"2019-11-18T11:47:06","publicationYear":"2020","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":"Heat accumulation on coral reefs mitigated by internal waves","docAbstract":"Coral reefs are among the most species-rich, productive and economically valuable ecosystems on Earth but increasingly frequent pantropical coral bleaching events are threatening their persistence on a global scale. The 2015–2016 El Niño led to the hottest sea surface temperatures on record and widespread bleaching of shallow-water corals. However, the causes of spatial variation in bleaching are poorly understood, and near-surface estimates of heat stress, such as those inferred from satellites, cannot be generalized across the broad depth ranges occupied by corals. Here, using in situ temperatures recorded across reefs from the near surface to 30–50 m depths in the western, central and eastern Pacific, we show that during the peak of the 2015–2016 anomaly, temperature fluctuations associated with internal waves reduced cumulative heat exposure by up to 88%. The durations of severe thermal anomalies above 8 °C-days, at which point widespread coral bleaching and mortality are likely, were also decreased by >36% at some sites and were prevented entirely at others. The impact of internal waves across depths on coral reefs has the potential to create and support thermal refuges in which heat stress and coral bleaching risk may be modulated, but future effects depend on the response of internal wave climates to continued warming and strengthening ocean stratification.
","language":"English","publisher":"Nature","doi":"10.1038/s41561-019-0486-4","usgsCitation":"Wyatt, A.S., Leichter, J., Toth, L., Miyajima, T., Aronson, R.B., and Nagata, T., 2020, Heat accumulation on coral reefs mitigated by internal waves: Nature Geoscience, v. 13, p. 28-34, https://doi.org/10.1038/s41561-019-0486-4.","productDescription":"7 p.","startPage":"28","endPage":"34","ipdsId":"IP-106803","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":422976,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","noUsgsAuthors":false,"publicationDate":"2019-11-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Wyatt, Alex S. J. 0000-0002-1339-9546","orcid":"https://orcid.org/0000-0002-1339-9546","contributorId":331743,"corporation":false,"usgs":false,"family":"Wyatt","given":"Alex","email":"","middleInitial":"S. J.","affiliations":[{"id":79277,"text":"University of Tokyo, Japan","active":true,"usgs":false}],"preferred":false,"id":888673,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leichter, James J.","contributorId":261128,"corporation":false,"usgs":false,"family":"Leichter","given":"James J.","affiliations":[{"id":52738,"text":"SCRIPPS INSTITUTION OF OCEANOGRAPHY, UNIVERSITY OF CALIFORNIA AT SAN DIEGO","active":true,"usgs":false}],"preferred":false,"id":888674,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Toth, Lauren T. 0000-0002-2568-802X ltoth@usgs.gov","orcid":"https://orcid.org/0000-0002-2568-802X","contributorId":181748,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren","email":"ltoth@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":888675,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miyajima, Toshihiro 0000-0001-8562-6704","orcid":"https://orcid.org/0000-0001-8562-6704","contributorId":331744,"corporation":false,"usgs":false,"family":"Miyajima","given":"Toshihiro","email":"","affiliations":[{"id":79277,"text":"University of Tokyo, Japan","active":true,"usgs":false}],"preferred":false,"id":888676,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aronson, Richard B. 0000-0003-0383-3844","orcid":"https://orcid.org/0000-0003-0383-3844","contributorId":212695,"corporation":false,"usgs":false,"family":"Aronson","given":"Richard","email":"","middleInitial":"B.","affiliations":[{"id":17748,"text":"Florida Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":888677,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nagata, Toshi","contributorId":331745,"corporation":false,"usgs":false,"family":"Nagata","given":"Toshi","email":"","affiliations":[{"id":79277,"text":"University of Tokyo, Japan","active":true,"usgs":false}],"preferred":false,"id":888678,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70227189,"text":"70227189 - 2020 - Life history structure of westslope cutthroat trout: Inferences from otolith microchemistry","interactions":[],"lastModifiedDate":"2022-01-04T15:28:45.816391","indexId":"70227189","displayToPublicDate":"2019-11-18T09:23:05","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Life history structure of westslope cutthroat trout: Inferences from otolith microchemistry","docAbstract":"Life history diversity is important for population stability and is dependent on connectivity to habitat that supports all life stages and life history strategies for a species. Westslope Cutthroat Trout Oncorhynchus clarkii lewisi (WCT) exhibit plasticity in life history strategies in response to environmental variability, but fisheries managers have been challenged with evaluating the life history structure of WCT populations. The goals of this research were to use strontium isotopes (i.e., 87Sr/86Sr) derived from ambient water and sagittal otoliths to assess spatial variability and describe the life history structure of WCT. Water samples (n = 49) and WCT (n = 571) sagittal otoliths were collected throughout the Coeur d’Alene Lake basin in Idaho and analyzed for Sr isotopes. Model-based discriminant function analysis was used to assign WCT to natal tributaries and to infer maternal origins. Life history structure was inferred from maternal signatures and indicated that fluvial (68% of all fish), resident (27%), and adfluvial (5%) life history strategies were present. Connectivity in lotic systems and from lotic to lentic environments supports WCT life history diversity and contributes to a broad distribution of the species.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2019.105416","usgsCitation":"Heckel, J.W., Quist, M.C., Watkins, C.J., and Dux, A.M., 2020, Life history structure of westslope cutthroat trout: Inferences from otolith microchemistry: Fisheries Research, v. 222, 105416, 14 p., https://doi.org/10.1016/j.fishres.2019.105416.","productDescription":"105416, 14 p.","ipdsId":"IP-107684","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":393855,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Coeur d'Alene Lake, Coeur d'Alene River, St, Joe River, St, Maries River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117,\n 46.75\n ],\n [\n -115,\n 46.75\n ],\n [\n -115,\n 48\n ],\n [\n -117,\n 48\n ],\n [\n -117,\n 46.75\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"222","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Heckel, John W","contributorId":270716,"corporation":false,"usgs":false,"family":"Heckel","given":"John","email":"","middleInitial":"W","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":830023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":207142,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":830022,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watkins, Carson J.","contributorId":171708,"corporation":false,"usgs":false,"family":"Watkins","given":"Carson","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":830024,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dux, Andrew M.","contributorId":175256,"corporation":false,"usgs":false,"family":"Dux","given":"Andrew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":830025,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70227116,"text":"70227116 - 2020 - Compound effects of water clarity, inflow, wind and climate warming on mountain lake thermal regimes","interactions":[],"lastModifiedDate":"2022-01-03T16:08:43.642259","indexId":"70227116","displayToPublicDate":"2019-11-16T10:30:30","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":873,"text":"Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Compound effects of water clarity, inflow, wind and climate warming on mountain lake thermal regimes","docAbstract":"Many studies have examined the effects of climate warming on lake stability, but few have addressed environmental changes concomitant with climate change, such as alterations in water clarity and lake inflow. Although air temperature rise is a predominant factor linked to lake thermal characteristics, climate-driven changes at watershed scales can substantially alter lake clarity and inflow, exacerbating the effects of future air warming on lake thermal conditions. Without accounting for potential changes in clarity and inflow, future thermal predictions could be inaccurate. We employed the General Lake Model to simulate future thermal conditions (relative thermal resistance to mixing; RTRM) of small (< 12 ha) mountain lakes of the western United States by calibrating the model to a set of lakes in the Southern Rocky Mountains, USA. We found that after air temperature, alterations in inflow had the largest effect on lake thermal conditions, changes in wind had the least effect, and larger lakes experienced more than double the increase in lake stability than smaller lakes. Generally, clear, high inflow lakes had the lowest stability now, and in the future, while the largest overall increase in thermal stability occurred in larger lakes with low inflows and high turbidity. Assuming air temperature rise alone, summer stability of mountain lakes of the western United States was predicted to increase by 15–23% at + 2 °C air temperatures, and by 39–62% at + 5 °C air temperatures. When accounting for associated changes in clarity and inflow, lake stability was predicted to increase by 208% with + 2 °C air warming and 318% with at 5 °C air warming. Thus, ignoring the multivariate effects of climate change can substantially underestimate changes to mountain lake thermal and stratification regimes. Dimictic lakes may become more strongly stratified and polymictic lakes will experience more prolonged stratification. While predicted changes to lake temperatures may not be harmful to trout species that currently inhabit mountain lakes, longer and more intense stratification could cause indirect effects, such as hypoxia, that could reduce growth and survival of these organisms.
","language":"English","publisher":"Springer","doi":"10.1007/s00027-019-0676-6","usgsCitation":"Christianson, K.R., Johnson, B.M., and Hooten, M., 2020, Compound effects of water clarity, inflow, wind and climate warming on mountain lake thermal regimes: Aquatic Sciences, v. 82, 6, 17 p., https://doi.org/10.1007/s00027-019-0676-6.","productDescription":"6, 17 p.","ipdsId":"IP-107101","costCenters":[{"id":189,"text":"Colorado Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":393652,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Rawah Wilderness Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.89035034179688,\n 40.534676780615406\n ],\n [\n -105.85052490234375,\n 40.58058466412761\n ],\n [\n -105.83816528320312,\n 40.693134153308065\n ],\n [\n -105.88897705078125,\n 40.80029619806279\n ],\n [\n -105.96313476562499,\n 40.88029480552824\n ],\n [\n -106.09771728515625,\n 40.86991083161536\n ],\n [\n -106.11968994140624,\n 40.84498264925404\n ],\n [\n -106.0125732421875,\n 40.727486422997785\n ],\n [\n -105.96450805664062,\n 40.61916465186328\n ],\n [\n -105.89035034179688,\n 40.534676780615406\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"82","noUsgsAuthors":false,"publicationDate":"2019-11-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Christianson, Kyle R.","contributorId":270655,"corporation":false,"usgs":false,"family":"Christianson","given":"Kyle","email":"","middleInitial":"R.","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":829700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Brett M.","contributorId":270656,"corporation":false,"usgs":false,"family":"Johnson","given":"Brett","email":"","middleInitial":"M.","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":829701,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":829699,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70206718,"text":"70206718 - 2020 - Development of two quantitative PCR assays for detection of several Cottus species from environmental DNA in Pacific coast watersheds of North America","interactions":[],"lastModifiedDate":"2020-08-05T13:55:23.6477","indexId":"70206718","displayToPublicDate":"2019-11-13T07:50:57","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1325,"text":"Conservation Genetics Resources","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Development of two quantitative PCR assays for detection of several Cottus species from environmental DNA in Pacific coast watersheds of North America","title":"Development of two quantitative PCR assays for detection of several Cottus species from environmental DNA in Pacific coast watersheds of North America","docAbstract":"We developed two quantitative PCR assays for use with environmental DNA (eDNA) to detect numerous species in the genus Cottus that are indigenous to the Pacific coast watersheds of North America. We conducted in vitro assay validations on ten Cottus species and 32 potentially co-occurring non-Cottus species. We demonstrate the efficacy of these assays by field testing eDNA samples collected from streams inhabited by Cottus. These assays will be particularly useful for detecting Cottus in habitats where one (or more) of several Cottus species could be present.
","language":"English","publisher":"Springer","doi":"10.1007/s12686-019-01118-7","usgsCitation":"Hoy, M.S., and Ostberg, C.O., 2020, Development of two quantitative PCR assays for detection of several Cottus species from environmental DNA in Pacific coast watersheds of North America: Conservation Genetics Resources, v. 12, p. 361-363, https://doi.org/10.1007/s12686-019-01118-7.","productDescription":"3 p.","startPage":"361","endPage":"363","ipdsId":"IP-112157","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":369317,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Pacific Northwest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.892578125,\n 42.032974332441405\n ],\n [\n -117.333984375,\n 41.244772343082076\n ],\n [\n -114.9609375,\n 48.922499263758255\n ],\n [\n -124.71679687499999,\n 50.12057809796008\n ],\n [\n -124.892578125,\n 42.032974332441405\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Hoy, Marshal S. 0000-0003-2828-9697","orcid":"https://orcid.org/0000-0003-2828-9697","contributorId":220730,"corporation":false,"usgs":true,"family":"Hoy","given":"Marshal","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":775540,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ostberg, Carl O. 0000-0003-1479-8458","orcid":"https://orcid.org/0000-0003-1479-8458","contributorId":220731,"corporation":false,"usgs":true,"family":"Ostberg","given":"Carl","middleInitial":"O.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":775541,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}