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. 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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.
Understanding the impacts of landscape change on species distributions can help inform decision-making and conservation planning. Unfortunately, empirical data that span large spatial extents across multiple taxa are limited. In this study, we used expert elicitation techniques to develop species distribution models (SDMs) for harvested wildlife species (n = 10) in the New England region of the northeastern United States. We administered an online survey that elicited opinions from wildlife experts on the probability of species occurrence throughout the study region. We collected 3396 probability of occurrence estimates from 46 experts, and used linear mixed-effects methods and landcover variables at multiple spatial extents to develop SDMs. The models were in general agreement with the literature and provided effect sizes for variables that shape species occurrence. With the exception of gray fox, models performed well when validated against crowdsourced empirical data. We applied models to rasters (30 × 30 m cells) of the New England region to map each species’ distribution. Average regional occurrence probability was highest for coyote (0.92) and white-tailed deer (0.89) and lowest for gray fox (0.42) and moose (0.52). We then stacked distribution maps of each species to estimate and map focal species richness. Species richness (s) varied across New England, with highest average richness in the least developed states of Vermont (s = 7.47) and Maine (s = 7.32), and lowest average richness in the most developed states of Rhode Island (s = 6.13) and Massachusetts (s = 6.61). Our expert-based approach provided relatively inexpensive, comprehensive information that would have otherwise been difficult to obtain given the spatial extent and range of species being assessed. The results provide valuable information about the current distribution of wildlife species and offer a means of exploring how climate and land-use change may impact wildlife in the future.
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focus on the Middle East","interactions":[],"lastModifiedDate":"2020-02-21T09:43:49","indexId":"70208623","displayToPublicDate":"2019-11-30T09:31:05","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":924,"text":"Atmospheric Environment","active":true,"publicationSubtype":{"id":10}},"title":"An overview of bioaerosol load and health impacts associated with dust storms: A focus on the Middle East","docAbstract":"Dust storms are an important environmental problem worldwide. The main sources of dust storms include the Sahara, the Middle East, and central and northeastern Asia. Dust storms originating from these regions can be dispersed across oceans and in some cases globally. They occur throughout the year and vary in frequency and intensity. The biological agents (e.g., fungi, bacteria and viruses) and the mineral and chemical compositions of dust may have adverse effects on human health and quality of life. Desert dusts may cause respiratory diseases, cardiovascular diseases, cardiopulmonary diseases, mental health issues, injuries and death from transport accidents caused by poor visibility. This paper presents dust storm human health research conducted in the Middle East in both indoor and outdoor environments. Results illustrate that particle concentration and bioaerosol types in the atmosphere are affected by climate change and meteorological factors. Recent data trends indicate that annual dust aerosol concentrations have increased worldwide. According to studies conducted in the Middle East, the incidence of respiratory and cardiovascular mortality and hospital visits have increased dramatically following dust storm exposures but very few have demonstrated a regional causation. National and international collaborative efforts are needed to advance our understanding of the global implications of dust storms and what may be the most effective means of mitigation.","language":"English","publisher":"Elsevier","doi":"10.1016/j.atmosenv.2019.117187","usgsCitation":"Soleimani, Z., Teymouri, P., Darvishi Boloorani, A., Mesdaghinia, A., Middleton, N., and Griffin, D.W., 2020, An overview of bioaerosol load and health impacts associated with dust storms: A focus on the Middle East: Atmospheric Environment, v. 223, 117187, 17 p., https://doi.org/10.1016/j.atmosenv.2019.117187.","productDescription":"117187, 17 p.","ipdsId":"IP-102935","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":372498,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Bahrain, Iran, Iraq, Jordan, Kuwait, Saudi Arabia, Syria","otherGeospatial":"Middle 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Boloorani, Ali","contributorId":218553,"corporation":false,"usgs":false,"family":"Darvishi Boloorani","given":"Ali","email":"","affiliations":[{"id":39868,"text":"Semnan University of Medical Sciences","active":true,"usgs":false}],"preferred":false,"id":782790,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mesdaghinia, Alireza","contributorId":218557,"corporation":false,"usgs":false,"family":"Mesdaghinia","given":"Alireza","email":"","affiliations":[{"id":39869,"text":"Tehran University of Medical Sciences","active":true,"usgs":false}],"preferred":false,"id":782791,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Middleton, Nick","contributorId":222647,"corporation":false,"usgs":false,"family":"Middleton","given":"Nick","email":"","affiliations":[{"id":25447,"text":"University of Oxford","active":true,"usgs":false}],"preferred":false,"id":782792,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Griffin, Dale W. 0000-0003-1719-5812 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status of Alaskan Chinook Salmon: Interpopulation comparisons and predictive modeling using bioelectrical impedance analysis","docAbstract":"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":70211179,"text":"70211179 - 2020 - Conservation decisions under pressure: Lessons from an exercise in rapid response to wildlife disease","interactions":[],"lastModifiedDate":"2020-07-16T17:48:29.13571","indexId":"70211179","displayToPublicDate":"2019-11-29T11:49:09","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Conservation decisions under pressure: Lessons from an exercise in rapid response to wildlife disease","docAbstract":"Novel outbreaks of emerging pathogens require rapid responses to enable successful mitigation. We simulated a 1‐day emergency meeting where experts were engaged to recommend mitigation strategies for a new outbreak of the amphibian fungal pathogen Batrachochytrium salamandrivorans . Despite the inevitable uncertainty, experts suggested and discussed several possible strategies. However, their recommendations were undermined by imperfect initial definitions of the objectives and scope of management. This problem is likely to arise in most real‐world emergency situations. The exercise thus highlighted the importance of clearly defining the context, objectives, and spatial–temporal scale of mitigation decisions. Managers are commonly under pressure to act immediately. However, an iterative process in which experts and managers cooperate to clarify objectives and uncertainties, while collecting more information and devising mitigation strategies, may be slightly more time consuming but ultimately lead to better outcomes.
","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.141","usgsCitation":"Canessa, S., Spitzen-van der Sluijs, A., Stark, T., Allen, B.E., Bishop, P.J., Bletz, M., Briggs, C.J., Daversa, D., Gray, M.J., Griffiths, R., Harris, R.N., Harrison, X., Hoverman, J.T., Jervis, P., Muths, E., Olson, D.H., Price, S.J., Richards-Zawacki, C.L., Robert, J., Rosa, G.M., Scheele, B.C., Schmidt, B., and Garner, T.W., 2020, Conservation decisions under pressure: Lessons from an exercise in rapid response to wildlife disease: Conservation Science and Practice, v. 2, no. 1, e141, 7 p., https://doi.org/10.1111/csp2.141.","productDescription":"e141, 7 p.","ipdsId":"IP-111031","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":458431,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.141","text":"Publisher Index 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Netherlands","active":true,"usgs":false}],"preferred":false,"id":792964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, Bryony E.","contributorId":229369,"corporation":false,"usgs":false,"family":"Allen","given":"Bryony","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":793022,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bishop, Phillip J.","contributorId":229370,"corporation":false,"usgs":false,"family":"Bishop","given":"Phillip","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":792965,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bletz, Molly","contributorId":229356,"corporation":false,"usgs":false,"family":"Bletz","given":"Molly","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":792966,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Briggs, Cheryl 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H.","contributorId":114032,"corporation":false,"usgs":true,"family":"Olson","given":"Deanna","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":792973,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Price, Stephen J","contributorId":229373,"corporation":false,"usgs":false,"family":"Price","given":"Stephen","email":"","middleInitial":"J","affiliations":[],"preferred":false,"id":793026,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Richards-Zawacki, Corinne L.","contributorId":193276,"corporation":false,"usgs":false,"family":"Richards-Zawacki","given":"Corinne","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":793027,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Robert, Jacques","contributorId":229374,"corporation":false,"usgs":false,"family":"Robert","given":"Jacques","email":"","affiliations":[],"preferred":false,"id":793028,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Rosa, Goncalo M.","contributorId":229360,"corporation":false,"usgs":false,"family":"Rosa","given":"Goncalo","email":"","middleInitial":"M.","affiliations":[{"id":41627,"text":"University of Kent","active":true,"usgs":false}],"preferred":false,"id":792974,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Scheele, Ben C.","contributorId":206090,"corporation":false,"usgs":false,"family":"Scheele","given":"Ben","email":"","middleInitial":"C.","affiliations":[{"id":16807,"text":"Australian National University","active":true,"usgs":false}],"preferred":false,"id":792975,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Schmidt, B.","contributorId":177353,"corporation":false,"usgs":false,"family":"Schmidt","given":"B.","affiliations":[],"preferred":false,"id":792976,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Garner, Trenton W. J.","contributorId":176463,"corporation":false,"usgs":false,"family":"Garner","given":"Trenton","email":"","middleInitial":"W. J.","affiliations":[],"preferred":false,"id":792977,"contributorType":{"id":1,"text":"Authors"},"rank":23}]}} ,{"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.
No abstract available.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.plrev.2019.11.010","usgsCitation":"DeAngelis, D.L., 2020, Mathematical ecologists describe apparently long-stable dynamics that undergo sudden change to a different regime: Comment on “Long transients in ecology: theory and applications by Andrew Morozov et al.”: Physics of Life Reviews, v. 32, p. 44-45, https://doi.org/10.1016/j.plrev.2019.11.010.","productDescription":"2 p.","startPage":"44","endPage":"45","ipdsId":"IP-113814","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":371741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":148065,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald","email":"don_deangelis@usgs.gov","middleInitial":"L.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":780726,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70227251,"text":"70227251 - 2020 - Brook trout (Salvelinus fontinalis) movement and survival after removal of two dams on the West Branch of the Wolf River, Wisconsin","interactions":[],"lastModifiedDate":"2022-01-05T15:12:55.633931","indexId":"70227251","displayToPublicDate":"2019-11-28T08:44:16","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Brook trout (Salvelinus fontinalis) movement and survival after removal of two dams on the West Branch of the Wolf River, Wisconsin","title":"Brook trout (Salvelinus fontinalis) movement and survival after removal of two dams on the West Branch of the Wolf River, Wisconsin","docAbstract":"Dam removals allow fish to access habitats that may provide ecological benefits and risks, but the extent of fish movements through former dam sites has not been thoroughly evaluated for many species. We installed stationary PIT antennas in 2016 and 2017 to evaluate movements and survival of brook trout Salvelinus fontinalis in the West Branch of the Wolf River (WBWR) in central Wisconsin following removal of two dams and channel modifications designed to promote fish movement. These changes provided access to lacustrine habitats that might provide suitable winter habitat or act as ecological sinks. We used multistate models to estimate transition probabilities between river sections, to determine whether brook trout: (a) moved between multiple river sections and (b) entered lacustrine habitats as seasonal refuges, but eventually returned to lotic habitat. We also used a Cormack-Jolly-Seber model to evaluate whether apparent survival of brook trout in the WBWR was comparable to other populations. Few fish moved among river sections or used lacustrine habitat (<5% of tagged fish); most brook trout remained in sections where they were initially tagged, potentially due to quality habitat located throughout the river. Like other studies, brook trout in the WBWR appear to experience high mortality based on low number of detections, few physical recaptures and an estimated eight-month apparent survival rate of 0.27. In scenarios where fish can already access suitable habitat, removal of dams may not result in substantial increases in fish movement and colonisation of newly accessible habitat may not occur immediately.
","language":"English","publisher":"Wiley","doi":"10.1111/eff.12516","usgsCitation":"Easterly, E., Isermann, D.A., Raabe, J.K., and Pyatskowit, J.W., 2020, Brook trout (Salvelinus fontinalis) movement and survival after removal of two dams on the West Branch of the Wolf River, Wisconsin: Ecology of Freshwater Fish, v. 29, no. 2, p. 311-324, https://doi.org/10.1111/eff.12516.","productDescription":"14 p.","startPage":"311","endPage":"324","ipdsId":"IP-107712","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":393914,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"West Branch of the Wolf River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.93192291259766,\n 44.9643120983638\n ],\n [\n -88.76300811767578,\n 44.9643120983638\n ],\n [\n -88.76300811767578,\n 45.11859928315532\n ],\n [\n -88.93192291259766,\n 45.11859928315532\n ],\n [\n -88.93192291259766,\n 44.9643120983638\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-11-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Easterly, Emma G.","contributorId":270907,"corporation":false,"usgs":false,"family":"Easterly","given":"Emma G.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":830114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":830113,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Raabe, Joshua K.","contributorId":270908,"corporation":false,"usgs":false,"family":"Raabe","given":"Joshua","email":"","middleInitial":"K.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":830115,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pyatskowit, Joshua W.","contributorId":270909,"corporation":false,"usgs":false,"family":"Pyatskowit","given":"Joshua","email":"","middleInitial":"W.","affiliations":[{"id":56220,"text":"Menominee Indian Tribe of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":830116,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70215992,"text":"70215992 - 2020 - Weed-suppressive bacteria have no effect on exotic or native plants in sagebrush-steppe","interactions":[],"lastModifiedDate":"2020-11-13T20:44:55.546477","indexId":"70215992","displayToPublicDate":"2019-11-27T09:45:19","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6002,"text":"Rangeland Ecology & Management","active":true,"publicationSubtype":{"id":10}},"title":"Weed-suppressive bacteria have no effect on exotic or native plants in sagebrush-steppe","docAbstract":"Approaches and techniques for control of exotic annual grasses are a high priority in rangelands including sagebrush steppe. Strains of the soil bacterium Pseudomonas fluorescens have been proposed to be selectively pathogenic to multiple species of exotic annual grasses (“Pf,” weed-suppressive bacteria, “WSB”). However, defensible tests of the target and nontarget effects of these WSB strains in the field are needed. We evaluated the effects of D7 and MB906 strains of Pf WSB in sagebrush steppe invaded by cheatgrass (Bromus tectorum L), medusahead (Taeniatherum caput-medusae L. Nevski), and other exotic annual grasses. We evaluated the WSB strains with and without herbicides (imazapic, rimsulfuron) or discing to mix surface-spray of the WSB into deeper soils, and we replicated these tests in three ecoregions that differed in soils and climate. Over 3 yr after treatment, neither WSB strain affected cover of exotic annual grasses, perennial bunchgrasses, or the total community, either with WSB alone or in combination with herbicides or discing. WSB has received considerable attention and is being applied across large rangeland areas, but the WSB strains and methods applied here were ineffective. We recommend any future use of WSB be applied in an experimental fashion, with experimental design and measurement of responses, until its effects can be proven.
Modelling the spatial prioritisation of fuel treatments and their net effect on values at risk is an important area for applied work as economic damages from wildfire continue to grow. We model and demonstrate a cost-effective fuel treatment planning algorithm using two ecosystem services as benefits for which fuel treatments are prioritised. We create a surface of expected fuel treatment costs to incorporate the heterogeneity in factors affecting the revenue and costs of fuel treatments, and then prioritise treatments based on a cost-effectiveness ratio to maximise the averted loss of ecosystem services from fire. We compare treatment scenarios that employ cost-effectiveness with those that do not, and use common tools and models in a case study of the Sisters Ranger District on the Deschutes National Forest in central Oregon, USA. Using cost-effectiveness not only increases the expected averted losses from fuel treatments, but it also allows a larger area to be treated for the same cost, simply by incorporating costs and cost-effectiveness into the prioritisation routine. These results have considerable implications for policymakers and land managers trying to minimise risk. Incorporating costs into the spatial planning of treatments could allow more effective outcomes without increasing fuel treatment budgets.
","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/WF18187","usgsCitation":"Kreitler, J.R., Thompson, M., Vaillant, N., and Hawbaker, T., 2020, Cost-effective fuel treatment planning: A theoretical justification and case-study: International Journal of Wildland Fire, v. 29, no. 1, p. 42-56, https://doi.org/10.1071/WF18187.","productDescription":"15 p.","startPage":"42","endPage":"56","ipdsId":"IP-070393","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":380195,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Deschutes National Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.0416259765625,\n 43.35514118114017\n ],\n [\n -120.69305419921874,\n 43.35514118114017\n ],\n [\n -120.69305419921874,\n 44.40042951858466\n ],\n [\n -122.0416259765625,\n 44.40042951858466\n ],\n [\n -122.0416259765625,\n 43.35514118114017\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kreitler, Jason R. 0000-0002-0243-5281 jkreitler@usgs.gov","orcid":"https://orcid.org/0000-0002-0243-5281","contributorId":4050,"corporation":false,"usgs":true,"family":"Kreitler","given":"Jason","email":"jkreitler@usgs.gov","middleInitial":"R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":804149,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Matthew","contributorId":177098,"corporation":false,"usgs":false,"family":"Thompson","given":"Matthew","affiliations":[],"preferred":false,"id":804150,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vaillant, Nicole","contributorId":140987,"corporation":false,"usgs":false,"family":"Vaillant","given":"Nicole","affiliations":[{"id":13638,"text":"Western Wildland environmental threat assessment Center","active":true,"usgs":false}],"preferred":false,"id":804151,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":568,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":804152,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70208070,"text":"70208070 - 2020 - Development of a genotyping protocol for Mojave desert tortoise scat","interactions":[],"lastModifiedDate":"2020-04-03T13:29:08.714101","indexId":"70208070","displayToPublicDate":"2019-11-25T20:03:49","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1210,"text":"Chelonian Conservation and Biology","active":true,"publicationSubtype":{"id":10}},"title":"Development of a genotyping protocol for Mojave desert tortoise scat","docAbstract":"Noninvasive fecal genotyping can be a useful tool for population monitoring of elusive species. We tested extraction protocols on scat samples from the threatened Mojave Desert tortoise, Gopherus agassizii, to evaluate whether scat-based mark–recapture and population genetic monitoring studies are feasible.We extracted DNA from G. agassizii scat samples collected in California and Nevada using several extraction protocols and evaluated the reliability of resulting genotypes using quality scores, maximum likelihood reliability estimates, and paired scat and blood genotypes from the same individuals. Finally, we assessed probabilities of identity and sibship, and locus amplification quality, and calculated genotyping error rates for 19 microsatellite loci to determine the best set of loci to use with G. agassizii scat extractions. We found that genotype quality depended more on the sample quality than on the extraction method, and that the Qiagen DNeasy Plant Mini extraction kit is an efficient method for extracting tortoise DNA from tortoise scat. We identified 6 G. agassizii microsatellite loci that can be used to generate a unique molecular tag for individual tortoises. We characterized the reliability of an additional 13 microsatellite loci for use in population genetic analyses where additional power at the expense of some increase in error may be advantageous. As proof of concept, with very low error rates, we matched 3 opportunistically collected scat samples to blood genotypes from animals captured during population surveys within the study area and discovered at least 3 new individuals, even after 2 yrs of extensive survey work. These results suggest that genotyping of field-collected scat can complement existing methods used in long-term demographic and movement studies of G. agassizii and other, closely related, tortoise species.","language":"English","publisher":"Chelonian Research Foundation","doi":"10.2744/CCB-1394.1","usgsCitation":"Mitelberg, A., Vandergast, A.G., Nussear, K., Dutcher, K.E., and Esque, T.C., 2020, Development of a genotyping protocol for Mojave desert tortoise scat: Chelonian Conservation and Biology, v. 2, no. 18, p. 123-132, https://doi.org/10.2744/CCB-1394.1.","productDescription":"10 p.","startPage":"123","endPage":"132","ipdsId":"IP-112211","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":458444,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2744/ccb-1394.1","text":"Publisher Index Page"},{"id":437195,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9SNWMJY","text":"USGS data release","linkHelpText":"Microsatellite genotypes for desert tortoise (Gopherus agassizii) from scat (2016-2018)"},{"id":371631,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mojave Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.103271484375,\n 34.420504880133834\n ],\n [\n -114.5379638671875,\n 34.420504880133834\n ],\n [\n -114.5379638671875,\n 35.77771427205079\n ],\n [\n -117.103271484375,\n 35.77771427205079\n ],\n [\n -117.103271484375,\n 34.420504880133834\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2","issue":"18","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mitelberg, Anna 0000-0002-3309-9946 amitelberg@usgs.gov","orcid":"https://orcid.org/0000-0002-3309-9946","contributorId":218945,"corporation":false,"usgs":true,"family":"Mitelberg","given":"Anna","email":"amitelberg@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780350,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vandergast, Amy G. 0000-0002-7835-6571 avandergast@usgs.gov","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":3963,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","email":"avandergast@usgs.gov","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":786353,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nussear, Ken E","contributorId":221816,"corporation":false,"usgs":false,"family":"Nussear","given":"Ken E","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":780351,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dutcher, Kirsten E.","contributorId":221063,"corporation":false,"usgs":false,"family":"Dutcher","given":"Kirsten","email":"","middleInitial":"E.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":780352,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Esque, Todd C. 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":221817,"corporation":false,"usgs":true,"family":"Esque","given":"Todd","email":"tesque@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780353,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70208075,"text":"70208075 - 2020 - Spatially explicit models of seasonal habitat for greater sage‐grouse at broad spatial scales: Informing areas for management in Nevada and northeastern California","interactions":[],"lastModifiedDate":"2020-01-27T20:03:27","indexId":"70208075","displayToPublicDate":"2019-11-25T20:02:06","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Spatially explicit models of seasonal habitat for greater sage‐grouse at broad spatial scales: Informing areas for management in Nevada and northeastern California","docAbstract":"Defining boundaries of species' habitat across broad spatial scales is often necessary for management decisions, and yet challenging for species that demonstrate differential variation in seasonal habitat use. Spatially explicit indices that incorporate temporal shifts in selection can help overcome such challenges, especially for species of high conservation concern. Greater sage‐grouse Centrocercus urophasianus (hereafter, sage‐grouse), a sagebrush obligate species inhabiting the American West, represents an important case study because sage‐grouse exhibit seasonal habitat patterns, populations are declining in most portions of their range and are central to contemporary national land use policies. Here, we modeled spatiotemporal selection patterns for telemetered sage‐grouse across multiple study sites (1,084 sage‐grouse; 30,690 locations) in the Great Basin. We developed broad‐scale spatially explicit habitat indices that elucidated space use patterns (spring, summer/fall, and winter) and accounted for regional climatic variation using previously published hydrographic boundaries. We then evaluated differences in selection/avoidance of each habitat characteristic between seasons and hydrographic regions. Most notably, sage‐grouse consistently selected areas dominated by sagebrush with few or no conifers but varied in type of sagebrush selected by season and region. Spatiotemporal variation was most apparent based on availability of water resources and herbaceous cover, where sage‐grouse strongly selected upland natural springs in xeric regions but selected larger wet meadows in mesic regions. Additionally, during the breeding period in spring, herbaceous cover was selected strongly in the mesic regions. Lastly, we expanded upon an existing joint–index framework by combining seasonal habitat indices with a probabilistic index of sage‐grouse abundance and space use to produce habitat maps useful for sage‐grouse management. These products can serve as conservation planning tools that help predict expected benefits of restoration activities, while highlighting areas most critical to sustaining sage‐grouse populations. Our joint–index framework can be applied to other species that exhibit seasonal shifts in habitat requirements to help better guide conservation actions.","language":"English","publisher":"Wiley","doi":"10.1002/ece3.5842","usgsCitation":"Coates, P.S., Brussee, B.E., Ricca, M.A., Severson, J., Casazza, M.L., Gustafson, K.B., Espinosa, S.P., Gardner, S.C., and Delahunty, D.J., 2020, Spatially explicit models of seasonal habitat for greater sage‐grouse at broad spatial scales: Informing areas for management in Nevada and northeastern California: Ecology and Evolution, v. 10, no. 1, p. 104-118, https://doi.org/10.1002/ece3.5842.","productDescription":"15 p.","startPage":"104","endPage":"118","ipdsId":"IP-106342","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":458449,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.5842","text":"Publisher Index Page"},{"id":371630,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.134765625,\n 36.61552763134925\n ],\n [\n -114.06005859375,\n 36.61552763134925\n ],\n [\n -114.06005859375,\n 41.96765920367816\n ],\n [\n -123.134765625,\n 41.96765920367816\n ],\n [\n -123.134765625,\n 36.61552763134925\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780361,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brussee, Brianne E. 0000-0002-2452-7101 bbrussee@usgs.gov","orcid":"https://orcid.org/0000-0002-2452-7101","contributorId":4249,"corporation":false,"usgs":true,"family":"Brussee","given":"Brianne","email":"bbrussee@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780362,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ricca, Mark A. 0000-0003-1576-513X mark_ricca@usgs.gov","orcid":"https://orcid.org/0000-0003-1576-513X","contributorId":139103,"corporation":false,"usgs":true,"family":"Ricca","given":"Mark","email":"mark_ricca@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780363,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Severson, John","contributorId":221819,"corporation":false,"usgs":true,"family":"Severson","given":"John","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780364,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780365,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gustafson, K. Benjamin 0000-0003-3530-0372 kgustafson@usgs.gov","orcid":"https://orcid.org/0000-0003-3530-0372","contributorId":166818,"corporation":false,"usgs":true,"family":"Gustafson","given":"K.","email":"kgustafson@usgs.gov","middleInitial":"Benjamin","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780366,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Espinosa, Shawn P.","contributorId":195583,"corporation":false,"usgs":false,"family":"Espinosa","given":"Shawn","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":780367,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gardner, Scott C.","contributorId":192081,"corporation":false,"usgs":false,"family":"Gardner","given":"Scott","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":780368,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Delahunty, David J","contributorId":221820,"corporation":false,"usgs":false,"family":"Delahunty","given":"David","email":"","middleInitial":"J","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":780369,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70206902,"text":"70206902 - 2020 - Antibiotic resistant bacteria in wildlife: Perspectives on trends, acquisitions and dissemination, data gaps, and future directions","interactions":[],"lastModifiedDate":"2020-01-08T14:15:59","indexId":"70206902","displayToPublicDate":"2019-11-25T08:43:54","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Antibiotic resistant bacteria in wildlife: Perspectives on trends, acquisitions and dissemination, data gaps, and future directions","docAbstract":"The proliferation of antibiotic resistant bacteria in the environment has potential negative economic and health consequences. Thus, previous investigations have targeted wild animals to understand the occurrence of antibiotic resistance in diverse environmental sources. In this critical review and synthesis, we summarize important concepts learned through the sampling of wildlife for antibiotic resistant indicator bacteria. These concepts are helpful for understanding dissemination of resistance through environmental pathways and helping to guide future research efforts. \nOur review is comprised of six sections. The first section briefly introduces antibiotic resistance as it pertains to bacteria harbored in environmental sources such as wild animals. Next, we differentiate wildlife from other animals in the context of how diverse taxa provide different information on antibiotic resistance in the environment. In the third section, we identify representative research and seminal works that illustrate important associations between the occurrence of antibiotic resistant bacteria in wildlife and anthropogenic inputs into the environment. For example, we highlight numerous investigations that support the premise that anthropogenic inputs into the environment drive the occurrence of antibiotic resistance in bacteria harbored by free-ranging wildlife. Additionally, we summarize previous research demonstrating foraging as a mechanism by which wildlife may be exposed to anthropogenic antibiotic resistance contamination in the environment. In the fourth section of our review, we summarize molecular evidence for the acquisition and dissemination of resistance among bacteria harbored by wildlife. In the fifth section, we identify what we believe to be important data gaps and potential future directions that other researchers may find useful towards the development of efficient, informative, and impactful investigations of antibiotic resistant bacteria in wildlife. Finally, we conclude our review by highlighting the need to move from surveys that simply identify antibiotic resistant bacteria in wildlife towards hypothesis-driven investigations that: (1) identify point sources of antibiotic resistance; (2) provide information on risk to human and animal health; (3) identify interventions that may interrupt environmentally mediated pathways of antibiotic resistance acquisition/transmission; and (4) evaluate whether management practices are leading to desirable outcomes.","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2019-04-099","usgsCitation":"Ramey, A.M., and Ahlstrom, C., 2020, Antibiotic resistant bacteria in wildlife: Perspectives on trends, acquisitions and dissemination, data gaps, and future directions: Journal of Wildlife Diseases, v. 56, no. 1, p. 1-15, https://doi.org/10.7589/2019-04-099.","productDescription":"15 p.","startPage":"1","endPage":"15","ipdsId":"IP-107397","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":369698,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":776194,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ahlstrom, Christina 0000-0001-5414-8076","orcid":"https://orcid.org/0000-0001-5414-8076","contributorId":214540,"corporation":false,"usgs":true,"family":"Ahlstrom","given":"Christina","email":"","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":776195,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70206909,"text":"70206909 - 2020 - The future of barriers and trapping methods in the sea lamprey (Petromyzon marinus) control program in the Laurentian Great Lakes","interactions":[],"lastModifiedDate":"2020-03-11T14:17:15","indexId":"70206909","displayToPublicDate":"2019-11-25T08:20:38","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3278,"text":"Reviews in Fish Biology and Fisheries","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The future of barriers and trapping methods in the sea lamprey (Petromyzon marinus) control program in the Laurentian Great Lakes","title":"The future of barriers and trapping methods in the sea lamprey (Petromyzon marinus) control program in the Laurentian Great Lakes","docAbstract":"A major duty of the Great Lakes Fishery Commission (GLFC), created in 1955, was the development a program of eradication or management of sea lamprey populations in the Great Lakes for the protection of the Great Lakes fishery. Beginning in the 1980s the GLFC shifted sea lamprey control to an integrated pest management model seeking to deploy control measures which target multiple life stages. Currently control efforts focus on limiting the area of infestation using barriers to migratory adults and eradication of larvae from streams using selective pesticides. Feedback on program effectiveness is obtained by trapping migratory adult lamprey at a series of index sites around the basin. The GLFC continues to support multiple research initiatives to develop additional control, improve current control measures, and further advance the sea lamprey control program. During the past six decades sea lamprey control in the Great Lakes has evolved as the research program has identified technological advances. Here we summarize the current state and recent advancements for two of the sea lamprey control program’s core elements, barriers and traps, highlight challenges to be addressed to continue the advancement of these program elements, and provide a series of research questions to spur interest within the research community. Further, because considerable information about these program elements is scattered among grey literature and technical reports, we summarize the history of barriers and traps in sea lamprey control in the included appendices to provide relevant program background to anyone interested in pursuing these research topics.
","language":"English","publisher":"Springer","doi":"10.1007/s11160-019-09587-7","usgsCitation":"Miehls, S.M., Paul Sullivan, Michael Twohey, Barber, J., and McDonald, R., 2020, The future of barriers and trapping methods in the sea lamprey (Petromyzon marinus) control program in the Laurentian Great Lakes: Reviews in Fish Biology and Fisheries, v. 30, p. 1-24, https://doi.org/10.1007/s11160-019-09587-7.","productDescription":"24 p.","startPage":"1","endPage":"24","ipdsId":"IP-102162","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":458454,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11160-019-09587-7","text":"Publisher Index Page"},{"id":369691,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","otherGeospatial":"Great Lakes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.07617187499999,\n 41.11246878918088\n ],\n [\n -75.8056640625,\n 41.11246878918088\n ],\n [\n -75.8056640625,\n 49.35375571830993\n ],\n [\n -93.07617187499999,\n 49.35375571830993\n ],\n [\n -93.07617187499999,\n 41.11246878918088\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Miehls, Scott M. 0000-0002-5546-1854 smiehls@usgs.gov","orcid":"https://orcid.org/0000-0002-5546-1854","contributorId":5007,"corporation":false,"usgs":true,"family":"Miehls","given":"Scott","email":"smiehls@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":776224,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paul Sullivan","contributorId":141118,"corporation":false,"usgs":false,"family":"Paul Sullivan","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":776225,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Michael Twohey","contributorId":220931,"corporation":false,"usgs":false,"family":"Michael Twohey","affiliations":[{"id":40296,"text":"United States Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":776226,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barber, Jessica","contributorId":220932,"corporation":false,"usgs":false,"family":"Barber","given":"Jessica","email":"","affiliations":[{"id":40296,"text":"United States Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":776227,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McDonald, Rodney","contributorId":220933,"corporation":false,"usgs":false,"family":"McDonald","given":"Rodney","email":"","affiliations":[{"id":40297,"text":"Retired Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":776228,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70207371,"text":"70207371 - 2020 - History and sources of co-occurring pesticides in an abstraction well unravelled by age distributions of depth specific groundwater samples","interactions":[],"lastModifiedDate":"2020-01-08T14:42:44","indexId":"70207371","displayToPublicDate":"2019-11-24T19:42:34","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"History and sources of co-occurring pesticides in an abstraction well unravelled by age distributions of depth specific groundwater samples","docAbstract":"When groundwater-based drinking water supply becomes contaminated, the timing and source of contamination are obvious questions. However, contaminants often have diffuse sources and different contaminants may have different sources even in a single groundwater well, making these questions complicated to answer. Age dating of groundwater has been used to reconstruct contaminant travel times to wells; however, critics have highlighted that groundwater flow is often complex with mixing of groundwater of different ages. In drinking water wells, where water is typically abstracted from a large depth interval, such mixing is even more problematic. We present a way to overcome some of the obstacles in identifying the source and age of\n contaminants in drinking water wells by combining depth-specific sampling with age tracer modeling, particle tracking simulations, geological characterization, and contaminant properties. This multitool approach was applied to a drinking water well, where bentazon and dichlorprop contamination was found to have different pollutant sources and release histories, even though both pesticides can be associated with the same land use. Bentazon was derived from recent\napplication to a golf course, while dichlorprop was derived from agricultural use more than 30 years ago. The advantages, limitations, and pitfalls of the proposed course of action are then further discussed.","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.9b03996","usgsCitation":"Jakobsen, R., Hinsby, K., Aamand, J., van der Keur, P., Kidmose, J., Purtschert, R., Jurgens, B., Sultenfuss, J., and Albers, C.N., 2020, History and sources of co-occurring pesticides in an abstraction well unravelled by age distributions of depth specific groundwater samples: Environmental Science & Technology, v. 54, no. 1, p. 158-165, https://doi.org/10.1021/acs.est.9b03996.","productDescription":"8 p.","startPage":"158","endPage":"165","ipdsId":"IP-110509","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":370438,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Jakobsen, Rasmus 0000-0003-1882-2961","orcid":"https://orcid.org/0000-0003-1882-2961","contributorId":221322,"corporation":false,"usgs":false,"family":"Jakobsen","given":"Rasmus","email":"","affiliations":[{"id":40164,"text":"Geological Survey of Denmark and Greenland","active":true,"usgs":false}],"preferred":false,"id":777844,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hinsby, Klaus 0000-0003-1190-4550","orcid":"https://orcid.org/0000-0003-1190-4550","contributorId":221323,"corporation":false,"usgs":false,"family":"Hinsby","given":"Klaus","email":"","affiliations":[{"id":40164,"text":"Geological Survey of Denmark and Greenland","active":true,"usgs":false}],"preferred":false,"id":777845,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aamand, Jens 0000-0002-4641-639X","orcid":"https://orcid.org/0000-0002-4641-639X","contributorId":221324,"corporation":false,"usgs":false,"family":"Aamand","given":"Jens","email":"","affiliations":[{"id":40164,"text":"Geological Survey of Denmark and Greenland","active":true,"usgs":false}],"preferred":false,"id":777846,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"van der Keur, Peter 0000-0001-6988-6266","orcid":"https://orcid.org/0000-0001-6988-6266","contributorId":221325,"corporation":false,"usgs":false,"family":"van der Keur","given":"Peter","email":"","affiliations":[{"id":40164,"text":"Geological Survey of Denmark and Greenland","active":true,"usgs":false}],"preferred":false,"id":777847,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kidmose, Jacob 0000-0001-8577-2197","orcid":"https://orcid.org/0000-0001-8577-2197","contributorId":221326,"corporation":false,"usgs":false,"family":"Kidmose","given":"Jacob","email":"","affiliations":[{"id":40164,"text":"Geological Survey of Denmark and Greenland","active":true,"usgs":false}],"preferred":false,"id":777848,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Purtschert, Roland 0000-0002-4734-7664","orcid":"https://orcid.org/0000-0002-4734-7664","contributorId":221327,"corporation":false,"usgs":false,"family":"Purtschert","given":"Roland","email":"","affiliations":[{"id":38843,"text":"University of Bern, Switzerland","active":true,"usgs":false}],"preferred":false,"id":777849,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jurgens, Bryant C. 0000-0002-1572-113X","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":203409,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant","middleInitial":"C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":777843,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sultenfuss, Jurgen","contributorId":221328,"corporation":false,"usgs":false,"family":"Sultenfuss","given":"Jurgen","email":"","affiliations":[{"id":40351,"text":"University of Bremen, Germany","active":true,"usgs":false}],"preferred":true,"id":777850,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Albers, Christian N. 0000-0001-7253-3509","orcid":"https://orcid.org/0000-0001-7253-3509","contributorId":221329,"corporation":false,"usgs":false,"family":"Albers","given":"Christian","email":"","middleInitial":"N.","affiliations":[{"id":40164,"text":"Geological Survey of Denmark and Greenland","active":true,"usgs":false}],"preferred":false,"id":777851,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70211498,"text":"70211498 - 2020 - Interactive range‐limit theory (iRLT): An extension for predicting range shifts","interactions":[],"lastModifiedDate":"2020-07-29T13:41:27.897824","indexId":"70211498","displayToPublicDate":"2019-11-23T19:08:42","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Interactive range‐limit theory (iRLT): An extension for predicting range shifts","docAbstract":"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":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false},{"id":36881,"text":"Department of Geology and Geophysics, University of Wyoming","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":70206849,"text":"70206849 - 2020 - Impacts of Hurricane Irma on Florida Bay Islands, Everglades National Park, U.S.A.","interactions":[],"lastModifiedDate":"2020-06-04T16:39:12.956393","indexId":"70206849","displayToPublicDate":"2019-11-22T14:15:51","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of Hurricane Irma on Florida Bay Islands, Everglades National Park, U.S.A.","docAbstract":"Hurricane Irma made landfall in south Florida, USA, on September 10, 2017 as a category 4 storm. In January 2018, fieldwork was conducted on four previously (2014) sampled islands in Florida Bay, Everglades National Park to examine changes between 2014 and 2018. The objectives were to determine if the net impact of the storm was gain or loss of island landmass and/or elevation; observe and quantify impacts to mangroves; and identify distinctive sedimentary, biochemical, and/or geochemical signatures of the storm. Storm overwash deposits were measured in the field and, in general, interior island mudflats appeared to experience deposition ranging from ~ 0.5 to ~ 6.5 cm. Elevation changes were measured using real-time kinematic positioning and satellite receivers. Comparison of 2014 to 2018 elevation measurements indicates mangrove berms and transitional areas between mudflats and berms experienced erosion and loss of elevation, whereas interior mudflats gained elevation, possibly due to Hurricane Irma. Geographic information system analysis of pre- and post-storm satellite imagery indicates the western-most island, closest to the eye of the storm, lost 32 to 42% (~ 11 to 13 m) of the width of the eastern berm, and vegetated coverage was reduced 9.3% or ~ 9700 m2. Vegetated coverage on the eastern-most island was reduced by 1.9% or ~ 9200 m2. These results are compared to previous accounts of hurricane impacts and provide a baseline for examining long-term constructive and destructive aspects of hurricanes on the islands and the role of storms in resiliency of Florida Bay islands.
","language":"English","publisher":"Springer","doi":"10.1007/s12237-019-00638-7","usgsCitation":"Wingard, G.L., Bergstresser, S.E., Stackhouse, B., Jones, M., Marot, M.E., Hoefke, K., Daniels, A., and Keller, K., 2020, Impacts of Hurricane Irma on Florida Bay Islands, Everglades National Park, U.S.A.: Estuaries and Coasts, v. 43, p. 1070-1089, https://doi.org/10.1007/s12237-019-00638-7.","productDescription":"20 p.","startPage":"1070","endPage":"1089","ipdsId":"IP-102008","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":458463,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-019-00638-7","text":"Publisher Index Page"},{"id":369564,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park, Florida Bay Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.903076171875,\n 24.56211235799689\n ],\n [\n -80.2001953125,\n 24.56211235799689\n ],\n [\n -80.2001953125,\n 25.311752681576287\n ],\n [\n -81.903076171875,\n 25.311752681576287\n ],\n [\n -81.903076171875,\n 24.56211235799689\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"43","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Wingard, G. 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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.
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