The Holocene upwelling history of the northern California continental slope is examined using the high-resolution record of TN062-O550 (40.9°N, 124.6°W, 550 m water depth). This 7-m-long marine sediment core spans the last ∼7500 years, and we use it to test the hypothesis that marine productivity in the California Current System (CCS) driven by coastal upwelling has co-varied with Holocene millennial-scale warm intervals. A combination of biogenic sediment concentrations (opal, total organic C, and total N), stable isotopes (organic matter δ13C and bulk sedimentary δ15N), and key microfossil indicators of upwelling were used to test this hypothesis. The record of biogenic accumulation in TN062-O550 shows considerable Holocene variability despite being located within 50 km of the mouth of the Eel River, which is one of the largest sources of terrigenous sediment to the Northeast Pacific Ocean margin. A key time interval beginning at ∼2900 calibrated years before present (cal yr BP) indicates the onset of modern upwelling in the CCS, and this period also corresponds to the most intense period of upwelling in the last 7500 years. When these results are placed into a regional CCS context during the Holocene, it was found that the timing of upwelling intensification at TN062-O550 corresponds closely to that seen at nearby ODP Site 1019, as well as in the Santa Barbara Basin of southern California. Other CCS records with less refined age control show similar results, which suggest late Holocene upwelling intensification may be synchronous throughout the CCS. Based on the strong correspondence between the alkenone sea surface temperature record at ODP Site 1019 and the onset of late Holocene upwelling in northern California, we suggest that CCS warming may be conducive to upwelling intensification, though future changes are unclear as the mechanisms forcing SST variability may differ.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quaint.2017.02.021","usgsCitation":"Addison, J.A., Barron, J.A., Finney, B.P., Kusler, J.E., Bukry, D., Heusser, L.E., and Alexander, C.R., 2018, A Holocene record of ocean productivity and upwelling from the northern California continental slope: Quaternary International, v. 469, no. B, p. 96-108, https://doi.org/10.1016/j.quaint.2017.02.021.","productDescription":"13 p.","startPage":"96","endPage":"108","ipdsId":"IP-076086","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":461109,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quaint.2017.02.021","text":"Publisher Index Page"},{"id":349137,"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,\n 40\n ],\n [\n -126,\n 40\n ],\n [\n -126,\n 42\n ],\n [\n -124,\n 42\n ],\n [\n -124,\n 40\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"469","issue":"B","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb03e4b06e28e9c22b0c","contributors":{"authors":[{"text":"Addison, Jason A. 0000-0003-2416-9743 jaddison@usgs.gov","orcid":"https://orcid.org/0000-0003-2416-9743","contributorId":4192,"corporation":false,"usgs":true,"family":"Addison","given":"Jason","email":"jaddison@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":722854,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barron, John A. 0000-0002-9309-1145 jbarron@usgs.gov","orcid":"https://orcid.org/0000-0002-9309-1145","contributorId":2222,"corporation":false,"usgs":true,"family":"Barron","given":"John","email":"jbarron@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":722855,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finney, Bruce P.","contributorId":199658,"corporation":false,"usgs":false,"family":"Finney","given":"Bruce","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":722858,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kusler, Jennifer E. jkusler@usgs.gov","contributorId":5151,"corporation":false,"usgs":true,"family":"Kusler","given":"Jennifer","email":"jkusler@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":722857,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bukry, David 0000-0003-4540-890X dbukry@usgs.gov","orcid":"https://orcid.org/0000-0003-4540-890X","contributorId":3550,"corporation":false,"usgs":true,"family":"Bukry","given":"David","email":"dbukry@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":722856,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Heusser, Linda E.","contributorId":178365,"corporation":false,"usgs":false,"family":"Heusser","given":"Linda","email":"","middleInitial":"E.","affiliations":[{"id":28041,"text":"Lamont-Doherty Earth Observatory, Columbia University","active":true,"usgs":false}],"preferred":false,"id":722860,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Alexander, Clark R.","contributorId":149400,"corporation":false,"usgs":false,"family":"Alexander","given":"Clark","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":722859,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70193527,"text":"ofr20171140 - 2018 - Characteristics of peak streamflows and extent of inundation in areas of West Virginia and southwestern Virginia affected by flooding, June 2016","interactions":[],"lastModifiedDate":"2018-09-27T15:11:09","indexId":"ofr20171140","displayToPublicDate":"2017-11-17T14:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1140","title":"Characteristics of peak streamflows and extent of inundation in areas of West Virginia and southwestern Virginia affected by flooding, June 2016","docAbstract":"Heavy rainfall occurred across central and southern West
Virginia in June 2016 as a result of repeated rounds of torrential
thunderstorms. The storms caused major flooding and flash
flooding in central and southern West Virginia with Kanawha,
Fayette, Nicholas, and Greenbrier Counties among the hardest
hit. Over the duration of the storms, from 8 to 9.37 inches of
rain was reported in areas in Greenbrier County. Peak streamflows
were the highest on record at 7 locations, and streamflows
at 18 locations ranked in the top five for the period of
record at U.S. Geological Survey streamflow-gaging stations
used in this study. Following the storms, U.S. Geological Survey
hydrographers identified and documented 422 high-water
marks in West Virginia, noting location and height of the water
above land surface. Many of these high-water marks were
used to create flood-inundation maps for selected communities
of West Virginia that experienced flooding in June 2016.
Digital datasets of the inundation areas, mapping boundaries,
and water depth rasters are available online.
Director, Virginia and West Virginia Water Science Center
U.S. Geological Survey
1730 East Parham Road
Richmond, VA 23228
Hydrologic characterization at ungauged locations is one of the quintessential challenges of hydrology. Beyond simulation of historical streamflows, it is similarly important to characterize the level of uncertainty in hydrologic estimates. In tandem with updates to Massachusetts Sustainable Yield Estimator, this work explores the application of global uncertainty estimates to daily streamflow simulations. Expanding on a method developed for deterministic modeling, this approach produces confidence intervals on daily streamflow developed through nonlinear spatial interpolation of daily streamflow using flow duration curves; the 95% confidence is examined. Archived cross‐validations of daily streamflows from 66 watersheds in and around Massachusetts are used to evaluate an approach to uncertainty characterization. Neighboring sites are treated as ungauged, producing relative errors that can be resampled and applied to target sites. The method, with some modification, is found to provide appropriately narrow confidence intervals that contain 95% of the observed streamflows in cross‐validation. Further characterizing uncertainty, multiday means of daily streamflow are evaluated. Working through cross‐validation in Massachusetts, two‐ to three‐month averages of daily streamflow show the best performance. These two approaches to uncertainty characterization inform how streamflow simulation produced for prediction in ungauged basins can be used for water resources management.
Poaching can have devastating impacts on animal and plant numbers, and in many countries has reached crisis levels, with illegal hunters employing increasingly sophisticated techniques. Here, we show how geographic profiling – a mathematical technique originally developed in criminology and recently applied to animal foraging and epidemiology – can be adapted for use in investigations of wildlife crime, using data from an eight-year study in Savé Valley Conservancy, Zimbabwe that in total includes more than 10,000 incidents of illegal hunting and the deaths of 6,454 wild animals. Using a subset of these data for which the illegal hunters’ identities are known, we show that the model can successfully identify the illegal hunters’ home villages using the spatial locations of hunting incidences (for example, snares) as input, and show how this can be improved by manipulating the probability surface inside the Conservancy to reflect the fact that – although the illegal hunters mostly live outside the Conservancy, the majority of hunting occurs inside (in criminology, ‘commuter crime’). The results of this analysis – combined with rigorous simulations – show for the first time how geographic profiling can be combined with GIS data and applied to situations with more complex spatial patterns – for example, where landscape heterogeneity means that some parts of the study area are unsuitable (e.g. aquatic areas for terrestrial animals, or vice versa), or where landscape permeability differs (for example, forest bats tending not to fly over open areas). More broadly, these results show how geographic profiling can be used to target anti-poaching interventions more effectively and more efficiently, with important implications for the development of management strategies and conservation plans in a range of conservation scenarios.
","language":"English","publisher":"Wiley","doi":"10.1111/cobi.13027","usgsCitation":"Faulkner, S.C., Stevens, M.C., Romanach, S.S., Lindsey, P.A., and LeComber, S.C., 2018, A spatial approach to combatting wildlife crime: Conservation Biology, v. 32, no. 3, p. 685-693, https://doi.org/10.1111/cobi.13027.","productDescription":"9 p.","startPage":"685","endPage":"693","ipdsId":"IP-085198","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":469158,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://qmro.qmul.ac.uk/xmlui/handle/123456789/25863","text":"External Repository"},{"id":349057,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-06","publicationStatus":"PW","scienceBaseUri":"5a60fb0fe4b06e28e9c22b82","contributors":{"authors":[{"text":"Faulkner, Sally C.","contributorId":198703,"corporation":false,"usgs":false,"family":"Faulkner","given":"Sally","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":716891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stevens, Michael C.A.","contributorId":198704,"corporation":false,"usgs":false,"family":"Stevens","given":"Michael","email":"","middleInitial":"C.A.","affiliations":[],"preferred":false,"id":716892,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Romanach, Stephanie S. 0000-0003-0271-7825 sromanach@usgs.gov","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":140419,"corporation":false,"usgs":true,"family":"Romanach","given":"Stephanie","email":"sromanach@usgs.gov","middleInitial":"S.","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":716890,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lindsey, Peter A.","contributorId":198705,"corporation":false,"usgs":false,"family":"Lindsey","given":"Peter","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":716893,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"LeComber, Steven C.","contributorId":198706,"corporation":false,"usgs":false,"family":"LeComber","given":"Steven","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":716894,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70217712,"text":"70217712 - 2018 - Using halogens (Cl, Br, I) to understand the hydrogeochemical evolution of drought-derived saline porewater beneath a prairie wetland","interactions":[],"lastModifiedDate":"2021-01-29T13:31:55.808394","indexId":"70217712","displayToPublicDate":"2017-11-16T07:25:49","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Using halogens (Cl, Br, I) to understand the hydrogeochemical evolution of drought-derived saline porewater beneath a prairie wetland","docAbstract":"Numerous closed-basin prairie wetlands throughout the Prairie Pothole Region (PPR) of North America maintain moderate surface pond salinities (total dissolved solids [TDS] from 1 to 10 g L− 1) under semiarid climate by accumulation of gypsum and saline lenses of sulfate-rich porewater (TDS > 10 g L− 1) in wetland sediments during droughts. In order to understand the hydrogeochemical origin and composition of these saline porewaters, we made a detailed geochemical survey of Cl−, SO42 −, Br, and I in the porewater, pondwater, and upland groundwater of a typical closed-basin prairie wetland (P1 in the Cottonwood Lake study area, North Dakota). Concentrations of Cl− ranged up to 5.9 mM in the saline porewaters, and was strongly correlated with SO42 − and Br (Pearson's r > 0.7, p < 0.05; concentrations ranging up to 131 mM and 39 μM, respectively) due to the conservative effects of surface water evaporation. In contrast, total dissolved I was not significantly correlated with Cl− (Pearson's r = 0.18, p = 0.273) and was concentrated in porewaters located above the saline lenses with a peak concentration of 4.1 μM beneath the center of the wetland— the highest value for dissolved I ever measured in a terrestrial aquatic system and an order of magnitude above that of seawater. We hypothesize that chromatographic separation between more mobile anions (Cl−, SO42 −, Br−) and I occurs during droughts when wetland ponds dry and sedimentary iodide (I−) oxidizes to its less-mobile form, iodate (IO3−). Understanding the origin and geochemical composition of porewater salinity that develops beneath prairie wetlands during drought can help to fingerprint sources of salinity to wetland ponds during wet climate and elucidate halogen systematics in saline and organic-rich subsurface environments associated with hydrocarbon generation.
Autonomous passive integrated transponder (PIT) tag antenna systems continuously detect individually marked organisms at one or more fixed points over long time periods. Estimating abundance using data from autonomous antennae can be challenging, because these systems do not detect unmarked individuals. Here we pair PIT antennae data from a tributary with mark-recapture sampling data in a mainstem river to estimate the number of fish moving from the mainstem to the tributary. We then use our model to estimate abundance of non-native rainbow trout Oncorhynchus mykiss that move from the Colorado River to the Little Colorado River (LCR), the latter of which is important spawning and rearing habitat for federally-endangered humpback chub Gila cypha. We estimate 226 rainbow trout (95% CI: 127-370) entered the LCR from October 2013-April 2014. We discuss the challenges of incorporating detections from autonomous PIT antenna systems into mark-recapture population models, particularly in regards to using information about spatial location to estimate movement and detection probabilities.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2017-0304","usgsCitation":"Dzul, M.C., Yackulic, C.B., and Korman, J., 2018, Estimating disperser abundance using open population models that incorporate data from continuous detection PIT arrays: Canadian Journal of Fisheries and Aquatic Sciences, v. 75, no. 9, p. 1393-1404, https://doi.org/10.1139/cjfas-2017-0304.","productDescription":"12 p.","startPage":"1393","endPage":"1404","ipdsId":"IP-081814","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":438073,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7NZ86JV","text":"USGS data release","linkHelpText":"Continuous Detection PIT Array Data & Model"},{"id":349027,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Colorado River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.9342041015625,\n 36.121236902880185\n ],\n [\n -111.66778564453125,\n 36.121236902880185\n ],\n [\n -111.66778564453125,\n 36.465471886798134\n ],\n [\n -111.9342041015625,\n 36.465471886798134\n ],\n [\n -111.9342041015625,\n 36.121236902880185\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"75","issue":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb10e4b06e28e9c22b91","contributors":{"authors":[{"text":"Dzul, Maria C. 0000-0002-4798-5930 mdzul@usgs.gov","orcid":"https://orcid.org/0000-0002-4798-5930","contributorId":5469,"corporation":false,"usgs":true,"family":"Dzul","given":"Maria","email":"mdzul@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":722302,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":722304,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Korman, Josh","contributorId":139960,"corporation":false,"usgs":false,"family":"Korman","given":"Josh","email":"","affiliations":[{"id":13333,"text":"Ecometric Research Inc.","active":true,"usgs":false}],"preferred":false,"id":722306,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70194178,"text":"70194178 - 2018 - Multi-model comparison highlights consistency in predicted effect of warming on a semi-arid shrub","interactions":[],"lastModifiedDate":"2018-01-05T14:01:57","indexId":"70194178","displayToPublicDate":"2017-11-16T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Multi-model comparison highlights consistency in predicted effect of warming on a semi-arid shrub","docAbstract":"A number of modeling approaches have been developed to predict the impacts of climate change on species distributions, performance, and abundance. The stronger the agreement from models that represent different processes and are based on distinct and independent sources of information, the greater the confidence we can have in their predictions. Evaluating the level of confidence is particularly important when predictions are used to guide conservation or restoration decisions. We used a multi-model approach to predict climate change impacts on big sagebrush (Artemisia tridentata), the dominant plant species on roughly 43 million hectares in the western United States and a key resource for many endemic wildlife species. To evaluate the climate sensitivity of A. tridentata, we developed four predictive models, two based on empirically derived spatial and temporal relationships, and two that applied mechanistic approaches to simulate sagebrush recruitment and growth. This approach enabled us to produce an aggregate index of climate change vulnerability and uncertainty based on the level of agreement between models. Despite large differences in model structure, predictions of sagebrush response to climate change were largely consistent. Performance, as measured by change in cover, growth, or recruitment, was predicted to decrease at the warmest sites, but increase throughout the cooler portions of sagebrush's range. A sensitivity analysis indicated that sagebrush performance responds more strongly to changes in temperature than precipitation. Most of the uncertainty in model predictions reflected variation among the ecological models, raising questions about the reliability of forecasts based on a single modeling approach. Our results highlight the value of a multi-model approach in forecasting climate change impacts and uncertainties and should help land managers to maximize the value of conservation investments.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13900","usgsCitation":"Renwick, K.M., Curtis, C., Kleinhesselink, A.R., Schlaepfer, D., Bradley, B.A., Aldridge, C.L., Poulter, B., and Adler, P.B., 2018, Multi-model comparison highlights consistency in predicted effect of warming on a semi-arid shrub: Global Change Biology, v. 24, no. 1, p. 424-438, https://doi.org/10.1111/gcb.13900.","productDescription":"15 p.","startPage":"424","endPage":"438","ipdsId":"IP-087416","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":469159,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/gcb.13900","text":"External Repository"},{"id":349003,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.16845703125,\n 34.19817309627726\n ],\n [\n -103.99658203125,\n 34.19817309627726\n ],\n [\n -103.99658203125,\n 48.980216985374994\n ],\n [\n -120.16845703125,\n 48.980216985374994\n ],\n [\n -120.16845703125,\n 34.19817309627726\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"24","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-11","publicationStatus":"PW","scienceBaseUri":"5a60fad7e4b06e28e9c227aa","contributors":{"authors":[{"text":"Renwick, Katherine M.","contributorId":200471,"corporation":false,"usgs":false,"family":"Renwick","given":"Katherine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":722465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Curtis, Caroline","contributorId":200472,"corporation":false,"usgs":false,"family":"Curtis","given":"Caroline","email":"","affiliations":[],"preferred":false,"id":722466,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kleinhesselink, Andrew R.","contributorId":192387,"corporation":false,"usgs":false,"family":"Kleinhesselink","given":"Andrew","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":722467,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schlaepfer, Daniel R.","contributorId":105189,"corporation":false,"usgs":false,"family":"Schlaepfer","given":"Daniel R.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":722469,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradley, Bethany A.","contributorId":40117,"corporation":false,"usgs":true,"family":"Bradley","given":"Bethany","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":722470,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":722464,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Poulter, Benjamin 0000-0002-9493-8600","orcid":"https://orcid.org/0000-0002-9493-8600","contributorId":200477,"corporation":false,"usgs":false,"family":"Poulter","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":722471,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Adler, Peter B.","contributorId":64789,"corporation":false,"usgs":false,"family":"Adler","given":"Peter","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":722468,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70194143,"text":"70194143 - 2018 - Influences of landscape heterogeneity on home-range sizes of brown bears","interactions":[],"lastModifiedDate":"2018-05-20T18:27:17","indexId":"70194143","displayToPublicDate":"2017-11-15T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2653,"text":"Mammalian Biology","active":true,"publicationSubtype":{"id":10}},"title":"Influences of landscape heterogeneity on home-range sizes of brown bears","docAbstract":"Animal space use is influenced by many factors and can affect individual survival and fitness. Under optimal foraging theory, individuals use landscapes to optimize high-quality resources while minimizing the amount of energy used to acquire them. The spatial resource variability hypothesis states that as patchiness of resources increases, individuals use larger areas to obtain the resources necessary to meet energetic requirements. Additionally, under the temporal resource variability hypothesis, seasonal variation in available resources can reduce distances moved while providing a variety of food sources. Our objective was to determine if seasonal home ranges of brown bears (Ursus arctos) were influenced by temporal availability and spatial distribution of resources and whether individual reproductive status, sex, or size (i.e., body mass) mediated space use. To test our hypotheses, we radio collared brown bears (n = 32 [9 male, 23 female]) in 2014–2016 and used 18 a prioriselected linear models to evaluate seasonal utilization distributions (UD) in relation to our hypotheses. Our top-ranked model by AICc, supported the spatial resource variability hypothesis and included percentage of like adjacency (PLADJ) of all cover types (P < 0.01), reproductive class (P > 0.17 for males, solitary females, and females with dependent young), and body mass (kg; P = 0.66). Based on this model, for every percentage increase in PLADJ, UD area was predicted to increase 1.16 times for all sex and reproductive classes. Our results suggest that landscape heterogeneity influences brown bear space use; however, we found that bears used larger areas when landscape homogeneity increased, presumably to gain a diversity of food resources. Our results did not support the temporal resource variability hypothesis, suggesting that the spatial distribution of food was more important than seasonal availability in relation to brown bear home range size.
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Fault‐slip rates can be estimated by modeling fault systems, based on space geodetic measurements of active surface ground displacement such as Global Navigation Satellite Systems (GNSS) and Interferometric Synthetic Aperture Radar (InSAR). Geodetic slip‐rate estimates may vary widely due to measurement and epistemic (model) uncertainties, presenting a challenge for both estimating slip rates and accurately characterizing uncertainties: models may vary in the number of faults represented and the precise location of those faults. Since 2003, 33 published geodetic deformation models have produced slip‐rate estimates within California. Variability among these models represents variability among valid model choices and may be considered a proxy for model uncertainties in geodetic slip‐rate estimates. To enable rigorous comparison between geodetic slip‐rate estimates, I combine models on a georeferenced grid and find an average standard deviation on slip rate of ∼1.5 mm/yr over 542 grid cells (average area of 1304 km2/cell). Furthermore, the average strike‐slip and tensile‐slip rates over all 33 studies, in each grid cell, may then be projected onto Unified California Earthquake Rupture Forecast (UCERF) v.3.1 faults for a single summary model of geodetic slip rates. Slip rates that do not project perfectly onto UCERF3.1 faults form a summary model of off‐modeled‐fault (OMF) deformation. Most of this OMF deformation occurs in grid cells that intersect UCERF3.1 faults, suggesting that off‐fault deformation may be, in part, a product of epistemic uncertainty in geodetic slip‐rate estimates and may be physically accommodated on, or very near, UCERF faults.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120170159","usgsCitation":"Evans, E., 2018, A comprehensive analysis of geodetic slip rate estimates and uncertainties in California: Bulletin of the Seismological Society of America, v. 108, no. 1, p. 1-18, https://doi.org/10.1785/0120170159.","productDescription":"18 p.","startPage":"1","endPage":"18","ipdsId":"IP-086957","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":482448,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"108","issue":"1","noUsgsAuthors":false,"publicationDate":"2017-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Evans, Eileen 0000-0002-7290-5269 eevans@usgs.gov","orcid":"https://orcid.org/0000-0002-7290-5269","contributorId":167021,"corporation":false,"usgs":true,"family":"Evans","given":"Eileen","email":"eevans@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":928556,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70193529,"text":"70193529 - 2018 - The effects of swimming exercise and dissolved oxygen on growth performance, fin condition and precocious maturation of early-rearing Atlantic salmon Salmo salar","interactions":[],"lastModifiedDate":"2018-01-11T16:14:22","indexId":"70193529","displayToPublicDate":"2017-11-14T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":857,"text":"Aquaculture Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The effects of swimming exercise and dissolved oxygen on growth performance, fin condition and precocious maturation of early-rearing Atlantic salmon Salmo salar","title":"The effects of swimming exercise and dissolved oxygen on growth performance, fin condition and precocious maturation of early-rearing Atlantic salmon Salmo salar","docAbstract":"Swimming exercise, typically measured in body-lengths per second (BL/s), and dissolved oxygen (DO), are important environmental variables in fish culture. While there is an obvious physiological association between these two parameters, their interaction has not been adequately studied in Atlantic salmon Salmo salar. Because exercise and DO are variables that can be easily manipulated in modern aquaculture systems, we sought to assess the impact of these parameters, alone and in combination, on the performance, health and welfare of juvenile Atlantic salmon. In our study, Atlantic salmon fry were stocked into 12 circular 0.5 m3 tanks in a flow-through system and exposed to either high (1.5–2 BL/s) or low (<0.5 BL/s) swimming speeding and high (100% saturation) or low (70% saturation) DO while being raised from 10 g to approximately 350 g in weight. Throughout the study period, we assessed the impacts of exercise and DO concentration on growth, feed conversion, survival and fin condition. By study's end, both increased swimming speed and higher DO were independently associated with a statistically significant increase in growth performance (p < .05); however, no significant differences were noted in survival and feed conversion. Caudal fin damage was associated with low DO, while right pectoral fin damage was associated with higher swimming speed. Finally, precocious male sexual maturation was associated with low swimming speed. These results suggest that providing exercise and dissolved oxygen at saturation during Atlantic salmon early rearing can result in improved growth performance and a lower incidence of precocious parr.
","language":"English","publisher":"Wiley","doi":"10.1111/are.13511","usgsCitation":"Waldrop, T., Summerfelt, S.T., Mazik, P.M., and Good, C., 2018, The effects of swimming exercise and dissolved oxygen on growth performance, fin condition and precocious maturation of early-rearing Atlantic salmon Salmo salar: Aquaculture Research, v. 49, no. 2, p. 801-808, https://doi.org/10.1111/are.13511.","productDescription":"8 p.","startPage":"801","endPage":"808","ipdsId":"IP-084451","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":461119,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/are.13511","text":"Publisher Index Page"},{"id":348841,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-26","publicationStatus":"PW","scienceBaseUri":"5a60fad8e4b06e28e9c227bb","contributors":{"authors":[{"text":"Waldrop, Thomas","contributorId":56977,"corporation":false,"usgs":true,"family":"Waldrop","given":"Thomas","affiliations":[],"preferred":false,"id":722051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Summerfelt, Steven T.","contributorId":192709,"corporation":false,"usgs":false,"family":"Summerfelt","given":"Steven","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":722052,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mazik, Patricia M. 0000-0002-8046-5929 pmazik@usgs.gov","orcid":"https://orcid.org/0000-0002-8046-5929","contributorId":2318,"corporation":false,"usgs":true,"family":"Mazik","given":"Patricia","email":"pmazik@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719276,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Good, Christopher","contributorId":200359,"corporation":false,"usgs":false,"family":"Good","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":722053,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193560,"text":"70193560 - 2018 - Predicting intensity of white-tailed deer herbivory in the Central Appalachian Mountains","interactions":[],"lastModifiedDate":"2018-04-02T13:56:58","indexId":"70193560","displayToPublicDate":"2017-11-14T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2298,"text":"Journal of Forestry Research","active":true,"publicationSubtype":{"id":10}},"title":"Predicting intensity of white-tailed deer herbivory in the Central Appalachian Mountains","docAbstract":"In eastern North America, white-tailed deer (Odocoileus virginianus) can have profound influences on forest biodiversity and forest successional processes. Moderate to high deer populations in the central Appalachians have resulted in lower forest biodiversity. Legacy effects in some areas persist even following deer population reductions or declines. This has prompted managers to consider deer population management goals in light of policies designed to support conservation of biodiversity and forest regeneration while continuing to support ample recreational hunting opportunities. However, despite known relationships between herbivory intensity and biodiversity impact, little information exists on the predictability of herbivory intensity across the varied and spatially diverse habitat conditions of the central Appalachians. We examined the predictability of browsing rates across central Appalachian landscapes at four environmental scales: vegetative community characteristics, physical environment, habitat configuration, and local human and deer population demographics. In an information-theoretic approach, we found that a model fitting the number of stems browsed relative to local vegetation characteristics received most (62%) of the overall support of all tested models assessing herbivory impact. Our data suggest that deer herbivory responded most predictably to differences in vegetation quantity and type. No other spatial factors or demographic factors consistently affected browsing intensity. Because herbivory, vegetation communities, and productivity vary spatially, we suggest that effective broad-scale herbivory impact assessment should include spatially-balanced vegetation monitoring that accounts for regional differences in deer forage preference. Effective monitoring is necessary to avoid biodiversity impacts and deleterious changes in vegetation community composition that are difficult to reverse and/or may not be detected using traditional deer-density based management goals.
","language":"English","publisher":"Springer","doi":"10.1007/s11676-017-0476-6","usgsCitation":"Kniowski, A.B., and Ford, W., 2018, Predicting intensity of white-tailed deer herbivory in the Central Appalachian Mountains: Journal of Forestry Research, v. 29, no. 3, p. 841-850, https://doi.org/10.1007/s11676-017-0476-6.","productDescription":"10 p.","startPage":"841","endPage":"850","ipdsId":"IP-086612","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469161,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10919/99324","text":"External Repository"},{"id":348769,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Appalachian Mountains","volume":"29","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-21","publicationStatus":"PW","scienceBaseUri":"5a60fb13e4b06e28e9c22bd8","contributors":{"authors":[{"text":"Kniowski, Andrew B.","contributorId":191558,"corporation":false,"usgs":false,"family":"Kniowski","given":"Andrew","email":"","middleInitial":"B.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":719363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":719362,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70193538,"text":"70193538 - 2018 - Understanding the basis of shortnose sturgeon (Acipenser brevirostrum) partial migration in the Gulf of Maine","interactions":[],"lastModifiedDate":"2018-02-22T12:44:59","indexId":"70193538","displayToPublicDate":"2017-11-14T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Understanding the basis of shortnose sturgeon (Acipenser brevirostrum) partial migration in the Gulf of Maine","title":"Understanding the basis of shortnose sturgeon (Acipenser brevirostrum) partial migration in the Gulf of Maine","docAbstract":"Movement of shortnose sturgeon (Acipenser brevirostrum) among major river systems in the Gulf of Maine is common and has implications for the management of this endangered species. Directed movements of 61 telemetered individuals monitored between 2010 and 2013 were associated with the river of tagging and individual characteristics. While a small proportion of fish tagged in the Kennebec River moved to the Penobscot River (5%), a much higher proportion of fish tagged in the Penobscot River moved to the Kennebec River (66%), during probable spawning windows. This suggests that Penobscot River fish derive from a migratory contingent within a larger Kennebec River population. Despite this connectivity, fish captured in the Penobscot River were larger (∼100 mm fork length) and had higher condition factors (median Fulton’s K: 0.76) than those captured in the Kennebec River (median Fulton’s K: 0.61). Increased abundance and resource limitation in the Kennebec River may be constraining growth and promoting migration to the Penobscot River by individuals with sufficient initial size and condition. Migrants could experience an adaptive reproductive advantage relative to nonmigratory individuals.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2017-0083","usgsCitation":"Altenritter, M.E., Zydlewski, G., Kinnison, M.T., Zydlewski, J.D., and Wippelhauser, G.S., 2018, Understanding the basis of shortnose sturgeon (Acipenser brevirostrum) partial migration in the Gulf of Maine: Canadian Journal of Fisheries and Aquatic Sciences, v. 75, no. 3, p. 464-473, https://doi.org/10.1139/cjfas-2017-0083.","productDescription":"10 p.","startPage":"464","endPage":"473","ipdsId":"IP-079298","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":501025,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/79758","text":"External Repository"},{"id":348835,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Gulf of Maine","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70,\n 43.75\n ],\n [\n -68.5,\n 43.75\n ],\n [\n -68.5,\n 45\n ],\n [\n -70,\n 45\n ],\n [\n -70,\n 43.75\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"75","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb13e4b06e28e9c22be2","contributors":{"authors":[{"text":"Altenritter, Matthew E.","contributorId":179378,"corporation":false,"usgs":false,"family":"Altenritter","given":"Matthew","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":722039,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zydlewski, Gayle B.","contributorId":139211,"corporation":false,"usgs":false,"family":"Zydlewski","given":"Gayle B.","affiliations":[{"id":12606,"text":"University of Maine, Dept of Plant, Soil, & Envir Sciences","active":true,"usgs":false}],"preferred":false,"id":722040,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kinnison, Michael T.","contributorId":169617,"corporation":false,"usgs":false,"family":"Kinnison","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":722041,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":719307,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wippelhauser, Gail S.","contributorId":169680,"corporation":false,"usgs":false,"family":"Wippelhauser","given":"Gail","email":"","middleInitial":"S.","affiliations":[{"id":25571,"text":"Maine Department of Marine Resources, Augusta, ME","active":true,"usgs":false}],"preferred":false,"id":722042,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70194077,"text":"70194077 - 2018 - Modeling the compensatory response of an invasive tree to specialist insect herbivory","interactions":[],"lastModifiedDate":"2018-01-05T14:02:43","indexId":"70194077","displayToPublicDate":"2017-11-14T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1016,"text":"Biological Control","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the compensatory response of an invasive tree to specialist insect herbivory","docAbstract":"The severity of the effects of herbivory on plant fitness can be moderated by the ability of plants to compensate for biomass loss. Compensation is an important component of the ecological fitness in many plants, and has been shown to reduce the effects of pests on agricultural plant yields. It can also reduce the effectiveness of biocontrol through introduced herbivores in controlling weedy invasive plants. This study used a modeling approach to predict the effect of different levels of foliage herbivory by biological control agents introduced to control the invasive tree Melaleuca quinquennervia (melaleuca) in Florida. It is assumed in the model that melaleuca can optimally change its carbon and nitrogen allocation strategies in order to compensate for the effects of herbivory. The model includes reallocation of more resources to production and maintenance of photosynthetic tissues at the expense of roots. This compensation is shown to buffer the severity of the defoliation effect, but the model predicts a limit on the maximum herbivory that melaleuca can tolerate and survive. The model also shows that the level of available limiting nutrient (e.g., soil nitrogen) may play an important role in a melaleuca’s ability to compensate for herbivory. This study has management implications for the best ways to maximize the level of damage using biological control or other means of defoliation.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocontrol.2017.11.002","usgsCitation":"Zhang, B., Liu, X., DeAngelis, D.L., Zhai, L., Rayamajhi, M.B., and Ju, S., 2018, Modeling the compensatory response of an invasive tree to specialist insect herbivory: Biological Control, v. 117, p. 128-136, https://doi.org/10.1016/j.biocontrol.2017.11.002.","productDescription":"9 p.","startPage":"128","endPage":"136","ipdsId":"IP-090151","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":469160,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocontrol.2017.11.002","text":"Publisher Index Page"},{"id":348850,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","volume":"117","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fad8e4b06e28e9c227b4","contributors":{"authors":[{"text":"Zhang, Bo","contributorId":146526,"corporation":false,"usgs":false,"family":"Zhang","given":"Bo","email":"","affiliations":[{"id":16714,"text":"Dept. of Biology, University of Miami","active":true,"usgs":false}],"preferred":false,"id":722070,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Xin","contributorId":146527,"corporation":false,"usgs":false,"family":"Liu","given":"Xin","email":"","affiliations":[{"id":16715,"text":"Nanjing Forestry University, Nanjing, China","active":true,"usgs":false}],"preferred":false,"id":722071,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":722072,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhai, Lu","contributorId":147395,"corporation":false,"usgs":false,"family":"Zhai","given":"Lu","affiliations":[{"id":16839,"text":"Department of Biology, University of Miami, Coral Gables, Florida","active":true,"usgs":false}],"preferred":false,"id":722073,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rayamajhi, Min B.","contributorId":191306,"corporation":false,"usgs":false,"family":"Rayamajhi","given":"Min","email":"","middleInitial":"B.","affiliations":[{"id":33268,"text":"USDA-ARS Aquatic Weed Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":722074,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ju, Shu","contributorId":200346,"corporation":false,"usgs":false,"family":"Ju","given":"Shu","email":"","affiliations":[{"id":13532,"text":"Department of Biology, University of Miami","active":true,"usgs":false}],"preferred":false,"id":722075,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70193612,"text":"70193612 - 2018 - Growth potential and habitat requirements of endangered age-0 pallid sturgeon (Scaphirhynchus albus) in the Missouri River, USA, determined using a individual-based model framework","interactions":[],"lastModifiedDate":"2017-12-11T13:07:48","indexId":"70193612","displayToPublicDate":"2017-11-13T00:00:00","publicationYear":"2018","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":"Growth potential and habitat requirements of endangered age-0 pallid sturgeon (Scaphirhynchus albus) in the Missouri River, USA, determined using a individual-based model framework","title":"Growth potential and habitat requirements of endangered age-0 pallid sturgeon (Scaphirhynchus albus) in the Missouri River, USA, determined using a individual-based model framework","docAbstract":"An individual-based model framework was used to evaluate growth potential of the federally endangered pallid sturgeon (Scaphirhynchus albus) in the Missouri River. The model, developed for age-0 sturgeon, combines information on functional feeding response, bioenergetics and swimming ability to regulate consumption and growth within a virtual foraging arena. Empirical data on water temperature, water velocity and prey density were obtained from three sites in the Missouri River and used as inputs in the model to evaluate hypotheses concerning factors affecting pallid sturgeon growth. The model was also used to evaluate the impacts of environmental heterogeneity and water velocity on individual growth variability, foraging success and dispersal ability. Growth was simulated for a period of 100 days using 100 individuals (first feeding; 19 mm and 0.035 g) per scenario. Higher growth was shown to occur at sites where high densities of Ephemeroptera and Chironomidae larvae occurred throughout the growing season. Highly heterogeneous habitats (i.e., wide range of environmental conditions) and moderate water velocities (0.3 m/s) were also found to positively affect growth rates. The model developed here provides an important management and conservation tool for evaluating growth hypotheses and(or) identifying habitats in the Missouri River that are favourable to age-0 pallid sturgeon growth.
","language":"English","publisher":"Wiley","doi":"10.1111/eff.12337","usgsCitation":"Deslauriers, D., Heironimus, L.B., Rapp, T., Graeb, B.D., Klumb, R.A., and Chipps, S.R., 2018, Growth potential and habitat requirements of endangered age-0 pallid sturgeon (Scaphirhynchus albus) in the Missouri River, USA, determined using a individual-based model framework: Ecology of Freshwater Fish, v. 27, no. 1, p. 198-208, https://doi.org/10.1111/eff.12337.","productDescription":"11 p.","startPage":"198","endPage":"208","ipdsId":"IP-080765","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348729,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-24","publicationStatus":"PW","scienceBaseUri":"5a60fad8e4b06e28e9c227cb","contributors":{"authors":[{"text":"Deslauriers, David","contributorId":187586,"corporation":false,"usgs":false,"family":"Deslauriers","given":"David","email":"","affiliations":[],"preferred":false,"id":719622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heironimus, Laura B.","contributorId":187587,"corporation":false,"usgs":false,"family":"Heironimus","given":"Laura","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":719623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rapp, Tobias","contributorId":199643,"corporation":false,"usgs":false,"family":"Rapp","given":"Tobias","email":"","affiliations":[],"preferred":false,"id":719624,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graeb, Brian D. S.","contributorId":171851,"corporation":false,"usgs":false,"family":"Graeb","given":"Brian","email":"","middleInitial":"D. S.","affiliations":[{"id":26956,"text":"Departement of Natural Resource Management, Brookings, SD","active":true,"usgs":false}],"preferred":false,"id":719625,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Klumb, Robert A.","contributorId":86606,"corporation":false,"usgs":true,"family":"Klumb","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false},{"id":561,"text":"South Dakota Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true},{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":719626,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719621,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70193580,"text":"70193580 - 2018 - Landscape capability models as a tool to predict fine-scale forest bird occupancy and abundance","interactions":[],"lastModifiedDate":"2018-02-05T15:33:08","indexId":"70193580","displayToPublicDate":"2017-11-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Landscape capability models as a tool to predict fine-scale forest bird occupancy and abundance","docAbstract":"Context
Species-specific models of landscape capability (LC) can inform landscape conservation design. Landscape capability is “the ability of the landscape to provide the environment […] and the local resources […] needed for survival and reproduction […] in sufficient quantity, quality and accessibility to meet the life history requirements of individuals and local populations.” Landscape capability incorporates species’ life histories, ecologies, and distributions to model habitat for current and future landscapes and climates as a proactive strategy for conservation planning.
Objectives
We tested the ability of a set of LC models to explain variation in point occupancy and abundance for seven bird species representative of spruce-fir, mixed conifer-hardwood, and riparian and wooded wetland macrohabitats.
Methods
We compiled point count data sets used for biological inventory, species monitoring, and field studies across the northeastern United States to create an independent validation data set. Our validation explicitly accounted for underestimation in validation data using joint distance and time removal sampling.
Results
Blackpoll warbler (Setophaga striata), wood thrush (Hylocichla mustelina), and Louisiana (Parkesia motacilla) and northern waterthrush (P. noveboracensis) models were validated as predicting variation in abundance, although this varied from not biologically meaningful (1%) to strongly meaningful (59%). We verified all seven species models [including ovenbird (Seiurus aurocapilla), blackburnian (Setophaga fusca) and cerulean warbler (Setophaga cerulea)], as all were positively related to occupancy data.
Conclusions
LC models represent a useful tool for conservation planning owing to their predictive ability over a regional extent. As improved remote-sensed data become available, LC layers are updated, which will improve predictions.
Understanding the drivers of biological invasions is critical for preserving aquatic biodiversity. Stream fishes make excellent model taxa for examining mechanisms driving species introduction success because their distributions are naturally limited by catchment boundaries. In this study, we compared the relative importance of catchment-scale abiotic and biotic predictors of native and nonindigenous minnow (Cyprinidae) richness in 170 catchments throughout the eastern United States. We compared historic and contemporary cyprinid distributional data to determine catchment-wise native/nonindigenous status for 152 species. Catchment-scale model predictor variables described natural (elevation, precipitation, flow accumulation) and anthropogenic (developed land cover, number of dams) abiotic features, as well as native congener richness. Native congener richness may represent either biotic resistance via interspecific competition, or trait preadaptation according to Darwin's naturalisation hypothesis. We used generalised linear mixed models to examine evidence supporting the relative roles of abiotic and biotic predictors of cyprinid introduction success. Native congener richness was positively correlated with nonindigenous cyprinid richness and was the most important variable predicting nonindigenous cyprinid richness. Mean elevation had a weak positive effect, and effects of other abiotic factors were insignificant and less important. Our results suggest that at this spatial scale, trait preadaptation may be more important than intrageneric competition for determining richness of nonindigenous fishes.
","language":"English","publisher":"Wiley","doi":"10.1111/eff.12331","usgsCitation":"Peoples, B.K., Midway, S.R., DeWeber, J.T., and Wagner, T., 2018, Catchment-scale determinants of nonindigenous minnow richness in the eastern United States: Ecology of Freshwater Fish, v. 27, no. 1, p. 138-145, https://doi.org/10.1111/eff.12331.","productDescription":"8 p.","startPage":"138","endPage":"145","ipdsId":"IP-074166","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":461121,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eff.12331","text":"Publisher Index Page"},{"id":348724,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.78125,\n 29.53522956294847\n ],\n [\n -66.62109375,\n 29.53522956294847\n ],\n [\n -66.62109375,\n 47.487513008956554\n ],\n [\n -85.78125,\n 47.487513008956554\n ],\n [\n -85.78125,\n 29.53522956294847\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-13","publicationStatus":"PW","scienceBaseUri":"5a60fad8e4b06e28e9c227c7","contributors":{"authors":[{"text":"Peoples, Brandon K.","contributorId":177551,"corporation":false,"usgs":false,"family":"Peoples","given":"Brandon","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":719709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Midway, Stephen R.","contributorId":172159,"corporation":false,"usgs":false,"family":"Midway","given":"Stephen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":719710,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeWeber, Jefferson T.","contributorId":199675,"corporation":false,"usgs":false,"family":"DeWeber","given":"Jefferson","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":719711,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719708,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192873,"text":"70192873 - 2018 - Complex mixtures of dissolved pesticides show potential aquatic toxicity in a synoptic study of Midwestern U.S. streams","interactions":[],"lastModifiedDate":"2021-05-28T14:32:49.798524","indexId":"70192873","displayToPublicDate":"2017-11-13T00:00:00","publicationYear":"2018","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":"Complex mixtures of dissolved pesticides show potential aquatic toxicity in a synoptic study of Midwestern U.S. streams","docAbstract":"Aquatic organisms in streams are exposed to pesticide mixtures that vary in composition over time in response to changes in flow conditions, pesticide inputs to the stream, and pesticide fate and degradation within the stream. To characterize mixtures of dissolved-phase pesticides and degradates in Midwestern streams, a synoptic study was conducted at 100 streams during May–August 2013. In weekly water samples, 94 pesticides and 89 degradates were detected, with a median of 25 compounds detected per sample and 54 detected per site. In a screening-level assessment using aquatic-life benchmarks and the Pesticide Toxicity Index (PTI), potential effects on fish were unlikely in most streams. For invertebrates, potential chronic toxicity was predicted in 53% of streams, punctuated in 12% of streams by acutely toxic exposures. For aquatic plants, acute but likely reversible effects on biomass were predicted in 75% of streams, with potential longer-term effects on plant communities in 9% of streams. Relatively few pesticides in water—atrazine, acetochlor, metolachlor, imidacloprid, fipronil, organophosphate insecticides, and carbendazim—were predicted to be major contributors to potential toxicity. Agricultural streams had the highest potential for effects on plants, especially in May–June, corresponding to high spring-flush herbicide concentrations. Urban streams had higher detection frequencies and concentrations of insecticides and most fungicides than in agricultural streams, and higher potential for invertebrate toxicity, which peaked during July–August. Toxicity-screening predictions for invertebrates were supported by quantile regressions showing significant associations for the Benthic Invertebrate-PTI and imidacloprid concentrations with invertebrate community metrics for MSQA streams, and by mesocosm toxicity testing with imidacloprid showing effects on invertebrate communities at environmentally relevant concentrations. This study documents the most complex pesticide mixtures yet reported in discrete water samples in the U.S. and, using multiple lines of evidence, predicts that pesticides were potentially toxic to nontarget aquatic life in about half of the sampled streams.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2017.06.156","usgsCitation":"Nowell, L.H., Moran, P.W., Schmidt, T., Norman, J.E., Nakagaki, N., Shoda, M.E., Mahler, B., Van Metre, P., Stone, W.W., Sandstrom, M.W., and Hladik, M., 2018, Complex mixtures of dissolved pesticides show potential aquatic toxicity in a synoptic study of Midwestern U.S. streams: Science of the Total Environment, v. 613-614, p. 1469-1488, https://doi.org/10.1016/j.scitotenv.2017.06.156.","productDescription":"23 p.","startPage":"1469","endPage":"1488","ipdsId":"IP-080181","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"links":[{"id":469162,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2017.06.156","text":"Publisher Index Page"},{"id":438075,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7Z899M8","text":"USGS data release","linkHelpText":"Mixtures of dissolved pesticides in 100 streams in the Midwestern U.S., 2013"},{"id":438074,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7CN7202","text":"USGS data release","linkHelpText":"Geospatial database of the study boundary, sampled sites, watersheds, and riparian zones developed for Midwest Stream Quality Assessment"},{"id":348699,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, Kansas, Kentucky, Michigan, Minnesota, Missouri, Ohio, South Dakota, Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.3525390625,\n 42.19596877629178\n ],\n [\n -87.47314453125,\n 41.65649719441145\n ],\n [\n -87.9345703125,\n 43.40504748787035\n ],\n [\n -87.275390625,\n 44.809121700077355\n ],\n [\n -87.51708984375,\n 44.91813929958515\n ],\n [\n -87.91259765625,\n 44.62175409623324\n ],\n [\n -88.8134765625,\n 44.24519901522129\n ],\n [\n -89.75830078125,\n 42.98857645832184\n ],\n [\n -89.5166015625,\n 42.01665183556825\n ],\n [\n -90.3955078125,\n 42.47209690919285\n ],\n [\n -91.07666015625,\n 42.8115217450979\n ],\n [\n -92.4169921875,\n 43.628123412124616\n ],\n [\n -92.724609375,\n 44.74673324024678\n ],\n [\n -93.53759765625,\n 45.3521452458518\n ],\n [\n -93.71337890625,\n 44.55916341529182\n ],\n [\n -93.71337890625,\n 44.18220395771566\n ],\n [\n -95.42724609375,\n 45.22848059584359\n ],\n [\n -97.03125,\n 45.259422036351694\n ],\n [\n -97.27294921875,\n 44.574817404670306\n ],\n [\n -97.27294921875,\n 42.56926437219384\n ],\n [\n -99.20654296875,\n 42.4234565179383\n ],\n [\n -98.67919921875,\n 41.52502957323801\n ],\n [\n -95.712890625,\n 38.75408327579141\n ],\n [\n -92.98828125,\n 37.996162679728116\n ],\n [\n -90.3076171875,\n 38.35888785866677\n ],\n [\n -89.296875,\n 36.87962060502676\n ],\n [\n -85.58349609375,\n 37.07271048132943\n ],\n [\n -86.19873046875,\n 39.33429742980725\n ],\n [\n -84.5068359375,\n 38.151837403006766\n ],\n [\n -82.5732421875,\n 39.18117526158749\n ],\n [\n -81.650390625,\n 40.613952441166596\n ],\n [\n -81.73828125,\n 41.27780646738183\n ],\n [\n -82.90283203125,\n 41.32732632036622\n ],\n [\n -83.43017578125,\n 42.79540065303723\n ],\n [\n -83.935546875,\n 43.03677585761058\n ],\n [\n -85.36376953125,\n 42.049292638686836\n ],\n [\n -86.3525390625,\n 42.19596877629178\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"613-614","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fad8e4b06e28e9c227cf","contributors":{"authors":[{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":37277,"text":"WMA - 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Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":717270,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hladik, Michelle L. 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":189904,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle L.","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":717269,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70193562,"text":"70193562 - 2018 - Explicit versus implicit motivations: Clarifying how experiences affect turkey hunter satisfaction using revised importance-performance, importance grid, and penalty-reward-contrast analyses","interactions":[],"lastModifiedDate":"2018-01-24T15:42:38","indexId":"70193562","displayToPublicDate":"2017-11-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1909,"text":"Human Dimensions of Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Explicit versus implicit motivations: Clarifying how experiences affect turkey hunter satisfaction using revised importance-performance, importance grid, and penalty-reward-contrast analyses","docAbstract":"Although research has advanced methods for clarifying factors that relate to customer satisfaction, they have not been embraced by leisure researchers. Using results from a survey of wild turkey hunters, we applied traditional and revised importance-performance (IPA/RIPA), importance-grid analysis (IGA), and penalty-reward-contrast analysis (PRCA) to examine how activity-specific factors influenced satisfaction. Results suggested differences between the explicit and implicit importance of factors related to turkey hunting. Opportunities to kill turkeys were explicitly rated as less important than seeing, hearing, or calling in turkeys, but opportunities for harvest had relatively higher levels of implicit importance. PRCA identified “calling turkeys in” and “hearing gobbling” as minimum requirements that cause dissatisfaction if not fulfilled, but do not provide satisfaction, whereas “seeing turkeys” and an “opportunity to kill a turkey” related to both satisfaction and dissatisfaction. RIPA, IGA, and PRCA could provide valuable insights about factors that may improve satisfaction for leisure participants.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10871209.2018.1385112","usgsCitation":"Schroeder, S., Cornicelli, L., Fulton, D.C., and Merchant, S., 2018, Explicit versus implicit motivations: Clarifying how experiences affect turkey hunter satisfaction using revised importance-performance, importance grid, and penalty-reward-contrast analyses: Human Dimensions of Wildlife, v. 23, no. 1, p. 1-20, https://doi.org/10.1080/10871209.2018.1385112.","productDescription":"20 p.","startPage":"1","endPage":"20","ipdsId":"IP-083736","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348750,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-25","publicationStatus":"PW","scienceBaseUri":"5a60fb14e4b06e28e9c22c03","contributors":{"authors":[{"text":"Schroeder, Susan A.","contributorId":78235,"corporation":false,"usgs":true,"family":"Schroeder","given":"Susan A.","affiliations":[],"preferred":false,"id":721934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cornicelli, Louis","contributorId":168400,"corporation":false,"usgs":false,"family":"Cornicelli","given":"Louis","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":721935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719365,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Merchant, Steven S.","contributorId":199552,"corporation":false,"usgs":false,"family":"Merchant","given":"Steven S.","affiliations":[],"preferred":false,"id":721936,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193564,"text":"70193564 - 2018 - Snowshoe hare multi-level habitat use in a fire-adapted ecosystem","interactions":[],"lastModifiedDate":"2018-01-24T15:43:33","indexId":"70193564","displayToPublicDate":"2017-11-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Snowshoe hare multi-level habitat use in a fire-adapted ecosystem","docAbstract":"Prescribed burning has the potential to improve habitat for species that depend on pyric ecosystems or other early successional vegetation types. For species that occupy diverse plant communities over the extent of their range, response to disturbances such as fire might vary based on post-disturbance vegetation dynamics among plant communities. Although responses of snowshoe hares (Lepus americanus) to fire have been studied in conifer-dominated forests in northern parts of the species’ range, there is a lack of information on snowshoe hare habitat use in fire-dependent communities in southern parts of their range. We used global positioning system (GPS) and very high frequency (VHF) radio-collars to monitor the habitat use of 32 snowshoe hares in a scrub-oak (Quercus ilicifolia)-pitch pine (Pinus rigida) barrens complex in northeastern Pennsylvania where prescribed fire has been used for habitat restoration. The area contained stands that underwent prescribed burning 1–6 years prior to our study. Also, we investigated fine-scale determinants of habitat use within stands. We found that regardless of season, hares did not select for areas that had been burned within 6 years prior. Hares primarily used stands of older scrub oak, conifer, or hardwoods, which contained dense understory vegetation and canopy cover. Hare habitat use also was positively associated with stand edges. Our results suggest that hares do not respond to prescribed burning of scrub oak in the short-term. In addition, by focusing on structural determinants of habitat use, rather than broad-scale characteristics such as stand type, management strategies for snowshoe hares can be adapted over the extent of their range despite the multitude of different land cover types across which the species occurs.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21375","usgsCitation":"Gigliotti, L., Jones, B.C., Lovallo, M.J., and Diefenbach, D.R., 2018, Snowshoe hare multi-level habitat use in a fire-adapted ecosystem: Journal of Wildlife Management, v. 82, https://doi.org/10.1002/jwmg.21375.","productDescription":"10 p.","endPage":"435","numberOfPages":"444","ipdsId":"IP-075527","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348749,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","county":"Monroe 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PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-24","publicationStatus":"PW","scienceBaseUri":"5a60fb14e4b06e28e9c22bff","contributors":{"authors":[{"text":"Gigliotti, Laura C. 0000-0002-6390-4133","orcid":"https://orcid.org/0000-0002-6390-4133","contributorId":200327,"corporation":false,"usgs":false,"family":"Gigliotti","given":"Laura C.","affiliations":[],"preferred":false,"id":721930,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Benjamin C.","contributorId":200328,"corporation":false,"usgs":false,"family":"Jones","given":"Benjamin","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":721931,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lovallo, Matthew J.","contributorId":200329,"corporation":false,"usgs":false,"family":"Lovallo","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":721932,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diefenbach, Duane R. 0000-0001-5111-1147 drd11@usgs.gov","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":5235,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane","email":"drd11@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719373,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193989,"text":"70193989 - 2018 - Novel dermatophilosis and concurrent amyloidosis in Sanderlings (Calidris alba) from Louisiana, USA","interactions":[],"lastModifiedDate":"2018-01-11T16:10:42","indexId":"70193989","displayToPublicDate":"2017-11-13T00:00:00","publicationYear":"2018","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}},"displayTitle":"Novel dermatophilosis and concurrent amyloidosis in Sanderlings (Calidris alba) from Louisiana, USA","title":"Novel dermatophilosis and concurrent amyloidosis in Sanderlings (Calidris alba) from Louisiana, USA","docAbstract":"We observed Sanderlings (Calidris alba) with facial growths in coastal Louisiana, US during summer of 2016. Severe lesions were associated with lethargy and lack of a flight response. We determined that the skin growth etiology was a bacterium of the genus Dermatophilus, rarely reported infecting birds. Sanderlings also exhibited severe amyloidosis.
","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2017-04-078","usgsCitation":"Shearn-Bochsler, V.I., Schulz, J.L., Dobbs, R., Lorch, J.M., Waddle, J., and Grear, D.A., 2018, Novel dermatophilosis and concurrent amyloidosis in Sanderlings (Calidris alba) from Louisiana, USA: Journal of Wildlife Diseases, v. 54, no. 1, p. 189-192, https://doi.org/10.7589/2017-04-078.","productDescription":"4 p.","startPage":"189","endPage":"192","ipdsId":"IP-084721","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":348707,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","volume":"54","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fad8e4b06e28e9c227c1","contributors":{"authors":[{"text":"Shearn-Bochsler, Valerie I. 0000-0002-5590-6518 vbochsler@usgs.gov","orcid":"https://orcid.org/0000-0002-5590-6518","contributorId":3234,"corporation":false,"usgs":true,"family":"Shearn-Bochsler","given":"Valerie","email":"vbochsler@usgs.gov","middleInitial":"I.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":721828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schulz, Jessica L. 0000-0002-8311-9423 jschulz@usgs.gov","orcid":"https://orcid.org/0000-0002-8311-9423","contributorId":200299,"corporation":false,"usgs":true,"family":"Schulz","given":"Jessica","email":"jschulz@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":721829,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dobbs, Robert C. 0000-0002-9079-7249 rdobbs@usgs.gov","orcid":"https://orcid.org/0000-0002-9079-7249","contributorId":200300,"corporation":false,"usgs":false,"family":"Dobbs","given":"Robert C.","email":"rdobbs@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":721830,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lorch, Jeffrey M. 0000-0003-2239-1252 jlorch@usgs.gov","orcid":"https://orcid.org/0000-0003-2239-1252","contributorId":5565,"corporation":false,"usgs":true,"family":"Lorch","given":"Jeffrey","email":"jlorch@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":721831,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waddle, J. Hardin 0000-0003-1940-2133 waddleh@usgs.gov","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":168952,"corporation":false,"usgs":true,"family":"Waddle","given":"J. Hardin","email":"waddleh@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":721832,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grear, Daniel A. 0000-0002-5478-1549 dgrear@usgs.gov","orcid":"https://orcid.org/0000-0002-5478-1549","contributorId":189819,"corporation":false,"usgs":true,"family":"Grear","given":"Daniel","email":"dgrear@usgs.gov","middleInitial":"A.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":721827,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70192969,"text":"70192969 - 2018 - Pharmaceuticals in water, fish and osprey nestlings in Delaware River and Bay","interactions":[],"lastModifiedDate":"2017-11-12T16:52:21","indexId":"70192969","displayToPublicDate":"2017-11-12T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Pharmaceuticals in water, fish and osprey nestlings in Delaware River and Bay","docAbstract":"Exposure of wildlife to Active Pharmaceutical Ingredients (APIs) is likely to occur but studies of risk are limited. One exposure pathway that has received attention is trophic transfer of APIs in a water-fish-osprey food chain. Samples of water, fish plasma and osprey plasma were collected from Delaware River and Bay, and analyzed for 21 APIs. Only 2 of 21 analytes exceeded method detection limits in osprey plasma (acetaminophen and diclofenac) with plasma levels typically 2–3 orders of magnitude below human therapeutic concentrations (HTC). We built upon a screening level model used to predict osprey exposure to APIs in Chesapeake Bay and evaluated whether exposure levels could have been predicted in Delaware Bay had we just measured concentrations in water or fish. Use of surface water and BCFs did not predict API concentrations in fish well, likely due to fish movement patterns, and partitioning and bioaccumulation uncertainties associated with these ionizable chemicals. Input of highest measured API concentration in fish plasma combined with pharmacokinetic data accurately predicted that diclofenac and acetaminophen would be the APIs most likely detected in osprey plasma. For the majority of APIs modeled, levels were not predicted to exceed 1 ng/mL or method detection limits in osprey plasma. Based on the target analytes examined, there is little evidence that APIs represent a significant risk to ospreys nesting in Delaware Bay. If an API is present in fish orders of magnitude below HTC, sampling of fish-eating birds is unlikely to be necessary. However, several human pharmaceuticals accumulated in fish plasma within a recommended safety factor for HTC. It is now important to expand the scope of diet-based API exposure modeling to include alternative exposure pathways (e.g., uptake from landfills, dumps and wastewater treatment plants) and geographic locations (developing countries) where API contamination of the environment may represent greater risk.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2017.09.083","usgsCitation":"Bean, T., Rattner, B.A., Lazarus, R.S., Day, D.D., Burket, S.R., Brooks, B.W., Haddad, S.P., and Bowerman, W.W., 2018, Pharmaceuticals in water, fish and osprey nestlings in Delaware River and Bay: Environmental Pollution, v. 232, p. 533-545, https://doi.org/10.1016/j.envpol.2017.09.083.","productDescription":"13 p.","startPage":"533","endPage":"545","ipdsId":"IP-086763","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":461125,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envpol.2017.09.083","text":"Publisher Index Page"},{"id":348631,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, New Jersey, Pennsylvania","otherGeospatial":"Delaware Bay, Delaware River","volume":"232","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a096bade4b09af898c94133","contributors":{"authors":[{"text":"Bean, Thomas G. 0000-0002-3577-1994 tbean@usgs.gov","orcid":"https://orcid.org/0000-0002-3577-1994","contributorId":195993,"corporation":false,"usgs":true,"family":"Bean","given":"Thomas G.","email":"tbean@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":717477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":717476,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lazarus, Rebecca S. 0000-0003-1731-6469 rlazarus@usgs.gov","orcid":"https://orcid.org/0000-0003-1731-6469","contributorId":5594,"corporation":false,"usgs":true,"family":"Lazarus","given":"Rebecca","email":"rlazarus@usgs.gov","middleInitial":"S.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":717478,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Day, Daniel D. 0000-0001-9070-7170 dday@usgs.gov","orcid":"https://orcid.org/0000-0001-9070-7170","contributorId":3985,"corporation":false,"usgs":true,"family":"Day","given":"Daniel","email":"dday@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":717479,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burket, S. Rebekah","contributorId":198867,"corporation":false,"usgs":false,"family":"Burket","given":"S.","email":"","middleInitial":"Rebekah","affiliations":[{"id":35352,"text":"Department of Environmental Science, Baylor University, Waco, TX, USA","active":true,"usgs":false}],"preferred":false,"id":717480,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brooks, Bryan W. 0000-0002-6277-9852","orcid":"https://orcid.org/0000-0002-6277-9852","contributorId":198868,"corporation":false,"usgs":false,"family":"Brooks","given":"Bryan","email":"","middleInitial":"W.","affiliations":[{"id":35352,"text":"Department of Environmental Science, Baylor University, Waco, TX, USA","active":true,"usgs":false}],"preferred":false,"id":717481,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Haddad, Samuel P.","contributorId":198869,"corporation":false,"usgs":false,"family":"Haddad","given":"Samuel","email":"","middleInitial":"P.","affiliations":[{"id":35352,"text":"Department of Environmental Science, Baylor University, Waco, TX, USA","active":true,"usgs":false}],"preferred":false,"id":717482,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bowerman, William W.","contributorId":198870,"corporation":false,"usgs":false,"family":"Bowerman","given":"William","email":"","middleInitial":"W.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":717483,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70192970,"text":"70192970 - 2018 - Streambed scour of salmon spawning habitat in a regulated river influenced by management of peak discharge","interactions":[],"lastModifiedDate":"2018-07-23T13:09:02","indexId":"70192970","displayToPublicDate":"2017-11-12T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Streambed scour of salmon spawning habitat in a regulated river influenced by management of peak discharge","docAbstract":"Hotter droughts – droughts in which unusually high temperatures exacerbate the effects of low precipitation – are expected to increase in frequency and severity in coming decades, challenging scientists and managers to identify which parts of forested landscapes may be most vulnerable. In 2014, in the middle of California’s historically unprecedented 2012–2016 hotter drought, we noticed apparently drought-induced foliage dieback in giant sequoias (Sequoiadendron giganteum Lindl. [Buchholz]) in Sequoia and Kings Canyon national parks, California. Characteristics of the dieback were consistent with a controlled process of drought-induced senescence: younger (distal) shoots remained green while older (proximal) shoots were preferentially shed. As part of an ongoing interdisciplinary effort to understand and map sequoia vulnerability to hotter droughts, we reviewed historical records for evidence of previous foliage dieback events, surveyed dieback along trail corridors in eight sequoia groves, and analyzed tree-ring data from a high- and a low-foliage-dieback area. In sharp contrast to the greatly elevated mortality of other coniferous species found at low and middle elevations, we estimate that <1% of sequoias died during the drought. Foliage dieback was notably elevated in 2014 – the most severe single drought year in our 122-year record – but much lower in subsequent years. We found no historical records of similar foliage dieback during previous droughts. Dieback in 2014 was highly variable both within and among groves, ranging from virtually no dieback in some areas to nearly 50% in others. Dieback was highest (1) at low elevations, probably due to higher temperatures, reduced snowpack, and earlier snowmelt; (2) in areas of low adult sequoia densities, which likely reflect intrinsically more stressful sites; and (3) on steep slopes, probably reflecting reduced water availability. Average sequoia ring widths were narrower at the high-dieback than the low-dieback tree-ring site, but for reasons that remain unclear the sites did not differ in their proportional ring-width responses to past droughts. Collectively, our results suggest that giant sequoia vulnerability to hotter droughts may be spatially quite variable, and that at least some of that variability can be explained by metrics related to site water balance. Future research will focus on integrating our results with physiological and remote-sensing data, including tracking sequoias as they recover from the drought.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2017.10.053","usgsCitation":"Stephenson, N.L., Das, A.J., Ampersee, N.J., Cahill, K.G., Caprio, A.C., Sanders, J.E., and Williams, A.P., 2018, Patterns and correlates of giant sequoia foliage dieback during California’s 2012–2016 hotter drought: Forest Ecology and Management, v. 419-420, p. 268-278, https://doi.org/10.1016/j.foreco.2017.10.053.","productDescription":"11 p.","startPage":"268","endPage":"278","ipdsId":"IP-091079","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":438076,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7Z31XND","text":"USGS data release","linkHelpText":"Sequoia foliage dieback data from Sequoia National Park"},{"id":348555,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Kings Canyon National Park, Sequoia National Park","volume":"419-420","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a06c8c1e4b09af898c860b8","contributors":{"authors":[{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":721418,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Das, Adrian J. 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":196600,"corporation":false,"usgs":true,"family":"Das","given":"Adrian","email":"adas@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":721419,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ampersee, Nicholas J. 0000-0002-3950-3110 nampersee@usgs.gov","orcid":"https://orcid.org/0000-0002-3950-3110","contributorId":200203,"corporation":false,"usgs":true,"family":"Ampersee","given":"Nicholas","email":"nampersee@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":721420,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cahill, Kathleen G. kcahill@usgs.gov","contributorId":200204,"corporation":false,"usgs":true,"family":"Cahill","given":"Kathleen","email":"kcahill@usgs.gov","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":721421,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Caprio, Anthony C.","contributorId":200205,"corporation":false,"usgs":false,"family":"Caprio","given":"Anthony","email":"","middleInitial":"C.","affiliations":[{"id":34646,"text":"Sequoia and Kings Canyon National Parks, Three Rivers, CA","active":true,"usgs":false}],"preferred":false,"id":721422,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sanders, John E.","contributorId":200206,"corporation":false,"usgs":false,"family":"Sanders","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":13013,"text":"Department of Environmental Science, Policy and Management, University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":721423,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Williams, A. Park","contributorId":200207,"corporation":false,"usgs":false,"family":"Williams","given":"A.","email":"","middleInitial":"Park","affiliations":[{"id":27369,"text":"Lamont-Doherty Earth Observatory at Columbia University","active":true,"usgs":false}],"preferred":false,"id":721424,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70193930,"text":"70193930 - 2018 - Riparian bird density decline in response to biocontrol of Tamarix from riparian ecosystems along the Dolores River in SW Colorado, USA","interactions":[],"lastModifiedDate":"2021-08-12T14:50:01.696431","indexId":"70193930","displayToPublicDate":"2017-11-10T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Riparian bird density decline in response to biocontrol of Tamarix from riparian ecosystems along the Dolores River in SW Colorado, USA","title":"Riparian bird density decline in response to biocontrol of Tamarix from riparian ecosystems along the Dolores River in SW Colorado, USA","docAbstract":"Biocontrol of invasive tamarisk (Tamarix spp.) in the arid Southwest using the introduced tamarisk beetle (Diorhabda elongata) has been hypothesized to negatively affect some breeding bird species, but no studies to date have documented the effects of beetle-induced defoliation on riparian bird abundance. We assessed the effects of tamarisk defoliation by monitoring defoliation rates, changes in vegetation composition, and changes in density of six obligate riparian breeding bird species at two sites along the Dolores River in Colorado following the arrival of tamarisk beetles. We conducted bird point counts from 2010 to 2014 and modeled bird density as a function of native vegetation density and extent of defoliation using hierarchical distance sampling. Maximum annual defoliation decreased throughout the study period, peaking at 32–37% in 2009–2010 and dropping to 0.5–15% from 2011–2014. Stem density of both tamarisk and native plants declined throughout the study period until 2014. Density of all bird species declined throughout most of the study, with Song Sparrow disappearing from the study sites after 2011. Blue Grosbeak, Yellow-breasted Chat, and Yellow Warbler densities were negatively related to defoliation in the previous year, while Lazuli Bunting exhibited a positive relationship with defoliation. These findings corroborate earlier predictions of species expected to be sensitive to defoliation as a result of nest site selection. Tamarisk defoliation thus had short-term negative impacts on riparian bird species; active restoration may be needed to encourage the regrowth of native riparian vegetation, which in the longer-term may result in increased riparian bird density.
","language":"English","publisher":"Springer","doi":"10.1007/s10530-017-1569-z","usgsCitation":"Darrah, A., and van Riper, C., 2018, Riparian bird density decline in response to biocontrol of Tamarix from riparian ecosystems along the Dolores River in SW Colorado, USA: Biological Invasions, v. 20, no. 3, p. 709-720, https://doi.org/10.1007/s10530-017-1569-z.","productDescription":"12 p.","startPage":"709","endPage":"720","ipdsId":"IP-074375","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":348552,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Dolores River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.02145385742188,\n 37.85425428219824\n ],\n [\n -108.775634765625,\n 37.85425428219824\n ],\n [\n -108.775634765625,\n 38.26136726838286\n ],\n [\n -109.02145385742188,\n 38.26136726838286\n ],\n [\n -109.02145385742188,\n 37.85425428219824\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-12","publicationStatus":"PW","scienceBaseUri":"5a06c8bee4b09af898c860a9","contributors":{"authors":[{"text":"Darrah, Abigail J.","contributorId":187674,"corporation":false,"usgs":false,"family":"Darrah","given":"Abigail J.","affiliations":[{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false},{"id":35720,"text":"Audubon Mississippi, Coastal Bird Stewardship ProgramMoss PointUSA","active":true,"usgs":false}],"preferred":false,"id":721498,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Riper, Charles III 0000-0003-1084-5843 charles_van_riper@usgs.gov","orcid":"https://orcid.org/0000-0003-1084-5843","contributorId":169488,"corporation":false,"usgs":true,"family":"van Riper","given":"Charles","suffix":"III","email":"charles_van_riper@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":721497,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}