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  1. Article ; Online: A weather surveillance radar view of Alaskan avian migration.

    Sivakumar, Ashwin H / Sheldon, Daniel / Winner, Kevin / Burt, Carolyn S / Horton, Kyle G

    Proceedings. Biological sciences

    2021  Volume 288, Issue 1950, Page(s) 20210232

    Abstract: Monitoring avian migration within subarctic regions of the globe poses logistical challenges. Populations in these regions often encounter the most rapid effects of changing climates, and these seasonally productive areas are especially important in ... ...

    Abstract Monitoring avian migration within subarctic regions of the globe poses logistical challenges. Populations in these regions often encounter the most rapid effects of changing climates, and these seasonally productive areas are especially important in supporting bird populations-emphasizing the need for monitoring tools and strategies. To this end, we leverage the untapped potential of weather surveillance radar data to quantify active migration through the airspaces of Alaska. We use over 400 000 NEXRAD radar scans from seven stations across the state between 1995 and 2018 (86% of samples derived from 2013 to 2018) to measure spring and autumn migration intensity, phenology and directionality. A large bow-shaped terrestrial migratory system spanning the southern two-thirds of the state was identified, with birds generally moving along a northwest-southeast diagonal axis east of the 150th meridian, and along a northeast-southwest axis west of this meridian. Spring peak migration ranged from 3 May to 30 May and between, 18 August and 12 September during the autumn, with timing across stations predicted by longitude, rather than latitude. Across all stations, the intensity of migration was greatest during the autumn as compared to spring, highlighting the opportunity to measure seasonal indices of net breeding productivity for this important system as additional years of radar measurements are amassed.
    MeSH term(s) Alaska ; Animal Migration ; Animals ; Birds ; Radar ; Seasons ; Weather
    Language English
    Publishing date 2021-05-05
    Publishing country England
    Document type Journal Article ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 209242-6
    ISSN 1471-2954 ; 0080-4649 ; 0962-8452 ; 0950-1193
    ISSN (online) 1471-2954
    ISSN 0080-4649 ; 0962-8452 ; 0950-1193
    DOI 10.1098/rspb.2021.0232
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Global and national trends, gaps, and opportunities in documenting and monitoring species distributions.

    Oliver, Ruth Y / Meyer, Carsten / Ranipeta, Ajay / Winner, Kevin / Jetz, Walter

    PLoS biology

    2021  Volume 19, Issue 8, Page(s) e3001336

    Abstract: Conserving and managing biodiversity in the face of ongoing global change requires sufficient evidence to assess status and trends of species distributions. Here, we propose novel indicators of biodiversity data coverage and sampling effectiveness and ... ...

    Abstract Conserving and managing biodiversity in the face of ongoing global change requires sufficient evidence to assess status and trends of species distributions. Here, we propose novel indicators of biodiversity data coverage and sampling effectiveness and analyze national trajectories in closing spatiotemporal knowledge gaps for terrestrial vertebrates (1950 to 2019). Despite a rapid rise in data coverage, particularly in the last 2 decades, strong geographic and taxonomic biases persist. For some taxa and regions, a tremendous growth in records failed to directly translate into newfound knowledge due to a sharp decline in sampling effectiveness. However, we found that a nation's coverage was stronger for species for which it holds greater stewardship. As countries under the post-2020 Global Biodiversity Framework renew their commitments to an improved, rigorous biodiversity knowledge base, our findings highlight opportunities for international collaboration to close critical information gaps.
    MeSH term(s) Animal Distribution ; Animals ; Artiodactyla ; Biodiversity ; Conservation of Natural Resources ; Ecology/methods ; Ecology/standards ; Ecology/trends ; Internationality ; Panthera
    Language English
    Publishing date 2021-08-12
    Publishing country United States
    Document type Comparative Study ; Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 2126776-5
    ISSN 1545-7885 ; 1544-9173
    ISSN (online) 1545-7885
    ISSN 1544-9173
    DOI 10.1371/journal.pbio.3001336
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Species distribution models affected by positional uncertainty in species occurrences can still be ecologically interpretable

    Gábor, Lukáš / Jetz, Walter / Zarzo‐Arias, Alejandra / Winner, Kevin / Yanco, Scott / Pinkert, Stefan / Marsh, Charles J. / Rogan, Matthew S. / Mäkinen, Jussi / Rocchini, Duccio / Barták, Vojtěch / Malavasi, Marco / Balej, Petr / Moudrý, Vítězslav

    Ecography. 2023 June, v. 2023, no. 6 p.e06358-

    2023  

    Abstract: Species distribution models (SDMs) have become a common tool in studies of species–environment relationships but can be negatively affected by positional uncertainty of underlying species occurrence data. Previous work has documented the effect of ... ...

    Abstract Species distribution models (SDMs) have become a common tool in studies of species–environment relationships but can be negatively affected by positional uncertainty of underlying species occurrence data. Previous work has documented the effect of positional uncertainty on model predictive performance, but its consequences for inference about species–environment relationships remain largely unknown. Here we use over 12 000 combinations of virtual and real environmental variables and virtual species, as well as a real case study, to investigate how accurately SDMs can recover species–environment relationships after applying known positional errors to species occurrence data. We explored a range of environmental predictors with various spatial heterogeneity, species' niche widths, sample sizes and magnitudes of positional error. Positional uncertainty decreased predictive model performance for all modeled scenarios. The absolute and relative importance of environmental predictors and the shape of species–environmental relationships co‐varied with a level of positional uncertainty. These differences were much weaker than those observed for overall model performance, especially for homogenous predictor variables. This suggests that, at least for the example species and conditions analyzed, the negative consequences of positional uncertainty on model performance did not extend as strongly to the ecological interpretability of the models. Although the findings are encouraging for practitioners using SDMs to reveal generative mechanisms based on spatially uncertain data, they suggest greater consequences for applications utilizing distributions predicted from SDMs using positionally uncertain data, such as conservation prioritization and biodiversity monitoring.
    Keywords biodiversity ; case studies ; geographical distribution ; model validation ; prioritization ; spatial variation ; uncertainty
    Language English
    Dates of publication 2023-06
    Publishing place Blackwell Publishing Ltd
    Document type Article ; Online
    Note JOURNAL ARTICLE
    ZDB-ID 1112659-0
    ISSN 0906-7590
    ISSN 0906-7590
    DOI 10.1111/ecog.06358
    Database NAL-Catalogue (AGRICOLA)

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  4. Article ; Online: Migratory flight on the Pacific Flyway: strategies and tendencies of wind drift compensation.

    Newcombe, Patrick B / Nilsson, Cecilia / Lin, Tsung-Yu / Winner, Kevin / Bernstein, Garrett / Maji, Subhransu / Sheldon, Daniel / Farnsworth, Andrew / Horton, Kyle G

    Biology letters

    2019  Volume 15, Issue 9, Page(s) 20190383

    Abstract: Applications of remote sensing data to monitor bird migration usher a new understanding of magnitude and extent of movements across entire flyways. Millions of birds move through the western USA, yet this region is understudied as a migratory corridor. ... ...

    Abstract Applications of remote sensing data to monitor bird migration usher a new understanding of magnitude and extent of movements across entire flyways. Millions of birds move through the western USA, yet this region is understudied as a migratory corridor. Characterizing movements in the Pacific Flyway offers a unique opportunity to study complementary patterns to those recently highlighted in the Atlantic and Central Flyways. We use weather surveillance radar data from spring and autumn (1995-2018) to examine migrants' behaviours in relation to winds in the Pacific Flyway. Overall, spring migrants tended to drift on winds, but less so at northern latitudes and farther inland from the Pacific coastline. Relationships between winds and autumn flight behaviours were less striking, with no latitudinal or coastal dependencies. Differences in the preferred direction of movement (PDM) and wind direction predicted drift patterns during spring and autumn, with increased drift when wind direction and PDM differences were high. We also observed greater total flight activity through the Pacific Flyway during the spring when compared with the autumn. Such complex relationships among birds' flight strategies, winds and seasonality highlight the variation within a migration system. Characterizations at these scales complement our understanding of strategies to clarify aerial animal movements.
    MeSH term(s) Animal Migration ; Animals ; Birds ; Flight, Animal ; Radar ; Seasons ; Wind
    Language English
    Publishing date 2019-09-18
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 2135022-X
    ISSN 1744-957X ; 1744-9561
    ISSN (online) 1744-957X
    ISSN 1744-9561
    DOI 10.1098/rsbl.2019.0383
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: A characterization of autumn nocturnal migration detected by weather surveillance radars in the northeastern USA.

    Farnsworth, Andrew / Van DOREN, Benjamin M / Hochachka, Wesley M / Sheldon, Daniel / Winner, Kevin / Irvine, Jed / Geevarghese, Jeffrey / Kelling, Steve

    Ecological applications : a publication of the Ecological Society of America

    2016  Volume 26, Issue 3, Page(s) 752–770

    Abstract: Billions of birds migrate at night over North America each year. However, few studies have described the phenology of these movements, such as magnitudes, directions, and speeds, for more than one migration season and at regional scales. In this study, ... ...

    Abstract Billions of birds migrate at night over North America each year. However, few studies have described the phenology of these movements, such as magnitudes, directions, and speeds, for more than one migration season and at regional scales. In this study, we characterize density, direction, and speed of nocturnally migrating birds using data from 13 weather surveillance radars in the autumns of 2010 and 2011 in the northeastern USA. After screening radar data to remove precipitation, we applied a recently developed algorithm for characterizing velocity profiles with previously developed methods to document bird migration. Many hourly radar scans contained windborne "contamination," and these scans also exhibited generally low overall reflectivities. Hourly scans dominated by birds showed nightly and seasonal patterns that differed markedly from those of low reflectivity scans. Bird migration occurred during many nights, but a smaller number of nights with large movements of birds defined regional nocturnal migration. Densities varied by date, time, and location but peaked in the second and third deciles of night during the autumn period when the most birds were migrating. Migration track (the direction to which birds moved) shifted within nights from south-southwesterly to southwesterly during the seasonal migration peaks; this shift was not consistent with a similar shift in wind direction. Migration speeds varied within nights, although not closely with wind speed. Airspeeds increased during the night; groundspeeds were highest between the second and third deciles of night, when the greatest density of birds was migrating. Airspeeds and groundspeeds increased during the fall season, although groundspeeds fluctuated considerably with prevailing winds. Significant positive correlations characterized relationships among bird densities at southern coastal radar stations and northern inland radar stations. The quantitative descriptions of broadscale nocturnal migration patterns presented here will be essential for biological and conservation applications. These descriptions help to define migration phenology in time and space, fill knowledge gaps in avian annual cycles, and are useful for monitoring long-term population trends of migrants. Furthermore, these descriptions will aid in assessing potential risks to migrants, particularly from structures with which birds collide and artificial lighting that disorients migrants.
    MeSH term(s) Altitude ; Animal Migration ; Animals ; Birds/physiology ; Circadian Rhythm ; Environmental Monitoring ; New England ; Population Density ; Radar ; Seasons ; Weather ; Wind
    Language English
    Publishing date 2016-06-01
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 1074505-1
    ISSN 1939-5582 ; 1051-0761
    ISSN (online) 1939-5582
    ISSN 1051-0761
    DOI 10.1890/15-0023
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online ; Research data: (with research data) Migration timing and its determinants for nocturnal migratory birds during autumn migration.

    La Sorte, Frank A / Hochachka, Wesley M / Farnsworth, Andrew / Sheldon, Daniel / Fink, Daniel / Geevarghese, Jeffrey / Winner, Kevin / Van Doren, Benjamin M / Kelling, Steve

    The Journal of animal ecology

    2015  Volume 84, Issue 5, Page(s) 1202–1212

    Abstract: 1. Migration is a common strategy used by birds that breed in seasonal environments, and multiple environmental and biological factors determine the timing of migration. How these factors operate in combination during autumn migration, which is ... ...

    Abstract 1. Migration is a common strategy used by birds that breed in seasonal environments, and multiple environmental and biological factors determine the timing of migration. How these factors operate in combination during autumn migration, which is considered to be under weaker time constraints relative to spring migration, is not clear. 2. Here, we examine the patterns and determinants of migration timing for nocturnal migrants during autumn migration in the north-eastern USA using nocturnal reflectivity data from 12 weather surveillance radar stations and modelled diurnal probability of occurrence for 142 species of nocturnal migrants. We first model the capacity of seasonal atmospheric conditions (wind and precipitation) and ecological productivity (vegetation greenness) to predict autumn migration intensity. We then test predictions, formulated under optimal migration theory, on how migration timing should be related to assemblage-level estimates of body size and total migration distance within the context of dietary guild (insectivore and omnivore) and level of dietary plasticity during autumn migration. 3. Our results indicate seasonal declines in ecological productivity delineate the beginning and end of peak migration, whose intensity is best predicted by the velocity of winds at migration altitudes. Insectivorous migrants departed earlier in the season and, consistent with our predictions, large-bodied and long-distance insectivorous migrants departed the earliest. Contrary to our predictions, large-bodied and some long-distance omnivorous migrants departed later in the season, patterns that were replicated in part by insectivorous migrants that displayed dietary plasticity during autumn migration. 4. Our findings indicate migration timing in the region is dictated by optimality strategies, modified based on the breadth and flexibility of migrant's foraging diets, with declining ecological productivity defining possible resource thresholds during which migration occurs when winds at migration altitudes are mild. These observations provide the basis to assess how avian migration strategies may be affected by adjustments in seasonal patterns of atmospheric circulation and ecological productivity that may occur under global climate change.
    MeSH term(s) Animal Migration ; Animals ; Atmosphere ; Birds/physiology ; Diet ; Ecosystem ; Mid-Atlantic Region ; New England ; Virginia
    Language English
    Publishing date 2015-09
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 3024-7
    ISSN 1365-2656 ; 0021-8790 ; 0021-8790
    ISSN (online) 1365-2656
    ISSN 0021-8790
    DOI 10.1111/1365-2656.12376
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Migration timing and its determinants for nocturnal migratory birds during autumn migration

    La Sorte, Frank A. / Hochachka, Wesley M. / Farnsworth, Andrew / Sheldon, Daniel / Fink, Daniel / Geevarghese, Jeffrey / Winner, Kevin / Van Doren, Benjamin M. / Kelling, Steve / Chapman, Jason

    journal of animal ecology

    Volume v. 84,, Issue no. 5

    Abstract: Migration is a common strategy used by birds that breed in seasonal environments, and multiple environmental and biological factors determine the timing of migration. How these factors operate in combination during autumn migration, which is considered ... ...

    Abstract Migration is a common strategy used by birds that breed in seasonal environments, and multiple environmental and biological factors determine the timing of migration. How these factors operate in combination during autumn migration, which is considered to be under weaker time constraints relative to spring migration, is not clear. Here, we examine the patterns and determinants of migration timing for nocturnal migrants during autumn migration in the north‐eastern USA using nocturnal reflectivity data from 12 weather surveillance radar stations and modelled diurnal probability of occurrence for 142 species of nocturnal migrants. We first model the capacity of seasonal atmospheric conditions (wind and precipitation) and ecological productivity (vegetation greenness) to predict autumn migration intensity. We then test predictions, formulated under optimal migration theory, on how migration timing should be related to assemblage‐level estimates of body size and total migration distance within the context of dietary guild (insectivore and omnivore) and level of dietary plasticity during autumn migration. Our results indicate seasonal declines in ecological productivity delineate the beginning and end of peak migration, whose intensity is best predicted by the velocity of winds at migration altitudes. Insectivorous migrants departed earlier in the season and, consistent with our predictions, large‐bodied and long‐distance insectivorous migrants departed the earliest. Contrary to our predictions, large‐bodied and some long‐distance omnivorous migrants departed later in the season, patterns that were replicated in part by insectivorous migrants that displayed dietary plasticity during autumn migration. Our findings indicate migration timing in the region is dictated by optimality strategies, modified based on the breadth and flexibility of migrant's foraging diets, with declining ecological productivity defining possible resource thresholds during which migration occurs when winds at migration altitudes are mild. These observations provide the basis to assess how avian migration strategies may be affected by adjustments in seasonal patterns of atmospheric circulation and ecological productivity that may occur under global climate change.
    Keywords wind ; monitoring ; seasonal variation ; diet ; altitude ; omnivores ; prediction ; radar ; body size ; vegetation ; birds ; climate change ; atmospheric circulation ; migratory behavior ; autumn ; foraging ; probability ; insectivores
    Language English
    Document type Article
    ISSN 0021-8790
    Database AGRIS - International Information System for the Agricultural Sciences and Technology

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