• Login
    View Item 
    •   Home
    • Science
    • Life sciences
    • View Item
    •   Home
    • Science
    • Life sciences
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of The Natural History Museum repositoryCommunitiesTitleAuthorsIssue dateAvailable dateSubjectsTypesJournalPublisherThis CollectionTitleAuthorsIssue dateAvailable dateSubjectsTypesJournalPublisher

    My Account

    Login

    About

    AboutOur scienceDepartments and staffCollectionsLibrary and ArchivesContact usCreative Commons Attribution 2.0 LicenseGetting Started

    Statistics

    Display statistics

    How climatic variability is linked to the spatial distribution of range sizes: seasonality versus climate change velocity in sphingid moths

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    Gruenig_etal_JBI_R3.pdf
    Size:
    407.2Kb
    Format:
    PDF
    Description:
    Accepted Version
    Download
    Average rating
     
       votes
    Cast your vote
    You can rate an item by clicking the amount of stars they wish to award to this item. When enough users have cast their vote on this item, the average rating will also be shown.
    Star rating
     
    Your vote was cast
    Thank you for your feedback
    Authors
    Grünig, Marc
    Beerli, Nicolas
    Ballesteros-Mejia, Liliana
    Kitching, I cc
    Beck, Jan
    Issue date
    2017-11
    Submitted date
    2017-11
    Subject Terms
    climate change velocity
    Old World
    range size
    Rapoport effect
    seasonality
    sphingid moths
    
    Metadata
    Show full item record
    Abstract
    Aim: To map the spatial variation of range sizes within sphingid moths, and to test hypotheses on its environmental control. In particular, we investigate effects of climate change velocity since the Pleistocene and the mid-Holocene, temperature and precipitation seasonality, topography, Pleistocene ice cover, and available land area. Location: Old World and Australasia, excluding smaller islands. Methods: We used fine-grained range maps (based on expert-edited distribution modelling) for all 972 sphingid moth species in the research region and calculated, at a grain size of 100 km, the median of range sizes of all species that co-occur in a pixel. Climate, topography and Pleistocene ice cover data were taken from publicly available sources. We calculated climate change velocities (CCV) for the last 21ky as well as 6ky. We compared the effects of seasonality and CCV on median range sizes with spatially explicit models while accounting for effects of elevation range, glaciation history and available land area. Results: Range sizes show a clear spatial pattern, with highest median values in deserts and arctic regions and lowest values in isolated tropical regions. Range sizes were only weakly related to absolute latitude (predicted by Rapoport’s effect), but there was a strong north-south pattern of range size decline. Temperature seasonality emerged as the strongest environmental correlate of median range size, in univariate as well as multivariate models, whereas effects of CCV were weak and unstable for both time periods. These results were robust to variations in the parameters in alternative analyses, among them multivariate CCV. Main conclusions: Temperature seasonality is a strong correlate of spatial range size variation, while effects of longer-term temperature change, as captured by CCV, received much weaker support.
    Citation
    Grünig, M, Beerli, N, Ballesteros-Mejia, L, Kitching, IJ, Beck, J. How climatic variability is linked to the spatial distribution of range sizes: Seasonality versus climate change velocity in sphingid moths. J Biogeogr. 2017; 44: 2441– 2450. https://doi.org/10.1111/jbi.13051
    Publisher
    Wiley
    Journal
    Journal of Biogeography
    URI
    http://hdl.handle.net/10141/622953
    DOI
    10.1111/jbi.13051
    Type
    Journal Article
    Item Description
    The attached document is the author(’s’) final accepted/submitted version of the journal article. You are advised to consult the publisher’s version if you wish to cite from it
    ISSN
    0305-0270
    ae974a485f413a2113503eed53cd6c53
    10.1111/jbi.13051
    Scopus Count
    Collections
    Life sciences

    entitlement

     

    DSpace software (copyright © 2002 - 2022)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export button (to the right?) will allow you to export the search results of the entered query to a CSV file. To export the items, click the "Export" button.

    There are two options to select the items you want to export to a CSV. Either you export all results from a search query, or you select a subset of items from the search results.

    To select a subset of the search results, click "Selective Export" in the Export menu.

    After making a selection, click the 'CSV' button. The amount of items that will be exported is indicated in the bubble next to 'CSV'.

    The amount of items you can export is limited, but authenticating will increase this limit.