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Inter-annual monitoring improves diversity estimation of tropical butterfly assemblages

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F19%3A43899396" target="_blank" >RIV/60076658:12310/19:43899396 - isvavai.cz</a>

  • Alternative codes found

    RIV/60077344:_____/19:00506708

  • Result on the web

    <a href="https://onlinelibrary.wiley.com/doi/epdf/10.1111/btp.12671" target="_blank" >https://onlinelibrary.wiley.com/doi/epdf/10.1111/btp.12671</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1111/btp.12671" target="_blank" >10.1111/btp.12671</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Inter-annual monitoring improves diversity estimation of tropical butterfly assemblages

  • Original language description

    Monitoring programs for diverse tropical butterfly assemblages are scarce, and temporal diversity patterns in these assemblages are poorly understood. We adopted an additive partitioning approach to determine how temporal butterfly species richness was structured at the levels of days, months, and years in five tropical/subtropical sites across three continents covering up to 9 years of monitoring. We found that observed butterfly richness was not uniformly distributed across temporal extents. Butterfly species composition differed across months and years, potentially accounting for the fact that temporal butterfly species richness contributed a high proportion to total species richness. We further examined how species richness of common and uncommon species (&gt; and &lt;0.5% of total abundance, respectively) were structured across temporal extents. The results showed that the common species relative contribution to total species richness was higher at lower-temporal levels, whereas uncommon species contributed more at higher-temporal resolutions. This suggests that long-term sampling will be more effective in capturing patterns of rare species and the total species pool while lower-temporal level sampling (e.g., daily or weekly) may be more useful in examining common species demographic patterns. We therefore encourage careful consideration of temporal replication at different extents in developing butterfly monitoring schemes. Long-term monitoring is essential for improvement in the resolution of species estimation and diversity patterns for tropical ecosystems. in Chinese is available with online material.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10618 - Ecology

Result continuities

  • Project

    <a href="/en/project/GB14-36098G" target="_blank" >GB14-36098G: Center for tropical biology</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Biotropica

  • ISSN

    0006-3606

  • e-ISSN

  • Volume of the periodical

    51

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    10

  • Pages from-to

    519-528

  • UT code for WoS article

    000474057600001

  • EID of the result in the Scopus database

    2-s2.0-85068393597