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Abundance, occurrence and time series: long-term monitoring of social insects in a tropical rainforest

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60077344%3A_____%2F23%3A00571011" target="_blank" >RIV/60077344:_____/23:00571011 - isvavai.cz</a>

  • Alternative codes found

    RIV/60076658:12310/23:43906502

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S1470160X23003850/pdfft?md5=a5728bc5d6d88406650045a57f9ecd56&pid=1-s2.0-S1470160X23003850-main.pdf" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1470160X23003850/pdfft?md5=a5728bc5d6d88406650045a57f9ecd56&pid=1-s2.0-S1470160X23003850-main.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.ecolind.2023.110243" target="_blank" >10.1016/j.ecolind.2023.110243</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Abundance, occurrence and time series: long-term monitoring of social insects in a tropical rainforest

  • Original language description

    The magnitude of worldwide insect decline is hotly debated, with multiple examples of stable or increasing insect populations. In addition, time series data for tropical insects are scarce, notably in rainforests where insect diversity is poorly known but reaches a peak. Despite social insects (ants, termites, bees and allies) being key organisms in these habitats, long-term monitoring data for these groups are crucially lacking. For many of these insects, the difficulty of locating nests in rainforests could be one reason. In this context, species occurrence in samples is often used as a surrogate for abundance to evaluate species distribution in space/time, but the loss of information is difficult to assess. In a tropical rainforest in Panama, we employed various sampling methods to examine the time series of seven insect assemblages with differing degrees of sociality: termite workers and soldiers, termite alates, bess beetles, litter ant workers, army ant alates, orchid bees, and nocturnal sweat bees. We used five community variables and six models related to occurrence and abundance, to test for significant trends in assemblages over a 13-year period (2009–2021). While assemblages of bess beetles increased, those of termite workers and soldiers, army ant alates, and orchid bees remained relatively stable. Termite alate, litter ant worker, and nocturnal bee assemblages showed signs of decline, demonstrating the need for monitoring distinct assemblages. Significant trends in generalized additive mixed models (GAMM) were observed in three out of five assemblages that could be tested. Our study indicates that trends in assemblages may be more informatively reported with abundance than with occurrence. We recommend (1) monitoring multiple insect assemblages as ecological indicators responsible for diverse ecosystem services, and (2) reporting species richness, changes in faunal composition, occurrence, and, when possible, using time-explicit analyses (such as GAMM models) for evaluating population trends over time.

  • 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

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Ecological Indicators

  • ISSN

    1470-160X

  • e-ISSN

    1872-7034

  • Volume of the periodical

    150

  • Issue of the periodical within the volume

    JUN 01

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    11

  • Pages from-to

    110243

  • UT code for WoS article

    000986100700001

  • EID of the result in the Scopus database

    2-s2.0-85152621857