All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Following the track: accuracy and reproducibility of predation assessment on artificial caterpillars

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60077344%3A_____%2F22%3A00559098" target="_blank" >RIV/60077344:_____/22:00559098 - isvavai.cz</a>

  • Alternative codes found

    RIV/60076658:12310/22:43904698

  • Result on the web

    <a href="https://onlinelibrary.wiley.com/doi/10.1111/eea.13210" target="_blank" >https://onlinelibrary.wiley.com/doi/10.1111/eea.13210</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1111/eea.13210" target="_blank" >10.1111/eea.13210</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Following the track: accuracy and reproducibility of predation assessment on artificial caterpillars

  • Original language description

    Experimental studies of biotic interactions in real field conditions are essential to understand the structure and functioning of ecological networks. The use of artificial caterpillars to mimic actual prey availability is generally seen as a standard approach to compare the activity and diversity of predators along environmental gradients. Yet, even with standardized material and procedures, biases may still affect data from multiple observers with different expertise. We used pictures of artificial caterpillars with or without various predation marks, in an online survey that was targeted for the participants of the project, to evaluate the reliability of predation marks identification made by non-scientists and by scientists with and without experience in predation mark identification. Pictures of artificial caterpillars displayed typical marks left by birds, mammals, and arthropods, as well as non-predation marks ('false positive'). In total 357 respondents scanned 7140 pictures of artificial caterpillars. Scientists were more confident and accurate in their observations than non-scientists, but the differences in correct identifications among scientists and non-scientists were low. Scientists with experience were also more accurate than scientists without experience, whereas there were no differences in self-confidence among scientists with and without experience. Accuracy in predation mark identification did not differ among types of predators, but respondents were more keen to identify marks left by birds or mammals than marks left by arthropods. Our results have practical implications for the design of multi-observer projects relying on artificial caterpillars as a proxy to assess predation intensity, in particular in the context of citizen science.

  • 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/GX19-28126X" target="_blank" >GX19-28126X: Testing mechanisms that maintain high species diversity in food webs by experimental manipulation of trophic cascades in a tropical rainforest</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Entomologia Experimentalis et Applicata

  • ISSN

    0013-8703

  • e-ISSN

    1570-7458

  • Volume of the periodical

    170

  • Issue of the periodical within the volume

    10

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    8

  • Pages from-to

    914-921

  • UT code for WoS article

    000819664300001

  • EID of the result in the Scopus database

    2-s2.0-85133174038