Thomas K. Sabu, Raj T. Shiju
Journal of Insect Science 10 (98), 1-17, (1 July 2010) https://doi.org/10.1673/031.010.9801
KEYWORDS: forest floor arthropods, soil-litter arthropods, quantitative and qualitative sampling, Acariformes, Araneae, Blattaria, Chalcidae, Chilopoda, Coleoptera, Dermaptera, Diplopoda, Diptera, Formicidae, Hemiptera, Homoptera, Isopoda, Isoptera, larva, Lepidoptera, Mantoidea, Orthoptera, Hymenoptera, Parasitiformes, Phasmida, Pseudoscorpionida, Psocoptera, Thysanoptera
The present study provides data to decide on the most appropriate method for sampling of ground-dwelling arthropods measured in a moist-deciduous forest in the Western Ghats in South India. The abundance of ground-dwelling arthropods was compared among large numbers of samples obtained using pitfall trapping, Berlese and Winkler extraction methods. Highest abundance and frequency of most of the represented taxa indicated pitfall trapping as the ideal method for sampling of ground-dwelling arthropods. However, with possible bias towards surface-active taxa, pitfall-trapping data is inappropriate for quantitative studies, and Berlese extraction is the better alternative. Berlese extraction is the better method for quantitative measurements than the other two methods, whereas pitfall trapping would be appropriate for qualitative measurements. A comparison of the Berlese and Winkler extraction data shows that in a quantitative multigroup approach, Winkler extraction was inferior to Berlese extraction because the total number of arthropods caught was the lowest; and many of the taxa that were caught from an identical sample via Berlese extraction method were not caught. Significantly a greater frequency and higher abundance of arthropods belonging to Orthoptera, Blattaria, and Diptera occurred in pitfall-trapped samples and Psocoptera and Acariformes in Berlese-extracted samples than that were obtained in the other two methods, indicating that both methods are useful, one complementing the other, eliminating a chance for possible under-representation of taxa in quantitative studies.