Estimation of Ground Dwelling Arthropod Densities Using Pitfall Traps: Individual Based Simulations
Ecology and Evolutionary Biology
Volume 5, Issue 1, March 2020, Pages: 1-5
Received: Dec. 26, 2019; Accepted: Jan. 10, 2020; Published: Jan. 31, 2020
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Giorgi Chaladze, Institute of Ecology, Ilia State University, Tbilisi, Georgia
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Estimation of density of ground dwelling arthropods is important for pest monitoring, landscape restoration, biodiversity and conservation. Existing methods require high amount of time and labor. Considering recent catastrophic decline of invertebrates abundance less invasive methods should be developed. In current paper based on individual based simulations I suggest method for density estimation using pitfall traps. Method is based on “dig in effect”, when traps catch more individuals straight after installation then in following days. Simulation results demonstrated that density of abundant species can be estimated by proposed method with acceptable error range. Suggested method is best suitable for fast estimation of density of abundant species (>2 individuals/m2) or higher taxa, in a large homogeneous landscapes. It can be especially useful in biodiversity monitoring programs and for pest density estimation. Method is not suitable for a long term trapping or for estimation of density of low abundance species and surveying small or narrow habitats (ex. Littoral or riparian zone, edges of habitat). Method presented in current publication can be used for standardization of pitfall trapping and comparison of results from different habitats and periods. Method can be further improved by developing more easy and inexpensive ways of sampling and should be evaluated in the field.
Invertebrates, Density Estimation, Pest Management, Conservation, Pitfall Traps, Standard Design
To cite this article
Giorgi Chaladze, Estimation of Ground Dwelling Arthropod Densities Using Pitfall Traps: Individual Based Simulations, Ecology and Evolutionary Biology. Vol. 5, No. 1, 2020, pp. 1-5. doi: 10.11648/j.eeb.20200501.11
Copyright © 2020 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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