TGL-Lambda: An implementation of TrapGrid to estimate trap attractiveness from heterogeneous field data

Authors: Scalero, Benjamin; Manoukis, Nicholas

Submitted to: ArXiv
Publication Type: Pre-print Publication
Publication Acceptance Date: 8/13/2024
Publication Date: 8/13/2024
Citation: Scalero, B.R., Manoukis, N.C. 2024. TGL-Lambda: An implementation of TrapGrid to estimate trap attractiveness from heterogeneous field data. ArXiv. https://doi.org/10.48550/arXiv.2408.05408.
DOI: https://doi.org/10.48550/arXiv.2408.05408

Interpretive Summary: We present an implementation of a computer model to estimate the attractiveness of traps to insects. The resulting code is geared to researchers who might have results from "mark-release-recapture" experiments with multiple trap types in the same field simultaneously. By building on a previous approach, the software systematically tests hypotheses of combinations of attraction that might lead to the observed catch.

Technical Abstract: This paper describes a recently developed software called “TGL-Lambda” enables quantifying lure attractiveness under a variety of field capture scenarios including mixed lure/trap combinations. TGL-Lambda delivers a flexible approach to simultaneously estimating the ' value for multiple trap types, accommodating a common situation in “Mark-release-recapture” (MRR) experiments in the field. Specifically, where researchers release a known number of marked insects in a field and count how many are recaptured in two to five trap and lure types, and the trap and release locations are known, TGL-Lambda can be used to estimate the attractiveness (') of each of the trap types.