TGL-Lambda: An implementation of TrapGrid to estimate trap attractiveness from heterogeneous field data
Year: 2024
Type: preprint
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 λ 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 (λ) of each of the trap types.
Source: arXiv (Cornell University)
Authors: Scalero, Ben, Manoukis, Nicholas C.
Language: English
Subfield: Insect Science
Domain: Life Sciences
Open Access status: green
Funder: U.S. Department of Agriculture
OpenAlex ID: W4402427782