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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2408.05408 |
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| _version_ | 1866917746162270208 |
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| author | Scalero, Ben Manoukis, Nicholas C. |
| author_facet | Scalero, Ben Manoukis, Nicholas C. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_05408 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | TGL-Lambda: An implementation of TrapGrid to estimate trap attractiveness from heterogeneous field data Scalero, Ben Manoukis, Nicholas C. Populations and Evolution Quantitative Methods 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. |
| title | TGL-Lambda: An implementation of TrapGrid to estimate trap attractiveness from heterogeneous field data |
| topic | Populations and Evolution Quantitative Methods |
| url | https://arxiv.org/abs/2408.05408 |