Life tables data collection in entomology: an overview on the differential and the integral representation and proposal for a standard electronic file

Insect Science, Journal Year: 2025, Volume and Issue: unknown

Published: March 31, 2025

Abstract Life tables allow the exploration of insects’ and terrestrial arthropods’ biology, how they respond to external factors. Data collection process has been partially standardized, but presentation results mainly depends on purpose study. Two different data representations can be obtained from raw dataset: differential representation provides distribution stage‐development times, while integral number individuals into life stages, over time. The provide relevant biological information, lead a loss information with respect dataset. To date, conceptual explanation two data, their respective properties, is still missing; moreover, providing dataset as supporting published papers not customary. This paper highlights three main points: (i) are dataset; (ii) without it possible switch between representations, subsequent information; (iii) why there need for standard. further completed by an electronic file that could support sharing, automatically transform in representations. We believe this study first step toward more efficient diffusion among scientific community, maximizing efforts made scholars during experimental analysis process.

Language: Английский

Integration of temperature-driven population model and pest monitoring data to estimate initial conditions and timing of first field invasion: application to the cassava whitefly, Bemisia tabaci

Journal of The Royal Society Interface, Journal Year: 2025, Volume and Issue: 22(226)

Published: May 1, 2025

Empirical field data and simulation models are often used separately to monitor analyse the dynamics of insect pest populations over time. Greater insight may be achieved when directly parametrize population dynamic models. In this paper, we use a differential evolution algorithm integrate mechanistic physiological-based monitoring estimate density physiological age first cohort at start monitoring. We introduce an ad hoc temperature-driven life-cycle model Bemisia tabaci in conjunction with data. The likely date local whitefly invasion is estimated, subsequent improvement model’s predictive accuracy. method allows computation incursion by demonstrates that initial somewhat neglected prior studies can improve accuracy simulations. Given increasing availability describing terrestrial arthropods, integration prediction pioneer will lead better decision-making management.

Language: Английский