Article (Scientific journals)
Life tables data collection in entomology: an overview on the differential and the integral representation and proposal for a standard electronic file.
Rossini, Luca; Lots, Arthur; Noël, Grégoire et al.
2025In Insect Science
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Keywords :
laboratory rearing; open data; parameter estimation; quantitative entomology; standard data collection
Abstract :
[en] Life tables allow the exploration of insects' and terrestrial arthropods' biology, and how they respond to external factors. Data collection process has been partially standardized, but the presentation of results mainly depends on the purpose of the study. Two different data representations can be obtained from the raw dataset: the differential representation provides the distribution of the stage-development times, while the integral representation provides the number of individuals into the different life stages, over time. The representations provide relevant biological information, but they lead to a loss of information with respect to the raw dataset. To date, a conceptual explanation of how the two representations can be obtained from the raw data, and of their respective properties, is still missing; moreover, providing the raw dataset as supporting information of the published papers is still not customary. This paper highlights three main points: (i) how the two representations are obtained from life tables raw dataset; (ii) without raw data, it is not possible to switch between the two representations, with a subsequent loss of information; and (iii) why there is the need for a data collection standard. The conceptual explanation is further completed by an electronic file that could support data collection and sharing, and that automatically transform the data in the two representations. We believe that this study is a first step toward a more efficient diffusion of the information among the scientific community, maximizing the efforts made by scholars during the experimental and data analysis process.
Disciplines :
Zoology
Author, co-author :
Rossini, Luca ;  Service d'Automatique et d'Analyse des Systèmes, Université Libre de Bruxelles, Brussels, Belgium
Lots, Arthur;  Service d'Automatique et d'Analyse des Systèmes, Université Libre de Bruxelles, Brussels, Belgium
Noël, Grégoire  ;  Université de Liège - ULiège > Département GxABT > Gestion durable des bio-agresseurs
Segers, Arnaud  ;  Université de Liège - ULiège > Département GxABT > Microbial technologies
Mermer, Serhan;  Department of Environmental and Molecular Toxicology, Oregon State University, Corvallis, Oregon, USA ; Department of Horticulture, Oregon State University, Corvallis, Oregon, USA
Contarini, Mario;  Dipartimento di Scienze Agrarie e Forestali, Università degli Studi della Tuscia, Viterbo, Italy
Speranza, Stefano;  Dipartimento di Scienze Agrarie e Forestali, Università degli Studi della Tuscia, Viterbo, Italy ; Centro de Estudios Parasitológicos y de Vectores (CEPAVE, CONICET-UNLP), La Plata, Argentina
Walton, Vaughn;  Department of Environmental and Molecular Toxicology, Oregon State University, Corvallis, Oregon, USA
Francis, Frédéric  ;  Université de Liège - ULiège > TERRA Research Centre > Gestion durable des bio-agresseurs
Garone, Emanuele;  Service d'Automatique et d'Analyse des Systèmes, Université Libre de Bruxelles, Brussels, Belgium
Language :
English
Title :
Life tables data collection in entomology: an overview on the differential and the integral representation and proposal for a standard electronic file.
Publication date :
31 March 2025
Journal title :
Insect Science
ISSN :
1672-9609
eISSN :
1744-7917
Publisher :
John Wiley and Sons Inc, Australia
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
EC - European Commission
Funding text :
The authors are grateful to the anonymous reviewers for their comments and suggestions, which have been greatly helpful in improving this manuscript. L.R. is funded by the European Commission under the Marie Sklodowska Curie Actions Postdoctoral Fellowship (MSCA\u2010PF\u20102022) project \u201CPestFinder\u201D Grant n. 101102281.
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