Invited paper
Advances in theory, data analysis, and application of the age-stage, two-sex life table for demographic research, biological control, and pest management
Chi, Hsin; Kavousi, Aurang; Gharekhani, Gholamhossein; Atlihan, Remzi; Salih Özgökçe, Mehmet; Güncan, Ali; Gökçe, Ayhan; Smith, Cecil L.; Benelli, Giovanni; Guedes, Raul Narciso C.; Amir-Maafi, Masood; Shirazi, Jalal; Taghizadeh, Roya; Maroufpoor, Mostafa; Xu, Yong-Yu; Zheng, Fang-Qiang; Ye, Bao-Hua; Chen, Zhen-Zhen; You, Min-Sheng; Fu, Jian-Wei; Li, Jian-Yu; Shi, Meng-Zhu; Hu, Zu-Qing; Zheng, Chang-Ying; Luo, Lan; Yuan, Zhong-Lin; Zang, Lian-Sheng; Chen, Yong-Ming; Tuan, Shu-Jen; Lin, Ya-Ying; Wang, Hai-Hong; Gotoh, Tetsuo; Shaef Ullah, Mohammad; Botto-Mahan, Carezza; De Bona, Sophie; Bussaman, Prapassorn; Gabre, Refaat M.; Saska, Pavel; Schneider, Marcela Inés; Ullah, Farman; Desneux, Nicolas
Entomologia Generalis Volume 43 Number 4 (2023), p. 705 - 732
published: Oct 10, 2023
published online: Oct 9, 2023
manuscript accepted: Jun 12, 2023
manuscript revision received: May 27, 2023
manuscript revision requested: May 24, 2023
manuscript received: Mar 6, 2023
DOI: 10.1127/entomologia/2023/2048
Open Access (paper may be downloaded free of charge)
Abstract
This paper reviews and introduces innovative research pertaining to the age-stage, two-sex life table. The main topics discussed are: (1) Analysis of data involving group-reared life table studies. We address the rationale behind the data analysis used when constructing a group-reared life table. Proper analysis of grouped-reared life table data enables the collection of realistic and applicable data for ecological studies, devising efficient mass-rearing programs and formulating pest management routines using time- and labor-saving group-rearing methods. (2) The bootstrap-match technique. This novel technique is applicable to those instances when constructing a complete life table involves collecting the immature independently from the adult data. (3) Application of the set theory in life table research. This procedure enables a mathematical description of the population structure and bootstrap samples. (4) Application of the multinomial theorem. Using the multinomial theorem enables calculation of the exact probability of bootstrap samples. (5) Inclusion of infertile bootstrap samples. Because it is impossible to calculate the intrinsic rates of increase for infertile samples, they are normally omitted in life table analysis. Inclusion of these infertile bootstrap samples produces an unbiased life table analysis. (6) The Cartesian product. The Cartesian product of two sets produces the complete coverage of all possible differences. We compared the paired bootstrap test, the Cartesian paired test based on bootstrap results, and the Cartesian paired test based on the multinomial theorem. (7) Integration of life table data with predation data. This procedure, which is especially relevant to biological control programs, enables a comprehensive study of the predator-prey relationship. (8) Computer simulation based on life tables. Population projection based on the age-stage, two-sex life table not only provides the means to predict the dynamics of stage structures of a given pest population, but also provides an insight into the dynamics of predation capacity of the predator population. (9) Problems in life table research. Each of the subjects discussed is crucial for the theoretical advancement and practical applications of scientific demographic research.
Keywords
group-reared life table • bootstrap-match technique • set theory • multinomial theorem • Cartesian paired test • computer simulation • predation • infertile bootstrap sample