文献类型： 外文期刊

作者： Chi, Hsin ¹ ; Kavousi, Aurang ⁴ ; Gharekhani, Gholamhossein ⁵ ; Atlihan, Remzi ⁶ ; Ozgokce, Mehmet Salih ⁶ ; Guncan, Ali ⁷ ; Gokce, Ayhan ⁸ ; Smith, Cecil L. ⁹ ; Benelli, Giovanni ¹⁰ ; Guedes, Raul Narciso C. ¹¹ ; Amir-Maafi, Masood ¹² ; Shirazi, Jalal ¹² ; Taghizadeh, Roya ¹³ ; Maroufpoor, Mostafa ¹⁴ ; Xu, Yong-Yu ¹ ; Zheng, Fang-Qiang ¹ ; Ye, Bao-Hua ¹ ; Chen, Zhen-Zhen ¹ ; You, Min-Sheng ² ; Fu, Jian-Wei ³ ; Li, Jian-Yu ¹⁵ ; Shi, Meng-Zhu ³ ; Hu, Zu-Qing ¹⁶ ; Zheng, Chang-Ying ¹⁷ ; Luo, Lan ¹⁷ ; Yuan, Zhong-Lin ¹⁷ ; Zang, Lian-Sheng ¹⁸ ; Chen, Yong-Ming ¹⁸ ; Tuan, Shu-Jen ¹⁹ ; Lin, Ya-Ying ¹⁹ ; Wang, Hai-Hong ²⁰ ; Gotoh, Tetsuo ²¹ ; Ullah, Mohammad Shaef ²² ; Botto-Mahan, Carezza ²³ ; De Bona, Sophie ²³ ; Bussaman, Prapassorn ²⁴ ; Gabre, Refaat M. ²⁵ ; Saska, Pavel ²⁶ ; Schneider, Marcela Ines ²⁷ ; Ullah, Farman ²⁸ ; Desneux, Nicolas ²⁹ ;

作者机构： 1.Shandong Agr Univ, Coll Plant Protect, Tai An 271018, Shandong, Peoples R China

2.Fujian Agr & Forestry Univ, Inst Appl Ecol, State Key Lab Ecol Pest Control Fujian & Taiwan Cr, Fuzhou 350002, Peoples R China

3.Fujian Acad Agr Sci, Inst Qual Stand Testing Technol Agroprod, Fuzhou 350003, Peoples R China

4.Univ Zanjan, Dept Plant Protect, Zanjan 4537138791, Iran

5.Univ Maragheh, Fac Agr, Dept Plant Protect, Maragheh, Iran

6.Van Yuzuncu Yil Univ, Fac Agr, Dept Plant Protect, TR-65080 Van, Turkiye

7.Ordu Univ, Fac Agr, Dept Plant Protect, TR-52200 Ordu, Turkiye

8.Nigde Omer Halisdemir Univ, Fac Agr Sci & Technol, Dept Plant Prod & Technol, TR-51240 Nigde, Turkiye

9.Univ Georgia Athens, Georgia Museum Nat Hist, Arthropod Collect, Athens, GA 30602 USA

10.Univ Pisa, Dept Agr Food & Environm, Via Borghetto 80, I-56124 Pisa, Italy

11.Univ Fed Vicosa, Dept Entomol, BR-36570900 Vicosa, MG, Brazil

12.Agr Res Educ & Extens Org AREEO, Iranian Res Inst Plant Protect, Tehran, Iran

13.Urmia Univ, Shahid Bakeri High Educ Ctr Miandoab, Orumiyeh, Iran

14.Univ Kurdistan, Agr Fac, Dept Plant Protect, POB 66177-15175, Sanandaj, Iran

15.Fujian Acad Agr Sci, Inst Plant Protect, Fuzhou 350013, Peoples R China

16.Northwest A&F Univ, Coll Plant Protect, Yangling 712100, Shaanxi, Peoples R China

17.Qingdao Agr Univ, Coll Plant Hlth & Med, Qingdao 266109, Peoples R China

18.Guizhou Univ, Natl Key Lab Green Pesticide, Guiyang 550025, Peoples R China

19.Natl Chung Hsing Univ, Dept Entomol, Taichung, Taiwan

20.Chinese Acad Agr Sci, Inst Plant Protect, Beijing 100193, Peoples R China

21.Ryutsu Keizai Univ, Fac Econ, Ryugasaki, Ibaraki 3018555, Japan

22.Bangladesh Agr Univ, Dept Entomol, Mymensingh 2202, Bangladesh

23.Univ Chile, Fac Sci, Dept Ecol Sci, POB 653, Santiago, Chile

24.Mahasarakham Univ, Fac Technol, Dept Biotechnol, Biol Control Res Unit, Maha Sarakham 44150, Thailand

25.Cairo Univ, Fac Sci, Dept Biotechnol, Giza, Egypt

26.Crop Res Inst, Grp Funct Divers Invertebrates & Plants Agroecosys, Drnovska 507, Prague 6, Ruzyne, Czech Republic

27.CONICET LA PLATA UNLP CIC PBA, Ctr Estudios Parasitol & Vectores CEPAVE, Lab Ecotoxicol Plaguicidas & Control Biol, La Plata, Buenos Aires, Argentina

28.China Agr Univ, Coll Plant Protect, Dept Plant Biosecur, Beijing 100193, Peoples R China

29.Univ Cote Azur, INRAE, CNRS, UMR ISA, F-06000 Nice, France

关键词： group-reared life table; bootstrap-match technique; set theory; multinomial theorem; Cartesian paired test; computer simulation; predation; infertile bootstrap sample

期刊名称：ENTOMOLOGIA GENERALIS （ 影响因子：6.9； 五年影响因子：5.2 ）

ISSN： 0171-8177

年卷期： 2023 年 43 卷 4 期

页码：

收录情况： SCI

摘要： 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.