Skip to main content
SpringerLink
Log in

Small-Scale Spatio-Temporal Distribution of Bactrocera minax (Enderlein) (Diptera: Tephritidae) Using Probability Kriging

  • Ecology, Behavior and Bionomics
  • Published:
Neotropical Entomology Aims and scope Submit manuscript

Abstract

Understanding spatio-temporal distribution of pest in orchards can provide important information that could be used to design monitoring schemes and establish better means for pest control. In this study, the spatial and temporal distribution of Bactrocera minax (Enderlein) (Diptera: Tephritidae) was assessed, and activity trends were evaluated by using probability kriging. Adults of B. minax were captured in two successive occurrences in a small-scale citrus orchard by using food bait traps, which were placed both inside and outside the orchard. The weekly spatial distribution of B. minax within the orchard and adjacent woods was examined using semivariogram parameters. The edge concentration was discovered during the most weeks in adult occurrence, and the population of the adults aggregated with high probability within a less-than-100-m-wide band on both of the sides of the orchard and the woods. The sequential probability kriged maps showed that the adults were estimated in the marginal zone with higher probability, especially in the early and peak stages. The feeding, ovipositing, and mating behaviors of B. minax are possible explanations for these spatio-temporal patterns. Therefore, spatial arrangement and distance to the forest edge of traps or spraying spot should be considered to enhance pest control on B. minax in small-scale orchards.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig 1
Fig 2
Fig 3
Fig 4
Fig 5

Similar content being viewed by others

References

  • Anderson C, Theraulaz G, Deneubourg JL (2002) Self-assemblages in insect societies. Insect Soc 49:99–110

    Article  Google Scholar 

  • Badel M, Angorani S, Shariat Panahi M (2011) The application of median indicator kriging and neural network in modeling mixed population in an iron ore deposit. Comput Geosci 37:530–540

    Article  CAS  Google Scholar 

  • Burrough PA (2001) GIS and geostatistics: essential partners for spatial analysis. Environ Ecol Stat 8:361–377

    Article  Google Scholar 

  • Carr JR (1994) Order relation correction experiments for probability kriging. Math Geol 26:605–621

    Article  Google Scholar 

  • Carr JR, Mao NH (1993) A general form of probability kriging for estimation of the indicator and uniform transforms. Math Geol 25:425–438

    Article  Google Scholar 

  • Chen SH (1940) Two new Dacinae from Szechuan. Sinensia 11:133–135

    Google Scholar 

  • Clarke AR, Powell KS, Weldon CW, Taylor PW (2011) The ecology of Bactrocera tryoni (Diptera: Tephritidae): what do we know to assist pest management? Ann Appl Biol 158:26–54

    Article  Google Scholar 

  • Cocu N, Harrington R, Hullé M, Rounsevell MDA (2005) Spatial autocorrelation as a tool for identifying the geographical patterns of aphid annual abundance. Agric For Entomol 7:31–43

    Article  Google Scholar 

  • Deutsch CV, Journel AG (1997) GSLIB: Geostatistical Software Library and user’s guide. Oxford University Press, New York

    Google Scholar 

  • Dminic I, Kozina A, Bazok R, Barcic JI (2010) Geographic information systems (GIS) and entomological research: a review. J Food Agric Environ 8:1193–1198

    Google Scholar 

  • Dorji C, Clarke AR, Drew RAI, Fletcher BS, Loday P, Mahat K, Raghu S, Romig MC (2006) Seasonal phenology of Bactrocera minax (Diptera: Tephritidae) in western Bhutan. Bull Entomol Res 96:531–538

    CAS  PubMed  Google Scholar 

  • Farias PRS, Roberto SR, Lopes JRS, Perecin D (2004) Geostatistical characterization of the spatial distribution of Xylella fastidiosa sharpshooter vectors on citrus. Neotrop Entomol 33:13–20

    Article  Google Scholar 

  • Garcia FJM (2006) Analysis of the spatio-temporal distribution of Helicoverpa armigera Hb. in a tomato field using a stochastic approach. Biosyst Eng 93:253–259

    Article  Google Scholar 

  • Guardiola-Albert C, Pardo-Igúzquiza E (2011) Compositional Bayesian indicator estimation. Stoch Env Res Risk A 25:835–849

    Article  Google Scholar 

  • Hortal J, Roura-Pascual N, Sanders NJ, Rahbek C (2010) Understanding (insect) species distributions across spatial scales. Ecography 33:51–53

    Article  Google Scholar 

  • Journal AG, Huijbregts CJ (2004) Mining geostatistics. The Blackburn Press, Caldwell

    Google Scholar 

  • Liebhold AM, Rossi RE, Kemp WP (1993) Geostatistics and geographic information systems in applied insect ecology. Annu Rev Entomol 38:303–327

    Article  Google Scholar 

  • Liebhold AM, Luzader E, Reardon R, Bullard A, Roberts A, Ravlin W, Delost S, Spears B (1996) Use of a geographic information system to evaluate regional treatment effects in a gypsy moth (Lepidoptera: Lymantriidae) management program. J Econ Entomol 89:1192–1203

    Article  Google Scholar 

  • Liquido NJ (1991) Fruit on the ground as a reservoir of resident melon fly (Diptera: Tephritidae) population in papaya orchards. Environ Entomol 20:620–625

    Article  Google Scholar 

  • Lu Z, Zhao Y, Jiang Z (2007) Mating and oviposition behavior of the Chinese citrus fly, Bactrocera (Tetracus) minax, in Sanxia gorge valley area. Chin Bull Entomol 44:277–279

    Google Scholar 

  • Matheron G (1963) Principles of geostatistics. Econ Geol 58:1246–1266

    Article  CAS  Google Scholar 

  • Nansen C, Weaver DK, Sing SE, Runyon JB, Morrill WL, Grieshop MJ, Shannon CL, Johnson ML (2005) Within-field spatial distribution of Cephus cinctus (Hymenoptera : Cephidae) larvae in Montana wheat fields. Can Entomol 137:202–214

    Article  Google Scholar 

  • Park YL, Perring TM, Yacoub R, Bartels DW, Elms D (2006) Spatial and temporal dynamics of overwintering Homalodisca coagulata (Hemiptera : Cicadellidae). J Econ Entomol 99:1936–1942

    Article  PubMed  Google Scholar 

  • Piñero JC, Mau RFL, McQuate GT, Vargas RI (2009) Novel bait stations for attract-and-kill of pestiferous fruit flies. Entomol Exp Appl 133:208–216

    Article  Google Scholar 

  • Sciarretta A, Trematerra P (2006) Geostatistical characterization of the spatial distribution of Grapholita molesta and Anarsia lineatella males in an agricultural landscape. J Appl Entomol 130:73–83

    Article  Google Scholar 

  • Verghese A (2004) Economic evaluation of the integrated management of the oriental fruit fly Bactrocera dorsalis (Diptera: Tephritidae) in mango in India. Crop Prot 23:61–63

    Article  Google Scholar 

  • Vijaysegaran S, Walter GH, Drew RAI (1997) Mouthpart structure, feeding mechanisms, and natural food sources of adult bactrocera (Diptera: Tephritidae). Ann Entomol Soc Am 90:184–201

    Article  Google Scholar 

  • Wang X, Zhang R (2009) Review on biology, ecology and control of Bactrocera (Tetradacus) minax Enderlein. J Environ Entomol 31:73–79

    Google Scholar 

  • Wang HS, Zhao CD, Li HX, Lou HZ, Liu QR, Kang W, Hu JG, Zhang HQ, Chu JM, Xia DR, Yang RX (1990) Control of Chinese citrus fly Dacus citri by male sterile technique. Acta Agric Nucl Sin 4:135–138

    Google Scholar 

  • Wright RJ, Devries TA, Young LJ, Jarvi KJ, Seymour RC (2002) Geostatistical analysis of the small-scale distribution of European corn borer (Lepidoptera: Crambidae) larvae and damage in whorl stage corn. Environ Entomol 31:160–167

    Article  Google Scholar 

  • Xie TB, Chen H, Lv ZZ (2006) Observation on the oviposition behavior of Bactrocera (Tetradacus) minax. Chin Bull Entomol 43:242–244

    Google Scholar 

  • Zhang HY, Li HY (2012) Photographic guide to key control techniques for citrus disease and insect pests. Beijing: Chinese Agricultural Press.

Download references

Acknowledgments

We highly acknowledge Li Tao and Xu Jin for the coordination of the survey, and special thanks go to Zuo Bo, Zhu Zhenwei, and Dun Wenfeng for the assistance with field work. We also thank the anonymous referees for the helpful comments to improve the manuscript. This study obtained financial support from the earmarked fund for the China Agricultural Research System (no. CARS-27), the Special Fund for Agro-scientific Research in the Public Interest (No. 200903047), and the Fundamental Research Funds for the Central Universities (Program No. 2011PY109).

Author information

Authors and Affiliations

  1. Institute of Urban and Horticultural Entomology, College of Plant Science and Technology, Huazhong Agricultural Univ, No.1 Shizhishan St., Wuhan, 430070, People’s Republic of China

    S Q Wang, H Y Zhang & Z L Li

Authors
  1. S Q Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. H Y Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Z L Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to H Y Zhang.

Additional information

Edited by Wesley AC Godoy – ESALQ/USP

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, S.Q., Zhang, H.Y. & Li, Z.L. Small-Scale Spatio-Temporal Distribution of Bactrocera minax (Enderlein) (Diptera: Tephritidae) Using Probability Kriging. Neotrop Entomol 45, 453–462 (2016). https://doi.org/10.1007/s13744-016-0384-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13744-016-0384-z

Keywords

Search

Navigation