Surrounding landscape influences the abundance of insect predators in rice field

M. P. Ali1, M. M. M. Kabir1, Sheikh Shamiul Haque1, S. Afrin1, Nur Ahmed1, Barry R. Pittendrigh2, Xinghu Qin3
1Entomology Division, Bangladesh Rice Research Institute, Gazipur, Bangladesh
2Department of Entomology, Michigan State University, East Lansing, USA
3State Key Laboratory for Biology of Plant Diseases and Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, People’s Republic of China

Tóm tắt

Abstract Background Natural enemy abundance in a crop plot depends on its prey presence and also influenced by habitats close to field. Landscape changes are also important factors driving pest and natural enemy population abundance in a specific crop field. Examining these kinds of effects on insect pests or biocontrol agents, as well as analysis of their functional food webs, would be asset to make a fruitful pest management programme at local scales. Therefore, this study was undertaken to evaluate the impact of surrounding landscape on the abundance insect predators in rice field. Results This study revealed a dependency on rice bund margin width, with spider populations increasing with increased bund widths. Conversely, population abundance did not rely on the number of weed species observed on earthen ridge around the rice field. In general, relative abundances of predator populations differed significantly across the three landscapes tested. Among the four predators of rice insect pest, the green mirid bug showed highest number irrespective of landscape. Comparatively, higher predator diversity (Shanon diversity) was observed in landscape I followed by landscape III and landscape II. All landscapes showed different diversity indices indicating heterozygosity existed in each study site. These landscape diversity influences the predator’s abundances at a local scale. Variogram derived from this study also indicated the landscape heterozygosity existed in studied locations which can also explain the predator’s abundances in rice field at locale scale. Conclusion These findings suggest that predators of rice insect pests are landscape specific. Therefore, characterization of each local landscape in Bangladesh rice production landscapes are necessary before planning and implementation of integrated pest management. Geospatial analysis of local landscape would be more effective to analyze such unique characteristics. As a step in this direction, preliminary variography analyses using the RED spectral band of December 2016 LANDSAT 8 imagery propose an initial learning suite of methods for describing useful local characteristics affecting rice pest predators.

Từ khóa


Tài liệu tham khảo

Bhuiyan N, Paul D, Jabber M. Feeding the extra millions by 2025: challenges for rice research and extension in Bangladesh. Paper presented at the National Workshop on Rice Research and Extension; 2002.

International Rice Research Institute: World rice statistics online query facility.2014 http://ricestat.irri.org:8080/wrsv3/entrypoint.htm. Accessed by 26 May 2018.

Bangladesh Rice Research Institute (BRRI). Annual report 2015–16. BRRI, Gazipur, 2016.

Heong K. Ecological Engineering–a strategy to restore biodiversity and ecosystem services for pest management in rice production (Technical Innovation Brief); 2011.

Islam Z, Ahmed N, Haq M. Some ecological aspect of rice bug in Bangldesh. Bangladesh J Entom. 2003;13(1):85–96.

Islam Z, Catling D. Rice pest of Bangladesh. Their ecology and management. Dhaka: The university press limited; 2012. p. 451.

Islam Z, Catling HD, Hasan M, Haque SS, Begum MA, Haq M. Inflence of the green revolution on insect pests of rice, with particular reference to Bangladesh. Outlooks on Pest Management. 2009;20(1):37–43.

Bottrell DG, Schoenly KG. Resurrecting the ghost of green revolutions past: the brown planthopper as a recurring threat to high-yielding rice production in tropical Asia. J Asia-Pac Entomol. 2012;15:122–140.

Teo C. Insecticide abuse in rice production causes planthopper outbreaks. 2011.https://www.asianscientist.com/2011/12/topnews/irri-ban-insecticides-rice-production-due-to-planthopper-outbreaks-2011. Accessed 26 May 2018.

Stern V, Smith R, Van den Bosch R. Hagen kThe integration of chemical and biological control of the spotted alfalfa aphid: the integrated control concept. Hilgardia. 1959;29:81–101.

Chaiyawat P, Channu C, Sriratanasak W. BPH continues to threaten Thai rice farmers – heavy losses expected. 2011. https://ricehopper.wordpress.com/2011/04/20/bph-continues-to-threaten-thai-rice-farmers-heavy-losses-expected. Accessed by 26 May 2018.

Chien H, Cuong L, Heong K. Farms that apply insecticides for leaf folder control are 10 times more at risk to hopperburn. 2009. https://ricehopper.wordpress.com/2009/09/13/farms-that-apply-insecticides-for-leaf-folder-control-are-10-times-more-at-risk-to-hopperburn. Accessed by 26 May 2018.

Islam Z, Haque S. Rice planthopper outbreaks in Bangladesh. 2009. https://ricehopper.wordpress.com/tag/rice-planthoppers-in-bangladesh. Accessed by 26 May 2018.

Luecha M. Farmers insecticide selections might have made their farms vulnerable to hopperburn in Chainat, Thailand. 2010. https://ricehopper.wordpress.com/2010/01/17/farmers%E2%80%99-insecticide-selections-might-have-made-their-farms-vulnerable-to-hopperburn-in-chainat-thailand. Accessed 26 May 2018.

Matsumura M, Sanada-Morimura S. Recent status of insecticide resistance in Asian rice planthoppers. Japan Agric Res Q. 2010;44:225–30.

Rattanakarn W, Channu C. Planthopper problems intensify in Thailands rice bowl. 2012. https://archive.is/2vWGY#selection-109.10-109.21. Accessed 26 May 2018.

Bangladesh Crop Protection Association: List of Registered Agricultural, Bio & Public Health Pesticide in Bangladesh (2013). Accessed 20 Feb 2014.

Ali M, Bari M, Ahmed N, Kabir M, Afrin S, Zaman M, Willers J. Rice production without insecticide in smallholder Farmer's field. Front Environ Sci. 2017. https://doi.org/10.3389/fenvs.2017.00016.

Ahmed N, Englund JE, Åhman I, Lieberg M, Johansson E. Perception of pesticide use by farmers and neighbors in two periurban areas. Sci of the total Env. 2011;412:77–86.

Ahmed N, Islam Z, Hasan M, Kamal N. Effect of some commonly used insecticides on yellow stem borer egg parasitoids in Bangladesh. Ban J of Entom. 2002;12:37–46.

Travisi CM, Nijkamp P, Vindigni G. Pesticide risk valuation in empirical economics: A comparative approach. Ecol Econ. 2006;56:455–74.

Bianchi FJ, Booij C, Tscharntke T. Sustainable pest regulation in agricultural landscapes: a review on landscape composition, biodiversity and natural pest control. Proc Royal Soc London Biol Sci. 2006;273:1715–27.

Werling BP, Meehan TD, Gratton C, Landis DA. Influence of habitat and landscape perenniality on insect natural enemies in three candidate biofuel crops. Biol Control. 2011a;59:304–12.

Shaw DR, Willers JL. Improving pest management with remote sensing. Outlooks Pest Manage. 2006;17:197–201.

Willers J, Jenkins J, Ladner W, Gerard P, Boykin D, Hood K, Bethel M. Site-specific approaches to cotton insect control. Sampling and remote sensing analysis techniques. Precis Agric. 2005;6:431–52.

Woltz JM, Isaacs R, Landis DA. Landscape structure and habitat management differentially influence insect natural enemies in an agricultural landscape. Agric Ecosyst Environ. 2012;152:40–9.

Alain Z, Elena LN, Graham MS. Time series analysis-introduction. In Analysing ecological data. Eds. Gail M, Krickeberg K, Samet J, Tsiatis a, Wong W. New York: Springer; 2007.

Qiu B, Qi W, Chen C, Li W. Relationship between spatial heterogeneity and wavelength in multisensor airborne images. Geo-spatial Information Sci. 2018;18:56–64.

Oliver MA, Shine JA, Slocum KR. Using the Variogram to explore imagery of two different spatial resolutions. Int J Remote Sens. 2005;26(15):3225–40.

Wen Z, Wu S, Liu F, Zhang S, Dale P. Variogram Analysis for Assessing Landscape Spatial Heterogeneity in NDVI: an Example Applied to Agriculture in the Jiansanjiang Reclamation area, Northeast China. Advances in Intelligent Systems Research. 2013. https://doi.org/10.2991/rsete.2013.122.

Wang L, Hui C, Sandhu HS, Li Z, Zhao Z. Population dynamics and associated factors of cereal aphids and armyworms under global change. Sci Rep. 2015. https://doi.org/10.1038/srep18801.

Stein A, van der Meer FD, Gorte B. Spatial statistics for remote sensing. Dordrecht: Kluwer Academic Publishers; 2002.

Duveiller G, Defourny P. A conceptual framework to define the spatial resolution requirements for agricultural monitoring using remote sensing. Remote Sens Environ. 2010;114:2637–50.

Levin SA. The problem of pattern and scale in ecology: the Robert H. MacArthur award lecture. Ecology. 1992;73:1943–67.

Werling BP, Meehan TD, Robertson BA, Gratton C, Landis DA. Biocontrol potential varies with changes in biofuel–crop plant communities and landscape perenniality. GCB Bioenergy. 2011b;3:347–59.

Werling BP, Gratton C. Influence of field margins and landscape context on ground beetle diversity in Wisconsin (USA) potato fields. Agric Ecosyst Environ. 2008;128:104–8.

Sigsgaard L. Early season natural biological control of insect pests in rice by spiders-and some factors in the management of the cropping system that may affect this control. Presented at the European Arachnology; 2000.

Hershey RR. Modeling the spatial distribution of ten tree species in Pennsylvania. In: Mowrer HT, Congalton RG, editors. Quantifying spatial uncertainty in natural resources: theory and applications for GIS and remote sensing. Chelsea: Sleeping Bear Press; 2000. p. 119–35.

Turner MG, Gardner RH. Eds. Quantitative methods in landscape ecology. New York: Springer; 1991.

Li H, Reynolds JF. A simulation experiment to quantify spatial heterogeneity in categorical maps. Ecology. 1994;75:2446–55.

Spellerberg IF, Fedor PJ. A tribute to Claude Shannon (1916–2001) and a plea for more rigorous use of species richness, species diversity and the ‘Shannon–Wiener’Index. Glob Ecol Biogeogr. 2003;12(3):177–9.

Dixon P. VEGAN, a package of R functions for community ecology. J Vegetation Sci. 2003;14(6):927–30.

BRRI (Bangladesh Rice Research Institute). Adhunik Dhaner Chash (Modern Rice Cultivation), 19th Edition. Bangladesh Rice Research Institute, Gazipur-1701, Bangladesh (in Bangla) 2015.

Bari MN, Ahmed N, Haque SS, Rabbi MF, Iftekharuddaula MK. Validation of integrated pest management practices for rice insect in north-west region of Bangladesh. Bangladesh Rice J. 2015;19:17–31.

Hammer Ø, Harper D, Ryan P. Paleontological statistics software: package for education and data analysis. Palaeontol Electron. 2001;4:1–9.