An Overview of the Population Dynamics Model Based on Climate Parameters
Abstract
Understanding how the environment, especially climate, affects the growth of pests (life cycle) is very important to create management techniques that reduce or eliminate damage to rice plants and minimize the resulting losses. This study aims to describe population dynamics modeling based on the influence of climate parameters using the DYMEX software. Climate and life cycle characteristics, which can be processed in the DYMEX life cycle module, are two important elements in modeling the rice stem borer. Egg, larval, and imago populations exhibit a variety of climate-related effects. The larval stage is most visible in the month of MJJA, where rainfall intensity is low or during the dry season. This indicates that the larval stage can survive through diapause in the dry season. The correct numbers must be used to initialize and parameterize models created using DYMEX. Overall, DYMEX can produce good simulation results in all life stages of the modeled insects. However, obtaining good, precise simulation results requires the user's accuracy in building the model, especially the values of the input parameters. In addition, to test the results of the DYMEX simulation, it is necessary to validate them with the actual conditions of the population in the field.
Keywords
Full Text:
PDFReferences
Aldrian, E., & Dwi Susanto, R. (2003). Identification of three dominant rainfall regions within Indonesia and their relationship to sea surface temperature. International Journal of Climatology, 23(12), 1435–1452. https://doi.org/10.1002/joc.950
Bale, J. S., & Hayward, S. A. L. (2010). Insect overwintering in a changing climate. Journal of Experimental Biology, 213(6). https://doi.org/10.1242/jeb.037911
Bhatt, N., Joshi, S., & Tiwari, S. N. (2018). Pests of Rice. In Omkar (Ed.), Pests and Their Management (pp. 9–50). Springer Singapore. https://doi.org/10.1007/978-981-10-8687-8_2
Gu, S., Han, P., Ye, Z., Perkins, L. E., Li, J., Wang, H., Zalucki, M. P., & Lu, Z. (2018). Climate change favours a destructive agricultural pest in temperate regions: late spring cold matters. Journal of Pest Science, 91(4), 1191–1198. https://doi.org/10.1007/s10340-018-1011-z
Khush, G. S. (1997). Origin, dispersal, cultivation and variation of rice. Plant Molecular Biology, 35(1–2). https://doi.org/10.1007/978-94-011-5794-0_3
Koem, S., Koesmaryono, Y., & Impron. (2014). Pemodelan fenologi populasi penggerek batang padi kuning Scirpophaga incertulas (Walker) berbasis pengaruh iklim. Jurnal Entomologi Indonesia, 11(1), 1–10. https://doi.org/10.5994/jei.11.1.1
Li, Z., Zalucki, M. P., Yonow, T., Kriticos, D. J., Bao, H., Chen, H., Hu, Z., Feng, X., & Furlong, M. J. (2016). Population dynamics and management of diamondback moth (Plutella xylostella) in China: The relative contributions of climate, natural enemies and cropping patterns. Bulletin of Entomological Research, 106(2), 197–214. https://doi.org/10.1017/S0007485315001017
Litsinger, J. A., Alviola, A. L., Dela Cruz, C. G., Barrion, A. T., Canapi, B. L., & Batay-An, E. H. (2006). Rice white stemborer Scirpophaga innotata (Walker) in southern Mindanao, Philippines. I. Supplantation of yellow stemborer S. incertulas (Walker) and pest status. International Journal of Pest Management, 52(1). https://doi.org/10.1080/09670870600552497
Maywald, G. F., Bottomley, W., & Sutherst, R. W. (2007). DYMEX Model Simulator Version 3. Melbourne: CSIRO Publising. www.hearne.com.au
Maywald, G. F., Kriticos, D. J., Sutherst, R. W., & Bottomley, W. (2007). DYMEX Model Builder Version 3. Melbourne: CSIRO Publising. www.hearne.com.au
Nahrung, H. F., Schutze, M. K., Clarke, A. R., Duffy, M. P., Dunlop, E. A., & Lawson, S. A. (2008). Thermal requirements, field mortality and population phenology modelling of Paropsis atomaria Olivier, an emergent pest in subtropical hardwood plantations. Forest Ecology and Management, 255(8–9). https://doi.org/10.1016/j.foreco.2008.02.033
Natanegara, F., & Sawada, H. (1992). Ledakan Serangan Penggerek Batang Padi Putih (Scirpophaga innotata wlk) di Pantai Utara Jawa Barat. Di dalam: Laporan Akhir Kerja Sama Teknis Indonesia-Jepang Bidang Perlindungan Tanaman Pangan (ATA-162).
Nurhayati, E., Koesmaryono, Y., & Impron. (2017). Predictive Modeling of Rice Yellow Stem Borer Population Dynamics under Climate Change Scenarios in Indramayu. IOP Conference Series: Earth and Environmental Science, 58(1). https://doi.org/10.1088/1755-1315/58/1/012054
Rahman, M. T., & Khalequzzaman, M. (2004). Temperature requirements for the development and survival of rice stemborers in laboratory conditions. Insect Science, 11(1). https://doi.org/10.1111/j.1744-7917.2004.tb00179.x
Shah, F. M., Razaq, M., & Islam, Y. (2022). Contemporary Management of Insect Pests in Rice. In N. Sarwar, Atique-ur-Rehman, S. Ahmad, & M. Hasanuzzaman (Eds.), Modern Techniques of Rice Crop Production (pp. 349–376). Springer Singapore. https://doi.org/10.1007/978-981-16-4955-4_20
Suharto, H., & Sembiring, H. (2007). Status Hama Penggerek Batang Padi di Indonesia. Apresiasi Hasil Penelitian Padi. BPTP, 61–71.
Tjahjadi. (1989). Hama dan Penyakit Tanaman. Kanisius.
Vennila, S., Bagri, M., Tomar, A., Rao, M. S., Sarao, P. S., Sharma, S., Jalgaonkar, V., Prasanna Kumar, M. K., Suresh, S., Mathirajan, V. G., Chatterjee, S., Tanwar, R. K., Kumari, A., & Prabhakar, M. (2019). Future of Rice Yellow Stem Borer Scirpophaga incertulas (Walker) Under Changing Climate. National Academy Science Letters, 42(4). https://doi.org/10.1007/s40009-018-0751-x
Yonow, T., Zalucki, M. P., Sutherst, R. W., Dominiak, B. C., Maywald, G. F., Maelzer, D. A., & Kriticos, D. J. (2004). Modelling the population dynamics of the Queensland fruit fly, Bactrocera (Dacus) tryoni: a cohort-based approach incorporating the effects of weather. Ecological Modelling, 173(1). https://doi.org/10.1016/s0304-3800(03)00306-5
DOI: https://doi.org/10.34312/geojpg.v2i1.20186
Refbacks
- There are currently no refbacks.
Copyright (c) 2023 Authors
This work is licensed under a Creative Commons Attribution 4.0 International License.
Journal of Geosfera : Jurnal Penelitian Geografi: (P-ISSN: 2962-5424, E-ISSN: 2962-5416) is licensed under a Creative Commons Attribution 4.0 International License.