Home⇛DAVAO RESEARCH JOURNAL⇛vol. 15 no. 3 (2024)

A time series analysis of aquaculture milkfish production volume using the Box-Jenkins SARIMA Model: A case study from Davao Oriental, Philippines

Jimmy C. Lape, Jr. | Jerd M. Dela Gente

Discipline: Agriculture

 

Abstract:

Milkfish farming has been historically practiced in the Philippines for a long time and is a significant source of income and livelihood for fish farmers in the country. In this paper, the researchers analyzed the aquaculture milkfish production volume in Davao Oriental from 1996 to 2023 using Seasonal Auto-Regressive Integrated Moving Average (SARIMA). The SARIMA model was used to forecast milkfish production future values, which provided insights into the aquaculture sector’s potential development in the province. The autocorrelation, partial autocorrelation, and stationarity tests indicate that milkfish production from 1996 to 2023 was not stationary. Thus, seasonal differencing was used to achieve stationarity. Several models weredeveloped and diagnosed, and SARIMA (2,0,2) (1,1,1)4 provided satisfactory accuracy and precision in forecasting. However, the forecast showed some fluctuations or uncertainty in the predicted milkfish production. This can be reasoned out to be due to other environmental factors such as typhoons, rain, diseases or abnormally high sea surface temperature from climate change impacts. An actual environmental and socio-demographic survey is needed to explore further whether environmental factors are indeed affecting the production of milkfish in Davao Oriental, and therefore confirming the fluctuations of production.



References:

  1. Bagarinao, T. (1999). Ecology and farming of milkfish. Tigbauan, Iloilo, Philippines: Southeast Asian Fisheries Development Center, Aquaculture Department. https://core.ac.uk/download/pdf/77981135.pdf
  2. BFAR. (2018). Philippine Fisheries Profile 2018.
  3. BFAR. (2022). The National Milkfish Industry Roadmap Industry Roadmap (2021-2040). Fisheries Building Complex, BPI Compound, Visayas Ave., Quezon City: Bureau of Fisheries and Aquatic Resources.
  4. Bombeo-Tuburan, I. (1989). Comparison of various water replenishment and fertilization schemes in brackishwater milkfish ponds. Journal of Applied Ichthyology, 5(2), 61-66. https://sci-hub.se/https://doi.org/10.1111/j.1439-0426.1989.tb00474.x
  5.  Cavanaugh, J.E., and Neath, A.A. (2019). The Akaike information criterion: Background, derivation, properties, application, interpretation, and refinements. Wiley Interdisciplinary Reviews: Computational Statistics, 11(3). https://scihub.se/https://doi.org/10.1002/wics.1460
  6. Cruz, Ronald Allan L.; Kumar, Vikas; and Ragaza, Janice A., (2019). Some Current Trends and Challenges in Philippine Aquaculture, with an Emphasis on Synergies with Biodiversity Initiatives. Archīum.ATENEO. https://archium.ateneo.edu/cgi/viewcontent.cgi?article=1052&context=biology-faculty-pubs
  7.  FAO. (2009). Chanos chanos. In Cultured aquatic species fact sheets. Text by Nelson, A.L. and Marygrace C.Q. Edited and compiled by Valerio Crespi and Michael New. CD-ROM (multilingual).
  8. FAO. (2018). Better management practices for feed production and management of Nile tilapia and milkfish in the Philippines. Rome, Italy: Food And Agriculture Organization Of The United Nations.
  9. Garcia, L. M. (1990). Fisheries biology of milkfish (Chanos chanos Forskal) (H. Tanaka, K. R. Uwate, J. V. Juario, C. S. Lee, and R. Foscarini (eds.)) [Conference paper]. Food and Agriculture Organization of the United Nations, South Pacific Aquaculture Development Project. http://hdl.handle.net/10862/331
  10. Guerrero III, R. D. (2006). Eco-Friendly Fish Farm Management and production of safe aquaculture foods in the Philippines. Aquaculture, 1(43.7), 896-445. https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=ad8074e152dcbe2e3141b480275f66c98ba6c264
  11. Guerrero III, R., Rasco, Jr., E., and Aliño, P.M. (2022). Developing Philippine Coastal and Oceanic Aquaculture for Food Security and Livelihood Generation. Transactions of the National Academy of Science and Technology.  10.53378/ijstem.353080
  12. Ichon, L.M., Dela Gente, J.M. (2023). Time Series Analysis of Mean Temperature using SARIMA: An Example from Davao Oriental, Philippines. Davao Research Journal (DRJ), 14(1), 73-83.  https://davaoresearchjournal.ph/index.php/main/article/view/91/12
  13.  Ilagan, L.; Andigan, C.; Nobillos, J. and Meru, F. (eds). High-Value Aquaculture Industry Development Plan for Davao Oriental, 2013-2020. USAID GEM Technical Paper. Philippines, USAID. 2013. 212p.
  14. Lewis, C.D. (1982). Industrial and business forecasting methods. London: Butterworths.
  15. Lio-Po, G. (1984). Diseases of milkfish. In J. V. Juario, R. P. Ferraris, and L. V. Benitez (Eds.), Advances in milkfish biology and culture: Proceedings of the Second International Milkfish Aquaculture Conference, 4-8 October 1983, Iloilo City, Philippines. (pp. 147-153). Metro Manila, Philippines: Published by Island Pub. House in association with the Aquaculture Department, Southeast Asian Fisheries Development Center and the International Development Research Centre. https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=d0166952603d967ef0dc5ac736ceb77b6c6ceac4
  16. Macusi, E. D.; Macusi, E. S.; Bongas, H. P.; and Cayacay, M. A. Typology of Milkfish (Chanos chanos) Farms: Their Operations, Socio-Economic Viability, and Challenges. Preprints 2023, 2023120507.10.20944/preprints202312.0507.v1
  17. Macusi, E. D., Estor, D. E. P., Borazon, E. Q., Clapano, M. B., and Santos, M. D. (2022). Environmental and Socioeconomic Impacts of Shrimp Farming in the Philippines: A Critical Analysis Using PRISMA. Sustainability 14(5), 2977. https://www.mdpi.com/2071-1050/14/5/2977
  18. Macusi, E. D., Geronimo, R. C., and Santos, M. D. (2021). Vulnerability drivers for small pelagics and milkfish aquaculture value chain determined through online participatory approach. Marine Policy  133, 104710. https://sci-hub.se/https://doi.org/10.1016/j.marpol.2021.104710
  19. Mah, P.J., Ihwal, N.A., and Azizan, N.A. (2018). Forecasting Fresh Water And Marine Fish Production In Malaysia Using Arima And Arfima Models. Malaysian Journal Of Computing. https://ir.uitm.edu.my/id/eprint/43464/
  20.  Marte, C.L., and Lacanilao, F.J. (1986). Spontaneous maturation and spawning of milkfish in floating net cages. Aquaculture, 53, 115-132. https://sci-hub.se/https://doi.org/10.1016/0044-8486(86)90281-4
  21.  Martínez-Acosta, L., Medrano-Barboza, J.P., López-Ramos, Á., Remolina López, J.F., & López-Lambraño, Á.A. (2020). SARIMA Approach to Generating Synthetic Monthly Rainfall in the Sinú River Watershed in Colombia. Atmosphere. https://www.mdpi.com/2073-4433/11/6/602
  22.  Network of Aquaculture Centres in Asia-Pacific. (2012). Technical brief: Vulnerability and adaptation to climate change for milkfish farming in the Philippines. Network of Aquaculture Centres in Asia-Pacific.
  23. Otubusin, S.O., and Lim, C.E. (1985). The effect of duration of feeding on survival, growth, and production of milkfish, Chanos chanos (Forskal), in brackishwater ponds in the Philippines. Aquaculture, 46(4), 287-292. https://sci-hub.se/https://doi.org/10.1016/0044-8486(85)90106-1
  24.  PSA. (2020). Selected Statistics on Agriculture 2020, Bureau of Agricultural Statistics (BAS). ISSN-2012-0362. Quezon City, Philippines.
  25. PSA. (2022). Fisheries Statistics of the Philippines 2019-2021, in: Mapa, D. (Ed.). Philippine Statistics Agency, Quezon City, Philippines, p. 327
  26. PSA. (2024). OpenStat website. Retrieved from https://openstat.psa.gov.ph/
  27. Rasdas, S.M., Costales, J.A., Fajardo, A.C., and Limbago, J.S. (2023). Abundance Mapping of Commercial Fisheries Production using K-Means and Forecasting Algorithm in Manila Bay, Philippines. 2023 IEEE 8th International Conference for Convergence in Technology (I2CT), 1-5.
  28. Villaluz, A.C., and Unggui, A.S. (1983). Effects of temperature on behavior, growth, development and survival in young milkfish, Chanos chanos (Forskal). Aquaculture, 35, 321-330. https://sci-hub.se/https://doi.org/10.1016/0044-8486(83)90104-7
  29.  White, P. G. (2013). Case study on the impacts of climate change on Milkfish pond production in the Municipalies of Borotok Nueva and Dumangas, Panay Island, Philippines.

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