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Journal of Crop Science and Biotechnology

, Volume 19, Issue 3, pp 223–229 | Cite as

Climate change impact on corn suitability in Isabela province, Philippines

  • Arnold R. Salvacion
  • Artemio A. MartinJr.
Research Articles

Abstract

Climate change is expected to affect agricultural crop production in the Philippines. Several studies were already done to quantify the effect of climate change on agricultural crop production in the country. Most of these studies focus only on the effect of climate change on crop yield. This study estimated the effect of climate change on the area (suitable area) for corn production. Using the Land Use Suitability Evaluation Tool (LUSET), change in corn suitability in the province of Isabela was estimated for the years 2050, 2060, and 2070. Based on the results, climate change will negatively impact corn suitability in the province. Decreasing trend in corn suitability rating was observed due to increasing temperature resulting to loss of highly suitable areas for corn production. For example, during the first cropping season the estimated average decreases in suitability scores due to an increase in temperature were 6.7, 11.4, and 20.7% in the years 2050, 2060, and 2070, respectively. These decreases in suitability resulted in the loss of 6,777 ha highly suitable areas for corn production.

Key words

climate change corn suitability LUSET Isabela Philippines 

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References

  1. Antón J, Cattaneo A, Kimura S, Lankoski J. 2013. Agricultural risk management policies under climate uncertainty. Glob. Environ. Change 23: 1726–1736CrossRefGoogle Scholar
  2. Bonfante A, Monaco E, Alfieri SM, De Lorenzi F, Manna P, Basile A, Bouma J. 2015. Chapter Two- Climate Change Effects on the Suitability of an Agricultural Area to Maize Cultivation: Application of a New Hybrid Land Evaluation System. In DL Sparks, ed., Adv. Agron. Academic Press, Vol. Volume 133, pp. 33–69 http://www.sciencedirect.com/science/article/pii/S0065211315001066.Google Scholar
  3. Bradley BA, Estes LD, Hole DG, Holness S, Oppenheimer M, Turner WR, Beukes H, Schulze RE, Tadross MA, Wilcove DS. 2012. Predicting how adaptation to climate change could affect ecological conservation: secondary impacts of shifting agricultural suitability. Divers. Distrib. 18: 425–437CrossRefGoogle Scholar
  4. Brown R, Rosenberg N. 1999. Climate change impacts on the potential productivity of corn and winter wheat in their primary United States growing regions. Clim. Change 41: 73–107CrossRefGoogle Scholar
  5. Buan RD, Maglinao AR, Evangelista PP, Pajuelas BG. 1996. Vulnerability of Rice and Corn to Climate Change in the Philippines. In: L Erda, W Bolhofer, S Huq, S Lenhart, S Mukherjee, J Smith, J Wisniewski, eds. Clim. Change Vulnerability Adapt. Asia Pac. Springer Netherlands, pp. 41–51. http://dx.doi.org/10.1007/978-94-017-1053-4_4CrossRefGoogle Scholar
  6. Çakir R. 2004. Effect of water stress at different development stages on vegetative and reproductive growth of corn. Field Crops Res. 89: 1–16CrossRefGoogle Scholar
  7. Centeno H, Balbarez A, Fabellar N, Kropff M, Matthews R. 1995. Production in the Philippines under current and future climates. In: Model. Impact Clim. Change Rice Prod. Asia. CAB International, pp. 237–250Google Scholar
  8. Challinor AJ, Wheeler TR, Craufurd PQ, Slingo JM, Grimes DIF. 2004. Design and optimisation of a large-area process-based model for annual crops. Agric. For. Meteorol. 124: 99–120CrossRefGoogle Scholar
  9. Challinor A, Wheeler T, Garforth C, Craufurd P, Kassam A. 2007. Assessing the vulnerability of food crop systems in Africa to climate change. Clim. Change 83: 381–399CrossRefGoogle Scholar
  10. Chemura A, Kutywayo D, Chidoko P, Mahoya C. 2015. Bioclimatic modelling of current and projected climatic suitability of coffee (Coffea arabica) production in Zimbabwe. Reg. Environ. Change 16: 473–485CrossRefGoogle Scholar
  11. Evangelista P, Young N, Burnett J. 2013. How will climate change spatially affect agriculture production in Ethiopia? Case studies of important cereal crops. Clim. Change 119: 855–873CrossRefGoogle Scholar
  12. Ewert F, Rötter RP, Bindi M, Webber H, Trnka M, et al. 2015. Crop modelling for integrated assessment of risk to food production from climate change. Environ. Model. Softw. 72: 287–303CrossRefGoogle Scholar
  13. Fischer D, Thomas SM, Niemitz F, Reineking B, Beierkuhnlein C. 2011. Projection of climatic suitability for Aedes albopictus Skuse (Culicidae) in Europe under climate change conditions. Glob. Planet. Change 78: 54–64CrossRefGoogle Scholar
  14. Gerpacio RV, International Fund for Agricultural Development, International Maize and Wheat Improvement Center. 2004. Maize in the Philippines: production systems, constraints, and research priorities. Mexico, D.F., Mexico: CIMMYTGoogle Scholar
  15. Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A. 2005. Very high resolution interpolated climate surfaces for global land areas. Int. J. Climatol. 25: 1965–1978CrossRefGoogle Scholar
  16. Holzkämper A, Calanca P, Fuhrer J. 2011. Analyzing climate effects on agriculture in time and space. 1st Conf. Spat. Stat. 2011–Mapp. Glob. Change 3: 58–62Google Scholar
  17. Holzkämper A, Fossati D, Hiltbrunner J, Fuhrer J. 2015. Spatial and temporal trends in agro-climatic limitations to production potentials for grain maize and winter wheat in Switzerland. Reg. Environ. Change 15: 109–122CrossRefGoogle Scholar
  18. Jayathilaka PMS, Soni P, Perret SR, Jayasuriya HPW, Salokhe VM. 2012. Spatial assessment of climate change effects on crop suitability for major plantation crops in Sri Lanka. Reg. Environ. Change 12: 55–68CrossRefGoogle Scholar
  19. Kim J, Sang W, Shin P, Cho H, Seo M, Yoo B, Kim KS. 2016. Evaluation of regional climate scenario data for impact assessment of climate change on rice productivity in Korea. J. Crop Sci. Biotechnol. 18: 257–264CrossRefGoogle Scholar
  20. Ko J, Ahuja LR. 2014. Global warming likely reduces crop yield and water availability of the dryland cropping systems in the U.S. Central Great Plains. J. Crop Sci. Biotechnol. 16: 233–242CrossRefGoogle Scholar
  21. Ko J, Kim H-Y, Jeong S, An J-B, Choi G, Kang S, Tenhunen J. 2014. Potential impacts on climate change on paddy rice yield in mountainous highland terrains. J. Crop Sci. Biotechnol. 17: 117–126CrossRefGoogle Scholar
  22. Lane A, Jarvis A. 2007. Changes in climate will modify the geography of crop suitability: Agricultural biodiversity can help with adaptation. J. Semi- Arid Trop. Agric. Res. 4: 1–12Google Scholar
  23. Lansigan FP, Salvacion AR. 2007. Assessing the effect of climate change on rice and corn yields in selected provinces in the Philippines. In: 10th Natl. Conv. Stat. NCS. Mandaluyong CityGoogle Scholar
  24. Martin A. 2010. Characterization and Suitability Evaluation of Major Agricultural Soils Towards Rationalizing Land Area Allocation For Biofuel Feedstocks In Cagayan Valley, Philippines. PhD Thesis; 2010: University of the Philippines Los BañosGoogle Scholar
  25. Meza FJ, Silva D, Vigil H. 2008. Climate change impacts on irrigated maize in Mediterranean climates: Evaluation of double cropping as an emerging adaptation alternative. Agric. Syst. 98: 2130CrossRefGoogle Scholar
  26. Nakicenovich N, et al., eds. 2000. Special report on Emissions Scenarios- A Special Report of Working Group III of the IPCC. Cambridge: Cambridge University PressGoogle Scholar
  27. Ovalle-Rivera O, Läderach P, Bunn C, Obersteiner M, Schroth G. 2015. Projected shifts in Coffea arabica suitability among major global producing regions due to climate change. PLoS ONE 10: e0124155CrossRefPubMedPubMedCentralGoogle Scholar
  28. Parthasarathy U, Jayarajan K, Johny AL, Parthasarathy VA. 2008. Identification of suitable areas and effect of climate change on ginger - a GIS study. J. Spices Aromat. Crops 17: 61–68Google Scholar
  29. Philippine Statistical Authority (PSA). 2015. http://countrystat.psa.gov.ph/. Accessed 01 February 2016Google Scholar
  30. Ramirez-Cabral NYZ, Kumar L, Taylor S. 2016. Crop niche modeling projects major shifts in common bean growing areas. Agric. For. Meteorol. 218–219: 102–113CrossRefGoogle Scholar
  31. Ramirez-Villegas J, Challinor AJ, Thornton PK, Jarvis A. 2013. Implications of regional improvement in global climate models for agricultural impact research. Environ. Res. Lett. 8: 024018CrossRefGoogle Scholar
  32. Ray DK, Gerber JS, MacDonald GK, West PC. 2015. Climate variation explains a third of global crop yield variability. Nat. Commun. 6. http://dx.doi.org/10.1038/ncomms6989Google Scholar
  33. Salvacion AR. 2009. Assessing Potential Impact of Changing Climate on Agricultural Crop Production in the Philippines. MSc Thesis; College, Laguna: University of the Philippines Los BañosGoogle Scholar
  34. Salvacion AR. 2015. Climatic Change Impact on Corn Productivity in the Philippines. Int. J. Sci. Basic Appl. Res. IJSBAR 23: 54–68Google Scholar
  35. Soria-Auza RW, Kessler M, Bach K, Barajas-Barbosa PM, Lehnert M, Herzog SK, Böhner J. 2010. Impact of the quality of climate models for modelling species occurrences in countries with poor climatic documentation: a case study from Bolivia. Ecol. Model. 221: 1221–1229CrossRefGoogle Scholar
  36. Sys C, Van Ranst E, Debaveye J, Beernaert F. 1993. Land Evaluation: Part III- Crop Requirments. Brussels, Belgium: Agricultural Publications p. 166Google Scholar
  37. Wang Y, Tan Z, Sun G. 2015. The Impact of Climate Change on the Potential Suitable Distribution of Major Crops in Zambia and the Countermeasures. In D Li, Y Chen, eds., Comput. Comput. Technol. Agric. VIII 8th IFIP WG 514 Int. Conf. CCTA 2014 Beijing China Sept. 16-19 2014 Revis. Sel. Pap. Cham: Springer International Publishing, pp. 460–472. http://dx.doi.org/10.1007/978-3-319-19620-6_52Google Scholar
  38. Yen BT, Pheng KS, Hoanh CT. 2006. LUSET (Land Use Suitability Evaluation Tool): User’s Guide. International Rice Research Institute, Laguna, Philippines: International Rice Research InstituteGoogle Scholar
  39. Zabel F, Putzenlechner B, Mauser W. 2014. Global agricultural land resources–A high resolution suitability evaluation and its perspectives until 2100 under climate change conditions, PLoS ONE 9:e107522CrossRefPubMedPubMedCentralGoogle Scholar

Copyright information

© Korean Society of Crop Science and Springer Science+Business Media Dordrecht 2016

Authors and Affiliations

  1. 1.Department of Community and Environmental Resource Planning, College of Human EcologyUniversity of the Philippines Los BañosCollege, LagunaPhilippines
  2. 2.College of AgricultureIsabela State UniversityEchague, IsabelaPhilippines

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