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Impact Assessment of Climate Change on Rice Yield Using a Crop Growth Model and Activities Toward Adaptation: Targeting Three Provinces in Indonesia

  • Yoshiyuki Kinose
  • Yuji Masutomi
Chapter

Abstract

In accordance with the Paris Agreement, the assessment of climate change impacts on rice productivity is expected at both the national and local (i.e., province or state) levels in Asian countries, to create and implement adaptation plans for climate change. However, there is limited information on the impact of climate change on local rice production in developing countries, especially at the local level. To this end, we aimed to clarify this impact on the yield of local rice in Indonesia in the next 25 years, using a crop growth model, MATCRO-Rice, in three provinces including North Sumatra, East Java, and Bali. Climate change was predicted to reduce the yield primarily because of increase in air temperature. Furthermore, the simulated yield reductions were different among the districts in each province, indicating the importance of regional adaptation priorities. We discussed several adaptation strategies with local stakeholders in each province from the viewpoints of feasibility and priority. Some strategies, such as change in cultivars to have high tolerance to high air temperature, which was ranked as being highly feasible and high priority, are expected to be future adaptation options.

Notes

Acknowledgments

This study was supported by the Program on Development of Regional Climate Change Adaptation Plans in Indonesia, by the Ministry of the Environment of Japan, and by the Environment Research and Technology Development Fund (S-12) of the Environmental Restoration and Conservation Agency. This study was performed in collaboration with the Indonesian Ministry of National Development Planning (BAPPENAS; Badan Perencanaan Pembangunan Nasional). We are indebted to Dr. Keiichi Hayashi for providing us with experimental data, from studies conducted in IJCRP, which were funded by the Ministry of Agriculture, Forestry, and Fisheries of Japan, regarding tuning the crop growth model. We acknowledge the World Climate Research Programme’s Working Group on Coupled Modelling, which is responsible for CMIP. We also thank the climate modeling groups (listed in Table 5.1) for producing and making available their model output. For CMIP, the U.S. Department of Energy’s Program for Climate Model Diagnosis and Intercomparison provided coordinating support and led the development of software infrastructure in partnership with the Global Organization for Earth System Science Portals.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Yoshiyuki Kinose
    • 1
  • Yuji Masutomi
    • 2
  1. 1.Graduate Faculty of Interdisciplinary ResearchUniversity of YamanashiKofuJapan
  2. 2.College of AgricultureIbaraki UniversityInashikiJapan

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