Perubahan Iklim Terhadap Kesesuaian Lahan Agroklimat Tanaman Padi dengan Skenario SSP245, SSP370, dan SSP585 Studi Kasus Jawa Tengah

Authors

  • Pujiati Pujiati Universitas Negeri Semarang; Badan Meteorologi Klimatologi dan Geofisika (BMKG)
  • Mochamad Aryono Adhi Universitas Negeri Semarang
  • Trinah Wati Badan Meteorologi Klimatologi dan Geofisika (BMKG)
  • Andreas Kristiawan Badan Meteorologi Klimatologi dan Geofisika (BMKG)
  • Firmansyah Badan Meteorologi Klimatologi dan Geofisika (BMKG)

DOI:

https://doi.org/10.31539/zyz5hv59

Abstract

This study investigates the long-term impact of climate change on the agricultural sector and land suitability in Central Java—Indonesia’s third-largest rice producer. To project future atmospheric, oceanic, and land dynamics, the research utilizes the Global Climate Model (GCM) under the CMIP6 (Coupled Model Intercomparison Project Phase 6) framework. These models integrate socioeconomic factors through three specific Shared Socioeconomic Pathways: SSP2-4.5, SSP3-7.0, and SSP5-8.5, downscaled to a 25 km resolution. The analysis utilizes historical rainfall and temperature data (1991–2014) as a baseline to evaluate two future windows: the near-future (2027–2050) and the far-future (2077–2100). Employing linear regression and agro-climatic land suitability calculations for rice, the results indicate that while climate change impacts remain relatively stable in the near-term, there is a significant risk for the far-future. Specifically, agro-climatic land suitability is projected to decline in the far-future period, driven primarily by a consistent rise in average annual temperatures across Central Java. These findings serve as a critical evidence-based recommendation for regional agricultural planning and adaptation strategies.

 

Keywords: Central Java, Agroclimate Land Suitability, Climate Change, Shared Socioeconomic Pathways

Author Biographies

  • Mochamad Aryono Adhi, Universitas Negeri Semarang

    Dosen Universitas Negeri Semarang 

  • Trinah Wati, Badan Meteorologi Klimatologi dan Geofisika (BMKG)

    Badan Meteorologi Klimatologi dan Geofisika (BMKG)

  • Andreas Kristiawan, Badan Meteorologi Klimatologi dan Geofisika (BMKG)

    Badan Meteorologi Klimatologi dan Geofisika (BMKG)

  • Firmansyah, Badan Meteorologi Klimatologi dan Geofisika (BMKG)

    Badan Meteorologi Klimatologi dan Geofisika (BMKG)

References

Aldiansyah, S., & Risna, R. (2023). Mapping of Oldeman Agro-Climatic Zone Based on Climate Hazards Group Infrared Precipitation with Station Database in Southeast Sulawesi. ECOTROPHIC: Jurnal Ilmu Lingkungan (Journal of Environmental Science), 17(2), 174-187. https://www.semanticscholar.org/paper/Mapping-of-Oldeman-Agro-Climatic-Zone-Based-on-with-Aldiansyah-Risna/ee59900478598fa79aa642c09d5e4ac7a5f70e96

Bellouin, N., Davies, W., Shine, K. P., Quaas, J., Mülmenstädt, J., Forster, P. M.,... & Myhre, G. (2020). Radiative forcing of climate change from the Copernicus reanalysis of atmospheric composition. Earth System Science Data, 12(3), 1649-1677. https://essd.copernicus.org/articles/12/1649/2020/

Bolan, S., Padhye, L. P., Jasemizad, T., Govarthanan, M., Karmegam, N., Wijesekara, H., ... & Bolan, N. (2024). Impacts of climate change on the fate of contaminants through extreme weather events. Science of The Total Environment, 909, 168388. https://pubmed.ncbi.nlm.nih.gov/37956854/

Djaenuddin, D., Marwan, H., Subagyo, H., Mulyani, A., & Suharta, N. (2003). Kriteria Kesesuaian Lahan untuk Komoditas Pertanian (Versi 4). Bogor: Balai Penelitian Tanah, Pusat Penelitian dan Pengembangan Tanah dan Agroklimat. https://scholar.google.com/citations?view_op=list_works&hl=en&hl=en&user=zy96hBMAAAAJ

Hidayat, R., & Taufik, M. (2025). Bias Correction of CMIP6 Models for Assessment of Wet and Dry Conditions Over Sumatra. Agromet, 39(1), 33-39. https://journal.ipb.ac.id/index.php/agromet/article/view/63609

IPCC, 2021: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press. https://www.ipcc.ch/report/ar6/wg1/

Kandari, A. M., Baja, S., & Ala, A. (2013). Agro ecological zoning and land suitability assessment for maize (Zea mays L.) development in Button regency, Indonesia. Agriculture, Forestry and Fisheries, 2(6), 202-211. https://scispace.com/pdf/agroecological-zoning-and-land-suitability-assessment-for-3oqfnrt0r9.pdf

Krivoguz, D. (2025). Analysis of Spatial and Temporal Dynamics of Climate Aridization in Rostov Oblast in 1951–2054 Using ERA5 and CMIP6 Data and the De Martonne Index. Climate, 13(7), 151. https://www.mdpi.com/2225-1154/13/7/151

Madani, I., & Wahid, K. A. (2022). Pemetaan zona agroklimat oldeman di Provinsi Jawa Tengah menggunakan data climate hazards group infrared precipitation with station (CHIRPS). Jurnal Geosains dan Remote Sensing, 3(2), 95-102. https://jgrs.eng.unila.ac.id/index.php/geo/article/view/99

Maharjan, K. L., & Joshi, N. P. (2013). Effect of climate variables on yield of major food-crops in Nepal: A time-series analysis. In Climate change, agriculture and rural livelihoods in developing countries (pp. 127-137). Tokyo: Springer Japan. https://link.springer.com/chapter/10.1007/978-4-431-54343-5_9

Mesgari, E., Hosseini, S. A., Hemmesy, M. S., Houshyar, M., & Partoo, L. G. (2022). Assessment of CMIP6 models’ performances and projection of precipitation based on SSP scenarios over the MENAP region. Journal of Water and Climate Change, 13(10), 3607-3619. https://iwaponline.com/jwcc/article/13/10/3607/91513/Assessment-of-CMIP6-models-performances-and

Misnawati, M., Boer, R., June, T., & Faqih, A. (2018). Perbandingan metodologi koreksi bias data curah hujan chirps. Limnotek, 25(1), 18-29. https://scispace.com/pdf/perbandingan-metodologi-koreksi-bias-data-curah-hujan-chirps-czwfcz0d6r.pdf

Nazarenko, L. S., Tausnev, N., Russell, G. L., Rind, D., Miller, R. L., Schmidt, G. A., ... & Yao, M. S. (2022). Future climate change under SSP emission scenarios with GISS‐E2. 1. Journal of Advances in Modeling Earth Systems, 14(7), e2021MS002871. https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2021MS002871

Oldeman, L. R., & Frère, M. (1982). A study of the agroclimatology of the humid tropics of Southeast Asia (FAO/UNESCO/WMO Interagency Project on Agroclimatology Technical Report). Food & Agriculture Organization. https://unesdoc.unesco.org/ark:/48223/pf0000392396

Sergio, A., Zen, M. A., Wahyuni, R. K., & Nohe, D. A. (2022, May). Hubungan jumlah penduduk miskin dengan berat badan lahir rendah di Kalimantan Timur menggunakan korelasi Pearson dan Spearman. In Prosiding Seminar Nasional Matematika dan Statistika (Vol. 2). https://scholar.google.com/citations?user=tuUCW0gAAAAJ&hl=id

Sperna Weiland, F. C., Van Beek, L. P. H., Kwadijk, J. C. J., & Bierkens, M. F. P. (2010). The ability of a GCM-forced hydrological model to reproduce global discharge variability. Hydrology and Earth System Sciences, 14(8), 1595-1621. https://hess.copernicus.org/articles/14/1595/2010/hess-14-1595-2010.html

Supharatid, S., Aribarg, T., & Nafung, J. (2022). Bias-corrected CMIP6 climate model projection over Southeast Asia. Theoretical & Applied Climatology, 147. https://ui.adsabs.harvard.edu/abs/2022ThApC.147..669S/abstract

Tjasyono, B. (1992). Klimatologi Terapan. Bandung: CV Pionir Jaya. https://library.uicm.ac.id/index.php?p=show_detail&id=1686&keywords=

Tran, B. L., Tseng, W. C., & Chen, C. C. (2025). Climate change impacts on crop yields across temperature rise thresholds and climate zones. Scientific Reports, 15(1), 23424. https://www.nature.com/articles/s41598-025-07405-8

Wandayantolis, W., Budianta, D., Yakup, Y., & Gunawan, D. (2024). Assessing the Change of Agroclimatic Suitability for Rice Cultivation in South Sumatra, Indonesia. AGRIVITA Journal of Agricultural Science, 46(2), 229-237. https://agrivita.ub.ac.id/index.php/agrivita/article/view/4230

Zomer, R. J., Xu, J., Spano, D., & Trabucco, A. (2025). CMIP6-based global estimates of future aridity index and potential evapotranspiration for 2021- 2060. Open Research Europe, 4, 157. https://pubmed.ncbi.nlm.nih.gov/39926355/

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Published

2025-12-31