Climate Suitability Analysis of Robusta Coffee and Its Projections in South Sumatera Province
DOI:
https://doi.org/10.23960/jtep-l.v13i2.512-524Abstract
Climate suitability will support the growth of a plant such as Robusta coffee. This study aims to analyze the suitability of the Robusta coffee plant climate and its projection in South Sumatra. Climate suitability is assessed based on the weighting of air temperature, rainfall, number of dry months, altitude, soil texture, and slopes. This study used observation data on rainfall and air temperature at 48 rain post points in the Robusta coffee farming area. The projection uses scenarios shared socioeconomic pathways (SSP) 2-4.5 and 5-8.5 of the MIROC6 model with three projection periods of 2021-2030, 2031-2040, and 2041-2050. The results showed that baseline period 35% of the area as a very suitable class and 65% in fairly suitable class. Based on the projected results of scenario SSP2-4.5 period 1 to 3 have the same percentage of area, that is 91% in very suitable class and 9% in fairly suitable class. The projected results of the scenario SSP5-8.5 show an improvement but not better than scenario SSP2-4.5. The percentage of area very suitable class for periods 1 to 3 of 89%, 50%, and 85% respectively.
Keywords: Climate suitability, Projection, Robusta coffee, SSP2-4.5, SSP5-8.5.
References
Angka, A.W.A. (2021). Dampak perubahan iklim terhadap produktivitas kopi Robusta di Desa Kurrak Kecamatan Tapango Kabupaten Polewali Mandar. Media Agribisnis, 5(2), 133–139. http://dx.doi.org/10.35326/agribisnis.v5i2.1594
Arifianto, F., & Ismail, H. (2023). Proyeksi kesesuaian agroklimat tanaman kopi arabika berdasarkan skenario iklim di Sulawesi Selatan, Indonesia. Agro Bali: Agricultural Journal, 6(1), 65–73. http://dx.doi.org/10.37637/ab.v6i1.1108
Arifianto, F., & Koesmaryono, Y. (2016). Karakterisasi tingkat produksi duku berbasis pewilayahan hujan di Provinsi Jambi. Jurnal Hortikultura Indonesia, 7(2), 121–128. https://doi.org/10.29244/jhi.7.2.121-128
Avelino, J., Cristancho, M., Georgiou, S., Imbach, P., Aguilar, L., Bornemann, G., Läderach, P., Anzueto, F., Hruska, A.J., & Morales, C. (2015). The coffee rust crises in Colombia and Central America (2008–2013): impacts, plausible causes and proposed solutions. Food Security, 7, 303–321. http://dx.doi.org/10.1007/s12571-015-0446-9
BPS (Badan Pusat Statistik). (2022). Statistik Kopi Indonesia 2021. Badan Pusat Statistik, Jakarta.
Chengappa, P.G., & Devika, C.M. (2016). Climate variability concerns for the future of coffee in India: an exploratory study. International Journal of Environment, Agriculture and Biotechnology, 1(4), 238602. http://dx.doi.org/10.22161/ijeab/1.4.27
Dippe, T., Greatbatch, R.J., & Ding, H. (2019). Seasonal prediction of equatorial Atlantic sea surface temperature using simple initialization and bias correction techniques. Atmospheric Science Letters, 20(5), e898. http://dx.doi.org/10.1002/asl.898
Ditjenbun. (2018). Statistik Perkebunan Indonesia 2015-2017. Sekretariat Direktorat Jenderal Perkebunan, Direktorat Jenderal Perkebunan, Kementerian Pertanian.
Djaenudin, D., Marwan, H., Subagjo, H., & Hidayat, A. (2011). Petunjuk Teknis Evaluasi Lahan untuk Komoditas Pertanian. Balai Besar Penelitian dan Pengembangan Sumberdaya Lahan Pertanian, Badan Litbang Pertanian, Bogor: 36pp.
Fadholi, A. (2013). Persamaan regresi prediksi curah hujan bulanan menggunakan data suhu dan kelembapan udara di Ternate. Statistika, 13(1), 7-16.
Ferdiansyah, E., Handoko, H., & Impron, I. (2020). Model simulasi pertumbuhantanaman jagung manis hibrida pada jarak tanam yang berbeda. Jurnal Ilmu Pertanian Indonesia, 25(3), 396–404. https://doi.org/10.18343/jipi.25.3.396
Gunda, T., Bazuin, J.T., Nay, J., & Yeung, K.L. (2017). Impact of seasonal forecast use on agricultural income in a system with varying crop costs and returns: an empirically-grounded simulation. Environmental Research Letters, 12(3), 034001. http://dx.doi.org/10.1088/1748-9326/aa5ef7
Hausfather, Z. (2018). Explainer: How ‘shared socioeconomic pathways’ explore future climate change. Carbon Brief: Clear on Climate.
Irmeilyana, N., Desiani, A., & Rodiah, D. (2019). Deskripsi hubungan luas areal dan produksi perkebunan kopi di Provinsi Sumatra Selatan. Seminar Nasional Semirata BKS PTN Bidang MIPA Indonesia Barat.
Kusumo, I., & Septiadi, D. (2016). Tipe Iklim Oldeman 2011-2100 berdasarkan skenario RCP 4.5 dan RCP 8.5 di Wilayah Sumatera Selatan. Jurnal Meteorologi Klimatologi dan Geofisika, 3(3), 26–36.
Lenderink, G., Buishand, A., & Van Deursen, W. (2007). Estimates of future discharges of the river Rhine using two scenario methodologies: direct versus delta approach. Hydrology and Earth System Sciences, 11(3), 1145–1159. http://dx.doi.org/10.5194/hess-11-1145-2007
Leo, G.A.P., Wirianata, H., & Santosa, T.N.B. (2023). Analisis pengaruh curah hujan terhadap produktivitas kopi (Coffea Sp.) Kec. Gemawang, Kab. Temanggung, Jawa Tengah. Agrotechnology, Agribusiness, Forestry, and Technology: Jurnal Mahasiswa Instiper (Agroforetech), 1(1), 95–102.
Menteri Pertanian RI. (2014). Peraturan Menteri Pertanian No. 49/Permentan/OT.140/4/2014 Tentang Pedoman Teknis Budidaya Kopi yang Baik (Good Agriculture Practices / GAP on Coffee). Kementerian Pertanian RI, Jakarta.
Ramamurthy, V., Mamatha, D., Niranjan, K.V, Vasundhara, R., Ranjitha, K., Chandrakala, M., & Singh, S.K. (2020). Suitability evaluation for pigeon pea in southern transition zone of Karnataka Plateau, India. Legume Research-An International Journal, 43(6), 812–818. http://dx.doi.org/10.18805/LR-4047
Riahi, K., Van Vuuren, D.P., Kriegler, E., Edmonds, J., O’neill, B.C., Fujimori, S., Bauer, N., Calvin, K., Dellink, R., & Fricko, O. (2017). The shared socioeconomic pathways and their energy, land use, and greenhouse gas emissions implications: An overview. Global Environmental Change, 42, 153–168. http://dx.doi.org/10.1016/j.gloenvcha.2016.05.009
Sarvina, Y. (2019). Dampak perubahan iklim dan strategi adaptasi tanaman buah dan sayuran di daerah tropis. Jurnal Penelitian dan Pengembangan Pertanian, 38(2), 65-76.
Supriadi, H. (2014). Budidaya Tanaman Kopi untuk Adaptasi dan Mitigasi Perubahan Iklim. Balai Penelitian Tanaman Industri dan Penyegar, Sukabumi.
Syakir, M., & Surmaini, E. (2017). Perubahan iklim dalam konteks sistem produksi dan pengembangan kopi di Indonesia. Jurnal Penelitian dan Pengembangan Pertanian, 36(2), 77. https://doi.org/10.21082/jp3.v36n2.2017.p77-90
Weiland, F.C.S., 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://doi.org/10.5194/hess-14-1595-2010
Widayat, H.P., Anhar, A., & Baihaqi, A. (2015). Dampak perubahan iklim terhadap produksi, kualitas hasil dan pendapatan petani kopi arabika di Aceh Tengah. Jurnal Agrisep, 16(2), 8–16.
Downloads
Published
Issue
Section
License
- Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International Lice that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
Jurnal Teknik Pertanian Lampung
JTEPL is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.