Model Denitrification Decomposition (DNDC) Untuk Estimasi Emisi Gas Ch4 Pada Budidaya Padi Metode System of Rice Intensification (SRI)

Penulis

  • Badi’atun Nihayah
  • Bayu Dwi Apri Nugroho
  • Nur Aini Iswati Hasanah

Kata Kunci:

emisi CH4, model DNDC, padi, pupuk, system of rice intensification

Abstrak

Budidaya padi merupakan sumber emisi utama di sektor pertanian yang menyumbang gas rumahkaca terutama CH4. Upaya penurunan emisi gas CH4 pada penelitian ini dilakukan melalui pengintegrasian komponen teknologi antara varietas, pupuk dan irigasi berselang melalui metode budidaya System of Rice Intensification (SRI). Penelitian ini bertujuan untuk mengetahui pengaruh varietas dan pemupukan terhadap emisi gas CH4 selama satu musim tanam serta melakukan pemodelan pada emisi CH4. Model Denitrification-Decomposition (DNDC) digunakan karena dapat memprediksi emisi gas rumahkaca salah satunya CH4 dari ekosistem pertanian. Penelitian ini menggunakan Rancangan Nested Design dengan dua faktor perlakuan yaitu pemupukan yang terdiri dari pupuk kandang dan MOL (P1) serta pupuk kandang, ZA, SP36 dan KCl (P2), dan perlakuan varietas yaitu Ciherang (C) dan IR-64 (IR). Hasil observasi menunjukkan bahwa total emisi CH4 tertinggi yaitu pada perlakuan P1-IR sebesar 136,36 kg/ha/musim dan terendah yaitu perlakuan P2-IR sebesar 88,09 kg/ha/musim. Hasil simulasi menggunakan DNDC juga menunjukkan bahwa perlakuan P1-IR menghasilkan total emisi CH4 tertinggi sebesar 143 kg/ha/musim dan terendah yaitu perlakuan P2-IR sebesar 59 kg/ha/musim. Evaluasi model hasil observasi dan simulasi DNDC untuk rata-rata fluks CH4 harian dengan nilai R2 dan RMSE setiap perlakuan yaitu P1-C ; P1-IR ; P2-C dan P2-IR berturut-turut sebesar (R2 = 0.65 ; RMSE = 13.19)  ; (R2 = 0.003 ; RMSE = 3.55) ;  (R2 = 0.17 ; RMSE = 32.06) dan (R2 = 0.35 ; RMSE = 12.25). Hasil simulasi DNDC masih membutuhkan optimasi untuk estimasi emisi CH4 pada pemupukan dan varietas yang berbeda.

Referensi

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Arif, C., Setiawan, B. I., Widodo, S., Sipil, T., Darmaga, K. I. P. B., Mesin, T., & Darmaga, K. I. P. B. (2015). Pengembangan Model Jaringan Saraf Tiruan Untuk Menduga Emisi Gas Rumah Kaca Dari Lahan Sawah Dengan Berbagai Rejim Air Development Of Artificial Neural Network To Predict Greenhouse Gas Emissions From Rice Fields With Different Water Regimes Oleh : 10(1), 1–10.

Aulakh, M. S., Bodenbender, J., Wassmann, R., & Rennenberg, H. (2000). Methane transport capacity of rice plants. II. Variations among different rice cultivars and relationship with morphological characteristics. Nutrient Cycling in Agroecosystems, 58(1–3), 367–375. https://doi.org/10.1023/A:1009839929441

Babu, Y. J., Li, C., Frolking, S., Nayak, D. R., & Adhya, T. K. (2006). Field validation of DNDC model for methane and nitrous oxide emissions from rice-based production systems of India. Nutrient Cycling in Agroecosystems, 74(2), 157–174. https://doi.org/10.1007/s10705-005-6111-5

Balitbangtan. (2016). Varietas Rendah Emisi Gas Rumah Kaca.

BBPADI. (2019). BBPADI - Top 10 Varietas Padi Tahun 2018.

Cai, Z., Shan, Y., Xu, H., Cai, Z., Shan, Y., & Xu, H. (2013). Soil Science and Plant Nutrition Effects of nitrogen fertilization on CH 4 emissions from rice fields Effects of nitrogen fertilization on CH 4 emissions from rice fields. 0768. https://doi.org/10.1111/j.1747-0765.2007.00153.x

Denier Van Der Gon, H. A. C., & Neue, H. U. (1996). Oxidation of methane in the rhizosphere of rice plants. In Biology and Fertility of Soils (Vol. 22). https://doi.org/10.1007/BF00334584

Ferry Yunianti, I., Yulia ningrum, H., & Ariani, M. (2020). Pengaruh Pemberian Variasi Bahan Organik Terhadap Peningkatan Produksi Padi dan Penurunan Emisi Metana (CH4) di Lahan Sawah Tadah Hujan. Jurnal Ecolab, 14(2), 79–90. https://doi.org/10.20886/jklh.2020.14.2.79-90

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IRRI. (2020). International Rice Research Institute. https://doi.org/10.1017/s0266467400004065

Katayanagi, N., Fumoto, T., Hayano, M., Takata, Y., Kuwagata, T., Shirato, Y., … Yagi, K. (2016). Development of a method for estimating total CH4 emission from rice paddies in Japan using the DNDC-Rice model. Science of The Total Environment, 547, 429–440. https://doi.org/https://doi.org/10.1016/j.scitotenv.2015.12.149

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Le Mer, J., & Roger, P. (2001). Production, oxidation, emission and consumption of methane by soils: A review. European Journal of Soil Biology, 37(1), 25–50. https://doi.org/https://doi.org/10.1016/S1164-5563(01)01067-6

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Rahmat, A., Arif, C., & Chadirin, Y. (2018). Estimasi Gas Rumah Kaca Pada Berbagai Macam Pengelolaan Air Menggunakan Model Denitrifikasi-Dekomposisi ( DNDC ) Greenhouse Gas Estimation In Various Water Management Using Denitrification-Decomposition Model ( DNDC ) Oleh : 11–20.

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Unduhan

Diterbitkan

2021-09-30

Cara Mengutip

Nihayah, B., Nugroho, B. D. A., & Hasanah, N. A. I. (2021). Model Denitrification Decomposition (DNDC) Untuk Estimasi Emisi Gas Ch4 Pada Budidaya Padi Metode System of Rice Intensification (SRI). Jurnal Riset Daerah Kabupaten Bantul, 21(3), 3988–4002. Diambil dari https://ojs.bantulkab.go.id/index.php/jrd/article/view/59