No abstract

Climate change and its variability are some of the most critical threats to sustainable agriculture, with potentially severe consequences on Indonesia’s agriculture, such as changes in rainfall patterns, especially the onset of the wet season and the temporal distribution of rainfall. Most Indonesian farmers receive support from agricultural extension services, and therefore, design their agricultural calendar based on personal experience without considering global climate phenomena, such as La Niña and El Niño, which difficult to interpret on a local scale. This paper describes the Integrated Cropping Calendar Information System (ICCIS) as a mechanism for adapting to climate variability. The ICCIS contains recommendations on planting time, cropping pattern, planting area, varieties, fertilizers, agricultural machinery, potential livestock feed, and crop damage due to climate extremes for rice, maize, and soybean. To accelerate the dissemination of information, the ICCIS is presented in an integrated web-based information system. The ICCIS is disseminated to extension workers and farmers by Task Force of the Assessment Institute for Agricultural Technology (AIAT) located in each province. Based on the survey results, it is known that the ICCIS adoption rate is moderate to high. The AIAT must actively encourage and support the ICCIS Task Force team in each province. Concerning the technological recommendations, it is necessary to update the recommendations for varieties, fertilizer, and feed to be more compatible with local conditions. More accurate information and more intensive dissemination can enrich farmers’ knowledge, allowing for a better understanding of climate hazards and maintaining agricultural production.

ABSTRAKKeragaman curah hujan yang tinggi secara spasial dan temporal akibat variabilitas iklim berpengaruh nyata terhadap produktivitas tanaman. Salah satu upaya yang efektif dan murah untuk menekan risiko terkait keragaman dan iklim ekstrem adalah menyesuaikan waktu tanam. Kriteria yang umum digunakan untuk menentukan awal musim tanam padi di Indonesia adalah awal musim hujan (MH), yaitu jika jumlah curah hujan > 50 mm dalam tiga dasarian berturutturut. Kriteria lain yang disarankan para pakar adalah jumlah curah hujan selama beberapa hari berturut-turut, yang tidak diikuti oleh beberapa hari kering berturut-turut dalam periode setelahnya. Namun, jumlah hari hujan dan hari kering berturut-turut bervariasi. Sistem informasi untuk penentuan waktu tanam padi di Indonesia adalah Kalender Tanam (Katam). Katam memberikan informasi estimasi awal waktu tanam, potensi luas tanam, rotasi tanaman, dan intensitas tanam pada tingkat kecamatan untuk setiap musim selama satu tahun. Penentuan waktu tanam pada Katam berdasarkan kriteria awal MH. Namun, pertumbuhan tanaman tidak hanya ditentukan oleh curah hujan pada waktu tanam, tetapi juga jumlah dan distribusi hujan selama periode tanam. Oleh karena itu, penentuan waktu tanam perlu pula mempertimbangkan distribusi curah hujan selama musim tanam. Kendala penerapan kriteria tersebut adalah belum tersedianya prediksi curah hujan harian 12 bulan ke depan yang diinformasikan 12 sebelumnya. Namun, dengan menggunakan Global Circulation Model, prediksi curah hujan harian pada musim tanam yang akan datang dapat diberikan tepat waktu. eras merupakan makanan pokok bagi sebagian besar penduduk Indonesia sehingga kebijakan pembangunan pertanian difokuskan pada upaya mencapai kemandirian pangan, terutama beras. Namun, upaya tersebut menghadapi berbagai kendala seperti meningkatnya laju konversi lahan pertanian dan melambatnya pencetakan lahan pertanian baru (Agus et al. 2006). Di lain pihak, meski teknologi pertanian berkembang pesat, penerapannya di tingkat petani berjalan lambat sehingga peningkatan produktivitas padi rata-rata hanya di bawah 1% atau 54 kg/ha/tahun (Agus 2007). Kendala lain adalah penurunan kualitas irigasi akibat degradasi jaringan irigasi (Sumaryanto 2006). Sekitar 60,41% lahan sawah merupakan sawah irigasi (BPS 2013), namun hanya lahan irigasi kelas satu yang sumber airnya terjamin. Kondisi jaringan irigasi yang kurang

<p>Coffee is one of the Indonesian largest export commodities and has a strategic role in the economy of nearly two million farmers’ livelihood. The potency of Indonesia’s coffee export is quite high because of its preferred taste, however the trend of national coffee production is only 1-2% per year. On the other hand, the impacts of climate change also threaten the achievement of increased production targets. This paper reviews the impact climate change on coffee production and the adaptation strategies. The main coffee producing regions in Indonesia are Aceh, North Sumatera, South Sumatera, Lampung, Bengkulu, East Java and South Sulawesi Provinces. Most of these regions are vulnerable to climate change. The increasing of extreme climate events such as drought due to El Niño causes a decline in national coffee production to 10%. On the contrary, the longer wet season due to La Niña caused the decreased coffee production to 80%. Indirect impacts due to rising temperatures are increased incidence of coffee borer and leaf rust disease which can lead to a 50% decline on coffee production. Due to rising temperatures, the projected coffee production areas are projected to shift to higher elevations. Numerous adaptive technologies have been intoduced, however adaptive capacaity of farmers are still low. This condition is exacerbated by the limited access of most farmers to climate information, markets, technology, farming credits, and climate risk management information. To overcome the problem, policy makers, stakeholders and farmers have to accelerate the adaptation practices since the climate change has occurred and will continue to happen.</p><p>Keywords: Coffee, climate change, production, adaptation Top of Form</p><p> </p><p><strong>Abstrak</strong></p><p>Kopi merupakan salah satu komoditas ekspor yang berperan strategis dalam perekonomian hampir dua juta rumah petani di Indonesia. Potensi ekspor kopi Indonesia cukup tinggi karena cita rasanya yang disukai, namun tren peningkatan produksi kopi nasional hanya 1-2% per tahun. Di sisi lain, dampak perubahan iklim juga mengancam tercapainya target peningkatan produksi. Makalah ini merupakan tinjauan dampak perubahan iklim terhadap produksi kopi dan strategi adaptasinya di Indonesia. Daerah penghasil utama kopi seperti Aceh, Sumatera Utara, Sumatera Selatan, Lampung, Bengkulu, Jawa Timur dan Sulawesi Selatan rentan terhadap dampak perubahan iklim. Meningkatnya kejadian iklim ekstrim seperti kekeringan akibat El Niño mengakibatkan penurunan produksi kopi 10%. Sebaliknya, musim hujan yang panjang akibat La Niña menurunkan produksi kopi hingga 80%. Dampak tidak langsung perubahan iklim adalah meningkatnya serangan hama penggerek buah kopi dan penyakit karat daun yang menyebabkan penurunan produksi sekitar 50%. Akibat kenaikan suhu, sentra produksi kopi diproyeksikan akan berpindah ke wilayah dengan elevasi yang lebih tinggi. Berbagai teknologi adaptasi telah dihasilkan, namun tingkat adaptasi petani kopi umumnya masih rendah. Kondisi ini diperparah oleh terbatasnya akses sebagian besar petani terhadap informasi iklim, pasar, teknologi, kredit usaha tani, dan informasi pengelolaan risiko iklim. Untuk mengatasi masalah tersebut, pengambil kebijakan, stakeholder, dan petani harus mengakselerasi upaya adaptasi karena perubahan iklim telah terjadi dan akan terus berlangsung.</p><p>Kata kunci: Kopi, perubahan iklim, produksi, adaptasi</p>

<p>Droughts and floods due to extreme climate events has caused yield loss in various regions of Indonesia, including the Provinces of Aceh and North Sumatra. An early detection model needs to be developed to anticipate the negative impacts of extreme climate event. The model may describe the association of surplus and rainfall deficits with paddy damage due to drought and flood. We used Standardized Precipitation Index (SPI) to explore drought and flood characteristics in period 1989-2016. The study aimed: (i) to analyze the relationship between SPI and paddy damage due to drought and flood events, (ii) to analyze the critical value of the duration and intensity of SPI which causes paddy damage, and (iii) to determine which districts were prone to drought and flood in the Provinces of Aceh and North Sumatra. The results concluded that SPI-3 and -6 months can better describe the frequency of drought and rice flooding. In addition, drought on paddy occured mostly if the SPI was smaller than -1 which took place within 4-5 months, whereas flood occured if the SPI was greater than 1. Short duration drought (2-3 months) were observed in five districts in Aceh (2) and North Sumatra (3). On other hand, more flood districts were identified (9 districts).</p>