Climate change will greatly affect many aspects of Indonesia’s economy, society, and environment. The vulnerability of individuals to climate change will depend on their adaptive capacity and manifestations of gender inequality can affect this capacity. It is generally acknowledged that women may be more vulnerable to climate change impact than men. Therefore, gender inequality becomes the critical issue on climate change adaptation. However, it is not yet mainstreamed into climate change adaptation program in Indonesian cities. With regard to such circumstance, this study assessed the gender dimensions in the context of climate change vulnerability, and how to mainstream gender-sensitive into climate change adaptation program at the local level with a case of Cirebon, Indonesia, in urban and rural areas. Mixed methods were employed for this study by combining quantitative and qualitative analysis through explanatory and comprehensive analysis. We examined the gender differences on socio-economic condition by using the socio-ecological model with various variables consisting of literacy and education, livelihood, access to and control over resources, health, mobility, female-headed household, and roles in decision-making. The results highlight that there are different gender’s adaptive capacities between urban and rural areas to climate change, and gender mainstreaming in climate change adaptation in an urban area is easier to be implemented than in a rural area which influenced by the level of society and policymakers ability and awareness.
Climate hazards that affect drought could have an impact on agricultural production. Cirebon Regency as one of West Java's food supply areahas experienced hydrological drought because ofclimate variability. Hence, there were many rice fieldswhich lack of water sources for irrigation and resulted in crop failure. Accordingly, this study aims to explore the historical and projection of drought periods as well as the severity of droughts in Cirebon Regency, Indonesia. Interpretation of weather and climate data and Standardized Precipitation Index (SPI) were employed for methods of this studyby using rainfall data only. Based on baseline data (1986-2017) from Jatiwangi Meteorological Stationand Global Circulation Model (GCM) projection simulation (2020-2045) under the Representative Concentration Pathways (RCP) 4.5 scenario, the SPI analysis results show that the drought periodsare predicted to shift in the future with increasing drought severity. This study concludes that climate variability that affects future dry rainfall will still happen in uncertain month periods.Therefore, climatic information is needed in the vulnerable area to reduce the potential impactsthat will occur in the future.
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