Characteristics of survey respondents.

As a result of plans to relocate the Indonesian capital city to East Kalimantan province, Kalimantan is expected to develop rapidly and the surrounding regencies and provinces will become food support areas for the new capital. However, the vulnerability of food farming in Kalimantan is a concern that must be addressed to ensure food security. This study aims to assess the vulnerability of food farming at the regency level of the island of Kalimantan, to assess the determinant factors of the food farming vulnerability and to compose adaptation measures that can reduce vulnerability. Socio economic, climate, water and land data are sorted and analyzed to represent the level of sensitivity and exposure index (SEI) and adaptive capacity index (ACI). Locations with ‘High’ and ‘Very High’ levels of farming vulnerability become interview sites with a total of 150 respondents. The results of the interviews strengthen the results of the vulnerability analysis which helps to determine the condition of farmers and food farming in vulnerable locations. The results indicated ‘Very High’ and ‘High’ level of vulnerability in 14 regencies/cities. Floods are climate-related disasters that most often affect farmers surveyed (46%), followed by droughts (30%) and pest attacks (24%) with significant impacts (49%). The identification of the determinant factors becomes the basis for adaptive measures to support decision-makers, local practitioners, and farmers by highlighting local challenges and proposing local-specific adaptation strategies.

随着印度尼西亚首都东迁至东加里曼丹省的规划推进，加里曼丹地区预计将迎来快速发展，其周边区县与省份亦将成为新首都的粮食保障支撑区域。然而，加里曼丹地区粮食种植业的脆弱性问题，是保障区域粮食安全必须应对的核心关切。本研究旨在评估加里曼丹岛各区县层面的粮食种植业脆弱性，剖析粮食种植业脆弱性的驱动因子，并构建可降低脆弱性的适应性应对策略。研究整理并分析了社会经济、气候、水资源与土地相关数据，以此构建敏感性与暴露度指数（Sensitivity and Exposure Index, SEI）以及适应性能力指数（Adaptive Capacity Index, ACI）。本研究选取种植业脆弱性等级为"高"与"极高"的区域作为访谈站点，累计访谈150名受访者。访谈结果进一步验证了脆弱性分析的结论，有助于明晰脆弱区域内农户与粮食种植业的实际状况。分析结果显示，加里曼丹岛共有14个区县/城市的种植业脆弱性等级为"极高"与"高"。在受访农户中，洪涝是最频发的气候相关灾害（占比46%），其次为干旱（30%）与病虫害侵袭（24%），其中49%的受访者表示上述灾害带来了严重影响。本研究对驱动因子的识别结果可为适应性措施制定提供依据，通过梳理当地实际挑战并提出针对性的本土化适应策略，为决策者、基层从业者与农户提供参考。