Analysing food farming vulnerability in Kalimantan, Indonesia: Determinant factors and adaptation measures

被引:0
|
作者
Estiningtyas, Woro [1 ]
Surmaini, Elza [1 ]
Susanti, Erni [1 ]
Mulyani, Anny [2 ]
Kartiwa, Budi [3 ]
Apriyana, Yayan [1 ]
Alifia, Annisa Dhienar [4 ]
机构
[1] Natl Res & Innovat Agcy, Res Ctr Climate & Atmosphere, Bandung, Indonesia
[2] Natl Res & Innovat Agcy, Res Ctr Food Crop, Bandung, Indonesia
[3] Natl Res & Innovat Agcy, Res Ctr Limnol & Water Resources, Bandung, Indonesia
[4] Natl Res & Innovat Agcy, Res Ctr Hort & Estate Crops, Bandung, Indonesia
来源
PLOS ONE | 2024年 / 19卷 / 01期
关键词
CAPABILITY SOIL CLASSIFICATION; CLIMATE-CHANGE; LIVESTOCK PRODUCTION; SMALLHOLDER; IMPACT; SYSTEM;
D O I
10.1371/journal.pone.0296262
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
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页数:27
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