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. 2021 Apr 21;7(4):e06761. doi: 10.1016/j.heliyon.2021.e06761

Annex 2.

Vulnerability Index (LVI): Components, profiles, indicators and expected hypothesis

Component Capital Subcomponent Indicators Expected hypothesis/realtionship with vulnerabiltiy
Exposure Climate Climate variability and extrem events Long term temperature and rainfall variability which is expressed in terms of coefienceint of variation and concentration index; incidences of extreme events Variabiltiy in temperature and precipitaion as well as freqnt occurrences of exterm events will exabrates vulenrabiltiy to climate change
Sensitivity Natural Ecosystem (Biophysical environment) Percentage of people using forest-based energy for cooking; people living in malaria, frost, flooding, water logging prone areas; people living in water scare areas; People living in such areas are expecte to be more sensitive and can easily be vulerable to adverse impacts of climate change
Agricultural system Landless farmers; land fertility; crop diversity index; dependent on food aid and only on rainfed agriculture; those who rented out or sharecropped their land; found in belg dominated areas; experienced crop failure Smallholder farmers with such scinaros are excepted to be more sensetive for slight changes in climate
Water resource Dependent on unprotected source of water; experienced water-related conflicts; expericeining shortage of water for home consumption; domestic animals and irrigation Changes in climatic situation will exabrates these situations and households will be easily vulnerable to climate change induced impacts
Adaptive capacity Human Demographic Proportion of male headed households; proportion of family size with productive age group; Headed by male and having more family size in the productive age = better adaptive capacity
Knowledge and skill Educational level of HHH; having radio/mobile phone; family member having vocational training/training on small scale business/climate change/crop production; having better contact with DAs/health extension workers Having better educational level and those having means of informaton as well as training are supposed to have better knowledge and skill of adaptation stategies
Health and food HHs free of chronically ill members; financial capacity to take medical care; HHHs completed health packages; capacity to produce enough food for their family; no meal reduction due to shortage; financial capacity to fill out food deficit HHs who are free from chronically ill member, having financial capacity for midication and to buy food items; producing enough food and those who did not force to reduce meal due to scarity do have better adaptive capacity
Social Networks and relationships Providing/receiving helps; being membership of community-based organizations; being a member of producers/cooperative organizations; being leaders in such organizations Being a member of such organizations; being leaders in such organizations would give room to develop adaptive capacity
Financial Assets and wealth Land per capita; livestock assets; wealth status; access to financial institutions; no debt to pay back; beyond agriculture source of income; remittance The better having such assets, the better in building adaptive capacity
Physcial Technology Extent of using land augmenting modern inputs; irrigation access; house with corrugated sheet; using modern stoves Having better access to such technological inputs would enable farmers to have better adaptive acpacity
Infrastructure Access to all weather road/health facilities/school/veterinary services/input and output markets/telecommunication centers Households with better access to such facilities would have better adaptive capacity to climate change
Natural Land resourse Total land size (cultivable/woodlot/grazing/irrigated) Having better land resource increase the adaptive capacity

Indicators were developed (tailored with local context) based on Hahn et al. [25] and Simane et al. [5].