Regional Sustainability ›› 2024, Vol. 5 ›› Issue (4): 100181.doi: 10.1016/j.regsus.2024.100181cstr: 32279.14.REGSUS.2024008
• Full Length Article • Previous Articles Next Articles
Septri WIDIONOa,b,*(), Ekawati Sri WAHYUNIc, Lala M. KOLOPAKINGc, Arif SATRIAc
Received:
2023-11-17
Revised:
2024-03-29
Accepted:
2024-11-20
Published:
2024-12-30
Online:
2024-12-19
Contact:
Septri WIDIONO
E-mail:septriwidiono@unib.ac.id
Septri WIDIONO, Ekawati Sri WAHYUNI, Lala M. KOLOPAKING, Arif SATRIA. Livelihood vulnerability of indigenous people to climate change around the Kerinci Seblat National Park in Bengkulu, Indonesia[J]. Regional Sustainability, 2024, 5(4): 100181.
Table 1
Main components and subcomponents of the livelihood vulnerability index (LVI)."
Main component | Subcomponent | Status in LVI1) | Subcomponent explanation | Questionnaire item | Source | ||
---|---|---|---|---|---|---|---|
Socio-demographic profile | (1) Dependency ratio | Modified | The ratio of people under 15 and 65 years old and above to those aged 15-64 years old. | List of household characteristics | Badan Pusat Statistik Indonesian ( | ||
(2) Percentage of female heads of households (%) | Same | Percentage of households where the head of household is female. If the male as head of the household leaves home more than six months per year, then the female is counted as the head of the household. | Idem | Hahn et al. ( | |||
(3) Percentage of households where the head of household has the highest education in junior high school (%) | Modified | - | Idem | Presidential Instruction Number 1 of 1994 (https://peraturan.bpk.go.id/Details/292993/inpres-no-1-tahun-1994) | |||
(4) Ratio of non-employed household members | New | Ratio of non-working household members to working household members. | Idem | Jamshidi et al. ( | |||
(5) Percentage of households with orphans (%) | Same | Percentage of households with at least one orphan living in their home. An orphan is a child under 18 years old who has lost one or both parents. | Are any children under 18 years old from other families living in his/her home because one or both parents have died? | Law Number 23 of 2002 (https://peraturan.bpk.go.id/Details/44473/uu-no-23-tahun-2002) | |||
Livelihood strategy | (1) Percentage of households with family members working in different communities (%) | Same | Percentage of households that report at least one family member working outside the community for their primary work activity. | Are there any household members working outside the area? | Hahn et al. ( | ||
(2) Ratio of rice yields sold to those consumed alone | New | Comparison of rice crops sold with those consumed by themselves. Calculated only on households that have rice farming. | Calculated from the list of rice farm production | Minot et al. ( | |||
(3) Percentage of households that depend solely on agriculture as a source of income (%) | Modified | Determined based on the household typology using 75.000% criteria of households that depend solely on agriculture as a source of income. The sources of farm income consist of annual crop farming, perennial crops, fisheries, and livestock. If a household has at least 75.000% of income depending solely on agriculture, it is categorized as an agriculturally dependent household2). | Complete enumeration of household net income | Ellis ( | |||
(4) Livelihood diversity index | Modified | Inversion of the livelihood diversity index (1/(livelihood diversity index +1)) | Complete enumeration of household net income | Liu et al. ( | |||
(5) Area of agricultural land owned (hm2/household) | New | Inversion of the area of agricultural land owned (1/agricultural land+1). | Calculated from the list of land tenure | Acosta-Michlik and Espaldon ( | |||
Social network | (1) Ratio of the average receiving to giving | Modified | Ratio of the number of types of help received by the household in the past month+1 to the number of types of help provided by the household to others in the past month+13). | Has his/her family received the following assistance from anyone else in the past month? Has his/her family given the following help to anyone else in the past month? | Hahn et al. ( | ||
(2) Ratio of the average borrowing money to lending money | Same | The ratio of households that borrowed money in the past month to households that lent money in the past month, for example, if a household borrowed money but did not lend money, the ratio=2/1 and if they lent money but borrowed nothing, the ratio=1/2. | Has his/her family borrowed money in the past month? Has his/her family ever lent money in the past month? | Hahn et al. ( | |||
(3) Social relation index | Modified | Inversion of the number of parties who have interacted with the head of household in the last six months4). | Over the past six months, has he/she interacted with the following parties? | Adger ( | |||
(4) Digital participation index | New | Inversion of the digital participation index (1/digital participation index+1). | The list of questions/statements to measure the digital participation index is divided into four parts: motivation, material access, skills, and utilization of digital technology. | Van Dijk and van Deursen ( | |||
Health | (1) Average time taken to go to a healthcare facility (min) | Same | Average time it takes to reach the nearest health facility5). | How long does it take to reach the nearest health facility? | Hahn et al. ( | ||
(2) Percentage of households whose family members had chronic diseases (%) | Same | Percentage of households that report at least one family member suffering from a chronic disease. Chronic diseases are defined subjectively by respondents. | Does any of his/her family members suffer from chronic illnesses? | Hahn et al. ( | |||
(3) Percentage of households where family members have not worked or attended school in the last two weeks due to illness (%) | Same | Percentage of households that report at least one family member is out of work or absent from school due to illness in the past two weeks. | In the past two weeks, has he/she or any of his/her family members been out of work or absent from school due to illness? | Hahn et al. ( | |||
(4) Percentage of households that have experienced malaria, dengue, or typhus during 2020-2022 (%) | Modified | Percentage of households experienced malaria or dengue during 2020-2022. | During 2020-2022, has anyone in your family ever experienced malaria or dengue? | Hahn et al. ( | |||
Food | (1) Percentage of households whose food needs depend on family farms (%) | Same | Percentage of households that get their foodstuffs mainly from their farms. | In general, where does his/her family get most of its food? His/her farm or buy food. | Hahn et al. ( | ||
(2) Average number of months households struggling to find food (month) | Same | - | During a year, how many months is it difficult to get food? | Hahn et al. ( | |||
(3) Average crop diversity index | Same | Inversion of the number of food crops or fruits grown by households+1. For example, households that grow pumpkins, corn, beans, and cassava have an average crop diversity index: 1/(4+1)=0.20. | Mention the types of crops cultivated by households | Hahn et al. ( | |||
(4) Per capita storage of rice (kg/person) | Modified | Ratio of stored rice to the number of family members in households that cultivate rice. | Calculated from the list of rice farm production | World Food Summit ( | |||
(5) Percentage of households that do not store rice seeds (%) | Same | - | Idem | Hahn et al. ( | |||
Water | (1) Percentage of households reporting water conflicts (%) | Same | Percentage of households that report having heard of water conflicts in their communities. | During this year, did he/she know of any conflicts about water use in this region? | Hahn et al. ( | ||
(2) Percentage of households utilizing natural water sources (%) | Same | Percentage of households that report a creek or river as their primary water source. | Where does he/she obtain water for his/her household needs? | Hahn et al. ( | |||
(3) Average time to water source (min) | Same | Average time it takes households to travel to their primary water source. | How long does it take to get to the water source? | Hahn et al. ( | |||
(4) Percentage of households that do not have a consistent water supply (%) | Same | Percentage of households reporting that water is not available at their primary water source every day. | Is water always available? | Hahn et al. ( | |||
(5) Average water storage per household (L/household) | Same | Inversion of water storage per household (1/average number of water stored per household +1). | Approximately how much water is stored at home? | Hahn et al. ( | |||
Natural disasters and climate variability | (1) Average number of floods, landslides, and droughts over the past six years | Modified | Total number of flood and land slide events reported by households during 2016-2022. | How often have floods, landslides, droughts or storms occurred in the region during 2016-2022? | Hahn et al. ( | ||
(2) Percentage of households that do not receive delayed natural disaster warnings (%) | Same | Percentage of households that did not receive warnings about the worst floods and landslides in the past six years. | Did he/she receive an early warning of the disaster? | Hahn et al. ( | |||
(3) Percentage of households with the worst injuries or deaths due to natural disasters in the last six years (%) | Same | Percentage of households reporting injuries or deaths suffered by their family members due to the worst flood, landslide, drought, or storm in the last six years. | Did anyone in his/her family become injured or die due to the disaster? | Hahn et al. ( | |||
(4) Mean standard deviation of the average daily maximum temperature by month (°C) | Same | Standard deviation of the average daily maximum temperature per month of the last 11 a at the district level. | Climate data from Indonesian Statistic during 2012-2022 is available6). | Hahn et al. ( | |||
(5) Mean standard deviation of the average daily minimum temperature by month (°C) | Same | Standard deviation of the average daily minimum temperature per month of the last 11 a. | Idem | Hahn et al. ( | |||
(6) Mean standard deviation of the average precipitation by month (mm) | Same | Standard deviation of the average monthly precipitation in the last 11 a. | Idem | Hahn et al. ( |
Table 2
LVI in Embong and Topos."
Component | Subcomponent | Original data | Subcomponent value (Sd) | Main component value (Md) | |||||
---|---|---|---|---|---|---|---|---|---|
Minimum | Maximum | Embong | Topos | ||||||
Embong | Topos | Embong | Topos | ||||||
Socio demographic profile | Dependency ratio | 0.000 | 2.000 | 0.408 | 0.253 | 0.204 | 0.127 | 0.236 | 0.234 |
Percentage of female heads of households (%) | 0.000 | 100.000 | 15.873 | 4.819 | 0.159 | 0.048 | |||
Percentage of households where the head of household has the highest education in junior high school (%) | 0.000 | 100.000 | 52.381 | 53.012 | 0.524 | 0.530 | |||
Ratio of non-employed household members | 0.000 | 3.000 | 0.785 | 1.283 | 0.262 | 0.428 | |||
Percentage of households with orphans (%) | 0.000 | 100.000 | 3.175 | 3.614 | 0.032 | 0.036 | |||
Livelihood strategy | Percentage of households with family members working in different communities (%) | 0.000 | 100.000 | 11.111 | 9.639 | 0.111 | 0.096 | 0.236 | 0.296 |
Ratio of rice yields sold to those consumed alone | 0.000 | 21.000 | 1.745 | 0.542 | 0.083 | 0.026 | |||
Percentage of households that depend solely on agriculture as a source of income (%) | 0.000 | 100.000 | 30.159 | 71.084 | 0.302 | 0.711 | |||
Livelihood diversity index | 0.392 | 1.000 | 0.500 | 0.649 | 0.178 | 0.422 | |||
Area of agricultural land owned (hm2/household) | 0.167 | 1.000 | 0.588 | 0.356 | 0.506 | 0.227 | |||
Social network | Ratio of the average receiving to giving | 0.333 | 3.000 | 1.426 | 0.978 | 0.410 | 0.242 | 0.467 | 0.441 |
Ratio of the average borrowing to lending money | 0.500 | 2.000 | 1.095 | 1.223 | 0.397 | 0.482 | |||
Social relation index | 0.100 | 0.500 | 0.298 | 0.271 | 0.495 | 0.426 | |||
Digital participation index | 0.503 | 1.000 | 0.785 | 0.807 | 0.567 | 0.612 | |||
Health | Average time taken to go to a healthcare facility (min) | 1.000 | 15.000 | 3.937 | 5.819 | 0.210 | 0.344 | 0.255 | 0.216 |
Percentage of households whose family members had chronic diseases (%) | 0.000 | 100.000 | 7.937 | 3.614 | 0.079 | 0.036 | |||
Percentage of households where family members have not worked or attended school in the last 2 weeks due to illness (%) | 0.000 | 100.000 | 36.508 | 31.579 | 0.365 | 0.316 | |||
Percentage of households exposed to malaria or dengue during 2020-2022 (%) | 0.000 | 100.000 | 36.508 | 16.867 | 0.365 | 0.169 | |||
Food | Percentage of households whose food needs depend on family farms (%) | 0.000 | 100.000 | 0.000 | 2.410 | 0.000 | 0.024 | 0.190 | 0.255 |
Average number of months households struggling to find food (month) | 0.000 | 8.000 | 0.635 | 3.675 | 0.079 | 0.459 | |||
Average crop diversity index | 0.100 | 0.500 | 0.298 | 0.256 | 0.496 | 0.390 | |||
Per capita storage of rice (kg/person) | 0.001 | 0.007 | 0.003 | 0.003 | 0.373 | 0.404 | |||
Percentage of households that do not store rice seeds (%) | 0.000 | 100.000 | 0.000 | 0.000 | 0.000 | 0.000 | |||
Water | Percentage of households reporting water conflicts (%) | 0.000 | 100.000 | 1.587 | 24.096 | 0.016 | 0.241 | 0.105 | 0.118 |
Percentage of households utilizing natural water sources (%) | 0.000 | 100.000 | 30.159 | 0.000 | 0.302 | 0.000 | |||
Average time to water source | 1.000 | 11.000 | 1.746 | 1.000 | 0.075 | 0.000 | |||
Percentage of households that do not have a consistent water supply (%) | 0.000 | 100.000 | 6.349 | 4.819 | 0.063 | 0.048 | |||
Average water storage per household (L/household) | 0.001 | 0.167 | 0.012 | 0.051 | 0.067 | 0.301 | |||
Natural disasters and climate variability | Average number of floods, landslides, and droughts | 0.000 | 20.000 | 12.571 | 0.229 | 0.629 | 0.011 | 0.433 | 0.338 |
Percentage of households that do not receive delayed natural disaster warnings (%) | 0.000 | 100.000 | 93.651 | 100.000 | 0.937 | 1.000 | |||
Percentage of households with the worst injuries or deaths due to natural disasters (%) | 0.000 | 100.000 | 1.587 | 0.000 | 0.016 | 0.000 | |||
Mean standard deviation of the average daily maximum temperature by month (°C) | 0.379 | 1.230 | 0.712 | 0.712 | 0.392 | 0.392 | |||
Mean standard deviation of the average daily minimum temperature by month (°C) | 0.257 | 1.203 | 0.507 | 0.507 | 0.264 | 0.264 | |||
Mean standard deviation of average precipitation by month (mm) | 85.574 | 219.266 | 133.813 | 133.813 | 0.361 | 0.361 | |||
LVI (Embong)=0.274; LVI (Topos)=0.270 |
Table 3
Results of LVI referencing the Intergovernmental Panel on Climate Change (LVI-IPCC) model in Embong and Topos."
Contributing factor | Main component | Main component value (Md) | Number of subcomponents | Contributing factor value (CF) | LVI-IPCC value | |||
---|---|---|---|---|---|---|---|---|
Embong | Topos | Embong | Topos | Embong | Topos | |||
Adaptive capacity | Socio-demographic profile | 0.600 | 0.586 | 5 | 0.479 | 0.452 | -0.008 | -0.022 |
Livelihood strategy | 0.505 | 0.421 | 5 | |||||
Social network | 0.294 | 0.324 | 4 | |||||
Sensitivity | Health | 0.255 | 0.216 | 4 | 0.178 | 0.195 | ||
Food | 0.190 | 0.255 | 5 | |||||
Water | 0.105 | 0.118 | 5 | |||||
Exposure | Natural disasters and climate variability | 0.433 | 0.338 | 6 | 0.433 | 0.338 |
Table 4
Subcomponents requiring more attention in Embong and Topos."
Component | Subcomponent | |
---|---|---|
Embong | Topos | |
Socio-demographic profile | Percentage of households where the head of household has the highest education in junior high school | Percentage of households where the head of household has the highest education in junior high school |
Ratio of non-employed household members | Ratio of non-employed household members | |
Livelihood strategy | Percentage of households that depend solely on agriculture as a source of income | Percentage of households that depend solely on agriculture as a source of income |
Area of agricultural land owned | Livelihood diversity index | |
Social network | Social relation index | Average ratio of borrowing to lending money |
Digital participation index | Digital participation index | |
Health | Percentage of households where family members have not worked or attended school in the last two weeks due to illness | Average time taken to go to a healthcare facility |
Percentage of households exposed to malaria or dengue during 2020-2022 | Percentage of households where family members have not worked or attended school in the last two weeks due to illness | |
Food | Average crop diversity index | Average number of months households struggling to find food |
Average crop diversity index | ||
Per capita storage of rice | Per capita storage of rice | |
Water | Percentage of households utilizing natural water sources | Percentage of households reporting water conflicts |
Average number of liters of water stored per household | ||
Natural disasters and climate variability | Average number of floods, landslides, and droughts | Percentage of households that do not receive delayed natural disaster warnings |
Mean standard deviation of the average daily maximum temperature by month | ||
Percentage of households that do not receive delayed natural disaster warnings | Mean standard deviation of the average precipitation per month |
[1] | Acosta-Michlik, L., Espaldon, V., 2008. Assessing vulnerability of selected farming communities in the Philippines based on a behavioural model of agent’s adaptation to global environmental change. Glob. Environ. Change. 18(4), 554-563. |
[2] | Adger, W.N., 2003. Social capital, collective action, and adaptation to climate change. Econ. Geogr. 79(4), 387-404. |
[3] | Adger, W.N., 2006. Vulnerability. Glob. Environ. Change. 16(3), 268-281. |
[4] | Adu, D.T., Kuwornu, J.K.M., Anim-Somuah, H., et al., 2018. Application of livelihood vulnerability index in assessing smallholder maize farming households’ vulnerability to climate change in Brong-Ahafo region of Ghana. Kasetsart Journal of Social Sciences. 39(1), 22-32. |
[5] | Al Dirani, A., Abebe, G.K., Bahn, R.A., et al., 2021. Exploring climate change adaptation practices and household food security in the Middle Eastern context: a case of small family farms in Central Bekaa, Lebanon. Food Secur. 13(4), 1029-1047. |
[6] | Anwar, G., Ardha, T., Susatya, A., et al., 2023. Diversity of spice plants in the MADAPI Forest, Kerinci Seblat National Park, Rejang Lebong Bengkulu. E3S Web of Conferences. 373, 05006, doi: 10.1051/e3sconf/202337305006. |
[7] | Barnett, J., 2020. Global environmental change II: Political economies of vulnerability to climate change. Prog. Hum. Geogr. 44(6), 1172-1184. |
[8] |
Cardoso, P.G., Raffaelli, D., Pardal, M.A., 2008. The impact of extreme weather events on the seagrass Zostera noltii and related Hydrobia ulvae population. Mar. Pollut. Bull. 56(3), 483-492.
doi: 10.1016/j.marpolbul.2007.11.006 pmid: 18164733 |
[9] | Central Statistics Agency of Lebong Regency, 2013-2023. Lebong Regency Regional Statistics. Jakartat: Badan Pusat Statistik (BPS) Kabupaten Lebong. |
[10] | Chambers, R., 1989. Vulnerability, coping and policy: Editorial introduction. IDS Bulletin. 20(2), 1-7. |
[11] | Chambers, R., Conway, G.R., 1992. Sustainable Rural Livelihoods: Practical Concepts for the 21st Century. Brighton: Institute for Development Studies, 296. |
[12] | Chambers, R., 1995. Poverty and livelihoods: Whose reality counts? Environment and Urbanization. 7(1), 173-204. |
[13] | Dabbert, T.A., Pauli, D., Sheetz, R., et al., 2017. Influences of the combination of high temperature and water deficit on the heritabilities and correlations of agronomic and fiber quality traits in upland cotton. Euphytica. 213(1), 1-17. |
[14] | Dargin, J., Berk, A., Mostafavi, A., 2020. Assessment of household-level food-energy-water nexus vulnerability during disasters. Sust. Cities Soc. 62, 102366, doi: 10.1016/j.scs.2020.102366. |
[15] | Das, M., Das, A., Momin, S., et al., 2020. Mapping the effect of climate change on community livelihood vulnerability in the riparian region of Gangatic Plain, India. Ecol. Indic. 119, 106815, doi: 10.1016/j.ecolind.2020.106815. |
[16] | Das, M., Das, A., Pandey, R., 2022. Exploring nexus between ecosystem services and livelihood dependency for sustainable ecosystem management in lower Gangetic plains, Eastern India. Environ. Sci. Poll. Res. 29(42), 63692-63708. |
[17] | Dendir, Z., Simane, B., 2019. Livelihood vulnerability to climate variability and change in different agroecological zones of Gurage Administrative Zone, Ethiopia. Prog. Disaster Sci. 3, 100035, doi: 10.1016/j.pdisas.2019.100035. |
[18] | Dumenu, W.K., Takam, T.X., 2020. Social vulnerability of smallholder farmers to climate change in Zambia: The applicability of social vulnerability index. SN Appl. Sci. 2(3), 436, doi: 10.1007/s42452-020-2227-0. |
[19] | Ellis, F., 2000. Rural Livelihood and Diversity in Developing Countries. Oxford: Oxford University Press, 28-50, 58-59. |
[20] | Escarcha, J.F., Lassa, J.A., Palacpac, E.P., et al., 2020. Livelihoods transformation and climate change adaptation: The case of smallholder water buffalo farmers in the Philippines. Environ. Dev. 33, 100468, doi: 10.1016/j.envdev.2019.100468. |
[21] | Etwire, P.M., Al-Hassan, R.M., Kuwornu, J.K.M., 2013. Application of livelihood vulnerability index in assessing vulnerability to climate change and variability in Northern Ghana. J. Environ. Earth Sci. 3(2), 157-170. |
[22] | Gerling, C., Drechsler, M., Keuler, K., et al., 2023. Time to consider the timing of conservation measures: Designing cost-effective agri-environment schemes under climate change. Agric. Resour. Econ. Rev. 52(2), 231-249. |
[23] | Guo, S.L., Lin, L., Liu, S.Q., et al., 2019. Interactions between sustainable livelihood of rural household and agricultural land transfer in the mountainous and hilly regions of Sichuan, China. Sustain. Dev. 27(4), 725-742. |
[24] | Hahn, M.B., Riederer, A.M., Foster, S.O., 2009. The livelihood vulnerability index: A pragmatic approach to assessing risks from climate variability and change-A case study in Mozambique. Glob. Environ. Change. 19(1), 74-88. |
[25] | Helmi, H., Djafri, D., Mutiani, C., et al., 2021. Indigenous people in the dynamics of land use changes, forest fires, and haze in Riau Province, Indonesia. In: Ullah, R., Sharma, S., Inoue, M., (eds.). Natural Resources Governance in Asia. Amsterdam: Elsevier Inc., 291-308. |
[26] | Hooghe, M., Oser, J., 2015. Internet, television and social capital: The effect of ‘screen time’ on social capital. Inf. Commun. Soc. 18(10), 1175-1199. |
[27] | Huggel, C., Clague, J.J., Korup, O., 2012. Is climate change responsible for changing landslide activity in high mountains? Earth Surf. Process. Landf. 37(1), 77-91. |
[28] | Igbatayo, S.A., Eslamian, S., Babalola, O.O., et al., 2022. Strengthening climate resilience and disaster risk reduction:Case study of the Sahel Adaptive Social Protection. In: Eslamian, S., Eslamian, F., (eds.). Disaster Risk Reduction for Resilience:Disaster and Social Aspects. Switzerland: Springer International Publishing, 221-243. |
[29] | IPCC (Intergovernmental Panel on Climate Change), 2007. Climate Change 2007:Impacts, Adaptation and Vulnerability:Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press, 883. |
[30] | Jamshidi, O., Asadi, A., Kalantari, K., et al., 2019. Vulnerability to climate change of smallholder farmers in the Hamadan Province, Iran. Clim. Risk Manag. 23, 146-159. |
[31] | Kaczan, D.J., Orgill-Meyer, J., 2020. The impact of climate change on migration: A synthesis of recent empirical insights. Clim. Change. 158(3), 281-300. |
[32] | Karyadi, H., Pratiwi, D.I., Danis, E.H., et al., 2018. Taman Nasional Kerinci Seblat. Jambi: Balai Besar Taman Nasional Kerinci Seblat, 7. |
[33] | Katuwal, H.B., Sharma, H.P., Rokka, P., et al., 2023. The effects of climate and land use change on the potential distribution and nesting habitat of the Lesser Adjutant in Nepal. Avian Res. 14(3), 100105, doi: 10.1016/j.avrs.2023.100105. |
[34] | Laitonjam, N., Singh, R., Feroze, S.M., 2018. Vulnerability to climate change: Review of conceptual framework. Econ. Aff. 63(2), doi: 10.30954/0424-2513.2.2018.25. |
[35] | Le, S.T., Vo, C.D., 2021. The livelihood adaptability of households under the impact of climate change in the Mekong Delta. J. Agribus. Dev. Emerg. Econ. 11(1), 7-26. |
[36] | Leal Filho, W., May, J., May, M., et al., 2023. Climate change and malaria: Some recent trends of malaria incidence rates and average annual temperature in selected sub-Saharan African countries from 2000 to 2018. Malaria J. 22(1), 248, doi: 10.1186/s12936-023-04682-4. |
[37] | Leo, S., Supriatna, J., Mizuno, K., et al., 2022. Indigenous Dayak Iban customary perspective on sustainable forest management, West Kalimantan, Indonesia. Biodiversitas. 23(1), 424-435. |
[38] | Liu, H.Y., Hao, H.G., Hu, X.J., et al., 2020. Livelihood diversification of farm households and its impact on cultivated land utilization in agro-pastoral ecologically-vulnerable areas in the Northern China. Chin. Geogr. Sci. 30(2), 279-293. |
[39] | Lucini, B., 2014. Disaster Resilience from a Sociological Perspective:Exploring Three Italian Earthquakes as Models for Disaster Resilience Planning. Switzerland: Springer International Publishing, 20-28. |
[40] | Madhuri, Tewari, H.R., Bhowmick, P.K., 2015. Livelihood vulnerability index analysis: An approach to study vulnerability in the context of Bihar. Jamba-J. Disaster Risk Stud. 6(1), 127, doi: 10.4102/jamba.v6i1.127. |
[41] | Maguire, B., Cartwright, S., 2008. Assessing a Community’s Capacity to Manage Change: A Resilience Approach to Social Assessment. Canberra: Australia Bureau of Rural Sciences, 6-7. |
[42] | Mai, N.T., Truong, D.D., 2022. Farming households’ perception on natural disaster impacts to livelihoods and adaptation practices: A case study of coastal provinces in Central Vietnam. International Journal of Sustainable Development and Planning. 17(2), 579-592. |
[43] | Mao, S.X., Qiu, S., Li, T., et al., 2020. Rural households’ livelihood strategy choice and livelihood diversity of main ethnic minorities in Chongqing, China. Sustainability. 12(19), 8166, doi: 10.3390/su12198166. |
[44] | Mavhura, E., Manyena, B., Collins, A.E., 2017. An approach for measuring social vulnerability in context: The case of flood hazards in Muzarabani district, Zimbabwe. Geoforum. 86, 103-117. |
[45] |
Mekonnen, Z., Woldeamanuel, T., Kassa, H., 2019. Socio-ecological vulnerability to climate change/variability in central rift valley, Ethiopia. Adv. Clim. Chang. Res. 10(1), 9-20.
doi: 10.1016/j.accre.2019.03.002 |
[46] | Minot, N., Epprecht, M., Anh, T.T.T., et al., 2006. Income Diversification and Poverty in the Northern Uplands of Vietnam. Washington: International Food Policy Research Institute (IFPRI), 145. |
[47] | Mondal, M., Paul, S., Mukhopadhyay, A., et al., 2023. Evaluating rural poverty and livelihood diversification in the context of climate-induced extreme events in coastal area: Insights from Indian Sundarban. Reg. Stud. Mar. Sci. 67, 103191, doi: 10.1016/j.rsma.2023.103191. |
[48] | Motsholapheko, M.R., Ngwenya, B.N., 2021. Access to water resources and household vulnerability to Malaria in the Okavango Delta, Botswana. In: Leal Filho, W., Oguge, N., Ayal, D., (eds.). African Handbook of Climate Change Adaptation. Switzerland: Springer International Publishing, 1227-1246. |
[49] | Mulyasari, G., Waluyati, L.R., Suryantini, A., 2020. Livelihood vulnerability to climate change of fishermen in the coastal area of Bengkulu Province, Indonesia. Aacl Bioflux. 13(3), 1242-1254. |
[50] | Ntali, Y.M., Lyimo, J.G., 2022. Community livelihood vulnerability to drought in semi-arid areas of northern Cameroon. Discov. Sustain. 3(1), 22, doi: 10.1007/s43621-022-00089-4. |
[51] | Omerkhil, N., Chand, T., Valente, D., et al., 2020. Climate change vulnerability and adaptation strategies for smallholder farmers in Yangi Qala District, Takhar, Afghanistan. Ecol. Indic. 110, 105863, doi: 10.1016/j.ecolind.2019.105863. |
[52] | Pandey, R., Jha, S.K., 2012. Climate vulnerability index-measure of climate change vulnerability to communities: A case of rural Lower Himalaya, India. Mitig. Adapt. Strateg. Glob. Chang. 17(5), 487-506. |
[53] | Piya, L., Maharjan, K.L., Joshi, N.P., 2019. Climate change and rural livelihoods in developing countries. In: Piya, L., Maharjan, K.L., Joshi, N.P., (eds.). Socio-Economic Issues of Climate Change:A Livelihood Analysis from Nepal. Switzerland: Springer International Publishing, 11-33. |
[54] | Robinson, L., Cotten, S.R., Ono, H., et al., 2015. Digital inequalities and why they matter. Info. Commun. Soc. 18(5), 569-582. |
[55] | Ryan, T.P., 2013. Sample Size Determination and Power. New Jersey: John Wiley & Sons, 19-20. |
[56] | Sadekin, M.N., Islam, R., Ali, J., et al., 2021. Assessing the impact of climate change on small-scale fisheries livelihood vulnerability index. Academy of Strategic Management Journal. 20(4), 1-13. |
[57] | Sarkar, R., Vogt, J., 2015. Drinking water vulnerability in rural coastal areas of Bangladesh during and after natural extreme events. Int. J. Disaster Risk Reduct. 14, 411-423. |
[58] | Savage, M., 2013. Digital fields, networks and capital:Sociology beyond structures and fluids. In: Orton-Johnson, K., Prior, N., (eds.). Digital Sociology:Critical Perspectives. London: Palgrave Macmillan, 139-147. |
[59] | Scoones, I., 2015. Sustainable Livelihood and Rural Development. Halifax: Fernwood Publishing, 34-37. |
[60] | Semeraro, T., Scarano, A., Leggieri, A., et al., 2023. Impact of climate change on agroecosystems and potential adaptation strategies. Land. 12(6), 1117, doi: 10.3390/land12061117. |
[61] | Shah, K.U., Dulal, H.B., Johnson, C., et al., 2013. Understanding livelihood vulnerability to climate change: Applying the livelihood vulnerability index in Trinidad and Tobago. Geoforum. 47, 125-137. |
[62] | Shen, J.Y., Duan, W., Wang, Y.Q., et al., 2022. Household livelihood vulnerability to climate change in West China. Int. J. Environ. Res. Public Health. 19(1), 551, doi: 10.3390/ijerph19010551. |
[63] | Sujakhu, N.M., Ranjitkar, S., He, J., et al., 2019. Assessing the livelihood vulnerability of rural indigenous households to climate changes in Central Nepal, Himalaya. Sustainability. 11(10), 2977, doi: 10.3390/su11102977. |
[64] | Suryanto, S., Rahman, A., 2019. Application of livelihood vulnerability index to assess risks for farmers in the Sukoharjo regency and Klaten regency, Indonesia. Jamba-J. Disaster Risk Stud. 11(1), a739, doi: 10.4102/jamba.v11i1.739. |
[65] | Taylor, J.E., Poleacovschi, C., Perez, M.A., 2023. Climate change adaptation trends among indigenous peoples: A systematic review of the empirical research focus over the last 2 decades. Mitig. Adapt. Strateg. Glob. Chang. 28(6), 29, doi: 10.1007/s11027-023-10063-8. |
[66] | UNESCO (United Nations Educational,Scientific and Cultural Organization), 2023. Tropical Rainforest Heritage of Sumatra - UNESCO World Heritage Centre. [2023-10-16]. https://whc.unesco.org/en/list/1167/. |
[67] | van Dijk, J.A.G.M., 2013. Inequalities in the network society. In: Orton-Johnson, K., Prior, N., (eds.). Digital Sociology:Critical Perspectives. London: Palgrave Macmillan, 105-124. |
[68] | van Dijk, J.A.G.M., van Deursen, A.J.A.M., 2014. Digital Skills: Unlocking the Information Society. London: Palgrave Macmillan, 43-60. |
[69] | Watts, M.J., Bohle, H.G., 1993. The space of vulnerability: The causal structure of hunger and famine. Prog. Hum. Geogr. 17(1), 43-67. |
[70] | World, Food, 1996. Rome Declaration on World Food Security. [2023-10-16]. https://www.fao.org/3/w3613e/w3613e00.htm. |
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