Traditional knowledge, social capital, and community response to a disaster: resilience of remote communities in Fiji after a severe climatic event

Nakamura, Naohiro; Kanemasu, Yoko

doi:10.1007/s10113-020-01613-w

Cited by 32 publications

(34 citation statements)

References 40 publications

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“…Previous research has shown that iTaukei villages in Fiji engage in a traditional practice called solesolevaki (collective community effort) to mitigate damage (Movono and Becken, 2017). Such collective actions are mobilised during search and rescue, the provision of mutual assistance, and the sharing of risk, stories, and labour and non-labour (Takasaki, 2011;Yila, Weber, and Neef, 2014;Nakamura and Kanemasu, 2020). While iTaukei villages generally have a highly hierarchical nature embedded in a traditional kinbased structure and a chiefly system (Ravuvu, 1983), disaster relief has been documented as being distributed equitably, with each household receiving and giving support (Takasaki, 2011;Nakamura and Kanemasu, 2020).…”

Section: Discussionmentioning

confidence: 99%

“…Even now, Indo-Fijians' loose settlement pattern is conspicuous in rural Fiji and as such, their everyday life is not necessarily structured by kinship ties or village custom in the way that these govern rural iTaukei villages. To provide services to the community, the government appoints district advisory counsellors, who are in charge of community matters (Nacei, 2018).…”

Section: Rural Indo-fijians and Tropical Cyclone Winstonmentioning

confidence: 99%

“…Table 3 presents the cyclone signs identified by the interviewees. Existing research on cyclone signs in Fiji pinpoint various types, including: sudden growth of bamboo shoots; hornets moving their hive to a lower level; no cloud in a dark blue sky; flight and action of birds (unusual bird cry); balolo (sea worm) becoming dirty; new growth on banana plants; and the sound of the reef ( Johnston, 2015;Nakamura and Kanemasu, 2020). In our case study sites, most Indo-Fijian participants were able to recognise a cyclone sign or two; however, the variety of such knowledge shared by Indo-Fijian residents of Rakiraki was markedly limited, with most only listing heat.…”

Section: Traditional Climate Knowledge and Techniques For Disaster Mitigationmentioning

confidence: 99%

See 2 more Smart Citations

A minority group's response to a severe climatic event: a case study of rural Indo‐Fijians after Tropical Cyclone Winston in 2016

Nakamura

Kanemasu

2021

Disasters

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This paper investigates the impacts of Tropical Cyclone Winston (2016) on rural Indo-Fijians and their response to the devastation. Studies have previously examined how rural communities in Pacific Island countries respond to severe climatic events, arguing that traditional knowledge of the climate, together with indigenous techniques, contribute substantially to recovery from a disaster. Strong communal bonds have also been identified as an influencing factor. Disaster risk reduction frameworks often assume the availability of such knowledge and capital. Yet, little research has been done on how minority groups with limited access to such knowledge and capital cope with disaster-related damage. The current study shows that rural Indo-Fijians responded to the consequences of Tropical Cyclone Winston differently to indigenous Fijians, owing to relatively limited access to traditional awareness of the climate, communal labour sharing, and intra-and/or inter-community networks. The findings point to the necessity to implement a more inclusive disaster risk reduction framework.

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Section: Discussionmentioning

confidence: 99%

Section: Rural Indo-fijians and Tropical Cyclone Winstonmentioning

confidence: 99%

Section: Traditional Climate Knowledge and Techniques For Disaster Mitigationmentioning

confidence: 99%

See 1 more Smart Citation

A minority group's response to a severe climatic event: a case study of rural Indo‐Fijians after Tropical Cyclone Winston in 2016

Nakamura

Kanemasu

2021

Disasters

Self Cite

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“…In the Pacific Islands, resilience on all time frames is greatly assisted by social capital in the form of the still strong traditional culture of self-help across a community (village) (Nakamura and Kanemasu 2020 ; Neef et al 2018 ; Warrick et al 2017 ). This factor may not be so strong elsewhere.…”

Section: Discussionmentioning

confidence: 99%

Renewable energy can enhance resilience of small islands

Weir

Kumar

2020

Nat Hazards

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This paper summarizes some of the ways in which increased use of renewable energy can reduce vulnerability of nations and communities to hydro-meteorological disasters (i.e. enhance their resilience). It uses examples mainly from the small island countries of the Pacific, as the issues raised are particularly pertinent there. In particular, distributed electricity generation reduces vulnerability of supply to severe weather.

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“…Rehabilitation activities must pay attention to building construction standards, social conditions, customs, culture, and economy. Repair of public infrastructure and facilities is an activity to repair public infrastructure and facilities to meet the transportation, smooth economic activities, and the sociocultural life of the community [9].…”

Section: Rehabilitation and Reconstructionmentioning

confidence: 99%

Data Mining Applied for Community Satisfaction Prediction of Rehabilitation and Reconstruction Project (Learn from Palu Disasters)

Rifai¹

2022

Artificial Intelligence

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Natural disasters can occur anytime and anywhere, especially in areas with high disaster risk. The earthquake that followed the tsunami and liquefaction in Palu, Indonesia, at the end of 2018 had caused tremendous damage. In recent years, rehabilitation and reconstruction projects have been implemented to restore the situation and accelerate economic growth. A study is needed to determine whether the rehabilitation and reconstruction that has been carried out for three years have met community satisfaction. The results of further analysis are expected to predict the level of community satisfaction for the implementation of rehabilitation and other reconstruction. The method used in this paper is predictive modeling using a data mining (DM) approach. Data were collected from all rehabilitation and reconstruction activities in Palu, Sigi, and Donggala with the scope of the earthquake, tsunami, and liquefaction disasters. The analysis results show that the Artificial Neural Network (ANN) and the support vector machine (SVM) with a DM approach can develop a community satisfaction prediction model to implement rehabilitation and reconstruction after the earthquake-tsunami and liquefaction disasters.

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Traditional knowledge, social capital, and community response to a disaster: resilience of remote communities in Fiji after a severe climatic event

Cited by 32 publications

References 40 publications

A minority group's response to a severe climatic event: a case study of rural Indo‐Fijians after Tropical Cyclone Winston in 2016

A minority group's response to a severe climatic event: a case study of rural Indo‐Fijians after Tropical Cyclone Winston in 2016

Renewable energy can enhance resilience of small islands

Data Mining Applied for Community Satisfaction Prediction of Rehabilitation and Reconstruction Project (Learn from Palu Disasters)

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