Nexus between vulnerability and adaptive capacity of drought-prone rural households in northern Bangladesh

被引:22
|
作者
Salam, Roquia [1 ]
Towfiqul Islam, Abu Reza Md. [1 ]
Shill, Badhon Kumar [1 ]
Monirul Alam, G. M. [2 ,3 ]
Hasanuzzaman, Md. [1 ]
Morshedul Hasan, Md. [4 ]
Ibrahim, Sobhy M. [5 ]
Shouse, Roger C. [6 ]
机构
[1] Begum Rokeya Univ, Dept Disaster Management, Rangpur 5400, Bangladesh
[2] Bangabandhu Sheikh Mujibur Rahman Agr Univ, Dept Agribusiness, Gazipur, Bangladesh
[3] Univ Southern Queensland, Sch Commerce, Melbourne, Vic, Australia
[4] Univ Sci & Technol China, Sch Management, Hefei 230026, Anhui, Peoples R China
[5] King Saud Univ, Coll Sci, Dept Biochem, POB 2455, Riyadh 11451, Saudi Arabia
[6] Sichuan Univ, Program Publ Adm, Chengdu, Peoples R China
关键词
Vulnerability index; Capacity index; Jackknife test; Co-occurrence network analysis; Support vector machine; Northern Bangladesh; CLIMATE-CHANGE VULNERABILITY; FLOOD RISK-ASSESSMENT; INTEGRATED ASSESSMENT; URBAN COMMUNITIES; WESTERN PART; FARM-LEVEL; ADAPTATION; RESILIENCE; INDICATORS; STRATEGIES;
D O I
10.1007/s11069-020-04473-z
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Bangladesh is one of the world's most climate-vulnerable countries. The appraisal of household vulnerability and capacity to adapt under climate change is therefore crucial for developing effective disaster risk reduction policies. This study explored the nexus between vulnerability and capacity of rural drought-prone households using survey data of 400 respondents from northern Bangladesh. Through extensive rigorous literature review, 22 and 25 indicators were employed to develop the vulnerability and capacity index, respectively. Co-occurrence network analysis was employed to show the nexus among different classes of capacity and vulnerability. Spearman correlation was also performed to analyze the nexus between vulnerability and capacity. The results reveal that households' vulnerability varies across livelihood assets (human, social, financial, physical, and natural), but capacity follows a similar distribution pattern. A significant negative association was found between vulnerability and adaptive capacity, whereas the strong correlations between social and human capital, human and financial capital, social and financial capital, and physical and natural capital were identified in this study. Future projection (up to 2024) using support vector machine algorithm shows that overall drought adaptive capacity will increase, while vulnerability will decrease. The outcomes of this study would help planners and policy-makers in planning and taking proper initiatives that might be useful for adopting efficient disaster risk reduction strategies.
引用
收藏
页码:509 / 527
页数:19
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