Local Determinants of Adaptive Capacity Against the Climatic Impacts in Coastal Bangladesh

2014 ◽  
pp. 1-26
Author(s):  
Mustafa Saroar ◽  
Jayant K. Routray
Keyword(s):  
Adaptive Capacity ◽  
Coastal Bangladesh ◽  
Climatic Impacts

scholarly journals Household’s Agricultural Vulnerability to Climate Induced Disasters: A Case on South-west Coastal Bangladesh

2021 ◽  
Author(s):  
Md. Ayatullah Khan ◽  
Kazi Humayun Kabir ◽  
Kamrul Hasan ◽  
Rashmia Sultana ◽  
Sardar Al Imran ◽  
...  
Keyword(s):  
Adaptive Capacity ◽  
Vulnerability Index ◽  
Average Score ◽  
Intergovernmental Panel ◽  
Coastal Bangladesh ◽  
Coastal Adaptation ◽  
Agricultural Vulnerability ◽  
Farm Credit ◽  
Household Heads ◽  
Study Sites

Abstract Climatic events have a significant impact on south-western coastal agriculture in Bangladesh. The purpose of this study was to assess household’s agricultural vulnerability to climate-induced disasters and to identify the sub-indicators of adaptive capacity that determine the agricultural vulnerability to climate-induced disasters of south-western coastal households in Bangladesh. The vulnerability has been calculated by taking the Intergovernmental Panel on Climate Change (IPCC) concept through an Agricultural Vulnerability Index (AVI). Then, the ordered logit model has been employed to identify the key sub-indicators of adaptive capacity that determine the agricultural vulnerability to climate-induced disasters. A survey of 346 household heads from the two villages (181 household’s head from Sutarkhali and 165 household’s head from Nalian) of Sutarkhali Union of Dacope Upazila under Khulna District has been used in this study. Findings reveal that the mean score of Sutarkhali is 0.703 (high) for exposure, 0.762 (high) for sensitivity, 0.397 (low) for adaptive capacity and finally, the AVI is 0.689 (high). In the same fashion, Nalian has an average score of 0.658 (high) for exposure, 0.681 (high) for sensitivity, 0.410 (low) for adaptive capacity, and finally 0.643 (high) for the AVI. Non-farm employment, ownership of livestock, access to irrigation pump, improved crop diversification/ saline tolerant High Yielding Variety (HYV) crops, and access to farm credit have been found statistically significant sub-indicators of adaptive capacity that determine the agricultural vulnerability of both study sites. Finally, it is recommended that the intervention required for coastal adaptation of agriculture should be initiated by respective authorities.

Impacts of climatic disasters in coastal Bangladesh: why does private adaptive capacity differ?

2011 ◽  
Vol 12 (1) ◽  
pp. 169-190 ◽  
Author(s):  
M. Mustafa Saroar ◽  
Jayant K. Routray
Keyword(s):  
Adaptive Capacity ◽  
Coastal Bangladesh

scholarly journals Household’s Agricultural Vulnerability to Climate Induced Disasters: A Case on South-west Coastal Bangladesh

2021 ◽  
Author(s):  
Md. Ayatullah Khan ◽  
Kazi Humayun Kabir ◽  
Kamrul Hasan ◽  
Rashmia Sultana ◽  
Sardar Al Imran ◽  
...  
Keyword(s):  
Adaptive Capacity ◽  
Vulnerability Index ◽  
Average Score ◽  
Intergovernmental Panel ◽  
Coastal Bangladesh ◽  
Coastal Adaptation ◽  
Agricultural Vulnerability ◽  
Farm Credit ◽  
Household Heads ◽  
Study Sites

Abstract Climatic events have a significant impact on south-western coastal agriculture in Bangladesh. The purpose of this study was to assess household’s agricultural vulnerability to climate-induced disasters and to identify the sub-indicators of adaptive capacity that determine the agricultural vulnerability to climate-induced disasters of south-western coastal households in Bangladesh. The vulnerability has been calculated by taking the Intergovernmental Panel on Climate Change (IPCC) concept through an Agricultural Vulnerability Index (AVI). Then, the ordered logit model has been employed to identify the key sub-indicators of adaptive capacity that determine the agricultural vulnerability to climate-induced disasters. A survey of 346 household heads from the two villages (181 household’s head from Sutarkhali and 165 household’s head from Nalian) of Sutarkhali Union of Dacope Upazila under Khulna District has been used in this study. Findings reveal that the mean score of Sutarkhali is 0.703 (high) for exposure, 0.762 (high) for sensitivity, 0.397 (low) for adaptive capacity and finally, the AVI is 0.689 (high). In the same fashion, Nalian has an average score of 0.658 (high) for exposure, 0.681 (high) for sensitivity, 0.410 (low) for adaptive capacity, and finally 0.643 (high) for the AVI. Non-farm employment, ownership of livestock, access to irrigation pump, improved crop diversification/ saline tolerant High Yielding Variety (HYV) crops, and access to farm credit have been found statistically significant sub-indicators of adaptive capacity that determine the agricultural vulnerability of both study sites. Finally, it is recommended that the intervention required for coastal adaptation of agriculture should be initiated by respective authorities.

scholarly journals Household’s Agricultural Vulnerability to Climate Induced Disasters: A Case on South-west Coastal Bangladesh

2021 ◽  
Author(s):  
Md. Ayatullah Khan ◽  
Kazi Humayun Kabir ◽  
Kamrul Hasan ◽  
Rashmia Sultana ◽  
Sardar Al Imran ◽  
...  
Keyword(s):  
Adaptive Capacity ◽  
Formal Education ◽  
Vulnerability Index ◽  
Farm Size ◽  
Average Score ◽  
Intergovernmental Panel ◽  
Coastal Bangladesh ◽  
Agricultural Vulnerability ◽  
Farm Credit ◽  
Study Sites

Abstract The purpose of this study was to assess household’s agricultural vulnerability to climate induced disasters and to identify the indicators of adaptive capacity that determine the vulnerability of south-western coastal household’s in Bangladesh. The vulnerability was calculated by taking the Intergovernmental Panel on Climate Change (IPCC) concept through an Agricultural Vulnerability Index (AVI). Then the ordered logit model was employed in order to identify key determinants of agricultural vulnerability to climate induced disasters. A survey of 346 household’s head from the two settlements (181 household’s head from Sutarkhali and 165 household’s head from Nalian) of Sutarkhali Union of Dacope Upazila under Khulna District was used in this study. Findings revealed that the mean score of Sutarkhali was 0.703 (high) in exposure, 0.724 (high) in sensitivity, 0.341 (low) in adaptive capacity and finally, the agricultural vulnerability index (AVI) was 0.695 (high). On the same fashion, Nalian was an average score of 0.697 (high) in exposure, 0.721 (high) in sensitivity, 0.386 (low) in adaptive capacity, and finally 0.677 (high) in agricultural vulnerability index (AVI). Annual savings, formal education, ownership of livestock, improved seeds supply, access to irrigation pump, improved crop diversification/ High Yielding Variety (HYV) crops, access to large farm size and access to farm credit were found to be statistically significant indicators of adaptive capacity that determine agricultural vulnerability of the both study sites. Finally it is recommended that the intervention required for coastal adaptation of agriculture should be initiated by respective authorities.

Kapasitas Adaptasi dan Resiliensi Komunitas Menghadapi Bencana Erupsi Gunung Merapi

2019 ◽  
Vol 2 (5) ◽  
pp. 617
Author(s):  
Nyimas Ayu Dillashandy ◽  
Nurmala K Panjaitan
Keyword(s):  
Adaptive Capacity ◽  
Random Sampling ◽  
Qualitative Data ◽  
Sampling Method ◽  
Sampling Technique ◽  
Community Resilience ◽  
Simple Random Sampling ◽  
Quantitative Approach ◽  
Institutional Memory ◽  
Innovative Learning

Mount Merapi eruption has occurred several times in Indonesia and the biggest eruption that last occurred in 2010. The community were suffered losses and were affected by eruptions. The purposes of this research are to analyze community resilience, to analyze the level of vulnerability, and to analize the community adaptive capacity. The research using a quantitative approach supported by qualitative data. Simple random sampling technique is used as the sampling method and the informant was taken purposively. The results of this research showed that when the eruption occurred the community has a high vulnerability. The adaptive capacity is also high with innovative learning based on institutional memory and supported by the connectedness. Communities achieve resilience and can adapt to changes with high adaptive capacity.  Keywords: adaptive capacity, community resilience, eruption, vulnerability ABSTRAK Erupsi Gunung Merapi sudah terjadi beberapa kali di Indonesia dan erupsi terbesar yang terjadi terakhir kalinya yaitu pada tahun 2010. Komunitas mengalami berbagai kerugian dan terkena dampak dari erupsi. Tujuan dari penelitian ini adalah untuk menganalisis resiliensi komunitas, menganalisis tingkat kerentanan komunitas, dan menganalisis kapasitas adaptasi komunitas. Penelitian ini dilaksanakan dengan menggunakan pendekatan kuantitatif yang didukung oleh data kualitatif. Pemilihan responden dilakukan dengan teknik sampel acak sederhana sedangkan pemilihan terhadap informan dilakukan secara sengaja. Hasil penelitian ini menunjukkan bahwa saat erupsi terjadi komunitas memiliki kerentanan yang tinggi. Kapasitas adaptasi komunitas tinggi dengan adanya innovative learning yang didasari oleh pengetahuan dan pengalaman dan didukung oleh jaringan yang dimiliki. Komunitas berhasil mencapai resiliensi dan dapat beradaptasi dengan perubahan-perubahan dengan kapasitas adaptasi yang tinggi.Kata kunci : kapasitas adaptasi, kerentanan, erupsi, resiliensi komunitas

The functionality and resources of the body of runners-sprinters with diff erent adaptive capacity

2019 ◽  
pp. 68-70
Author(s):  
S.S. Pavlenkovich ◽  
◽  
L.K. Tokaeva ◽  
T.A. Bespalova ◽  
I.V. Smyshlyaeva ◽  
...  
Keyword(s):  
Adaptive Capacity ◽  
The Body
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