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Assessing Agricultural Livelihood Vulnerability to Climate Change in Coastal Bangladesh

The adverse impacts of climate change exert mounting pressure on agriculture-dependent livelihoods of many developing and developed nations. However, integrated and spatially specific vulnerability assessments in less-developed countries like Bangladesh are rare, and insufficient to support the deci...

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Autores principales: Hoque, Muhammad Ziaul, Cui, Shenghui, Xu, Lilai, Islam, Imranul, Tang, Jianxiong, Ding, Shengping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6888219/
https://www.ncbi.nlm.nih.gov/pubmed/31752102
http://dx.doi.org/10.3390/ijerph16224552
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author Hoque, Muhammad Ziaul
Cui, Shenghui
Xu, Lilai
Islam, Imranul
Tang, Jianxiong
Ding, Shengping
author_facet Hoque, Muhammad Ziaul
Cui, Shenghui
Xu, Lilai
Islam, Imranul
Tang, Jianxiong
Ding, Shengping
author_sort Hoque, Muhammad Ziaul
collection PubMed
description The adverse impacts of climate change exert mounting pressure on agriculture-dependent livelihoods of many developing and developed nations. However, integrated and spatially specific vulnerability assessments in less-developed countries like Bangladesh are rare, and insufficient to support the decision-making needed for climate-change resilience. Here, we develop an agricultural livelihood vulnerability index (ALVI) and an integrated approach, allowing for (i) mapping out the hot spots of vulnerability distribution; (ii) identifying key factors of spatially heterogeneous vulnerability; and (iii) supporting intervention planning for adaptation. This study conceptualized vulnerability as a function of exposure, sensitivity, and adaptive capacity by developing a composite index from a reliable dataset of 64 indicators comprising biophysical, agro-ecological, and socioeconomic variables. The empirical studies of coastal Bangladesh revealed that Bhola, Patuakhali, and Lakshmipur districts, around the mouth of the deltaic Meghna estuaries, are the hot spot of vulnerability distribution. Furthermore, the spatially heterogeneous vulnerability was triggered by spatial variation of erosion, cyclones, drought, rain-fed agriculture, land degradation, soil phosphorus, crop productivity, sanitation and housing condition, infant mortality, emergency shelters, adoption of agro-technology. The integrated approach could be useful for monitoring and evaluating the effectiveness of adaptation intervention by substituting various hypothetical scenarios into the ALVI framework for baseline comparison.
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spelling pubmed-68882192019-12-09 Assessing Agricultural Livelihood Vulnerability to Climate Change in Coastal Bangladesh Hoque, Muhammad Ziaul Cui, Shenghui Xu, Lilai Islam, Imranul Tang, Jianxiong Ding, Shengping Int J Environ Res Public Health Article The adverse impacts of climate change exert mounting pressure on agriculture-dependent livelihoods of many developing and developed nations. However, integrated and spatially specific vulnerability assessments in less-developed countries like Bangladesh are rare, and insufficient to support the decision-making needed for climate-change resilience. Here, we develop an agricultural livelihood vulnerability index (ALVI) and an integrated approach, allowing for (i) mapping out the hot spots of vulnerability distribution; (ii) identifying key factors of spatially heterogeneous vulnerability; and (iii) supporting intervention planning for adaptation. This study conceptualized vulnerability as a function of exposure, sensitivity, and adaptive capacity by developing a composite index from a reliable dataset of 64 indicators comprising biophysical, agro-ecological, and socioeconomic variables. The empirical studies of coastal Bangladesh revealed that Bhola, Patuakhali, and Lakshmipur districts, around the mouth of the deltaic Meghna estuaries, are the hot spot of vulnerability distribution. Furthermore, the spatially heterogeneous vulnerability was triggered by spatial variation of erosion, cyclones, drought, rain-fed agriculture, land degradation, soil phosphorus, crop productivity, sanitation and housing condition, infant mortality, emergency shelters, adoption of agro-technology. The integrated approach could be useful for monitoring and evaluating the effectiveness of adaptation intervention by substituting various hypothetical scenarios into the ALVI framework for baseline comparison. MDPI 2019-11-18 2019-11 /pmc/articles/PMC6888219/ /pubmed/31752102 http://dx.doi.org/10.3390/ijerph16224552 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hoque, Muhammad Ziaul
Cui, Shenghui
Xu, Lilai
Islam, Imranul
Tang, Jianxiong
Ding, Shengping
Assessing Agricultural Livelihood Vulnerability to Climate Change in Coastal Bangladesh
title Assessing Agricultural Livelihood Vulnerability to Climate Change in Coastal Bangladesh
title_full Assessing Agricultural Livelihood Vulnerability to Climate Change in Coastal Bangladesh
title_fullStr Assessing Agricultural Livelihood Vulnerability to Climate Change in Coastal Bangladesh
title_full_unstemmed Assessing Agricultural Livelihood Vulnerability to Climate Change in Coastal Bangladesh
title_short Assessing Agricultural Livelihood Vulnerability to Climate Change in Coastal Bangladesh
title_sort assessing agricultural livelihood vulnerability to climate change in coastal bangladesh
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6888219/
https://www.ncbi.nlm.nih.gov/pubmed/31752102
http://dx.doi.org/10.3390/ijerph16224552
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