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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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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. |
format | Online Article Text |
id | pubmed-6888219 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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