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Spatial and temporal dynamics of multidimensional well-being, livelihoods and ecosystem services in coastal Bangladesh

Populations in resource dependent economies gain well-being from the natural environment, in highly spatially and temporally variable patterns. To collect information on this, we designed and implemented a 1586-household quantitative survey in the southwest coastal zone of Bangladesh. Data were coll...

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Autores principales: Adams, Helen, Adger, W. Neil, Ahmad, Sate, Ahmed, Ali, Begum, Dilruba, Lázár, Attila N., Matthews, Zoe, Rahman, Mohammed Mofizur, Streatfield, Peter Kim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5100685/
https://www.ncbi.nlm.nih.gov/pubmed/27824340
http://dx.doi.org/10.1038/sdata.2016.94
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author Adams, Helen
Adger, W. Neil
Ahmad, Sate
Ahmed, Ali
Begum, Dilruba
Lázár, Attila N.
Matthews, Zoe
Rahman, Mohammed Mofizur
Streatfield, Peter Kim
author_facet Adams, Helen
Adger, W. Neil
Ahmad, Sate
Ahmed, Ali
Begum, Dilruba
Lázár, Attila N.
Matthews, Zoe
Rahman, Mohammed Mofizur
Streatfield, Peter Kim
author_sort Adams, Helen
collection PubMed
description Populations in resource dependent economies gain well-being from the natural environment, in highly spatially and temporally variable patterns. To collect information on this, we designed and implemented a 1586-household quantitative survey in the southwest coastal zone of Bangladesh. Data were collected on material, subjective and health dimensions of well-being in the context of natural resource use, particularly agriculture, aquaculture, mangroves and fisheries. The questionnaire included questions on factors that mediate poverty outcomes: mobility and remittances; loans and micro-credit; environmental perceptions; shocks; and women’s empowerment. The data are stratified by social-ecological system to take into account spatial dynamics and the survey was repeated with the same respondents three times within a year to incorporate seasonal dynamics. The dataset includes blood pressure measurements and height and weight of men, women and children. In addition, the household listing includes basic data on livelihoods and income for approximately 10,000 households. The dataset facilitates interdisciplinary research on spatial and temporal dynamics of well-being in the context of natural resource dependence in low income countries.
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spelling pubmed-51006852016-11-11 Spatial and temporal dynamics of multidimensional well-being, livelihoods and ecosystem services in coastal Bangladesh Adams, Helen Adger, W. Neil Ahmad, Sate Ahmed, Ali Begum, Dilruba Lázár, Attila N. Matthews, Zoe Rahman, Mohammed Mofizur Streatfield, Peter Kim Sci Data Data Descriptor Populations in resource dependent economies gain well-being from the natural environment, in highly spatially and temporally variable patterns. To collect information on this, we designed and implemented a 1586-household quantitative survey in the southwest coastal zone of Bangladesh. Data were collected on material, subjective and health dimensions of well-being in the context of natural resource use, particularly agriculture, aquaculture, mangroves and fisheries. The questionnaire included questions on factors that mediate poverty outcomes: mobility and remittances; loans and micro-credit; environmental perceptions; shocks; and women’s empowerment. The data are stratified by social-ecological system to take into account spatial dynamics and the survey was repeated with the same respondents three times within a year to incorporate seasonal dynamics. The dataset includes blood pressure measurements and height and weight of men, women and children. In addition, the household listing includes basic data on livelihoods and income for approximately 10,000 households. The dataset facilitates interdisciplinary research on spatial and temporal dynamics of well-being in the context of natural resource dependence in low income countries. Nature Publishing Group 2016-11-08 /pmc/articles/PMC5100685/ /pubmed/27824340 http://dx.doi.org/10.1038/sdata.2016.94 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0 This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse.
spellingShingle Data Descriptor
Adams, Helen
Adger, W. Neil
Ahmad, Sate
Ahmed, Ali
Begum, Dilruba
Lázár, Attila N.
Matthews, Zoe
Rahman, Mohammed Mofizur
Streatfield, Peter Kim
Spatial and temporal dynamics of multidimensional well-being, livelihoods and ecosystem services in coastal Bangladesh
title Spatial and temporal dynamics of multidimensional well-being, livelihoods and ecosystem services in coastal Bangladesh
title_full Spatial and temporal dynamics of multidimensional well-being, livelihoods and ecosystem services in coastal Bangladesh
title_fullStr Spatial and temporal dynamics of multidimensional well-being, livelihoods and ecosystem services in coastal Bangladesh
title_full_unstemmed Spatial and temporal dynamics of multidimensional well-being, livelihoods and ecosystem services in coastal Bangladesh
title_short Spatial and temporal dynamics of multidimensional well-being, livelihoods and ecosystem services in coastal Bangladesh
title_sort spatial and temporal dynamics of multidimensional well-being, livelihoods and ecosystem services in coastal bangladesh
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5100685/
https://www.ncbi.nlm.nih.gov/pubmed/27824340
http://dx.doi.org/10.1038/sdata.2016.94
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