Spatial and temporal dynamics of multidimensional well-being, livelihoods and ecosystem services in coastal Bangladesh
Identifieur interne : 000028 ( Main/Merge ); précédent : 000027; suivant : 000029Spatial and temporal dynamics of multidimensional well-being, livelihoods and ecosystem services in coastal Bangladesh
Auteurs : Helen Adams [Royaume-Uni] ; W. Neil Adger [Royaume-Uni] ; Sate Ahmad [Bangladesh] ; Ali Ahmed [Bangladesh] ; Dilruba Begum [Bangladesh] ; Attila N. Lázár [Royaume-Uni] ; Zoe Matthews [Royaume-Uni] ; Mohammed Mofizur Rahman [Bangladesh] ; Peter Kim Streatfield [Bangladesh]Source :
- Scientific Data [ 2052-4463 ] ; 2016.
Abstract
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.
Url:
DOI: 10.1038/sdata.2016.94
PubMed: 27824340
PubMed Central: 5100685
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Lázár</name><affiliation wicri:level="1"><nlm:aff id="a4"><institution>Engineering and the Environment, University of Southampton, University Road, Southampton</institution>, Southampton SO17 1BJ,<country>UK</country></nlm:aff><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation></author><author><name sortKey="Matthews, Zoe" sort="Matthews, Zoe" uniqKey="Matthews Z" first="Zoe" last="Matthews">Zoe Matthews</name><affiliation wicri:level="1"><nlm:aff id="a5"><institution>Social Statistics & Demography, University of Southampton, 58 Salisbury Rd</institution>, Southampton SO17 1BJ,<country>UK</country></nlm:aff><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation></author><author><name sortKey="Rahman, Mohammed Mofizur" sort="Rahman, Mohammed Mofizur" uniqKey="Rahman M" first="Mohammed Mofizur" last="Rahman">Mohammed Mofizur Rahman</name><affiliation wicri:level="1"><nlm:aff id="a3"><institution>Initiative for Climate Change and Health, International Centre for Diarrhoeal Disease Research Bangladesh</institution>, GPO Box 128, Dhaka 1000,<country>Bangladesh</country></nlm:aff><country xml:lang="fr">Bangladesh</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation></author><author><name sortKey="Streatfield, Peter Kim" sort="Streatfield, Peter Kim" uniqKey="Streatfield P" first="Peter Kim" last="Streatfield">Peter Kim Streatfield</name><affiliation wicri:level="1"><nlm:aff id="a3"><institution>Initiative for Climate Change and Health, International Centre for Diarrhoeal Disease Research Bangladesh</institution>, GPO Box 128, Dhaka 1000,<country>Bangladesh</country></nlm:aff><country xml:lang="fr">Bangladesh</country><wicri:regionArea># see nlm:aff country strict</wicri:regionArea></affiliation></author></analytic><series><title level="j">Scientific Data</title><idno type="eISSN">2052-4463</idno><imprint><date when="2016">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>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.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Adams, H" uniqKey="Adams H">H. Adams</name></author><author><name sortKey="Adger, W N" uniqKey="Adger W">W.N. Adger</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Adams, H" uniqKey="Adams H">H. Adams</name></author></analytic></biblStruct></listBibl></div1></back></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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