Système d'information stratégique et agriculture (serveur d'exploration)

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

Identifieur interne : 000038 ( Pmc/Curation ); précédent : 000037; suivant : 000039

Spatial 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 :

RBID : PMC:5100685

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

Links toward previous steps (curation, corpus...)


Links to Exploration step

PMC:5100685

Le document en format XML

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<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>
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<article-title>Spatial and temporal dynamics of multidimensional well-being, livelihoods and ecosystem services in coastal Bangladesh</article-title>
</title-group>
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<contrib contrib-type="author">
<name>
<surname>Adams</surname>
<given-names>Helen</given-names>
</name>
<xref ref-type="corresp" rid="c1">a</xref>
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<xref ref-type="aff" rid="a2">2</xref>
<contrib-id contrib-id-type="orcid">http://orcid.org/0000-0003-1732-9833</contrib-id>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Adger</surname>
<given-names>W. Neil</given-names>
</name>
<xref ref-type="aff" rid="a2">2</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ahmad</surname>
<given-names>Sate</given-names>
</name>
<xref ref-type="aff" rid="a3">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ahmed</surname>
<given-names>Ali</given-names>
</name>
<xref ref-type="aff" rid="a3">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Begum</surname>
<given-names>Dilruba</given-names>
</name>
<xref ref-type="aff" rid="a3">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lázár</surname>
<given-names>Attila N.</given-names>
</name>
<xref ref-type="aff" rid="a4">4</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Matthews</surname>
<given-names>Zoe</given-names>
</name>
<xref ref-type="aff" rid="a5">5</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Rahman</surname>
<given-names>Mohammed Mofizur</given-names>
</name>
<xref ref-type="aff" rid="a3">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Streatfield</surname>
<given-names>Peter Kim</given-names>
</name>
<xref ref-type="aff" rid="a3">3</xref>
</contrib>
<aff id="a1">
<label>1</label>
<institution>Geography, King’s College London, Strand Campus</institution>
, London WC2R 2LS,
<country>UK</country>
</aff>
<aff id="a2">
<label>2</label>
<institution>Geography, College of Life and Environmental Sciences, University of Exeter, Rennes Drive</institution>
, Exeter EX4 4RJ,
<country>UK</country>
</aff>
<aff id="a3">
<label>3</label>
<institution>Initiative for Climate Change and Health, International Centre for Diarrhoeal Disease Research Bangladesh</institution>
, GPO Box 128, Dhaka 1000,
<country>Bangladesh</country>
</aff>
<aff id="a4">
<label>4</label>
<institution>Engineering and the Environment, University of Southampton, University Road, Southampton</institution>
, Southampton SO17 1BJ,
<country>UK</country>
</aff>
<aff id="a5">
<label>5</label>
<institution>Social Statistics & Demography, University of Southampton, 58 Salisbury Rd</institution>
, Southampton SO17 1BJ,
<country>UK</country>
</aff>
</contrib-group>
<author-notes>
<corresp id="c1">
<label>a</label>
H.A. (email:
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<fn id="con">
<label></label>
<p>H.A.: qualitative research, design of the social-ecological system sampling strategy, questionnaire design, co-management of the survey, led in writing article; N.A.: qualitative research, social-ecological system sampling strategy and questionnaire; S.A.: designed and implemented the social-ecological system sampling strategy, designed the questionnaire; A.A. contributed to the design of the survey instrument, oversaw the implementation of the survey, carried out data checks; D.B. designed the social-ecological system sampling strategy, designed the questionnaire, carried out systematic random sampling, oversaw the implementation of the survey; Z.M. contributed to design of qualitative research, social-ecological system sampling strategy and questionnaire; M.M.R. contributed to management of the survey, carried out quality control checks in the field; P.K.S. contributed to design of qualitative research, social-ecological system sampling strategy and questionnaire, Principal Investigator of the survey. All authors contributed to writing the article.</p>
</fn>
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<pub-date pub-type="epub">
<day>08</day>
<month>11</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="collection">
<year>2016</year>
</pub-date>
<volume>3</volume>
<elocation-id>160094</elocation-id>
<history>
<date date-type="received">
<day>22</day>
<month>03</month>
<year>2016</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>09</month>
<year>2016</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright © 2016, The Author(s)</copyright-statement>
<copyright-year>2016</copyright-year>
<copyright-holder>The Author(s)</copyright-holder>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0">
<pmc-comment>author-paid</pmc-comment>
<license-p>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
<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0">http://creativecommons.org/licenses/by/4.0</ext-link>
Metadata associated with this Data Descriptor is available at
<ext-link ext-link-type="uri" xlink:href="http://www.nature.com/sdata/">http://www.nature.com/sdata/</ext-link>
and is released under the CC0 waiver to maximize reuse. </license-p>
</license>
</permissions>
<related-article ext-link-type="doi" related-article-type="data-paper-referrer" id="d33e22" xlink:href="10.1039/c4em00600c"></related-article>
<abstract>
<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>
</abstract>
<kwd-group kwd-group-type="npg.subject">
<title>Subject terms</title>
<kwd>Developing world</kwd>
<kwd>Environmental social sciences</kwd>
</kwd-group>
</article-meta>
</front>
<floats-group>
<fig id="f1">
<label>Figure 1</label>
<caption>
<title>Schematic showing systematic sampling process. HH = households.</title>
</caption>
<graphic xlink:href="sdata201694-f1"></graphic>
</fig>
<fig id="f2">
<label>Figure 2</label>
<caption>
<title>Land cover map of the study area used to define social-ecological systems.</title>
</caption>
<graphic xlink:href="sdata201694-f2"></graphic>
</fig>
<fig id="f3">
<label>Figure 3</label>
<caption>
<title>Unions in the study area assigned to social-ecological systems, with surveyed Unions highlighted in bold.</title>
</caption>
<graphic xlink:href="sdata201694-f3"></graphic>
</fig>
<fig id="f4">
<label>Figure 4</label>
<caption>
<title>Brief characterisation of the social-ecological systems.</title>
</caption>
<graphic xlink:href="sdata201694-f4"></graphic>
</fig>
<table-wrap position="float" id="t1">
<label>Table 1</label>
<caption>
<title> Number of Unions in each social-ecological system.</title>
</caption>
<table frame="hsides" rules="groups" border="1">
<colgroup>
<col align="left"></col>
<col align="center"></col>
</colgroup>
<thead valign="bottom">
<tr>
<th align="left" valign="top" charoff="50">
<bold>Social-ecological system</bold>
</th>
<th align="center" valign="top" charoff="50">
<bold>Number of Unions</bold>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left" valign="top" charoff="50">Coastal periphery</td>
<td align="center" valign="top" charoff="50">11</td>
</tr>
<tr>
<td align="left" valign="top" charoff="50">Sunderban dependent zone</td>
<td align="center" valign="top" charoff="50">24</td>
</tr>
<tr>
<td align="left" valign="top" charoff="50">Riverine</td>
<td align="center" valign="top" charoff="50">17</td>
</tr>
<tr>
<td align="left" valign="top" charoff="50">Rain-fed agriculture</td>
<td align="center" valign="top" charoff="50">223</td>
</tr>
<tr>
<td align="left" valign="top" charoff="50">Freshwater prawn</td>
<td align="center" valign="top" charoff="50">11</td>
</tr>
<tr>
<td align="left" valign="top" charoff="50">Irrigated agriculture</td>
<td align="center" valign="top" charoff="50">29</td>
</tr>
<tr>
<td align="left" valign="top" charoff="50">Saltwater shrimp</td>
<td align="center" valign="top" charoff="50">31</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="t2">
<label>Table 2</label>
<caption>
<title>Timing, recall period and surveyed population in each survey round.</title>
</caption>
<table frame="hsides" rules="groups" border="1">
<colgroup>
<col align="left"></col>
<col align="center"></col>
<col align="center"></col>
<col align="center"></col>
</colgroup>
<thead valign="bottom">
<tr>
<th align="left" valign="top" charoff="50">
<bold>Rounds of survey</bold>
</th>
<th align="center" valign="top" charoff="50">
<bold>Period of implementation</bold>
</th>
<th align="center" valign="top" charoff="50">
<bold>Months captured in recall questions</bold>
</th>
<th align="center" valign="top" charoff="50">
<bold>Surveyed population</bold>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left" valign="top" charoff="50">First round</td>
<td align="center" valign="top" charoff="50">Jun-14</td>
<td align="center" valign="top" charoff="50">February –June</td>
<td align="center" valign="top" charoff="50">1586</td>
</tr>
<tr>
<td align="left" valign="top" charoff="50">Second round</td>
<td align="center" valign="top" charoff="50">Oct-Nov 2014</td>
<td align="center" valign="top" charoff="50">June -October</td>
<td align="center" valign="top" charoff="50">1516</td>
</tr>
<tr>
<td align="left" valign="top" charoff="50">Third round</td>
<td align="center" valign="top" charoff="50">Mar-15</td>
<td align="center" valign="top" charoff="50">October-February</td>
<td align="center" valign="top" charoff="50">1531</td>
</tr>
</tbody>
</table>
</table-wrap>
</floats-group>
</pmc>
</record>

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