Spatial and temporal dynamics of multidimensional well-being, livelihoods and ecosystem services in coastal Bangladesh.
Spatial and temporal dynamics of multidimensional well-being, livelihoods and ecosystem services in coastal Bangladesh.
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DOI：
10.1038/sdata.2016.94
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发表时间：
2016-11-08
期刊：
影响因子：
9.8
通讯作者：
Streatfield, Peter Kim
中科院分区：
文献类型：
--
作者：
Adams, Helen;Adger, W. Neil;Ahmad, Sate;Ahmed, Ali;Begum, Dilruba;Lazar, Attila N.;Matthews, Zoe;Rahman, Mohammed Mofizur;Streatfield, Peter Kim
资源依赖型经济体的人口从自然环境中获得福祉，其空间和时间模式高度可变。为了收集这方面的信息，我们在孟加拉国西南沿海地区设计并实施了一项1586户的定量调查。在自然资源使用，特别是农业、水产养殖、红树林和渔业方面，收集了关于福祉的物质、主观和健康方面的数据。调查问卷中的问题涉及影响贫穷结果的因素：流动性和汇款;贷款和小额信贷;环境观念;冲击;以及增强妇女权能。数据按社会生态系统分层，以考虑到空间动态，并在一年内对相同的受访者重复进行了三次调查，以纳入季节动态。该数据集包括男性、女性和儿童的血压测量值以及身高和体重。此外，住户清单还包括大约10 000个住户的生计和收入基本数据。该数据集有助于在低收入国家依赖自然资源的背景下对福祉的时空动态进行跨学科研究。
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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影响因子：
56.9
作者：
Bateman, Ian J.;Harwood, Amii R.;Termansen, Mette
通讯作者：
Termansen, Mette
影响因子：
168.9
作者：
Chowdhury, A. Mushtaque R.;Bhuiya, Abbas;Chen, Lincoln C.
通讯作者：
Chen, Lincoln C.
DOI：
10.1111/j.1759-5436.1986.mp17003002.x
发表时间：
1986-07-01
影响因子：
0.7
作者：
LIPTON, M
通讯作者：
LIPTON, M
DOI：
10.1073/pnas.0907284107
发表时间：
2010-03-16
影响因子：
11.1
作者：
Raudsepp-Hearne, C;Peterson, G D;Bennett, E M
通讯作者：
Bennett, E M
影响因子：
5.5
作者：
Lazar, Attila N.;Clarke, Derek;Moslehuddin, Abu Zofar Md.
通讯作者：
Moslehuddin, Abu Zofar Md.