Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1088/1748-9326/aafe43 |
Human dependence on natural resources in rapidly urbanising South African regions | |
Balbi, Stefano1; 39;Farrell, Patrick2 | |
2019-04-01 | |
发表期刊 | ENVIRONMENTAL RESEARCH LETTERS |
ISSN | 1748-9326 |
出版年 | 2019 |
卷号 | 14期号:4 |
文章类型 | Article |
语种 | 英语 |
国家 | Spain; Sweden; South Africa |
英文摘要 | Enhancing the governance of social-ecological systems for more equitable and sustainable development is hindered by inadequate knowledge about how different social groups and communities rely on natural resources. We used openly accessible national survey data to develop a metric of overall dependence on natural resources. These data contain information about households' sources of water, energy, building materials and food. We used these data in combination with Bayesian learning to model observed patterns of dependence using demographic variables that included: gender of household head, household size, income, house ownership, formality status of settlement, population density, and in-migration rate to the area. We show that a small number of factors-in particular population density and informality of settlements-can explain a significant amount of the observed variation with regards to the use of natural resources. Subsequently, we test the validity of these predictions using alternative, open access data in the eThekwini and Cape Town metropolitan areas of South Africa. We discuss the advantages of using a selection of predictors which could be supplied through remotely sensed and open access data, in terms of opportunities and challenges to produce meaningful results in data-poor areas. With data availability being a common limiting factor in modelling and monitoring exercises, access to inexpensive, up-to-date and free to use data can significantly improve how we monitor progress towards sustainability targets. A small selection of openly accessible demographic variables can predict household's dependence on local natural resources. |
英文关键词 | provisioning ecosystem services sustainable development urban transition machine learning openly accessible data informality |
领域 | 气候变化 |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000462895800004 |
WOS关键词 | SMALL-AREA ESTIMATION ; ECOSYSTEM SERVICES ; INDICATORS ; POVERTY ; URBANIZATION ; INFORMALITY ; ATTITUDES ; DYNAMICS ; BUNDLES ; GENDER |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/182065 |
专题 | 气候变化 |
作者单位 | 1.Basque Ctr Climate Change, Sede Bldg,Campus EHU UPV, Leioa, Bizkaia, Spain; 2.Stockholm Univ, Stockholm Resilience Ctr, Stockholm, Sweden; 3.CSIR, Pretoria, South Africa; 4.Stellenbosch Univ, Dept Conservat Ecol & Entomol, Stellenbosch, South Africa; 5.Stellenbosch Univ, Ctr Invas Biol, Stellenbosch, South Africa; 6.Univ Cape Town, Percy FitzPatrick Inst African Ornithol, Rondebosch, South Africa; 7.Basque Fdn Sci, IKERBASQUE, Bilbao, Bizkaia, Spain |
推荐引用方式 GB/T 7714 | Balbi, Stefano,39;Farrell, Patrick. Human dependence on natural resources in rapidly urbanising South African regions[J]. ENVIRONMENTAL RESEARCH LETTERS,2019,14(4). |
APA | Balbi, Stefano,&39;Farrell, Patrick.(2019).Human dependence on natural resources in rapidly urbanising South African regions.ENVIRONMENTAL RESEARCH LETTERS,14(4). |
MLA | Balbi, Stefano,et al."Human dependence on natural resources in rapidly urbanising South African regions".ENVIRONMENTAL RESEARCH LETTERS 14.4(2019). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论