气候变化领域集成服务门户(CCPortal): Human dependence on natural resources in rapidly urbanising South African regions

CCPortal

DOI	10.1088/1748-9326/aafe43
	Human dependence on natural resources in rapidly urbanising South African regions
	Balbi S.; Selomane O.; Sitas N.; Blanchard R.; Kotzee I.; O'Farrell P.; Villa F.
发表日期	2019
ISSN	17489318
卷号	14 期号:4
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. © 2019 The Author(s). Published by IOP Publishing Ltd.
英文关键词	informality; machine learning; openly accessible data; provisioning ecosystem services; sustainable development; urban transition
语种	英语
scopus关键词	Ecosystems; Learning systems; Open access; Planning; Population distribution; Population dynamics; Population statistics; Sustainable development; Bayesian learning; Demographic variables; Ecosystem services; informality; openly accessible data; Population densities; Social-ecological systems; urban transition; Open Data; data assimilation; ecosystem service; environmental monitoring; governance approach; household survey; human activity; machine learning; metropolitan area; natural resource; remote sensing; service provision; survey method; sustainable development; urbanization; Cape Town; eThekwini; KwaZulu-Natal; South Africa; Western Cape
来源期刊	Environmental Research Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/154648
作者单位	Basque Centre for Climate Change (BC3), Sede Building, Campus EHU/UPV, Bizkaia, Leioa, Spain; Stockholm Resilience Centre, Stockholm University, Sweden; Council for Scientific and Industrial Research, South Africa; Department of Conservation Ecology and Entomology, Stellenbosch University, South Africa; Centre for Invasion Biology, Stellenbosch University, South Africa; Percy FitzPatrick Institute of African Ornithology, University of Cape Town, Rondebosch, South Africa; IKERBASQUE, Basque Foundation for Science, Bizkaia, Bilbao, Spain
推荐引用方式 GB/T 7714	Balbi S.,Selomane O.,Sitas N.,et al. Human dependence on natural resources in rapidly urbanising South African regions[J],2019,14(4).
APA	Balbi S..,Selomane O..,Sitas N..,Blanchard R..,Kotzee I..,...&Villa F..(2019).Human dependence on natural resources in rapidly urbanising South African regions.Environmental Research Letters,14(4).
MLA	Balbi S.,et al."Human dependence on natural resources in rapidly urbanising South African regions".Environmental Research Letters 14.4(2019).