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An exploration of human well-being bundles as identifiers of ecosystem service use patterns

dc.contributor.authorHamann, Maikeen_ZA
dc.contributor.authorBiggs, Reinetteen_ZA
dc.contributor.authorReyers, Belindaen_ZA
dc.date.accessioned2017-10-10T10:39:31Z
dc.date.available2017-10-10T10:39:31Z
dc.date.issued2016-10
dc.identifier.citationHamann, M., Biggs, R. & Reyers, B. 2016. An exploration of human well-being bundles as identifiers of ecosystem service use patterns. PLoS ONE, 11(10):e0163476, doi:10.1371/journal.pone.0163476
dc.identifier.issn1932-6203 (online)
dc.identifier.otherdoi:10.1371/journal.pone.0163476
dc.identifier.urihttp://hdl.handle.net/10019.1/102306
dc.descriptionCITATION: Hamann, M., Biggs, R. & Reyers, B. 2016. An exploration of human well-being bundles as identifiers of ecosystem service use patterns. PLoS ONE, 11(10):e0163476, doi:10.1371/journal.pone.0163476.en
dc.descriptionThe original publication is available at http://journals.plos.org/plosone
dc.description.abstractWe take a social-ecological systems perspective to investigate the linkages between ecosystem services and human well-being in South Africa. A recent paper identified different types of social-ecological systems in the country, based on distinct bundles of ecosystem service use. These system types were found to represent increasingly weak direct feedbacks between nature and people, from rural “green-loop” communities to urban “red-loop” societies. Here we construct human well-being bundles and explore whether the well-being bundles can be used to identify the same social-ecological system types that were identified using bundles of ecosystem service use. Based on national census data, we found three distinct well-being bundle types that are mainly characterized by differences in income, unemployment and property ownership. The distribution of these well-being bundles approximates the distribution of ecosystem service use bundles to a substantial degree: High levels of income and education generally coincided with areas characterised by low levels of direct ecosystem service use (or red-loop systems), while the majority of low well-being areas coincided with medium and high levels of direct ecosystem service use (or transition and green-loop systems). However, our results indicate that transformations from green-loop to red-loop systems do not always entail an immediate improvement in well-being, which we suggest may be due to a time lag between changes in the different system components. Using human well-being bundles as an indicator of social-ecological dynamics may be useful in other contexts since it is based on socio-economic data commonly collected by governments, and provides important insights into the connections between ecosystem services and human well-being at policy-relevant sub-national scales.en_ZA
dc.description.urihttp://journals.plos.org/plosone/article?id=10.1371/journal.pone.0163476
dc.format.extent20 pages : illustrations
dc.language.isoen_ZAen_ZA
dc.publisherPublic Library of Science
dc.subjectHuman well-being - South Africaen_ZA
dc.subjectHuman ecology -- South Africaen_ZA
dc.subjectEcosystems -- Human beingen_ZA
dc.subjectHealth indicators -- South Africaen_ZA
dc.titleAn exploration of human well-being bundles as identifiers of ecosystem service use patternsen_ZA
dc.typeArticleen_ZA
dc.description.versionPublisher's version
dc.rights.holderAuthors retain copyright


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