An Exploration of Human Well-Being Bundles as Identifiers of Ecosystem Service Use Patterns

PLoS One. 2016 Oct 3;11(10):e0163476. doi: 10.1371/journal.pone.0163476. eCollection 2016.

Abstract

We 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.

MeSH terms

  • Censuses
  • Conservation of Natural Resources
  • Ecosystem*
  • Humans
  • Social Environment*
  • Socioeconomic Factors*
  • South Africa
  • Water Resources

Grants and funding

This work was supported by a grant from the Swedish International Development Cooperation Agency (Sida) and the Swedish Research Council (VR). RB is supported by a Branco Weiss Society in Science Fellowship and the DST/NRF South African Research Chairs Initiative (Grant No 93097). BR received support from the WISER project (NE/L001322/1) funded by the Ecosystem Services for Poverty Alleviation program (ESPA). ESPA receives its funding from the Department for International Development (DFID), the Economic and Social Research Council (ESRC) and the Natural Environment Research Council (NERC). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.