Explaining long-term outcome trajectories in social–ecological systems

Pushpendra Rana, Daniel C. Miller

Research output: Contribution to journalArticle

Abstract

Improved knowledge of long-term social and environmental trends and their drivers in coupled human and natural systems is needed to guide nature and society along a more sustainable trajectory. Here we combine common property theory and experimental impact evaluation methods to develop an approach for analyzing long-term outcome trajectories in social–ecological systems (SESs). We constructed robust counterfactual scenarios for observed vegetation outcome trajectories in the Indian Himalaya using synthetic control matching. This approach enabled us to quantify the contribution of a set of biophysical and socioeconomic factors in shaping observed outcomes. Results show the relative importance of baseline vegetation condition, governance, and demographic change in predicting long-term ecological outcomes. More generally, the findings suggest the broad potential utility of our approach to analyze long-term outcome trajectories, target new policy interventions, and assess the impacts of policies on sustainability goals in SESs across the globe.

Original languageEnglish (US)
Article numbere0215230
JournalPloS one
Volume14
Issue number4
DOIs
StatePublished - Apr 2019

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trajectories
Trajectories
Demography
vegetation
socioeconomic factors
governance
Sustainable development
demographic statistics
methodology

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)

Cite this

Explaining long-term outcome trajectories in social–ecological systems. / Rana, Pushpendra; Miller, Daniel C.

In: PloS one, Vol. 14, No. 4, e0215230, 04.2019.

Research output: Contribution to journalArticle

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