Ecological restoration effectiveness assessment based on social media analytics: A case study of Yongding River, China

The ecological restoration of river basin is sensitive to ecosystem service variation. However, previous ecological restoration effectiveness assessments often ignore the social perception of ecosystem services. This paper proposed an integrated effectiveness assessment framework for ecological restoration incorporating public satisfaction level. The InVEST model was deployed to compute four key ecosystem services, which are water conservation, water purification, soil retention, and carbon storage, by using both market price and in-lieu cost methods. Then, public satisfaction as incorporated into cultural services was quantified via social media analytics using the travel cost method. Taking the Yongding River as a case, we analyzed its pre- and post-ecological restoration performance during 2015–2021 using the proposed framework. The results showed that the ecosystem service value surged by $2664.19 million, resulting in an ecosystem service change index (ESCI) of 24.49%. In particular, a 20.27% increase in the public satisfaction level was found. Public satisfaction contributed 39.25% to the total increase in the ecosystem service value of the Yongding River. Our study may provide support for ecological restoration strategies concerning both physical and public demand aspects.