Farmers' tea and nation's trees: A framework for eco-compensation assessment based on a subjective-objective combination analysis.

The effectiveness and sustainability of eco-compensation policy implementation are essential to ecosystem service protection. However, a purely subjective standpoint causes deviations from the compensation benchmark, while decision-making based solely on an objective standpoint fails to offer a profound understanding of local stakeholder conflicts. Therefore, local authorities find it difficult to set reasonable and effective eco-compensation implementation standards. An assessment framework for eco-compensation, defined as the subjective-objective combination analysis (SOCA), which considers both the subjective and objective positions of stakeholders is proposed. Focusing on a typical eco-compensation case, "Returning Tea to Forest", a compensation range is finally quantified from $443/ha to $2114/ha per year using the SOCA framework. SOCA quantification from multiple perspectives optimized the eco-compensation benchmark determinations and the eco-protection decision-making process.

Ecological policy benefit valuation based on public feedback: Forest ecosystem services in Wuyishan nature reserve, China.

The spontaneous expansion of tea cultivation has led to the degradation of forest ecosystem services in the Wuyishan national nature reserve (WNNR). In 2008, the local government put forward the policy of "returning tea to forests" (RTTF) to protect the forest ecosystem. However, in order to measure its effects over the past ten years, it is necessary to accurately quantify the economic benefits of this ecological policy. This study tracked the land use changes in WNNR during the last 17 years and estimated the ecosystem service value caused by the RTTF policy. We used virtual market methods to convert different types of public feedback into a unified monetary value, and estimated the economic benefits of RTTF by combining the land use changes. Results showed that the added value of forest ecosystem services not only compensated for the loss of tea profits, but also brought about remarkable economic benefits (approximately US$140 million). Through the combination of ecological changes and economic benefits, we proposed a future direction of the RTTF policy adjustment. More broadly, we provided a method to quantify economic effects (or economic losses) from the perspective of public feedback on the basis of ecological changes. This attempt has contributed to the solving of econometric problems related to ecological policy by combining bioinformatics with ecological economics.