| نویسندگان | Jahanishakib Fatemeh,Erfani |
| نشریه | Environmental Management |
| شماره صفحات | 1-17 |
| شماره سریال | 76 |
| شماره مجلد | 316 |
| نوع مقاله | Full Paper |
| تاریخ انتشار | 2026 |
| نوع نشریه | چاپی |
| کشور محل چاپ | آلمان |
| نمایه نشریه | ISI،JCR،Scopus |
| کلید واژه ها | Ex, ante EIA ● Ex, post EIA ● Monetary valuation ● Trade, off ● Win, win environmental policies |
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چکیده مقاله
Development projects inevitably affect ecosystem services (ES). Accordingly, environmental impact assessment (EIA) has
gained attention worldwide, with ES valuation serving as a complementary approach to environmental decision-making.
This study proposes a framework to quantify the environmental costs and benefits associated with ES changes within the
EIA process, thereby making these impacts explicit in the environmental dimension of cost-benefit analysis (CBA). For this
purpose, a cyclical-incremental approach (CIA) was designed with strong feedback loops to the early steps of EIA and ES
valuation. The proposed CIA is designed to improve the realism and objectivity of EIA through at least two assessment
rounds. The approach was applied in its first round to five ES—habitat quality, carbon sequestration, oxygen production,
food production, and forage production—in a case study of a sulfuric acid plant at the Sarcheshmeh Copper Complex in
Kerman, Iran. In the CBA conducted for these five assessed ES, no positive benefit was identified. The highest annual
financial losses are associated with carbon sequestration ($72,877) and food production ($55,277), indicating that both
provisioning and supporting/regulating services have suffered the greatest damage. The total annual financial loss for the five
assessed ES is $155,109, with no corresponding benefit identified among the assessed services in this first-round application.
The present study demonstrates the first round of the proposed CIA, while subsequent rounds using monitoring data are
required to validate and progressively refine its application. Its outputs can assist decision-makers by making the
environmental costs and benefits of development projects explicit and quantifiable.
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