| Literature DB >> 28586099 |
Desheng Wu1,2, Shuzhen Chen1.
Abstract
Benchmarking a credible discount rate is of crucial importance in natural resource damage assessment (NRDA) and restoration evaluation. This article integrates a holistic framework of NRDA with prevailing low discount rate theory, and proposes a discount rate benchmarking decision support system based on service-specific risk aversion. The proposed approach has the flexibility of choosing appropriate discount rates for gauging long-term services, as opposed to decisions based simply on duration. It improves injury identification in NRDA since potential damages and side-effects to ecosystem services are revealed within the service-specific framework. A real embankment case study demonstrates valid implementation of the method.Keywords: Ecosystem services; natural resource damage assessment; reduced discount rate; risk
Year: 2017 PMID: 28586099 DOI: 10.1111/risa.12824
Source DB: PubMed Journal: Risk Anal ISSN: 0272-4332 Impact factor: 4.000