figshare
Browse
tbsm_a_1472143_sm4784.pdf (282.52 kB)

Estimating economic value of site quality for uncertain ecosystem service provision in Swedish forests

Download (282.52 kB)
journal contribution
posted on 2018-05-16, 04:35 authored by Ing-Marie Gren, Franklin Amuakwa-Mensah

As in other ecosystems, provision of ecosystem services from forests is uncertain because of stochastic weather conditions. In general, society is risk-averse, which means that factors increasing or decreasing the uncertainty in ecosystem services add a source of cost or value to society, measurement of which is lacking in the literature. This article suggests a method for calculating the impact of site-specific ecological conditions in Swedish forests on the economic value of uncertain ecosystem services in terms of timber and carbon sequestration. Applying econometric tools from economics and finance to time-series forest data in Sweden reveals that a site quality indicator adds positively to forest growth rate and decreases uncertainty in forest productivity and associated provision of ecosystem services. The importance of site quality is demonstrated by showing that a marginal increase in site quality can raise the economic value of timber and carbon sequestration by 9% and that neglecting uncertainty can underestimate the value of the contribution by 12%. These findings indicate that management practices improving site quality have the potential of raising the total economic value of forest ecosystem and stabilizing its volatility.

EDITED BY Antonio Lara, Alexander van Oudenhoven

EDITED BY Antonio Lara, Alexander van Oudenhoven

Funding

The work was supported by the Swedish Research Council Formas for the research project ‘The roles of fungal diversity, forest management and their interactions - analysis and valuation of effects on ecosystem services’ [grant no. 215-2012-1257].

History

Usage metrics

    International Journal of Biodiversity Science, Ecosystem Services & Management

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC