With great power comes great responsibility: an analysis of sustainable forest management quantitative indicators in the DPSIR framework

Author:

Paillet Y.ORCID,Campagnaro T.ORCID,Burrascano S.ORCID,Gosselin M.ORCID,Ballweg J.ORCID,Chianucci F.ORCID,Dorioz J.,Marsaud J.,Maciejewski L.ORCID,Sitzia T.ORCID,Vacchiano G.ORCID

Abstract

AbstractThe monitoring of environmental policies in Europe has taken place since the 1980s and still remains a challenge for decision- and policy-making. For forests, it is concretized through the publication of a State Of Europe’s Forests every five years, the last report just been released. However, the process lacks a clear analytical framework and appears limited to orient and truly assess sustainable management of European forests. We classified the 34 quantitative sustainable forest management indicators in the Driver-Pressure-State-Impact-Response (DPSIR) framework to analyse gaps in the process. In addition, we classified biodiversity-related indicators in the simpler Pressure-State-Response (PSR) framework. We showed that most of the sustainable forest management indicators assess the state of European forests, but almost half could be classified in another DPSIR category. For biodiversity, most indicators describe pressures, while direct taxonomic state indicators are very few. Our expert-based classification show that sustainable forest management indicators are unbalanced regarding the DPSIR framework. However, completing this framework with other indicators would help to have a better view and more relevant tools for decision-making. The results for biodiversity were comparable, but we showed that some indicators from other criteria than the one dedicated to biodiversity could also help understanding threats and actions concerning it. Such classification helps in the decision process, but is not sufficient to fully support policy initiative. In particular, the next step would be to better understand the links between DPSIR and PSR categories.

Publisher

Cold Spring Harbor Laboratory

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