Pan-European sustainable forest management indicators for assessing Climate-Smart Forestry in Europe

Author:

Santopuoli G.12,Temperli C.3,Alberdi I.4,Barbeito I.56,Bosela M.7,Bottero A.38,Klopčič M.9,Lesinski J.10,Panzacchi P.211,Tognetti R.12

Affiliation:

1. Dipartimento Agricoltura, Ambiente e Alimenti, Università degli Studi del Molise, Via Francesco De Sanctis, 86100 Campobasso, Italy.

2. Centro di Ricerca per le Aree Interne e gli Appennini (ArIA), Università degli Studi del Molise, via Francesco De Sanctis 86100 Campobasso, Italy.

3. Swiss Federal Institute for Forest, Snow and Landscape Research WSL. Zürcherstrasse 111 CH-8903 Birmensdorf, Switzerland.

4. Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria, Ctra. A Coruña, 7.5 Km, 28040, Madrid, Spain.

5. Southern Swedish Forest Research Center, Swedish University of Agricultural Sciences Sundsvägen 3, Box 49, 230 53 Alnarp.

6. Université de Lorraine, AgroParisTech, INRA, UMR Silva, Nancy, France.

7. Faculty of Forestry, Technical University in Zvolen, Slovakia.

8. SwissForestLab, CH-8903 Birmensdorf, Switzerland.

9. Biotechnical Faculty, Department of Forestry and Renewable Forest Resources, Jamnikarjeva ulica 101, SI-1000 Ljubljana, Slovenia.

10. Department of Forest Biodiversity. University of Agriculture. Al. 29-Listopada 46. 31-425 Krakow, Poland.

11. Facoltà di Scienze e Tecnologie, Libera Università di Bolzano, Piazza Università 1, 39100, Bolzano/Bozen, Italy.

Abstract

The increasing demand for innovative forest management strategies to adapt to and mitigate climate change and benefit forest production, the so-called Climate-Smart Forestry, calls for a tool to monitor and evaluate their implementation and their effects on forest development over time. The pan-European set of criteria and indicators for sustainable forest management is considered one of the most important tools for assessing many aspects of forest management and sustainability. This study offers an analytical approach to selecting a subset of indicators to support the implementation of Climate-Smart Forestry. Based on a literature review and the analytical hierarchical approach, 10 indicators were selected to assess, in particular, mitigation and adaptation. These indicators were used to assess the state of the Climate-Smart Forestry trend in Europe from 1990 to 2015 using data from the reports on the State of Europe’s Forests. Forest damage, tree species composition, and carbon stock were the most important indicators. Though the trend was overall positive with regard to adaptation and mitigation, its evaluation was partly hindered by the lack of data. We advocate for increased efforts to harmonize international reporting and for further integrating the goals of Climate-Smart Forestry into national- and European-level forest policy making.

Publisher

Canadian Science Publishing

Subject

Ecology,Forestry,Global and Planetary Change

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