Forestry under Climate Change. Is Time a Tool for Sustainable Forest Management?

Abstract

Changing climate conditions are known to influence forest tree growth response and the CO2 cycle. Dendroclimatological research has shown that the climate signal, species composition, and growth trends have changed in different types of forest ecosystems during the last century. Under current and demonstrated changes in climate variability at the geographic, regional, and local levels tree growth shows also variability and trends that can be non-stationary during time even at relatively short distance between sites. In forest planning and management, yield tables, site quality indices, age class, rate of growth, and spatial distribution are some of the most used tools and parameters. However, these methods do not involve climate variability during time although climate is the main driver in trends of forest and tree growth. Previous research warns about the risk that forest management under changing climatic conditions could amplify their negative effects. For example, changing climate conditions may impact on temperature and/or precipitation thresholds critical to forest tree growth. Forest biomass, resilience, and CO2 storage may be damaged unless forest planning and management implement the relationships between climate variability and trends of tree growth. A positive aspect is that, periods of favorable climate conditions may allow harvesting higher amount of wood mass and storing more CO2 than traditional planning methods. And, the average length of both favorable and adverse periods appears to occur within the validity period of a forest management plan. Here, we show a conceptual development to implement climate variability in forest management in the view of continuing the research.

Share and Cite:

D’Aprile, F. , Tapper, N. and Marchetti, M. (2015) Forestry under Climate Change. Is Time a Tool for Sustainable Forest Management?. Open Journal of Forestry, 5, 329-336. doi: 10.4236/ojf.2015.54028.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] Bertini, G., Amoriello, T., Fabbio, G., & Piovosi, M. (2011). Forest Growth and Climate Change: Evidences from the ICP-Forests Intensive Monitoring in Italy. iForest, 4, 262-267.
http://www.sisef.it/iforest/contents/?id=ifor0596-004
http://dx.doi.org/10.3832/ifor0596-004
[2] D’Aprile, F., Tapper, N., Baker, P., & Bartolozzi, L. (2009). Radial Growth Response of Silver Fir (Abies alba Mill.) in Tuscany and Climate Influence: First Results. In Proceedings of the Third National Congress of Silviculture for the Improvement and Conservation of the Italian Forests (pp. 541-546). Firenze: Italian Academy of Forest Sciences. (In Italian)
http://dx.doi.org/10.4129/CNS2008.075
[3] D’Aprile, F., Tapper, N., Baker, P., & Bartolozzi, L. (2009). Climate Influence and Radial Growth of Silver Fir (Abies alba Mill.) in Tuscany: First Results. Geophysical Research Abstracts, Vol. 11, EGU2009-3826-1, EGU General Assembly, Vienna, 2009.
http://meetingorganizer.copernicus.org/EGU2009/EGU2009-3826-1.pdf
[4] D’Aprile, F., Tapper, N., Baker, P., & Bartolozzi, L. (2010). Variability in Trends of Monthly Mean Temperature among Sites in the Tuscan Apennine Alps. Geophysical Research Abstracts, EGU2010-5681-3, EGU General Assembly, Vienna, 2010.
http://meetingorganizer.copernicus.org/EGU2010/EGU2010-5681-3.pdf
[5] D’Aprile, F., Tapper, N., Bartolozzi, L., & Bottacci, A. (2011). Non-Stationary Similarity in Trends of Monthly Rainfall in the Tuscan Apennine Alps. Geophysical Research Abstracts, Vol. 13, EGU2011-1170-1, EGU General Assembly, Vienna, 2011.
http://presentations.copernicus.org/EGU2011-1170_presentation.pdf
[6] D’Aprile, F., Tapper N., Baker, P. Bartolozzi, L., & Bottacci, A. (2012). Changes in the Relationships between Climate and Silver Fir (Abies alba Mill.) Growth during the 20th Century in the Tuscan Apennine Alps (Middle Italy). Geophysical Research Abstracts, Vol. 14, EGU2012-425-1, EGU General Assembly, Vienna, 2012.
http://presentations.copernicus.org/EGU2012-425_presentation.pdf
[7] Falk, W., & Mellert, H. M. (2011). Species Distribution Models as a Tool for Forest Management Planning under Climate Change: Risk Evaluation of Abies alba in Bavaria. Journal of Vegetation Science, 22, 621-634.
[8] Lafortezza, R., Sanesi, G., & Chen, J. (2013). Large-Scale Effects of Forest Management in Mediterranean Landscapes of Europe. iForest, 6, 342-346.
http://www.sisef.it/iforest/contents/?id=ifor0960-006
[9] Linares, J. C., & Camarero, J. J. (2012). Growth Patterns and Sensitivity to Climate to Predict Silver Fir Decline in the Spanish Pyrenees. European Journal of Forest Research, 131, 1001-1012.
http://dx.doi.org/10.1007/s10342-011-0572-7
[10] Mérian, P., Bert, D., & Lebourgeois, F. (2013). An Approach for Quantifying and Correcting Sample Size-Related Bias in Population Estimates of Climate-Tree Growth Relationships. Forest Science, 59, 444-452.
http://dx.doi.org/10.5849/forsci.12-047
[11] Pretzsch, H., Biber, P., Schütze, G., Uhl, E., & Rotzer, T. (2014). Forest Stand Growth Dynamics in Central Europe Have Accelerated since 1870. Nature Communications, 5, Article ID: 4967.
http://dx.doi.org/10.1038/ncomms5967
[12] Sedmák, R., & Scheer, L. (2015). Properties and Prediction Accuracy of a Sigmoid Function of Time-Determinate Growth. iForest, e1-e7.
http://www.sisef.it/iforest/contents/?id=ifor1243-007

Copyright © 2023 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.