Status and changes in key meteorological variables at the CONECOFOR plots, 1996 - 2005

Authors

  • Tiziana Amoriello Consiglio per la Ricerca e la sperimentazione in Agricoltura, Centro di ricerca per lo studio delle Relazioni tra Pianta e Suolo (CRA-RPS), Roma, Italy
  • Andrea Costantini Consiglio per la Ricerca e la sperimentazione in Agricoltura, Centro di ricerca per lo studio delle Relazioni tra Pianta e Suolo (CRA-RPS), Roma, Italy

DOI:

https://doi.org/10.12899/asr-905

Keywords:

trends, precipitation, temperature, time series.

Abstract

In this paper, variability of precipitation, temperatures and temperature stress indexes of permanent monitoring plots (PMPs) of Italian CONECOFOR network are analyzed. The study is carried out in 16 Open Field areas over the period 1996-2005. For four areas among these (BOL1, EMI1, VAL1, VEN1) longer time series are considered. An eventual trend in time series is analysed using the Mann- Kendall test, applied to annual and seasonal values, and using the additive stochastic model to separate the seasonal variation, despite the limited number of available data. Both methods do not show clear temperature or precipitation trends on long-term period. Changes in annual climatic parameters for different areas may be related to fluctuations on short-term period.

References

Amoriello T., Costantini A. 2000 - Calculation of meteorological stress indices for Italian forest ecosystem. Annali Ist. Sper. Selv., Special Issue CONECOFOR, vol. 30 (1999): 129-134.

Box G. E. P., Jenkins G. M. and Reinsel G. C. 1994 - Time series analysis: forecasting and control. Third ed., Prentice-Hall, Englewood Cliffs NJ, 598 p.

Buermann W., Anderson B., Tucher C. J., Dickinson R. E., Lucht W., Potter C. S., Myneui R. B. 2003 - Interannual covariability in Northern Hemisphere air temperatures and greenness associated with El Niño – Southern Oscillation and the Artic Oscillation. Journal of Geophysical Research, 108.

Calleart G., Van Rast E., Scheirlink H., Lust N. 1997 – Klimatologische vereisten en risicobepaling voor klimaatsextremen van de voornaamste Europese boomsorten (in Dutch). Universditeit Gent en Ministerie van de Vlaamse Gemeenschap, 129 p.

Ferretti M., Nibbi R. 2000 - Procedures to check availability, quality and reliability of data collected at the CONECOFOR Permanent Monitoring Plots. Ann. Ist. Sper. Selv., Special Issue CONECOFOR, vol. 30 (1999): 43-57.

Folland C. K. 2001 - Observed climate variability and change. In Climate change 2001: the Scientific basis. Cambridge Univ. Press, New York: 101-181.

Gilbert, R. O. 1987 - Statistical methods for environmental pollution monitoring. Van Nostrand Reinhold, New York.

Hansen J., Ruedy R., Glascoe J., Sato M. 1999 - GISS analysis of surface temperature change. Journal of Geophysical Research, 104.

Hirsch R. M., Slack J. R. And Smith R. A. 1982 - Techniques of trend analysis for monthly water quality data. Water Resources Research, 13: 567-575.

Klap J. M., De Vries W., Erisman J. W., Van Leeuween 1997 – Relationship between forest condition and natural and anthropogenic stress factors on the European scale; pilot study. Wageningen, The Netherlands, DLO Winand Staring Centre for Integrated Land, Soil and Water Researcher, Report 150.

Kendall M. G. 1975 - Rank correlation methods. Charles Griffin, London.

Mann H. B. 1945 - Non-parametric test against trend. Econometrica, 13: 245-259.

Quenouille M. H. 1947 - A large-sample of autoregressive schemes. Journal of the Royal Statistical Society, 110: 123-129.

W.M.O. 1969 - Guide to meteorological instrument and observing practices. n. 8 TP. 3.

Downloads

How to Cite

Amoriello, T., & Costantini, A. (2013). Status and changes in key meteorological variables at the CONECOFOR plots, 1996 - 2005. Annals of Silvicultural Research, 34, 73–84. https://doi.org/10.12899/asr-905

Issue

Section

Research papers

Similar Articles

<< < 1 2 3 4 5 6 7 8 > >> 

You may also start an advanced similarity search for this article.