A meta-database comparison from various European Research and Monitoring Networks dedicated to forest sites

doi:10.3832/ifor0751-006

A meta-database comparison from various European Research and Monitoring Networks dedicated to forest sites

A Danielewska⁽¹⁾ , N Clarke⁽²⁾, J Olejnik⁽¹⁾, K Hansen⁽⁴⁾, W Vries⁽⁵⁾, L Lundin⁽⁶⁾, J Tuovinen⁽⁷⁾, R Fischer⁽⁸⁾, M Urbaniak⁽¹⁾, E Paoletti⁽⁹⁾

iForest - Biogeosciences and Forestry, Volume 6, Issue 1, Pages 1-9 (2013)
doi: https://doi.org/10.3832/ifor0751-006
Published: Jan 14, 2013 - Copyright © 2013 SISEF

Technical Advances

Collection/Special Issue: IUFRO 7.01.00 - COST Action FP0903, Kaunas (Lithuania - 2012)
Biological Reactions of Forest to Climate Change and Air Pollution
Guest Editors: Elena Paoletti, Andrzej Bytnerowicz, Algirdas Augustaitis

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Of a wide variety of international forest research and monitoring networks, several networks are dedicated to the effects of climate change on forests, while the effects of anthropogenic pollutants on forests have been a major area for both monitoring and research for decades. The large amounts of data already obtained within existing monitoring programmes and large-scale international projects can be used to increase understanding of the state and potential of forest mitigation and adaptation to climate change in a polluted environment, and a major challenge now is to evaluate and integrate the presently available databases. We present a meta-database with the main goal to highlight available data and integrate the information about research and monitoring of selected European Research and Monitoring Networks (ERMNs). Depending on the selected ERMNs, the list of variables and the measurement units differ widely in the databases. As a result, activities related to the identification, evaluation and integration of the presently available databases are important for the scientific community. Furthermore, and equally important, the recognition of current knowledge gaps and future needed research is made easier. This analysis suggests that: ground-level ozone is under-investigated, although it is one of the pollutants of greatest concern to forests; in addition to CO₂, long-term other greenhouse gasses (GHG) flux measurements should be carried out; there is still a need of improving links between monitoring of atmospheric changes and impacts on forests; research-oriented manipulative experiments in the forests are missing.

Keywords

Research and Monitoring Network, Meta-database, Forest, Monitoring

Authors’ address

(1)

Meteorology Department, Poznan University of Life Sciences, Piatkowska 94, 60-649 Poznan (Poland)

(2)

Norwegian Forest and Landscape Institute, P.O. Box 115, N-1431 s (Norway)

(3)

Department of Matter and Energy Fluxes, Global Change Research Center, AS CR, v.v.i. Belidla 986/4a, 603 00 Brno (Czech Republic)

(4)

IVL Swedish Environmental Research Institute, Box 210 60, SE-100 31 Stockholm (Sweden)

(5)

Alterra, Wageningen University and Research Centre, P.O. Box 47, 6700 AA Wageningen (The Netherlands)

(6)

Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, P.O. Box 7050, SE-750 07 Uppsala (Sweden)

(7)

Finnish Meteorological Institute, Climate Change Research, P.O. Box 503, FI-00101 Helsinki (Finland)

(8)

PCC of ICP Forests, Institute for World Forestry, Johann Heinrich von Thünen-Institute (vTI), Leuschnerstrasse 91, D-21031 Hamburg (Germany)

(9)

Istituto per la Protezione delle Piante - CNR, v. Madonna del Piano 10, I-50019 Sesto Fiorentino, FI (Italy)

Corresponding author

A Danielewska
alinkadanie@poczta.onet.pl

Citation

Danielewska A, Clarke N, Olejnik J, Hansen K, Vries W, Lundin L, Tuovinen J, Fischer R, Urbaniak M, Paoletti E (2013). A meta-database comparison from various European Research and Monitoring Networks dedicated to forest sites. iForest 6: 1-9. - doi: 10.3832/ifor0751-006

Academic Editor

Alberto Santini

Paper history

Received: Aug 27, 2012
Accepted: Nov 22, 2012

First online: Jan 14, 2013
Publication Date: Feb 05, 2013
Publication Time: 1.77 months

Open Access

This article is distributed under the terms of the Creative Commons Attribution-Non Commercial 4.0 International (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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