Available and missing data to model impact of climate change on European forests
•Harmonised freely-available data is crucial to model forest impacts on climate change.•We summarise available datasets on forest functioning and underlying drivers.•Data for key demographic mechanisms are available at the short-term at EU level.•Lack of high-resolution harmonised EU data for geneti...
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Veröffentlicht in: | Ecological modelling 2020-01, Vol.416, p.108870-15, Article 108870 |
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Sprache: | eng |
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Zusammenfassung: | •Harmonised freely-available data is crucial to model forest impacts on climate change.•We summarise available datasets on forest functioning and underlying drivers.•Data for key demographic mechanisms are available at the short-term at EU level.•Lack of high-resolution harmonised EU data for genetic and physiological tree responses to climate change.•Need for Pan-European data integration effort.
Climate change is expected to cause major changes in forest ecosystems during the 21st century and beyond. To assess forest impacts from climate change, the existing empirical information must be structured, harmonised and assimilated into a form suitable to develop and test state-of-the-art forest and ecosystem models. The combination of empirical data collected at large spatial and long temporal scales with suitable modelling approaches is key to understand forest dynamics under climate change. To facilitate data and model integration, we identified major climate change impacts observed on European forest functioning and summarised the data available for monitoring and predicting such impacts. Our analysis of c. 120 forest-related databases (including information from remote sensing, vegetation inventories, dendroecology, palaeoecology, eddy-flux sites, common garden experiments and genetic techniques) and 50 databases of environmental drivers highlights a substantial degree of data availability and accessibility. However, some critical variables relevant to predicting European forest responses to climate change are only available at relatively short time frames (up to 10-20 years), including intra-specific trait variability, defoliation patterns, tree mortality and recruitment. Moreover, we identified data gaps or lack of data integration particularly in variables related to local adaptation and phenotypic plasticity, dispersal capabilities and physiological responses. Overall, we conclude that forest data availability across Europe is improving, but further efforts are needed to integrate, harmonise and interpret this data (i.e. making data useable for non-experts). Continuation of existing monitoring and networks schemes together with the establishments of new networks to address data gaps is crucial to rigorously predict climate change impacts on European forests. |
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ISSN: | 0304-3800 1872-7026 |
DOI: | 10.1016/j.ecolmodel.2019.108870 |