Ruiz-Benito, Paloma and Vacchiano, Giorgio and Lines, Emily R. and Reyer, Christopher P. O. and Ratcliffe, Sophia and Morin, Xavier and Hartig, Florian and Makela, Annikki and Yousefpour, Rasoul and Chaves, Jimena E. and Palacios-Orueta, Alicia and Benito-Garzon, Marta and Morales-Molino, Cesar and Julio Camarero, J. and Jump, Alistair S. and Kattge, Jens and Lehtonen, Aleksi and Ibrom, Andreas and Owen, Harry J. F. and Zavala, Miguel A. (2020) Available and missing data to model impact of climate change on European forests. ECOLOGICAL MODELLING, 416: 108870. ISSN 0304-3800, 1872-7026
Full text not available from this repository. (Request a copy)Abstract
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | PLANT-SPECIES RICHNESS; AIRBORNE LIDAR DATA; WAVE-FORM LIDAR; LEAF-AREA INDEX; 3D VEGETATION STRUCTURE; BIOMASS ESTIMATION; DISCRETE-RETURN; LAND-USE; TERRESTRIAL ECOSYSTEMS; DRIVING TEMPERATURE; climatic extremes; data accessibility; data integration; drivers; forest responses to climate change; harmonisation; open access |
| Subjects: | 500 Science > 570 Life sciences 500 Science > 580 Botanical sciences |
| Divisions: | Biology, Preclinical Medicine > Institut für Pflanzenwissenschaften Biology, Preclinical Medicine > Institut für Pflanzenwissenschaften > Group Theoretical Ecology (Prof. Dr. Florian Hartig) |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 01 Apr 2021 11:09 |
| Last Modified: | 01 Apr 2021 11:09 |
| URI: | https://pred.uni-regensburg.de/id/eprint/45343 |
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