Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/30431
Appears in Collections:Biological and Environmental Sciences Journal Articles
Peer Review Status: Refereed
Title: Available and missing data to model impact of climate change on European forests
Author(s): Ruiz-Benito, Paloma
Vacchiano, Giorgio
Lines, Emily R
Reyer, Christopher P O
Ratcliffe, Sophia
Morin, Xavier
Hartig, Florian
Mäkelä, Annikki
Yousefpour, Rasoul
Chaves, Jimena E
Palacios-Orueta, Alicia
Benito-Garzón, Marta
Morales-Molino, Cesar
Julio Camarero, J
Jump, Alistair S
Contact Email: a.s.jump@stir.ac.uk
Keywords: climatic extremes
data accessibility
data integration
drivers
forest responses to climate change
harmonisation
open access
Issue Date: 15-Jan-2020
Citation: Ruiz-Benito P, Vacchiano G, Lines ER, Reyer CPO, Ratcliffe S, Morin X, Hartig F, Mäkelä A, Yousefpour R, Chaves JE, Palacios-Orueta A, Benito-Garzón M, Morales-Molino C, Julio Camarero J & Jump AS (2020) Available and missing data to model impact of climate change on European forests. Ecological Modelling, 416, Art. No.: 108870. https://doi.org/10.1016/j.ecolmodel.2019.108870
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.
DOI Link: 10.1016/j.ecolmodel.2019.108870
Rights: This is an open access article distributed under the terms of the Creative Commons CC-BY license (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. You are not required to obtain permission to reuse this article.
Notes: Additional co-authors: Jens Kattge, Aleksi Lehtonen, Andreas Ibrom, Harry J F Owen, Miguel A Zavala
Licence URL(s): http://creativecommons.org/licenses/by/4.0/

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