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 predictingEuropean forest responses to climate change are only available at relatively short time frames (up to 10-20years), 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.

Available and missing data to model impact of climate change on European forests / P. Ruiz-Benito, G. Vacchiano, E.R. Lines, C.P.O. Reyer, S. Ratcliffe, X. Morin, F. Hartig, A. Mäkelä, R. Yousefpour, J.E. Chaves, A. Palacios-Orueta, M. Benito-Garzón, C. Morales-Molino, J.J. Camarero, A.S. Jump, J. Kattge, A. Lehtonen, A. Ibrom, H.J.F. Owen, M.A. Zavala. - In: ECOLOGICAL MODELLING. - ISSN 0304-3800. - 416(2020 Jan 15). [10.1016/j.ecolmodel.2019.108870]

Available and missing data to model impact of climate change on European forests

G. Vacchiano
Secondo
;
2020

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 predictingEuropean forest responses to climate change are only available at relatively short time frames (up to 10-20years), 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.
climatic extremes, data accessibility, data integration, drivers
Settore AGR/05 - Assestamento Forestale e Selvicoltura
15-gen-2020
Article (author)
File in questo prodotto:
File Dimensione Formato  
1-s2.0-S0304380019303783-main.pdf

accesso aperto

Tipologia: Publisher's version/PDF
Dimensione 1.37 MB
Formato Adobe PDF
1.37 MB Adobe PDF Visualizza/Apri
ReviewTG1_PROFOUND_2019_EcolModel_R2_formatted.pdf

accesso aperto

Tipologia: Pre-print (manoscritto inviato all'editore)
Dimensione 540 kB
Formato Adobe PDF
540 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/698853
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 48
  • ???jsp.display-item.citation.isi??? 48
social impact