Via Igino Garbini 51, 01100 Viterbo
+39 0761 309587
Dario Papale is Associate Professor of Forest Ecology at the University of Tuscia (Viterbo, Italy) were he also got his PhD in Forest Management and Ecology in 2003 working on artificial neural networks and eddy covariance data. His research interests are in measurements of green house gases exchanges at ecosystem scale and their use in data-model integration and empirical data-oriented models. Since 2004 he is scientific responsible of the European Eddy Covariance fluxes databases cluster where eddy covariance data standardization, quality control and uncertainty estimation are developed and applied.
In the last years his main activity and interest has been the development and coherent growth of the global network of eddy covariance sites (FLUXNET) including the development of new methods and techniques to enhance the quality of the eddy covariance measurements in particular in Europe and US. He is member of the AmeriFlux Management Project Team and he has been nominated in 2013 Director of the Ecosystem Thematic Centre of the Integrated Carbon Observation System (ICOS) in Europe.
He published more than 100 papers in international journals and he is co-editor of a book on the Eddy Covariance technique.
ORCID: orcid.org/0000-0001-5170-8648
Publons: https://publons.com/researcher/3083202/dario-papale/
ResearchGate: https://www.researchgate.net/profile/Dario-Papale
LATEST PUBLICATIONS
- Standards and Open Access are the ICOS Pillars Reply to "Comments on 'The Integrated Carbon Observation System in Europe'"
- The effect of relative humidity on eddy covariance latent heat flux measurements and its implication for partitioning into transpiration and evaporation.
- A widely-used eddy covariance gap-filling method creates systematic bias in carbon balance estimates.
- Ideas and perspectives: Enhancing research and monitoring of carbon pools and land-to-atmosphere greenhouse gases exchange in developing countries.
- Direct observations of CO2 emission reductions due to COVID-19 lockdown across European urban districts
- The Integrated Carbon Observation System in Europe.
- Intercomparison of methods to estimate gross primary production based on CO2 and COS flux measurements.
- Paddy rice methane emissions across Monsoon Asia
- Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands.
- FLUXNET-CH4: a global, multi-ecosystem dataset and analysis of methane seasonality from freshwater wetlands.