This paper tested the ability of machine learning techniques, namely artificial neural networks and random forests, to predict the individual trees within a forest most at risk of damage in storms.
The Paris Agreement and the latest IPCC Assessment Report (2018) emphasize urgent and efficient actions for climate change mitigation. This means that we must rapidly reduce global greenhouse gas
Command-and-control policies are often criticised as insufficient to tackle tropical deforestation. Over the past two decades, both academics and policy-makers have promoted incentive-based policies
It has been demonstrated the usefulness of infrastructures along a climatic gradient like REINFFORCE to determine major tendencies of tree species responding to climate changes.
Stefanie Linser and Bernhard Wolfslehner, with 11 other experts from the IUFRO WP 9.01.05 on research and development of indicators for SFM, have jointly elaborated two publications covering all C&I
This study identifies new wood-based products with considerable potential and attractive markets, including textiles, liquid biofuels, platform chemicals, plastics and packaging. We apply a mixed
Agroforestry is an integrated land use management that combines a woody component with a lower story agricultural production recognized as one of the most important tools to mitigate and adapt to
