Forests as hydrological regulators 🌳🌧️
Deng et al. examine the interaction between soil water and rainfall events in headwater forests in China.
Read more about their study and implications for forest management 👇
doi.org/10.1093/fore...
Cross-sector collaboration in forest policy in the Republic of Korea.
Kim et al. use the Collective Impact framework to assess how different actors involved in Korean forest policy change over time. 📈
🔗 doi.org/10.1093/fore...
Cross-sector collaboration in forest policy in the Republic of Korea.
Kim et al. use the Collective Impact framework to assess how different actors involved in Korean forest policy change over time. 📈
🔗 doi.org/10.1093/fore...
Looking to grow your skills?🌲
The Educational & Scientific Trust (EST) is offering grants of up to £500 to ICF members for CPD and training beyond day-to-day job requirements. Leadership, public speaking, media training, finance and more.
👉 Find out more at charteredforesters.org/what-we-do/e...
How effective is self-supervised learning for aboveground biomass estimation?
Seely et al. apply deep learning methods to airborne laser scanning data for modelling aboveground biomass in a boreal mixed wood forest in Ontario, Canada.
🔗 doi.org/10.1093/fore...
Looking to grow your network and learn from experienced professionals? 🌲
Join our Early Career Professionals Study Tour in July in Wales to gain practical insight into modern forestry, connect with peers, and explore real-world challenges in practice.
charteredforesters.org/event/early-...
Join our North England Member Network on 11 June in Sheffield, the UK’s greenest city, for this event reflecting on one of the most high‑profile and contentious street tree disputes in the UK and lessons for urban forestry today.
Book: charteredforesters.org/event/calm-a...
In case you missed it:
Earlier this month the United Nations released the Global Forest Goals Report 2026. 🌳
So far out of the 26 goals set:
🟢 27% are broadly met
🟡 65% are partially achieved
🔴 8% are off track
You can read the report here: forests.desa.un.org/documents/gl...
Out now:
🤝 Combining Sentinel-2 time-series and SITS-BERT for area-wide mapping of eight central European tree species by Költzow et al.
Read more about the potential of deep learning for large-scale forest species mapping.
🔗 doi.org/10.1093/fore...
Out now:
🤝 Combining Sentinel-2 time-series and SITS-BERT for area-wide mapping of eight central European tree species by Költzow et al.
Read more about the potential of deep learning for large-scale forest species mapping.
🔗 doi.org/10.1093/fore...
