Forests and forest-relevant policies in Europe face a wide array of challenges in a rapidly changing world. Issues such as Brexit, the new European Parliament and European Commission, and the recent European Green Deal proposal are certain to affect policymaking, as are the as-yet unknown impacts of the coronavirus (COVID-19). A new science-policy study from EFI provides a timely look at forest governance in Europe, and offers insights into the potential way forward. Many of the forest-relevant policies currently in place have been targeted towards 2020, and while a final evaluation of their achievements is not yet possible, a look into the future is essential. Forest products and services are increasingly an inherent and integrated elem...
Climate change is a global challenge, with estimated mitigation costs ranging from $1.6 to $3.8 tril...
This Study aims to set a framework for the legal recognition of the Rights of Nature in the EU legal...
A spatiotemporal machine learning framework for automated prediction and analysis of long-term Land ...
In 2012, the European Union published its bioeconomy strategy and action plan. Many Member States wo...
Forests and other wooded lands cover around 42% of EU’s land area and provide a multiplicity of bene...
• Generally, the condition of European forests is deteriorating, with increasing mean defoliation of...
As largest source of renewable energy, forest-based bioenergy is an important source of energy for t...
European forests provide a set of fundamental services that contribute to climate change mitigation ...
This document summarizes the design process, definitions, and algorithmic implementation conducted b...
This document describes the design process, definitions, and algorithmic implementation for the pan-...
In the UK and globally, forestry is experiencing an upsurge in interest as forests are anticipated ...
The Forest Law Enforcement and Governance (FLEG) II European Neighbourhood and Partnership Instrumen...
Agricultural and forestry activities cover the majority of the EU territory: in particular agricultu...
The concept of social capital (SC) within the forest governance field encompasses networks, norms an...
Forests and forest-relevant policies in Europe face a wide array of challenges in a rapidly changing...
Climate change is a global challenge, with estimated mitigation costs ranging from $1.6 to $3.8 tril...
This Study aims to set a framework for the legal recognition of the Rights of Nature in the EU legal...
A spatiotemporal machine learning framework for automated prediction and analysis of long-term Land ...
In 2012, the European Union published its bioeconomy strategy and action plan. Many Member States wo...
Forests and other wooded lands cover around 42% of EU’s land area and provide a multiplicity of bene...
• Generally, the condition of European forests is deteriorating, with increasing mean defoliation of...
As largest source of renewable energy, forest-based bioenergy is an important source of energy for t...
European forests provide a set of fundamental services that contribute to climate change mitigation ...
This document summarizes the design process, definitions, and algorithmic implementation conducted b...
This document describes the design process, definitions, and algorithmic implementation for the pan-...
In the UK and globally, forestry is experiencing an upsurge in interest as forests are anticipated ...
The Forest Law Enforcement and Governance (FLEG) II European Neighbourhood and Partnership Instrumen...
Agricultural and forestry activities cover the majority of the EU territory: in particular agricultu...
The concept of social capital (SC) within the forest governance field encompasses networks, norms an...
Forests and forest-relevant policies in Europe face a wide array of challenges in a rapidly changing...
Climate change is a global challenge, with estimated mitigation costs ranging from $1.6 to $3.8 tril...
This Study aims to set a framework for the legal recognition of the Rights of Nature in the EU legal...
A spatiotemporal machine learning framework for automated prediction and analysis of long-term Land ...