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The Agroforestree (AFT) Database is a species reference and selection guide for agroforestry trees. In the context of the database, agroforestry trees are those that are deliberately grown or kept in integrated land-use systems and are often managed for more than one output. They are expected to...read more
The Agroforestry Species Switchboard is a one-stop-shop to retrieve data about a particular plant species across a wide range of information sources. Its particular objective is to provide information that supports research on trees and tree-based development activities such as agroforestry...read more
Wood density is mass of wood per unit volume. It is an important trait for estimating stored biomass and carbon content per unit volume of tree stem (Chave et al. 2009 ).
The African Wood Density Database provides air-dry wood density data for over 900 indigenous and exotic tree species...read more
The Agroforestree (AFT) Database is a species reference and selection guide for agroforestry trees. Agroforestry trees are those that are deliberately grown or kept in integrated land-use systems and are often managed for more than one output.
The Agroforestree Database provides...read more
A manual and software for common statistical methods for ecological and biodiversity studies. Effective data analysis requires familiarity with basic concepts and an ability to use a set of standard tools, as well as creativity and imagination. Tree diversity analysis provides a solid practical...read more
Naturally African is a Pan-African Innovation Platform that seeks to link research, information and policy geared towards promoting opportunities for small scale African Natural Products Enterprises.The platform gives priority to the creation of new market opportunities; equitable returns to...read more
In the last decade, there has been an enormous increase worldwide in the use of molecular marker methods to assess genetic variation in trees. These approaches can provide significant insights into the defining features of different taxa and this information may be used to define appropriate...read more
This directory is intended to contribute to the informed use of tree germplasm, which is an essential component of sustainable forestry and agroforestry practices, and promote wider use of quality germplasm. Quality has both a genetic and a physiological component, and both are described in the...read more
RHEA is focused on the design, development, and testing of a new generation of automatic and robotic systems for both chemical and physical –mechanical and thermal– effective weed management focused on both agriculture and forestry, and covering a large variety of European products including agriculture wide row crops (processing tomato, maize, strawberry, sunflower and cotton), close row crops (winter wheat and winter barley) and forestry woody perennials (walnut trees, almond trees, olive groves and multipurpose open woodland).
RHEA is focused on the design, development, and testing of a new generation of automatic and robotic systems for both chemical and physical –mechanical and thermal– effective weed management focused on both agriculture and forestry, and covering a large variety of European products including agriculture wide row crops (processing tomato, maize, strawberry, sunflower and cotton), close row crops (winter wheat and winter barley) and forestry woody perennials (walnut trees, almond trees, olive groves and multipurpose open woodland).
The goal of GenTree is to provide the European forestry sector with better knowledge, methods and tools for optimising the management and sustainable use of forest genetic resources (FGR) in Europe in the context of climate change and continuously evolving demands for forest products and services.
The goal of GenTree is to provide the European forestry sector with better knowledge, methods and tools for optimising the management and sustainable use of forest genetic resources (FGR) in Europe in the context of climate change and continuously evolving demands for forest products and services.
