
Within the
FAIR-program
(Agriculture and Fisheries) of the European
Union, this project adresses biodiversity in terms of genetic
diversity within and between carrier species of Alpine forest ecosystems.
It will create a novel data pool in order to better understand the
function and dynamics of ecosystems and to tansfer results into practice.
By this, our project will also help to implement the
Strasbourg/Rio/Helsinki processes in conservation of biodiversity in
forest ecosystems.
Alpine forest ecosystems are increasingly threatened by environmental
changes and are modified by forest management and land-use. Genetic
diversity plays a major role in the sensitivity, stability and dynamics of
ecosystems, because it determi-nes the adaptive potential of species to
changing environments. Until now there is a lack of genetic inventories in
Alpine ecosystems. Our project focuses on carrier tree species in high
elevated regions, i. e. habitats with high priority in preservation.
Species are Abies alba, Larix decidua, Picea abies, Pinus cembra,
and Pinus mugo. Species will be studied simultaneously along
elevetional
transects
up to the timberline at 15 locations throughout the Alps. Work is
subdivided into three packages:
1 Sampling and monitoring
Assessment of diversity within species (intra- and interpopoulational) and among species by means of isoenzymes, DNA-markers and metric traits. Populations are adult stands, natural/artificial regeneration, provenance and other field trials, commercial reproductive material.
2 Analysis and modelling
Quantification of biodiversity incl. metric traits and genetic resources; prediction of dynamics with respect to reproduction, response to stress, adapation and high risk situations following genetic erosion and inbreeding.
3 Validation and exploitation of results
Novel data base for interdisciplinary characterization of high elevated ecosystems (ecological base for sustainable development); evaluation methods for genetic resources and genetic certification; genetic criteria for conservation and restoration of high elevated forest ecosystems, sustainable forest management; genetically improved reproductive material for afforestation.
4 Coordination and diffusion
The main objective is to establish standard principles
for the choice of populations and sampling, genotyping, compilation of
data, analysis, validation, and exploitation of results, and to propose a
common data structure of European dimension.
Key words: biodiversity, genetic variation, geographic differentiation, adaptation, conservation, forest reproductive material, afforestation, sustainable management.
© F. Gugerli - last update: 12.03.99