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<title><string language="fre"><![CDATA[[COLLOQUE] GENTREE Final Conference 27-31 January 2020 séance 27]]></string></title>
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<string language="fre"><![CDATA[GENTREE Final Conference :
François LEFÈVRE - INRAE Avignon · France
GENTREE Final Conference 'Genetics to the rescue - managing forests sustainably in a changing environment'
27-31 January 2020, Avignon, France
http://www.gentree-h2020.eu/
François LEFÈVRE - INRAE Avignon · France : How much genetic
selection for growth can result from silviculture? A new demo-genetic
simulation approach.
The genetic composition of forest stands dynamically evolves driven
by the combination of natural processes and management practices.
Evolution-oriented forest management consists in understanding and
stewarding these combined processes to enhance short-term adaptation
and productivity while maintaining long-term evolvability.
Silviculture is a sequence of practices, each having multiple
possible genetic impacts, depending one on the other. Moreover,
silvicultural practices interact with demographic changes due to
other natural causes like environment changes. 
All these dependencies
and interactions make an analytical approach of the resulting
evolutionary dynamics, based on quantitative genetics, very complex.
Here, we developed a demo-genetic simulation approach of this issue.
Previous demo-genetic models in forest systems mainly focused on the
possible impacts of silviculture on the overall (neutral) gene
diversity. 
Here we focus on the selection effects on growth.
We
coupled a quantitative genetics model to a growth dynamics model
calibrated for Cedrus atlantica, and simulated various scenarios of
silviculture, using the CAPSIS simulation platform
(http://capsis.cirad.fr/capsis/help_en/luberon2).
We compared the
effect of various management practices on (i) the growth, (ii) the
genetic quality and (iii) the evolutionary potential of the stand. 
We
show that different silviculture sequences may result in very
different levels of selection intensity for growth, which have
different impacts on the dynamics of genetic means and variances from
one generation of trees to the next. 
We also show the importance of
all stages of interventions, including those in the juvenile stage,
on the final genetic impacts. 
Finally, we show that the effective
genetic impacts of a given silviculture guideline are highly
influenced by pragmatic choices in the forest and by local
disturbance regimes. 
This work should be considered as a “proof of
concept” showing that demo-genetic models coupling forest dynamics,
quantitative genetics, silviculture practices and natural
disturbances are feasible.
Such models provide a powerful approach to
investigate the potential genetic impacts of silviculture and guide
evolution-oriented forest management. 
We are currently extending this
approach to other species and other contexts.]]></string></description>
<keyword><string language="fre"><![CDATA[climate change]]></string></keyword><keyword><string language="fre"><![CDATA[avignon 2020]]></string></keyword><keyword><string language="fre"><![CDATA[inrae]]></string></keyword><keyword><string language="fre"><![CDATA[europe]]></string></keyword><keyword><string language="fre"><![CDATA[grant agreement No 676876]]></string></keyword><keyword><string language="fre"><![CDATA[forest genetic resources]]></string></keyword><keyword><string language="fre"><![CDATA[FGR]]></string></keyword><keyword><string language="fre"><![CDATA[tree species]]></string></keyword><keyword><string language="fre"><![CDATA[GenTree]]></string></keyword>
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