-
Using CAPSIS to assess the genetic impacts of sylviculture
R&D project funded by RMT AFORCE & CG
Vaucluse2017-2018
INRA (Avignon, Montpellier, Orléans)ONF (RD&I, 84)
CNPF-IDFPNR Luberon & CG84
SF-CDC
François Lefèvre, INRA URFM,
[email protected]
-
IPCC 2013
Climate change : not just a change of state but a state of
change
multiple uncertainties : global scenarios & local impacts
extreme events complexe interactions impact of adaptive
measures
forestry horizon
-
Anticipate risks and opportunities, consider uncertainties for
each decision, identify short-term and long-term benefits and risks
anticipate and manage possible trade-offs between short- vs
long-term
Short-term : more constraint, less uncertainty =>
adaptation
Long-term : less constraint, moreuncertainty => preserve
options
IPCC 2013
forestry horizon
-
Rationale of this project
1) Genetic diversity is a lever for adaptation in the context of
change and uncertainties
-
Native range Mean annual Tmean Tmean& use range
precipitation coldest month hottest month
California (5 pops) 420 – 700 10 – 11 16 – 18
N-Z (Southland) 960 – 1000 3 – 5 13 – 15 N-Z (Kaingaroa) 1300 –
1500 7 – 9 11 – 19 Chile (Valdivia) 2350 7.7 17
South Afr. (Cap) 900 – 1100 10 – 13 20 – 24
Aust. (Bathurst) 650 – 950 0.4 – 0.6 24 – 28Aust. (Tumut) 800 –
1300 0.5 – 0.8 25 – 30
China (Aba,Sichuan) 490 – 590 -3.4 – -0.7 25 - 28
Pinus radiata : extended climatic use range after breeding and
selection
Yan et al (2006) For Ecol Manag
-
Introduction of Cedrus atlantica in France
French provenances perform better in the provenance tests
Height
Diameter
-
Skrøppa et al 2010 Tree Genet Genomes
Date
Date
% budset
% budset
Rapid genetic changes in phenology in 1 generation after
transplantation
Introduction of Picea abies in Norway
-
… but everything is not possible, species' niches still have
limits and there
are empty niches, there are also constraints that limit
adaptation :
1. genetic constraints
2. developmental constraints
3. lack of genetic diversity
4. demographic stochasticity
5. random genetic drift
6. low mortality
7. asymetric gene flow (e.g. niche limit)
Futuyma 2010 Evolution ; Kuparinen et al 2010 For Ecol Manag
-
Rationale of this project
1) Genetic diversity is a lever for adaptation in the context of
change and uncertainties
2) Forests generally harbor a large genetic diversity that
contribute to their evolvability, i.e. genetic flexibility
-
Trees have more genetic diversity than other organisms
Some trees have much less genetic diversity than others(Pinus
pinea, Pinus resinosa…)
Current genetic diversity is determined by : - phylogeny -
ancient processes - current processes
annual trees plants
nb species 196 226mean nb pop. 9.2 18.1mean nb loci 18.1
16.2
total diversity (HeT) 0.177 > 0.154within pop diversity (Hs)
0.148 > 0.101differentiation (FST) 0.084 < 0.355
Hamrick et al 1992New Forests
-
19 traits 59 tree species
Phenology traits, 27 European conifers
16 sp. 11 sp. range fragmented continuous
mean He 0.171 0.209
mean FST 0.082 0.044
mean QST 0.192 0.463
Alberto et al 2013 Global Change Biol
A large genetic diversity within stands, even for functional
traits
-
Rationale of this project
1) Genetic diversity is a lever for adaptation in the context of
change and uncertainties
2) Forests generally harbor a large genetic diversity that
contribute to their evolvability, i.e. genetic flexibility
3) Evolvability is variable, locally driven by neutral processes
and selection on which practices may have a significant impact
-
Pichot et al, 2006
Impact of density on mating success in Pinus sylvestris
-
Sagnard, 2001
Impact of spatial arrangement on SGS of the regeneration
-
Lefèvre et al, 2004 ; Karam, 2014
Combination of genetic processes during introductiontheir
combination may contribute to the performance
-
forestry practice induced changes impacted selection and genetic
drift parameters
local density environment(competition)
mating system(s, Nep)
allocation to reproduction
spatial structure
phenotypic selection
environment(biotic / abiotic)
selective thinning
systematicthinning
pruning
mechanical or chemical treatments
Ne (A², F)
P², A²,
i
var. reproductive success (V)
A process-based approach to assess the impact of practices on
FGR drivers
Lefèvre et al 2014 Ann For Sci
Evolution-oriented forest management
-
Rationale of this project
1) Genetic diversity is a lever for adaptation in the context of
change and uncertainties
2) Forests generally harbor a large genetic diversity that
contribute to their evolvability, i.e. genetic flexibility
3) Evolvability is variable, locally driven by neutral processes
and selection on which practices may have a significant impact
4) Simulations are required to test innovative forest management
practices, e.g. combining natural regeneration and plantation
systems
-
forestry horizonGenetic impacts of management
practices on the dynamics of adaptation (100 or 200 years) ?
Plantation after clear-cut (static /dynamic)
Genetic enrichment plantation
Environmental engineering
Systematic thinnings (intensity, regime)
Selective thinnings (criteria, intensity)
Prunning
Evolution-oriented forest management
-
Objectives of the project
Develop a simulation tool to compare management options in
different contexts, and implement in 2 case studies
Integrate genetic diversity and processes in simulation tools
currently used by the R&D to assess the genetic impacts of
sylviculture on the current population and the next generations of
trees
User friendly interface to parameterize simulations and analyse
output indicators of genetic impacts
Simple demo-genetic model to assess genetic impacts, not
functional, sanitary or economic impacts
-
Initial genetic diversity & structure
(quantiNemo, Metagene)
Demo-genetic processes
(CAPSIS)
Indicators of genetic impacts
(CAPSIS or R?)
4) qu’est-ce qu’un modèle démo-génétique
-
Management options and contexts
1) Forest dynamics with regeneration and disturbance regime
2) Practices related to the introduction of new genetic material
Impacts of the design of introduction of new genetic material on
the
local and the introduced gene pools Impacts of the design of
introduction on the neighboring plot Rational management of genetic
mixtures
3) Practices related to stand management Impacts of
adaptation-oriented sylviculture practices in even-aged
and non even-aged stands Valorize environmental heterogeneity to
foster genetic adaptation Reserve of long lasting old trees New
practices of evolution-oriented forest management
-
1) Demo-genetic parameters and processes Genetic architecture of
growth and survival performance with
trade-off vigour x resistance to disturbance Inbreeding
depression Individual and temporal variation of reproduction Pollen
and seed flow
2) Indicators of genetic impact (at least 2 generations)
Demography (survival, growth, reproduction), mean and variance
Sensitivity to disturbance, mean and variance Genetic diversity
(various parameters), on QTL and global Evolvability (various
parameters) Inbreeding, mean and variance Spatial genetic structure
...
Demo-genetic parameters and indicators
-
Evolution-oriented forest management
Lefèvre et al 2014 Ann For Sci
Innovative practices
-
Evolution-oriented forest management
Lefèvre et al 2014 Ann For Sci
Innovative practices
-
Some references
Savolainen O, Kärkkäinen K (1992) Effect of forest management on
gene pools. New Forests 6:329–345.
Lefèvre F (2004) Human impacts on forest genetic resources in
the temperate zone: an updated review. Forest Ecology and
Management, 197:257-271.
Dreyfus et al (2005) Couplage de modèles de flux de gènes et de
modèles de dynamique forestière. Les Actes du BRG, 5:231-250.
Oddou-Muratorio et al (2005) Comment les pratiques forestières
influent-elles sur la diversité génétique des arbres forestiers ?
RdVT ONF, hs n°1:3-6,
Pichot et al (2006) Déterminants et conséquences de la qualité
génétique des graines et semis lors de la phase initiale de
régénération naturelle des peuplements forestiers. Les Actes du
BRG, 6:277-297.
Valadon A (2009). Effets des interventions sylvicoles sur la
diversité génétique des arbres forestiers, analyse bibliographique.
Les Dossiers Forestiers de l’ONF, N° 21, 157p
Lefèvre et al (2014) Considering evolutionary processes in
adaptive forestry. Annals of Forest Science, 71:723-739
Lefèvre et al (2015) Les processus biologiques de réponse des
arbres et forêts au changement climatique : adaptation et
plasticité phénotypique. Innovations Agronomiques, 47:63-79.
Diapo 1Diapo 2Diapo 3Diapo 4Diapo 5Diapo 6Diapo 7Diapo 8Diapo
9Diapo 10Diapo 11Diapo 12Diapo 13Diapo 14Diapo 15Diapo 16Diapo
17Diapo 18Diapo 19Diapo 20Diapo 21Diapo 22Diapo 23Diapo 24Diapo
25Diapo 26Diapo 27