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Page 1: ORACLE - Agence nationale de la recherche · ORACLE Opportunities and Risks for Agrosystems and forests in response to CLimate, socio-economic and policy changEs in France !!!!!CONTEXT,ISSUESandOBJECTIVES(!

ORACLE Opportunities and Risks for Agrosystems and forests in response to CLimate, socio-economic and policy changEs in France

         CONTEXT,  ISSUES  and  OBJECTIVES    

There   is   a   need   to   provide   insights   on   i)   the   poten1al   risks   and  opportuni1es  for  agriculture  and  forestry,  and  ii)  the  possible  future  pa:erns  of  land-­‐uses.  For  that  we  need  to  account,  simultaneously,  for   a)   climate   change  and   its   expected  effects  on  e.g.  produc1vity,  and  b)  the  evolu1on  of  the  socio-­‐economic  and  policy  environment.  However,  the  la:er  depending  on  the  former,  their  links  need  to  be  accounted  for.    

Our  objec1ves  are  many-­‐fold:  Ø  Evaluate   the   impacts  of   various   climate  change   scenarios  on   the  func1oning   of   managed   ecosystems   (large-­‐scale   crops,   forests,  pasture);  

Ø  Calculate  the  implica1ons  of  those  changes  on  land  uses;  Ø  Calculate   the   implica1ons   of   changing   policies,   or   launching  adapta1on  and  /or  mi1ga1on  prac1ces  on  land  uses;  

Ø  Evaluate   how   both   climate   change   and   policy/adapta1on/mi1ga1on  measures  combine  to  influence  land  uses;  

Ø  Evaluate   whether   changes   in   land   uses   are   sustainable   from   an  hydrological  point  of  view  in  the  Seine  basin.  

           METHODS    

We  have  developed  the    two-­‐step  methodology  illustrated  below:             

   

   

Contact  :  nathalie.de-­‐[email protected]  ;  Site  web:  h:ps://oracle.lsce.ipsl.fr/          

       STRENGTHS    

      To   be:er   address   the   impacts   of   climate   change   on   large-­‐scale  crops,   we   combined   sta1s1cal,   mechanis1c   and   indicators’  approaches.  More  specifically  we  have:  -­‐  Developed   agro-­‐ecological   indicators   to   iden1fy   the   main  meteorological  stress  to  be  avoided  by  plants;  

-­‐  Ques1oned  the  poten1al  of  global  vegeta1on  models  (here  ORCHIDEE-­‐IPSL  and  ISBA-­‐CNRM)  to  produce  useful  indicators.  

        A   flexible   modelling   approach   (CliMul1CS)   was   developed   to  design   crop   systems   that   will   be   able   to   cope  with   future   climate  changes  (Mo$es  et  al.  in  prep.):  -­‐  It   assesses   cropping   system   performances   based   on   12   criteria  

(e.g.  yield,  water  quality,  soil  quality,  GHG  emissions);  -­‐  It  responds  to  climate  change;  -­‐  It  includes  expert  as  well  as  scien1fic  knowledge.  

           The  limits  between  the  U1lized  Agricultural  Area  (SAU  in  french)  and   the   area   of  managed   forests  may   change   in   response   to   both  climate   change   and   policy/adapta1on/mi1ga1on   measures   (see  Figure  showing  Methodology-­‐2).    

       SAMPLE  of  the  SCIENTIFIC  PRODUCTION    

•  Leclère,  D.,  P.-­‐A.  Jayet,  N.  de  Noblet-­‐Ducoudré,  2013,  Ecological  Economics,  87,  P.  1-­‐14  

•  Lobianco,  A.,  Ph.  Delacote,  S.  Caurla,  2015,  Ecological  Modelling,  309-­‐310,  p.  82-­‐92  

•  Caubel,  J.,  I.  Garcia  de  Cortazar-­‐Atauri,  M.  Launay,  N.  de  Noblet-­‐Ducoudré,  F.  Huard,  A.-­‐I.  Graux,  2015,  Agricultural  and  Forest  Meteorology,  207,  p.  94-­‐106  

 

       PERSPECTIVES    

• Map  the  French  areas  where  a  specific  agroecosystem  is  either  at  risk  or  poten1ally  cul1vable.  

•  Study   the   poten1al   of   U1lized   Agricultural   Area   to   shrink   or  expand,  together  with  the  forested  area.  

• Make  our  indicators  available  for  Agricultural  Chambers    

Develop  and  Analyze  VarieGes  of  Agro-­‐Ecologic  Indicators  (characterize  the  funcGoning  and  the  management  of  large-­‐scale  crops,  e.g.  wheat,  

corn,  sunflower,  …)  Calvet  et  al.  2012;  Wilcox  and  Makowski  2014;  Caubel  et  

al.  2015;  Laania  et  al.  subm.  

Climate  Change  Scenarios  at  the  scale  of  France  [8km*8km]  

SRES  A1b,  B1  and  A2  (1  climate  model)  SRES  A1b  (13  climate  models)  

Policy,  MiGgaGon,  and  AdaptaGon  Scenarios  (e.g.  greenhouse  gas  taxes,  intensity  of  Gmber  

harvesGng)  

Fixed  UGlized  Agriculture  Area:  AdaptaGon  via  1)  management  (e.g.  sowing  dates,  irrigaGon,  choice  of  culGvars),  2)  land  

reallocaGon  between  various  crops,  crop  versus  pasture  land  

Leclère  et  al.  2013  

Fixed  Area  of  Managed  Forests:  AdaptaGon  via  choice  of  species  and/or  

management  strategies  Lobianco  et  al.  2015  

Develop  and  Analyze  the  Changes  in  Forest  DistribuGon  and  ProducGvity  [per  specie]  Wernsdörfer  et  al.  2012;  Bontemps  et  al.  subm.  

Metho

dology  -­‐  1  

INPUTS

Bio-Ecologic Models + Agro- Ecologic Indicators Economic Models

OUTPUTS

Metho

dology  -­‐  2  

Lungarska et al. in prep.

ClimaGc  

an  annual  view  of  climate  change,  using  agro-­‐relevant  indicators  

Eco-­‐ClimaGc  

Sub-annual analysis of Climate for agricultural purposes

when / what meteorological stresses will crops meet in the future? Will producers meet the conditions for potential climatic

productivity?

Integrated  

the climate is read by a generic model, and transformed into quantities that describe the

functioning of the ecosystem (natural or managed)

~17°C

~16°C

~19°C

The  link  between  the  mean  annual  temperature  of  France,  and  the  dura1on  of  the  longest  heat  wave  

growing heat wave length

Yield  from

 specific  mod

el:  STICS  (t/

ha)  

Derived  Yield  from  ORCHIDEE’s  outputs  

Sunflower

1970-­‐2000   2020-­‐2050   2070-­‐2100  

Feas

ibili

ty o

f rai

n-fe

d co

rn

Increased interannual variability

Decreased feasibility

Corn in Toulouse

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