HAL Id: hal-01458498
https://hal.archives-ouvertes.fr/hal-01458498
Submitted on 6 Jun 2020
HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci- entific research documents, whether they are pub- lished or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers.
L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.
CLIMASTER: climatic change, farming systems, natural resources and regional development
Philippe Mérot, Chantal Gascuel, Samuel Corgne, Daniel Delahaye, Alexandre Joannon, O. Planchon, J.P. Arrondeau, P. Desnos
To cite this version:
Philippe Mérot, Chantal Gascuel, Samuel Corgne, Daniel Delahaye, Alexandre Joannon, et al.. CLI- MASTER: climatic change, farming systems, natural resources and regional development. Agriculture, Water Management and Climate Change, Mar 2008, Bath, United Kingdom. pp.1. �hal-01458498�
CLIMASTER: “Climatic change, farming systems, natural resources and regional development”
P. Merot, C. Gascuel-Odoux, S. Corgne, D. Delahaye, A. Joannon, O. Planchon, J.P. Arrondeau, P. Desnos
Farming Systems
Regional development
Relevant variables
Additional effects
Water, Landscape management Agricultural development
Animal breeding Pasture
Originality of the project
Farming Systems
Regional development
Relevant variables
Additional effects
Water, Landscape management Agricultural development
Animal breeding Pasture
Originality of the project
Climate change
Natural Resources
Erosion, nutrient fluxes,…
Most of the papers
Climate change
Natural Resources
Erosion, nutrient fluxes,…
Most
of the
papers
CLIMASTER: “Climatic change, farming systems, natural resources and regional development”
Hypothesis:
• Farmers and water managers have already taken account of some impacts of climatic changes, especially those linked to extreme conditions. Analysing them allows to better anticipate the adaptations and their impacts.
Objectives:
• To address the interactions between the climatic change, the farming systems, the natural resources and the
regional development.
• To develop a shared perspective on climate changes between scientists, stakeholders and citizens: 10
research teams and 15 structures devoted to territorial
development and farmer advising.
CLIMASTER: “Climatic change, farming systems, natural resources and regional development”
WP 1. To assess the regional climatic changes: trends, variability and extreme events and effects
WP 2. To analyse the way farmers account for climatic changes in their practices. Survey & Remote sensing WP 3. To analyse the impact of climatic changes on the
natural resources, mainly soil and water quality. C &
erosion. N, DOC and SS.
WP 4. To analyse the position of farmers in a
sociological and psycho-sociological perspective
0 20 40 60 80 100 120 140 160 180
1971/72 1973/74 1975/76 1977/78 1979/80 1981/82 1983/84 1985/86 1987/88 1989/90 1991/92 1993/94 1995/96 1997/98 1999/00 2001/02
flux spécifiques (kg/ha/an)
30 catchments 60% of the regional surface water
Aurousseau et al.
Trends
Farming System N Fertilisation increasing Starting point
1976 : Climate A dry summer
Cycles Climate (NAO) Cycles of rainy years
N kg/ha/year 1972 to 2004
Before 76: supply limited process, controlled by annual mineralisation, Temp
After 76 : transport limited process, controlled by Rainfall and N storage in shallow GW
Y = 0,09 X + 4,89 R2= 0,72
Y = 0,15 X + 4,90 R2= 0,47
Y = 0,15 X + 3,72 R2= 0,78
4 5 6 7 8 9 10 11
1971
1972 1973 1974 1975 1976 1977
1978 1979 1980 1981
1982 1983
1984 1985 1986
1987 1988
1989 1990
1991 1992
1993 1994 1995
1996 1997 1998 1999 2000
Brooken Scar Léguer Yar
Moyennes glissantes sur 3 ans
Y = 0,09 X + 4,89 R2= 0,72
Y = 0,15 X + 4,90 R2= 0,47
Y = 0,15 X + 3,72 R2= 0,78
4 5 6 7 8 9 10 11
1971
1972 1973 1974 1975 1976 1977
1978 1979 1980 1981
1982 1983
1984 1985 1986
1987 1988
1989 1990
1991 1992
1993 1994 1995
1996 1997 1998 1999 2000
COD (averageper year, mg/L)
Brooken Scar Léguer Yar
3 years moving average
Y = 0,09 X + 4,89 R2= 0,72
Y = 0,15 X + 4,90 R2= 0,47
Y = 0,15 X + 3,72 R2= 0,78
4 5 6 7 8 9 10 11
1971
1972 1973 1974 1975 1976 1977
1978 1979 1980 1981
1982 1983
1984 1985 1986
1987 1988
1989 1990
1991 1992
1993 1994 1995
1996 1997 1998 1999 2000
Brooken Scar
Y = 0,09 X + 4,89 R2= 0,72
Y = 0,15 X + 4,90 R2= 0,47
Y = 0,15 X + 3,72 R2= 0,78
4 5 6 7 8 9 10 11
1971
1972 1973 1974 1975 1976 1977
1978 1979 1980 1981
1982 1983
1984 1985 1986
1987 1988
1989 1990
1991 1992
1993 1994 1995
1996 1997 1998 1999 2000
Brooken Scar Léguer Yar
Moyennes glissantes sur 3 ans
Y = 0,09 X + 4,89 R2= 0,72
Y = 0,15 X + 4,90 R2= 0,47
Y = 0,15 X + 3,72 R2= 0,78
4 5 6 7 8 9 10 11
1971
1972 1973 1974 1975 1976 1977
1978 1979 1980 1981
1982 1983
1984 1985 1986
1987 1988
1989 1990
1991 1992
1993 1994 1995
1996 1997 1998 1999 2000
COD (averageper year, mg/L)
Léguer Yar
Moyennes glissantes sur 3 ans
Y = 0,09 X + 4,89 R2= 0,72
Y = 0,15 X + 4,90 R2= 0,47
Y = 0,15 X + 3,72 R2= 0,78
4 5 6 7 8 9 10 11
1971
1972 1973 1974 1975 1976 1977
1978 1979 1980 1981
1982 1983
1984 1985 1986
1987 1988
1989 1990
1991 1992
1993 1994 1995
1996 1997 1998 1999 2000
COD (averageper year, mg/L)
Brooken Scar Léguer Yar
3 years moving average
DOC, mg/l average per year 1971-2000
Similar analysis
Farming system (manure) Organic matter in soil Wetland Management
0 20 40 60 80 100 120 140 160 180
1998_1999 1999_2000 2000_2001 2001_2002 2002_2003 2003_2004 2004_2005 2005_2006 2006_2007 2007_2008 2008_2009 2009_2010 2010_2011 2011_2012 2012_2013 2013_2014
kgNha-1
déstockage flux arrivant à la rivière
-20 0 20 40 60 80 100
1998_1999 1999_2000 2000_2001 2001_2002 2002_2003 2003_2004 2004_2005 2005_2006 2006_2007 2007_2008 2008_2009 2009_2010 2010_2011 2011_2012 2012_2013 2013_2014
kgNha-1
déstockage flux arrivant à la rivière
The future depends on the past…1999-2014
Ratio of N stored in GW / total N fluxes (Durand et al.)
1) High N input and high N storage 2) High N input and low N storage WET DRY - 30% of N input
WET DRY
