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F. Teillard, G. Allaire, E. Cahuzac, F. Léger, E. Maigné and M. Tichit
The spatial aggregation of agricultural intensity
What opportunities for policy targeting?
WCCA – Brisbane – September, 29th, 2011
F O O D
A G R I C U L T U R E
E N V I R O N M E N T
1
2Introduction
How to improve the efficiency of conservation policies?
One option : better spatial targeting (Feehan 2005, Uthes 2010)
05
00
10
00
15
00
20
00
Ag
ri-e
nv
iro
nm
en
t b
ud
ge
t (
10
6 €
)
1990 1995 2000 2005
0.6
0.7
0.8
0.9
1.0
Year
Fre
nc
h F
arm
lan
d B
ird
In
de
x
.
3Introduction – Objectives
Map agricultural intensity on large scale, at resolution adequate
for policy targeting
• We develop an intensity indicator
computable on large scale
• We estimate it at infra regional
resolution
• We map agricultural intensity and
test for its aggregation
.
.
4Methods – The intensity indicator
The Input Cost / ha intensity indicator (€ / ha)
• Relevant for the five main production types in France (84% of total UAA)
• Computed with FADN variables (Farm Accountancy Data Network)
• Estimated at higher resolution using other agricultural datasets
5Methods – Spatial scale and resolution
National scale, Small Agric. Region (“SAR”) resolution
0 20 40 60 80 100
50
60
70
80
90
10
0
Estimation resolution
Es
tim
ati
on
ac
cu
rac
y
Region
Department SAR
County
Municipality
100km
• Estimation
accuracy/resolution
trade-off
• The local Moran index of
spatial auto-correlation
High LM Low LM
6Results – Agricultural intensity indicator
The IC / ha indicator displays a broad intensity gradient
0 200 400 600 800 1000 1200
0.0
00
00
.00
10
0.0
02
0
Intensity - IC / ha (€ / ha)
Fre
qu
en
cy
7Results – Agricultural intensity indicator
Production types and cost structure along the intensity gradient:
Mainly
bovine livestock
All production
types
Mainly
indus. crops bovine dairy
< 300 €/ha > 500 €/ha
Fertilizers
Feed
Pesticides
Seed
Other
8Results – Agricultural intensity distribution
The distribution of agricultural intensity:
• Sharp regional contrasts
• Infra-regional heterogeneity
100km ≠
Random
Regional
averages
Intensity -IC / ha (€ / ha)
200
300
400
500
600
.
.
9Results – Agricultural intensity aggregation
Segregation of agricultural intensity: clusters of significant
aggregation within the two intensity extremes
100km
0 200 400 600 800 1000-0
.00
50
.00
50
.01
50
.02
5
Intensity - IC / ha (€ / ha)
Ag
gre
ga
tio
n (
loc
al M
ora
n)
Intensity -IC / ha (€ / ha)
300
500
Significant NSaggregation aggregation
10Discussion
We show strong spatial segregation of agricultural intensity
.
+ Indicator and method usable in other countries
- Other intensity components should be combined with the IC/ha
11Discussion
The theory (Primdahl 2003, Kleijn 2003) :
“Improvement” measuresTarget most sensitive area
Reverse biodiversity decline?
Our results give opportunity for going from theory to practice
.
“Protection” measuresTarget high quality areas
Current focus
12
Thank you
Funding 2009-2012: FarmBird Project
“Coviability models of FARMing and BIRD biodiversity”
email: [email protected]
Submitted paper: The spatial aggregation of agricultural intensity: what implications
for conservation policies?