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Sustainable deintensification? Geoff Squire
A B
*
* *
SUII, University of Strathclyde Glasgow, 24 May 2016 1
Graham Begg, Cathy Hawes, Pete Iannetta, Ali Karley
2
content
main trajectories - four phases of intensification
status of the maritime croplands – phase 4
implications of raising yield
deintensification – how, where
biotech crops
3
yield gap - global examples
grain yield (t/ha)
temperate wheat-barley
Squire, in press
4
the four phases of intensification …..
starting 1940s …
• realisation and reorganisation
• intensification
• levelling and regulation
• decline and degradation?
5
“great quantities of aquavitae”
6
0
1000
2000
3000
1940 1960 1980 2000 2020
a b
3 2 1
total grain
output (kt)
Wight 1784
Original data: SG National Statistics
nitrogen input Scotland
7
0
50
100
150
200
250
1940 1960 1980 2000 2020
year
2 3 1
kt nitrogen
Original data: Fertiliser Practice
pesticide
8
PAI
PAI = pesticide area index
Original data: SASA
0
1000
2000
3000
4000
0
1
2
3
4
5
6
7
8
1950 1970 1990 2010
PAI a
nd
HA
I
year
9
status of the maritime croplands
10
divergence due to intensification
• all fields can now be
ranked on nominal
intensity scale
• soil ‘poorer’ where >2 in
5 WW or 1 in 5 potato
0
2
4
6
8
10
1940 1960 1980 2000 2020
yiel
d p
er u
nit
are
a (t
ha-1
)
year
s barley
w wheat
intensity map for arable-grass
• survey of >100 fields, 2007
• agronomy and biophysical
(soil, plants)
• SCRI/SAC (SRUC/Hutton) • later data on landscapes
and cropping history • revisited • repeated, in part, 2014
11
field survey to assess status
Publications: Hawes et al. 2010; Valentine et al. 2012; Squire et al. 2015, etc.
12
divergence of trajectory
12
14
16
18
20
22
24
26
28
0.4 0.6 0.8 1 1.2 1.4
intensity index
L1
H1
H3
H2 L2
L0
soil clay content
(%)
75 fields, 5 crop-years
entering a fourth phase ?
13
1940 1960 1980 2000 2020
N
I II III
grain
?
• yield levelling • yield gap widening • some soils degrading • pesticide increasing
SUII, University of Strathclyde Glasgow, 24 May 2016
14
implications of raising yield
raising yield
• take people out of famine or hunger
• increased pollution / degradation (soil
disturbance and nitrogen)
• move from food to industrial crops
• encroach on other land to increase
profit
15
• (production decoupled from local food consumption)
• yield levelling, yield gap widening
• use efficiencies – variable, but pesticide less effective
• upper soil degrading in some sub-systems
• massive weed shift to grass and reduction of
uncommon plants
• but system is still responsive and still diverse in terms
of number of crops and mean intensity
16
…. is phase 4 beginning ?
SUII, University of Strathclyde Glasgow, 24 May 2016
17
deintensification …..
deintensification
• already happening in some areas
• will be forced by soil degradation
• definitely more N fixation (legumes)
• coupled with new high value products
(beans4feed, bean beer)
• less bulk production
18
19
how to deintensify?
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
0 20 40 60 80
rank
intensity index (N, P, PAI)
then decide on overall strategy
general deintensification
reduce to a threshold
common framework (A1)
SUII, University of Strathclyde Glasgow, 24 May 2016
limits and safe ranges T3.5
A B
*
* *
the green line is a process or function varying over time
need to define ranges A and B
within A, no special work or attention is needed
between A and B, work or remediation has to be applied
outside B, the system eventually collapses
soil nitrogen not limiting and not
polluting
soil nitrogen limiting crop production
soil nitrogen above critical
pollutant load N
availabil
ity
too little nitrogen to support plant life
soil too polluted (toxic) to grow plants
A
B
work 1
work 2
Bii
Bi
SUII, University of Strathclyde Glasgow, 24 May 2016
• six course rotation: Potato – Winter wheat – Winter barley – Winter
oilseed – Beans – Spring barley
• 42 ha, 6 fields
• split field design
Winter wheat
Potato
Spring barley
Spring beans Winter barley
Winter OSR
Centre for Sustainable Cropping
the sustainable cropping system
• nitrogen cycling
– fertiliser down to 75%, to be
gradually reduced further
– better nodulation and fixation
in legume crop
– clover undersowing
(additional N input in SB)
• organic matter and soil
condition
– compost addition (35t/ha)
– straw incorporation
– non-inversion tillage (10cm)
– tied-ridging (potatoes to
reduce erosion)
• crop varietal – testing under low input
conditions
– look for increased nutrient use efficiency
26
a role for biotech crops ?
biotech crops
• risk vs risk-benefit
• herbicide resistance – wide scale field
trialling
• blight tolerance in potato – small scale
field plots in two countries
• need for context setting and upscaling
27 SUII, University of Strathclyde Glasgow, 24 May 2016
pesticide reduction in oilseed rape?
herbicide tolerant oilseed rape
- major on-farm trials 2000-2004
- herbicide sprays down from 2.2 to 1.1 but small overall reduction in pesticide
- no effect on yield, negatives for biodiversity
- coexistence with non-GM almost impossible
no advantage to north-temperate cropping systems
SUII, University of Strathclyde Glasgow, 24 May 2016
pesticide reduction in potato?
blight tolerant potato
- two small plot-scale trials, Ireland and Netherlands
- fungicide sprays down to 20% of current in potato
- no effect on yield compared to fully sprayed and neutral for biodiversity (soil metagenomics and arthropod food web)
- major overall reduction of pesticide e.g. to 75% in low-input sequences, to 90% in high input
- where would it have most effect?
SUII, University of Strathclyde Glasgow, 24 May 2016
location of fields (B3)
potato fields red, other arable in black
all workings at scale of individual fields
(right) convert to grid for illustration
SUII, University of Strathclyde Glasgow, 24 May 2016
estimation of fungicide (B3)
proportion of crops in field / grid
estimate mean pesticide per crop from national census
for GM replace with trial site data
GM
GM
Conv.
Conv.
low input
high input
red/orange – high fungicide yellow – mid blue / green – low fungicide
5 x 5 km grid
SUII, University of Strathclyde Glasgow, 24 May 2016
32
next?
33
whole-system modelling and design
crop and agronomy
life forms
ecological processes
optimised outputs and
ES
networks of effect
Dexi software in action
store and flux models
• comparative assessment
• design of improved systems
SUII, University of Strathclyde Glasgow, 24 May 2016
deficiencies in understanding
• the problem of in-field corroboration (survey)
– cost / time
– skill shortage
– continuity
• ‘limits of concern’ unclear for many major variables
• N fixation and how to increase it
• crop ideotypes for adverse conditions
• unification of data (national statistics)
34 SUII, University of Strathclyde Glasgow, 24 May 2016
a suite of capabilities ………
• innovation stream – from science to outreach and practice
• scientific capability in agroecology, systems, soils,
biodiversity, genetics and breeding, etc.
• test platforms – Centre for Sustainable Cropping
• 3 experimental farms – lowland, upland, arable, stock
• in-house statistics, system modelling, decision aids
• farm networks across Scotland to track current trajectory
• outreach and education e.g. LEAF Innovation Centre, Living
Field www.livingfield.co.uk
• >50 EU and wider collaborations for global impact
35
………seamless knowledge chain
SUII, University of Strathclyde Glasgow, 24 May 2016