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Primary Industries Climate Challenges Centre
Climate change and Australian Agriculture
Richard Eckard
• Physical– Temperature, rainfall, atmospheric CO2
– Extreme events
• Policy– Paris COP21 agreement
– Emissions trading, carbon pricing
• People– Supply chain demands
– Carbon neutral agriculture
– Changing consumer preferences
The 3Ps of Climate Change
• Rainfall & Climate variability
– Highest in Australia and South Africa
– Climate change adds another challenge
Introduction
Variability of Annual rainfall
0
2
4
6
8
10
12
14
16
18
20
Australia S. Africa Germany France NZ India UK Canada China USA Russia
Country
Co
eff
icie
nt
(%)
(100 years of data for Australia and generally also for the other countries)
Love (2005)
• Climate has already warmed
– by ~1⁰C since 1910
What has already changed?
BoM 2019
Rainfall – Southern wet season
• There has been a decline of around 11% in April–October rainfall in SE
Australia since the late 1990s.
• Streamflow has decreased across southern Australia.
Autumn rainfall decline
Rainfall – Northern wet season
What has already changed?
Rainfall – Last 15 yearsSub-tropical ridge has strengthened and rainfall zones have moved south
BoM 2018
• Increasing frequency and severity of heat events
Extreme Climate Events
World Economic Forum – Global Risks Report
What will KI look like in 2050?
www.climatechangeinaustralia.gov.au
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Primary Industries Climate Challenges Centre
Existing impacts on agriculture
Impacts on agriculture - Wheat
Wheat yields have stalled in Australia since 1990, with productivity gains only keeping pace with climate change
Hochman et al. 2017
Impacts on agriculture - Wheat
Hochman et al. 2017
Impacts on agriculture - Grapes
• Maturation date has advanced by 8 days per decade. • 44 vineyard blocks across 12 regions 1946 - 2009
• The Tasmanian Vineyard area has grown by 540% over the last 20 years.
-30
-20
-10
0
10
20
30
40
1950 1960 1970 1980 1990 2000 2010
Day
of
Year
-M
atu
rity
Webb et al. 2012Hochman et al. 2017
Maturation dates advancing about eight days per decade
Webb et al. 2012Day of the Year
Gra
pe
su
gar
con
cen
trat
ion
Wine – Pinot Noir
Impacts on agriculture – Grapes
0.00
500.00
1,000.00
1,500.00
2,000.00
2,500.00
3,000.00
To
nn
es
Week Beginning
2016 Weekly Grape Intake
compare 2002 to 2015 Vintage Average
Source: Brown Brothers
Impacts on agriculture - Cotton
Cotton industry in Southern NSW and Vic
Since 2001• Cotton acreages increased by 420%• Cotton production increased by 700%
• Cotton now in Victoria• Combination of technology and climate change
Impacts on agriculture – Pastures
Based on A1FI emissions (highest) scenario
Cullen, Eckard et al (2009)
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Pa
stu
re g
row
th r
ate
(k
g D
M/h
a.d
ay)
0
20
40
60
80
100
Baseline
2030 climate
2070 climate
Will change the seasonal pattern of pasture growth
With higher pasture growth rates in winter and early spring
but a contraction of the spring growing season
Impacts on agriculture – PasturesPast 15 years
The last 15 years look more like the 2030/2050 predicted in 2009
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Pas
ture
gro
wth
rate
(k
g D
M/h
a.d
ay)
0
20
40
60
80
100
Baseline
2030 climate
2070 climate
0
20
40
60
80
Jan
Feb
Mar
Ap
r
May Jun
Jul
Au
g
Sep
Oct
No
v
Dec
Pas
ture
Gro
wth
Rat
e (k
g D
M/h
a/d
)
Elliott
1971-1999 2000-2015
0
20
40
60
80
Jan Mar May Jul Sep NovP
astu
re G
row
th R
ate
(kg
DM
/ha/
d)
Ellinbank
1971-1999 2000-2015
0
20
40
60
80
Jan
Feb
Mar
Ap
r
May Jun
Jul
Au
g
Sep
Oct
No
v
Dec
Pas
ture
Gro
wth
Rat
e (k
g D
M/h
a/d
)
Terang
1971-1999 2000-2015
Cullen, Eckard et al (2009)
Impacts on agriculture – Pasturespast 15 years
0
5
10
15
20
25
30
35
40
45
50
0
2
4
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1959 1969 1979 1989 1999 2009 2019
Var
iab
ility
(C
V%
)
An
nu
al y
ield
t D
M/h
a
Ellinbank
0
5
10
15
20
25
30
35
40
45
50
0
2
4
6
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10
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20
22
1959 1969 1979 1989 1999 2009 2019
Var
iab
ility
(C
V%
)
An
nu
al y
ield
t D
M/h
a
Elliott
Perera, Cullen, Eckard (2018)
Increasing in variability in pasture growth
Cause of changing pasture patterns
Perera, Cullen, Eckard (2018)
Cumulative spring and summer soil water deficit 1960-2015
Tiller death in Fescue
Perera, Cullen, Eckard (2018)
Impacts on agriculture –Soil Carbon in Future Climates
-100%
-80%
-60%
-40%
-20%
0%
20%
40%
60%
Calcarosol: highC Calcarosol: low C Sodosol: high CSodosol: low C
Chromosol: highC Chromosol: low C
Vertosol: highC
Vertosol: lowC
Change in 2070-2090 average stocking compared to detrended climate
8.5 hot/dry 8.5 warm/dry 4.5 hot/dry 4.5 warm/dry 8.5 intermediate
4.5 intermediate 4.5 hot/wet 4.5 warm/wet 8.5 hot/wet 8.5 warm/wet
Birchip Hamilton
Wetter
Drier
Change in 2070/90 average SR with climate change
Calcarosol Sodosol Chromosol Vertisol
High C Low C High C Low C High C Low C High C Low C
Meyer et al. (2017)
80 – 95% reduction in SR 40 – 50% reduction in SR
• Historical dairy annual productivity growth
– 1.6% (ABARES)
• Additional productivity growth to maintain profitability under CC by 2040:
– Fleurieu Peninsula = 0.6% per year
– Gippsland = 0.6% per year
– Tasmania = 0.3% per year
Underlying loss of productivity growth in dairy
Cullen et al. (2017)
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Primary Industries Climate Challenges Centre
Adapting to the changes
• Climate change adaptation
– Can be viewed as an opportunity not a threat
• What does the future look like for KI?
• How does that make us different from competitors? – e.g. maritime climate means much less temperature
extremes?
– Rainfall may not be as severely affected as mainland
• What new business opportunities does this open up?
So what do we do?
Adaptive Framework
Incremental adaptation
Systems adaptation
Transformational adaptation
Adapted from Howden
Adaptive Framework
• Adjusting practices
– Change lambing timing (e.g. adjust joining)
– Sow earlier (avoid heat at maturity)
• Changing Systems
– Change products (e.g. sheep to wheat)
– Change markets (e.g. boutique wine)
• Transforming
– Physically shift production area
– Change production systems (e.g. rice to wheat)
– Enter/ create new markets (e.g. Bush tucker)
Strategy Method or Action
Remembering the future Temporal analogues e.g. learn from past droughts
Visiting the future Spatial analogues e.g. learn fromwarmer & drier sites
Modelling the future Climate trend analysis, climateprojections from GCMS, systemsAnalyses
Preparing for the future Develop adaptation technologies andmanagement, adaptive capacity andadoption systems
Adaptation
Howden 2018
Incremental Adaptation Horticulture example
• Netting
• Dormancy breaking chemicals
• Overhead sprinklers
• Evaporative cooling
• Pruning management to manage maturity
Incremental Adaptations - Pastures
Moore, 2011
Incremental Adaptations - Pastures
Moore, 2011
Incremental Adaptations - Pastures
Moore, 2011
Transformational adaptation exampleBrown Brothers Vineyards reclassification
Source: Brown Brothers
Vineyard Region Mean Jan Temp (oC)
Mystic Park Murray Darling 23.5
Milawa King Valley (N.E. Vic) 22.9
Heathcote Central Vic 22.3
Banksdale King Valley (N.E. Vic) 20.9
The Hazards East Coast (Tas) 16.9
Kayena Tamar Valley (Tas) 16.6
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Primary Industries Climate Challenges Centre
Policy implications
Greenhouse gas emissions -Paris Agreement
• Net zero emissions from 2050
– Any remainder GHG emissions in the second half of the century need to be offset
– Business and governments are aiming to comply
Greenhouse gas emissions - Supply chain responses
• Fonterra– 30% less GHG EI / litre milk sourced and
processed in New Zealand by 2030– Climate-neutral growth to 2030 for pre-
farmgate emissions from a 2015 base year
• Unilever– Reducing the GHG impact of their
products by 50% by 2030, compared to baseline of 2010
• Mondelez – 15% less operational GHG EI from 2010
to 2015
• Nestle– 35% less GHG EI on 2005 baseline
• Kellogg Company– 15% less GHG EI by 2020
• Pfizer– 20% less GHG EI by 2020 (60 to 80% by 2050)
• Wilmar international– 89.72% less GHG from 2013 to 2020
• Cargill– 5% less GHG EI by 2020 compared to 2015
• SAB Miller– 25% reduction kg CO2e/hl lager (against 2010
baseline)
• Olam– 10% less GHG EI by 2020
• Note: Focused on carbon footprint = Emissions intensity (kg CO2e/kg milk)• A reflection of lack of mitigation options
• Of the 100 largest economies 69 are companies and 31 are countries• Government policy may now be less influential than market forces
(Unilever 2010; Fonterra 2017)
Greenhouse gas emissionsOther industries
• Meat and Livestock Australia– Australian beef can be carbon neutral by 2030 (CN30)– given the right industry, R&D and policy settings
• Richard Norton, CEO
• Mato Grosso do Sul (MS), Brazil– “MS carbon neutral” initiative– Including livestock
• New Zealand – Biological Emissions Reference Group (BERG)– Proposed Zero Carbon Bill
• IPCC report– Diet choice is part of the solution
FAIRR Index
FAIRR - an index to analyse livestock production against the Sustainable Development Goals (SDGs).A resource for institutional investors on risk of investment in livestock.
Fonterra
Inghams
AACo
Tassal
Good Poor
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Primary Industries Climate Challenges Centre
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Primary Industries Climate Challenges Centre
Carbon Neutral Agriculture
Comparative GHG emissions between systems
Browne et al 2011
Typical farm emissions profile
N-Beef0.12 t CO 2 e/ha14 t CO2e/t beef
Eckard, Grainger & de Klein 2010; Browne et al. 2011
0%
CH4 -
Enteric
96%
CH4 -
Manure
0%
N2O - N
Fertiliser
0%
N2O -
Indirect
1%
N2O -
Dung, Urine
3%
Dairy4 – 45 t CO 2 e/ha8 – 21 t CO 2 e/t MS
Grains 0.2 - 1 t CO2e/ha0.04 t/CO2e/t grain
Typical Farm Emissions
Wheat & CanolaGHG/ha = 0.19 t CO2e/haGHG/t = 0.07 t CO2e/t grain
Wool – self replacingGHG/ha = 1.2 t CO2e/haGHG/DSE = 0.20 t CO2e/DSE
Carbon neutral case studies
• Trees for carbon credits– Struggle to match milk value of land
– Leddin et al. (2012)
• Combining multiple benefits– Salinity, biodiversity, aesthetics…– Shade and shelter for livestock
• Heat and cold stress– Leddin et al. (2012)
– Income diversification/ financial resilience • Carbon offset income • Timber income
– Nutrient sink areas in dairy catchments – Capital appreciation
• 20% tree coverage = 4% price premium– Polyakov et al. (2015)
• How do we design trees on farm for these multiple objectives?
Rethinking trees on farm
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Primary Industries Climate Challenges Centre
Climate change impacts on GHG
• Soil organic matter/ soil carbon
– Long-term dairy pastures
• High fertility + high rainfall = high SOM
• SOC possibly decreasing
– Under high stocking rates and N– Schipper et al. 2010
– Under climate change in SE Australia– Meyer et al. 2018
• Reliance on SOC as an offset may be limited
Is net zero GHG emissions dairy farming possible?
• Enteric CH4 and N cycling – Two largest environmental impacts
– Also two largest inefficiencies in the system
• Current mitigation potential – 50 - 60% from combined options
• e.g. diet supplements, low emitting feeds, breeding, rumen manipulation
• Most options not cost-effective yet
• Climate change may necessitate – More diverse (adapted/resilient) farming systems
– Possibly more trees on dairy farms
CH4
The Carbon Cycle in livestock
Litter-C
Microbial Decomposition
SO-C
Leaching-C
CO2
CHO
After Eckard, 2009
meat, wool, milk - C
~Half of all products/compounds in farming is carbon
Humus-C
PO-C
Sequestration*
• Social licence to operate
– GHG
• Rising vegetarianism
– Synthetic meat & milk
Why Carbon Farming?
(after Thornton 2010)
• Livestock methane and N use efficiency
– Two largest environmental impacts
– Also two largest inefficiencies in the system
• Current mitigation potential
– 50 - 60% from combined options
• e.g. diet supplements, low emitting feeds, breeding, rumen manipulation
• Most options not cost-effective yet
• Climate change may necessitate
– More diverse (adapted/resilient) farming systems
– Possibly more trees on dairy farms
Carbon neutral agriculture?