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Transcript
August 2008
Farm-level adaptation options:
south-eastern South Australia
As Australia’s producers continue to be challenged by increased climate variability and
climate change, seeking out region-specific adaptation options is important to ensure
regional productivity.
Understanding which adaptation options to pursue in response to climate change remains
a challenge, due to uncertainty regarding the full extent of future climate change, the
response of different crops, and future commodity prices and input costs. Combining
expert farmer knowledge with both crop and climate science will help to identify a range of
effective adaptation options to greatly reduce the negative impacts of climate change.
Here we look at the effectiveness of adaptation options for cropping systems in southeastern South Australia, as evaluated by researchers and local producers at three farms
at Lameroo, Paskeville and Tarlee.
Overall, results suggest that some crop management adaptations have a potentially
significant role in maintaining or increasing yields under variable and changing climate
conditions. Different adaptation options will be required at a range of spatial scales to deal
with the different sets of physical and socioeconomic conditions (climate, soils, production
systems etc).
Key facts
•
By 2030, we can expect mean temperatures in south-eastern South Australia to
increase by 0.6–2°C, and annual rainfall to decrease by up to 10%, compared with
average climatic conditions for 1980–99. As a result, the frequency and severity of
droughts in the region is predicted to increase.
•
Modelling studies at three farms suggest that, by 2030, without any change in
current management practices, median wheat yields could decline by up to 8%
(compared with average yields for 1998–2007), for a warming of 1.2°C and a
decrease in annual rainfall of 8%.
•
Agricultural systems in the region are predicted to have greater yield variability.
•
The modelling studies show that introducing or increasing a fallow or pasture
component in crop rotations should reduce yield variability across years by
increasing yield in lower rainfall years. This may offset projected median yield
losses by an average of 7% (range of 5–8% across the farms studied).
•
Changing to shorter- or longer-season wheat varieties, or changing from wheat to
barley, will have limited benefits.
Adaptation options for farming systems in South
Australia
Many options for adapting farming systems to climate change are extensions of existing
strategies that farmers use to manage climate variability. These options include:
•
selecting varieties or species of plants that have more appropriate thermal time
(degree days) and vernalisation (exposure to cold temperatures required for
flowering) requirements, and/or increased resistance to heat shock and drought
•
increasing the use of technologies to ‘harvest’ water, conserve soil moisture (e.g.
retaining crop residue, letting land lie fallow), and transporting, storing and using
water more effectively
•
selecting appropriate soil types for cropping, in response to seasonal climate
conditions
•
changing the timing of cropping activities in response to seasonal changes in
temperature and rainfall
•
managing pests, diseases, and weeds more effectively
•
using seasonal climate forecasts to moderate fertiliser and herbicide inputs
•
using climate forecasts to reduce production risk
Adaptation options for cropping – Lameroo, Paskeville
and Tarlee case studies
While a range of broadscale adaptation options have been identified, these options need
to be formally evaluated for specific farming systems, soil types, and on-farm
management.
CSIRO has evaluated the effectiveness of the following adaptation options for a number
of simple, continuous wheat cropping systems at Lameroo, Paskeville and Tarlee:
•
introducing fallows into a continuous cropping system
•
choosing shorter- or longer-season wheat varieties
•
changing crop type from wheat to barley
CSIRO measured the effectiveness of these adaptation options in terms of yield
(kilograms per hectare) compared with the baseline period of 1998–2007. This baseline
period represents current production challenges.
They used a 2030 climate change projection of 1.2°C warming in mean temperature and
annual rainfall declines of 7.5–8.5%, relative to 1998–2007. These projected changes are
likely to occur at 2030 in response atmospheric carbon dioxide concentration of 440 parts
per million.
The impacts of climate change on yield were modelled using the Agricultural Production
Systems sIMulator (APSIM) (Figure 1). The model indicates the following:
•
If current management practices remain unchanged, under a 2030 climate change
scenario median crop yields may decline by an average of 5% (within a possible
range of 3–8%) for the three sites studied.
•
Introducing a fallow into the rotation every third year was a useful adaptation
option in response to the projected warming and decline in annual rainfall across
all three sites. Median yields increased by an average of 7% (within a possible
range of 5–8%) compared with the scenarios where management was
unchanged.
•
The benefits of changing to longer- or shorter-season varieties, or to different
crops (e.g. barley), varied from site to site, but generally did not offset projected
yield declines.
Module 16 — Farm-level adaptation options: south-eastern South Australia
2
How the model calculates attainable yield
The model estimates attainable yield based on the interaction between soil moisture,
nitrogen, rainfall, soil type, crop choice, cultivar, sowing date, temperature, radiation,
rotation and on-farm management. The results do not account for disease, heat shock,
herbicide damage, insects, wind damage or harvest loss.
The annual historical yields (Figure 1.1) are ranked (Figure 1.2) and used as a basis for
developing a ‘yield potential curve’, also known as a ‘probability of exceedance curve’
(Figure 1.3), which shows the per cent chance of exceeding a given yield. The attributes
(rainfall, nitrogen etc) can be changed to generate new yield potential curves, highlighting
the impact of changing individual or combinations of attributes.
1.2
4000
4000
3500
3500
3000
3000
2500
2500
Yield (kg/ha)
Yield (kg/ha)
1.1
2000
1500
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500
0
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58
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06
0
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3
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9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49
Yield Rank: Highest to Low est
Year
1.3
100
90
Cumulative Probability
80
70
60
50
40
30
20
10
0
0
500
1000
1500
2000
2500
3000
3500
4000
Yield (kg/ha)
Figure 1: The APSIM process for calculating the probability of exceeding a given yield (kg/ha)
1.1 Simulated annual wheat yields (kg/ha) for a continuous wheat farming system, 1957–2007
1.2 Yields ranked from highest to lowest, 1957–2007
1.3 Yield potential curve (i.e. per cent chance of exceeding a given yield) based on the historical ranked
yields
Module 16 — Farm-level adaptation options: south-eastern South Australia
3
Impact of climate change with no change to current management practices
For the three sites, simulated mean yields for 1998–2007 (‘10 Year Baseline’) are
estimated at 1.7 tonnes/hectare, 2.7 tonnes/hectare and 4.2 tonnes/hectare respectively
(Figure 2).
By 2030, with a warming of 1.2°C and a reduction in annual rainfall of 8%, median yields
are likely to decline by an average of 5% (i.e. to 1.6 tonnes/hectare, 2.6 tonnes/hectare
and 4.0 tonnes/hectare respectively) if there is no change in current management (‘No
Change’).
2. Paskeville
1. Lameroo
100
100
No Change
90
10 Year Baseline
80
Probability of Exceedence
80
Probability of Exceedence
No Change
90
10 Year Baseline
70
60
50
40
30
70
60
50
40
30
20
20
10
10
0
0
0
1000
2000
3000
4000
5000
0
6000
1000
2000
3000
4000
5000
Yield (kg/ha)
Yield (kg/ha)
3. Tarlee
100
No Change
90
10 Year Baseline
Probability of Exceedence
80
70
60
50
40
30
20
10
0
0
1000
2000
3000
4000
5000
6000
Yield (kg/ha)
Figure 2: Wheat yields (kg/ha) for the period 1998–2007 (’10 Year Baseline’), compared with simulated
yields for 2030 with no change to current management (‘No Change’)
Module 16 — Farm-level adaptation options: south-eastern South Australia
4
6000
Introducing a fallow
Introducing a fallow every three years improved yield considerably (Figure 3). At all three
sites, under warmer and drier conditions, there was an average increase in median yield
of 7% compared with the ‘no change’ scenario (yields ranged from 5–8% between sites).
At Paskeville, introducing the fallow component offset the yield losses that were caused
by changing climate conditions. It also raised yields above those achieved in 1998–2007,
due to improved soil moisture availability in years following the fallow.
In contrast, at Lameroo, introducing a fallow lifted yields above those achieved in 1998–
2007 only in the highest yielding years (i.e. years with yields of 1.8–3 tonnes/hectare).
At Tarlee, introducing a fallow lifted yields above those achieved in 1998–2007 only in
poor years (i.e. years where yields were less than the median of 4 tonnes/hectare).
1. Lameroo
2. Paskeville
100
100
No Change
10 Year Baseline
90
10 Year Baseline
80
Fallow
80
Fallow
Probability of Exceedence
Probability of Exceedence
No Change
90
70
60
50
40
30
20
10
70
60
50
40
30
20
10
0
0
0
1000
2000
3000
4000
5000
6000
0
1000
2000
Yield (kg/ha)
3000
4000
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Yield (kg/ha)
3. Tarlee
100
Probability of Exceedence
No Change
90
10 Year Baseline
80
Fallow
70
60
50
40
30
20
10
0
0
1000
2000
3000
4000
5000
6000
Yield (kg/ha)
Figure 3: Wheat yields (kg/ha) for the period 1998–2007 (’10 Year Baseline’) compared with simulated
yields for 2030 with no change to current management (‘No Change’), and including a fallow every three
years (‘Fallow’)
Module 16 — Farm-level adaptation options: south-eastern South Australia
5
Changing wheat variety/cultivar
Introducing a longer-season wheat variety (Camm) resulted in consistently lower yields at
both Paskeville and Tarlee, with only slight improvements in better yielding years at
Lameroo.
Other adaptation options, such as changing to a shorter-season wheat cultivar
(Wyalkatchem) had mixed results across the three sites. At Tarlee, yield improvements
were simulated across all years but only in the higher yielding years at Paskeville and in
the lower yielding years at Tarlee.
Changing from wheat to barley
Replacing Yitpi wheat with a schooner barley produced mixed results across the three
sites.
At Lameroo, barley produced greater average yields than wheat in all but the highest
yielding years.
At Paskeville, barley yields were greater than wheat yields in both poor and high yielding
years.
At Tarlee, barley yields were only higher in the lower yielding years.
Sources
Climate Change in Australia: http://www.climatechangeinaustralia.com.au
Crimp S, Gaydon G, DeVoil P and Howden M 2006, On-farm management in a changing
climate: A participatory approach to adaptation:
http://www.bcg.org.au/cb_pages/Adapting_to_climate_change.php
CSIRO Sustainable Ecosystems: http://www.csiro.au/cse
Howden, M, Soussana, J, Tubiello, F, Chetri, N, Dunlop, M, and Meinke, H 2007, ‘Adapting
agriculture to climate change’, PNAS, vol.104, no. 50, pp. 19691–6
http://www.pnas.org/content/104/50/19691.full.pdf
Intergovernmental Panel on Climate Change: http://www.ipcc.ch
Keating BA, Carberry PS, Hammer GL, Probert ME, Robertson MJ, Holzworth D, Huth NI,
Hargreaves JNG, Meinke H, Hochman Z, McLean G, Verburg K, Snow V, Dimes JP, Silburn M,
Wang E, Brown S, Bristow KL, Asseng S, Chapman S, McCown RL, Freebairn DM and Smith
CJ 2002, ‘The agricultural production systems simulator (APSIM): its history and current
capability’, European Journal of Agronomy, vol. 18, pp. 267–88
Further information
For more information or to provide feedback on the content of this fact sheet, contact
Alexandra Gartmann at the Birchip Cropping Group:
Phone: +61 3 5492 2787, email: [email protected]
Module 16 — Farm-level adaptation options: south-eastern South Australia
6