Paper · 2007 · XXVI Congress, International Society of Sugar Cane Technologists, ICC, Durban, South Africa, 29 July - 2 August, 2007.

Evaluating the impact of and capacity for adaptation to climate change on sectors in the sugar industry value chain in Australia.

S. Park; Mark Howden; Heidi Horan

9
claims
17
verbatim quotes
7
citations
2
research areas
—
Not open access

Abstract

AUSTRALIA is predicted to be hotter and generally drier, with more frequent extreme events, in coming decades similar to that expected in most sugarcane producing nations,. To assess the direct and indirect climate change impacts on the cane-growing regions of Queensland, and adaptive capacity, projections for 2030 were considered using (i) a review of literature on climate/plant interactions and sugarcane physiology, (ii) a brief qualitative assessment in collaboration with industry stakeholders throughout the value chain, and (iii) a quantitative estimate of yield potential and the efficacy of an adaptation strategy using an eco-physiological model of plant growth. The review and qualitative assessment indicated that the greatest impacts are likely to be experienced on the grower sector of the industry. Productivity gains/losses will ultimately depend on the availability of a number of resources, particularly water, and the plant’s physiological response to relative changes in all climate variables. Capacity within the sugar industry value chain is considered sufficient to absorb an increase in yield, but a decrease may financially challenge many mills. The paper then focused on providing more quantitative estimates of impact using the Agricultural Production Systems sIMulator (APSIM) to estimate yield potential in response to temperature and rainfall projections up to 2030 for the most northerly (Mossman) and southerly (Rocky Point) regions of the Queensland sugarcane industry. Response surfaces produced from model simulations suggest yield losses are likely be greater in the cooler southern regions due to increased water stress. The vast majority of adaptation strategies identified by stakeholders as potentially useful were an extension and enhancement of the current practices used to manage sugarcane production in the highly variable Australian climate. An eco-physiological model (APSIM) was used for the first time to assess the adaptive strategy of changing the date of planting in a sugarcane production system. The simulations suggest that yield potential will increase marginally if the planting date occurs earlier than presently practised in the south, while a delay in planting date in the north may increase productivity by the year 2030. This study showed that collaborative research between industry stakeholders from all sectors and the use of an ecophysiological modelling tool, such as APSIM, can aid in the identification of critical areas of climate change impact, quantify these impacts and assist in the identification of adaptation strategies at a regional scale. Introduction Sugarcane has been commercially grown on the north-eastern coastal plains and hinterlands of Australia since 1862. The production area today is over 2000 km long and regions can be categorised by the major climatic constraints that they impose on production. Potential yield can be limited in the northern region of Queensland by low levels of radiation associated with extensive cloud cover and annual rainfall in excess of 3000 mm.

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Claims 9

Observationauthor interpretationoriginal resultnegativebasis n/a

Claim · model-written summary

The greatest climate change impacts are likely to fall on the grower sector of the sugarcane industry.

Taxon
sugarcanee0
Outcome
greatest impactse1
Qualifier
grower sector of the industrye1

Verbatim

e0

“similar to that expected in most sugarcane producing nations”

✓ located verbatim in the source · abstract, characters 110–170 · show in text ↑
e1

“The review and qualitative assessment indicated that the greatest impacts are likely to be experienced on the grower sector of the industry”

✓ located verbatim in the source · abstract, characters 676–815 · show in text ↑
Observationauthor interpretationoriginal resultpositivebasis n/a

Claim · model-written summary

Industry capacity is considered sufficient to absorb an increase in sugarcane yield.

Taxon
sugarcanee0
Outcome
Capacity within the sugar industry value chaine2
Qualifier
sufficient to absorb an increase in yielde2

Verbatim

e0

“similar to that expected in most sugarcane producing nations”

✓ located verbatim in the source · abstract, characters 110–170 · show in text ↑
e2

“Capacity within the sugar industry value chain is considered sufficient to absorb an increase in yield, but a decrease may financially challenge many mills”

✓ located verbatim in the source · abstract, characters 1017–1172 · show in text ↑
Observationauthor interpretationoriginal resultnegativebasis n/a

Claim · model-written summary

A decrease in sugarcane yield may financially challenge many mills.

Taxon
sugarcanee0
Outcome
financially challenge many millse2
Qualifier
a decreasee2

Verbatim

e0

“similar to that expected in most sugarcane producing nations”

✓ located verbatim in the source · abstract, characters 110–170 · show in text ↑
e2

“Capacity within the sugar industry value chain is considered sufficient to absorb an increase in yield, but a decrease may financially challenge many mills”

✓ located verbatim in the source · abstract, characters 1017–1172 · show in text ↑
Observationauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

Sugarcane productivity gains or losses depend ultimately on resource availability, particularly water.

Taxon
sugarcanee0
Outcome
Productivity gains/lossese3
Qualifier
availability of a number of resources, particularly watere3

Verbatim

e0

“similar to that expected in most sugarcane producing nations”

✓ located verbatim in the source · abstract, characters 110–170 · show in text ↑
e3

“Productivity gains/losses will ultimately depend on the availability of a number of resources, particularly water”

✓ located verbatim in the source · abstract, characters 817–930 · show in text ↑
Associationobservedoriginal resultnegativeprojected

Claim · model-written summary

Simulated sugarcane yield losses are likely greater in the cooler southern regions because of increased water stress.

Taxon
sugarcanee0
Outcome
yield lossese4
Direction
greatere4
Qualifier
increased water stresse4
Setting
cooler southern regionse4

Verbatim

e0

“similar to that expected in most sugarcane producing nations”

✓ located verbatim in the source · abstract, characters 110–170 · show in text ↑
e4

“Response surfaces produced from model simulations suggest yield losses are likely be greater in the cooler southern regions due to increased water stress”

✓ located verbatim in the source · abstract, characters 1506–1659 · show in text ↑
Observationauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

The vast majority of stakeholder-identified adaptation strategies were extensions and enhancements of current sugarcane production practices.

Taxon
sugarcane productione5
Outcome
vast majority of adaptation strategiese5
Qualifier
an extension and enhancement of the current practicese5

Verbatim

e5

“The vast majority of adaptation strategies identified by stakeholders as potentially useful were an extension and enhancement of the current practices used to manage sugarcane production in the highly variable Australian climate”

✓ located verbatim in the source · abstract, characters 1661–1889 · show in text ↑
Intervention effectobservedoriginal resultpositiveprojected

Claim · model-written summary

Planting earlier than presently practised in the south is projected to increase sugarcane yield potential marginally.

Taxon
sugarcanee0
Treatment
the planting date occurs earliere6
Outcome
yield potentiale6
Direction
increasee6
Qualifier
marginallye6
Comparator
presently practised in the southe6

Verbatim

e0

“similar to that expected in most sugarcane producing nations”

✓ located verbatim in the source · abstract, characters 110–170 · show in text ↑
e6

“The simulations suggest that yield potential will increase marginally if the planting date occurs earlier than presently practised in the south, while a delay in planting date in the north may increase productivity by the year 2030”

✓ located verbatim in the source · abstract, characters 2053–2284 · show in text ↑
Intervention effectauthor interpretationoriginal resultpositiveprojected

Claim · model-written summary

A delay in planting in the north may increase sugarcane productivity by 2030.

Taxon
sugarcanee0
Treatment
a delay in planting date in the northe6
Outcome
productivitye6
Direction
increasee6
Qualifier
by the year 2030e6

Not reportedComparator

Verbatim

e0

“similar to that expected in most sugarcane producing nations”

✓ located verbatim in the source · abstract, characters 110–170 · show in text ↑
e6

“The simulations suggest that yield potential will increase marginally if the planting date occurs earlier than presently practised in the south, while a delay in planting date in the north may increase productivity by the year 2030”

✓ located verbatim in the source · abstract, characters 2053–2284 · show in text ↑
Recommendationauthor interpretationoriginal resultpositivebasis n/a

Claim · model-written summary

Collaborative research with stakeholders and an eco-physiological model can help identify critical areas of sugarcane climate change impact.

Taxon
sugarcanee0
Outcome
identification of critical areas of climate change impacte7

Verbatim

e0

“similar to that expected in most sugarcane producing nations”

✓ located verbatim in the source · abstract, characters 110–170 · show in text ↑
e7

“can aid in the identification of critical areas of climate change impact”

✓ located verbatim in the source · abstract, characters 2445–2517 · show in text ↑

sowing time · yield · Saccharum officinarum (sugarcane)Positive and negative results

16 papers: 9 positive, 7 negative or no effect

8 papers in the same direction as this paper · 7 in the opposite direction

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