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Integration and Typologies of Vulnerability to Climate Change: A Case Study from Australian Wheat Sheep Zones

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ABSTRACT

Although the integrated indicator methods have become popular for assessing vulnerability to climate change, their proliferation has introduced a confusing array of scales and indicators that cause a science-policy gap. I argue for a clear adaptation pathway in an “integrative typology” of regional vulnerability that matches appropriate scales, optimal measurements and adaptive strategies in a six-dimensional and multi-level analysis framework of integration and typology inspired by the “5W1H” questions: “Who is concerned about how to adapt to the vulnerability of what to what in some place (where) at some time (when)?” Using the case of the vulnerability of wheat, barley and oats to drought in Australian wheat sheep zones during 1978–1999, I answer the “5W1H” questions through establishing the “six typologies” framework. I then optimize the measurement of vulnerability through contrasting twelve kinds of vulnerability scores with the divergence of crops yields from their regional mean. Through identifying the socioeconomic constraints, I propose seven generic types of crop-drought vulnerability and local adaptive strategy. Our results illustrate that the process of assessing vulnerability and selecting adaptations can be enhanced using a combination of integration, optimization and typology, which emphasize dynamic transitions and transformations between integration and typology.

No MeSH data available.


Related in: MedlinePlus

Different regions suffered from different capital constraints.The numbers under the horizontal axis represent region codes.
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f2: Different regions suffered from different capital constraints.The numbers under the horizontal axis represent region codes.

Mentions: Figure 2 shows how each region is limited by financial factors, which effectively reflect the suitable criterion to express local heterogeneity. For instance, Mallee (221) is a capital-constrained region, which is also limited by having fewer assets. North West Slopes and Plains (321) are limited by greater agricultural costs while lower farm receipts have a negative influence in Central West (122). Central North (223) is restricted by farm performance and family farm, while greater total debts occur in Central and South Wheat Belt (521).


Integration and Typologies of Vulnerability to Climate Change: A Case Study from Australian Wheat Sheep Zones
Different regions suffered from different capital constraints.The numbers under the horizontal axis represent region codes.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC5037388&req=5

f2: Different regions suffered from different capital constraints.The numbers under the horizontal axis represent region codes.
Mentions: Figure 2 shows how each region is limited by financial factors, which effectively reflect the suitable criterion to express local heterogeneity. For instance, Mallee (221) is a capital-constrained region, which is also limited by having fewer assets. North West Slopes and Plains (321) are limited by greater agricultural costs while lower farm receipts have a negative influence in Central West (122). Central North (223) is restricted by farm performance and family farm, while greater total debts occur in Central and South Wheat Belt (521).

View Article: PubMed Central - PubMed

ABSTRACT

Although the integrated indicator methods have become popular for assessing vulnerability to climate change, their proliferation has introduced a confusing array of scales and indicators that cause a science-policy gap. I argue for a clear adaptation pathway in an “integrative typology” of regional vulnerability that matches appropriate scales, optimal measurements and adaptive strategies in a six-dimensional and multi-level analysis framework of integration and typology inspired by the “5W1H” questions: “Who is concerned about how to adapt to the vulnerability of what to what in some place (where) at some time (when)?” Using the case of the vulnerability of wheat, barley and oats to drought in Australian wheat sheep zones during 1978–1999, I answer the “5W1H” questions through establishing the “six typologies” framework. I then optimize the measurement of vulnerability through contrasting twelve kinds of vulnerability scores with the divergence of crops yields from their regional mean. Through identifying the socioeconomic constraints, I propose seven generic types of crop-drought vulnerability and local adaptive strategy. Our results illustrate that the process of assessing vulnerability and selecting adaptations can be enhanced using a combination of integration, optimization and typology, which emphasize dynamic transitions and transformations between integration and typology.

No MeSH data available.


Related in: MedlinePlus