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Integration and Typologies of Vulnerability to Climate Change: A Case Study from Australian Wheat Sheep Zones
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...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group
2016
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5037388/ https://www.ncbi.nlm.nih.gov/pubmed/27670975 http://dx.doi.org/10.1038/srep33744 |
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author | Huai, Jianjun |
author_facet | Huai, Jianjun |
author_sort | Huai, Jianjun |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5037388 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-50373882016-09-30 Integration and Typologies of Vulnerability to Climate Change: A Case Study from Australian Wheat Sheep Zones Huai, Jianjun Sci Rep Article 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. Nature Publishing Group 2016-09-27 /pmc/articles/PMC5037388/ /pubmed/27670975 http://dx.doi.org/10.1038/srep33744 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Huai, Jianjun Integration and Typologies of Vulnerability to Climate Change: A Case Study from Australian Wheat Sheep Zones |
title | Integration and Typologies of Vulnerability to Climate Change: A Case Study from Australian Wheat Sheep Zones |
title_full | Integration and Typologies of Vulnerability to Climate Change: A Case Study from Australian Wheat Sheep Zones |
title_fullStr | Integration and Typologies of Vulnerability to Climate Change: A Case Study from Australian Wheat Sheep Zones |
title_full_unstemmed | Integration and Typologies of Vulnerability to Climate Change: A Case Study from Australian Wheat Sheep Zones |
title_short | Integration and Typologies of Vulnerability to Climate Change: A Case Study from Australian Wheat Sheep Zones |
title_sort | integration and typologies of vulnerability to climate change: a case study from australian wheat sheep zones |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5037388/ https://www.ncbi.nlm.nih.gov/pubmed/27670975 http://dx.doi.org/10.1038/srep33744 |
work_keys_str_mv | AT huaijianjun integrationandtypologiesofvulnerabilitytoclimatechangeacasestudyfromaustralianwheatsheepzones |