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Combining analytical frameworks to assess livelihood vulnerability to climate change and analyse adaptation options()

Experts working on behalf of international development organisations need better tools to assist land managers in developing countries maintain their livelihoods, as climate change puts pressure on the ecosystem services that they depend upon. However, current understanding of livelihood vulnerabili...

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Autores principales: Reed, M.S., Podesta, G., Fazey, I., Geeson, N., Hessel, R., Hubacek, K., Letson, D., Nainggolan, D., Prell, C., Rickenbach, M.G., Ritsema, C., Schwilch, G., Stringer, L.C., Thomas, A.D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4375565/
https://www.ncbi.nlm.nih.gov/pubmed/25844020
http://dx.doi.org/10.1016/j.ecolecon.2013.07.007
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author Reed, M.S.
Podesta, G.
Fazey, I.
Geeson, N.
Hessel, R.
Hubacek, K.
Letson, D.
Nainggolan, D.
Prell, C.
Rickenbach, M.G.
Ritsema, C.
Schwilch, G.
Stringer, L.C.
Thomas, A.D.
author_facet Reed, M.S.
Podesta, G.
Fazey, I.
Geeson, N.
Hessel, R.
Hubacek, K.
Letson, D.
Nainggolan, D.
Prell, C.
Rickenbach, M.G.
Ritsema, C.
Schwilch, G.
Stringer, L.C.
Thomas, A.D.
author_sort Reed, M.S.
collection PubMed
description Experts working on behalf of international development organisations need better tools to assist land managers in developing countries maintain their livelihoods, as climate change puts pressure on the ecosystem services that they depend upon. However, current understanding of livelihood vulnerability to climate change is based on a fractured and disparate set of theories and methods. This review therefore combines theoretical insights from sustainable livelihoods analysis with other analytical frameworks (including the ecosystem services framework, diffusion theory, social learning, adaptive management and transitions management) to assess the vulnerability of rural livelihoods to climate change. This integrated analytical framework helps diagnose vulnerability to climate change, whilst identifying and comparing adaptation options that could reduce vulnerability, following four broad steps: i) determine likely level of exposure to climate change, and how climate change might interact with existing stresses and other future drivers of change; ii) determine the sensitivity of stocks of capital assets and flows of ecosystem services to climate change; iii) identify factors influencing decisions to develop and/or adopt different adaptation strategies, based on innovation or the use/substitution of existing assets; and iv) identify and evaluate potential trade-offs between adaptation options. The paper concludes by identifying interdisciplinary research needs for assessing the vulnerability of livelihoods to climate change.
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spelling pubmed-43755652015-04-01 Combining analytical frameworks to assess livelihood vulnerability to climate change and analyse adaptation options() Reed, M.S. Podesta, G. Fazey, I. Geeson, N. Hessel, R. Hubacek, K. Letson, D. Nainggolan, D. Prell, C. Rickenbach, M.G. Ritsema, C. Schwilch, G. Stringer, L.C. Thomas, A.D. Ecol Econ Surveys Experts working on behalf of international development organisations need better tools to assist land managers in developing countries maintain their livelihoods, as climate change puts pressure on the ecosystem services that they depend upon. However, current understanding of livelihood vulnerability to climate change is based on a fractured and disparate set of theories and methods. This review therefore combines theoretical insights from sustainable livelihoods analysis with other analytical frameworks (including the ecosystem services framework, diffusion theory, social learning, adaptive management and transitions management) to assess the vulnerability of rural livelihoods to climate change. This integrated analytical framework helps diagnose vulnerability to climate change, whilst identifying and comparing adaptation options that could reduce vulnerability, following four broad steps: i) determine likely level of exposure to climate change, and how climate change might interact with existing stresses and other future drivers of change; ii) determine the sensitivity of stocks of capital assets and flows of ecosystem services to climate change; iii) identify factors influencing decisions to develop and/or adopt different adaptation strategies, based on innovation or the use/substitution of existing assets; and iv) identify and evaluate potential trade-offs between adaptation options. The paper concludes by identifying interdisciplinary research needs for assessing the vulnerability of livelihoods to climate change. Elsevier 2013-10 /pmc/articles/PMC4375565/ /pubmed/25844020 http://dx.doi.org/10.1016/j.ecolecon.2013.07.007 Text en © 2013 The Authors https://creativecommons.org/licenses/by-nc-sa/3.0/ Open Access under CC BY-NC-SA 3.0 (https://creativecommons.org/licenses/by-nc-sa/3.0/) license
spellingShingle Surveys
Reed, M.S.
Podesta, G.
Fazey, I.
Geeson, N.
Hessel, R.
Hubacek, K.
Letson, D.
Nainggolan, D.
Prell, C.
Rickenbach, M.G.
Ritsema, C.
Schwilch, G.
Stringer, L.C.
Thomas, A.D.
Combining analytical frameworks to assess livelihood vulnerability to climate change and analyse adaptation options()
title Combining analytical frameworks to assess livelihood vulnerability to climate change and analyse adaptation options()
title_full Combining analytical frameworks to assess livelihood vulnerability to climate change and analyse adaptation options()
title_fullStr Combining analytical frameworks to assess livelihood vulnerability to climate change and analyse adaptation options()
title_full_unstemmed Combining analytical frameworks to assess livelihood vulnerability to climate change and analyse adaptation options()
title_short Combining analytical frameworks to assess livelihood vulnerability to climate change and analyse adaptation options()
title_sort combining analytical frameworks to assess livelihood vulnerability to climate change and analyse adaptation options()
topic Surveys
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4375565/
https://www.ncbi.nlm.nih.gov/pubmed/25844020
http://dx.doi.org/10.1016/j.ecolecon.2013.07.007
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