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Climate Change Adaptation: Operational Taxonomy and Metrics

1
Citepa, 42 Rue de Paradis, 75010 Paris, France
2
Ecole Polytechnique, Route de Saclay, 91120 Palaiseau, France
3
Toulouse School of Economics, 21 Allée de Brienne, 31000 Toulouse, France
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(18), 7631; https://doi.org/10.3390/su12187631
Received: 23 July 2020 / Revised: 28 August 2020 / Accepted: 12 September 2020 / Published: 16 September 2020
(This article belongs to the Section Hazards and Sustainability)
The development of adaptation indicators and metrics that can be aggregated and compared to support environmental management is a key challenge for climate experts, finance institutions, and decision-makers. To provide an operational ex-ante evaluation of alternative adaptation strategies, statistical evaluation was conducted on 1562 adaptation projects contained in the Nationally Determined Contributions (NDCs) submitted by almost all parties who signed the Paris Agreement in 2015. As a preliminary stage, we are suggesting a physical risk taxonomy derived from climate model databases and an adaptation project taxonomy using a text analysis. The second stage, consisting of an evaluation metric using a correspondence analysis between adaptation projects and risk classes, was inspired by the analogy with adaptation mechanisms in living organisms—assessing the correct correspondence between threats from the environment and adaptive solutions. It allowed us to develop a coefficient ranging from 0 to 1, expressing the degree of correspondence between adaptive measures’ categories and hazard levels, which we refer to as fitness. Our coefficient would make it possible to compare project classes with each other ex-ante or, conversely, to deduce the most relevant adaptation solutions from climate-change-related hazards. The fitness coefficient could also be used as a preliminary stage of assessment to create a short-list of adaptation projects that are relevant to address a given physical hazard with a given intensity. View Full-Text
Keywords: adaptation; metric; taxonomy; correspondence analysis; NDC; relevance adaptation; metric; taxonomy; correspondence analysis; NDC; relevance
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MDPI and ACS Style

Boutang, J.; Feutren, E.; Bachelet, B.; Lacomme, C. Climate Change Adaptation: Operational Taxonomy and Metrics. Sustainability 2020, 12, 7631. https://doi.org/10.3390/su12187631

AMA Style

Boutang J, Feutren E, Bachelet B, Lacomme C. Climate Change Adaptation: Operational Taxonomy and Metrics. Sustainability. 2020; 12(18):7631. https://doi.org/10.3390/su12187631

Chicago/Turabian Style

Boutang, Jérôme, Etienne Feutren, Brunilde Bachelet, and Cédric Lacomme. 2020. "Climate Change Adaptation: Operational Taxonomy and Metrics" Sustainability 12, no. 18: 7631. https://doi.org/10.3390/su12187631

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