Valentina Lozano Nasi

102 chapter 4 energy utilities, power lines, cell towers) more resistant to climate change risks’), on a scale from 1 = strongly oppose to 7 = strongly support. Individual Adaptation Intentions and Behaviours. Participants indicated to what extent they intend to engage in seven adaptation behaviours to protect themselves against climate change risks within the next year (e.g., ‘Preparing a household emergency kit, containing for example a flashlight, a radio, emergency blankets, first aid kit’). The response and the procedure to create a behaviours and intentions scale was the same as for community-based adaptation. Results and Discussion We conducted our analyses using R (version 4.1.2) and Jamovi (version 2.2). We first confirmed content, concurrent, and discriminant validity of the collective transilience scale (see Supplementary Material). Next, using the psych package (Revelle, 2019), we examined the mean scores of all measures. As shown in Table 4.1, on average respondents perceived they can be transilient as a community (i.e., mean scores above the midpoint of the scale). On average, they also supported local adaptation policies and intended to engage in individual adaptation behaviours. Respondents were less likely to engage in community-based adaptation behaviours than in individual adaptation behaviours (Mdiff = 0.66; t(175) = 6.46; p < .001; d = .49). While participants on average had engaged in at least one individual adaptation behaviour, the majority (i.e. 141 participants, reflecting 76.2% of our total sample) had not engaged in any community-based adaptation behaviours (Mdiff = 1; t(184) = 7.20; p < .001; d = .53). We used the custom function corstars (Bertolt, 2008) to calculate bivariate correlations between all variables (Table 4.1). As expected, the higher perceived collective transilience, the more participants intended to engage in community-based adaptation behaviours and the more they would support local adaptation policies, with a medium effect (i.e., above 0.24; Lovakov & Agadullina, 2021). Unexpectedly, collective transilience was not significantly related to community-based adaptation behaviours. This may be explained by the lack of variance in community-based adaptation behaviour. Certain behaviours we assessed may not have been feasible in some communities; notably, we were unable to check this, as we did not ask in which community participants lived. Interestingly, higher collective transilience was related with stronger individual adaptation intentions and behaviours, with a medium effect size (see Table 4.1).

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