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Climate Change : Believing and seeing implies adapting

Blennow, Kristina; Persson, Johannes LU ; Tome, Margarida and Hanewinkel, Marc (2012) In PLoS ONE 7(11). p.1-7
Abstract
Knowledge of factors that trigger human response to climate change is crucial for effective climate change policy communication. Climate change has been claimed to have low salience as a risk issue because it cannot be directly experienced. Still, personal factors such as strength of belief in local effects of climate change have been shown to correlate strongly with responses to climate change and there is a growing literature on the hypothesis that personal experience of climate change (and/or its effects) explains responses to climate change. Here we provide, using survey data from 845 private forest owners operating in a wide range of bio-climatic as well as economic-social-political structures in a latitudinal

gradient across... (More)
Knowledge of factors that trigger human response to climate change is crucial for effective climate change policy communication. Climate change has been claimed to have low salience as a risk issue because it cannot be directly experienced. Still, personal factors such as strength of belief in local effects of climate change have been shown to correlate strongly with responses to climate change and there is a growing literature on the hypothesis that personal experience of climate change (and/or its effects) explains responses to climate change. Here we provide, using survey data from 845 private forest owners operating in a wide range of bio-climatic as well as economic-social-political structures in a latitudinal

gradient across Europe, the first evidence that the personal strength of belief and perception of local effects of climate change, highly significantly explain human responses to climate change. A logistic regression model was fitted to the two variables, estimating expected probabilities ranging from 0.07 (SD 60.01) to 0.81 (SD 60.03) for self-reported adaptive measures taken. Adding socio-demographic variables improved the fit, estimating expected probabilities ranging from 0.022 (SD 60.008) to 0.91 (SD 60.02). We conclude that to explain and predict adaptation to climate change, the combination of personal experience and belief must be considered. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
climate change, adaptation, epistemic risk, decision-maiking, risk management, risk perception, risk communication, forest owners
in
PLoS ONE
volume
7
issue
11
pages
1 - 7
publisher
Public Library of Science
external identifiers
  • wos:000311821000195
  • scopus:84869840958
ISSN
1932-6203
DOI
10.1371/journal.pone.0050182
language
English
LU publication?
yes
id
1c05d774-242f-4e27-9b32-cffa21e3c725 (old id 3132540)
date added to LUP
2012-11-22 15:11:28
date last changed
2017-09-10 04:13:47
@article{1c05d774-242f-4e27-9b32-cffa21e3c725,
  abstract     = {Knowledge of factors that trigger human response to climate change is crucial for effective climate change policy communication. Climate change has been claimed to have low salience as a risk issue because it cannot be directly experienced. Still, personal factors such as strength of belief in local effects of climate change have been shown to correlate strongly with responses to climate change and there is a growing literature on the hypothesis that personal experience of climate change (and/or its effects) explains responses to climate change. Here we provide, using survey data from 845 private forest owners operating in a wide range of bio-climatic as well as economic-social-political structures in a latitudinal<br/><br>
gradient across Europe, the first evidence that the personal strength of belief and perception of local effects of climate change, highly significantly explain human responses to climate change. A logistic regression model was fitted to the two variables, estimating expected probabilities ranging from 0.07 (SD 60.01) to 0.81 (SD 60.03) for self-reported adaptive measures taken. Adding socio-demographic variables improved the fit, estimating expected probabilities ranging from 0.022 (SD 60.008) to 0.91 (SD 60.02). We conclude that to explain and predict adaptation to climate change, the combination of personal experience and belief must be considered.},
  articleno    = {e50182},
  author       = {Blennow, Kristina and Persson, Johannes and Tome, Margarida and Hanewinkel, Marc},
  issn         = {1932-6203},
  keyword      = {climate change,adaptation,epistemic risk,decision-maiking,risk management,risk perception,risk communication,forest owners},
  language     = {eng},
  number       = {11},
  pages        = {1--7},
  publisher    = {Public Library of Science},
  series       = {PLoS ONE},
  title        = {Climate Change : Believing and seeing implies adapting},
  url          = {http://dx.doi.org/10.1371/journal.pone.0050182},
  volume       = {7},
  year         = {2012},
}