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Climate Change: Believing and Seeing Implies Adapting

Overview of attention for article published in PLOS ONE, November 2012
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8 X users

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Title
Climate Change: Believing and Seeing Implies Adapting
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0050182
Pubmed ID
Authors

Kristina Blennow, Johannes Persson, Margarida Tomé, Marc Hanewinkel

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 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 ± 0.01) to 0.81 (SD ± 0.03) for self-reported adaptive measures taken. Adding socio-demographic variables improved the fit, estimating expected probabilities ranging from 0.022 (SD ± 0.008) to 0.91 (SD ± 0.02). We conclude that to explain and predict adaptation to climate change, the combination of personal experience and belief must be considered.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 209 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 2 <1%
Austria 2 <1%
United States 2 <1%
Nepal 1 <1%
Canada 1 <1%
United Kingdom 1 <1%
Nigeria 1 <1%
Mexico 1 <1%
Unknown 198 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 40 19%
Student > Ph. D. Student 36 17%
Student > Master 22 11%
Student > Bachelor 15 7%
Student > Doctoral Student 13 6%
Other 46 22%
Unknown 37 18%
Readers by discipline Count As %
Environmental Science 57 27%
Agricultural and Biological Sciences 29 14%
Social Sciences 26 12%
Business, Management and Accounting 6 3%
Earth and Planetary Sciences 6 3%
Other 30 14%
Unknown 55 26%