Models of the strength of belief in local effects of climate change. (sbCC) (Question 1 in Table 1) (a) and the strength of belief in having experienced the effects of climate change (sbEXP) (Question 2 in Table 1) (b). The size of the circular nodes represents the variable importance in terms of the ranked probability score of statistically significant predictor variables (S3 Table). The valence of the correlation between variables is represented by + and -, respectively. YEARS represents the number of years lived in Höganäs municipality, UNIVERSITY university education, FEMALE the gender female, PLV and ENV the "Place valuer" and "Environment" value profiles, respectively, JONSTORP resident of the village Jonstorp or along the Görslövsån,...
Data were collected during interviews with experts and farmers in Cauca between July and October 201...
ABSTRACT: This study develops a new conceptual tool to explore the potential societal consequences o...
While climate models have rapidly advanced in sophistication over recent decades, they lack dynamic ...
<p>Predicted probabilities for strengths of belief in having experienced the effects of climate chan...
<p>Predicted probabilities for strengths of belief in the local effects of climate change based on n...
<p>Relationships of risk perception in terms of the strength of belief in the local effects of clima...
<p>Simulated 95% confidence intervals for the predicted probability were estimated using the model i...
<p>S.b. climate change, Strength of belief in local effects of climate change; S.b. exp. climate cha...
A sequential approach to combining two established modeling techniques (systems thinking and Bayesia...
a) Responses of the survey participants for general statements about climate change. b) Responses of...
Van der Linden (2015) recently introduced a model that combines cognitive, experiential, and socio-c...
Climate change represents a complex set of challenges, in part because it is marked by risks that ar...
The research reported here examines the relationship between risk perceptions and willing-ness to ad...
Climate impacts and adaptation research increasingly uses ensembles of regional and local climate ch...
Examining the conceptual relationship between personal experience, affect, and risk perception is cr...
Data were collected during interviews with experts and farmers in Cauca between July and October 201...
ABSTRACT: This study develops a new conceptual tool to explore the potential societal consequences o...
While climate models have rapidly advanced in sophistication over recent decades, they lack dynamic ...
<p>Predicted probabilities for strengths of belief in having experienced the effects of climate chan...
<p>Predicted probabilities for strengths of belief in the local effects of climate change based on n...
<p>Relationships of risk perception in terms of the strength of belief in the local effects of clima...
<p>Simulated 95% confidence intervals for the predicted probability were estimated using the model i...
<p>S.b. climate change, Strength of belief in local effects of climate change; S.b. exp. climate cha...
A sequential approach to combining two established modeling techniques (systems thinking and Bayesia...
a) Responses of the survey participants for general statements about climate change. b) Responses of...
Van der Linden (2015) recently introduced a model that combines cognitive, experiential, and socio-c...
Climate change represents a complex set of challenges, in part because it is marked by risks that ar...
The research reported here examines the relationship between risk perceptions and willing-ness to ad...
Climate impacts and adaptation research increasingly uses ensembles of regional and local climate ch...
Examining the conceptual relationship between personal experience, affect, and risk perception is cr...
Data were collected during interviews with experts and farmers in Cauca between July and October 201...
ABSTRACT: This study develops a new conceptual tool to explore the potential societal consequences o...
While climate models have rapidly advanced in sophistication over recent decades, they lack dynamic ...