Climate change: believing and seeing implies adapting.
Climate change: believing and seeing implies adapting.
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DOI：
10.1371/journal.pone.0050182
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发表时间：
2012
期刊：
影响因子：
3.7
通讯作者：
Hanewinkel M
中科院分区：
文献类型：
--
作者：
Blennow K;Persson J;Tomé M;Hanewinkel M
了解触发人类应对气候变化的因素对于有效地进行气候变化政策沟通至关重要。气候变化被认为是一个风险较低的问题，因为它不能被直接体验到。尽管如此，个人因素，如对气候变化局部影响的信念强度，已被证明与对气候变化的反应密切相关，而且越来越多的文献假设，个人对气候变化(和/或其影响)的经历解释了对气候变化的反应。在这里，我们利用845名私营森林所有者的调查数据，在全欧洲的纬度梯度范围内经营各种生物气候和经济社会政治结构，首次证明个人对气候变化的当地影响的信念和感知对人类对气候变化的反应具有极大的解释作用。用Logistic回归模型对这两个变量进行拟合，估计自我报告的适应性措施的预期概率在0.07(SD±0.01)到0.81(SD±0.03)之间。添加社会人口学变量提高了匹配度，估计的预期概率从0.022(SD±0.008)到0.91%(SD±0.02)。我们的结论是，要解释和预测气候变化的适应，必须考虑个人经验和信念的结合。
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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DOI：
10.1073/pnas.1007887107
发表时间：
2010-12-21
影响因子：
11.1
作者：
Moser, Susanne C.;Ekstrom, Julia A.
通讯作者：
Ekstrom, Julia A.
DOI：
10.1016/j.gloenvcha.2006.03.008
发表时间：
2006-08-01
影响因子：
8.9
作者：
Smit, Barry;Wandel, Johanna
通讯作者：
Wandel, Johanna
影响因子：
3.7
作者：
Lindner, Marcus;Maroschek, Michael;Marchetti, Marco
通讯作者：
Marchetti, Marco
DOI：
10.1016/j.gloenvcha.2008.10.003
发表时间：
2009-02-01
影响因子：
8.9
作者：
Blennow, Kristina;Persson, Johannes
通讯作者：
Persson, Johannes
DOI：
10.1198/106186008x384898
发表时间：
2008-12-01
影响因子：
2.4
作者：
Imai, Kosuke;King, Gary;Lau, Olivia
通讯作者：
Lau, Olivia