globalchange  > 气候变化事实与影响
DOI: 10.1093/biosci/biz004
WOS记录号: WOS:000462615500009
论文题名:
Statistical Language Backs Conservatism in Climate-Change Assessments
作者: Herrando-Perez, Salvador1,2; Bradshaw, Corey J. A.4,5; Lewandowsky, Stephan6,7; Vieites, David R.3
通讯作者: Herrando-Perez, Salvador
刊名: BIOSCIENCE
ISSN: 0006-3568
EISSN: 1525-3244
出版年: 2019
卷: 69, 期:3, 页码:209-219
语种: 英语
英文关键词: climate change ; communication ; Intergovernmental Panel on Climate Change ; terminology ; uncertainty
WOS关键词: INTERGOVERNMENTAL PANEL ; INFORMATION USABILITY ; EXPERT JUDGMENTS ; UNCERTAINTY ; SCIENCE ; ELICITATION ; ADAPTATION ; GUIDANCE ; SUPPORT ; IMPACT
WOS学科分类: Biology
WOS研究方向: Life Sciences & Biomedicine - Other Topics
英文摘要:

The scientific evidence for anthropogenic climate change is empirically settled, but communicating it to nonscientific audiences remains challenging. To be explicit about the state of knowledge on climate science, the Intergovernmental Panel on Climate Change (IPCC) has adopted a vocabulary that ranks climate findings through certainty-calibrated qualifiers of confidence and likelihood. In this article, we quantified the occurrence of knowns and unknowns about The Physical Science Basis of the IPCC's Fifth Assessment Report by counting the frequency of calibrated qualifiers. We found that the tone of the IPCC's probabilistic language is remarkably conservative (mean confidence is medium, and mean likelihood is 66%-100% or 0-33%), and emanates from the IPCC recommendations themselves, complexity of climate research, and exposure to politically motivated debates. Leveraging communication of uncertainty with overwhelming scientific consensus about anthropogenic climate change should be one element of a wider reform, whereby the creation of an IPCC outreach working group could enhance the transmission of climate science to the panel's audiences.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/131016
Appears in Collections:气候变化事实与影响

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作者单位: 1.Univ Adelaide, Australian Ctr Ancient DNA, Adelaide, SA, Australia
2.CSIC, BGCD, Museo Nacl Ciencias Nat, Madrid, Spain
3.CSIC, Integrat Biol, Madrid, Spain
4.Flinders Univ S Australia, Global Ecol, Adelaide, SA, Australia
5.Flinders Univ S Australia, ARC Ctr Excellence Australian Biodivers & Heritag, Adelaide, SA, Australia
6.Univ Bristol, Cognit Sci, Bristol, Avon, England
7.CSIRO Oceans & Atmosphere, Hobart, Tas, Australia

Recommended Citation:
Herrando-Perez, Salvador,Bradshaw, Corey J. A.,Lewandowsky, Stephan,et al. Statistical Language Backs Conservatism in Climate-Change Assessments[J]. BIOSCIENCE,2019-01-01,69(3):209-219
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