Plant susceptibility to ozone: A tower of Babel?

被引:28
作者
Agathokleous, Evgenios [1 ]
Saitanis, Costas J. [2 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Sch Appl Meteorol, Inst Ecol, Key Lab Agrometeorol Jiangsu Prov, Nanjing 210044, Jiangsu, Peoples R China
[2] Agr Univ Athens, Lab Ecol & Environm Sci, Iera Odos 75, GR-11855 Athens, Greece
基金
中国国家自然科学基金;
关键词
Dose-response; Effect size; Organismic sensitivity terminology; Plant resistance; Species tolerance; Statistical significance level; ABIOTIC STRESS TOLERANCE; SNAP BEAN GENOTYPES; AMBIENT OZONE; BIOLOGICAL SENSITIVITY; BETULA-PENDULA; RESISTANCE; RESPONSES; POPLAR; WATER; RICE;
D O I
10.1016/j.scitotenv.2019.134962
中图分类号
X [环境科学、安全科学];
学科分类号
083001 [环境科学];
摘要
In a world with climate change and environmental pollution, modern Biology is concerned with organismic susceptibility. At the same time, policy and decision makers seek information about organismic susceptibility. Therefore, information about organismic susceptibility may have far-reaching implications to the entire biosphere that can extend to several forthcoming generations. Here, we review a sample of approximately 200 published peer-reviewed articles dealing with plant response to ground -level ozone to understand how the information about susceptibility is communicated. A fuzzy and often incorrect terminology was used to describe the responsiveness of plants to ozone. Susceptibility was classified too arbitrarily and this was reflected to the approximately 50 descriptive words that were used to characterize susceptibility. The classification of susceptibility was commonly based on calculated probability (p) value. This practice is inappropriate as p values do not provide any basis for effect or susceptibility magnitude. To bridge the gap between science and policy decision making, classification of susceptibility should be done using alternative approaches, such as effect size estimates in conjunction with multivariate ordination statistics. (C) 2019 Elsevier B.V. All rights reserved.
引用
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页数:9
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