GSTDTAP
项目编号NE/S000135/1
Classic and temporal mixture synergism in terrestrial ecosystems: Prevalence, mechanisms and impacts
Roman Ashauer
主持机构University of York
项目开始年2018
2018-09-01
项目结束日期2022-08-31
资助机构UK-NERC
项目类别Research Grant
项目经费347518(GBP)
国家英国
语种英语
英文摘要Invertebrate species living above and below ground are central to terrestrial food webs and key contributors to carbon cycling, soil fertility and pest control. Many of these important species are highly vulnerable to chemical pollution. The range of chemicals these species are regularly exposed to is becoming increasingly complex. For example, farmers now use 50% more types of pesticide on arable crops than they did 15 years ago and an ever-increasing diversity of chemicals enter ecosystems from our domestic and industrial wastes. A challenge for chemical producers, users and regulators is to find ways to maximise the benefits of chemical use, while minimising any negative effects. Scientific research to support better 'ecological risk assessment' of chemicals is central to meeting this challenge.

Many of the chemicals we use today come from new, less well studied, compound classes that can affect biological processes, in diverse ways, in different species. Our current lack of knowledge about these chemicals makes their ecological effects difficult to assess. Things become more complicated when we realise that pollutants almost always occur as mixtures. If we want to properly to address and avoid unwanted chemical impacts, we need to better understand and take account of chemical mixtures.

The most commonly used way to predict the likely effects of pollutant mixtures on invertebrates and ecosystems assumes that chemicals do not interact with each other and that, therefore, their toxicities can be added together. This relatively simple 'additive' approach has been shown to work most of the time. However, for a substantial proportion of mixtures (up to 20% depending on chemical classes included), the observed effects are worse than expected based on addition. Where such 'synergy' occurs, environmental protection policies for mixtures based on additivity will underestimate actual effects (see Fig. 1, Case for Support). Clearly this is a problem. To address it, we need to identify interactive chemical mixtures and predict the most likely causes of synergy. In turn, this requires us to understand how the mechanisms of toxicity of different chemicals in a mixture interplay with the different biochemical, physiological and ecological traits of exposed species to cause synergy. The main aim of this project is to gain and apply this knowledge.

Our own research has identified some chemical mixtures that are more likely to show synergy, with higher levels of toxicity to exposed invertebrates. For example, where: (a) a chemical affects the way that another is detoxified or activated; or (b) a chemical increases the biological uptake of another chemical; or (c) prior exposure to a chemical changes the biological toxicity of another chemical, depending on the timing of exposure. However, we are very far from understanding all cases. Thus, this project aims to transform our ability to identify, quantify and predict the potential for synergy in common terrestrial pollution scenarios (agrochemical use, waste inputs).

Working with partner agencies, we will identify potentially synergistic chemical pollutant mixtures, relevant to terrestrial ecosystems, and conduct experiments to test their effects on a range of invertebrate species. When we observe synergy in one species, other species will be tested to discover if this is a general effect. Biochemical and genetic methods will be used to identify mechanisms of toxicity and species traits associated with synergism, integrating this information to develop models and new predictive tools. To ensure the effects we see in the laboratory are relevant to the field, we will conduct studies in outdoor systems to test for the presence of synergism in natural communities. Ultimately, we will use our findings to produce a POSTnote 'White paper' detailing how future risk assessment policies can explicitly consider synergism to support environmental protection.
来源学科分类Natural Environment Research
文献类型项目
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/87239
专题环境与发展全球科技态势
推荐引用方式
GB/T 7714
Roman Ashauer.Classic and temporal mixture synergism in terrestrial ecosystems: Prevalence, mechanisms and impacts.2018.
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