Evidence-based logic chains demonstrate multiple impacts of trace metals on ecosystem services

Hayes, Felicity; Spurgeon, Dave; Lofts, Stephen; Jones, Laurence

doi:10.1016/j.jenvman.2018.05.053

Cited by 22 publications

(21 citation statements)

References 188 publications

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“…Routes may be through direct application and run-off of agrochemicals (Kohler and Triebskorn, 2013;Elias et al, 2018), intended or accidental industrial releases (Batty and Hallberg, 2010), or via waste and wastewater infrastructure, such as for down the drain products passing through wastewater treatment (Munoz et al, 2008;Gardner et al, 2012), or in leachates from landfills (Masoner et al, 2014;Kummerer et al, 2019). As well as their recognized health effects (Landrigan et al, 2018), pollutant chemicals can also affect wildlife species and ecological communities (Hayes et al, 2018;Johnson et al, 2020), placing real costs on ecosystem functions and services (Wang et al, 2019). For example, Pretty et al (2000) identified external costs of £120 M and £16 M for pesticide and fertilizer applications to the United Kingdom drinking water supply chain.…”

Section: Introductionmentioning

confidence: 99%

Species Sensitivity to Toxic Substances: Evolution, Ecology and Applications

Spurgeon

Lahive

Robinson

et al. 2020

Front. Environ. Sci.

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Because it is only possible to test chemicals for effects on a restricted range of species and exposure scenarios, ecotoxicologists are faced with a significant challenge of how to translate the measurements in model species into predictions of impacts for the wider range of species in ecosystems. Because of this challenge, within ecotoxicology there is no more fundamental aspect than to understand the nature of the traits that determine sensitivity. To account for the uncertainties of species extrapolations in risk assessment, “safety factors” or species sensitivity distributions are commonly used. While valuable as pragmatic tools, these approaches have no mechanistic grounding. Here we highlight how mechanistic information that is increasingly available for a range of traits can be used to understand and potentially predict species sensitivity to chemicals. We review current knowledge on how toxicokinetic, toxicodynamic, physiological, and ecological traits contribute to differences in sensitivity. We go on to discuss how this information is being used to make predictions of sensitivity using correlative and trait-based approaches, including comparisons of target receptor orthologs. Finally, we discuss how the emerging knowledge and associated tools can be used to enhance theoretical and applied ecotoxicological research through improvements in mechanistic modeling, predictive ecotoxicology, species sensitivity distribution development, mixture toxicity assessment, chemical design, biotechnology application and mechanistically informed monitoring.

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Section: Introductionmentioning

confidence: 99%

Species Sensitivity to Toxic Substances: Evolution, Ecology and Applications

Spurgeon

Lahive

Robinson

et al. 2020

Front. Environ. Sci.

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“…Contrary to most organic pollutants, TME do not degrade in surface waters, sediments or soil whenever long removal processes are involved, thus resulting in long-term impacts on ecological communities (Hayes et al, 2018). Depending on the TME under consideration, the effects on organisms differ according to the concentration, chemical structure, bioavailability and utility of the particular TME in biological processes.…”

Section: Introductionmentioning

confidence: 99%

Comparative in vitro/in situ approaches to three biomarker responses of Myriophyllum alterniflorum exposed to metal stress

et al. 2019

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“…The role of soil properties in driving soil functions is generally known, and the impact of metal contamination on soil organisms and functions has been established in several studies. ,− ,,,,, However, no study has quantitatively linked the changes in soil functions and ESs caused by contamination from PTEs to soil properties. We proposed a quantitative technique, the adverse ecosystem pathway (AESP), to address and predict the direct and indirect effects of PTEs on ES proxies by using soil properties and functions.…”

Section: Discussionmentioning

confidence: 99%

“…5,18−25 between ESs and activities of soil organisms, several ESs can be compromised when soil organisms are exposed to metal stressors. 26,27 We wanted to explore the cascade of events that affect soil processes, functions, and the provision of ESs. Thus, we developed a conceptual modelcalled an adverse ecosystem service pathway (AESP)representing the physical, chemical, and biological events that adversely impact ESs in soil (Figure 1).…”

Section: Introductionmentioning

confidence: 99%

“…For instance, soil invertebrates feeding on detritus (an activity) release locked nutrients (a process) for plant and microbial use (an activity) and for livestock, wildlife, and human consumption (a benefit). Several studies have demonstrated that soil properties influence biological processes and functions that underlie ESs, while others have confirmed that PTEs are toxic to soil biota and that soil properties alter their bioavailability and thus impact metal toxicity. ,− Because of the strong links between ESs and activities of soil organisms, several ESs can be compromised when soil organisms are exposed to metal stressors. , …”

Section: Introductionmentioning

confidence: 99%

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Introducing the Adverse Ecosystem Service Pathway as a Tool in Ecological Risk Assessment

Awuah

Jegede

Hale

et al. 2020

Environ. Sci. Technol.

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Soils provide numerous ecosystem services (ESs) such as food production and water purification. These ESs result from soil organism interactions and activities, which are supported by the soil physicochemical properties. Risk assessment for this complex system requires understanding the relationships among its components, both in the presence and absence of stressors. To better understand the soil ecosystem and how exposure to potentially toxic elements impact ESs, we developed a quantitative technique, the adverse ecosystem service pathway (AESP) model. We sampled 47 soils across Canada and analyzed them for properties that included pH and cation exchange capacity. We spiked the soils with a metal mixture and measured 15 soil processes representing five ESs. Using a Pearson correlation, we confirmed that proxies of ESs are linked to soil properties. t test results showed that, apart from soil enzyme activities (p > 0.05), the processes underlying ES proxies are significantly reduced in metal-impacted soils. Using soil properties as predictors of ES proxies, we developed AESP models: one for spiked and another for control soils. These models showed adverse effects on ESs in spiked soils, depicted as changes in partial correlation coefficients. The AESP model, therefore, can be an important tool to understand complex ecosystems and improve risk assessment.

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Evidence-based logic chains demonstrate multiple impacts of trace metals on ecosystem services

Cited by 22 publications

References 188 publications

Species Sensitivity to Toxic Substances: Evolution, Ecology and Applications

Species Sensitivity to Toxic Substances: Evolution, Ecology and Applications

Comparative in vitro/in situ approaches to three biomarker responses of Myriophyllum alterniflorum exposed to metal stress

Introducing the Adverse Ecosystem Service Pathway as a Tool in Ecological Risk Assessment

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