Stressors in the real world: evaluating impacts of multiple stressors in coastal wetlands

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Connolly, Roderick M

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Sievers, Michael K

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2023-11-06
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Abstract

Multiple stressors are ubiquitous in the environment and the effective management of stressors is becoming increasingly important in the Anthropocene as vital habitats continue to be degraded and lost globally. Coastal wetlands are among the most threatened ecosystems facing enormous pressure from anthropogenic stressors. Stressors often co-occur in the environment, which can lead to compounding effects on ecosystem structure, function, and the provision of vital services. Additionally, co-occurring stressors may interact to result in 'ecological surprises' where the combined effects of stressors are greater (i.e., synergistic) or lesser (i.e., antagonistic) than the expected additive (i.e., sum of individual) effects. Stressor interactions, therefore, can pose challenges for accurately predicting stressor impacts within ecosystems. Much of our current understanding of multiple stressor impacts is derived from highly controlled experiments that do not account for environmental variability (e.g., tidal cycles) and ecological complexity (e.g., species interactions). Natural physicochemical environments are highly dynamic across spatiotemporal scales, which may influence ecosystem responses to multiple stressors. For example, environmental variability may alter stressor intensity, timing, and duration of presence in ecosystems, which can ultimately influence stressor interactions and impacts. Despite this, few studies investigate the effects of variations in stressor intensity (i.e., fluctuations) and synchronicity (i.e., timing of fluctuations), but rather keep stressors of interest static (i.e., constant) over time. Responses to stressors are also often measured at lower levels of biological organisation, such as molecular and whole individual levels. Extrapolating outcomes measured at these lower levels, and from experiments on static stressors in the laboratory, to predict how ecosystems will respond to stressors may lead to over or underestimation of cumulative impacts, resulting in less efficient conservation and management. [...]

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Thesis (PhD Doctorate)

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Doctor of Philosophy (PhD)

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School of Environment and Sc

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The author owns the copyright in this thesis, unless stated otherwise.

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Chapters 2, 3 and 5 can be accessed via the Related Items links below.

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Subject

multiple stressors

anthropogenic impact

ecological realism

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