Integrating animal behaviour into research on multiple environmental stressors: a conceptual framework

López, Laura; Gil, Michael A.; Crowley, Philip H.; Trimmer, Pete C.; Munson, Amelia; Ligocki, Isaac Y.; Michelangeli, Marcus; Sih, Andrew

doi:10.22541/au.161217752.23254903/v1

Cited by 2 publications

(2 citation statements)

References 120 publications

(127 reference statements)

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“…Currently, our framework does not consider the spatial dimension since the effects of multiple drivers on dispersal are incompletely understood ( Lopez et al, 2021 ). However, a distributed experiment across a range of model organisms has shown that top-down (i.e., predator cues) and bottom-up effects (i.e., resource availability) will modulate dispersal ( Fronhofer et al, 2018 ).…”

Section: Implications For Future Research and Conclusionmentioning

confidence: 99%

Predicting effects of multiple interacting global change drivers across trophic levels

Moorsel

Thébault

Radchuk

et al. 2022

Global Change Biology

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Global change encompasses many co-occurring anthropogenic drivers, which can act synergistically or antagonistically on ecological systems. Predicting how different global change drivers simultaneously contribute to observed biodiversity change is a key challenge for ecology and conservation. However, we lack the mechanistic understanding of how multiple global change drivers influence the vital rates of multiple interacting species. We propose that reaction norms, the relationships between a driver and vital rates like growth, mortality, and consumption, provide insights to the underlying mechanisms of community responses to multiple drivers. Understanding how multiple drivers interact to affect demographic rates using a reaction-norm perspective can improve our ability to make predictions of interactions at higher levels of organization-that is, community and food web. Building on the framework of consumer-resource interactions and widely studied thermal performance curves, we illustrate how joint driver impacts can be scaled up from the population to the community level. A simple proof-of-concept model demonstrates how reaction norms of vital rates predict the prevalence of driver interactions at the community level. A literature search suggests that our proposed approach is not yet used in multiple driver research. We outline how realistic response surfaces (i.e., multidimensional reaction norms) can be inferred by parametric and nonparametric approaches. Response surfaces have the potential to strengthen our understanding of how multiple drivers affect communities as well as improve our ability to predict when interactive effects emerge, two of the major challenges of ecology today.

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Section: Implications For Future Research and Conclusionmentioning

confidence: 99%

Predicting effects of multiple interacting global change drivers across trophic levels

Moorsel

Thébault

Radchuk

et al. 2022

Global Change Biology

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show abstract

“…Time and effort spent on predator detection and avoidance can be critical to survival. However, such activities can also conflict with other important behaviours, such as foraging and mate attraction [1–3]. Indeed, the energetic demands of antipredator behaviours can be substantial enough to have negative population and ecosystem-level consequences [4–7].…”

Section: Introductionmentioning

confidence: 99%

Size dependent antipredator responses in a fish–shrimp mutualism

Polverino,

Lehtonen,

Geschke

et al. 2024

Biol. Lett.

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For prey, taking refuge from predators has obvious fitness benefits but may also be costly by impinging on time and effort available for feeding or attracting mates. The antipredator responses of refuge-seeking animals are therefore predicted to vary strategically depending on how threatening they perceive the risk. To test this, we studied the impacts of a simulated predatory threat on the antipredator responses of wild sandy prawn-gobies ( Ctenogobiops feroculus ) that co-inhabit burrows with Alpheus shrimp (family Alpheidae) in a mutualistic relationship. We exposed goby–shrimp pairs, repeatedly on three separate occasions, to an approaching threat and measured the antipredator behaviours of both partners. We found that re-emerging from the burrow took longer in large compared to small fish. Moreover, quicker re-emergence by small—but not medium or large-sized gobies—was associated with an earlier flight from the approaching threat (i.e. when the threat was still further away). Finally, the goby and shrimp sharing a burrow were matched in body size and their risk-taking behaviour was highly dependent on one another. The findings contribute to our understanding of how an individual's phenotype and perception of danger relates to its risk-taking strategy, and how mutualistic partners can have similar risk sensitivities.

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Integrating animal behaviour into research on multiple environmental stressors: a conceptual framework

Cited by 2 publications

References 120 publications

Predicting effects of multiple interacting global change drivers across trophic levels

Predicting effects of multiple interacting global change drivers across trophic levels

Size dependent antipredator responses in a fish–shrimp mutualism

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