Spatial and Ecological Scaling of Stability in Spatial Community Networks

Jarillo, Javier; Cao‐García, Francisco J.; Laender, Frederik De

doi:10.3389/fevo.2022.861537

Cited by 6 publications

(6 citation statements)

References 72 publications

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“…Indeed, recent studies advocate for the use of the temporal variability of biomass (Arnoldi et al, 2018; Haegeman et al, 2016), which is measured by the coefficient of variation (CV), and can be easily measured experimentally. In addition, Wang and Loreau (2014, 2016), Wang et al (2019), and Jarillo et al (2022) showed that CVs scale up from local populations to community, regional and metacommunity levels, therefore providing a comparison of stability at different scales. Many other measures of stability are considered in ecology (Arnoldi et al, 2016), such as the asymptotic resilience used in Rooney et al (2006), but Haegeman et al (2016) have showed that the latter is only representative of the response of rare species to perturbations (also see Quévreux, Barbier, & Loreau, 2021).…”

Section: Methodsmentioning

confidence: 99%

Spatial heterogeneity of biomass turnover has contrasting effects on synchrony and stability in trophic metacommunities

Quévreux,

Haegeman,

Loreau

2023

Ecology Letters

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Spatial heterogeneity is a fundamental feature of ecosystems, and ecologists have identified it as a factor promoting the stability of population dynamics. In particular, differences in interaction strengths and resource supply between patches generate an asymmetry of biomass turnover with a fast and a slow patch coupled by a mobile predator. Here, we demonstrate that asymmetry leads to opposite stability patterns in metacommunities receiving localized perturbations depending on the characteristics of the perturbed patch. Perturbing prey in the fast patch synchronizes the dynamics of prey biomass between the two patches and destabilizes predator dynamics by increasing the predator's temporal variability. Conversely, perturbing prey in the slow patch decreases the synchrony of the prey's dynamics and stabilizes predator dynamics. Our results have implications for conservation ecology and suggest reinforcing protection policies in fast patches to dampen the effects of perturbations and promote the stability of population dynamics at the regional scale.

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Section: Methodsmentioning

confidence: 99%

Spatial heterogeneity of biomass turnover has contrasting effects on synchrony and stability in trophic metacommunities

Quévreux,

Haegeman,

Loreau

2023

Ecology Letters

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“…Moreover, species identities and abundances vary as a function of scale, making response diversity scale dependent. Practical users of response diversity should be careful not to extrapolate results beyond the focal temporal or spatial scale given that ecological stability and its drivers vary in time and space (Jarillo et al, 2022; Ross, Suzuki, et al, 2021b). Disturbance also has a temporal and spatial signature, meaning that the spatiotemporal scale of reference determines the environmental conditions and potential disturbances to which ecological communities are subject (Jackson et al, 2021; Zelnik et al, 2018).…”

Section: Future Directions and Challengesmentioning

confidence: 99%

How to measure response diversity

et al. 2023

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1. The insurance effect of biodiversity-that diversity stabilises aggregate ecosystem properties-is mechanistically underlain by inter-and intraspecific trait variation in organismal responses to the environment. This variation, termed response diversity, is therefore a potentially critical determinant of ecological stability.However, response diversity has yet to be widely quantified, possibly due to difficulties in its measurement. Even when it has been measured, approaches have varied.2. Here, we review methods for measuring response diversity and from them distil a methodological framework for quantifying response diversity from experimental and/or observational data, which can be practically applied in laboratory and field settings across a range of taxa.3. Previous empirical studies on response diversity most commonly invoke response traits as proxies aimed at capturing species' ecological responses to the environment. Our approach, which is based on environment-dependent ecological responses to any biotic or abiotic environmental variable, is conceptually simple and robust to any form of environmental response, including nonlinear responses.Given its derivation from empirical data on species' ecological responses, this approach should more directly reflect response diversity than the trait-based approach dominant in the literature. 4. By capturing even subtle inter-or intraspecific variation in environmental responses, and environment dependencies in response diversity, we hope this framework will motivate tests of the diversity-stability relationship from a new perspective, and provide an approach for mapping, monitoring and conserving this critical dimension of biodiversity.

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“…Practical users of response diversity should be careful not to extrapolate results beyond the focal temporal or spatial scale, given that ecological stability and its drivers vary in time and space (Ross et al . 2021b; Jarillo et al . 2022).…”

Section: Future Directions and Challengesmentioning

confidence: 99%

“…Moreover, species identities and abundances vary as a function of scale, making response diversity scale dependent. Practical users of response diversity should be careful not to extrapolate results beyond the focal temporal or spatial scale given that ecological stability and its drivers vary in time and space (Ross et al 2021b;Jarillo et al 2022). Disturbance also has a temporal and spatial signature, meaning that the spatiotemporal scale of reference determines the environmental conditions and potential disturbances to which ecological communities are subject (Zelnik et al 2018;Jackson et al 2021).…”

Section: Abundance and Scale-dependencementioning

confidence: 99%

How to measure response diversity

Ross

Petchey

Sasaki

et al. 2022

Preprint

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Taxonomic diversity metrics are, at best, proxies for the inter- and intraspecific trait differences that mechanistically underlie the insurance effect of biodiversity—that diversity enhances and stabilises aggregate ecosystem properties. In theory, variation in functional (e.g., biomass) responses to environmental change can buffer and maintain ecosystem functioning. This variation, termed response diversity, is therefore a potentially critical determinant of ecological stability. However, response diversity has yet to be widely quantified, possibly due to difficulties in its measurement. Even when it has been measured, approaches have varied. Here, we review methods for measuring response diversity and propose a methodological framework for quantifying response diversity from experimental or observational data, which can be practically applied in lab and field settings across a range of taxa. Our approach, which is based on environment-dependent functional responses to any biotic or abiotic environmental variable, is conceptually simple and robust to any form of environmental response, including nonlinear responses. By capturing even subtle inter- or intraspecific variation in environmental responses, and environment-dependencies in response diversity, we hope this framework will motivate tests of the diversity-stability relationship from a new perspective, and provide an approach for mapping, monitoring, and protecting this critical element of biodiversity.

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Spatial and Ecological Scaling of Stability in Spatial Community Networks

Cited by 6 publications

References 72 publications

Spatial heterogeneity of biomass turnover has contrasting effects on synchrony and stability in trophic metacommunities

Spatial heterogeneity of biomass turnover has contrasting effects on synchrony and stability in trophic metacommunities

How to measure response diversity

How to measure response diversity

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