The dimensionality of stability depends on disturbance type

Radchuk, Viktoriia; Laender, Frederik De; Cabral, Juliano Sarmento; Boulangeat, Isabelle; Crawford, Michael; Bohn, Friedrich J.; Raedt, Jonathan De; Scherer, Cédric; Svenning, Jens Christian; Thonicke, Kirsten; Schurr, Frank M.; Grimm, Volker; Kramer‐Schadt, Stephanie

doi:10.1111/ele.13226

Cited by 73 publications

(104 citation statements)

References 56 publications

(143 reference statements)

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“…More generally, we simulated random disturbances, and our findings could differ for other types of disturbances (Radchuk et al, ). For instance, selective logging typically targets a few species, which could favour complementarity over selection if dominant species are repeatedly chosen.…”

Section: Discussionmentioning

confidence: 97%

Functional diversity improves tropical forest resilience: Insights from a long‐term virtual experiment

et al. 2020

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1. Human activities modify the disturbance regimes of tropical forests. Since tropical forests host high biological diversity, understanding the role of biodiversity in ecosystem recovery pathways and the underlying ecological mechanisms is crucial to predict the fate of tropical ecosystems. Studies relying on regularly censused forest plots, rarely include disturbed forests, are not long enough to assess longterm forest dynamics and often lack repeatability.2. We used an individual-based model of tropical forest growth to assess the effect of species and functional diversity on long-term ecosystem recovery from disturbance. We manipulated the number of species and functional assemblages across a large number of simulations and simulated different levels of disturbance. To investigate the ecological mechanisms that underlie the effect of biodiversity on forest functioning along recovery pathways, we partitioned the net effect of biodiversity on ecosystem properties into complementarity and selection effects over time.3. We found that functional diversity improved tropical forest resilience after a disturbance. The complementarity effect dominated soon after the disturbance but was progressively surpassed by a selection effect as more competitive species dominated the forest community. This pattern increased with the intensity of the disturbance. Synthesis.We found that the mechanisms through which biodiversity influences forest functioning depend on the ecosystem state, shifting from a dominant complementarity effect in recently disturbed systems to a selection effect in systems disturbed a long time ago. Our results thus suggest that the time since the last disturbance is a key to understanding biodiversity-ecosystem functioning relationships in tropical forests and can help reconcile previous contrasting results obtained with snapshots of ecosystem state in empirical studies. 832 | biodiversity-ecosystem functioning, complementarity effect, disturbance, individual-based model, recovery, selection effect, simulation | 833 Journal of Ecology SCHMITT eT al.

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Section: Discussionmentioning

confidence: 97%

Functional diversity improves tropical forest resilience: Insights from a long‐term virtual experiment

et al. 2020

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“…Thus, in our system, high diversity in the treatments where predators were present may correspond to stable coexistence along a moving trajectory, despite the fact that the dominant eigenvalue was generally greater than one. Recent work suggests that applying multiple different stability measures, across multiple spatial and temporal scales, may help disentangle these kinds of non‐stationary dynamics from those where stable coexistence is not possible (Donohue et al 2016; Zelnik et al 2018; Clark et al 2019; Radchuk et al 2019).…”

Section: Discussionmentioning

confidence: 99%

Diversity and coexistence are influenced by time‐dependent species interactions in a predator–prey system

2020

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Although numerous studies show that communities are jointly influenced by predation and competitive interactions, few have resolved how temporal variability in these interactions influences community assembly and stability. Here, we addressed this challenge in experimental microbial microcosms by employing empirical dynamic modelling tools to: (1) detect causal interactions between prey species in the absence and presence of a predator; (2) quantify the time-varying strength of these interactions and (3) explore stability in the resulting communities. Our findings show that predators boost the number of causal interactions among community members, and lead to reduced dynamic stability, but higher coexistence among prey species. These results correspond to time-varying changes in species interactions, including emergence of morphological characteristics that appeared to reduce predation, and indirectly facilitate growth of predatorsusceptible species. Jointly, our findings suggest that careful consideration of both context and time may be necessary to predict and explain outcomes in multi-trophic systems.

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“…Organising stability metrics into groups is an important but clearly not an easy task. Although recent theoretical advances have started to unravel the mathematical relationships between some of the stability metrics as well as the conditions for these interdependencies (Loreau ; Arnoldi et al ; Arnoldi & Haegeman ; Haegeman et al ; Radchuk et al ), we are far from having a complete picture of the relationships between stability metrics.…”

Section: Challenges and Opportunitiesmentioning

confidence: 99%

“…Organising stability metrics into groups is an important but clearly not an easy task. Although recent theoretical advances have started to unravel the mathematical relationships between some of the stability metrics as well as the conditions for these interdependencies (Loreau 1994;Haegeman et al 2016;Radchuk et al 2019), we are far from having a complete picture of the relationships between stability metrics. Donohue et al (2013) have suggested a way forward by studying correlations between metrics to estimate what they refer to as 'the dimensionality' of stability.…”

Section: Elucidating the Relationships Between Stability Metricsmentioning

confidence: 99%

Advancing our understanding of ecological stability

et al. 2019

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The concept of ecological stability occupies a prominent place in both fundamental and applied ecological research. We review decades of work on the topic and examine how our understanding has progressed. We show that our understanding of stability has remained fragmented and is limited largely to simple or simplified systems. There has been a profusion of metrics proposed to quantify stability, of which only a handful are used commonly. Furthermore, studies typically quantify one to two metrics of stability at a time and in response to a single perturbation, with some of the main environmental pressures of today being the least studied. We argue that we need to build on the existing consensus and strong theoretical foundation of the stability concept to better understand its multidimensionality and the interdependencies between metrics, levels of organisation and types of perturbations. Only by doing so can we make progress in the quantification of stability in theory and in practice, and eventually build a more comprehensive understanding of how ecosystems will respond to ongoing environmental change.

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The dimensionality of stability depends on disturbance type

Cited by 73 publications

References 56 publications

Functional diversity improves tropical forest resilience: Insights from a long‐term virtual experiment

Functional diversity improves tropical forest resilience: Insights from a long‐term virtual experiment

Diversity and coexistence are influenced by time‐dependent species interactions in a predator–prey system

Advancing our understanding of ecological stability

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