G. Baruah

Plant metabolites modulate animal social networks and lifespan

This study shows that non-nutritive plant metabolites increase social interactions and reduce lifespan in turnip sawflies.

Mutualistic network architecture and eco-evolutionary feedbacks modulate the occurrence of transitions and stability in response to rising temperature

This study evaluates how mutualistic network architecture and evolutionary dynamics influence the resilience of ecological networks to temperature changes and the occurrence of critical transitions.

Reviving collapsed networks from a single species: the importance of trait variation and network architecture

The paper shows that perturbing a single species can revive collapsed mutualistic networks, even under unfavorable conditions, by leveraging network architecture and trait variation.

Evolutionary effects of individual variation and dimensionality of higher-order interactions on the robustness of species coexistence

This study examines how individual variation and higher-order interactions affect species coexistence, finding that individual variation does not promote coexistence but can stabilize communities under higher-order interactions.

Abrupt transitions and its indicators in mutualistic meta-networks: effects of network topology, size of metacommunities and species dispersal

The paper evaluates how network topology, metacommunity size, and species dispersal affect abrupt transitions in plant-pollinator meta-networks and the predictability of such transitions.

Community structure determines the predictability of population collapse

This study shows that community structure affects the reliability of early warning signals for population collapse, with abundance-based signals being more reliable than trait-based ones in multi-species communities.

Effect of time-series length and resolution on abundance- and trait-based early warning signals of population declines

This study evaluates how time-series length and resolution affect the effectiveness of early warning signals for population decline, showing that trait data can improve forecasting accuracy.

Higher order interactions and coexistence theory

The paper derives a general rule for species coexistence modulated by higher order interactions using a three-species Lotka-Volterra model and extends it to multispecies communities.

Intraspecific variation promotes trait clustering and species coexistence through higher-order interactions.

The paper uses a Lotka-Volterra model to show that intraspecific variation stabilizes species coexistence through higher-order interactions and trait clustering.

Eco-evolutionary processes underlying early warning signals of population declines

This study shows that ecological and evolutionary factors influence the strength of early warning signals for population declines, and combining trait and abundance data improves prediction accuracy.

When do shifts in trait dynamics precede population declines?

The paper shows that shifts in fitness-related traits can precede population declines under medium-to-slow environmental change, influenced by predictability, reproductive rate, plasticity, and genetic variation.