Invited Seminar at CES on 9 July 2025 at 10:00 am titled "Understanding eco-evolutionary dynamics in diverse communities" by Dr. Akshit Goyal from International Centre for Theoretical Studies

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Topic: 
Understanding eco-evolutionary dynamics in diverse communities
Speaker: 
Dr. Akshit Goyal, International Centre for Theoretical Studies
Date & Time: 
9 Jul 2025 - 10:00am
Event Type: 
Invited Seminar
Venue: 
CES Seminar Hall, 3rd Floor, Biological Sciences Building
Coffee/Tea: 
Before the talk
Abstract:

Organisms in nature evolve within complex, species-rich communities shaped by ongoing ecological interactions. Yet theoretical frameworks remain fragmented—ecology often ignores evolution, while evolutionary theory assumes isolated populations. I will present our efforts to bridge this gap by developing a unified theory of eco-evolutionary dynamics in highly diverse communities. We begin by treating new mutants as invaders and constructing a theory of ecological invasions that incorporates feedbacks from community restructuring. This leads to the concept of dressed invasion fitness, which extends classical fitness measures to account for extinction cascades and community shifts. Surprisingly, we find that mutants and parents can frequently coexist—contrary to traditional models—often due to the extinction of low-abundance species. These predictions are borne out in experimental plant and microbial ecosystems. Building on this, we generalize Kimura’s fixation probability to complex communities, revealing how ecological interactions reshape evolutionary outcomes. Together, these results lay the groundwork for a general theory of eco-evolution, offering new insight into how evolution proceeds in the tangled web of life.

Speaker Bio: 
Dr. Akshit Goyal is interested in the collective dynamics of evolving ecosystems. From the maintenance of biodiversity to self-organized energy flows, several phenomena in ecosystems emerge from interactions between many species. However, unlike traditional many-body systems in physics, each species in an ecosystem tunes its parameters in response to its environment during evolution, which constantly reorganizes the entire system. To understand the principles behind these complex systems, we need new theoretical and computational tools. He uses concepts from dynamical systems, nonequilibrium statistical physics, data assimilation, and information theory to develop these tools, test their predictions against data, and better understand evolving ecosystems.