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More resources don’t always mean more diversity: new insights from an ecological model
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by Aakanksha Madhwal, edited by Genrietta Yagudayeva and Julia Harenčár
“Metabolic Trade-Offs Can Reverse the Resource-Diversity Relationship”
Environments with a higher diversity of resources are usually assumed to support a higher diversity of species that compete for them. However, Miller & O'Dwyer find that if organisms face limits on their ability to use different resources, this fundamental relationship can flip...
With no metabolic trade-off, average species diversity increases with the number of resources in a stochastic simulation (left). However, when a trade-off is present, the relationship between resource diversity and species diversity is reversed (right). Miller and O'Dwyer show how this reversal results from a transition between emergent neutral dynamics (with few resources) and niche dynamics (with many resources) under metabolic trade-offs. When there are only two resources, the simulations with a trade-off behave very similarly to a neutral model (neutral model diversity is shown with a black dashed line).Aakanksha MadhwalWith no metabolic trade-off, average species diversity increases with the number of resources in a stochastic simulation (left). However, when a trade-off is present, the relationship between resource diversity and species diversity is reversed (right). Miller and O'Dwyer show how this reversal results from a transition between emergent neutral dynamics (with few resources) and niche dynamics (with many resources) under metabolic trade-offs. When there are only two resources, the simulations with a trade-off behave very similarly to a neutral model (neutral model diversity is shown with a black dashed line).
Biodiversity is essential for sustaining life on Earth as it underpins crucial ecosystem services and enhances resilience against climate change and environmental stressors. Given the challenges we currently face, conserving biodiversity is crucial not only for ecological balance but also for human well-being. Understanding the factors that drive biodiversity in the first place is fundamental to developing effective conservation strategies. There are several theories that aim to explain patterns of biodiversity and the underlying factors that drive them, with neutral and niche theories being among the most prominent and widely studied.
The niche theory suggests that biodiversity is influenced by resource partitioning. When species effectively use different resources, greater resource diversity allows for more species to coexist without competition. Neutral theory, on the other hand, assumes that all species are functionally equivalent and posits that biodiversity is shaped by random processes. It suggests that ecological factors like immigration rates, dispersal patterns, and community sizes, rather than competition or niche differences, primarily influence biodiversity. Both theories offer insights into biodiversity, but while the niche theory directly addresses the competitive exclusion principle - which states that two species competing for the same resources cannot coexist, the neutral theory is more focused on random processes. While both neutral and niche theories provide valuable insights into biodiversity, there are additional ecological mechanisms, like metabolic trade-offs (where species balance competing metabolic needs), which are central to understanding how resource diversity and ecological processes shape biodiversity patterns. The present study focuses on these mechanisms to explain the resource diversity relationship.
A recent study by Dr. Wingreen’s lab at Princeton University explored how factors like temporal environmental changes, habitat differences, and resource utilization trade-offs can mitigate competitive exclusion. The authors show that incorporating these ecological factors enables the emergence of both neutral and niche theory dynamics from a single model. This approach demonstrates how ecological processes can support species coexistence and sustain biodiversity, revealing how both niche-based and neutral processes interact.
By investigating a stochastic version of their model, Dr. Miller and Dr. O’Dwyer show that the interaction between niche and neutral processes can create an unexpected resource-diversity relationship, where consumer diversity typically decreases as resource diversity increases—contrary to predictions from either theory as well as the competitive exclusion principle. This occurs as communities shift between niche and neutral dynamics based on resource diversity. They also show that this transition is governed by the number of resources rather than by other well-established factors like niche overlap or stochasticity that define niche and neutral regimes, thus distinguishing their model from previous models. This resource-driven mechanism may help to explain the varied relationships observed between diversity and environmental heterogeneity, including negative correlations, depending on the balance of performance trade-offs and the characteristics of niche and neutral dynamics in these systems. The analysis also indicates that trade-offs enabling neutral dynamics—where species are considered functionally equivalent and biodiversity is shaped by random processes rather than competitive advantages—can make consumer diversity more sensitive to total resource supply than to the diversity of resources themselves, which represents environmental heterogeneity.
This study shows that a strict metabolic trade-off can reliably trigger a shift between neutral and niche dynamics, leading to different influences on diversity. By setting resource levels where all consumers have zero net growth, this trade-off disrupts the usual connection between resource diversity and consumer diversity. Without mechanisms like resource sharing, where one species benefits from the byproducts of another's metabolism, to link resource and consumer numbers, this process may produce a negative relationship between them. Examining additional aspects of neutral-niche transitions, such as species turnover and resilience, may reveal further insights and unexpected outcomes of these strong trade-offs. This research bridges the gap between competing biodiversity theories and offers a fresh perspective on mechanisms driving biodiversity.
Aakanksha Madhwal is a PhD student at the National Centre for Biological Sciences in Bangalore, India, working under the guidance of Dr. Deepa Agashe. Her research focuses on understanding the evolution of DNA repair genes and how it influences evolutionary trajectories in bacterial populations. She investigates laboratory populations of Escherichia coli to explore the role of DNA repair in shaping mutation rates and biases, and how these factors ultimately affect the ability of populations to adapt. Outside of her research, she enjoys exploring literature, music, and writing.