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Abhinav Singh

Publications and source records attributed to Abhinav Singh.

20 records · Page 2Linked to original sources

General Mechanisms for Inverted Biomass Pyramids in Ecosystems

Although the existence of robust inverted biomass pyramids seem paradoxical, they have been observed in planktonic communities, and more recently, in pristine coral reefs. Understanding the underlying mechanisms which produce inverted biomass pyramids provides new ecological insights, and for coral reefs, may help mitigate or restore damaged reefs. We present three classes of predator-prey models which elucidate mechanisms that generate robust inverted biomass pyramids. The first class of models exploits well-mixing of predators and prey, the second class has a refuge (with explicit size) for the prey to hide, and the third class incorporates the immigration of prey. Our models indicate that inverted biomass pyramids occur when the prey growth rate, prey carrying capacity, biomass conversion efficiency, the predator life span, or the immigration rate of prey fish is sufficiently large. In the second class, we discuss three hypotheses on how refuge size can impact the amount of prey available to predators. By explicitly incorporating a refuge size, these can more realistically model predator-prey interactions than refgue models with implicit refuge size.

q-bio.PE↗

Schelling's Segregation Model: Parameters, Scaling, and Aggregation

Thomas Schelling proposed an influential simple spatial model to illustrate how, even with relatively mild assumptions on each individual's nearest neighbor preferences, an integrated city would likely unravel to a segregated city, even if all individuals prefer integration. Aggregation relates to individuals coming together to form groups and global aggregation corresponds to segregation. Many authors assumed that the segregation which Schelling observed in simulations on very small cities persists for larger, realistic size cities. We devise new measures to quantify the segregation and unlock its dependence on city size, disparate neighbor comfortability threshold, and population density. We identify distinct scales of global aggregation, and show that the striking global aggregation Schelling observed is strictly a small city phenomenon. We also discover several scaling laws for the aggregation measures.

nlin.AO↗