Shripad D. Tuljapurkar

This paper develops an exact joint probability distribution for lifetime reproductive success across multiple environmental states and applies it to show how initial birth environments shape lineage extinction risks in different species.

This paper introduces S-elasticity, a second-order elasticity measure to analyze nonlinear fitness responses to vital rate perturbations in ecology and evolution.

The paper uses stochastic simulations of population models to show life history traits predict how population structure influences population growth rate under environmental variability.

The paper develops a unified matrix framework to analyze both pulse and press disturbances in populations, showing how transient dynamics influence long-term fitness and demographic responses.

The paper uses Bayesian models to show that population responses to environmental stochasticity vary widely and are driven by survival-reproduction trade-offs and aridity.

The paper examines the ecological and genetic resilience of traditional crops in the Indian Trans Himalaya, finding they are better adapted to local conditions and have greater genetic diversity than introduced crops.

The paper introduces a framework to quantify the effects of environmental factors, population structure, and demographic rates on demographic buffering in plant species.

This study shows density dependence shapes life-history trade-offs and reproductive success distribution in Soay sheep populations.

This study shows that lower inflation environments lead to higher stochastic population growth rates, driven by better survival and fertility at older ages and later reproductive years.

The paper quantifies genetic, environmental, and stochastic variability in Plantago lanceolata's survival and reproduction using size-structured matrix models, showing stochastic variation has a larger impact than genetic or environmental factors.