L. Stone

A machine learning method for estimating the probability of presence using presence-background data

This paper introduces a machine learning method to estimate species presence probability from presence-background data, showing improved performance over existing methods.

Effectiveness of Joint Species Distribution Models in the Presence of Imperfect Detection

This paper introduces a JSDM that accounts for imperfect detection and evaluates its performance compared to models that do not, finding that detection must be considered to avoid biased estimates of species correlations and distributions.

The feasibility and stability of large complex biological networks: a random matrix approach

This paper applies random matrix theory to analyze the stability of large complex biological networks with density-dependence, finding that most feasible systems are stable and resilience depends on minimum equilibrium populations.