M. M. Mayfield

The paper assesses how climate change affects tropical forest community persistence by analyzing plant-plant interaction networks and structural stability over 25 years.

The paper introduces a modern pantograph for non-destructive spatial mapping of herbaceous vegetation plots, providing design instructions and guidelines for field use.

The paper evaluates how environmental context, parameter sensitivity, and model structure affect predictions of species coexistence in annual plants.

The paper develops a method to estimate interaction matrices from performance data in diverse systems, demonstrating its application in a plant community case study.

The paper builds a growth model incorporating non-additive biotic interactions to better predict tropical tree growth and community size structure.

This paper introduces a Bayesian sparse modeling approach to identify key species interactions in diverse communities by reducing parameter complexity and distinguishing environmental effects from competitive interactions.

The paper examines how aridity affects trait means and variances in eight Australian tree species across their geographic range, finding coordinated trait shifts but no consistent decrease in trait variance.

The study experimentally tests how competition and environmental conditions interact to affect species persistence and coexistence in plant communities.