D. B. Stouffer

Environmental context, parameter sensitivity and structural sensitivity impact predictions of annual-plant coexistence

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

Estimating interaction matrices from performance data for diverse systems

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

Non-additive biotic interactions improve predictions of tropical tree growth and impact community size structure

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

The dimensionality of plant-plant competition

The paper quantifies niche dimensionality in plant assemblages and shows environmental changes can increase it, affecting species diversity and survival.

Global and regional ecological boundaries drive abrupt changes in avian frugivory interactions

The paper examines how ecological boundaries and human disturbance gradients affect avian frugivory networks, finding increased dissimilarity across these boundaries.

Geometric complexity and the information-theoretic comparison of functional-response models

This paper introduces the Fisher Information Approximation to assess geometric complexity in functional-response models, showing how model flexibility affects inference and highlighting limitations of AIC/BIC.

Predictions of biodiversity are improved by integrating trait-based competition with abiotic filtering

The paper introduces a framework integrating trait-based competition with abiotic filtering to improve predictions of species abundances and community structure.

Exploiting node metadata to predict interactions in large networks using graph embedding and neural networks

The paper presents a method combining graph embedding and machine learning to predict network interactions using node metadata, showing it works well on a tourist visit dataset.

Sahul's megafauna were vulnerable to plant-community changes due to their position in the trophic network

The paper investigates whether trophic cascades contributed to megafauna extinctions in Sahul by analyzing pre-extinction trophic networks and finding that extinct species were more vulnerable to cascades and new predators.

Hidden layers of density dependence in consumer feeding rates

The paper reveals hidden density dependence in consumer feeding rates by analyzing functional-response datasets and showing pervasive non-independence between feeding processes.

Systematic bias in studies of consumer functional responses

The paper identifies systematic bias in the statistical comparison and parameter estimation of functional-response models due to low sample sizes and insufficient replication.

Food web structure alters ecological communities top-heaviness with little effect on the biodiversity-functioning relationship.

The paper uses food web models to show how community structure affects biomass distribution without significantly altering the biodiversity-functioning relationship.

Environment affects specialisation of plants and pollinators

The paper investigates how environmental stress influences plant-pollinator specialisation, finding that species adapt their interaction strategies based on environmental conditions.

The trade-offs of sharing pollinators: pollination service is determined by the community context

The paper shows that pollination service is more influenced by plant abundance and visit effectiveness than by the number of shared pollinators, with trade-offs depending on community context.

Uncovering indirect interactions in bipartite ecological networks

The paper introduces a framework using bipartite motifs to analyze indirect interactions in ecological networks, showing how they reveal ecological differences missed by traditional metrics.