B. I. Simmons

The paper shows that persistence of small ecological subnetworks can reliably predict the persistence of entire ecological networks, aiding conservation efforts.

The paper examines indirect interactions in pollination networks using motif analysis, finding distinct structural patterns associated with neutral and niche-based processes.

maxnodf provides fast algorithms for calculating normalised nestedness in ecological networks, enabling efficient analysis of large datasets.

The paper assesses the availability of context-specific evidence for amphibian and bird conservation, finding it extremely low and unevenly distributed.

This study analyzes 3,245 SCCS conference applications to show increased focus on human-nature benefits and social science integration in tropical field research by early-career conservationists.

This paper assesses biases and gaps in conservation literature for amphibians and birds, highlighting geographic and taxonomic disparities in study coverage and effectiveness metrics.

This study compares the accuracy of different ecological study designs in estimating biodiversity responses to environmental impacts and finds that more robust designs like BACI are significantly more accurate than simpler designs.

The paper quantifies the risk of mutualistic interactions based on vulnerability and importance across 41 pollination and seed dispersal networks, finding that more vulnerable interactions are also more important for network stability.

bmotif is an R package for analyzing bipartite network motifs, providing mathematical formalization and tools to study meso-scale structure in ecological networks.

The paper investigates the direction of the abundance-generalisation relationship in plant-hummingbird pollination networks and finds that abundance drives generalisation, supported by neutral processes.

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.