Author

B. I. Simmons

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Ecology· 11

Signature Assays, Organisms & Methods

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Approach:statistical model· 10 Research Focus:ecology & biodiversity· 9 Research Focus:benchmarking· 6 Research Focus:database / resource· 3 Organism:multiple species· 2 Approach:deep learning· 1 Assay:field survey / ecological data· 1 Organism:plant (other)· 1

Frequent Co-Authors

W. J. Sutherland· 7 shared T. Amano· 5 shared L. V. Dicks· 4 shared P. A. Martin· 4 shared A. P. Christie· 3 shared G. E. Shackelford· 3 shared S. O. Petrovan· 3 shared B. Dalsgaard· 2 shared

Activity by Year

2018-2022 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 32 mutual co-author links

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7 shared papersEcology

W. J. Sutherland

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11 papers

Recent·Most cited

Rapid monitoring for ecological persistence

C. Song, B. I. Simmons, M.-J. Fortin, A. Gonzalez, C. N. Kaiser-Bunbury, S. Saavedra

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

bioRxiv · Jul 2, 2022Ecology

Niche and neutral processes leave distinct structural imprints on indirect interactions in mutualistic networks

B. I. Simmons, A. P. Beckerman, K. Hansen, P. K. Maruyama, C. Televantos, J. Vizentin-Bugoni, B. Dalsgaard

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

bioRxiv · Apr 30, 2020Ecology

maxnodf: an R package for fair and fast comparisons of nestedness between networks

C. Hoeppke, B. I. Simmons

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

bioRxiv · Mar 20, 2020Ecology

Poor availability of context-specific evidence hampers decision-making in conservation

A. P. Christie, T. Amano, P. A. Martin, S. O. Petrovan, G. E. Shackelford, B. I. Simmons, R. K. Smith, D. R. Williams, C. F. R. Wordley, W. J. Sutherland

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

bioRxiv · Feb 13, 2020Ecology

Insights from two decades of the Student Conference on Conservation Science

J. Geldmann, H. Alves-Pinto, T. Amano, H. Bartlett, A. P. Christie, L. Collas, S. C. Cooke, R. Correa, I. Cripps, A. Doherty, T. Finch, E. E. Garnett, F. Hua, J. P. G. Jones, T. Kasoar, , A. Balmford

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.

bioRxiv · Oct 30, 2019Ecology

The challenge of heterogeneous evidence in conservation

A. P. Christie, T. Amano, P. A. Martin, S. O. Petrovan, G. E. Shackelford, B. I. Simmons, R. K. Smith, D. R. Williams, C. F. R. Wordley, W. J. Sutherland

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

bioRxiv · Oct 9, 2019Ecology

Simple study designs in ecology produce inaccurate estimates of biodiversity responses

Christie, T. Amano, P. A. Martin, G. E. Shackelford, B. I. Simmons, W. J. Sutherland

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.

bioRxiv · Apr 25, 2019Ecology

Vulnerable species interactions are important for the stability of mutualistic networks

B. I. Simmons, H. S. Wauchope, T. Amano, L. V. Dicks, W. J. Sutherland, V. Dakos

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.

bioRxiv · Apr 10, 2019 · PreprintEcology

bmotif: a package for motif analyses of bipartite networks

B. I. Simmons, M. J. M. Sweering, M. Schillinger, L. V. Dicks, W. J. Sutherland, R. Di Clemente

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

bioRxiv · Nov 20, 2018Ecology

Abundance drives broad patterns of generalisation in plant-hummingbird pollination networks

B. I. Simmons, J. Vizentin-Bugoni, P. K. Maruyama, P. A. Cotton, O. H. Marin-Gomez, C. Lara, L. R. Lasprilla, M. A. Maglianesi, R. Ortiz-Pulido, M. A. Rocca, L. C. Rodrigues, B. Tinoco, M. F. Vasconcelos, M. Sazima, A. M. Martin Gonzalez, , W. J. Sutherland

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.

bioRxiv · Nov 8, 2018Ecology

Uncovering indirect interactions in bipartite ecological networks

B. I. Simmons, A. Cirtwill, N. Baker, L. V. Dicks, D. B. Stouffer, W. J. Sutherland

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.

bioRxiv · May 4, 2018Ecology