The Eltonian shortfall

Data on species interactions is scarce. But why? Is it scarce everywhere in the same way? What can we do about it? We work on these questions by documenting gaps in the data, and by providing tools to deal with our data more effectively.

Synthetic Datasets and Community Tools for the Rapid Testing of Ecological Hypotheses
2016 Text (via DOI)
T. Poisot D. Gravel S. Leroux S.A. Wood M.J. Fortin B. Baiser A.R. Cirtwill M.B. Araújo D.B. Stouffer
Mangal – Making Ecological Network Analysis Simple
2016 Text (via DOI)
T. Poisot B. Baiser J.A. Dunne S. Kéfi F. Massol N. Mouquet T.N. Romanuk D.B. Stouffer S.A. Wood D. Gravel
Linear Filtering Reveals False Negatives in Species Interaction Data
2017 Text (via DOI)
M. Stock T. Poisot W. Waegeman B. De Baets
Revealing Biases in the Sampling of Ecological Interaction Networks
2019 Text (via DOI)
M.A.M. Aguiar E.A. Newman M.M. Pires J.D. Yeakel C. Boettiger L.A. Burkle D. Gravel P.R. Guimarães J.L. O’Donnell T. Poisot M.J. Fortin D.H. Hembry
Global Knowledge Gaps in Species Interaction Networks Data
2021 Text (via DOI)
T. Poisot G. Bergeron K. Cazelles T. Dallas D. Gravel A. MacDonald B. Mercier C. Violet S. Vissault D. Chapman
The Missing Link: Discerning True From False Negatives When Sampling Species Interaction Networks
2023 Google Scholar
M.D. Catchen T. Poisot L.J. Pollock A. Gonzalez