Cited by 61Mathematical and Theoretical Epidemiology and Ecology ModelsEcology and Vegetation Dynamics StudiesEcosystem dynamics and resilience

Inferring species interaction networks from species abundance data: A comparative evaluation of various statistical and machine learning methods

Faisal, Ali, Dondelinger, Frank, Husmeier, Dirk, Beale, Colin M.·2010·Ecological Informatics

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Crossref · 10.1016/j.ecoinf.2010.06.005

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92 of 92 references verified0 citation errors · 0 not checkable

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  • Graph regression techniques were deployed to reconstruct species interaction networks in a community of European birds with promising results, including better causality estimates of the relations in the graph.

    “More recently, graph regression techniques were deployed to reconstruct species interaction networks in a community of European birds with promising results, including better causality estimates of the relations in the graph131.”

    From Perspectives in machine learning for wildlife conservation (2022) · cites this paper as [131]

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Authors
Faisal, A., Dondelinger, F., Husmeier, D., & Beale, C. M.
Affiliations
  • Helsinki Institute for Information Technology (FI)
  • Biomathematics and Statistics Scotland (GB)
Corresponding author
Dondelinger, Frank
Venue
Ecological Informatics
Publisher
Elsevier BV
Published
2010-11
Volume
5
Issue
6
Pages
451-464
ISSN
1574-9541 (ISSN-L)
OpenAlex
W1992864385
Cited by
61
References
92
Citations by year
2026: 1 · 2025: 6 · 2024: 3 · 2023: 6 · 2022: 6 · 2021: 5 · 2020: 5 · 2019: 5 · 2018: 2 · 2017: 4 · 2016: 4 · 2015: 5 · 2013: 2 · 2012: 4
FWCI
2.87
Type
journal article
Language
en
Open access
closed
Locations
  • Ecological Informatics (publishedVersion)
  • ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (acceptedVersion)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Mathematical and Theoretical Epidemiology and Ecology Models
  • Physical Sciences › Environmental Science › Nature and Landscape Conservation › Ecology and Vegetation Dynamics Studies
  • Physical Sciences › Environmental Science › Global and Planetary Change › Ecosystem dynamics and resilience
Keywords
species interaction networks, network inference, species abundance data, food webs, Gaussian graphical models, LASSO, sparse Bayesian regression, Bayesian networks, phylogenetic relatedness, spatial autocorrelation, niche models, stochastic population models

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