Inferring species interaction networks from species abundance data: A comparative evaluation of various statistical and machine learning methods
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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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Perspectives in machine learning for wildlife conservation
Tuia, D., Kellenberger, B., Beery, S., Costelloe, B. R., Zuffi, S., Risse, B., Mathis, A., Mathis, M. W., van Langevelde, F., Burghardt, T., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-27980-y · Cited by 740 · see citing works
- 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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