ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2024
Ecological associations distribution modelling of marine plankton at a global scale.
Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Biogeographical Regions and Climate Change: Lanternfishes Shed Light on the Role of Climatic Barriers in the Southern Ocean.Global change biology · 2025Article
- Ecological associations distribution modelling of marine plankton at a global scale.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
- Connected interactions: enriching food web research by spatial and social interactions.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Marine plankton communities form intricate networks of interacting organisms at the base of the food chain, and play a central role in regulating ocean biogeochemical cycles and climate. However, predicting plankton community shifts in response to climate change remains challenging. While species distribution models are valuable tools for predicting changes in species biogeography under climate change scenarios, they generally overlook the key role of biotic interactions, which can significantly shape ecological processes and ecosystem responses. Here, we introduce a novel statistical framework, association distribution modelling (ADM), designed to model and predict ecological associations distribution in space and time. Applied on a
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Registered trials
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