ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2024
Landscape configuration can flip species-area relationships in dynamic meta-food-webs.
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 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
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Who cites it
7 citing papers in PubMed.
- A Mechanism of Food-Web Complexity Emergence Under Multiple Environmental Drivers.Ecology and evolution · 2026Article
- Herbivory Modifies the Role of Spatial Processes in a Grassland Plant Metacommunity.Ecology letters · 2025Article
- The Roles of Space and Food-Web Complexity in Mediating Ecological Recovery.Ecology letters · 2025Article
- Microbiome spatial scaling varies among members, hosts, and environments across model island ecosystems.The ISME journal · 2025Article
- Landscape configuration can flip species-area relationships in dynamic meta-food-webs.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
- Evolutionary ecology of dispersal in biodiverse spatially structured systems: what is old and what is new?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Review
- Species interactions and eco-evolutionary dynamics of dispersal: the diversity dependence of dispersal.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Review
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Spatial and trophic processes profoundly influence biodiversity, yet ecological theories often treat them independently. The theory of island biogeography and related theories on metacommunities predict higher species richness with increasing area across islands or habitat patches. In contrast, food-web theory explores the effects of traits and network structure on coexistence within local communities. Exploring the mechanisms by which landscape configurations interact with food-web dynamics in shaping metacommunities is important for our understanding of biodiversity. Here, we use a meta-food-web model to explore the role of landscape configuration in determining species richness and show that when habitat patches are interconnected by dispersal, more species can persist on smaller islands than predicted by classical theory. When patch sizes are spatially aggregated, this effect flattens the slope of the species-area relationship. Surprisingly, when landscapes have random patch-size distributions, the slope of the species-area relationships can even flip and become negative. This could be explained by higher biomass densities of lower trophic levels that then support species occupying higher trophic levels, which only persist on small and well-connected patches. This highlights the importance of simultaneously considering landscape configuration and local food-web dynamics to understand drivers of species-area relationships in metacommunities.This article is part of the theme issue 'Diversity-dependence of dispersal: interspecific interactions determine spatial dynamics'.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.