ArticleEcology and evolution2021
Productivity, niche availability, species richness, and extinction risk: Untangling relationships using individual-based simulations.
Article in Ecology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Catchment Productivity Controls Local Species Richness of Hyporheic Invertebrate Communities in Tropical New Caledonia Streams.Ecology and evolution · 2025Article
- Environmental microbiome diversity and stability is a barrier to antimicrobial resistance gene accumulation.Communications biology · 2024Article
- Educational cooperation in the perspective of tripartite evolutionary game among government, enterprises and universities.PloS one · 2024Article
- Niche-mediated bacterial community composition in continental glacier alluvial valleys under cold and arid environments.Frontiers in microbiology · 2023Article
- Environmental variables influence patterns of mammal co-occurrence following introduced predator control.PloS one · 2023Article
- Different contributions of plant diversity and soil properties to the community stability in the arid desert ecosystem.Frontiers in plant science · 2022Article
- Comparison of assembly process and co-occurrence pattern between planktonic and benthic microbial communities in the Bohai Sea.Frontiers in microbiology · 2022Article
- Productivity, niche availability, species richness, and extinction risk: Untangling relationships using individual-based simulations.Ecology and evolution · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It has often been suggested that the productivity of an ecosystem affects the number of species that it can support. Despite decades of study, the nature, extent, and underlying mechanisms of this relationship are unclear. One suggested mechanism is the "more individuals" hypothesis (MIH). This proposes that productivity controls the number of individuals in the ecosystem, and that more individuals can be divided into a greater number of species before their population size is sufficiently small for each to be at substantial risk of extinction. Here, we test this hypothesis using REvoSim: an individual-based eco-evolutionary system that simulates the evolution and speciation of populations over geological time, allowing phenomena occurring over timescales that cannot be easily observed in the real world to be evaluated. The individual-based nature of this system allows us to remove assumptions about the nature of speciation and extinction that previous models have had to make. Many of the predictions of the MIH are supported in our simulations: Rare species are more likely to undergo extinction than common species, and species richness scales with productivity. However, we also find support for relationships that contradict the predictions of the
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