ArticleEcology letters2017
Linking macroecology and community ecology: refining predictions of species distributions using biotic interaction networks.
Article in Ecology letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- The development of high-density aggregation spatial distribution patterns under high stress.Frontiers in plant science · 2026Article
- Article
- Deciphering Probabilistic Species Interaction Networks.Ecology letters · 2025Review
- Bayesian networks for network inference in biology.Journal of the Royal Society, Interface · 2025Review
- Using Community Composition and Successional Theory to Guide Site-Specific Coral Reef Management.Global change biology · 2025Article
- Data fusion and integrated species distribution models for three endangered ferns (Frontiers in plant science · 2025Article
- Integrating databases for spatial analysis of parasite-host associations and the novel Brazilian dataset.Scientific data · 2023Article
- The role of intra-guild indirect interactions in assembling plant-pollinator networks.Nature communications · 2023Article
- Potential decline in the distribution and food provisioning services of the mopane wormFrontiers of biogeography · 2023Article
- A roadmap towards predicting species interaction networks (across space and time).Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021Review
- Microclimate and resource quality determine resource use in a range-expanding herbivore.Biology letters · 2021Article
- Effects of climate variation on bird escape distances modulate community responses to global change.Scientific reports · 2021Article
- Greater topoclimatic control of above- versus below-ground communities.Global change biology · 2020Article
- Distribution and conservation of species is misestimated if biotic interactions are ignored: the case of the orchid Laelia speciosa.Scientific reports · 2020Article
- Predictor species: Improving assessments of rare species occurrence by modeling environmental co-responses.Ecology and evolution · 2020Article
- Climate shapes mammal community trophic structures and humans simplify them.Nature communications · 2019Article
- Biological and environmental drivers of trophic ecology in marine fishes - a global perspective.Scientific reports · 2019Article
- Micro- or macroscale? Which one best predicts the establishment of an endemic Atlantic Forest palm?Ecology and evolution · 2019Article
- Mutualistic interactions reshuffle the effects of climate change on plants across the tree of life.Science advances · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Macroecological models for predicting species distributions usually only include abiotic environmental conditions as explanatory variables, despite knowledge from community ecology that all species are linked to other species through biotic interactions. This disconnect is largely due to the different spatial scales considered by the two sub-disciplines: macroecologists study patterns at large extents and coarse resolutions, while community ecologists focus on small extents and fine resolutions. A general framework for including biotic interactions in macroecological models would help bridge this divide, as it would allow for rigorous testing of the role that biotic interactions play in determining species ranges. Here, we present an approach that combines species distribution models with Bayesian networks, which enables the direct and indirect effects of biotic interactions to be modelled as propagating conditional dependencies among species' presences. We show that including biotic interactions in distribution models for species from a California grassland community results in better range predictions across the western USA. This new approach will be important for improving estimates of species distributions and their dynamics under environmental change.
Indexed as
Identifiers
What OpenQuestion holds
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.