Evidence map›Paper›PMID 26439311›Full record

ArticleEcology letters2015

From species distributions to meta-communities.

Wilfried Thuiller, Laura J Pollock, Maya Gueguen, Tamara Münkemüller

Abstract readLetter
In one paragraph

Article in Ecology letters, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Wilfried ThuillerUniversité Grenoble Alpes, Laboratoire d'Écologie Alpine (LECA), Grenoble, F-38000, France.
Laura J PollockUniversité Grenoble Alpes, Laboratoire d'Écologie Alpine (LECA), Grenoble, F-38000, France.
Maya GueguenUniversité Grenoble Alpes, Laboratoire d'Écologie Alpine (LECA), Grenoble, F-38000, France.
Tamara MünkemüllerUniversité Grenoble Alpes, Laboratoire d'Écologie Alpine (LECA), Grenoble, F-38000, France.

Funding

European Research Council 281422
6 · The paper itself

Abstract

The extent that biotic interactions and dispersal influence species ranges and diversity patterns across scales remains an open question. Answering this question requires framing an analysis on the frontier between species distribution modelling (SDM), which ignores biotic interactions and dispersal limitation, and community ecology, which provides specific predictions on community and meta-community structure and resulting diversity patterns such as species richness and functional diversity. Using both empirical and simulated datasets, we tested whether predicted occurrences from fine-resolution SDMs provide good estimates of community structure and diversity patterns at resolutions ranging from a resolution typical of studies within reserves (250 m) to that typical of a regional biodiversity study (5 km). For both datasets, we show that the imprint of biotic interactions and dispersal limitation quickly vanishes when spatial resolution is reduced, which demonstrates the value of SDMs for tracking the imprint of community assembly processes across scales.

Indexed as

Animal DistributionBiodiversityPlant DispersalModels, BiologicalPopulation DynamicsSpatial AnalysisAssembly rulesbiotic interactionsdispersaldiversity patternsspatial scalespecies distribution models

Identifiers

PMID26439311
PMCPMC4637989

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.