Evidence map›Paper›PMID 36620425›Full record

ArticleEcography2021

The spatial scaling of food web structure across European biogeographical regions.

Núria Galiana, Ceres Barros, João Braga, Gentile Francesco Ficetola, Luigi Maiorano, Wilfried Thuiller, José M Montoya, Miguel Lurgi

Abstract read
In one paragraph

Article in Ecography, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Mixed effects of protected areas on avian food webs.Proceedings. Biological sciences · 2025
    Article
  6. Spatially explicit predictions of food web structure from regional-level data.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  7. Article
  8. Article
  9. Article
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

8 authors.

Núria GalianaCentre for Biodiversity Modelling and Theory, Theoretical and Experimental Ecology Station, CNRS and Paul Sabatier Univ., Moulis, France.ORCID https://orcid.org/0000-0001-7720-0615
Ceres BarrosUniv. Grenoble Alpes, CNRS, LECA (Laboratoire d'Écologie Alpine), Grenoble, France; Dept of Forest Resources Management, Faculty of Forestry, Univ. of British Columbia, Vancouver, BC, Canada.ORCID https://orcid.org/0000-0003-4036-977X
João BragaUniv. Grenoble Alpes, CNRS, LECA (Laboratoire d'Écologie Alpine), Grenoble, France.ORCID https://orcid.org/0000-0003-4153-8475
Gentile Francesco FicetolaUniv. Grenoble Alpes, CNRS, LECA (Laboratoire d'Écologie Alpine), Grenoble, France; Dept of Environmental Sciences and Policy, Univ. degli Studi di Milano, Via Celoria.ORCID https://orcid.org/0000-0003-3414-5155
Luigi MaioranoDept of Biology and Biotechnologies 'Charles Darwin', Univ. di Roma 'La Sapienza', Roma, Italia.ORCID https://orcid.org/0000-0002-2957-8979
Wilfried ThuillerUniv. Grenoble Alpes, CNRS, LECA (Laboratoire d'Écologie Alpine), Grenoble, France.ORCID https://orcid.org/0000-0002-5388-5274
José M MontoyaCentre for Biodiversity Modelling and Theory, Theoretical and Experimental Ecology Station, CNRS and Paul Sabatier Univ., Moulis, France.ORCID https://orcid.org/0000-0002-6676-7592
Miguel LurgiCentre for Biodiversity Modelling and Theory, Theoretical and Experimental Ecology Station, CNRS and Paul Sabatier Univ., Moulis, France; Dept of Biosciences, Swansea Univ., Swansea, UK.

Funding

European Research Council 726176
6 · The paper itself

Abstract

The species-area relationship (SAR) is one of the most well-established scaling patterns in ecology. Its implications for understanding how communities change across spatial gradients are numerous, including the effects of habitat loss on biodiversity. However, ecological communities are not mere collections of species. They are the result of interactions between these species forming complex networks that tie them together. Should we aim to grasp the spatial scaling of biodiversity as a whole, it is fundamental to understand the changes in the structure of interaction networks with area. In spite of a few empirical and theoretical studies that address this challenge, we still do not know much about how network structure changes with area, or what are the main environmental drivers of these changes. Here, using the meta-network of potential interactions between all terrestrial vertebrates in Europe (1140 species and 67 201 feeding interactions), we analysed network-area relationships (NARs) that summarize how network properties scale with area. We do this across ten biogeographical regions, which differ in environmental characteristics. We found that the spatial scaling of network complexity strongly varied across biogeographical regions. However, once the variation in SARs was accounted for, differences in the shape of NARs vanished. On the other hand, the proportion of species across trophic levels remained remarkably constant across biogeographical regions and spatial scales, despite the great variation in species richness. Spatial variation in mean annual temperature and habitat clustering were the main environmental determinants of the shape of both SARs and NARs across Europe. Our results suggest new avenues in the exploration of the effects of environmental factors on the spatial scaling of biodiversity. We argue that NARs can provide new insights to analyse and understand ecological communities.

Indexed as

food websgeographical variationmetawebnetwork–area relationshipspatial scalespecies–area relationshipterrestrial vertebrate communities

Identifiers

PMID36620425
PMCPMC7614028

What OpenQuestion holds

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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.