Evidence map›Paper›PMID 32866994›Full record

ArticleGlobal change biology2020

Greater topoclimatic control of above- versus below-ground communities.

Heidi K Mod, Daniel Scherrer, Valeria Di Cola, Olivier Broennimann, Quentin Blandenier, Frank T Breiner, Aline Buri, Jérôme Goudet, Nicolas Guex, Enrique Lara and 13 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Global change biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
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

6 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Biodiversity in mountain soils above the treeline.Biological reviews of the Cambridge Philosophical Society · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. 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

23 authors at 12 institutions in 5 countries.

Heidi K ModDepartment of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0001-7800-2688
Daniel ScherrerDepartment of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0001-9983-7510
Valeria Di ColaDepartment of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0003-2925-8366
Olivier BroennimannDepartment of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0001-9913-3695
Quentin BlandenierLaboratory of Soil Biodiversity, Institute of Biology, University of Neuchâtel, Neuchâtel, Switzerland.ORCID https://orcid.org/0000-0002-4297-0262
Frank T BreinerDepartment of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.
Aline BuriInstitute of Earth Surface Dynamics, University of Lausanne, Lausanne, Switzerland.
Jérôme GoudetDepartment of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-5318-7601
Nicolas GuexBioinformatics Competence Center, University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0001-6023-0519
Enrique LaraReal Jardín Botánico, CSIC, Madrid, Spain.ORCID https://orcid.org/0000-0001-8500-522X
Edward A D MitchellLaboratory of Soil Biodiversity, Institute of Biology, University of Neuchâtel, Neuchâtel, Switzerland.ORCID https://orcid.org/0000-0003-0358-506X
Hélène Niculita-HirzelDepartment of Occupational Health and Environment, Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0003-1467-8819
Marco PagniVital-IT Group, Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Loïc PellissierSwiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland.
Eric Pinto-FigueroaTerrabiom, Lausanne, Switzerland.
Ian R SandersDepartment of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-9591-8214
Benedikt R SchmidtInfo Fauna Karch, Neuchâtel, Switzerland.ORCID https://orcid.org/0000-0002-4023-1001
Christophe V W SeppeyDepartment of Arctic and Marine Biology, University of Tromsø, Tromsø, Norway.
David SingerLaboratory of Soil Biodiversity, Institute of Biology, University of Neuchâtel, Neuchâtel, Switzerland.ORCID https://orcid.org/0000-0002-4116-033X
Sylvain UrsenbacherInfo Fauna Karch, Neuchâtel, Switzerland.ORCID https://orcid.org/0000-0001-5093-6403
Erika YashiroDepartment of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-2364-9908
Jan R van der MeerDepartment of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland.
Antoine GuisanDepartment of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-3998-4815
University of Lausanne · CHSIB Swiss Institute of Bioinformatics · CHReal Jardín Botánico · ESSwiss Federal Institute for Forest, Snow and Landscape Research · CHCentre universitaire de médecine générale et santé publique, Lausanne · CHTerre des Hommes · CHUiT The Arctic University of Norway · NOUniversidade de São Paulo · BRUniversity of Basel · CHUniversity of Helsinki · FIUniversity of Neuchâtel · CHUniversity of Zurich · CH

Funding

Community of Madrid 2017-T1/AMB-5210Norges Forskningsråd 256132Norges Forskningsråd 270252Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 31003A-1528661Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 31003A_163254Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 315230_184908Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung P2NEP3_178543
6 · The paper itself

Abstract

Assessing the degree to which climate explains the spatial distributions of different taxonomic and functional groups is essential for anticipating the effects of climate change on ecosystems. Most effort so far has focused on above-ground organisms, which offer only a partial view on the response of biodiversity to environmental gradients. Here including both above- and below-ground organisms, we quantified the degree of topoclimatic control on the occurrence patterns of >1,500 taxa and phylotypes along a c. 3,000 m elevation gradient, by fitting species distribution models. Higher model performances for animals and plants than for soil microbes (fungi, bacteria and protists) suggest that the direct influence of topoclimate is stronger on above-ground species than on below-ground microorganisms. Accordingly, direct climate change effects are predicted to be stronger for above-ground than for below-ground taxa, whereas factors expressing local soil microclimate and geochemistry are likely more important to explain and forecast the occurrence patterns of soil microbiota. Detailed mapping and future scenarios of soil microclimate and microhabitats, together with comparative studies of interacting and ecologically dependent above- and below-ground biota, are thus needed to understand and realistically forecast the future distribution of ecosystems.

Indexed as

BiodiversityEcosystemAnimalsClimate ChangeMicroclimateSoilSoil MicrobiologySoilanimalsclimate changeecosystemsmicroorganismsniche modelplantsspecies distributionstaxonomic group

Identifiers

PMID32866994
PMCPMC7756268
OpenAlexW3082188616

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.