Evidence map›Paper›PMID 41539999›Full record

ArticleNature communications2026

Distance-decay reveals contrasting effects of land-use types on arthropod community homogenisation.

Orsi Decker, Johannes Uhler, Sarah Redlich, Anne Chao, Mareike Kortmann, Ingolf Steffan-Dewenter, Cynthia Tobisch, Jörg Ewald, Jana Englmeier, Ute Fricke and 6 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

16 authors.

Orsi DeckerBavarian Forest National Park, Grafenau, Germany. Orsolya.Decker@npv-bw.bayern.de.ORCID http://orcid.org/0000-0002-6280-697X
Johannes UhlerConservation Biology and Forest Ecology, Biocenter, University of Würzburg, Rauhenebrach, Germany.
Sarah RedlichDepartment of Animal Ecology and Tropical Biology, Biocenter, Julius-Maximilians-Universität Würzburg, Würzburg, Germany.ORCID http://orcid.org/0000-0001-5609-0576
Anne ChaoInstitute of Statistics, National Tsing Hua University, Hsin-Chu, Taiwan, ROC.
Mareike KortmannConservation Biology and Forest Ecology, Biocenter, University of Würzburg, Rauhenebrach, Germany.ORCID http://orcid.org/0000-0003-4210-5276
Ingolf Steffan-DewenterDepartment of Animal Ecology and Tropical Biology, Biocenter, Julius-Maximilians-Universität Würzburg, Würzburg, Germany.ORCID http://orcid.org/0000-0003-1359-3944
Cynthia TobischDepartment of Animal Ecology and Tropical Biology, Biocenter, Julius-Maximilians-Universität Würzburg, Würzburg, Germany.ORCID http://orcid.org/0000-0002-2039-1462
Jörg EwaldInstitute for Ecology and Landscape, University of Applied Sciences Weihenstephan-Triesdorf, Freising, Germany.ORCID http://orcid.org/0000-0002-2758-9324
Jana EnglmeierConservation Biology and Forest Ecology, Biocenter, University of Würzburg, Rauhenebrach, Germany.
Ute FrickeDepartment of Animal Ecology and Tropical Biology, Biocenter, Julius-Maximilians-Universität Würzburg, Würzburg, Germany.ORCID http://orcid.org/0000-0002-5284-4518
Cristina GanuzaDepartment of Animal Ecology and Tropical Biology, Biocenter, Julius-Maximilians-Universität Würzburg, Würzburg, Germany.ORCID http://orcid.org/0000-0002-4197-1829
Maria HaenselProfessorship of Ecological Services, Bayreuth Center of Ecology and Environmental Research (BayCEER), University of Bayreuth, Bayreuth, Germany.ORCID http://orcid.org/0000-0003-4530-8968
Vedran BozicevicAdvanced Identification Methods GmbH (AIM), Leipzig, Germany.
Jérôme MorinièreAdvanced Identification Methods GmbH (AIM), Leipzig, Germany.
Jie ZhangDepartment of Animal Ecology and Tropical Biology, Biocenter, Julius-Maximilians-Universität Würzburg, Würzburg, Germany.ORCID http://orcid.org/0000-0003-2599-5983
Jörg MüllerBavarian Forest National Park, Grafenau, Germany. joerg.mueller@uni-wuerzburg.de.ORCID http://orcid.org/0000-0002-1409-1586

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Homogenisation caused by intensive land-use is one of the drivers of global biodiversity decline. However, the contribution of land-use intensity to insect diversity loss is still largely untested. Therefore, we compare the rate of species homogenisation of ~12.000 arthropod species (using Barcode Index Numbers) from 450 families, using distance-decay relationships. We study communities along an increasing local land-use intensity gradient from forests to managed grasslands, to arable lands and to settlements situated within near-natural, agricultural, and urban regional landscapes. Our approach for incidence data under consideration of incomplete samples identifies that grasslands harbour the most homogenous communities after taking frequency and species traits into account. In contrast, the most modified land-use types, settlements, and arable lands do not differ from forests, and showed the most heterogeneous communities between locations. Large- and low-mobility species communities are the most heterogeneous in space, but patterns are dependent on local land-use. Regional landscapes modify the community response to local land-use types: near-natural landscapes reduce homogenisation, while agricultural landscapes increase homogenisation. Based on our findings we recommend enhanced conservation efforts particularly in managed grasslands to reverse homogenisation, while settlements and arable lands could be considered more in arthropod community heterogenisation.

Indexed as

ArthropodsBiodiversityAgricultureAnimalsConservation of Natural ResourcesEcosystemForestsGrassland

Identifiers

PMID41539999
PMCPMC12820165

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.