Evidence map›Paper›PMID 40229343›Full record

ArticleScientific reports2025

NDVI and vegetation volume as predictors of urban bird diversity.

Andrew J Fairbairn, Sophia Katholnigg, Tobias Leichtle, Lisa Merkens, Louis Schroll, Wolfgang W Weisser, Sebastian T Meyer

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

7 authors.

Andrew J FairbairnTerrestrial Ecology Research Group, Department of Life Science Systems, School of Life Sciences, Technical University of Munich, 85354, Freising, Germany. andrew.fairbairn@tum.de.ORCID http://orcid.org/0000-0002-2826-3465
Sophia KatholniggTerrestrial Ecology Research Group, Department of Life Science Systems, School of Life Sciences, Technical University of Munich, 85354, Freising, Germany.
Tobias LeichtleGerman Remote Sensing Data Center, German Aerospace Center, 82234, Oberpfaffenhofen, Germany.ORCID https://orcid.org/0000-0002-0852-4437
Lisa MerkensTerrestrial Ecology Research Group, Department of Life Science Systems, School of Life Sciences, Technical University of Munich, 85354, Freising, Germany.ORCID https://orcid.org/0009-0007-0079-134X
Louis SchrollTerrestrial Ecology Research Group, Department of Life Science Systems, School of Life Sciences, Technical University of Munich, 85354, Freising, Germany.
Wolfgang W WeisserTerrestrial Ecology Research Group, Department of Life Science Systems, School of Life Sciences, Technical University of Munich, 85354, Freising, Germany.
Sebastian T MeyerTerrestrial Ecology Research Group, Department of Life Science Systems, School of Life Sciences, Technical University of Munich, 85354, Freising, Germany.ORCID https://orcid.org/0000-0003-0833-1472

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urban expansion and densification pose a challenge to urban biodiversity. Rapid estimation of biodiversity could help urban planners balance development and conservation goals. While the Normalised Difference Vegetation Index (NDVI) has proven useful for predicting urban bird diversity, new products derived from remote sensing, such as vegetation volume, could provide more detailed descriptions of available habitat, potentially improving biodiversity predictions. We evaluated the effectiveness of NDVI and vegetation volume as predictors of urban bird diversity and local community composition for different buffers around 86 sampling points in Munich, Germany. Using linear models, we showed that a 100 m buffer best described bird diversity (highest R

Indexed as

BiodiversityBirdsAnimalsCitiesConservation of Natural ResourcesEcosystemGermanyUrbanizationBiodiversityNDVIRemote sensingUrban ecology

Identifiers

PMID40229343
PMCPMC11997212

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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.