Evidence map›Paper›PMID 40596875›Full record

ArticleBMC ecology and evolution2025

The influence of native shrub density on bird communities in the southern drylands of California, USA.

Zoë Hillier-Weltman, C J Lortie, Mario Zuliani

Abstract read
In one paragraph

Article in BMC ecology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Zoë Hillier-WeltmanDepartment of Biological Science, York University, 4700 Keele St, Toronto, ON, M3J 1P3, Canada.
C J LortieDepartment of Biological Science, York University, 4700 Keele St, Toronto, ON, M3J 1P3, Canada.
Mario ZulianiDepartment of Biological Science, York University, 4700 Keele St, Toronto, ON, M3J 1P3, Canada. zulianimario96@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interactions between key landscape features in desert ecosystems such as shrubs and other foundation plants can influence avian community assembly. Bird species often use resources and microhabitats provided by these shrubs for food, perching sites, and as thermal refuges. Citizen science data are broadly accessible and can be used to examine fine-scale avian distribution. Coupling this accessible data with key factors, such as native shrubs, can be used for conservation practices. eBird data offers the opportunity to examine avian communities across regional ecological gradients. Using eBird, we tested the hypothesis that shrub density and relative differences in aridity among sites within this region shape the structure of bird communities throughout Central California drylands. Shrub density positively influenced the observation rates of avian communities sampled. Decreasing aridity increased the positive associations of birds with shrubs. Citizen science data such as eBird offers promise for testing predictions at fine spatial scales, and further research can explore availability and reporting of data for other regions - particularly in drylands subject to substantial pressures from climate change globally. Simple landscape features in drylands, such as native shrub density and cover, offer a viable path forward for avian community conservation and potential habitat restoration in drylands in the face of a changing climate and increasing desertification.

Indexed as

BirdsEcosystemAnimalsBiodiversityCaliforniaConservation of Natural ResourcesDesert ClimatePopulation DensityBirdsCitizen scienceDensityDrylandFoundation speciesShrubs

Identifiers

PMID40596875
PMCPMC12211375

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.