Evidence map›Paper›PMID 41626629›Full record

ArticleISME communications2026

The biogeography of soil and airborne fungi in the Southwestern USA in relation to climate and vegetation.

Linh Anh Cat, Morgan E Gorris, James T Randerson, Stephanie N Kivlin, Kathleen K Treseder

Abstract read
In one paragraph

Article in ISME communications, 2026. 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

5 authors.

Linh Anh CatNational Park Service, Kalaupapa National Historic Park, Honolulu, HI 96850, United States.
Morgan E GorrisLos Alamos National Laboratory, Information Systems and Modeling Group (A-1), Los Alamos, NM 87545, United States.ORCID https://orcid.org/0000-0003-3949-4274
James T RandersonDepartment of Earth System Science, University of California, Irvine 92697, United States.ORCID https://orcid.org/0000-0001-6559-7387
Stephanie N KivlinDepartment of Ecology and Evolutionary Biology, University of Tennessee Knoxville, Knoxville, TN 37996, United States.ORCID https://orcid.org/0000-0003-2442-7773
Kathleen K TresederDepartment of Ecology and Evolutionary Biology, University of California, Irvine, CA 92697, United States.ORCID https://orcid.org/0000-0003-2847-6935

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To assess how fungal dispersal might respond to climate change, we examined how climate and geography influence the regional distribution of fungi in soil and air. Specifically, we hypothesized that neighboring fungal communities should be more similar than distant communities (i.e. spatially autocorrelated) and that fungal dispersal should be more limited in soil than in air. We collected soil and air samples from 60 sites across five states in the Southwestern USA. Then, we sequenced the ITS2 region to identify fungal taxa in each sample. Next, we used distance-based redundancy analysis to partition variation in fungal community composition between climate variables and spatial structure. Fungi were indeed spatially autocorrelated. Moreover, precipitation, maximum vapor pressure deficit, and soil moisture were significantly related to fungal community composition in soils. In comparison, only precipitation was significantly related to community composition in the air. After accounting for climate, the strength of spatial autocorrelation did not differ significantly in soilborne versus airborne fungi. Dispersal limitation was evident in soilborne fungi at short distances (<100 km) and was not observed at any distance in airborne fungi. Altogether, climate may influence which fungal taxa are present in soil and air, and fungi could feasibly wind disperse over regional scales.

Indexed as

dispersaldistance-based redundancy analysisdistance–decay relationshipsfungal community compositionprecipitationspatial autocorrelation

Identifiers

PMID41626629
PMCPMC12855156

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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.