Evidence map›Paper›PMID 41986370›Full record

ArticleNature communications2026

Dew formation is associated with higher ecosystem productivity across diverse ecosystems.

Mengyun Sun, Wenzhe Jiao, Cynthia Gerlein-Safdi, Max Berkelhammer, Lixin Wang

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

5 authors.

Mengyun SunDepartment of Earth and Environmental Sciences, Indiana University Indianapolis, Indianapolis, USA.ORCID http://orcid.org/0009-0003-6086-1873
Wenzhe JiaoDepartment of Ecology and Conservation Biology, Texas A&M University, College Station, USA.
Cynthia Gerlein-SafdiDepartment of Civil and Environmental Engineering, University of California Berkeley, Berkeley, USA.ORCID http://orcid.org/0000-0001-8160-6167
Max BerkelhammerDepartment of Earth and Environmental Sciences, University of Illinois Chicago, Chicago, USA.ORCID http://orcid.org/0000-0002-8924-716X
Lixin WangDepartment of Earth and Environmental Sciences, Indiana University Indianapolis, Indianapolis, USA. lxwang@iu.edu.ORCID http://orcid.org/0000-0003-0968-1247

Funding

National Science Foundation (NSF) DEB-2307257
6 · The paper itself

Abstract

Dew is a common yet often overlooked water input in terrestrial ecosystems. Current dew research is constrained to a limited number of leaf-level field measurements, leaving a key knowledge gap in how dew affects vegetation productivity at the ecosystem scale. Using eddy covariance data from the National Ecological Observatory Network from 2017 to 2022, we quantify characteristics of dew formation in the U.S. and examine their impacts on vegetation gross primary productivity across two focal ecosystem types (grasslands and forests) and climatic regions (i.e., drylands and non-drylands). We find that dew formation is significantly associated with higher gross primary productivity across grasslands, forests, drylands, and non-drylands, highlighting the ecological contribution of dew to ecosystem productivity. Although its contribution is smaller than that of major climatic predictors, higher gross primary productivity is more pronounced with longer dew duration, particularly in grasslands and drylands. Our findings demonstrate that dew plays a significant role in shaping ecosystem carbon dynamics, particularly in drylands, and is likely to have broad implications for future carbon-water feedback in a changing climate.

Indexed as

EcosystemWaterBiomassCarbon CycleClimateClimate ChangeForestsGrasslandUnited StatesWater

Identifiers

PMID41986370
PMCPMC13260897

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.