Evidence map›Paper›PMID 39872477›Full record

ArticleInnovation (Cambridge (Mass.))2025

Climate effects of ecosystem change converge according to the ratio of the daytime to daily vapor flux.

Langqin Hua, Lin Li, Wenjing Chen, Xuemeng Wang, Xin Xiong, Guoyi Zhou

Abstract read
In one paragraph

Article in Innovation (Cambridge (Mass.)), 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

6 authors.

Langqin HuaInstitute of Ecology, School of Ecology and Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China.
Lin LiInstitute of Ecology, School of Ecology and Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China.
Wenjing ChenInstitute of Ecology, School of Ecology and Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China.
Xuemeng WangInstitute of Ecology, School of Ecology and Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China.
Xin XiongJiangxi Provincial Key Laboratory of Carbon Neutrality and Ecosystem Carbon Sink, Lushan Botanical Garden, Jiangxi Province and Chinese Academy of Sciences, Jiujiang 332900, China.
Guoyi ZhouInstitute of Ecology, School of Ecology and Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ecosystem changes can simultaneously generate various climate-related effects, such as evapotranspiration (vapor flux) effects, carbon-cycle effects, and surface temperature effects. These effects are coupled with one another because they are generated through the same biophysical and biogeochemical processes. Consequently, given an easily measurable effect, other effects can be predicted from the measured effect. Here, based on global eddy covariance (EC) observations, we show that the ratio of the daytime to daily vapor flux (RATIO) reflects the complexity of various ecosystem types and is highly coupled with climate effects of ecosystem changes. For the same daily RATIO, the magnitudes of the same EC variable remain unchanged across all of the ecosystems and, thus, EC observations for an ecosystem or place can be mapped to other ecosystems or places in accordance with their daily RATIO values. By applying the daily RATIO, the effects of ecosystem changes on the surface temperature in different climatic zones (including the Tibetan Plateau) can be predicted, which is highly consistent with all previous studies. We found that cooling or warming effects are controlled by the RATIO, not by enhanced or reduced evapotranspiration as many studies have suggested. This study provides a new and simple approach for evaluating the climate effects of ecosystem changes at all spatial-temporal scales worldwide.

Identifiers

PMID39872477
PMCPMC11763916

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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.