Evidence map›Paper›PMID 41832148›Full record

ArticleNature communications2026

Joint control of precipitation and CO

Songbo Tang, Yang Qiao, Jianyang Xia, Erqian Cui

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. 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

4 authors.

Songbo TangResearch Center for Global Change and Ecological Forecasting, Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, School of Ecological and Environmental Sciences, Institute of Eco-Chongming, East China Normal University, Shanghai, 200241, China.
Yang QiaoResearch Center for Global Change and Ecological Forecasting, Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, School of Ecological and Environmental Sciences, Institute of Eco-Chongming, East China Normal University, Shanghai, 200241, China.
Jianyang XiaResearch Center for Global Change and Ecological Forecasting, Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, School of Ecological and Environmental Sciences, Institute of Eco-Chongming, East China Normal University, Shanghai, 200241, China. jyxia@des.ecnu.edu.cn.ORCID http://orcid.org/0000-0001-5923-6665
Erqian CuiResearch Center for Global Change and Ecological Forecasting, Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, School of Ecological and Environmental Sciences, Institute of Eco-Chongming, East China Normal University, Shanghai, 200241, China. eqcui@des.ecnu.edu.cn.ORCID http://orcid.org/0000-0002-2639-5069

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32301387National Natural Science Foundation of China (National Science Foundation of China) 32325033National Natural Science Foundation of China (National Science Foundation of China) 42301066
6 · The paper itself

Abstract

Plant nitrogen availability critically limits plant growth and thus constrains terrestrial carbon sequestration. Growing evidence points to a recent decline in plant nitrogen availability, yet the global consistency of this trend and its underlying drivers remain unclear. Here, we reconstruct the spatiotemporal trajectory of plant nitrogen availability (1980-2020) using four machine-learning algorithms applied to a global database of 37,268 foliar stable nitrogen isotopes measurements and ancillary climate data. We first find high spatial heterogeneity in foliar stable nitrogen isotopes, primarily linked to mean annual temperature. Then, we discover that foliar stable nitrogen isotopes declined primarily during the 1980s, and subsequently remained stable across 44% of land areas. Moreover, the dominant driver in temporal variations of foliar stable nitrogen isotopes shifts from CO

Indexed as

Carbon DioxideNitrogenPlantsRainCarbon SequestrationClimateNitrogen CycleNitrogen IsotopesPlant LeavesTemperatureCarbon DioxideNitrogenNitrogen Isotopes

Identifiers

PMID41832148
PMCPMC13133386

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.