Evidence map›Paper›PMID 41353235›Full record

SynthesisNature communications2025

Divergent resource limitations of belowground versus aboveground productivity across grasslands.

Tingting Li, Ruiyang Zhang, Xinli Chen, Yiheng Wang, Yuanyuan Huang, Zheng Fu, Kailiang Yu, Chaoyang Wu, Yicheng He, Jinsong Wang and 2 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
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

12 authors.

Tingting Li *Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Ruiyang Zhang *Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Xinli ChenState Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, China.
Yiheng WangKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Yuanyuan HuangKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Zheng FuKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0001-7627-8824
Kailiang YuKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Chaoyang WuKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0001-6163-8209
Yicheng HeCollege of Grassland Science and Technology, China Agricultural University, Beijing, China.
Jinsong WangKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0002-3425-7387
Shuli NiuKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China. sniu@igsnrr.ac.cn.ORCID http://orcid.org/0000-0002-2394-2864
Dashuan TianKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China. tiands@igsnrr.ac.cn.ORCID http://orcid.org/0000-0001-8023-1180

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32322055National Natural Science Foundation of China (National Science Foundation of China) 32588202Youth Innovation Promotion Association of the Chinese Academy of Sciences (Youth Innovation Promotion Association CAS) 2021050
6 · The paper itself

Abstract

Water and nutrients are fundamental resources that constrain grassland productivity. Despite significant advances in our understanding of aboveground resource limitations, it remains unresolved whether these insights can be applied to belowground productivity. Here, by combining meta-analyses of 387 nitrogen (N) and 299 phosphorus (P) addition experiments with our long-term experiment in grasslands, we find that, globally, belowground productivity experiences peak N limitation under intermediate precipitation, despite N limitation on aboveground productivity intensifying with increasing precipitation. Moreover, this global pattern of belowground N limitation is mirrored in temporal dynamics. These consistent patterns suggest that belowground N limitation relies strongly and nonlinearly on spatial and temporal water variability. As grassland roots primarily function to capture water, this peak N limitation may reflect a maximal co-limitation of N and water for grassland plants under intermediate water conditions, which is also evidenced by our long-term experiment. Overall, this study highlights the divergent resource limitations of belowground versus aboveground productivity. Future changes in precipitation could significantly modify the patterns of belowground nutrient limitations, ultimately affecting grassland productivity and multifunctionality.

Indexed as

GrasslandPoaceaeBiomassEcosystemNitrogenPhosphorusPlant RootsRainSoilWaterNitrogenPhosphorusSoilWater

Identifiers

PMID41353235
PMCPMC12789675

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.