Evidence map›Paper›PMID 41776201›Full record

ArticleNature communications2026

Declining grassland canopy height in China under asymmetric biomass allocation.

Huaqiang Li, Xinmiao Hu, Fei Li, Yingjun Zhang, Kejian Lin, Jie Wang, Jiating 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Huaqiang Li *Institute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot, IM, China.ORCID http://orcid.org/0009-0000-5827-9831
Xinmiao Hu *Institute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot, IM, China.
Fei LiInstitute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot, IM, China. lifei01@caas.cn.ORCID http://orcid.org/0000-0002-3670-4574
Yingjun ZhangCollege of Grassland Science and Technology, China Agricultural University, Beijing, China. zhangyj@cau.edu.cn.ORCID http://orcid.org/0000-0001-5776-4392
Kejian LinInstitute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot, IM, China.
Jie WangCollege of Grassland Science and Technology, China Agricultural University, Beijing, China.ORCID http://orcid.org/0000-0003-1866-3999
Jiating WangNational Livestock Husbandry Station, Beijing, China.

Funding

Chinese Universities Scientific Fund 2025TC044National Natural Science Foundation of China (National Science Foundation of China) 42471426
6 · The paper itself

Abstract

Grassland canopy height is one of the most important traits for determining plant diversity and community structure, directly affecting the resource use efficiency of livestock in grassland ecosystems. However, broad-scale changes in grassland canopy height are seldom reported due to the complex effects of species aggregation on both interspecific and intraspecific structures. Here, we decouple grassland aboveground biomass into vertical and horizontal allocations, thereby offering a pathway to mirror changes in grassland canopy height. Grassland aboveground biomass is estimated using a machine learning algorithm by fusing climatic factors, satellite-driving metrics, and 8-year consecutive ground-truth surveys; the horizontal allocation of grassland aboveground biomass is derived from optimized linear spectral mixture analysis. We find that changes in horizontal biomass allocation primarily accounted for increases in Chinese grassland aboveground biomass from 2001 to 2022, resulting in a significant decline in grassland canopy height. The decline in grassland canopy height is shaped by reduced radiation and, more importantly, by the combined effects of warming and grazing, while also being related to variations in plant diversity. The dwarfing grassland community with declining canopy height may increase the impact of livestock disturbances, thus diminishing the resistance of grassland ecosystems to climate fluctuations.

Indexed as

BiomassGrasslandAnimalsBiodiversityChinaClimate ChangeEcosystemLivestock

Identifiers

PMID41776201
PMCPMC13066366

What OpenQuestion holds

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LicenceCC BY
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.