Evidence map›Paper›PMID 42706842›Full record

ArticleeLife2026

Small mammalian herbivores at moderate densities facilitate livestock growth by improving vegetation composition in grasslands.

Zhiwei Zhong, Bingbo Ni, Douglas Lawton, Xiaofei Li, Xiaona Zheng, Huakun Zhou, Junhu Su, Wenjin Li, Fujiang Hou, Zhenggang Guo and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in eLife, 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

16 authors.

Zhiwei Zhong *Key Laboratory of Vegetation Ecology of the Ministry of Education, Songnen Grassland Ecosystem National Observation and Research Station, Northeast Normal University, Changchun, China.ORCID https://orcid.org/0000-0001-8598-961X
Bingbo Ni *Key Laboratory of Marsh Wetland Ecosystem Conservation and Restoration, National Forestry and Grassland Administration, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China.
Douglas LawtonSchool of Sustainability, Arizona State University, Tempe, United States.
Xiaofei LiCollege of Resources and Environmental Sciences, Key Laboratory of Sustainable Utilization of Soil Resources in the Commodity Grain Bases in Jilin Province, Jilin Agricultural University, Changchun, China.
Xiaona ZhengKey Laboratory of Vegetation Ecology of the Ministry of Education, Songnen Grassland Ecosystem National Observation and Research Station, Northeast Normal University, Changchun, China.
Huakun ZhouQinghai Provincial Key Laboratory of Cold Regions Restoration Ecology, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China.
Junhu SuCollege of Grassland Science, Key Laboratory of Grassland Ecosystem (Ministry of Education), Gansu Agricultural University, Lanzhou, China.
Wenjin LiState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.
Fujiang HouChina-Kazakhstan Belt and Road Joint Laboratory on Grassland Ecological Restoration, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China.
Zhenggang GuoState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.
Quanmin DongKey Laboratory of Alpine Grassland Ecosystem in the Three-River-Source, Ministry of Education/Qinghai Provincial Key Laboratory of Adaptive Management on Alpine Grassland, Qinghai University, Xining, China.
Shikui DongSchool of Grassland Science, Beijing Forestry University, Beijing, China.
Christopher R DickmanSchool of Life and Environmental Sciences, The University of Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0002-1067-3730
Jens-Christian SvenningCenter for Ecological Dynamics in a Novel Biosphere (ECONOVO), Department of Biology, Aarhus University, Ny Munkegade, Aarhus C, Denmark.
Ying GaoKey Laboratory of Vegetation Ecology of the Ministry of Education, Songnen Grassland Ecosystem National Observation and Research Station, Northeast Normal University, Changchun, China.
Zhibin ZhangSchool of Ecology, Hainan International One Health Institute, Hainan Province Key Laboratory of One Health, Hainan University, Haikou, China.ORCID https://orcid.org/0000-0003-2090-7999

Funding

Center for Ecological Dynamics in a Novel Biosphere (ECONOVO), funded by Danish National Research Foundation DNRF173Jilin Province Science and Technology Development Program 20260205033GHNational Natural Science Foundation of China 32171675National Natural Science Foundation of China 32271761National Natural Science Foundation of China 32371587National Natural Science Foundation of China 32371684National Natural Science Foundation of China 32471624National Natural Science Foundation of China 32573607Talents Program of the Chinese Academy of Sciences E555S101The National Key R&D Program of China 2021YFD1300504The National Key R&D Program of China 2022YFD1302104The Open Project of the Qinghai Provincial Key Laboratory of Restoration Ecology in Cold Area 2023-KF-01
6 · The paper itself

Abstract

Small mammals and large herbivores have co-evolved in grasslands for millions of years, yet how they interact remains unclear. Although large herbivores can significantly affect the smaller ones, the reverse effect is largely unknown. On the Qinghai-Tibetan Plateau, plateau pikas (

Indexed as

GrasslandHerbivoryLagomorphaLivestockAnimalsCattlePopulation Densitycompetitionecologyfacilitationgrowthlivestockpika

Identifiers

PMID42706842
PMCPMC13553068

What OpenQuestion holds

Textmetadata
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.