Evidence map›Paper›PMID 30850539›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

Diversifying livestock promotes multidiversity and multifunctionality in managed grasslands.

Ling Wang, Manuel Delgado-Baquerizo, Deli Wang, Forest Isbell, Jun Liu, Chao Feng, Jushan Liu, Zhiwei Zhong, Hui Zhu, Xia Yuan and 2 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed.

  1. Article
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  3. Climate change drives a decline in global grazing systems.Proceedings of the National Academy of Sciences of the United States of America · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Ling WangKey Laboratory of Vegetation Ecology of Ministry of Education, Institute of Grassland Science, School of Environment, Northeast Normal University, Changchun, 130024 Jilin, China.ORCID 0000-0002-2276-9529
Manuel Delgado-BaquerizoCooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO 80309.ORCID 0000-0002-6499-576X
Deli WangKey Laboratory of Vegetation Ecology of Ministry of Education, Institute of Grassland Science, School of Environment, Northeast Normal University, Changchun, 130024 Jilin, China; wangd@nenu.edu.cn.
Forest IsbellDepartment of Ecology, Evolution, and Behavior, University of Minnesota, Saint Paul, MN 55108.
Jun LiuKey Laboratory of Vegetation Ecology of Ministry of Education, Institute of Grassland Science, School of Environment, Northeast Normal University, Changchun, 130024 Jilin, China.
Chao FengKey Laboratory of Vegetation Ecology of Ministry of Education, Institute of Grassland Science, School of Environment, Northeast Normal University, Changchun, 130024 Jilin, China.
Jushan LiuKey Laboratory of Vegetation Ecology of Ministry of Education, Institute of Grassland Science, School of Environment, Northeast Normal University, Changchun, 130024 Jilin, China.
Zhiwei ZhongKey Laboratory of Vegetation Ecology of Ministry of Education, Institute of Grassland Science, School of Environment, Northeast Normal University, Changchun, 130024 Jilin, China.
Hui ZhuKey Laboratory of Vegetation Ecology of Ministry of Education, Institute of Grassland Science, School of Environment, Northeast Normal University, Changchun, 130024 Jilin, China.
Xia YuanKey Laboratory of Vegetation Ecology of Ministry of Education, Institute of Grassland Science, School of Environment, Northeast Normal University, Changchun, 130024 Jilin, China.
Qing ChangKey Laboratory of Vegetation Ecology of Ministry of Education, Institute of Grassland Science, School of Environment, Northeast Normal University, Changchun, 130024 Jilin, China.
Chen LiuKey Laboratory of Vegetation Ecology of Ministry of Education, Institute of Grassland Science, School of Environment, Northeast Normal University, Changchun, 130024 Jilin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing plant diversity can increase ecosystem functioning, stability, and services in both natural and managed grasslands, but the effects of herbivore diversity, and especially of livestock diversity, remain underexplored. Given that managed grazing is the most extensive land use worldwide, and that land managers can readily change livestock diversity, we experimentally tested how livestock diversification (sheep, cattle, or both) influenced multidiversity (the diversity of plants, insects, soil microbes, and nematodes) and ecosystem multifunctionality (including plant biomass production, plant leaf N and P, above-ground insect abundance, nutrient cycling, soil C stocks, water regulation, and plant-microbe symbiosis) in the world's largest remaining grassland. We also considered the potential dependence of ecosystem multifunctionality on multidiversity. We found that livestock diversification substantially increased ecosystem multifunctionality by increasing multidiversity. The link between multidiversity and ecosystem multifunctionality was always stronger than the link between single diversity components and functions. Our work provides insights into the importance of multitrophic diversity to maintain multifunctionality in managed ecosystems and suggests that diversifying livestock could promote both multidiversity and ecosystem multifunctionality in an increasingly managed world.

Indexed as

BiodiversityGrasslandLivestockAnimal HusbandryAnimalsCattleConservation of Natural ResourcesEcosystemSheepecosystem multifunctionalitygrassland grazing managementlivestock diversitymixed grazingmultiple trophic diversity

Identifiers

PMID30850539
PMCPMC6442565

What OpenQuestion holds

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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.